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Predicting consumers' garment fit satisfactions by using machine learning
The objectives of this study were to apply alternative machine learning (ML) algorithms to predict consumers' garment fit satisfactions (real fit satisfaction [RFS]) and compare the efficiencies of these algorithms to predict RFS. Skirts made from different fabrics were used as test garments. Mechanical properties of the skirts' fabrics were assigned as predictor variables to estimate RFS. Study participants' virtual body models were created by using 3D body scanner and used for virtual fitting. Each participant physically tried on the skirts and evaluated the fit. Participants also viewed the skirt simulations on their avatars and evaluated the virtual fit, which represented participants' virtual fit satisfactions (VFS). Random Forest (RF), support vector machine (SVM), and conditional tree (CT) algorithms were used to learn from the data to predict participants' RFSs. The mean correlations between the predicted and observed RFS values in the validation sets were 0.74 (RF), 0.70 (SVM-linear kernel), 0.72 (SVM-radial kernel), and 0.55 (CT). According to the variable importance analysis, VFS had the highest importance among 35 predictor variables. ML is used mostly for sales forecasting and manufacturing purposes in the fashion industry. However, garment fit, which restrains consumers from shopping online, did not get enough attention in ML studies. Besides, the ML algorithms used in fashion and apparel studies are often genetic algorithms and neural networks; therefore, there is a need to test other algorithm types. In this study, we offered alternative ML algorithms (i.e., RF, SVM, and CT) to predict consumers' garment fit satisfactions
Match-Level Uncertainty in Professional Tennis Revisited-A Novel Approach Applied for the Time Between 2010 and 2019
Despite its popularity, outcome uncertainty in professional tennis did not receive much attention from academics in the recent past. This is astonishing because it should be of utmost importance in professional tennis in the following years with the approaching end of the era of the Big 3. This study investigates match-level uncertainty in professional women's and men's tennis between 2010 and 2019 using a logit model with a dataset consisting of 51,054 matches. In the different analyses, the variations in the ranking and quality differences between players are taken into account in addition to differences across surfaces, tournaments, and genders. In the investigated period, women's tennis has relatively higher outcome uncertainty when compared to men's. The results also illustrate that talent seems to be distributed more evenly in women's tennis, whereas men's tennis has high heterogeneity in terms of talent. Moreover, very specific subgroups of matches having the highest and lowest uncertainty in men's and women's tennis are identified. Managerial implications are also presented to show how organizers, policy makers and, eventually, fans can benefit from the insights presented in this study.Interne Fondsen KULeuven/Internal Funds KU LeuvenThe author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was partially funded by Interne Fondsen KULeuven/Internal Funds KU Leuven
Study of High-Transverse-Momentum Higgs Boson Production in Association with a Vector Boson in the qqbb Final State with the ATLAS Detector
This Letter presents the first study of Higgs boson production in association with a vector boson (V ¼ W or Z) in the fully hadronic qqbb final state using data recorded by the ATLAS detector at the LHC in proton-proton collisions at ?s = 13 TeV and corresponding to an integrated luminosity of 137 fb?1. The vector bosons and Higgs bosons are each reconstructed as large-radius jets and tagged using jet substructure techniques. Dedicated tagging algorithms exploiting b-tagging properties are used to identify jets consistent with Higgs bosons decaying into bb?. Dominant backgrounds from multijet production are determined directly from the data, and a likelihood fit to the jet mass distribution of Higgs boson candidates is used to extract the number of signal events. The VH production cross section is measured inclusively and differentially in several ranges of Higgs boson transverse momentum: 250–450, 450–650, and greater than 650 GeV. The inclusive signal yield relative to the standard model expectation is observed to be ? = 1.4+1.0?0.9 and the corresponding cross section is 3.1 ± 1.3(stat)+1.8?1.4(syst) pb. © 2024 CERN, for the ATLAS Collaboration.Agence Nationale de la Recherche, ANR; Australian Research Council, ARC; Centre National pour la Recherche Scientifique et Technique, CNRST; Fundação para a Ciência e a Tecnologia, FCT; Cooperative Research Centres, Australian Government Department of Industry, CRCs; Narodowe Centrum Nauki, NCN; National Science Foundation, NSF; Science and Technology Facilities Council, STFC; H2020 Marie Sk?odowska-Curie Actions, MSCA; Japan Society for the Promotion of Science, JSPS; Nederlandse Organisatie voor Wetenschappelijk Onderzoek, NWO; Ministerio de Ciencia e Innovación, MCIN; Ministry of Science and Technology, Taiwan, MOST; Israel Science Foundation, ISF; Leverhulme Trust; Staatssekretariat für Bildung, Forschung und Innovation, SBFI; Javna Agencija za Raziskovalno Dejavnost RS, ARRS; Generalitat de Catalunya; Instituto Nazionale di Fisica Nucleare, INFN; Bundesministerium für Wissenschaft, Forschung und Wirtschaft, BMWFW; Austrian Science Fund, FWF; Narodowa Agencja Wymiany Akademickiej, NAWA; Agencia Nacional de Investigación y Desarrollo, ANID; Bundesministerium für Bildung und Forschung, BMBF; Canada Foundation for Innovation, CFI; Helmholtz-Gemeinschaft, HGF; Danmarks Grundforskningsfond, DNRF; Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq; Karlsruhe Institute of Technology, KIT; Canarie; Göran Gustafssons Stiftelser; Deutsche Forschungsgemeinschaft, DFG; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja, MPNTR; U.S. Department of Energy, USDOE; European Cooperation in Science and Technology, COST; Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP; Institutul de Fizic? Atomic?, IFA; Natural Sciences and Engineering Research Council of Canada, NSERC; Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science; Irish Rugby Football Union, IRFU; Chinese Academy of Sciences, CAS; Defence Science Institute, DSI; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF; Agencia Nacional de Promoción Científica y Tecnológica, ANPCyT; Minerva Foundation; European Research Council, ERC; National Research Foundation, NRF; Royal Society of South Australia, RSSA; European Regional Development Fund, ERDF; CERN; Ministerstvo Školství, Mláde?e a T?lov?chovy, MŠMT; National Research Council Canada, NRC; Brookhaven National Laboratory, BNL; Alexander von Humboldt-Stiftung, AvH; Multiple Sclerosis Scientific Research Foundation, MSSRF; British Columbia Knowledge Development Fund, BCKDF; Ministry of Education, Culture, Sports, Science and Technology, MEXT; National Natural Science Foundation of China, NSFC; IN2P3-CNRS; CCIN2P3; 21/SCI/017, UNCE SCI/ 013; SCI/013; 2014-2021We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; CNPq and FAPESP, Brazil; NSERC, NRC, and CFI, Canada; CERN; ANID, Chile; CAS, MOST, and NSFC, China; Minciencias, Colombia; MEYS CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF, and MPG, Germany; GSRI, Greece; RGC and Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZ\u0160, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF, and Cantons of Bern and Geneva, Switzerland; MOST, Taipei; TENMAK, T\u00FCrkiye; STFC, United Kingdom; DOE and NSF, USA. In addition, individual groups and members have received support from BCKDF, CANARIE, CRC, and DRAC, Canada; PRIMUS 21/SCI/017 and UNCE SCI/ 013, Czech Republic; COST, ERC, ERDF, Horizon 2020, ICSC-NextGenerationEU, and Marie Sk\u0142odowska-Curie Actions, European Union; Investissements d\u2019Avenir Labex, Investissements d\u2019Avenir Idex, and ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales, and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and MINERVA, Israel; Norwegian Financial Mechanism 2014-2021, Norway; NCN and NAWA, Poland; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain; G\u00F6ran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF/SFU (Canada), NDGF (Denmark, Norway, Sweden), CCIN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), RAL (UK), and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in Ref. [68].We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; CNPq and FAPESP, Brazil; NSERC, NRC, and CFI, Canada; CERN; ANID, Chile; CAS, MOST, and NSFC, China; Minciencias, Colombia; MEYS CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF, and MPG, Germany; GSRI, Greece; RGC and Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZ\u0160, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF, and Cantons of Bern and Geneva, Switzerland; MOST, Taipei; TENMAK, T\u00FCrkiye; STFC, United Kingdom; DOE and NSF, USA. In addition, individual groups and members have received support from BCKDF, CANARIE, CRC, and DRAC, Canada; PRIMUS 21/SCI/017 and UNCE SCI/013, Czech Republic; COST, ERC, ERDF, Horizon 2020, ICSC-NextGenerationEU, and Marie Sk\u0142odowska-Curie Actions, European Union; Investissements d\u2019Avenir Labex, Investissements d\u2019Avenir Idex, and ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales, and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and MINERVA, Israel; Norwegian Financial Mechanism 2014-2021, Norway; NCN and NAWA, Poland; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain; G\u00F6ran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF/SFU (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), RAL (UK), and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in Ref.
How consumers' economic and psychological vulnerabilities impact their consumption regulation during crisis
This paper focuses on the economic and psychological vulnerabilities that are intensified due to the effects of the COVID-19 pandemic on individuals' health, education and living standards. The deteriorating mental and financial conditions of individuals, called psychological and economic vulnerability, have made an impact on consumers' consumption patterns and habits. This study has proposed that when consumer vulnerabilities increase, consumers will be more likely to express prosocial behaviours and assume higher social capital change that may influence their consumption regulations. The findings are based on a panel survey of 786 individuals via CATI in two waves of data collection in Turkiye (Wave I: 20 July-10 August 2020; Wave II: 20 November-10 December 2020). In Wave I, it is found that when individuals face economic and psychological vulnerability, their tendency to show prosocial behaviour is negatively affected. In Wave II, when the COVID-19 cases peaked, while economic vulnerability still leads to lower prosocial behaviour, psychological vulnerability gets reversed and results in higher prosocial behaviour. Interestingly, in both waves, when consumers perceive positive social capital change due to increased prosocial behaviour, they are less likely to show consumption regulation.Scientific and Technological Research Council of Turkiye (TUBITAK) [120K323]The Scientific and Technological Research Council of Turkiye (TUBITAK), Grant/Award Number: 120K32
Can technological progress, renewable and nuclear energy consumption be the remedy for global climate crises? An examination of leading OECD countries
Energy is the most critical input for production and consumption. The inputs of energy cause irreversible damage to the environment. The studies carried out to reduce the environmental impact of the methods used in energy production are extremely valuable. This study aims to reveal the effects of technological development, nuclear energy consumption, and renewable energy use on environmental degradation. The patent numbers, technological development, GDP, renewable energy, and nuclear energy consumption data of 16 OECD countries covering the years 1996-2019 were used in the empirical analysis. The findings of panel FMOLS and DOLS methods reveal that technological progress, nuclear, and renewable energy consumption significantly reduce CO2 emissions. In line with these findings, critical policy implications have been suggested
Trolling brands and consumers in the era of social media: The trolling phenomenon in business contexts
The author of this chapter reviews the literature on the trolling behaviors of online users and proposes a conceptual framework to elucidate the role of the trolling phenomenon in marketing-related contexts. At first, this chapter presents a comprehensive multidisciplinary investigation that builds upon previous conceptualizations of trolling behaviors. Based on this investigation, the author summarizes the fundamental and distinctive characteristics of trolling acts. Then, this chapter suggests a conceptual framework that explains mechanisms predicting these behaviors and potential outcomes. Finally, this chapter provides a detailed overview of the antecedents and consequences of trolling behaviors by consumers against brands and other consumers in online contexts. © 2024, IGI Global. All rights reserved
The Social Cure Properties of Groups Across Cultures: Groups Provide More Support but Have Stronger Norms and Are Less Curative in Relationally Immobile Societies
We investigate whether the social cure properties of groups vary across cultures, testing hypotheses that the associations between multiple group memberships (MGM) and depressive symptoms will (a) be mediated by social support and uncomfortable normative pressures, and (b) vary systematically with sample-level relational mobility. Analyses of data from a survey (N = 5,174) conducted within k = 29 samples show that MGM is negatively associated with depressive symptoms, an association fully mediated by social support and uncomfortable normative pressures. In line with our theorizing, in samples with higher levels of relational mobility constraints, the association between MGM and depressive symptoms is weaker, the associations between MGM and social support and between MGM and normative pressures are stronger, and the association between social support and depressive symptoms weaker. The indirect link between MGM and depressive symptoms via social support is significant at both low and high levels of relational mobility constraints.Kazan Federal University Strategic Academic Leadership Program (PRIORITY-2030); DFG [464524346]The author(s) disclosed receipt of the following financial supportfor the research, authorship, and/or publication of this article:The work of Olga Lopukhova was supported by the Kazan Federal University Strategic Academic Leadership Program (PRIORITY-2030). Lusine Grigoryan work on this project was supported by DFG individual grant #464524346
Backlash towards male versus female leaders' interpersonal emotion management strategy use: The role of followers' gender-based leadership stereotypes
Research on the backlash effect predominantly investigated penalties men and women incurred when they violate gender norms in the domain of achievement-oriented aggressiveness. We investigated backlash reactions towards female versus male leaders' attempts to manage follower emotions using one of two gender-stereotypic interpersonal emotion management strategies, cognitive change or expression suppression, in a 2x2 vignette experiment in which undergraduate students as participants acted as followers (N = 206). We hypothesized that followers high in explicit or implicit prejudice towards female leadership would be motivated to show backlash in the form of negative attitudes and anger when female leaders use an expression suppression strategy and when male leaders use a cognitive change strategy, violating gender norms. We also explored the role of followers' gender as a boundary condition of backlash reactions towards leaders of the same versus opposite sex. Male participants with negative explicit attitudes towards women leaders in general expressed higher levels of anger towards a female leader who utilized a suppression strategy. Female participants holding implicit stereotypes reported negative attitudes for both female and male leaders who utilized a gender-incongruent emotion management strategy. We discuss the implications of our findings for theory and research on the backlash effect.Turkiye Bilimsel ve Teknolojik Arascedil;timath;rma Kurumu [108K421]Turkiye Bilimsel ve Teknolojik Ara & scedil;t & imath;rma Kurumu, Grant/Award Number: 108K42
Counterface soil type and loading condition effects on granular/cohesive soil – Geofoam interface shear behavior
Soil – geofoam interfaces have been studied through an extensive experimental program by performing multiple series of interface shear tests using two different granular soils (i.e. beach sand and construction material sand) and one cohesive soil (i.e. bentonite clay) as well as a soil mixture containing 75% sand and 25% clay by dry weight at distinct loading conditions (i.e. normal stresses (?): 25, 100, 250; low, moderate, high loading conditions, respectively). Using the shear stress versus horizontal displacement curves obtained, some important engineering design parameters including peak shear stress, residual shear stress, interface sensitivity (i.e., peak/residual ratio) and displacement required to reach peak stress have been determined and the variations in those interface mechanical properties as a function of loading condition and counterface soil type have been investigated. It was shown that the peak as well as residual shear stresses increased with an increase in normal stress for all the interface systems tested. Further, the granular soil (sand) interfaces demonstrated relatively larger frictional strengths (both peak and residual) as compared to both the cohesive soil (clay) interface and the sand/clay admixture soil interface. Additionally, the higher the angularity of granular soil particles became, the larger the interface shear strengths (peak and residual), when sheared against geofoams, developed in light of experimental results attained as a result of interface shear tests on different material combinations. For comparison, the detected peak strength at average for the construction material sand, the beach sand, and the sand/clay admixture soil interfaces as compared to the bentonite clay interface were improved 59.8%, 43.4%, and 20.3%, respectively. Additionally, the detected residual strength at average for the construction material sand, the beach sand, and the sand/clay admixture soil interfaces as compared to the bentonite clay interface were improved 53.9%, 28.6%, and 15.4%, respectively. © Author(s) 2024
Evaluation of the relationship between serum vitamin D level and depression status and phase angle in obese individuals
Lisansüstü Programlar Enstitüsü, Beslenme ve Diyetetik Ana Bilim DalıBu çalışma obez bireylerdeki serum D vitamini düzeyi ile depresyon durumu ve faz açısı arasındaki ilişkiyi incelemek amacıyla 224'ü kadın, 36'sı erkek toplam 260 katılımcı üzerinde yürütülmüştür. Yaş ortalaması kadınlarda 42,72 ± 10,93; erkeklerde 43,25 ± 13,3 ve tüm katılımcılarda 42,79 ± 11,26'dır. BKI değerlerine göre obezite sınıflaması yapıldığında tüm katılımcıların %25,8'inin (n=67) I. derece obez; %43,1'inin (n=112) II. derece obez ve %31,2'si nin (n=81) III. derece obez olduğu tespit edilmiştir. Katılımcılar serum D vitamini düzeylerine göre; serum 25(OH)D20 ng/mL ise D vitamini yeterlilik grubu olmak üzere üç gruba ayrılarak değerlendirilmiştir. Bu değerlendirmeye göre tüm katılımcıların %45'inde (n=117) D vitamini eksikliği; %43,8'inde (n=114) D vitamini yetersizliği ve %11,2'sinde (n=29) D vitamini yeterliliği saptanmıştır. Çalışmada, katılımcıların obezite dereceleri ile serum D vitamini seviyeleri arasında istatiksel farklılık gözlenmezken (p>0.05); kadın katılımcılardaki serum D vitamini seviyelerinin erkeklere kıyasla daha düşük olduğu belirlenmiş ve cinsiyetler arası fark anlamlı bulunmuştur (p20 ng/mL is in the vitamin D sufficiency group. According to this evaluation, was detected vitamin D deficiency in 45% (n=117) of all participants, vitamin D insufficiency in 43.8% (n=114) and vitamin D sufficiency in 11.2% (n=29). In the study, no statistical difference was observed between the participants' obesity degrees and serum vitamin D levels (p>0.05); Serum vitamin D levels in female participants were determined to be lower than in men, and the difference between genders was found to be significant (p <0.05). In addition, it was determined that there was a negative and significant correlation between the participants' depression levels and serum vitamin D levels, that is, as the severity of depression increased, the average serum vitamin D level decreased (p<0.05). In our study, phase angle values are grouped as <5o low phase angle, 5-7o normal phase angle and ?7o high phase angle. Phase angle values were observed to be lower in the vitamin D deficient group and higher in the vitamin D sufficient group (p<0.05). At the end of the study, a relationship was found between vitamin D, depression status and phase angle parameters. It was reported that participants with high serum vitamin D levels had lower Beck Depression Inventory scores and higher phase angle values. However, larger comprehensive studies are needed to support these data obtained on the subject