Miracle-dz/UniFAR-FTUs huggingface dataset:
Long-Term Athletic Development and Its Application to Youth Weightlifting

SUMMARY CONSIDERABLE CONTROVERSY AND MISGUIDED INFORMATION HAS SURROUNDED THE INCLUSION OF WEIGHTLIFTING WITHIN YOUTH-BASED STRENGTH AND CONDITIONING PROGRAMS TO DEVELOP STRENGTH, POWER, AND SPEED. THIS ARTICLE REVIEWS THE EVIDENCE TO SUPPORT ITS INCLUSION AS A SAFE AND EFFECTIVE MEANS TO ENHANCE ATHLETIC POTENTIAL. GUIDELINES ARE PRESENTED TO PROVIDE COACHES WITH A STRUCTURED AND LOGICAL PROGRESSION MODEL, WHICH IS ASSOCIATED WITH THE THEORETICAL CONCEPTS UNDERPINNING LONG-TERM ATHLETIC DEVELOPMENT. IT IS HOPED THAT THIS REVIEW WILL SERVE AS A USEFUL TOOL TO HELP STRENGTH AND CONDITIONING COACHES INTEGRATE WEIGHTLIFTING EXERCISES WITHIN TRAINING PROGRAMS OF YOUNG ATHLETES IN A SAFE AND EFFECTIVE MANNER.
Exploring the relationship between fraternal organizations and the University of Michigan: An organizational analysis

The purpose of this study was to explore the relationship between fraternal organizations and the University of Michigan and the implications for student affairs. This study was conducted by analyzing three distinct eras (two eras of politicization and one era of quiescence). Each era featured conflict between fraternal organizations and institutional actors (faculty, staff), and was analyzed to determine what, if any, implications there were for student affairs at the University of Michigan. The conceptual framework applied concepts from areas pertaining to conflict and organizational theory. Additionally, these concepts were informed by research about political organizations. The research method used was a case study method. The conflicts analyzed in this study were examined through an historical context in which they occurred. Data was collected through document and record analysis, collectively referred to as artifacts. Examples of records included items such as rosters, grade files, and meeting minutes. Additional evidence reviewed were letters, newspaper articles, case studies, and photographs. The relationship between fraternal organizations and student affairs provided multiple implications for educational leaders. The first is the importance of understanding the historical nature of conflict, how it evolves, and the cyclical nature of conflict. Through this understanding, student affairs professionals are conflict managers. The second implication is the significant role of student affairs professionals in managing conflict. Regardless of the job title of a student affairs professional, this study demonstrated that all student affairs professionals are conflict managers. Finally, this study explained how educational leaders can use conflict to expand the role of student affairs and its various sub-units. Periods of conflict may create conditions where educational leaders can request additional staff and resources to better manage conflict. FRATERNAL ORGANIZATIONS AND U-M v
Cleaning Uncertain Time Series Based on Random Walk Sampling

In the era of big data, there are many different data types, and time series data makes up a large portion of observational data. However, when using sensors to collect time series data, the observation values are not very accurate due to the quality of the sensors and the observation errors. So how to estimate true data from multiple uncertain sensors' observations has becoming a hot research topic in IoT and big data fields. Several data cleaning methods for time series have been proposed, but many of them have strong constraints. Intuitively, if two observations are close, their contributions to true data estimation should be similar. According to this idea, in this paper we propose a novel data cleaning and truth discovery method named RWTD for time series based on random walk sampling. Distances between observations are calculated to build a state graph, and random walk sampling is used to estimate the weights of data sources. True data is estimated as the weighted sum of observations. Experimental results demonstrate the effectiveness of our method.
Teaching Botany Using Bioinformatics Tools

Two laboratory activities are designed to reinforce several important concepts in General Botany course, which is a required course for biology majors at Savannah State University (SSU). The first activity requires students to study the relationship between protein structure and function through observing the 3D structure of Rubisco (ribulose-1,5-biphosphate carboxylase and oxygenase)—the enzyme that catalyzes the first step of the Calvin cycle for photosynthesis. This activity also helps students understand the mechanism of enzymatic action through examining the interaction of Rubisco with its cofactor, substrate, competitive inhibitor, and product. The second activity is designed to help students grasp the concept of plant evolution and phylogeny through analyzing the genetic sequences of Rubisco collected from representative species and determining the evolutionary relationships of these species using bioinformatics tools. Through these two laboratory activities, several important topics are linked together, with Rubisco as a common theme, so that students would develop a holistic and coherent view of plant sciences. Furthermore, students would also gain several important bioinformatics skills that they could use and apply in their future studies and careers.
Spatial-Social Place attachment: Impact of Spatial-Social Co-existence on Place Attachment in Sociable Places of Architectural Schools Setting; Case Studies: TABRIZ, Iran

The present study is focused on place attachment from environmental designers’ point of view. The study’s aim is to offer a helpful and practical model of place attachment for its audience; this is done using the Spatial-Social Place attachment(SSPa)model. Based on this model’s hypothesis, place attachment has two aspects: spatial and social; a purposeful and methodical (systematic) study of these two aspects produces reliable and practical results on the subject of place attachment for architects and environmental designers. To study and complete the proposed model, the writers selected architecture schools located in Tabriz as their behavioral settings. Based on the SSPa model, visual base systematic field studies, mental mappings, behavioral mappings, deep interviews, and direct observation of case studies were conducted. Ultimately, designing recommendations in the form of factors influencing place attachment in faculty’s gathering places are as follows: 1) physical form; 2) activities; 3) climate; 4) views and landscapes; 5) privacy; 6) elements and furniture; 7) places in the vicinity of a gathering place. By specifying the factors influencing place attachment in behavioral-social settings, the practical outputs of this study intended for designers and architects proved the validity and efficiency of the SSPa model.
Discovering Students’ Personalised Uses of a Paediatrics Acute Care E-book – a Qualitative study

This article was migrated. The article was marked as recommended. Background: Medical educators are increasingly developing and recommending e-books to supplement students’ learning. Despite this, there is a gap in the literature surrounding E-book developers’ understanding of how students can personalize an e-book for multiple different purposes. This qualitative research project aimed to explore students’ experiences of using a pediatric acute care E-book (pRRAPID) within a spiral, multi-method teaching package. The researchers aimed to get an insight into the ways that learners used E-books outside of the classroom. Methods: Three focus groups were conducted with 12 fourth-year medical students who had completed a pediatric acute care course. Students were invited to discuss their use of the E-book during the course. Thematic analysis was conducted on the transcripts to identify codes in the data; these were grouped to determine the overarching themes. Results: Students outlined five different ways that they personalized the use of the E-book. Three of these were related to uses of the E-book within the context of the pediatric acute care course; students using the E-book to prepare for a formal teaching session (“Flipped classroom“),students using the E-book as a workbook (going from start to end) and students using the E-book to prepare for an exam. The other two themes related to the use of the E-book outside of the acute care course; students using the E-book as a resource “on the go” and students using the E-book within clinical practice. Conclusions This qualitative study outlines how an educational resource can be utilized in numerous different ways in order to satisfy the needs of the student. Focus-group participants outlined how important it was to engage with the students, as the primary stakeholder, when developing an E-book.
Micro-Data Reinforcement Learning for Adaptive Robots

Les robots operent dans le monde reel, dans lequel essayer quelque chose prend beaucoup de temps. Pourtant, les methodes d’apprentissage par renforcement actuels (par exemple, deep reinforcement learning) necessitent de longues periodes d’interaction pour trouver des politiques efficaces. Dans cette these, nous avons explore des algorithmes qui abordent le defi de l’apprentissage par essai-erreur en quelques minutes sur des robots physiques. Nous appelons ce defi “Apprentissage par renforcement micro-data”. Dans la premiere contribution, nous avons propose un nouvel algorithme d’apprentissage appele “Reset-free Trial-and-Error” qui permet aux robots complexes de s’adapter rapidement dans des circonstances inconnues (par exemple, des dommages) tout en accomplissant leurs taches; en particulier, un robot hexapode endommage a retrouve la plupart de ses capacites de marche dans un environnement avec des obstacles, et sans aucune intervention humaine. Dans la deuxieme contribution, nous avons propose un nouvel algorithme de recherche de politique “base modele”, appele Black-DROPS, qui: (1) n’impose aucune contrainte a la fonction de recompense ou a la politique, (2) est aussi efficace que les algorithmes de l’etat de l’art, et (3) est aussi rapide que les approches analytiques lorsque plusieurs processeurs sont disponibles. Nous avons aussi propose Multi-DEX, une extension qui s’inspire de l’algorithme “Novelty Search” et permet de resoudre plusieurs scenarios ou les recompenses sont rares. Dans la troisieme contribution, nous avons introduit une nouvelle procedure d’apprentissage du modele dans Black-DROPS qui exploite un simulateur parametre pour permettre d’apprendre des politiques sur des systemes avec des espaces d’etat de grande taille; par exemple, cette extension a trouve des politiques performantes pour un robot hexapode (espace d’etat 48D et d’action 18D) en moins d’une minute d’interaction. Enfin, nous avons explore comment integrer les contraintes de securite, ameliorer la robustesse et tirer parti des multiple a priori en optimisation bayesienne. L'objectif de la these etait de concevoir des methodes qui fonctionnent sur des robots physiques (pas seulement en simulation). Par consequent, tous nos approches ont ete evaluees sur au moins un robot physique. Dans l’ensemble, nous proposons des methodes qui permettre aux robots d’etre plus autonomes et de pouvoir apprendre en poignee d’essais
A sense of belonging among Australian university students

ABSTRACT This study was designed to explore what students perceive as essential factors influencing their sense of belonging. Gaining insight into what students perceive as influencing their sense of belonging enables design of interventions to foster that sense of belonging. Two hundred and nine students from a university in Sydney responded to the question: ‘What would help you to feel that you belong at Macquarie University? ’ Results showed students most frequently identified people as instrumental in feeling that they belonged at university. Students also reported that places where there is respect, and where others are accepted, contributed to their feelings of belonging. Lastly, opportunities to interact with other students, such as within clubs, societies and at events, were reported by students to contribute to their feelings of belonging. Findings of the current study are discussed in relation to existing literature, to develop approaches that may enhance university students’ sense of belonging.
Ageing in organizations

Purpose This paper aims to show which factors influence the perception of human resources professionals about managers over 50 years old and which factors guide the age management practices adopted in the surveyed companies. Design/methodology/approach To this end, a survey was conducted with 140 companies accessed from a database of a human resources association. Through the answers obtained through the online questionnaire, an exploratory factor analysis was made with the aid of Software R. Findings Thus, it was possible to identify four factors that explain the work posture of professionals 50 years of age and older (company expectations, performance, morality and knowledge and professionalism) and three factors that guide the adoption of age management practices in organizations (recruitment & selection and integration, retention and continuity in the company, adaptation to the needs). Originality/value The results suggest that, even considering the high performance of older managers, perceived by HR professionals, the adoption of age management practices is still insufficient, making it difficult for these professionals to enter and remain in organizations. Moreover, it can be inferred that such posture indicates biases of discrimination and age stereotypes.
The Case of Omni-Channel Consumers. A Qualitative Study regarding Students’ Clothing-Consumption Habits

The article presents the result of a focus-group based qualitative study which was conducted among students from Cluj-Napoca, Romania, regarding their preferred places for clothing shopping. The analysis of the focus-group narratives revealed that students prefer to shop their clothes both from online sites and offline settings. The latter correspond not only to malls, but also for second-hand and outlet shops from where students can acquire their outfits at lower prices and can buy more items than from the more pricey malls.Thus, second hands can be associated with consumerism rather than with frugal consumption. Each of the three locations, i.e. online shops, malls and second-hands/outlets serve not only as places for effective shopping, but also as places where students are doing amateur market research, either in the form of webrooming (i.e. browsing the websites) or in the form of showrooming (i.e. looking out in malls or second hands). Both of these activities are forms of entertainment and information acquisitions regarding the trends, prices, sales, etc. The results reveal the case of omni-channel consumers who mix between different sites of shopping.
Rocket Self-learning Control based on Lightweight Neural Network Architecture Search

Aiming at the problem that the traditional control law design process is complex and relies heavily on accurate mathematical models, this paper uses the Deep Deterministic Policy Gradient (DDPG) reinforcement learning to realize the self-learning of continuous motion control law. However, since the performance of the DDPG algorithm depends heavily on the hyper-parameters, there is no clear design basis for the Actor-Critic framework neural network architecture. Considering that the reinforcement learning requires a large amount of computation, the repetitive manual trial and error of hyper-parameters greatly reduces the design efficiency of the algorithm and increases labor costs. On the basis of converting the network architecture design problem into a graph topology generation problem, an automatic search and optimization framework for deep reinforcement learning neural network structure is given in this paper, where the graph topology generation algorithm based on LSTM recurrent neural network, the weight sharing-based lightweight training and evaluation mechanism of deep reinforcement network parameter, and the policy gradient-based learning algorithm of graph topology generator parameter are innovatively combined. Thus, the neural network hyper-parameters in the DDPG algorithm are automatically optimized, and the control law is obtained by self-learning training. Finally, taking rocket vertical recovery control as an ex-ample, the effectiveness of the proposed method is verified.
The effect of servant leadership on healthcare employee psychological safety and employee behaviours that lead to job thriving and performance

Purpose: There has been increasing attention in the media regarding the job pressure of nurses and the shortage of nurses in healthcare. The aim of this research was to examine nurses, from different Dutch hospitals, perceptions of psychological safety. We wanted to see if certain behaviours occur among these nurses in term of their perception of psychological safety in their workplace. Ultimately we wanted to see if the servant leadership style of the team leader has an effect on the psychological safety of nurses and if so, what kind of behaviours and do these result in thriving and job performance. Design/methodology/approach: Five different Dutch hospital teams were analysed for this study. We used a mix-method approach; individual interviews were held among the team leaders (n=5), an observation was done during the regular staff meetings (n=5); and there was also a survey for the team leaders and the nurses (n=81). Findings/practical recommendations: The results show that servant leadership has an effect on psychological safety and thriving of employees. Additional behaviours were found to be related to psychological safety like voice, back-up and innovative work behaviour. The results also show that the nurses seem to be under serious work pressure. These findings were supported by the interviews and the naked-eye observations we made in this study. Limitations: For this research we had a small sample size. Due to the shortage of nurses in the hospitals most teams did not want to participate in this study. Reasons were; lack of time and not wanting to give the nurses even more work to do by participating in the survey. Keywords: Servant leadership, psychological safety, voice behaviour, back-up behaviour, innovative work behaviour, job performance, thriving, health care, hospitals, nurses
Reading Skills in Deaf Subjects: Role of Psycholinguistic Factors and Global Influences in Affecting Reading Performance

The present study examined the role of psycholinguistic variables, as well as the presence of a global factor, in modulating reading speed and accuracy in individuals with a severe hearing impairment. Thirteen deaf and thirteen hearing young adults who completed high school and were proficient in both oral lipreading and Italian sign language were examined and compared to a group of control subjects matched for gender, age and education. A wide spectrum of psycholinguistic variables affecting reading were examined, marking visual (letter confusability), sub-lexical (length, grapheme contextuality), lexical (frequency, N-size, stress) and semantic (age of acquisition and imageability) processes. Vocal reaction times (RT) in reading aloud single words were slower in deaf participants with respect to hearing subjects but they were affected by psycholinguistic variables in a very similar way than in the case of controls. Moreover, deaf individuals did not show a multiplicative effect as a function of word difficulty in their reading slowness but only a constant delay. Overall, the deficit shown by deaf participants was relatively limited and not associated to specific cognitive processes. This finding is in keeping with the idea that at least some individuals with a severe hearing impairment may reach reasonably high levels of word decoding.
Towards Healing Ambiguous Grief with Nature-Based Expressive Arts Therapy, Embodiment, and Mindfulness: A Literature Review

There is an emerging trend of nature-based expressive arts therapy with a developing body of research. The current literature indicates that there are numerous nature-based approaches and that they can be effectively applied to many populations. Some of the benefits of nature-based therapy are shifts in physiology such as lowered blood pressure, heart rate, and decrease in stress, anxiety and depressive symptoms. The approaches of nature-based therapeutic work include mindfulness and meditation, animal-assisted therapies, farm and work-based therapies, horticulture therapy, and nature-based expressive arts therapy. There are many effective applications of these frameworks that have been studied and some that have not been explored yet. There is a small but growing body of research in nature-based expressive arts therapy approaches for dealing with grief and loss. This literature review suggests that nature-based therapies might be effective for healing ambiguous loss. This thesis will explore some of the current research on nature-based expressive arts therapy, research on ambiguous grief and some suggested areas for exploration of nature-based interventions for grief and loss. TOWARDS HEALING AMBIGUOUS GRIEF 3 Towards Healing Ambiguous Grief with Nature-Based Expressive arts therapy, Embodiment, and Mindfulness: A Literature Review
EDA and its Impact in Dataset Discover Patterns in the Service Sector

Data scientists in order to analyse and investigate data set manly use exploratory data analysis and this process help them to summaries the main characteristics of the data set. Scientists use data visualization method under EDA system to detect the best possible way to manipulate data set in order to get the required answers they might need. This process makes the work of data scientists easier while identifying “data pattern”, “spotting anomalies”, “testing hypothesis” and checking assumptions for the data set. EDA refers to the process, in which it can be analysed, what a data can reveal beyond any hypotheses testing and its formal modelling. EDA is effective for any data scientists to check the data set pattern before making any assumptions. The aim of this research is to develop idea regarding the use of EDA in order to discover pattern of large data set of the service sector of India and other countries. As per literature findings, it has been observed that EDA is used in different service sectors such as in insurance sector to analyse data, important to identify factors of claim filing. Different aspects of data visualization techniques under EDA system are developed in this research. Secondary data are collected in this research and data are interpreted with thematic analysis. As per the result, Data analysis with EDA is effective in service sector to discover any missing link and patterns before using it to any ML model. A flow-chart for exploratory data analysis process has been developed in this study to identify the required steps under this model. Moreover, it has been found that, EDA is used to analyse data of people's health in a hospital based on remote monitoring system.