Sizing for the apparel industry using statistical analysis - a Brazilian case study

The study of the body measurements of Brazilian women used the Kinect Body Imaging system for 3D body scanning. The result of the study aims to meet the needs of the apparel industry for accurate measurements. Data was statistically treated using the IBM SPSS 23 system, with 95% confidence (P 0,58) and from the Hip-to-Height Ratio - HHR (bottom portion): Small (HHR 0,68).This work is financed by FEDER funds through the Competitive Factors Operational Program (COMPETE) POCI-01-0145-FEDER-007136 and by national funds through FCT-Portuguese Foundation for Science and Technology, under the project UID/CTM/000264.info:eu-repo/semantics/publishedVersio

Summer Workshop on Near-Earth Resources

The possible large scale use of extraterrestrial resources was addressed, either to construct structures in space or to return to Earth as supplements for terrestrial resources. To that end, various specific recommendations were made by the participants in the summer study on near-Earth resources, held at La Jolla, California, 6 to 13 August, 1977. The Moon and Earth-approaching asteroids were considered. Summaries are included of what is known about their compositions and what needs to be learned, along with recommendations for missions designed to provide the needed data. Tentative schedules for these projects are also offered

Did the Reduction of ICT Investment due to the 2008 Economic Crisis Affect the Innovation Performance of Firms? - An Exploratory Analysis Based on Firm Data for the European Glass, Ceramics and Cement Industry

In this paper we investigate, first, the characteristics of the firms that reduced their ICT investment due to the 2008 crisis, focusing on the firms’ ICT characteristics in terms of the ICT, budget, skills and applications used. The analysis of the ICT characteristics that may influence the likelihood of having reduced ICT investment as a consequence of the crisis is primarily explorative, thus driven by available data and economic intuition. The second research question we examine empirically refers to the possibility that an economic crisis could affect innovation performance through the ICT investment channel. In connection with this, it is also interesting to analyze the ICT characteristics that are associated with ICT-enabled innovation performance; this is the third research question of this paper. Our study is based on firm data from the glass/ceramics/cement industry in six European countries, which have been collected through the ‘e-Business Survey’ of the European Union. We find that ICT-related crisis vulnerability correlates positively with decreasing ICT budgets (pro-cyclical investment behaviour), the existence of skill deficits in ICT, the awareness of and interest in new ICT applications that presumably request much additional ICT investment, the exposure to strong price competition and the strong presence in international markets, in which activities have significantly decreased due to the crisis. Further, statistically significant negative relationship between ICT-enabled product innovation and crisis vulnerability (pro-cyclical behaviour) is found only for new products or services that contain ICT components, and are therefore directly affected by crisis-related decreasing product demand

Discriminant Canonical Tool for Differential Biometric Characterization of Multivariety Endangered Hen Breeds

This study aimed to develop a tool to perform the morphological characterization of Sureña and Utrerana breeds, two endangered autochthonous breeds ascribed to the Mediterranean trunk of Spanish autochthonous hens and their varieties (n = 608; 473 females and 135 males). Kruskal–Wallis H test reported sex dimorphism pieces of evidence (p 5 variables were discarded) white nails, ocular ratio, and back length (Wilks’ lambda values of 0.191, 0.357, and 0.429, respectively) to have the highest discriminant power in female morphological characterization. For males, ocular ratio and black/corneous and white beak colors (Wilks’ lambda values of 0.180, 0.210, and 0.349, respectively) displayed the greatest discriminant potential. The first two functions explained around 90% intergroup variability. A stepwise discriminant canonical analysis (DCA) was used to determine genotype clustering patterns. Interbreed and varieties proximity was evaluated through Mahalanobis distances. Despite the adaptability capacity to alternative production systems ascribed to both avian breeds, Sureña and Utrerana morphologically differ. Breed dimorphism may evidence differential adaptability mechanisms linked to their aptitude (dual purpose/egg production). The present tool may serve as a model for the first stages of breed protection to be applicable in other endangered avian breeds worldwide

Stated interest, actual use or indifference towards car sharing: profiling students and staff of a university campus in Turin (Italy)

A mobility survey was proposed to the staff and to the students of Politecnico di Torino (a technical university located in Turin, Italy) in autumn 2016 with a focus on the interest and on the current use of car sharing. Turin is in fact offering a relatively broad variety of such services, with several different operators and a fleet of about 700 vehicles. A data mining technique, named co-clustering, is then applied to the dataset of 1314 answers in order to characterise respondents’ profiles and assess to which extent specific combinations of variables describing personal, travel-related or satisfaction with travel aspects are associated with the actual use, the interest or the lack of interest in car sharing. Early adopters of car sharing are more frequently encountered among students than among staff and show more multimodal behaviours. The levels of use of different modes can be helpful in discriminating between mere positive attitudes towards car sharing and actual intention to use it, while travel related satisfaction ratings are rather indicating the interest or lack of interest in this service. Among university workers, younger females living in the outer part of the metropolitan city showed a good interest in car sharing, although the service is not available in the place where they live. Policy implications of such findings within a mobility management perspective are discussed

ASA 2021 Statistics and Information Systems for Policy Evaluation

This book includes 40 peer-reviewed short papers submitted to the Scientific Conference titled Statistics and Information Systems for Policy Evaluation, aimed at promoting new statistical methods and applications for the evaluation of policies and organized by the Association for Applied Statistics (ASA) and the Dept. of Statistics, Computer Science, Applications DiSIA “G. Parenti” of the University of Florence, jointly with the partners AICQ (Italian Association for Quality Culture), AICQ-CN (Italian Association for Quality Culture North and Centre of Italy), AISS (Italian Academy for Six Sigma), ASSIRM (Italian Association for Marketing, Social and Opinion Research), Comune di Firenze, the SIS – Italian Statistical Society, Regione Toscana and Valmon – Evaluation & Monitoring

Simplifying External Load Data in NCAA Division-I Men\u27s Basketball Competitions: A Principal Component Analysis

The primary purpose was to simplify external load data obtained during Division-I (DI) basketball competitions via principal component analysis (PCA). A secondary purpose was to determine if the PCA results were sensitive to load demands of different positional groups (POS). Data comprised 229 observations obtained from 10 men\u27s basketball athletes participating in NCAA DI competitions. Each athlete donned an inertial measurement unit that was affixed to the same location on their shorts prior to competition. The PCA revealed two factors that possessed eigenvalues \u3e1.0 and explained 81.42% of the total variance. The first factor comprised total decelerations (totDEC, 0.94), average speed (avgSPD, 0.90), total accelerations (totACC, 0.85), total mechanical load (totMECH, 0.84), and total jump load (totJUMP, 0.78). Maximum speed (maxSPD, 0.94) was the lone contributor to the second factor. Based on the PCA, external load variables were included in a multinomial logistic regression that predicted POS (Overall model, p \u3c 0.0001; AUCcenters = 0.93, AUCguards = 0.88, AUCforwards = 0.80), but only maxSPD, totDEC, totJUMP, and totMECH were significant contributors to the model\u27s success (p \u3c 0.0001 for each). Even with the high significance, the model still had some issues differentiating between guards and forwards, as in-game demands often overlap between the two positions. Nevertheless, the PCA was effective at simplifying a large external load dataset collected on NCAA DI men\u27s basketball athletes. These data revealed that maxSPD, totDEC, totJUMP, and totMECH were the most sensitive to positional differences during competitions. To best characterize competition demands, such variables may be used to individualize training and recovery regimens most effectively

An optimal power flow solution to deregulated electricity power market using meta-heuristic algorithms considering load congestion environment

In this article, the Improved Mayfly Algorithm (IMA) is used as an upgraded form of the Mayfly Algorithm (MA), featuring simulated binary crossover and polynomial mutation operators replacing the arithmetic crossover and standard distribution mutation operators of the MA. With MA, IMA's achievements and significance are acknowledged. The algorithms achieve a final best solution for the investigated objective functions of the optimal power flow problem in a deregulated electrical power market under different load conditions. The overall load of the power system varies between half of the base load (-50%) and twice the base load (+100%). The investigated objective functions are associated with the financial worth of generators, dissipation of active power in transmission lines, variation of voltage magnitudes at the system bus, and voltage stability index at the load bus of the power system networks. The result achieved by GA, PSO, MA and IMA are attained using the IEEE-30 bus test system in a deregulated power system. Investigations are conducted on the best solutions for each objective function; offers of generators and bids of loads; generator sales and load purchases; and system revenues associated with different load scenarios. The simulated outcomes have confirmed that IMA would triumph over GA, PSO and MA