Miracle-dz/UniFAR-FTUs huggingface dataset:
Professional Quality of Life: An Examination of Compassion Fatigue and Compassion Satisfaction in Athletic Trainers

Context: Compassion Fatigue is prevalent in many health care professions; however, prevalence in athletic trainers have not been examined. Given the high rate burnout and excessive demand placed upon those employed in athletic training profession, there is a need to examine the overall professional quality of life in order to identify compassion imbalances that may affect both patient care and personal well-being. Methods: A total of 293 clinically active National Athletic Trainers’ Association (NATA) members (33.4% male, 66.6% female) completed a demographics questionnaire along with the Professional Quality of Life-21 (ProQOL-21) survey provided via Qualtrics online software. Descriptive statistics were used to determine the prevalence of the professional quality of life scales including compassion satisfaction and compassion fatigue, and a Pearson’s Correlation was conducted to examine the relationship between these two factors. Results: More than half the participants (55.3%, n = 162) experienced an average level of compassion fatigue, while another 25.6% (n = 81) of participants were categorized as experiencing high compassion fatigue. Similarly, half of the participants (53.6%, n = 157) experienced average compassion satisfaction. The bivariate correlation analysis indicated a significant, negative relationship between compassion fatigue and satisfaction, r = . 377, n = 293, p = . 001. Conclusions: Athletic Trainers experience average satisfaction in their clinical compassion when providing care to patients; however, compassion fatigue is also prevalent in this profession. Additional research is warranted to further investigate this relationship in athletic training and examine both prevention and causes of compassion fatigue. Word Count:250
12 Abela.cdr

This study generally aimed to assess the effect of supplementation with various levels of a novel product containing probiotic and yeast cells, a feed enzyme, short-chain oligosaccharides, and herbal extracts (Farmer Peck's Performance Booster®) and the use of halothane free gene semen on two successive parities in sows in selected farms in Leyte. Randomized complete block design (RCBD) with treatment used in T (in-feed antibiotics, 0g probiotic/kilogram 0 feed and AI using semen from farm's boar); T (0 antibiotics, 2g probiotic/kilogram 1 feed and AI with halothane free gene semen) and T (0 antibiotics, 3g 2 probiotic/kilogram feed and AI with halothane free gene semen). The study results showed that sow-litter performance of artificially inseminated sows using halothane free gene semen in two farrowing seasons was significantly higher in T 1 and T groups than that of T group as affected by probiotic supplementation. 2 0 Probiotic supplementation, both at 2g kg (T ) and 3g kg (T ) of feed is effective in -1 -1 1 2 improving both litter and sow performance. The cost of using halothane free gene semen for AI is less as compared to using semen from the farm's boar, and the cost of using probiotic at two levels as feed additive is relatively lower than using antibiotics based on the pre-weaning mortality, litter size, and litter weight at weaning. The use of halothane free gene semen can now be widely used in the different piggery farms. Including the use of probiotic supplement for both the sows and piglets.
Managing Persistent Signals using Signal Classes

Persistent signals provide a convenient abstraction for timevarying values with their execution histories by implicitly leaving the management of execution histories to the database system. The current design of persistent signals is very rudimental. For example, they do not provide abstractions for representing complex data structures, and they can only be connected using API methods prepared in advance. To make matters worse, dynamic creation of persistent signals is not allowed. In this paper, we show that these problems can be addressed by introducing a new language mechanism called signal classes. A signal class packages a network of related persistent signals that comprises a complex data structure. A signal class can be instantiated dynamically, and this instance is considered a “small world,” where all signals within it are synchronous. We further show that this synchronous world makes it easy to realize persistent signal networks connected by expressions that are not limited to the API methods. This dynamic creation of signal class instances is managed by a simple lifecycle model where both dynamic lifecycle events and persistency are defined.
Ripening Conflict in Civil Society Backchannels: The Malian Peace Process (1990–1997)

The successful resolution of the internal conflict between the ethnic Tuareg and Arabs of northern Mali and the Malian government represents a rare case of successful conflict management of an internal violent conflict in Africa. The root cause of the conflict, the political marginalization of the North, was resolved by the 1992 National Pact (Storholt 2001). Analysis of the Malian case illustrates the value of civil society actors and other unofficial closegovernment actors as insider mediators in track-two negotiations during the pre-negotiation phase. Their value is measured in terms of their success to establish track-one negotiations between the official conflict parties with overlapping win-sets. This research paper argues that the insider mediation and advocacy of the Malian civil society and close-government actors, between rebel groups and the government, were the decisive factors for the successful ripening of the conflict. This argument is illustrated by showing how these actors pushed the conflict parties through backchannels to fruitful negotiations. They achieved this by 1. ) decisively helping to build coherence in the negotiating positions in the pre-negotiation phase; 2. ) shaping the perceptions of the conflict parties of a “Mutual Hurting Stalemate” (Zartman 1991, 307); and 3. ) signaling the existence of “Mutually Enticing Opportunities” (Zartman 2008, 232). Thereby, they generated a feasible overlapping win-set (Putnam 1988, 438) and finally pushed both sides into the commitment to negotiations.
Feature Subset Selection Approach Based on RFE-SVM For Cancer Classification

The data analysis can be many different points of views from many researchers. New method is evaluated for variable subset relevance with a view to variable selection. The new criteria are derived from support vector approach based on classification problems. This search can be efficiently performed by minimizing the generalization error. Selecting a small subset of features variables not only improves the efficiency of the classification algorithms but also improve the cancer classification accuracy. The process of building classifier is divided into two components (i) selection of variables features (i .e genes) (ii) selection of classification method. This study indicates that the classification problem is more difficult than the binary one for the gene expression data sets. This new method is related to structural risk minimization and thus leads to good generalization. The proposed method is compared to some standard feature selection method with real data sets. This method is computationally efficient with better classification performance.
Investigation of the effect of autoverification on hematology laboratory workflow

20 Int J Med Biochem itative criteria that should trigger the microscopic examination of a blood smear. These practical recommendations aim to provide added clinical value to the physician prescribing a hemogram [5]. High test-rejection rates and test repetitions affect lab workflow and result in time wasted and increased test turnaround time (TAT). The aim of this study was to evaluate the effect of an autoverification process on the TAT and the rates of test rejection and repetition using a recently installed hematology analyzer. Materials and Methods The study was carried out in the core laboratory of İstanbul Kanuni Sultan Suleyman Training and Research Hospital. We used GFHC rules and Sysmex XN9000 series middleware (Sysmex Corp., Kobe, Japan) for the autoverification process. The middleware reports on 21 parameters in the pre-analytical and analytical phases, and then verifies the result or redirects the result to the specialist. After an initial 6-month study in 2018, outpatients were included in October 2018, and then all patient groups (inpatients and emergency department) were added on January 1, 2019. The rates of test rejection and test repetition as well as the TAT of the 3 months preceding hematology analyzer autoverification were compared with those of a 3-month period once all patients were included in the process. The duration of complete blood count (CBC) test analysis beginning with laboratory acceptance through result verification as well as test rejection and repetition rates were evaluated. Body fluid analysis and cell counts were excluded. All of the study data were obtained from the laboratory automation system. Statistical analysis was performed using SPSS Statistics for Windows, Version 17.0 (SPSS Inc., Chicago, IL, USA). SPSS frequency analysis was used to compare data before and after autoverification and analyze efficiency. A hypothesis verification t-test was applied to determine if the change in test completion time decreased randomly or systematically and if the change before and after the implementation of autoverification was statistically significant. The variation in the data before and after autoverification was considered to be significant with a p value of <0.05 at a 95% confidence interval.
Innovative Assistive Technology used in Analysis and Treatment of Autism Spectrum Disorders

Introduction The present paper addresses various innovative assistive technology used in diagnosis and treatment of pervasive developmental disorders such as autism. Autism is a developmental disability that is usually noticeable the present paper addresses various innovative assistive technology used in diagnosis and treatment of pervasive developmental disorders such as autism. Autism is a developmental disability that is usually noticeable in the early stages of life preferably in the age groups of one to three years. The common impairments found in the autistic communities are social interactions, communication, controlled interests and recurring behavior, etc. The cause for autism is still mysterious. Scientists are working to find out various factors that cause autism. Some of them believe that the changes in environment and genetics might be the key cause. Till now there are no suitable medicines or treatments to cure autism, but using appropriate therapies such as applied and verbal behavioral analysis the impairments of autistic children could be eliminated or reduced to an extent. Related Work In this subsection, a list of related works will be briefly described. Gregory D. Abowd, Julie A. Kientz[1] working at Georgia Tech has paying attention on sustaining persons with autism and their caretakers by means of computing tools. They have designed two applications to assist a group interact with autistic kids. The first tool called CareLog, which is a portable application for recording behavioral information in familiar location that allows caretakers and teachers to grasp moments on tape. Children’s with autism may show signs of certain behaviors that might be troublesome or dangerous to themselves or others. To understand the cause of these behaviors they have introduced a mechanism called Function Behavior Assessment (FBA). Generally caregivers note down behavioral incident of a child with autism for few weeks, later these data is analyzed by behavioral specialist to determine the behavior function. But incident might occur at unpredicted times and place, so caregivers may feel difficult to note down these behavior. To help caregivers document and analyze unpredictable incidents, a prototype model is designed by Julie A. Kientz & their colleagues called CareLog. For detecting the self-stimulatory behaviors of autistic child they have used wireless body worn sensors. Caregivers provided with a wireless key to activate archiving.
Influential factors on customer loyalty in bank industry

One of the most cited concepts in marketing literature is customer loyalty. many researchers have investigated different aspects of this concept and there is a rich marketing literature in influential factors on customers loyalty. the aim of this study is to probe a new dimension of this concept and to see the effect of relationship marketing on it.This research assesses impact of relationship marketing strategies including commitment, trust, communications, and conflict management on the loyalty of Bank Keshavarzi and Saman Bank’s customers. Research methodology, in terms of research purpose, is of applied type, and in terms of data gathering, of descriptive-survey type. Statistical population of this research includes 260 customers of the private bank Saman Bank and the state-owned bank Bank Keshavarzi within the city of Tehran. The sample, using random sampling methods, was selected. The constituents were prepared based on Likert’s 5-optional Scale. The constituents’ validity was calculated based on content validity and its reliability was calculated based on Cronbach Alpha, and the data were analyzed using T-test. Research results indicate a direct and significant relationship of commitment, trust, communication, and conflict management with customers’ loyalty in the both banks (p < 0.000). In addition, the research findings suggest that the variable communications with both banks is ranked in the first place and is of a high importance, and in the state banks, the variables conflict management, commitment and trust are respectively ranked next. In the private bank Saman Bank, the variables affecting customers’ loyalty are prioritized as follows: communication, commitment, conflict management, and trust. © 2014 Elixir All rights reserved ARTICLE INF O Artic le hi story: Received: 14 January 2014; Received in revised form: 20 May 2014; Accepted: 30 May 2014;
Asymmetric Impact of Exchange Rate to İstanbul Stock Market: A Nonlinear ARDL Approach

The stock market plays an important role for financial organizations and portfolio managers in the modern economics. volatility in stock market return is one of the essential tools between lenders and borrowers that help them to assessing the risk of portfolios and predicting return of future investment’s income. This paper investigates the relationship between the stock market and exchange rates of Turkey. BİST100 index is employed as a proxy for stock returns and US$/TL and EURO/TL (currency rate of Turkish Lira against US Dollar and EURO) are considered for exchange rate exposure. The series are on monthly data over the period 2008m10- 2021m03. We use NARDL and ARDL mythology of time series model to determine the short-run and long-run impacts of the exchange rates on İstanbul Stock Market. Our findings indicate that there is relationship between both exchange rates (US Dollar and EURO) and stock returns. This relationship is positive, asymmetric and statistically significant for both long and short run.
Nonstoichiometry in Bixbyite-Type Vanadium Sesquioxide

Recently, a metastable bixbyite-type polymorph of vanadium sesquioxide V2O3 has been synthesized from vanadium trifluoride. During the preparation, a very low oxygen partial pressure was necessary to prevent oxidation to higher valent vanadium oxides. In order to provide a quantitative description of the oxidation process, periodic quantum-chemical calculations at density-functional theory level were performed to study the thermodynamics of oxygen incorporation into bixbyite-type V2O3. Different defect structures for nonstoichiometric phases with the general composition V2O3+x are discussed, obtained either by removing single atoms from their respective lattice positions or by introducing additional atoms into empty lattice sites. We show that the stoichiometric phase is likely to incorporate excess oxygen into the empty 16c Wyckoff position under ambient pressure. Taking into account the equilibrium of nonstoichiometric phases with the gas phase, we arrive at an estimate of 10–17 bar for the oxygen parti.
1 The number of perfect matchings

A real matrix is doubly stochastic if all its elements are nonnegative and every row and every column sums to 1. The following result says that the minimal permanent over all doubly stochastic matrices is attained by the uniform matrix; that is, the matrix with 1/m in each position. It was posed as a conjecture by van der Waerden1 [24] and it took half a century till it was proved, independently, by Egoryčev [5] and Falikman [6].
Design and Development of Integrated Stationary Cycling Charger for Promoting Healthy Lifestyle 2967

A powerful smartphone with all the high-end features has becomes one of the basic necessitie in today’s modern life. People use the smartphone not only for communication purpose, but for other things such as entertainment, education, and work. As our life has becomes very much dependent on this kind of technological gadget which makes everything easier and faster to access, it becomes a main reason for our lack of daily physical activities which poses potential health issues such as obesity, high cholesterol level and high blood pressure. Despite various brands and models of a smartphone, one thing in common is the use of battery to power the device, where it needs to be recharged over time. The movement of wheel with a motor installed able to generate electricity thus powering the battery. In this research, the enjoyable and healthy activity of cycling is further upgraded to become what is known as a “cycling charger” as a way of promoting a healthy lifestyle within the community. It focuses on the conceptual design and prototype development of a stationary cycling charger which can be located everywhere within the public area for easy access and usability. The specification and parameters of the cycling charger are determined based on the average potential users, including the electrical capacity and device protection. It is then followed by the modelling and simulation works using a software to determine the feasibility before proceeding to the prototyping stage where all the designed circuitries are fabricated and integrated with sensors and microcontrollers for processing information and providing user interface. Lastly, several measurement and operation verification are conducted to ensure a satisfactory operation of the developed cycling charger. It is verified the developed prototype can be operated at a minimum cycling speed a low as 8 km/h which is good for wide range of user with different cycling ability. Its size which is basically based on the available stationary cycling exercise platform and together with an independent battery supply for all its operation make it easier and flexible to be installed within the public area.
Diabetes Diagnostic Model Based on Truth-value Restrictions Method using Inference of Intuitionistic Conditional and Qualified Fuzzy Propositions

Diabetes is a challenging problem nowadays. Not only in India, but it also spreads over worldwide, In the present research paper a novel scheme based on intuitionistic fuzzy propositions to explore the knowledge base rule system with uncertainty has been developed and for the extension of fuzzy propositions to the domain of factors causing diabetes. In this paper, we have constructed the conditional and qualified intuitionistic fuzzy proposition mathematically for the diabetes diagnostic model. We have also developed an algorithm for Truth-value restriction method using the conditional and qualified intuitionistic fuzzy proposition;with the help of developed algorithm for truth-value restriction method we will give a scheme to check this severity of the diabetes. Numerical computations have also been carried out to demonstrate our approach.
Living , Working and Learning Beyond Technology ETHICOMP 2 OO 8 * University of Pavia , Mantua , Italy 24 to 26 September 2008

We discuss aims and difficulties of formalizing ethical knowledge and reasoning by using either 'axiomatic' or 'situated' methods. We then present an approach, based on Machine Learning and Computational Logic techniques, to combine abstract ethical rules with empirical knowledge acquired by concrete experience, and to represent reasoning with rules that allow exceptions. A provisional conclusion of the paper is that, while computer ethics hardly seems to be computable in general, at least part of it may be amenable to a suitable computational formalization, so that the nature of the un-computable 'residue' might appear more clearly.
Zhike pingchuan granules improve bronchial asthma by regulating the IL-6/JAK2/STAT3 pathway

The present study aimed to investigate the effects of zhike pingchuan granules (ZKPC) on bronchial asthma and the underlying mechanism. A bronchial asthma mouse model was established by aerosol inhalation of ovalbumin. The changes in lung pathomorphology were observed by hematoxylin and eosin staining. The levels of IL-1β, TNF-α and IL-6 in bronchoalveolar lavage fluid (BALF) and serum were detected by corresponding ELISA kits. Levels of reactive oxygen species, malondialdehyde and superoxide dismutase in lung tissues were analyzed using corresponding kits. The expression of proteins related to apoptosis and the IL-6/janus kinase 2 (JAK2)/STAT3 pathway was detected by western blot analysis. The results showed that ZKPC significantly restored the dry/wet ratio and alleviated lung pathomorphology of bronchial asthmatic mice. In addition, ZKPC inhibits inflammation, oxidative stress levels and cell apoptosis in bronchial asthmatic mice and also suppressed the IL-6/JAK2/STAT3 pathway. Fedratinib (a JAK2 inhibitor) further strengthened the alleviative effects of ZKPC on bronchial asthma. In conclusion, ZKPC improved bronchial asthma by suppressing the IL-6/JAK2/STAT3 pathway.
circSLC6A6 Sponges miR-497-5p to Promote Endometrial Cancer Progression via the PI4KB/Hedgehog Axis

Background As a new kind of noncoding RNAs, circular RNAs (circRNAs) have been substantiated to be involved in multiple biological processes. Accumulating studies indicate that circular RNAs (circRNAs) regulate the development of cancers by acting as miRNA sponges. However, the role of circRNAs in endometrial cancer (EC) is rarely reported. This study was aimed at investigating the functional roles of circSLC6A6 in EC. Methods The qRT-PCR assay was performed to detect the circSLC6A6 expression in EC tissues and cell lines. The luciferase reporter assay was performed to explore the connection between circSLC6A6 and miR-497-5p as well as the connection between miR-497-5p and PI4KB. The colony formation assay, EdU assay, wound healing assay, and transwell assay were performed to examine the proliferation, migration, and invasion of EC cells. The in vivo assay was performed to reveal the function of circSLC6A6 in tumorigenesis. Results We found that circSLC6A6 was highly expressed in both EC tissues and cells. And circSLC6A6 promoted the proliferation, migration, and invasion of EC cells in vitro. In vivo, circSLC6A6 promoted tumor growth. Besides, a mechanistic study demonstrated that circSLC6A6 could regulate tumor-associated signaling PI4KB/hedgehog pathway by sponging miR-497-5p. Conclusion This study illustrates that circSLC6A6 plays a role in promoting EC progression via the miR-497-5p-mediated PI4KB/hedgehog pathway. Our study may provide a potential novel biomarker for EC diagnosis or treatment.