Miracle-dz/UniFAR-FTUs huggingface dataset:
Kinanthropometric parameters of swimmers placed in talented youth groups

The aim of the study was to determine the kinanthropometric parameters of swimmers placed in talented youth groups of the Slovak Swimming Federation, related to their swimming specialisation. The selected group consisted of 35 swimmers [13 boys and 22 girls], and the average age of the group was 13.8 years. The following basic anthropometric indicators were recorded: body height, body weight, ten skinfolds, and width parameters: epicondylus humeri, epicondylus femoris and thigh and arm circumference. A standard anthropometric set was used in order to gain the data, which served as a basis when determining the subcutaneous fat percentage and the somatotype by means of Somato software. Based upon the information obtained, the swimmers were consequently divided into five categories of motor performance, reflecting the relation between the somatotypes and kinetic abilities of the swimmers. The swimming specialisation was determined by the performances with the highest points scored during the calendar year. The results of the selected group point at a significant heterogeneity of kinanthropometric parameters. It is highly probable that, when selecting a swimming discipline specialisation, the somatotype requirements of particular swimming styles were not taken into consideration. Ectomorphic component was dominant with 51,4% and the average somatotype was 2,7-3,2-4,3 for boys and 3,6-3,0-4,0 for girls. The average value of subcutaneous fat was defined as low, 11,8% at boys and reduced, 16,2% at girls. Predominant category of five categories of motor performance was determined as D at boys and A at girls. Key words: Somatotype, Young talented swimmers, Swimming stroke and discipline specialization, Subcutaneous fat, Category of motor performance Normal 0 21 false false false SK X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Normalni tabulka"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-ansi-language:SK; mso-fareast-language:EN-US;}
Single-residue mutation in protein kinase C toggles between cancer and neurodegeneration

Conventional protein kinase C (PKC) isozymes tune the signaling output of cells, with loss-of-function somatic mutations associated with cancer and gain-of-function germline mutations identified in neurodegeneration. PKC with impaired autoinhibition is removed from the cell by quality-control mechanisms to prevent accumulation of aberrantly active enzyme. Here, we examine how a single residue in the C1A domain of PKCβ, arginine 42 (R42), permits quality-control degradation when mutated to histidine in cancer (R42H) and blocks downregulation when mutated to proline in the neurodegenerative disease spinocerebellar ataxia (R42P). Using FRET-based biosensors, we determined that mutation of R42 to any residue, including lysine, resulted in reduced autoinhibition as indicated by higher basal activity and faster agonist-induced plasma membrane translocation. R42 is predicted to form a stabilizing salt bridge with E655 in the C-tail and mutation of E655, but not neighboring E657, also reduced autoinhibition. Western blot analysis revealed that whereas R42H had reduced stability, the R42P mutant was stable and insensitive to activator-induced ubiquitination and downregulation, an effect previously observed by deletion of the entire C1A domain. Molecular dynamics (MD) simulations and analysis of stable regions of the domain using local spatial pattern (LSP) alignment suggested that P42 interacts with Q66 to impair mobility and conformation of one of the ligand-binding loops. Additional mutation of Q66 to the smaller asparagine (R42P/Q66N), to remove conformational constraints, restored degradation sensitivity to that of WT. Our results unveil how disease-associated mutations of the same residue in the C1A domain can toggle between gain- or loss-of-function of PKC.
Clostridium di ffi cile infection in Alberta’s long-term care facilities

Background: Clostridium difﬁcile infection (CDI) is prevalent in long-term care (LTC) facilities in the United States, Canada, Europe and Australia. However, to our knowledge, CDI surveillance in LTC facilities has not been documented provincially in Alberta or any other Canadian province. This study aims to identify the incidence of CDI in LTC facilities and describe the demographic characteristics of the affected population. Methods: Administrative data from 172 LTC facilities in Alberta, Canada, was obtained from April 1, 2012, and September 30, 2013. Results: The majority of LTC CDI cases were either residents who resided in a LTC facility for more than 72 hours and had no hospitalizations in the previous four weeks (65.7%), or residents who had a hospital visit between 72 hours and four weeks prior to their CDI case (30.3%). Fluid and electrolyte disorders, congestive heart failure, and cardiac arrhythmias were the most common co-morbidities. Approximately 30% of residents died within 60 days of their CDI episode. Conclusions: There is a need to implement routine surveillance to continue monitoring CDI in LTC facilities to assess these ﬁndings further and to evaluate changes over time in response to improvement initiatives related to CDI prevention and clinical management.
Who Gets What from Employer Pay or Play Mandates?

Critics of pay or play mandates, borrowing from the large empirical minimum wage literature, provide evidence that they reduce employment. Borrowing from a smaller empirical minimum wage literature, we provide evidence that they also are a blunt instrument for funding health insurance for the working poor. The vast majority of those who benefit from pay or play mandates which require employers to either provide appropriate health insurance for their workers or pay a flat per hour tax to offset the cost of health care live in families with incomes twice the poverty line or more and, depending on how coverage is determined, the mandate will leave a significant share of the working poor ineligible for such benefits either because their hourly wage rate is too high or they work for smaller exempt firms.
IMPACT OF KOREAN SMALL-AND MEDIUM-SIZED MAN-UFACTURERS’ SUPPLY CHAIN TECHNOLOGY STRATE-GIES AND TECHNOLOGY INNOVATION COMPETENCE ON CORPORATE PERFORMANCE

This empirical study aims to identify the influence of supply chain technology (SCT) strategies and organizational capabilities of Korean small-and medium-sized manufacturers, adopting and operating SCT strategies, on corporate performance. SCT strategy factors of small-and medium-sized manufacturers were considered independent variables, while corporate performance variables were considered dependent variables. Both exploratory factor and reliability analyses for the SCT strategy metrics were employed. Results showed that SCT strategies, the impact of technology innovation competence on corporate performance, influence of SCT strategies on corporate performance, and the mediating effects on SCT strategic factors and corporate performance were significant and adopted. Generally, these results imply that the introduction of Vendor Managed Inventory, Enterprise Resource Planning, Collaborative Planning Forecasting and Replenishment, Warehouse Management Systems, and Order Management System as SCT strategic factors are directly re-lated to enhanced corporate performance. In the context of technology innovation competence, the factors are closely linked with capabilities in strategic planning, research and development, manufacturing, and marketing. In the context of SCT strategic factors of small-and medium-sized manufacturers, if technology innovation competence is combined, enhancing corporate performance is possible.
Subcortical Dementia: Review of an Emerging Concept

• Subcortical dementia is a clinical syndrome characterized by slowness of mental processing, forgetfulness, impaired cognition, apathy, and depression. First recognized in progressive supranuclear palsy and Huntington's disease, the concept has been extended to account for the intellectual impairment of Parkinson's disease, Wilson's disease, spinocerebellar degenerations, idiopathic basal ganglia calcification, the lacunar state, and the dementia syndrome of depression. Disorders manifesting subcortical dementia have pathologic changes that involve primarily the thalamus, basal ganglia, and related brain-stem nuclei with relative sparing of the cerebral cortex. Recent studies of neuropsychologic deficits following focal subcortical lesions also support a role for these structures in arousal, attention, mood, motivation, language, memory, abstraction, and visuospatial skills. The clinical characteristics of subcortical dementia differ from those of dementia of Alzheimer's type where prominent cerebral cortical involvement produces aphasia, amnesia, agnosia, and apraxia.
HSOA Journal of Practical and Professional Nursing

Introduction: Professionalizing internship in nursing education is an experience that can deeply impact the educational path of future nurses, both emotionally and cognitively. It is based on the relationship between the student and the clinical tutor, who can act as a fa-cilitator in the on-the-field learning process throughout their training as a future professional. Objective: To assess the impact of the relationship with the clinical tutor on the student’s learning and evaluation at the end of the intern-ship by investigating the experiences, expectations, and opinions of the students, newly graduated nurses, and tutors. Methods: It has been conducted a cross-sectional design using a validated questionnaire (I-NSPIC, Italian Nursing Students’ Perceptions of Instructor Caring) administered to a sample of 248 nursing students and newly graduated nurses from a university in northern Italy. Results: The student’s perceptions of the clinical tutor’s behavior suggest that these behaviors can have a positive impact not only on the final evaluation but also on the perceived performance, and in particular, behaviors aimed at flexibility and respect create an effective learning environment where the meanings of life can be appreciated. It has also been demonstrated that the final evaluation achieved at the end of the internship can be influenced by the re - lationship established between students and clinical nursing tutors. Conclusion: The relationship established between the clinical tutor and the student can affect the perception of the performance achieved at the end of the internship and the satisfaction of the student’s learning expectations. Therefore, a clinical tutor who is able to create ideal learning conditions, (i.e. able to convey confidence, availability, and support), plays a fundamental role in the educational program of a nursing student.
Security Management realm within the Inter-Cloud

—Within the context of Cloud Computing, one of the most important security challenges is to manage and assure a secure usage over multi-provider Inter-Cloud environments with dedicated communication infrastructures, security mechanisms, processes and policies. The aim of Security controls in Cloud computing is, for the most part, no different than security controls in any IT environment from a functional security management perspective. The adaption and reuse of existing traditional security management areas that have to be enhanced for speciﬁc Cloud computing requirements (e.g., dynamic reconﬁguration, distributed services, etc.), is proposed. Based on the collection of various Inter-Cloud use cases and scenarios within the private and public sector like DMTF (Distributed Management Task Force), NIST (National Institute of Standards and Technology), GICTF (Global Inter-Cloud Technology Forum) and ENISA (European Network and Information Security Agency) we analyzed and summarized the range of requirements for security management. As these requirements are not yet fulﬁlled by current security management approaches, we derived a set of security management areas that describe all identiﬁed functional aspects. This set will serve as a foundation of our future development towards a security management architecture for the Inter-Cloud.
Physiotherapists' views and experiences of health literacy in clinical practice.

OBJECTIVE Using a qualitative design, this study aimed to explore the experience of physiotherapists' supporting patient health literacy in clinical practice, gain an understanding of their conceptualisation of health literacy, and make recommendations for improving health literacy support in clinical practice. METHODS Convenience sampling via social media was used to recruit eight participants who were all physiotherapists practicing in the United Kingdom. Semi-structured interviews took place on Zoom during the second Covid-19 lockdown. Interviews were audio-recorded, transcribed, coded, and thematically analysed to uncover physiotherapists' views on health literacy, experiences of supporting patients with health literacy and opinions and recommendations for practice. RESULTS Of the eight participants, five were female and the mean years of clinical experience as a qualified physiotherapist was 5.8. Four main themes were identified: physiotherapists' conceptualisation of health literacy, identification of health literacy and skills required to support patients, training and barriers to providing health literacy-sensitive care and recommendations for improvement. CONCLUSION The findings highlighted that physiotherapists identified a patient's health literacy abilities by picking up tacit clues throughout their consultations and they pre-dominantly viewed health literacy as the ability to read, write and communicate effectively. They reported having a limited exposure to health literacy training and recommended raising awareness and education as key to improve practice.
Assessing Drivers’ Mental Model Of Advanced Driver Assistance Systems Using Signal Detection Theory

Previous studies evaluated drivers’ knowledge of advanced driver assistance systems (ADAS) using different kinds of percent-correctness-based mental model scores (MMS), which makes cross-study comparisons difficult. To resolve this issue, our study explored the use of sensitivity (i.e., d-prime (d’)) and response bias (i.e., criterion location (c)) in signal detection theory (SDT) as a measure of drivers’ ADAS mental models. Based on the data collected from a survey among 287 ADAS users, regression models were fitted, and it was found that d’ and c accounted for a large variance when estimating drivers’ ADAS mental models as measured by MMSs (adjusted R2 > 0.8). Further, predictors of MMSs were also predictors of d’ and c, but d’ and c include additional information that was not covered in MMSs. These findings support the usage of d’ and c as standard metrics for assessing drivers’ ADAS mental models in future research.
Applications and Applied Mathematics: An International Applications and Applied Mathematics: An International Journal (AAM) Journal (AAM)

In this paper, we study a continuous-time single server queueing system with an infinite system of capacity, a two-stage vacation policy with imperfect service, setup, breakdown, delay time, phase-type of repair and customer reneging. The Markovian Arrival Process is used for the arrival of a customer and the phase-type distribution is used when offering service. This encompasses the policy of two vacations: a single working vacation and multiple vacations. Using the Matrix-Analytic Method to approach the system generates an invariant probability vector for this model. Henceforth, the busy period, waiting time distribution and cost analysis are the additional findings. The indicators are secured as a result of this performance. The outcomes result of numerical order can be graphically interpreted in the form of 2D and 3D.
A Portfolio of Case Studies using the Mungo and StMungo Protocol Typechecking Toolchain

Modern computing relies heavily on the use of communication to build large, complex distributed and concurrent systems. Developers creating these systems must ensure that their programs correctly follow the appropriate communication protocols in order to function properly. The incorporation of protocol typechecking tools into object-oriented programming languages has seen a wealth of research in recent years; one such example being the Scribble-StMungo-Mungo toolchain. It utilizes the theory of session types and typestate to provide static typechecking, helping programmers to build robust, communication-safe systems. Scribble is a language that can be used to represent the structure of multiparty communication protocols and project local protocols onto each participant. StMungo uses Scribble local protocols to generate typestate specifications and a corresponding Java API. Mungo statically typechecks any code that follows a typestate specification to ensure it is being followed correctly. This project serves as a simple, practical introduction to the Scribble-StMungo-Mungo toolchain and the theory of session types on which it is based. The project contributes to the Mungo website by providing a portfolio of three simple protocol examples – Travel Agent, Bookstore and Adder – which do not require an in-depth understanding of real internet protocols. Each example starts with a Scribble global protocol and describes the complete toolchain workflow, plus a video walkthrough of the step-by-step use of the tools. The portfolio can be used as a teaching tool that will benefit anyone wishing to learn how to use these typechecking tools and understand the theories they are based on.
Effect of Auricular Acupressure on Quality of Life in Postmenopausal Women: A Randomized Clinical Trial

Background & aim: Menopause is associated with early and late complications that affect menopausal women's quality of life. Based on evidence, acupressure could increase the quality of life. This study investigated the effect of auricular acupressure on quality of life in postmenopausal women. Methods: This single-blind three-arm randomized clinical trial was conducted on 107 postmenopausal women referred to an Acupuncture Center in Mashhad, Iran in 2020. The patients were randomly allocated to three groups. In the intervention group, participants received ear seeds attached to an adhesive material on specific points on both ears. In one control group, participants received ear adhesive without seed and acupressure, on the same points as the intervention group. For the other control group, routine care was given. After four weeks, the quality of life questionnaire for menopause (MENQOL) was completed. Data were analyzed with SPSS software version 16 using Kruskal-Wallis, Mann-Whitney, and Wilcoxon tests. Results: The average quality of life in the three groups did not show any significant difference at the beginning of the study (p=0.798). After four weeks, the quality of life in the acupressure group was significantly improved (p=0.002) compared to the two control groups. The average quality of life changed from 92.48 ± 21.88 to 73.77 ± 16.74 (p<0.001). However, there were no changes in the ear adhesive without seed group (p=0.67) and group with routine care (p=0.059). Conclusion: The auricular-acupressure technique can be applied as a simple, effective, and non-invasive alternative method for enhancing quality of life during postmenopausal period.
Estimating snow accumulation and ablation with L-band InSAR

Snow is a critical water resource for the western US and many regions across the globe. However, our ability to accurately measure and monitor changes in snow mass from satellite remote sensing, specifically its water equivalent, remains a challenge. To confront these challenges, NASA initiated the SnowEx program, a multi-year effort to address knowledge gaps in snow remote sensing. During SnowEx 2020, the Uninhabited Aerial Vehicle SAR (UAVSAR) team acquired an L-band Interferometric Synthetic Aperture Radar (InSAR) data time series to evaluate the capabilities and limitations of repeat-5 pass L-band InSAR for tracking changes in snow water equivalent (SWE). The goal was to develop a more comprehensive understanding of where and when L-band InSAR can provide SWE change estimates, allowing the snow community to leverage the upcoming NASA-ISRO SAR (NISAR) mission. Our study analyzed three InSAR image pairs from the Jemez Mountains Basin, NM, between 12–26 February 2020. We developed a snow-focused multisensor method that uses UAVSAR InSAR data synergistically with optical fractional snow covered area (fSCA) information. Combining these two remote sensing datasets 10 allows for atmospheric correction and delineation of snow covered pixels within the radar swath. For all InSAR pairs, we converted phase change values to SWE change estimates between the three acquisition dates. We then evaluated InSAR-derived retrievals using a combination of fSCA, snow pits, meteorological station data, in situ snow depth sensors, and ground-penetrating radar (GPR). The results of this study show that repeat-pass L-band InSAR is effective for estimating both snow accumulation and ablation with the proper measurement timing, reference phase, and snowpack conditions
DIGITAL BRANDING: AN EMPIRICAL STUDY WITH SPECIAL REFERENCE TO E-COMMERCE STARTUPS

Advent of new technology, media and tools are rapidly reshaping the traditional ways of branding. Branding is the challenge for any of the e-commerce start-ups. This paper aims to highlight the digital branding practices of e-commerce start-ups and study its impact on the consumer buying behavior. A primary survey was conducted in Pune city using a structured questionnaire among 380 consumers who have purchased online. The exploratory factor analysis technique was deployed to identify the antecedents contributing to the digital branding of the e-commerce start-ups. Multiple Linear regression technique was used to understand the impact of the digital branding practices of the e-commerce start-ups on the consumer buying behavior. The results and findings clearly show that there exists a significant impact of the digital branding practices on the consumer buying behavior. This study attempts to interweave the disciplines of digital branding and consumer buying behavior, a crucial activity for the survival of e-commerce start-ups, given their lack of resources, financial cost constraints and the fundamental need to find and maintain clients. The significant contribution of this paper is that it provides a basis for conceptualizing a model of digital branding practices for the e-commerce startup firms performing under dynamic and competitive global environments.