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Mateus, N. et al.: EXPLORING GAME PERFORMANCE IN NBA PLAYOFFS Kinesiology 50(2018)1:89-96 EXPLORING GAME PERFORMANCE IN NBA PLAYOFFS Nuno Mateus1, Bruno Gonçalves1, Eduardo Abade2, Nuno Leite1, Miguel Angel Gomez3, and Jaime Sampaio1 1 Research Center in Sports Sciences, Health Sciences and Human Development, CIDESD, CreativeLab Research Community, Portugal 2 Research Center in Sports Sciences, Health Sciences and Human Development, CIDESD, CreativeLab Research Community, University Institute of Maia, ISMAI, Portugal 3 Faculty of Physical Activity and Sport Sciences, Polytechnic University of Madrid, Spain Original scientific paper https://doi.org/10.26582/k.50.1.7 UDC: 796.323.2:796.071.2 Abstract: This study aimed to identify performance profiles in NBA playoffs and describe performances in the first and the last games of the series. Thirty games from the official box-scores and player-tracking data of the 2014/15 NBA playoffs were considered. A k-means cluster analysis was performed to group the players according to their game performance profiles and a discriminant analysis was conducted to identify the game-related statistics that best discriminated the groups. The first function correctly classified 64.2% of the cases and the second function classified 29.9% of the cases. The cluster analysis identified four different performance profiles and from the discriminant analysis emerged several offensive and defensive variables to classify the players in the clusters. The identified trends help to improve understanding of the game during different stages of playoffs. Coaches may use this information to better prepare their teams for different game scenarios. Key words: game statistics, players profile, discriminant analysis Introduction partly because their performance may drop due to The National Basketball Association (NBA) the increased stress over their actions, such as in a is consensually considered the most popular and deciding playoff game. In fact, performance under competitive basketball league in the world. The pressure is mediated by several factors that may competition is organized into two conferences and have an effect on players' mind-set, such as leading or losing a series in a potential decisive game or six divisions, with a regular season comprising 82 playing in front of supportive audiences (Tauer, games for each team. The conferences' top eight Guenther, & Rozek, 2009). This inherent pressure teams compete for the championship in a playoff of decisive moments tends to increase self-aware- system (available at http://www.nba.com/). This ness and conscious attention, which may lead to competition system exposes players to a highly- performance decrements (Beilock & Gray, 2007; congested schedule that directly affects their perfor- Wallace, Baumeister, & Vohs, 2005). Under this mance. Therefore, the multifactorial performance scope, game-related statistics have been used to determinants of basketball players in the NBA are evaluate technical and tactical behaviours within highly influenced by the contextual variables related different sporting contexts in basketball (Sampaio, to the game type (Gómez, Lago, & Pollard, 2013), et al., 2015), and are considered relevant when game location (Ibáñez, et al., 2008), physiological predicting the game outcome (Percy, 2015). For stress, travels and accumulated fatigue (Gonzalez, example, playoffs phase increases the probability et al., 2013). These factors should be monitored by of close contested games to occur, with fouls and technical staffs during the season's planning for a free-throws exhibiting increased significance for fine-tune evaluation of their performance. defining the game outcome (Sampaio & Janeira, Another significant variable that may also 2003). Despite changes in players' performance affect players' performance is the game impor- along a playoff series, this topic is quite unexplored tance (Baumeister, 1984). From a psychological by current literature. approach, the game importance seems determi- Although a series potential deciding game nant when players are exposed to higher pressure, may have a significant impact on players' behav- 89
Mateus, N. et al.: EXPLORING GAME PERFORMANCE IN NBA PLAYOFFS Kinesiology 50(2018)1:89-96 iour (Tauer, et al., 2009), it is unclear which indi- teams may show a non-equilibrium state where each cators best discriminate performance ups and behaviour and action may modify the game state downs during these moments and, consequently, and then the final outcome with one team facing which players perform better under these circum- the elimination (Gomez, et al., 2016). No games stances. For that reason it is important to under- have been excluded, regardless the game outcome stand how players use information provided by the or the occurrence of additional periods. The game- competitive environment (Davids, Araujo, Correia, related statistics gathered were: field-goals (2-point, & Vilar, 2013), but it is also imperative to know 3-point, contested, uncontested, and defended at which players use it better to improve their asser- rim) made and attempted, free-throws made and tiveness and decision making, mainly in decisive attempted, assists (assists, secondary assists, and games. Under this scope, the data gathered during free-throw assists), touches, passes made, rebounds a competition may highlight important predic- (offensive, offensive rebounds chances, defensive, tors that can be used to discriminate players into and defensive rebounds chances), steals, blocks, different performance groups. From a methodolog- turnovers, personal fouls, average speed and ical perspective, the cluster analysis has been exten- distance covered. The source used for gathering sively used within this principle. This classification these variables is reliable as stated by Gomez et technique may be useful to establish and compare al. (2016) and Sampaio et al. (2015). In addition, a performance profiles, according to some variables, sub-sample of five games were re-analysed by two such as players' importance (Sampaio, et al., 2015), experienced analysts and the results of inter-rater team quality (Sampaio, Drinkwater, & Leite, 2010), reliability were high (kappa coefficients >.90) in all or playing time (Mateus, et al., 2015). It also can game statistics. Physical parameters could not be provide important information on how the players reassessed due to limitations of the video footage behave and deal with different circumstances in the provided by the SportsVU company (Northbrook, game, particularly during playoff games. IL, USA). The use of game-performance statistics to monitor players' performance during a game has Procedure and statistical analysis been widely explored, mainly during regular season The considered variables of the first and the last periods (Gomez, Gasperi, & Lupo, 2016; Ibáñez, et game from all playoff series were screened for univar- al., 2008). However, the fact is that playoff games iate outliers (cases outside the range of Mean±3SD) have unique characteristics that require players to and data distribution was tested, together with deal with circumstances rarely experienced during advised assumptions for each following inferential the first competition phase of the season (García, analysis (Pedhazur, 1982). In order to compare the Ibáñez, Santos, Leite, & Sampaio, 2013; Sampaio game-related statistics collected among the groups, & Janeira, 2003). Taking the above-mentioned the variables were normalized according to every issues into consideration, this study aimed to iden- player's playing time, resulting in derived-rate vari- tify different performance profiles in NBA playoffs ables. A k-means cluster analysis was performed and describe differences in performance in the first with the aim of creating and describing maximally and the last game of the series. different groups of game performance profiles using the variables from both games. The cubic clustering Methods criterion, together with Monte Carlo simulations, was used to identify the optimal number of clus- Sample of subjects and variables ters, thereby avoiding using subjective criteria. This Archival data were obtained from the open- statistical technique requires that all cases have no access official NBA box-scores and player-tracking missing values in any of the variables introduced in of the 2014/2015 playoffs (available at http://stats. the model. Afterwards, to identify which variables nba.com). The competition was carried out in a best- best discriminate the previously obtained clusters, a of-seven elimination tournament among 16 teams, descriptive discriminant analysis was conducted. The where only the best eight teams of each Confer- structure coefficients greater than |0.30| were inter- ence (East and West) participated. This comprises preted as meaningful contributors to the discrimina- the first-round, conference semi-finals, conference tion between the groups (Pedhazur, 1982). Valida- finals and NBA final playoffs. A total of 30 games tion of discriminant models was conducted using the was considered in order to analyse only the first and leave-one-out method of cross-validation (Norušis, the last game of each series. The first game repre- 2006). Descriptive analysis was performed to all sents teams within same statuses in the beginning of variables (M±SD) according to the obtained clusters. the series; it is of high importance to start winning Statistical significance was set at p=.05 and calcu- the series and to keep the home-court advantage lations were performed using JMP statistics soft- along the next games. The last game is critical and ware package (release 11.0, SAS Institute, Cary, NC, decisive since one or both teams face the elimina- USA) and SPSS software (IBM SPSS Statistics for tion; it presents unpredictable contexts in which the Windows, Version 22.0. Armonk, NY: IBM Corp.). 90
Mateus, N. et al.: EXPLORING GAME PERFORMANCE IN NBA PLAYOFFS Kinesiology 50(2018)1:89-96 Results The tables also presented the structure coeffi- The cluster analysis allowed us to create four cients from the functions that allow discriminating of different groups of game-performance profiles. the groups. The structure coefficients from the first The means and standard deviations from the function (% of variance explained=64.2) reflected game-related variables according to the clusters are a stronger emphasis on touches (SCfirst-game= 0.605, presented in Table 1 (includes: field-goals, 3-point SClast-game=0.601), and a smaller but equally impor- field-goals and free-throws' statistics) and Table 2 tant emphasis on passes made (SCfirst-game=0.498, (contains other performance indicators gathered for SClast-game=0.495) and field-goals attempted (SCfirst- the study). game =0.484, SClast-game =0.489), in both the first and Cluster 1 incorporated players with the worst the last game of the series. This function also overall performance values in both the first and the emphasized distance run, but only in the last game last game of the series. The players from cluster of the playoff series (SClast-game=0.455). The second 2 presented the best values in almost all offen- function (% of variance explained=26.9) is high- sive game-statistics, especially in shooting and lighted by "without-ball" actions, such as rebounds passing variables. In these players also the differ- (offensive rebounds [SCfirst-game=0.498] and offensive ences between the first and the last game of the [SCfirst-game=0.475] and defensive [SCfirst-game= 0.422] series were displayed. Cluster 3 gathered players rebound chances) and field-goals defended at rim who stood out in rebounds, blocks and field-goals attempted (SCfirst-game=0.479), particularly in the first defended at rim. These players showed differences game of the playoff series. in field-goals made, free-throws and assists between Complementarily, Figure 1a presents a territo- the first and the final game of the series. The players rial map from the cases and created clusters within from cluster 4 performed closer to cluster 2 players the space from the first and second discriminant in some shooting variables, especially in 3-point functions. The cluster 2 players had better perfor- field-goals (made and attempted) and in uncontested mances in the variables related to function 1, while field-goals (made and attempted), in both the first the players from cluster 3 had better performances and the last game of the series. in the variables related to function 2. Figures 1b Table 1. Means, standard deviations and structure coefficients from the obtained model of clusters Function 1 Function 2 Cluster/Variable Cluster 1 Cluster 2 Cluster 3 Cluster 4 (64.2%) (26.9%) Made – First game 1.5±1.4 8.5±3.3 4.7±2.8 4.4±2.1 0.430* -0.054 Made – Last game 1.3±1.3 8.0±2.7 5.4±2.4 4.0±2.7 0.418* 0.067 Attempted – First game 3.7±2.8 18.9±5.6 10.4±6.1 10.1±3.9 0.484* -0.078 Attempted – Last game 3.6±2.8 18.2±5.4 10.6±5.0 9.6±4.3 0.489* -0.037 Contested Made – First game 0.8±1.1 4.9±2.4 3.5±2.1 2.1±1.7 0.342* 0.105 Contested Made – Last game 0.8±1.1 4.3±2.2 3.8±2.1 1.8±1.7 0.317* 0.218 Contested Attempted – First game 2.0±2.2 10.7±4.1 7.2±3.9 4.9±3.1 0.393* 0.077 Field-goals Contested Attempted – Last game 2.0±2.0 9.6±3.9 7.2±3.8 4.4±2.8 0.375* 0.139 Uncontested Made b – First game 0.6±0.8 3.6±2.0 1.2±1.6 2.3±1.5 0.272* -0.214 Uncontested Made b – Last game 0.6±0.7 3.7±2.1 1.6±1.6 2.2±1.8 0.278* -0.137 Uncontested Attempted b – First game 1.7±1.5 8.2±3.4 3.3±3.2 5.2±2.5 0.339* -0.229 Uncontested Attempted b – Last game 1.6±1.5 8.6±3.5 3.4±2.8 5.2±2.7 0.367* -0.223 Defended at Rim Made – First game 1.0±1.3 1.7±1.6 4.0±2.5 1.4±1.5 0.118 0.375* Defended at Rim Made – Last game 1.0±1.1 1.6±1.7 3.1±2.3 1.2±1.2 0.109 0.302* Defended at Rim Attempted – First game 1.9±2.3 3.3±2.3 7.7±3.8 2.5±2.0 0.146 0.479* Defended at Rim Attempted – Last game 1.8±2.1 3.1±3.2 6.4±3.9 2.2±2.1 0.124 0.363* Made – First game 0.3±0.6 1.6±1.6 0.2±0.5 1.7±1.5 0.153 -0.295 field goals 3 Point Made – Last game 0.2±0.5 2.1±1.9 0.2±0.6 1.5±1.5 0.198 -0.257* Attempted – First game 1.0±1.4 4.9±2.9 1.0±1.4 4.3±2.8 0.220 -0.339 Attempted – Last game 1.0±1.5 5.8±3.4 1.0±2.0 4.1±2.6 0.259 -0.340* Made – First game 0.6±1.1 4.6±3.2 2.3±2.0 1.7±1.9 0.281* -0.015 Free-throws Made – Last game 0.6±1.2 4.8±4.1 3.4±2.2 1.5±1.6 0.284* 0.129 Attempted – First game 0.9±1.5 5.9±3.7 3.6±3.1 2.3±2.2 0.282* 0.051 Attempted – Last game 0.9±1.5 5.9±4.7 5.2±3.1 2.0±2.2 0.283* 0.205 Legend: b - variables not entering the canonical discriminant analysis model. *p
Mateus, N. et al.: EXPLORING GAME PERFORMANCE IN NBA PLAYOFFS Kinesiology 50(2018)1:89-96 Table 2. Means, standard deviations and structure coefficients from the obtained model of clusters Function 1 Function 2 Cluster/Variable Cluster 1 Cluster 2 Cluster 3 Cluster 4 (64.2%) (26.9%) Assists – First game 0.8±1.1 6.4±3.1 2.4±2.4 2.5±1.7 0.376* -0.118 Assists – Last game 0.8±1.1 6.6±3.0 1.6±1.6 2.5±2.2 0.372* -0.222 Secondary Assists – First game 0.3±0.6 1.3±1.1 0.8±0.9 0.8±1.0 0.163* -0.014 Secondary Assists – Last game 0.2±0.6 1.3±1.2 0.6±0.7 0.5±0.8 0.175* -0.024 Free Throw Assists – First game 0.0±0.2 0.6±0.7 0.1±0.4 0.3±0.6 0.134 -0.138* Free Throw Assists – Last game 0.1±0.2 0.8±1.0 0.3±0.6 0.3±0.5 0.177* -0.037 Touches – First game 20.1±12.3 87.1±15.9 52.8±19.6 47.0±15.3 0.605* -0.030 Touches – Last game 20.4±15.0 88.9±19.0 53.8±16.9 44.1±14.0 0.601* 0.005 Passes Made – First game 14.8±9.5 59.1±14.0 37.9±15.4 32.7±12.6 0.498* 0.003 Passes Made – Last game 15.4±12.1 60.6±14.4 38.4±14.0 30.8±11.5 0.495* 0.026 Offensive Rebounds – First game 0.8±1.1 1.0±1.2 3.3±2.0 0.7±0.8 0.095 0.498* Offensive Rebounds – Last game 0.7±1.1 1.2±1.2 2.6±1.7 0.7±1.0 0.104 0.346* OR Chances – First game 1.6±1.9 2.1±1.7 5.7±3.0 1.6±1.5 0.103 0.475* OR Chances – Last game 1.4±1.6 2.2±2.1 4.5±3.0 1.4±1.7 0.102 0.352* Defensive Rebounds – First game 1.7±1.7 5.3±3.1 6.8±2.2 3.4±2.4 0.275 0.333* Defensive Rebounds – Last game 1.6±1.7 5.8±3.5 6.9±3.5 3.5±2.4 0.274 0.288* DR Chances – First game 2.9±2.4 7.8±3.7 11.0±3.5 5.2±3.3 0.291 0.422* DR Chances – Last game 2.7±2.5 8.1±3.8 10.6±4.6 5.2±3.2 0.279 0.349* Steals – First game 0.4±0.7 1.8±1.2 0.7±0.8 1.0±1.1 0.186* -0.110 Steals – Last game 0.3±0.6 1.6±1.4 0.8±1.2 0.7±1.0 0.182* -0.021 Blocks – First game 0.2±0.6 0.6±1.0 1.4±1.5 0.4±0.6 0.094 0.278* Blocks – Last game 0.3±0.6 0.7±1.0 1.1±1.3 0.5±0.9 0.090 0.147* Turnovers – First game 0.6±0.8 3.0±1.9 1.7±1.5 1.5±1.4 0.255* -0.022 Turnovers – Last game 0.4±0.7 3.4±2.6 1.8±1.3 1.3±1.2 0.300* 0.010 Personal Fouls – First game 1.5±1.3 2.4±1.5 2.9±1.4 2.4±1.4 0.125 0.094 Personal Fouls – Last game 1.6±1.5 2.8±1.5 3.0±1.7 2.5±1.5 0.127 0.076 Average Speed – First game 4.3±0.7 4.0±0.3 4.0±0.2 4.2±0.3 -0.086* -0.067 Average Speed – Last game 4.2±0.7 4.0±0.2 4.0±0.2 4.2±0.3 -0.046 -0.064 Distance Run – First game 0.9±0.5 2.6±0.3 2.1±0.5 2.1±0.5 0.515 0.017 Distance Run – Last game 0.9±0.6 2.6±0.4 2.2±0.4 2.0±0.6 0.455* 0.064 *p
Mateus, N. et al.: EXPLORING GAME PERFORMANCE IN NBA PLAYOFFS Kinesiology 50(2018)1:89-96 have a balanced representation in all clusters, as overs. This performance profile is typical of players opposed to the players of the first-round losing team with higher offensive propensity (Sampaio, Ibañez that are mostly allocated to clusters 1 and 4. Godoy, Gómez Ruano, Lorenzo Calvo, & Ortega Toro, 2008; Sampaio, et al., 2015). These trends Discussion and conclusions have also been noticed by Fewell, Armbruster, This study aimed to identify how the basket- Ingraham, Petersen, and Waters (2012), who suggest ball game-related variables from the first and the that NBA teams use a playmaker to centralise ball last game of the NBA playoffs series contributed to distribution during ball possessions. the development of different performance profiles. The players from cluster 3 had good perfor- Differences in NBA players' performances were mance in the actions of both functions, nonetheless identified, as well as the game related-statistics that they had a greater affinity with the second func- best discriminate performance profiles in compe- tion variables. Despite of their offensive impor- tition. tance, these players particularly stood out in defen- sive processes of their teams, presenting a greater Describing different game performance emphasis on no ball actions (rebounds, blocks, field profiles goals defended at rim), which might be synony- mous with greater physical and combat capacity The cluster analysis identified four different (Sampaio, Drinkwater, et al., 2010; Sampaio, et al., groups of players according to their game perfor- 2006). Offensively, the players presented important mance. The groups differed from each other in free-throws values, a typical outcome of excessive offensive and defensive game statistics, although contacts during a shot and in offensive rebounds discrepancies in some physical variables were also observed. variable. Moreover, these players presented lower Cluster 1 players presented a lower associ- values in the variables related to the three-point ation with most of the variables, which may be field-goals, which may indicate that they perform related to their less important role on the teams, near to the basket (Sampaio, et al., 2006). In defence as reported in Sampaio and colleagues (2010). In game statistics, these players differed from the fact, if we examine game statistics of both games, other clusters in the following indicators: defensive these players had lower average values in almost rebounds, defensive rebound chances, field goals all variables (except for offensive rebounds chances defended at rim and blocks. This is in accordance and average speed) when compared to the players with the previously mentioned characteristics of classified in the other clusters. Interestingly, these these players ‒ they are powerful men who perform players covered less distances, but exhibited higher especially without the ball and preferentially in the average speed values regardless of the game. It may paint (Sampaio, et al., 2006). In fact, current NBA be speculated that lower distances covered were a centers tend to be less technically prepared and consequence of less playing time being the result of more specialised in physical and defensive actions their poorer performance (Sampaio, Drinkwater, et close to the paint zone without the ball (Erčulj al., 2010; Sampaio & Janeira, 2003). According to & Štrumbelj, 2015). This is key information for Sampaio and others (2015), higher average speed coaches, since it reveals that during playoffs players values could be a result of players' bad decisions with this performance profile can play an important of when and where to run in offense and defence, role on both sides of the court. which required from Cluster 1 players to run faster The players in cluster 4 had a greater affinity in order to correct their position on the court. These with the function 1. Despite playing less time and results showed that even in crucial moments of the not being the main offensive "threats" (cluster 2 season, where only the best teams compete, there players showed a greater correlation with the first is space for players with clearly poor performance. function variables and presented higher frequency The players from cluster 2 performed better of offensive actions), these players appear to be in the function 1 variables. Since this function is important in the offensive phase, particularly when mainly saturated with offensive actions, we can shooting (3-point field-goals and uncontested field predict that players integrated in this cluster had goals made), which may be a strong indicator of great importance in the offensive organizational their outside shooting ability (García, et al., 2013). and scoring processes of their teams, like guards These results reinforce the offensive collective or small forwards (Mateus, et al., 2015; Sampaio, behaviour of NBA teams depicted by Fewell et al. Janeira, Ibáñez, & Lorenzo, 2006; Sampaio, et al., (2012), since passing sequences are strongly focused 2015). Coaching staffs should consider this infor- on open situations for shooter specialists, such as mation, especially if they want to overtake the shooting-guards or power-forwards (Fewell, et al., strengths of the opponents, since game statistics 2012). show that these players stand out considerably from In addition, there is a clear contrast in the the others in field-goals made and attempted, free- number of players from different clusters between throws made, touches, assists, passes made and turn- the winning team and the first-round losers. Inter- 93
Mateus, N. et al.: EXPLORING GAME PERFORMANCE IN NBA PLAYOFFS Kinesiology 50(2018)1:89-96 estingly, the players from the losing teams are in the last game, which highlights the importance mostly allocated in the clusters with low or less of shooting the ball instead of passing it at a high- dominant performances (clusters 1 and 4). More- level competition. According to Courel-Ibáñez et al. over, the first-round loser team only presents one (2016), the inside-pass may be a functional collec- player in cluster 3, which asserts the idea that tive strategy to using the athleticism of taller inside the NBA worst ranked-teams have difficulties players, since NBA teams that execute this type in achieving good performances close to the rim of action during offense, tend to enhance inside (Courel-Ibáñez, McRobert, Toro, & Vélez, 2016). shooting options and effectiveness. Conversely, although the final winners had a high In the last game of the playoff series, players concentration of players in cluster 4, they were also appeared to prefer shooting from outside the paint, widely represented in cluster 2, which demonstrates maybe because defences became more consistent their greater importance and offensive value. and tougher, thus impairing chances of penetrating or playing one-on-one (Gomez, et al., 2010). Addi- Comparing performances between the tionally, some players resent in the most important first and the last game of a playoff series games, betting less on individual actions, played The presented game statistics show that the in a cooperative way (Sampaio, et al., 2010) thus players performed differently between the first and avoiding risky options, perhaps because they felt the greater importance of the last game. Between the last game of the playoff series. However, differ- the first and the last game of the playoffs players ences were not as significant as expected. Further- tended to play more collectively (performing fewer more, it did not exist a uniform relation between the shots and more passes), penetrated less to the basket groups, because not all players presented a break or (the increased number of three-point field-goals and an increase at the same game statistics. The results fewer contested field-goals), teams favoured the ball of the present study clearly show that: a) most of rotation between their players in order to destabi- the players took more shots in the first game of lize defence and enable, create open shots without the series; b) there is a greater tendency to resort opposition (an increase in the number of passes to certain players in the last game of the series; c) and touches on the ball) (Gómez, Tsamourtzis, & there is a greater tendency to execute, take outside Lorenzo, 2006). In fact, this could be an efficient shots in the last game of the series; d) in the last solution since consecutive performance of several game, players performed more passes and revealed offensive actions, such as inside passes (Courel- a higher number of ball touches; and e) in the last Ibáñez, et al., 2016) and ball-screens (Gómez, et game, players performed more fouls and achieved al., 2015) with different players involved, lead to a greater performance in some defensive actions a defensive imbalance (Lamas, Santana, Heiner, (e.g., defensive rebounds). Ugrinowitsch, & Fellingham, 2015), which enables Under pressure, some players tend to take fewer promising scoring situations inside the paint and shots to the basket (Wallace, Caudill, & Mixon, opportunities to assist open teammates. This trend 2013). Therefore, with the exception of cluster 3, is evident in most of the players, but mainly in players shot more in the first game of the playoff cluster 2 ones who excelled in the first function series. A decrease in the number of field-goals variables (field-goals made, field-goals attempted, may be due to higher psychological pressure asso- assists, passes and touches), but from the first to the ciated to the last game, which is considered a deci- last game, both the field-goals made and attempted sive game (Swartz, Tennakoon, Nathoo, Tsao, & diminished and they executed fewer contested field- Sarohia, 2011). As previously mentioned, cluster 3 goals. On the other hand, they performed more players have a greater emphasis on actions closer three-point field goals made and attempted, passed to the basket, which indicates that they act prefer- the ball more frequently and executed more assists. ably near to the basket as center players. Since they The idea that in the last game defences become are the ones in whom an increase in the number of more conservative in order to preclude easy shots field-goals made and field-goals attempted occurs and provide less space for opposing players to play between the first and the last game, our results one-on-one situations is also present. This is more suggest that in playoffs, when pressure increases evident in personal fouls, which is the only uniform (last game), there is a tendency to recourse to variable among the groups, because all clusters players with these characteristics. Perhaps because present an increase in personal fouls from the first teams look for easier and more effective strategies to the last game. The larger number of personal to achieve points (Gomez, et al., 2016). This issue fouls can be interpreted as a greater defensive atti- becomes even more evident when we compare the tude and aggressiveness. Besides that, it can also variables of free-throws of the first and the last be an indicator of strategies to constrain and stop game – these players presented a higher average offensive processes of opposing teams or even to in the deciding game, synonymous with attacking force less skilled players to go to the free-throw line the basket and having the ball in their possession (Bar-Eli & Tractinsky, 2000; Kenter, 2015). The more frequently. They also performed fewer assists values found in the defensive rebounds support the 94
Mateus, N. et al.: EXPLORING GAME PERFORMANCE IN NBA PLAYOFFS Kinesiology 50(2018)1:89-96 hypothesis that in the last game defences became series, possibly due to a greater psychological load more cohesive, because there was an increase in the associated with the last game. In the decisive game number of defensive rebounds in almost all groups. there was a greater tendency to taking perimeter This cohesion and teamwork seem to force the shots, to perform more passes and touches of the opposing team to shoot hastily (García, et al., 2013; ball, probably because defences became more cohe- Trninić, Dizdar, & Lukšić, 2002). Consequently, sive and closed, giving less space to penetrate or to the defending teams secure more easily defensive play one-on-one, and forcing the players to shoot rebounds, preventing offensive rebounds and poten- outside the three-point line. So, offences favoured tial second shots from the opposite teams (Trninić, the ball rotation to destabilize defences and looked et al., 2002). However, it is necessary to account for for certain players, with the intention of attempting players' fatigue that increases throughout the game less risky shots, preferably without the opposition. (Abdelkrim, et al., 2010). Collectively, team defence Also in the last game, players committed more fouls begins to be slower and more dispersed (Sampaio, and achieved a greater performance in some defen- Gonçalves, Rentero, Abrantes, & Leite, 2014); this sive actions. Probably, defensive players became is the reason why the final quarter of a game may more aggressive and displayed more attitude and represent a critical moment for defences and a key effort to preclude opponents' unopposed shots, opportunity for offenses. the second ball possessions or easy baskets. Thus, This study provides information about different coaches should design specific training programs stages of playoffs. Different groupings were identi- to prepare – psychologically and technically – fied based on players' performance, particularly in players for this moments, considering their indi- relation to organizational, scoring and without-the- viduality and role on the team, and develop special ball game-statistics. It was found that most players tactics according to the game changes that occur took shots more frequently in the first game of the throughout playoffs series. References Abdelkrim, N.B., Castagna, C., Jabri, I., Battikh, T., El Fazaa, S., & El Ati, J. (2010). Activity profile and physiological requirements of junior elite basketball players in relation to aerobic-anaerobic fitness. Journal of Strength and Conditioning Research, 24(9), 2330-2342. Bar-Eli, M., & Tractinsky, N. (2000). Criticality of game situations and decision making in basketball: An application of performance crisis perspective. Psychology of Sport and Exercise, 1(1), 27-39. Baumeister, R.F. (1984). Choking under pressure: Self-consciousness and paradoxical effects of incentives on skillful performance. Journal of Personality and Social Psychology, 46(3), 610. Beilock, S.L., & Gray, R. (2007). Why do athletes choke under pressure? In G. Tenenbaum & B. Eklund (Eds.), Handbook of sport psychology, 3rd ed. (pp. 425-444). New Jersey: John Wiley & Sons. Courel-Ibáñez, J., McRobert, A.P., Toro, E.O., & Vélez, D.C. (2016). Inside pass predicts ball possession effectiveness in NBA basketball. International Journal of Performance Analysis in Sport, 16(2), 711-725. Davids, K., Araujo, D., Correia, V., & Vilar, L. (2013). How small-sided and conditioned games enhance acquisition of movement and decision-making skills. Exercise and Sports Science Review, 41(3), 154-161. Erčulj, F., & Štrumbelj, E. (2015). Basketball shot types and shot success in different levels of competitive basketball. PLoS ONE, 10(6), e0128885. Fewell, J.H., Armbruster, D., Ingraham, J., Petersen, A., & Waters, J.S. (2012). Basketball teams as strategic networks. PLoS ONE, 7(11), e47445. García, J., Ibáñez, S.J., Santos, R.M.D., Leite, N., & Sampaio, J. (2013). Identifying basketball performance indicators in regular season and playoff games. Journal of Human Kinetics, 36, 163-170. Gómez, Á., Tsamourtzis, E., & Lorenzo, A. (2006). Defensive systems in basketball ball possessions. International Journal of Performance Analysis in Sport, 6(1), 98-107. Gómez, M.-Á., Battaglia, O., Lorenzo, A., Lorenzo, J., Jiménez, S., & Sampaio, J. (2015). Effectiveness during ball screens in elite basketball games. Journal of Sports Sciences, 33(17), 1844-1852. Gomez, M.A., Gasperi, L., & Lupo, C. (2016). Performance analysis of game dynamics during the 4th game quarter of NBA close games. International Journal of Performance Analysis in Sport, 16(1), 249-263. Gómez, M., Lago, C., & Pollard, R. (2013). Situational variables. In T. McGarry, P. O' Donoghue & J. Sampaio (Eds.), Routledge handbook of sports performance analysis (pp. 259-269). London: Routledge. Gomez, M., Lorenzo, A., Ibanez, S.J., Ortega, E., Leite, N., & Sampaio, J. (2010). An analysis of defensive strategies used by home and away basketball teams. Perceptual and Motor Skills, 110(1), 159-166. Gonzalez, A.M., Hoffman, J.R., Rogowski, J.P., Burgos, W., Manalo, E., Weise, K., Fragala, M.S., Stout, J.R. (2013). Performance changes in NBA basketball players vary in starters vs. nonstarters over a competitive season. Journal of Strength and Conditioning Research, 27(3), 611-615. 95
Mateus, N. et al.: EXPLORING GAME PERFORMANCE IN NBA PLAYOFFS Kinesiology 50(2018)1:89-96 Ibáñez, S.J., Sampaio, J., Feu, S., Lorenzo, A., Gómez, M.A., & Ortega, E. (2008). Basketball game-related statistics that discriminate between teams' season-long success. European Journal of Sport Science, 8(6), 369-372. Kenter, F.H. (2015). An analysis of the basketball endgame: When to foul when trailing and leading. In 9th MIT Sloan Sports Analytics Conference. Lamas, L., Santana, F., Heiner, M., Ugrinowitsch, C., & Fellingham, G. (2015). Modeling the offensive-defensive interaction and resulting outcomes in basketball. PLoS ONE, 10(12), e0144435. Mateus, N., Gonçalves, B., Abade, E., Liu, H., Torres-Ronda, L., Leite, N., & Sampaio, J. (2015). Game-to-game variability of technical and physical performance in NBA players. International Journal of Performance Analysis in Sport, 15, 764-776. Norušis, M.J. (2006). SPSS 14.0 guide to data analysis. Upper Saddle River, NJ: Prentice Hall. Pedhazur, E. (1982). Multiple regression in behavioral research: Explanation and prediction. New York: Holt, Rinehart and Winston. Percy, D.F. (2015). Strategy selection and outcome prediction in sport using dynamic learning for stochastic processes. Journal of the Operational Research Society, 66(11), 1840-1849. Sampaio, J., Drinkwater, E.J., & Leite, N.M. (2010). Effects of season period, team quality, and playing time on basketball players' game-related statistics. European Journal of Sport Science, 10(2), 141-149. Sampaio, J., Gonçalves, B., Rentero, L., Abrantes, C., & Leite, N. (2014). Exploring how basketball players' tactical performances can be affected by activity workload. Science and Sports, 29(4), e23-e30. Sampaio, J., Ibañez Godoy, S.J., Gómez Ruano, M.Á., Lorenzo Calvo, A., & Ortega Toro, E. (2008). Game location influences basketball players performance across playing positions. International Journal of Sport Psychology, 39(3), 43-50. Sampaio, J., & Janeira, M. (2003). Statistical analyses of basketball team performance: Understanding teams' wins and losses according to a different index of ball possessions. International Journal of Performance Analysis in Sport, 3, 40-49. Sampaio, J., Janeira, M., Ibáñez, S., & Lorenzo, A. (2006). Discriminant analysis of game-related statistics between basketball guards, forwards and centres in three professional leagues. European Journal of Sport Science, 6, 173-178. Sampaio, J., Lago, C., & Drinkwater, E.J. (2010). Explanations for the United States of America's dominance in basketball at the Beijing Olympic Games (2008). Journal of Sports Sciences, 28(2), 147-152. Sampaio, J., McGarry, T., Calleja-González, J., Sáiz, S.J., Alcázar, X.S. i. d., & Balciunas, M. (2015). Exploring game performance in the National Basketball Association using player tracking data. PLoS ONE, 10(7), e0132894. Swartz, T.B., Tennakoon, A., Nathoo, F., Tsao, M., & Sarohia, P. (2011). Ups and downs: Team performance in best- of-seven playoff series. Journal of Quantitative Analysis in Sports, 7(4), 1559-0410. Tauer, J.M., Guenther, C.L., & Rozek, C. (2009). Is there a home choke in decisive playoff basketball games? Journal of Applied Sport Psychology, 21(2), 148-162. doi: 10.1080/10413200902795331 Trninić, S., Dizdar, D., & Lukšić, E. (2002). Differences between winning and defeated top quality basketball teams in final tournaments of European club championship. Collegium Antropologicum, 26(2), 521-531. Wallace, H.M., Baumeister, R.F., & Vohs, K.D. (2005). Audience support and choking under pressure: A home disadvantage? Journal of Sports Sciences, 23(4), 429-438. Wallace, S., Caudill, S.B., & Mixon Jr., F.G.M. (2013). Homo certus in professional basketball? Empirical evidence from the 2011 NBA Playoffs. Applied Economics Letters, 20, 642-648. Submitted: October 25, 2016 Accepted: May 30, 2017 Published Online First: January 16, 2018 Correspondence to: Nuno Mateus, Ph.D. student Research Center in Sports Sciences, Health Sciences and Human Development, CIDESD, CreativeLab Research Community, Portugal Quinta de Prados, Ap. 202, 5000-911 Vila Real, Portugal Phone: +351 968175576 E-mail: firstname.lastname@example.com Acknowledgement This study was conducted under the Project NanoSTIMA: Macro-to-Nano Human Sensing: Towards Integrated Multi- modal Health Monitoring and Analytics/NORTE-01-0145-FEDER-000016, which is financed by the North Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, and through the European Regional Development Fund (ERDF). 96
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Written Application To apply to Harvard Business School, we ask you to assemble and prepare a variety of materials that will help us assess your qualifications. Remember, all materials must be submitted to HBS online by the application deadlines. The following serves as a preview of what you need to prepare. Transcript s Candidates must have the equivalent of a U.
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March 23
Medicine: Iran's Ministry of Health reported 23,049 cases of coronavirus, including 1,812 deaths. President Hassan Rouhani called on the United States to lift sanctions to help Iran fight the coronavirus outbreak. "American leaders are lying ... If they want to help Iran, all they need to do is to lift sanctions .... Then we can deal with the coronavirus outbreak," he said.
Weather: Heavy rainfall caused flooding in 10 provinces along the Persian Gulf coast to northern Mazandaran and Qom. Water inundated villages and towns, causing 11 deaths, according a spokesman for the Emergency Services Organization of Iran.
March 24
Health/Justice: Iran reported 24,811 cases of coronavirus, including 1,934 deaths. President Rouhani announced that Iran would extend furloughs granted to 85,000 prisoners. The return date for inmates was changed from April 3 to April 19. Iran temporarily freed prisoners to help contain the outbreak in the prison system.
Human Rights/Health: Tehran rejected humanitarian aid, including a 50-bed inflatable hospital and a nine-person emergency team, from Medecins Sans Frontieres (MSF) or Doctors Without Borders. "The Iranian Armed Forces' medical capabilities are entirely at its service, Iran did not need hospitals established by foreigners. [Therefore], the MSF presence in Iran is irrelevant," said Ministry of Health advisor Alireza Vahab zadeh.
According to AFP, Iran has refused assistance from the Nobel Peace prize winner "Doctors Without Borders" (Médecins sans frontières, @MSF) to help combat #COVID2019.— Gross Zacharie (@GrossZacharie) March 25, 2020
MSF had sent two cargo planes to Tehran with material and medical staff.
March 25
Health: Iran's Ministry of Health reported 27,017 cases and 2,077 deaths from coronavirus. Government spokesman Ali Rabiei warned that Iran could face a second wave of coronavirus cases if Iranians did not follow government orders. "Unfortunately some Iranians ignored advice from health ministry officials and travelled during the (Iranian) New Year holidays ... This could cause a second wave of the coronavirus,"
Rabiei said.
Society: President Rouhani announced an inner-city travel ban for the remainder of the Nowruz holiday. "This plan is strict and it will create difficulties and restrictions for travel, and prompt people who have already traveled to return home faster," he said. Rouhani added that all parks would be closed and Sizdah Bedar, an annual nature festival on April 1, "will not be like previous years."
Iran on Thursday announced 157 new deaths from coronavirus, raising the official number of fatalities to 2,234, as it slapped a ban on intercity travel to try to curb the spread.https://t.co/6EfqpwSfs7— Bourse & Bazaar (@BourseBazaar) March 26, 2020


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Is there a way to access WPDM files with out restoring the backup vault?
At my company they created a new WPDM vault before I started and have wiped out all the files and we are slowing building it back up. Now there is files on the old vault that I would like to access and I'm wondering is there a way of accessing those files with out restoring the back up vault or is the only way to access those files is by restoring the vault?


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CMA secured disqualification of 3 former directors of office fit-out companiesChristian Fernsby ▼ | May 11, 2019
The CMA has secured the disqualification of 3 former directors of office fit-out companies for their involvement in illegal cartel behaviour.
Britain Jones Lang LaSalle
Fourfront, Loop, Coriolis, ThirdWay and Oakley were required to pay fines totalling more than £7 million. Jones Lang LaSalle Inc. (JLL) was not required to pay a fine, having brought the conduct to the CMA's attention under the CMA's leniency programme. Each company was found to have participated in "cover bidding" in competitive tenders, colluding on the prices they would bid for contracts.
Mr Robb Simms-Davies, a former director of Bluu Solutions Ltd, Bluuco Ltd and Tetris Projects Ltd, has been disqualified for 5 years.
Mr Trevor Hall, a former director of Cube Interior Solutions Ltd, has been disqualified for 2 years and 6 months, and Mr Oliver James Hammond, a former director of Area Sq. Ltd, has been disqualified for 2 years.
Bluu Solutions Ltd, Bluuco Ltd and Tetris Projects Ltd are part of the JLL group of companies. Bluu Solutions Ltd and Bluuco Ltd were acquired by JLL in 2015. Cube Interior Solutions and Area Sq. Ltd are part of the Fourfront group of companies.
All 3 were directors of their respective companies at the time of the illegal cartel activity and contributed to a number of the competition law breaches. Mr Simms-Davies contributed to 12 breaches affecting contracts with a total value of over £13.5 million. Mr Hall and Mr Hammond each contributed to 2 breaches. In the case of Mr Hammond the affected contracts were worth over £4.3 million. The contracts in the case of Mr Hall had a total value of over £1.2 million.
As a former director within the JLL group, Mr Simms-Davies would have been immune from director disqualification but had his protection withdrawn because he did not submit to a voluntary interview with the CMA. Continuous and complete cooperation with the CMA's investigation is a condition for leniency.
The undertakings disqualify these individuals from acting as directors or being involved in the management of any UK company. The CMA is continuing to investigate whether to seek the disqualification of other individuals in this case. ■


text: As an ex pharmacy tech...amoxicillin is one of the fast movers in the pharmacy it's quite difficult to check it's shelf life but we normally try to keep anti bi for up to one year , 2 years for the most but if it's mixed 10 days .it should be on the shelf OLD ANTIBIOTICS THROW OUT your amoxicillin! For two reasons: ALL antibiotics should be taken until the bottle is empty. To dispose of old pills, DO NOT FLUSH THEM or just throw them out: check with your municipality about local medication disposal so you can keep the chemicals out of the general water supply and/or food chain. If there are some left over, whoever took it 4 years ago, didn't finish it, which can mess up your immune system. Many recycling centers have dedicated collection days. PLUS, if you take it now even if it were good, you won't get the full dose. 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(after watching me endure bad teeth, my youngsters don't have to be told about tooth care, that's for sure! ) Back in 08 (about 3 teeth ago) I filled a scrip for Amoxycillin 500mg. I don't know why but I didn't take the whole course like we're supposed to when taking anti-biotics. If your child has a bacterial infection, their doctor may prescribe amoxicillin. This drug is a prescription antibiotic that's used to treat a range of infections caused by bacteria. We'll cover dosage for amoxicillin in children and discuss the importance of following the dosage instructions from your child's doctor. We'll also describe side effects and warnings for amoxicillin. This information can help you give your child amoxicillin safely. When your child's doctor prescribes amoxicillin for your child, they will tell you the dosage they recommend. 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Photo Credit: Linda Brothers
Collegiate Rugby in the US and Canada are in different places. However, Collegiate Rugby remains the top development pathway for American and Canadian Rugby athletes. In Part 3 I'll attempt to examine the pathway for high school athletes. As mentioned in Part 1, having film is extremely important, if there is no film, there is no ability for you to be evaluated. The athlete is their own salesperson.
I'll focus mainly on the US, but touch on the Canadian Structure as it pertains to Ontario. Due to the number of collegiate programs in BC, the BC Collegiate clubs compete within the BC Senior Rugby club structure. UBC and UVic Currently compete in the BC Premier League.
For players currently in college in the US, there's the competitions governed by USA Rugby (D1AA and D2), D1A, and NSCRO. Currently D1A is the top level of collegiate rugby in the US, but players from NSCRO teams have earned contracts with MLR teams. Jeremy Misailegalu is an example.
U20 Athletes:
Starting at the beginning of your collegiate career, earning solid playing time to get notice for national camps and eventual selection with the U20s programs in the US and Canada. If you're a camp invite, this will get you on the radar of Major League Rugby coaches and GMs. With the restructure of Junior World Trophy qualifying, achieving selection to the U20s is a highly significant development opportunity. 2020 will be the first year of a U20 Americas Rugby Championship, this will give up to 5 match opportunities for the selected collegiate athletes in June 2020. The U20s coach, Scott Bracken is currently taking nominations for the squad, it's important that your college coach is one of your greatest advocates. The process is similar for CAN U20s.
If you're a U20 player that is not selected for the U20s pathway, it is important to continue to seek out further development opportunities with various select sides. Certain MLR teams run Summer U23 Academy Programs. Toronto Arrows, Rugby United New York, and Utah Warriors all have Sub-Academies that meet on a limited basis that provide additional development opportunities for athletes. If you're an athlete in the Southern United States, USA South runs several High Performance programs that will provide high level development opportunities. Finally for U20 players, Summer 7s with Senior Clubs in the US.
U23 Athletes:
Being a multi-year starter with your college program will separate you from the pack. Over 1,000 male rugby players graduate every year from collegiate programs. The next step in the pathway that will provide numerous opportunities for you to be scouted also overlap with the club pathway.
For both US and Canadian University players there has been a showcase event held the last two seasons, this year it came into full fruition with the Canadian University Selects played a curtain raiser against the Collegiate All-Americans. During the All-American Camp, representatives were in attendance all week observing and evaluating the prospects that remained unsigned. This will occur again this coming Summer.
However, what if you're not selected to the All-Canadian University team or College All-American squad, what can you do?
If you're an NSCRO athlete, NSCRO has a regional all-star tournament, in 2020 it will be hosted by the Houston SaberCats.
Every Summer once collegiate and university terms are over, American players are able to play Summer 7s with Senior Clubs. In Canada, student-athletes are able to play immediately during the Summer with Senior Clubs. This is highly encouraged. In addition to this, student-athletes are also eligible to play for their provincial teams.
For the non-Canadians there are additional identification pathways that have been used to sign players. As mentioned in Part 1, the USA South Panthers provide a great development environment as they compete in the Rugby Americas North Championships. In addition to the USA South Panthers; Capital Rugby Union Selects Performance Program does a tour usually every winter, they're now sponsored by Old Glory DC.
Now linking in with MLR Specific pathways for Collegiate and U23 pathways. Slowly but surely most MLR teams will have a U23 Sub-Academy that is fed mostly by Collegiate players, but they will be open to club players if you're not in the collegiate system. During the summer of 2018 Austin Herd held a U23 Academy, they played various club sides. During the following winter, they also executed various training weekends.
In 2019, the following teams had some type of in house U23 Academy Programs
Colorado Raptors- Resident Academy
Utah Warriors- Sub Academy (Warriors Selects)
Rugby United New York- Sub-Academy
Rugby ATL- 404 Rugby
San Diego Legion - OMBAC and MiraCosta College Partners
In 2020, the Toronto Arrows Sub-Academy Program will launch with multiple training sites throughout Ontario.
The most mature pathway of them all has been the Raptors which have run their Academy program since Season 1 and have graduated several players onto MLR programs. However, I would stress that the path to professionalism is arduous and that completing a 4-year education or trade-program should be paramount in the minds college athletes and their parents when assessing the leap and pathway to an MLR team.
In Part 1 I discussed the Senior Player Pathway, in Part 3 we will attempt to navigate the rocky waters of the pathway starting at the High School level.
~Aaron Castro


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What is the current situation in the Caerphilly County Borough?
The situation in our county borough, region and nationally remains precarious. We have seen an increase in the number of positive coronavirus cases over recent weeks and our current level is 95.5 cases per 100,000 population. This compares to two weeks ago when we were at a much lower level of 50.3 cases per 100,000. We have prepared a 'heat map' to help clearly show the spread of cases across the county borough.
Why are the numbers rising?
The spread of a virus such as Covid-19 is complex and based on many different variables. The R number in Wales is estimated to be at around 1.37. We have seen a number of distinct 'clusters' in certain parts of the county borough (eg Aber Valley), but most of the cases are down to spread within the community.
The only way we can tackle the virus is to follow the advice (hands, face and space) and adhere to the restrictions that are in place to protect our whole community. The map shows the spread of the virus is across most of the county borough, so a hyper-local lockdown approach is not an appropriate response at this time. There have been around 127 cases in the county borough over the past 7 days and this map shows the distribution of cases across the area.
Where is our 'Exit Strategy'
Two weeks ago, when our figures were looking positive, we started to have discussions with Welsh Government to consider our next steps in terms of an 'exit strategy'.
These discussions are ongoing, but the deteriorating picture locally and nationally, in terms of our rising infection rates means that, unfortunately, we are unable to proceed with the phased lifting of our restrictions as quickly as we were hoping to.
Our exit strategy consists of a number of variables, all of which need to be finely balanced. One of the main requirements of our strategy, is that we must be able to demonstrate a consistent pattern of reduction in the number of cases over a period of time. Clearly, we are not able to meet this requirement at this time. Any plans we make to relax local restrictions must also be considered against the regional and national picture.
As you would have seen in recent media reports, the numbers of cases is increasing nationally and the First Minister only yesterday announced that "we were at an important tipping point" across Wales. Please be assured, that as soon as the conditions allow, we will provide further information about our plans, but hopefully you can appreciate that now is not the right time.
What happens next?
We will continue to review the position with Welsh Government and other key public health agencies on a weekly basis. Our next review is due on Thursday of this week and we will provide details about the outcome of the review in our usual update from the Leader and the Chief Executive. In the meantime, we must all continue to think about our own actions and the impact that they have upon the safety of ourselves and others.
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Anouk Grinberg
Daily updated news, gossip, rumors, pictures, videos and more about Anouk Grinberg.
Anouk Grinberg
57-year-old actress
Anouk Grinberg is a 57-year-old French actress, best known for her roles in My Man, 1, 2, 3, Sun or Merci la vie.
Quick Facts
Selected Filmography
- 1996: A Self-Made Hero (Jacques Audiard): Servane
- 1996: My Man (Bertrand Blier): Marie Abarth
- 1993: 1, 2, 3, Sun (Bertrand Blier): Victorine
- 1991: Merci la vie (Bertrand Blier): Joëlle
The latestnews
- Anouk GrinbergAMP™, | French star Anouk Grinberg is reportedly set to play the Bond girl in the next edition of "James Bond" franchise. The Internet is buzzing with rumors that the 57-year-old actress could be cast as the female lead opposite Daniel Craig.
- Anouk GrinbergAMP™, | Earlier this week news reports surfaced that Anouk Grinberg, 57, and her partner had split up. Is the French actress really single again?
- Anouk GrinbergAMP™, | Anouk Grinberg, 57, has been dubbed "the Sexiest Actress Alive" by Glamour's magazine in its December 2020 issue out this week. For the second year in a row, our gorgeous hottie beat out some other equally hot women for the number one spot!
- Anouk GrinbergAMP™, | Anouk Grinberg's adored labrador retriever "Spinee" has undergone a risky surgery on Tuesday and is luckily beginning the slow process of recovery. The 57-year-old actress has received waves and waves and support for Spinee, as she offered her Twitter followers an update on pooch's status regularly.
- Anouk GrinbergAMP™, | According to a well-placed source, Anouk Grinberg is leading the race to become Time magazine's Person of the Year in 2020. But while the actress' fans are thrilled with the news, many people hold a very different opinion.
- Anouk GrinbergAMP™, | On Tuesday morning the Sun-Times reported the 57-year-old actress Anouk Grinberg and her boyfriend, to be shopping for engagement rings. Naturally, the article sent the Facebook and Twitter into a frenzy.
- Anouk GrinbergAMP™, | Anouk Grinberg has reportedly become the latest celebrity to fall victim to apparent leaked nude photos scandal. Highly personal and private photographs from her mobile phone were posted on several celebrity gossip websites yesterday.
- Anouk GrinbergAMP™, | Reports from the Daily News yesterday (December 2, 2020), suggest the 57-year-old actress has secretly got hitched to her long-term relationship. Sorry guys, Anouk Grinberg seems to be off the market.
- Anouk GrinbergAMP™, | Speculation is rampant that Anouk Grinberg is expecting a baby after she was spotted with a prominent stomach bulge on Wednesday evening, during romantic dinner date. Is the 57-year-old actress about to be a mom to a little boy or girl?
- Anouk GrinbergAMP™, | It's been a rough year for the actress, but at least she has her millions of dollars to ease the pain. 57-year-old Anouk Grinberg has taken the No. 1 spot on People With Money's highest-paid celebrity list for 2020.
- Anouk GrinbergAMP™, | Anouk Grinberg was reported as dead earlier this week, causing concern among fans across the world. However, the December 2020 news has now been confirmed as a complete hoax and just the latest in a string of fake celebrity death reports.
- Anouk GrinbergAMP™, | The 57-year-old actress is said to have been secretly practising 'Gangnam Style' steps, after singer PSY has invited her to join in the famous dance earlier this year.
- Anouk GrinbergAMP™, | According to the latest Watch and Listen magazine poll just out yesterday (Wednesday, December 2), 'Merci la vie' is now considered to be the Greatest Film in the History of Cinema.
- Anouk GrinbergAMP™, | Sad news for Grinberg fans as speculation had been rife that the French actress will announce her retirement from acting, at age 57, with immediate effect.


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Global Market Insights Inc., a global market research and consulting service provider, projected that the Legal Process Outsourcing (LPO) market is set to exceed the USD40bn target by 2024 due to the increasing requirement for efficient legal departments to manage process-oriented and high volume legal work. Rapid increase in the cost of legal proceedings has led the companies to outsource these services with cost-efficiency as one of the major factors benefiting the LPO market landscape. Technological advancements using artificial intelligence have also contributed toward the significant revenue growth in the LPO market.
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Although getting out of the house and away from your kids is one of the best parts of going to the gym, wouldn't it be nice if you could work out from home? With a home gym, you can create the perfect space to work out that's in loaded with all of your favorite weight-room equipment.
Weight-Room Equipment
The kinds of workouts you like to do will ultimately determine what kinds of equipment that you want. If you like to do a lot of weight lifting, then you will not only want a combination of free weights, but you will also want a bench press. If you don't plan on working out with anyone, then getting a bench press that doesn't require any help is a must so that you don't get injured.
If you like to do more cardio work, then you should get some equipment like a treadmill, a stationary bike, or an elliptical machine.
Having mirrors in your weight room isn't just an excuse for you to check yourself out while you're working out, but it can actually prevent you from injuring yourself, especially when you are doing weights. When you are able to watch your form, you are less likely to hurt your back or pull a muscle. When choosing mirrors, just make sure that they extend from the floor to the ceiling so that you can see your entire body.
Weight Room Rubber Flooring
Weight room rubber flooring is also something that you should invest in because it will allow you to drop heavy weights on the floor without causing any damage. Also, if you are doing exercises where you do a lot of jumping up and down, then the extra cushion will help to protect your joints so that you don't sustain injuries as easily. The great thing about weight-room rubber flooring is that you can get them in tile form, which makes them easy to install on your own and makes them a more affordable option.
Having a space to work out in when you are at home is a luxury that not a lot of people have, but it doesn't have to be hard to make on your own. As long as you invest in weight-room equipment and you have the right space, you should be good to go. To learn more, reach out to a company near you that sells this type of equipment.Share


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Program Description
Advance your knowledge of GIS technology and tools that are applicable to a broad range of research fields and professional areas. Courses are offered in the evenings, on the weekend, and online, making the program accessible to working professionals.
GIS Certificate
GIS tools and data help researchers, policy-makers, and community members visualize, explore, and interpret information across space to understand spatial relationships, patterns, and trends. Demand for GIS skills is growing across many industries and disciplines.
Tufts Geographic Information Science certificate focuses on the principals of GIS, spatial analysis, spatial data management, and cartographic design. The GIS certificate will help you prepare for a career in GIS technology in a variety of professional industries or research domains including environmental studies, urban studies, public health, and more.
The certificate can be completed in 3 to 4 semesters and courses are offered in a flexible format, including in the evenings, weekends, and online.
As a student in the program, you'll also have access to Tufts' Data Labs, full-service computing labs dedicated to geospatial technology, statistics, and data science which serve as a hub for GIS activities at Tufts and are designed to foster collaboration and innovation.
The certificate requires twelve credits. Most courses are three credits.
Two required courses (6 credits)
- Introduction to GIS or approved Intro to GIS course equivalent
- Advanced Spatial Modeling
Two electives from the following:
- Intro to Remote Sensing
- Spatial Statistics
- Interactive Web Mapping
- One graduate-level statistical or quantitative methods course
- Thesis or capstone with core spatial methods pending approval of GIS certificate coordinator
- Other courses may be approved by the coordinator if they have a core spatial component
Application Requirements
- Application Fee
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- Official TOEFL or IELTS, if applicable
- Transcripts
- One Letter of Recommendation
About the School
Graduate programs at Tufts University's Graduate School of Arts combine the atmosphere of a liberal arts college with the state-of-the-art technological resources of a research institution. World-clas ... Read More


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Mumbai: Flat buyer caught in builder-broker dispute
Had bought flat in high-rise that he later discovered had already been sold to investor; both builder and broker are blaming each other
A 68-year-old Kurla resident got the shock of his life on Friday after a flat he had bought in a Vikhroli high-rise received attachment orders by MahaRERA over a disputed deal between the builder and broker. Mohammed Sharif Dalvi had booked two flats (1704 and 1705) on the 17th floor of a 19-storey under-construction building, Lareina Residency, through Sai Estate Consultants, Chembur.
However, after paying for both flats, Dalvi was able to register only one flat, 1704, and could not get an agreement for no. 1705. When he asked why, he was told that the developer had already sold the flat to an investor. Dalvi challenged the matter in MahaRERA, where S S V Developers and Builders dragged Sai Estate Consultant into it, saying they took a brokerage of 14 per cent (Rs 14 lakh) and were hence liable for the blunder.
The complaint
Dalvi, in his complaint, said he had bought the two flats through the real estate consultants at R1 crore each and had paid Rs 65 lakh towards flat no 1705 to the developer. However, it was later learnt that the flat was booked by one Kalpesh Shah and he had not cancelled the allotment, thereby causing monetary loss to Dalvi.
Blame game begin
In their response (copy with this paper), the developer said the booking of flat no 1705 by the estate consultant was not done in their presence. The developer claimed that they had sent the inventory of unsold flats, wherein they specifically mentioned that flat 1705 was for re-sale.
The developer in his plea, claims that they had asked the estate consultant to book at the rate of R1,700 per sq feet plus additional cost of Rs 3 lakh for terrace construction cost, including GST. However, the estate consultant reduced the rate for Dalvi by R2,000 per sq feet and agreed to waive off terrace cost, GST, stamp duty and registration charges. Therefore, the developer made the consultants party to the issue.
Sai Estate Consultants say
In their reply, the estate consultants stated that the developer engaged their services for selling unsold flats in the said project and that the complainant had paid the money towards 1705 straight to the developer.
MahaRERA observation
B D Kapdnis, Member and Adjudicating Officer, MahaRERA, Mumbai, said there was no dispute between the respondents and that the complainant approached the estate consultants and booked the flat. Also, the complaint purely refers to flat no 1705, as the amount of first purchaser (Kamlesh Shah) is yet to be paid by the developer and the agreement for sale executed in his (Shah's) favour has been cancelled.
Also, the developers refer to Saidham SRA Sahakari Griha Nirman Sanstha (Ltd) v/s SS Developers wherein the an Appellate Tribunal has restrained the said developer from creating a third party interest in respect of the said project. Hence, the developer has shown inability in executing the agreement for sale of flat no 1705 in the complainant's favour.
Kapadnis in his order had observed that the developer is bound by the acts or omission of the estate consultants. The developer has also contended that the estate consultants have played mischief and they are ready to execute the agreement for another flat no 1905 instead of 1705, and as the developers are not able to sell flat no 1705, the complainant is entitled to get back his money back with interest of 10.5 per cent. Also, the developer is directed to pay R20,000 towards the cost of complaint.
Complainant's lawyer speaks
Advocate Godfrey Pimenta moved an execution proceeding on behalf of Dalvi, as the developer and broker had failed to implement the September 14, 2018, order passed by MahaRERA (an appeal is allowed within 60 days from date of order) which expired on November 13. Pimenta said, "On December 28, the matter was heard, wherein B D Kapadnis passed an order for attachment of the property of the builder to the extent of Rs 73 lakhs, including interest."
When asked if disputed flat no 1705 will be attached, Pimenta said it as unlikely as it was already sold to an investor and the flat allotment was still not cancelled by the developer. However other unsold flats in the bldg or any other property belonging to the builder can be attached by the Collector.
The other side
Hemant Parikh, a director, SSV Developers and Builders
"We can take suitable steps against Sai Estate Consultant to indemnify ourselves under law. We are filing an appeal against the RERA order at the tribunal and if necessary at any other appropriate judiciary forum. We have already filed a police complaint against Sai Estate."
Sai Estate Consultants
When contacted, Advocate Dr Sanjay Chaturvedi, who represented Sai Consultants, said, "My client's role was only confined to brokerage as per the understanding between the developer and my client. Moreover, the customer had paid the money for the disputed flat 1705 to the developer directly. Therefore, MahaRERA has clearly stated that the developer is responsible to repay the complainant's entire amount with interest, setting aside the developer's plea to recover the money from my client, too."
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Our fully owned factory, DongGuan Gang Mei Optical Limited, located in DongGuan, GuangDong with area of 5000sqm.
Production team is composed by 64 employees plus 200 workers. Our average monthly output over 300,000 pieces of sunglasses and optical frames.
Concerning the facility expansion, we are planning to renovate our facility by mechanize our production workshops, meanwhile, to expand the dormitory area with agriculture zones.
Our facility complies to several global audit requirements.


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We have engineered a durable, convenient option for rotisserie chicken. Taking up minimal space, ROTO-Q 360 self-rotating, automating the entire rotisserie process so that all you need to do is set it up, turn it on, and let it do its job. ROTO-Q 360 does not need any power, gas, or fuel to run, so you never need to worry about keeping any tanks filled or charged either. This is the ultimate in rotisserie convenience – putting healthy deliciousness always within your reach. You can enjoy rotisserie all day long if you want to, and if you are thinking about trying out a new, healthy diet, it may just be the right way to do so!
Rotisserie Cuisine Anytime You Want It
With today's busy lifestyles, people are always looking for ways to cook healthy and delicious meals as efficiently and conveniently as possible. Well, look no further- The ROTO-Q 360 is the solution you've been looking for.
Fits into Your OVEN - "Everyone owns an oven!"
Breathe new life into your cooking appliances and start producing 5-star quality, rotisserie-style fare in your very own home with the ROTO-Q 360.
The ROTO-Q 360 has been engineered to fit into any home. If you own an oven – and everyone owns an oven – you can put ROTO-Q 360 into your kitchen. This is a portable device that you can set up as you need it, even carting it off somewhere else for the night.
The ROTO-Q 360 is a Money-saving Appliance
The ROTO-Q 360 has achieved perfection in cooking the rotisserie cousins while cutting down cooking time by as much as 30%. Since the ROTO-Q 360 brings down the cooking time, energy expenditure is also less which in turn saves your money. Plus, as the ROTO-Q 360 can do all the work, you don't have to pay for other machines that may make your beautiful kitchen counter look crowded. Thus, you save money again.
Traditional methods of rotisserie cooking require industrial-style appliances with electric driven motors. These devices are much more expensive (ranging from $250-$600) also not portable and take up a large amount of space in your kitchen not to mention the loud noise created from the fan and motors making cooking experience unpleasant.
Furthermore, cooking chicken in a crockpot or tray by roasting or baking takes a long time to prep 5-6 hours, and sometimes leaves it uncooked or soggy from the bottom side. ROTO-Q 360 will never cause this problem because it cooks the food from all sides through its 360 degrees rotating mechanism. So there is no need for adjusting, stirring or flipping in the middle of cooking, and no more rubbing more butter or oil. A rotisserie chicken is likely to be moisture than one that has simply been roasted in the oven.
- Non-electric design
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- Indoor / Outdoor
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Non-Electric Design
Utilizing a gearbox that stores kinetic energy when the knob of the device is turned, the ROTO-Q 360 does not require any additional electricity or fuel to operate. The cooking time can be set by manually turning the knob a specified number of rotations, to achieve the optimal cooking time for a wide array of food items.
Healthier Choice - 90% less fat
As the food turns, unwanted fats and grease drip down into the drip tray for healthier results, now you can make golden-brown tender-crisp chicken wings and french fries. meanwhile keeping the finger-licking taste and texture of deep-fried cooking with less fat than traditional methods.
Easy to Clean - Dishwasher Safe
Completely non-electric, ROTO-Q 360 could not be any easier to clean. The components pull apart for simple rinsing, cutting down drastically on the clean-up time after every meal. Much easier to clean than a traditional rotisserie machine.
Easy Store - Space Saver
ROTO-Q 360 is also easy to store – even if your storage space is exceptionally limited. The ROTO-Q 360 is a portable device that you can set up as needed, even for chefs on the go. It folds down into a size that will fit into any kitchen drawer as well, and it will not take up counter space, unlike other bulky food machines.
Durable Versatile
ROTO-Q 360 is made with durable materials so that you can count on it for the long term.
The ROTO-Q 360 can be used for more than just chicken, It is also suitable for preparing fish, poultry, meat, vegetables, potatoes, fries, and much more. Using our optional attachments, you can theoretically cook an entire meal for yourself on one rotisserie machine.
Indoor / Outdoor - Enjoy rotisserie on to go
Simply place ROTO-Q 360 on indoor/outdoor grill or fire pit as a heating source and let the magic of the ROTO-Q 360 rotisserie do the rest. While your food is being cooked, the ROTO-Q 360 will continuously rotate to ensure that your food is evenly cooked throughout. The result is tender, juicy, restaurant-quality, rotisserie-style cuisine.
ROTO-Q 360 self-rotates, automating the entire rotisserie process so that all you need to do is set it up, turn it on, and let it do its job. ROTO-Q 360 does not need any power, gas, or fuel to run making it the ultimate in rotisserie convenience – putting healthy delicious cuisine always within your reach.
The entire unit weighs in just 5.5 lbs (2.5 kg), the super-portable size ROTO-Q 360 could easily fit in any backpack making it a perfect companion for hikers, campers, outdoor enthusiasts to carry around. The compact design of the ROTO-Q 360, makes it convenient to transport the device and attach it to Gas/Charcoal grills, fire pits, etc. for use while traveling, camping, or tailgating. BBQ's no longer have to consist of just hamburgers and hot dogs, now you can add rotisserie-style chicken, beef, ribs and more to your family gatherings and game day menus.
The ROTO-Q 360 can cook various types of meat, fish and poultry (up to 5 lbs.) in 60 mins. or less. Additionally, by utilizing one of the many accessory attachments available for the device, you can further utilize your ROTO-Q 360 to cook other non-meat food items, such as potatoes, fries, and roasted vegetables (accessory attachments sold separately).
Roto-Q 360 Setup
Rotisserie in action: speed up 8x
Invented by Susie Wen, the ROTO-Q 360 is the product of years of ingenuity and innovation. Wen, the creative and innovative mastermind behind popular household appliances like the Jack LaLanne's Power Juicer, Montel Williams Health Master Elite, and Power Cooker, has helped design, develop, and manufacture machines and appliances in tens of millions units to consumers around the globe.
This project is promoted by Jellop, the ad tech power behind the best Kickstarters with 1,100+ successful Kickstarter projects with over $460M raised between them.
Risks and challenges
We understand that we need to get the ROTO-Q 360 to launch correctly. Nothing but the strictest production standards will do. For this reason, we are proceeding diligently. This means that our timeline may be a little bit longer, but when all is said and done, we will deliver a product that people will appreciate. If we run into any logistical issues, we will figure out a way forward, sending out regular updates to all our contributors regarding the progress that we are making.Learn about accountability on Kickstarter
Environmental commitmentsVisit our Environmental Resources Center to learn how Kickstarter encourages sustainable practices.
Long-lasting design
Be sure that we'll stand behind our product, thats why we offered a life time warranty to all our backs who is putting their trust in us.
Reusability and recyclability
We know plastic is the necessary evil in the modern human civilization. One of the most harmful byproduct of the black gold to our environment. Thats why from the get, our team's goal is to eliminate the using of plastic on our product, we've came a long way since we've chosen to do it in a harder way. All components in ROTO-Q 360 are high-graded metal. We're very proud to say that everything down to a tiny screw are 100% recyclable. Simply because we cared.
Sustainable materials
All components in ROTO-Q 360 are high-graded metal stainless steel / aluminum / metallurgy