Parallel Way Research Articles

B-221 Combined RT-PCR and Whole Exome Sequencing Pharmacogenetic Testing in Polypharmacy Patient: A Case Report

Abstract Background Pharmacogenetics has become one of the main branches of Precision Medicine owing to its usefulness for patients’s optimal therapeutic management. Notwithstanding, pharmacogenetic testing results must be taken carefully, specially in multimorbidity patients with a variety of drugs prescribed. The aim of the present work is to introduce a combined RT-PCR and Whole Exome Sequencing Approach for pharmacogenetic testing in a patient with multiple drug-related adverse events. Case Background A 67 years old female was derived to our Clinical Chemistry Unit for pharmacogenetic testing due to multiple drug-related adverse events: nifedipine-voriconazole interaction, voriconazole-related neurological toxicity and moxifloxacin-related dizziness. Aditionally, she had been receiving morphine, corticoid for her reumatoid arthritis and antituberculous therapy (r isoniazid / pyrazinamide / rifampin and ethambutol). Methods Patient’s DNA was extracted from a blood sample and undergone by pharmacogenetic testing in two parallel ways: -A first genotyping assay was carried out using Taqman® OpenArray™ PGx Express 120 panel (ThermoFisher™), according to manufacturer’s instructions. -Simultaneusly, in order to cover possible copy number variants and SNPs not covered by our RT-PCR array, a whole exome sequencing run was performed on IlluminaTM NextSeq 1000. Sample library was prepared applying a custom GRCh38 pipeline. Results Relevant variants related to patient’s therapy found by RT-PCR are shown in table 1. SNPs genotyped by RT-PCR were confirmed by NGS. Moreover, whole exome sequencing revealed a deletion in exon 5 of SLCO1B1 gene, which corresponds to SLCO1B1*49 (loss of function); and some variants in NAT2 that may cause toxicity in antituberculous treatment (diplotype NAT2*6C/*7C). Conclusions In those challenging cases that involve multimorbidity and polypharmacy patients, pharmacogenetic testing must be approached taking into account variants that are not covered by the analytical method routinely used and the possibility of complement it with alternative proccedures.

Image Enhancement Guided Object Detection in Visually Degraded Scenes.

Object detection accuracy degrades seriously in visually degraded scenes. A natural solution is to first enhance the degraded image and then perform object detection. However, it is suboptimal and does not necessarily lead to the improvement of object detection due to the separation of the image enhancement and object detection tasks. To solve this problem, we propose an image enhancement guided object detection method, which refines the detection network with an additional enhancement branch in an end-to-end way. Specifically, the enhancement branch and detection branch are organized in a parallel way, and a feature guided module is designed to connect the two branches, which optimizes the shallow feature of the input image in the detection branch to be as consistent as possible with that of the enhanced image. As the enhancement branch is frozen during training, such a design plays a role in using the features of enhanced images to guide the learning of object detection branch, so as to make the learned detection branch being aware of both image quality and object detection. When testing, the enhancement branch and feature guided module are removed, and so no additional computation cost is introduced for detection. Extensive experimental results, on underwater, hazy, and low-light object detection datasets, demonstrate that the proposed method can improve the detection performance of popular detection networks (YOLO v3, Faster R-CNN, DetectoRS) significantly in visually degraded scenes.

Generalized Lipschitz Tracing of Implicit Surfaces

AbstractWe present a versatile and robust framework to render implicit surfaces defined by black‐box functions that only provide function value queries. We assume that the input function is locally Lipschitz continuous; however, we presume no prior knowledge of its Lipschitz constants. Our pre‐processing step generates a discrete acceleration structure, a Lipschitz field, that provides data to infer local and directional Lipschitz upper bounds. These bounds are used to compute safe step sizes along rays during rendering. The Lipschitz field is constructed by generating local polynomial approximations to the input function, then bounding the derivatives of the approximating polynomials. The accuracy of the approximation is controlled by the polynomial degree and the granularity of the spatial resolution used during fitting, which is independent from the resolution of the Lipschitz field. We demonstrate that our process can be implemented in a massively parallel way, enabling straightforward integration into interactive and real‐time modelling workflows. Since the construction only requires function value evaluations, the input surface may be represented either procedurally or as an arbitrarily filtered grid of function samples. We query the original implicit representation upon ray trace, as such, we preserve the geometric and topological details of the input as long as the Lipschitz field supplies conservative estimates. We demonstrate our method on both procedural and discrete implicit surfaces and compare its exact and approximate variants.

Enhanced corrosion inhibition performance of 5-amino-3‑bromo-1-methylindazole on copper in sulfuric acid environments

The corrosion inhibitor 5-amino-3‑bromo-1-methylindazole (ABMI) with multiple substituents can effectively protect the copper substrate. According to the electrochemical experiment results, at 298 K, 3 mM ABMI may suppress copper corrosion by 92.1 %. Furthermore, going from 298 K to 308 K raises the temperature at which 3 mM ABMI may continue to suppress corrosion with an efficiency exceeding 90 %. The weight loss test, SEM, AFM, and XRD data all reveal that the presence of ABMI efficiently prevents the corrosion media from dissolving the copper substrate. The ΔGads0 value of ABMI is −32.97 kJ/mol, demonstrating that it works on the metal/solution interface through physical adsorption and chemisorption. The results of molecular dynamics modeling and quantum chemical computation show that ABMI adsorbs to the metal superficies in a nearly parallel way, minimizing the exposure area among the metal superficies with the medium with corrosive substances and providing the best possible protection for copper.

Memristive Circuit Implementation of Caenorhabditis Elegans Mechanism for Neuromorphic Computing.

To overcome the energy efficiency bottleneck of the von Neumann architecture and scaling limit of silicon transistors, an emerging but promising solution is neuromorphic computing, a new computing paradigm inspired by how biological neural networks handle the massive amount of information in a parallel and efficient way. Recently, there is a surge of interest in the nematode worm Caenorhabditis elegans (C. elegans), an ideal model organism to probe the mechanisms of biological neural networks. In this article, we propose a neuron model for C. elegans with leaky integrate-and-fire (LIF) dynamics and adjustable integration time. We utilize these neurons to build the C. elegans neural network according to their neural physiology, which comprises: 1) sensory modules; 2) interneuron modules; and 3) motoneuron modules. Leveraging these block designs, we develop a serpentine robot system, which mimics the locomotion behavior of C. elegans upon external stimulus. Moreover, experimental results of C. elegans neurons presented in this article reveals the robustness (1% error w.r.t. 10% random noise) and flexibility of our design in term of parameter setting. The work paves the way for future intelligent systems by mimicking the C. elegans neural system.

The impact of social isolation on smartphone addiction among college students: the multiple mediating effects of loneliness and COVID-19 anxiety.

The widespread use of smartphones has significantly increased smartphone addiction among college students, especially during the COVID-19 pandemic. Since the COVID-19 outbreak, university campuses in mainland China have strictly followed the Chinese government's strict quarantine policy, including closed campus management, prohibitions against gatherings, and social distancing, increasing student loneliness and anxiety and thus increasing the risk of smartphone addiction. Extant Studies have revealed that social isolation is a prominent predictor of smartphone addiction but have failed to systematically explore the complex relationship between social isolation and smartphone addiction in the context of COVID-19; therefore, the underlying mechanisms of these factors in the post-pandemic era are unclear. This study is the first attempt to consider loneliness, COVID-19 anxiety and social isolation as a whole and to clarify the underlying mechanisms of social isolation and smartphone addiction by constructing a multiple mediating model. This study included students enrolled at eight higher education institutions in Conghua District (Guangzhou city). Quota proportional sampling was adopted, 900 self-report questionnaires were distributed through the WeChat groups of these universities from December 10 to December 15, 2022, and 868 valid questionnaires (620 females, 248 males) were ultimately obtained. The direct effect of social isolation on smartphone addiction was significant, and loneliness and COVID-19 anxiety mediated the association between social isolation and smartphone addiction in both parallel and sequential ways. Moreover, a reverse mediation model with COVID-19 anxiety as the first mediator and loneliness as the second mediator was found. College students who experience social isolation are at greater risk for smartphone addiction, and the core factor leading to their smartphone addiction is the subjective psychological state triggered by campus isolation and social distancing, such as loneliness and anxiety. These risky behaviors of people should receive extra attention, and psychological factors such as loneliness and COVID-19 anxiety should be considered in future therapies aimed at reducing addiction.

Critical Infrastructure in Historical Perspective: The Portuguese Railroad Network in the Second Half of the Nineteenth Century

In the 1850s, Portugal initiated an ambitious public works program spearheaded by railroads. In this article, I analyze how policymakers (congressmen, government officials, engineers, and military officers) debated and managed the construction and operation of the Portuguese railroad network using the theoretical framework of critical infrastructure. I show that railroads were deemed critical to modernize the country, draw it closer to the European core nations and further from the periphery, and to attract traffic to the Portuguese harbors. The absence of railroads was considered a vulnerability that could jeopardize Portugal as a nation and it fostered a sense of urgency that motivated policymakers to act, to a large extent, hastily. The construction of the network brought about other vulnerabilities that, for different motives, could threaten the future of the country. In a parallel way, the implementation of the system was marked by vulnerabilities that originated within or surrounding it, which limited its technical potential. Balancing between a literature review and the use of primary sources (parliamentary debates, technical reports, the press, and photography), I argue that the criticality associated with railroads, as a sociotechnical construction, was central to motivate their construction, but different vulnerabilities, inherent or external to the system, limited their influence and the advantages touted by its promoters.

Extracurricular Activities in Environmental Educational Clubs: A Way to Improve Learning and Anchor Environmental Culture In Qualifying Secondary

The recent wave of reform in Education brought with it a lot of important changes to the teaching of science in secondary school, in particular by favouring the integration of new disciplinary and priority fields such as environmental education (EVE). However, it appears that, concretely, EVE actions are rather rare in our educational institutions given the lack of initial teacher training in this field. The context of this work is interested in showing how environmental education clubs can contribute to the improvement of environmental learning and education in qualifying secondary schools. The difficulty of combining environmental education with the teaching of life and earth sciences is associated with the difficulty of linking all school disciplines within a reformed national curriculum. However, it appears that, concretely, EVE actions are rather rare in our educational institutions given the lack of initial teacher training in this field. The context of this work is interested in showing how environmental education clubs can contribute to the improvement of environmental learning and education in qualifying secondary schools. The difficulty of combining environmental education with the teaching of life and earth sciences is associated with the difficulty of linking all school disciplines within a reformed national curriculum. The difficulties raised regarding the institutionalization of the EVE are very real and internationally encountered, but remain diluted through the sum of all the problems related to the new curricula. Despite all the socio-educational, political and economic constraints, it is important to insist that environmental education has its place in the fundamental education of young citizens today in a world they contribute to building. The systematic integration of the environmental dimension in the Moroccan education system can be conceived in two parallel ways: the disciplinary contents that must ensure the construction of skills and solid theoretical knowledge on the environment in the learners by providing them with the necessary knowledge as well as the practical and extracurricular activities provided by the clubs of the environment, considered a crucial and compulsory field, which allows multidimensional teaching linked to the concerns of society.

Parallel trajectories and theorizations of religion and family in modernity: Toward an institutional logics perspective

Scholars theorize the effect of modernization on religious and familial institutions in a parallel way. Some argue that both are irreversibly in decline—as secularization and deinstitutionalization, respectively—while others argue that they have either merely changed or are in fact growing stronger. However, correctly interpreting institutional change depends not only on how one evaluates the empirical starts and endpoints but also on how one defines the domains under change themselves. In this paper, I examine these debates, detail the structural similarities in their arguments, and outline a new analytical approach informed by recent work in institutional logics to better answer the definitional questions. Theorizing both institutions together and their parallel trajectories in modernity reveals unique insights about the scholarly discourse on modernization and is especially important given the unique influence of religion and family on one another as (seemingly) privatized spheres of social life.

Фактори ефективності кооперативного навчання: теоретичні підходи і емпіричні дослідження

The article deals with the problem of factors and psychological mechanisms of influence of cooperative learning on students' achievement. On the basis of comparative analysis, four approaches to understanding the factors of effectiveness of cooperative learning are distinguished: motivational, socio-psychological, cognitive-genetic, and cognitive-functional. The motivational approach (D. Johnson, R. Johnson, R. Slavin) brings to the fore the motivation of performing joint educational tasks, determining the structure of rewards or group educational tasks that stimulate and direct the activity of students. The socio-psychological approach (E. Aronson, V. Battisch, D. Solomon, K. Delucci, E. Cohen, S. Sharan, Y. Sharan) emphasizes the cohesion of students, their interpersonal relationships, which depend on the success of educational activities: students actively participate in group tasks and help each other if they identify with the group and strive for joint success. Proponents of this approach attach great importance to ways of forming student groups (teams), establishing constructive interpersonal relationships during joint learning, as well as reflecting on the process and results of joint cognitive activity. Proponents of cognitive approaches believe that interaction between students in itself increases their success due to intensive cognitive processing of information, rather than motivation or social cohesion of students. Two slightly different cognitive approaches are distinguished, which developed in parallel ways: cognitive-genetic and cognitive-functional. The cognitive-genetic approach, which was formed in line with the theories of mental development of L. Vygotsky and J. Piaget, is based on the assumption that communicative interaction in the process of performing cognitive tasks contributes to the mental development of students and increases the quality of assimilation of educational material (M. Burns, B. Wadsworth, W. Damon, F. Murray). The cognitive-functional approach arose in the vein of cognitive psychology and claims that the positive effect of cooperative learning on the success of students is ensured by cognitive restructuring (processing) of educational information, which contributes to its preservation in memory and integration into the previously learned system of knowledge (S. Allen, N. Webb, M. Wittrock, D. Dansereau, L. Devin-Sheehan, A. O'Donnell, A. Palincsar, M. Presley, R. Feldman). Summarizing the results of research in the field of cooperative learning makes it possible to create a coherent theoretical model that integrates various approaches and comprehensively considers the main factors of the effectiveness of cooperative learning: motivation, group cohesion, processes of interpersonal interaction that stimulate cognitive development and processing of educational material. In such a model, each of the four approaches considered plays a role and makes an important contribution to understanding the interrelated processes of cooperative learning.

Hyperspectral Anomaly Detection Using Reconstruction Fusion of Quaternion Frequency Domain Analysis.

Most existing techniques consider hyperspectral anomaly detection (HAD) as background modeling and anomaly search problems in the spatial domain. In this article, we model the background in the frequency domain and treat anomaly detection as a frequency-domain analysis problem. We illustrate that spikes in the amplitude spectrum correspond to the background, and a Gaussian low-pass filter performing on the amplitude spectrum is equivalent to an anomaly detector. The initial anomaly detection map is obtained by the reconstruction with the filtered amplitude and the raw phase spectrum. To further suppress the nonanomaly high-frequency detailed information, we illustrate that the phase spectrum is critical information to perceive the spatial saliency of anomalies. The saliency-aware map obtained by phase-only reconstruction (POR) is used to enhance the initial anomaly map, which realizes a significant improvement in background suppression. In addition to the standard Fourier transform (FT), we adopt the quaternion FT (QFT) for conducting multiscale and multifeature processing in a parallel way, to obtain the frequency domain representation of the hyperspectral images (HSIs). This helps with robust detection performance. Experimental results on four real HSIs validate the remarkable detection performance and excellent time efficiency of our proposed approach when compared to some state-of-the-art anomaly detection methods.

Fraught with Tension: The Question of the Unity of the Corpus Dionysiacum

Abstract: There is debate about whether the Corpus Dionysiacum consists of two parts or offers a coherent position. One group of scholars presents a divisionist position, distinguishing one group of treatises dominated by the idea of hierarchical mediation from a second concentrating on the idea of individual and mystical knowledge of God. The second scholarly interpretation supports a holistic view and underlines the unity of the Corpus . I argue that the Corpus is a unity fraught with tension. Dionysius presents, I argue, a comprehensive view of human beings and their place in the world that offers different—and maybe at times competing—paths to understanding and to the ascent to the divine. The mystical, metaphysical, and meditative path and the sacramental path are not merely parallel ways, one for monks and the other for the bishops and laity. They are connected through the communal theological work presented in the fiction of a theological correspondence between the author and various members of the hierarchy.

Correlative and Free Relative constructions in Odia and English

The present paper investigates multiple Correlative Constructions (CC) in Odia and sketches a combined semantic and syntactic analysis. The paper describes Correlative Constructions and related constructions in Odia, with a view especially to its quantificational systems, one residing in lexical quantifiers, and one in the clause combinations which constitute CCs. Over the last decades, a growing literature has addressed similarities between CCs as instantiated in languages on the Indian subcontinent and types of Free Relatives, e.g., in English, as they occur in positions adjoined to clauses, here to be called Adjoined Free Relatives (AFRs). AFR constructions supplement lexical quantification in English in a parallel way to CCs in Odia, and we explore possibilities of representing CCs and AFR constructions within a common semantico-syntactic frame of analysis. We show how the quantificational effects of CCs can be derived from their character as relative constructions, residing in what we call co-targeted predicates, as opposed to lexical encoding of quantificational meaning through items such as ‘each’, ‘every’ and the like. We thereby describe two distinct strategies for obtaining partially similar quantificational effects, a finding which applies to CC/AFR constructions cross-linguistically.

How social and media cues induce live streaming impulse buying? SOR model perspective.

Live streaming is revolutionizing the landscape of e-commerce, creating new opportunities for platforms and e-tailers to improve their performance. However, little is known about the underlying mechanisms that shape consumer behavior in this burgeoning business phenomenon. This study aims to shed light on the relationships between environmental cues generated by live streaming and online impulse buying. Drawing upon the Stimulus-Organism-Response framework, a comprehensive model was formulated to explore how social cues (streamer interaction, peer interaction) and media cues (vividness, realness) impact pleasure, arousal, perceived uncertainty, and subsequently induce consumers' urge to buy impulsively. The model was tested by survey data from 403 consumers. SPSS and PLS are employed to verify the model. The findings revealed that realness and streamer interaction can reduce perceived uncertainty and foster a pleasant consumer experience, while vividness and peer interaction serve to awaken and delight consumers. Pleasure, arousal, and perceived uncertainty mediate antecedent variables' effects on urge to buy impulsively in a parallel and reverse way, and emotions exert a more powerful influence. This study enriched the research on the influence mechanisms of impulse buying driven by live streaming and provided suggestions for platforms and streamers to optimize product display and guide interaction, which is conducive to leveraging the advantages of live streaming and creating greater commercial value.

A Heterogeneous Group CNN for Image Super-Resolution.

Convolutional neural networks (CNNs) have obtained remarkable performance via deep architectures. However, these CNNs often achieve poor robustness for image super-resolution (SR) under complex scenes. In this article, we present a heterogeneous group SR CNN (HGSRCNN) via leveraging structure information of different types to obtain a high-quality image. Specifically, each heterogeneous group block (HGB) of HGSRCNN uses a heterogeneous architecture containing a symmetric group convolutional block and a complementary convolutional block in a parallel way to enhance the internal and external relations of different channels for facilitating richer low-frequency structure information of different types. To prevent the appearance of obtained redundant features, a refinement block (RB) with signal enhancements in a serial way is designed to filter useless information. To prevent the loss of original information, a multilevel enhancement mechanism guides a CNN to achieve a symmetric architecture for promoting expressive ability of HGSRCNN. Besides, a parallel upsampling mechanism is developed to train a blind SR model. Extensive experiments illustrate that the proposed HGSRCNN has obtained excellent SR performance in terms of both quantitative and qualitative analysis. Codes can be accessed at https://github.com/hellloxiaotian/HGSRCNN.

Parallelization of adaptive Bayesian cubature using multimodal optimization algorithms

PurposeBayesian cubature (BC) has emerged to be one of most competitive approach for estimating the multi-dimensional integral especially when the integrand is expensive to evaluate, and alternative acquisition functions, such as the Posterior Variance Contribution (PVC) function, have been developed for adaptive experiment design of the integration points. However, those sequential design strategies also prevent BC from being implemented in a parallel scheme. Therefore, this paper aims at developing a parallelized adaptive BC method to further improve the computational efficiency.Design/methodology/approachBy theoretically examining the multimodal behavior of the PVC function, it is concluded that the multiple local maxima all have important contribution to the integration accuracy as can be selected as design points, providing a practical way for parallelization of the adaptive BC. Inspired by the above finding, four multimodal optimization algorithms, including one newly developed in this work, are then introduced for finding multiple local maxima of the PVC function in one run, and further for parallel implementation of the adaptive BC.FindingsThe superiority of the parallel schemes and the performance of the four multimodal optimization algorithms are then demonstrated and compared with the k-means clustering method by using two numerical benchmarks and two engineering examples.Originality/valueMultimodal behavior of acquisition function for BC is comprehensively investigated. All the local maxima of the acquisition function contribute to adaptive BC accuracy. Parallelization of adaptive BC is realized with four multimodal optimization methods.

대행 관련 법제도 분석 및 개선방안

The agency system of administrative affairs has many provisions under the current law, but there is no unified definition provision. Therefore, in order to prevent confusion in law enforcement and to improve the efficiency of administration through the agency of administrative affairs, a legal reorganization is required. This study attempted to systematize the legal principles of the agency system through comparison with adjacent concepts and analysis of related precedents, to identify a general principles through investigation and categorizing of the current law that codified the agency. Chapter 2 analyzes legal theories and precedents related to the agency system. In the case of an agency, it is distinguished from delegation or consignment to which authority and responsibility are transferred in that the agency is given virtually independent administrative authority, but the authority is not legally transferred, and it is also different from an administrative assistant who technically executes administrative affairs independently according to the direction of the administrative agency. The agency system is characterized by the reservation of its authority and responsibility because all legal effects are bound to the agency and the agency is not specified as an agent. Regarding agency, the Supreme Court cases judge the term agency based on the meaning of the actual use of the term agency, such as denying or affirming the effect of disposition in the name of the agent by grasping the legal nature of the agency in detail. In the case of the Constitutional Court, there are many judgments on whether the agency system related to freedom of occupation is unconstitutional. In Chapter 3, provisions related to agency are categorized based on the results of an investigation of the current laws. It is classified into a type in which the state or local government, which is the agency to act, entrusts administrative affairs to the private sector based on laws and regulations, a form in which an administrative agency entrusts administrative affairs to another administrative agency, and a case in which the administrative agency entrusts the authority and duties in the event of an vacancy of a job performer. Examining based on these types of work, there are limitations that it is difficult to find the general principles of the agency system that apply to all the provisions under the current law that stipulate agency. In addition, there are many articles that stipulate ‘entrustment or agency’, so it seems desirable to reorganize the legal system in a parallel way that legalizes issues specific to administrative agency and reorganizes agency articles used in the same sense as entrustment or delegation. If a plan to improve the agency system is presented based on these implications, it should prioritize creating a general rule on the agency's general affairs, and making preliminary guidelines on the permission, basis, reservation of authority and responsibility of the agency. It needs to improve legal consistency by preparing regulatory provisions for the agency, making it a general provision that the administrative agency has the authority to direct and supervise administrative affairs. It is necessary to reserve the authority to take measures such as ordering or correcting the agency's handling of administrative affairs, and to codify where external responsibility may arise to third parties due to the suspension or cancellation of the agency. At the same time, it is necessary to amend the provisions under the individual laws that stipulate agency into entrustment, delegation, and acting on duty to meet specific legal characteristics.

The cooperation‐infrastructure nexus: Translating the ‘China Model’ into Laos

The Belt and Road Initiative (BRI) is frequently described as a ‘hard’ infrastructure programme of roads, railways, and ports. But a variety of ‘soft’ development cooperation activities—including trainings, dialogues, research, and development projects—have also been established under the banner of the BRI. We examine how this ‘soft’ cooperation works hand‐in‐hand with ‘hard’ infrastructure in what we call the cooperation‐infrastructure nexus. This nexus works in two parallel ways: cooperation activities establish discursive frames of Chinese development as a model to follow, while also creating channels of exchange and support that validate and facilitate infrastructure investments. These investments, in turn, legitimize and often provide direct channels for further cooperation. To make this argument, we present empirical research conducted in China and Laos in two sectors: hydropower and rubber. Both expanded rapidly in China over the past three decades and are held up as models to follow; both are also the basis for cooperation and infrastructure interventions across Southeast Asia. We show that Chinese rubber and hydropower cooperation activities serve both to frame existing projects positively and facilitate future investments in those sectors in Laos. The infrastructure established on the ground, however, rarely resembles the ‘China model’ upon which it is discursively based. Instead, we find that important obstacles and contradictions arise in translating China's domestic achievements into other country contexts. Our findings show the need to consider cooperation as intertwined with infrastructure, while acknowledging the disconnect between discourses of a China model and experiences on the ground.

Health Beliefs on Sportive Recreational Activities of University Students

The aim of this study is to examine the health beliefs of university students regarding sportive recreational activities and the differentiation of these beliefs by various variables. 203 university students were included in the study, and the data were obtained by demographic questionnaire and "Health Beliefs Regarding Sportive Recreational Activities" scale which is developed by Ertuzun, Bodur & Karakucuk (2013). Descriptive statistics, independent sample t test and one-way analysis of variance ANOVA and post hoc tests were used to analyze the data. For this study, the internal consistency coefficient of HBSSRA was determined as .91. The participants' health belief scores regarding sportive recreational activities were above the average, the highest sub-dimension score was obtained in the perceived seriousness sub-dimension (3.91±0.93), and the lowest sub-dimension score was obtained in the self-efficacy sub-dimension (3.04±0.90). At the same time, it was determined that the participants' health beliefs about sportive recreational activities did not differ according to gender and perceptions of productive leisure, but their health beliefs about sportive recreational activities differed with income and daily leisure time duration. As a result, it was determined that the participants' health beliefs about sportive recreational activities were at an average level and differed according to certain variables. It is recommended that increasing the participation of students in sportive recreational activities and increasing the health gains they are likely to achieve in this way in parallel.

Modeling multivariate extremes

AbstractThe Central Limit Theorem justifies using a normal distribution when looking at sums of many terms. In a parallel way, extreme value distributions arise in the study of maxima of many terms. The goal of this paper is to briefly review the univariate theory of extremes based on the Fisher‐Tippet‐Gnedenko Theorem. We then state the basics of the multivariate theory, which is significantly more complicated because it requires a measure to define the distribution. Some properties of these laws are explored, including a description of the support, an expression for the density when it exists, and some examples that illustrate possible joint dependence structures.This article is categorized under: Statistical and Graphical Methods of Data Analysis > Multivariate Analysis Applications of Computational Statistics > Computational Finance