Miracle-dz/UniFAR-FTUs huggingface dataset:
A model of dyadic trust: Turkish case

In this research, taking into account the multiplex nature of relationships in Turkey (i.e., the overlap of multiple roles in a work relationship), a model of coworker trust incorporating universal as well as culturally salient antecedents, outcomes and moderators (i.e., relational self-construal and familiarity) was tested. Further, the role of reciprocity (i.e., responding to being trusted with trusting) was investigated. The research consisted of three studies. Initially, the proposed model of trust formation was reviewed with qualitative data from 22 employees working in large corporations in Istanbul. Then, using student samples, scales for trust, its antecedents and outcomes were developed or adapted and validated. Finally, the integrative model was tested with 135 student dyads using the Actor-Partner Interdependence Modeling (APIM; Kenny et al., 2006). In addition to validating the two-dimensional conceptualization of trust consisting of affect-based trust (ABT) and cognition-based trust (CBT) these studies revealed that personal manifestations of benevolence influenced ABT, which extended to willingness to be vulnerable in the non-work domain. Also, findings demonstrated that ABT results in relational promotion and relational accommodation (i.e., complacency and conflict avoidance), which may lead to compromising performance norms. ABT was also shown to cause emotional strain whereas CBT alleviated it. Reciprocal effects were found as being perceived benevolent increased ABT and being affectively trusted increased relational promotion behaviors. Finally, the positive relationship between trustor's ABT and conflict avoidance was stronger when trustors had a relational self-construal.
Criteria for Supplier Selection in Textile and Apparel Industry : A Case Study in Vietnam

The study aims to investigate some criteria of supplier selection in the textile and apparel (T&A) sector in Vietnam. Most research on supplier selection criteria for T&A sector was mainly conducted based on the review of literature. Therefore, the purpose of this study is to explore these criteria based on a framework in which an integrated approach of qualitative and quantitative was employed. First, an in-depth interview was used to explore what supplier selection criteria T&A companies were utilized after the literature on supplier selection criteria had been reviewed. Next, a prequestionnaire was built and sent to some practitioners and experts for their revision. Then, a pilot survey of 31 T&A companies with numerous statistical tests was conducted to validate the questionnaire. Finally, an official study of 282 respondents was conducted to determine supplier selection criteria which are best suited for T&A companies through exploratory factor analysis. The findings of the study suggest that there are eight supplier selection criteria including Quality, Cost, Delivery, Service, Capability, Company’s image, Relationship, and Sourcing country. Each criterion comprises certain sub-criteria to make the supplier selection criteria set more comprehensive. The findings will be a contribution to the selection process of T&A companies as they can utilize these criteria to select capable suppliers.
Neural Networks and Arbitrage in the VIX – A Deep Learning Approach for the VIX

The Chicago Board Options Exchange (CBOE) Volatility Index, often referred to as VIX Volatility Index (VIX), is considered by many market participants as a common measure of market risk and investors' sentiment. It is also sometimes called the fear index. In general, the VIX represents the market's expectation of the 30-day-ahead looking implied volatility obtained from real-time prices of options on the S&amp;P 500 index. <br><br>Over the last few years, many claims about possible VIX manipulations have been brought up by market participants. The increased attention on the VIX has been revived again by unusual trading patterns, which were observed on the market, on February 5 and April 18, 2018. <br><br>While smaller deviations between implied and realized volatility are a well-known stylized fact of financial markets, large, time-varying differences are also frequently observed throughout the day. In theory, such large deviations might lead to arbitrage opportunities on the VIX market. However, it is hard to exploit as the potential replication strategy requires buying several hundred out-of-the-money (put and call) options on the S&amp;P 500 index. In addition, the potential list of options used for building the replication strategy constantly changes due to underlying price movements, making it difficult to implement it in real-time. Finally, in most cases, the theoretical replication strategy involves high transaction costs which are driven by illiquid options. <br><br>This paper discusses a novel approach to replicating and predicting the VIX by using just a subset of the most liquid options. The presented approach is based on a recurrent neural network, more precisely on a long short-term model (LSTM) and it uses intraday data of S&amp;P 500 options and the VIX. The results can be used to find a much more cost-efficient way of replicating the VIX and exploiting any arbitrage opportunities. <br><br>To the best of the authors' knowledge, this the first paper, that describes a new methodology on how to replicate the VIX (to potentially exploit arbitrage opportunities using VIX futures) and applies most recently developed machine learning models to intraday data of S&amp;P 500 options and the VIX. The presented results are supposed to shed more light on the ongoing discussions about possible market manipulations, help other investors to better understand the market and support regulators to investigate market inefficiencies.
The Role of Major Hormones in Metabolic Adaptation of Farm Animals

Climate change has emerged as the major threat to the world economy. It has turned up to be the global phenomenon threatening the survival of many ecosystems worldwide. The increased concentration of Greenhouse Gases (GHGs) in the atmosphere causes the greenhouse effect, resulting in climate change. Heat waves will occur more habitually and last longer that leads to extreme precipitation and fluctuating weather conditions in many regions of the world [1]. Increased frequency of life-threatening events like cyclones, droughts, floods, tsunami, and wildfires are expected to happen in the changing climate scenario. Among the agricultural sector, crops and livestock are particularly vulnerable to the devastating effects of climate change ultimately deteriorating the agricultural production [2]. A stressor is a chemical or biological agent, environmental condition, external stimulus or an event that causes stress to an organism and an event that triggers the stress response. Temperature is one of the most important influences on the immune system of animals and Procedural stressors are handling, shipping and disease treatments [3].
Uma Nova Solução para Visibility Culling de Cenas Genéricas, baseada em Replicação, Heurísticas e Redução de Draw Calls

Graphics applications with visual quality and increasing levels of interactivity have been of fundamental interest. Within this context, visibility culling algorithms restrict the processing to the objects actually visible by the observer, speeding up the scene visualization. However, state-of-the-art solutions still require a high computational cost, do not scale in complex scenarios and are limited in generalization. In contrast, this work presents RHView, an innovative generic solution for static and dynamics scenes, which is based on a replicated space-partitioning structure and heuristics. RHView uses novel heuristics for rendering time estimation and balance between processing cost and triangle removal accuracy, while maintaining interactive frame rates, even in scenes with billions of triangles. It is the only solution currently available to reduce draw calls, one of the factors that have the greatest impact on graphics processing. Systematic tests have shown that RHView can be up to 2.8 times faster than the state-of-the-art algorithms.
A MODEL OF COMPLEX TRAVEL BEHAVIOR: PART II-AN OPERATIONAL MODEL

Based on the theoretical model of complex travel behavior developed in a companion paper (Reeker ef al., 1986), an operational system of models, STARCHILD (Simulation of Travel/Activity Responses to Complex Household Interactive Logistic Decisions), has been developed to examine the formation of household travel/activity patterns. The system employs a simulation approach in combination with techniques of pattern recognition, multiobjective optimization and disaggregate choice models. Initial empirical verification of the system of models is presented based on results obtained from a sample data set.
Workshop: Taking it to the Next Level...Game-Based Learning in Engineering Education

Cheryl A. Bodnar, Ph.D., CTDP is an Assistant Professor in the Department of Experiential Engineering Education at Rowan University. Dr. Bodnar’s research interests relate to the incorporation of active learning techniques in undergraduate classes as well as integration of innovation and entrepreneurship into the engineering curriculum. In particular, she is interested in the impact that these tools can have on student perception of the classroom environment, motivation and learning outcomes. She obtained her certification as a Training and Development Professional (CTDP) from the Canadian Society for Training and Development (CSTD) in 2010, providing her with a solid background in instructional design, facilitation and evaluation. She was selected to participate in the National Academy of Engineering (NAE) Frontiers of Engineering Education Symposium in 2013 and awarded the American Society for Engineering Education Educational Research Methods Faculty Apprentice Award in 2014.
6.892 Computing on Encrypted Data

So far, we have studied the problem of outsourcing computation when we want our data to be private from the server. Today, we will forget about privacy and focus on the problem of verifying that the server computes correctly for us. Specifically, we will look at decision problems. We consider the problem where we send the cloud x, and the cloud (efficiently) computes both f(x) as well as a proof of correctness. This is called delegation [2]. Definition 1. A (statistical) delegation protocol for a language L which is computable in time T is a protocol between a prover P and verifier V satisfying the following properties. 1. (Completeness) If x is in the language, the prover always succeeds. ∀x ∈ L,Pr [(P, V )(x) = 1] = 1
The Trailblazer Apprenticeship – Is this the magic bullet that will cure the skills deficit?

The relationship between higher education and employability is recognised but not always understood. There is a constant debate on how students acquire the right types of skills which will address the criticism levelled at the way graduate employability is measured. The UK government has introduced a policy which is attempting to address the shortage of skills in the UK through the degree apprenticeship. This has had a direct impact on the reshaping of the curricula in many higher educational institutions. The introduction of the apprenticeship degree is challenging the way higher educational institutions design and deliver educational provision through work-based learning. The introduction of this policy has been controversial as it has encapsulated many professional pathways, such as law, medicine and aerospace engineering. This now requires higher educational institutions to accommodate these professional degree pathways, whilst having little say in how they have been initially constructed. These professional apprenticeships have been overseen by the Institute of Apprenticeships, who work with various employer groups and professional bodies referred to as the trailblazers. They produce the standards needed for a range of professions. The use of work-based learning through the apprenticeship, as a model of learning, has traditionally been used in various countries in order to formalise a progressions of tasks that develop levels of competencies, skills and knowledge. The apprenticeship degree which is now linked with traditional pathways, such as qualifying as a lawyer has forced many higher educational institutions to overhaul their curricula and accommodate this pathway to qualify. In effect this this means that many UK higher educational institutions will need to collaborate with a range of stakeholders, such as employers and professional bodies who design the standards expected from degree apprenticeship pathways. This is a formula which will induce fundamental changes in the way higher educational provision is designed and delivered in the near future.
Update and Evaluate Vehicular Simulation Framework for LTE and 802.11p in OMNeT

Today, the car industry has become one of the greatest users of both wireless and cellular technologies and is increasingly dependent especially in the area of wireless communication. Communication among vehicles is offering a lot of benefits and has testified improvement on safety, efficiency and possible automation of the traffic. A lot of research has been focused on measurement campaigns, by investigating different situation for communication between cars in traffic. Lately, a hot topic is the simulation of the communication among cars and the environment. Therefore the focus of this thesis has been on advancing these simulation for IEEE 802.11p and Long Term Evolution (LTE) by performing updates with new modules and performance metrics. One contribution of this thesis is exploring the simulation framework for DSRC and LTE known as VeinsLTE and performing updates to capture various environmental effects. These modules capture the attenuation effects on signal power caused by buildings, vehicles and other factors. Adopting the framework with these modules has offered a wider range for simulation and comparisons. Another aspect that this thesis has been focused on is V2V channel models, which are based on realistic measurements and make it possible to overcome some limitations of the simulation in different regions. Computation of performance metrics such as delay and throughput has been achieved. These performance metrics offer another scope for analysis and comparisons among the technologies LTE and DSRC. Simulations will be focused on investigating different scenarios by covering various geographical regions such as intersections, roundabouts and highways. Comparison of the analysis results with realistic measurements results will given to the simulation results a strong validation.
Synthesis and application of photoproline - a photoactivatable derivative of proline

A convenient synthesis is described of a derivative of L-proline called photoproline, containing a diazirine group at position-4 of the pyrrolidine ring, starting from L-4-hydroxyproline. The use of Fmoc-L-photoproline in the synthesis of a cyclic peptidomimetic antibiotic demonstrates that this photoprobe can be incorporated into synthetic peptides using solid-phase Fmoc chemistry. Photoproline may be of wide value in the preparation of diverse peptide-based photoaffinity probes.
The structures underpinning vulnerability: examining landscape-society interactions in a smallholder coffee agroforestry system

Smallholder farmers dependent on rain-fed agriculture are particularly vulnerable to extreme climate events and, therefore, it is necessary to identify adaptive measures that would increase farmer resilience to these shocks. The management options in a low-input system, like forest coffee (Coffea arabica), are limited and there are several factors out of farmers’ control driving their vulnerability to changing climatic conditions. These can relate to social structures and landscape factors, which can interact to reduce farmers’ adaptive capacity, creating a state of contextual vulnerability. We explored the potential synergies of this interaction across elevation, patch area and shade management gradients for smallholder coffee farms around the UNESCO Yayu Coffee Forest Biosphere Reserve in Ethiopia before, during and immediately following the 2015/16 El Niño. We documented a dramatic collapse in coffee yields across all farms, resulting in coffee incomes 29.5% ± 18.0% and 19.5% ± 10.0% of 2014 incomes in 2015 and 2016, respectively. We identified farms at elevations between 1500 and 1600 m with canopy openness between 40% and 45% as being consistently low yielding over our study period. We found these farmers had the highest rates of income diversification and, therefore, were already exhibiting adaptive capacity. Farmers with the largest income losses were spatially concentrated between 1600 and 1700 m, located in larger patch areas with lower canopy openness. Farmers at this elevation have access to poor infrastructure, restrictions on shade management and reported higher dependence on income from coffee, indicating an interaction of biotic and social factors exacerbating their vulnerability. Unfortunately, due to a nationally declared state of emergency, we were unable to survey farmers on the adaptive measures they undertook; therefore, we are limited in assessing their resilience. However, we do show the importance of considering both biotically and socially-mediated influences for assessing smallholder vulnerability, particularly barriers to diversifying incomes.
RELATIONSHIP BETWEEN ADOLESCENT ATHLETES’ VALUES AND BEHAVIOR IN SPORT AND PERCEIVED COACH’S CHARACTER DEVELOPMENT COMPETENCY

Research background and hypothesis. This study examined the relations between reported youth athletes’ prosocial and antisocial behavior and personal and social factors in sport context and whether these variables accounted for age and sports experience differences in reported behaviors values in sport and perceptions of coach’s character development competency. The aim of the research was to determine age and sports experience differences in manifestation of youth athletes’ values in sport, perceived coach’s character development competency and behaviors that occur in sport, and to examine interrelations between these variables. Research methods. The sample included 201 athletes recruited from Kaunas and Alytus sports schools. The participants completed the Youth Sport Value Questionnaire-2 (YSVQ-2 Lee et al., 2008), the Prosocial and Antisocial Behavior in Sport Scale (PABSS – Kavussanu, Boardley, 2009), and adapted version of the Coaching Efficacy Scale (CES– Feltz et al., 1999). Research results. The positive correlation between values in sport, perceived coach’s character development competency and prosocial behavior of athletes were established. These values also had negative correlations with antisocial behavior whereas status values correlated negatively with prosocial behavior. Coach’s character development competency was perceived stronger by younger athletes (p < 0.05). Competence values were more important to these athletes compared to older ones (p < 0.05). Discussion and conclusions. Research revealed the importance of moral and competence values for adolescent athlete’s moral behavior in sport. Perceived character-development effectiveness positively correlated with athletes’ prosocial behavior; however, it was unrelated to antisocial behavior. Thus, perceiving the coach as being effective in instilling an attitude of good moral character may lead to an increased frequency of desirable behaviors but does not appear to have any effect on antisocial conduct. It was found that athletes’ prosocial acts were more frequent than antisocial ones, however, more experienced athletes displayed more frequent antisocial behavior to the teammates. These findings are consistent with the previous presumption that low frequency of engagement in antisocial behaviors does not necessarily mean that one frequently engages in prosocial action, or vice versa.
Circularly polarized rectangular dielectric resonator antenna fed by a flag shape microstrip line for wideband applications

A flag‐shaped microstrip line fed rectangular dielectric resonator antenna (RDRA) is introduced for producing wideband circular polarization (CP) fields and the proposed design utilizes two orthogonal modes TE111y and TE111x of the RDRA for the generation of CP fields. The improvement in the 3‐dB axial ratio (AR) bandwidth is observed from 16.45% to 58.36% by optimizing the antenna design parameters and by truncating three notches from the flag shape microstrip line. The designing, fabrication, and testing of the proposed antenna prototype has been done and it achieves 47.27% of broad 3‐dB AR bandwidth and 66.66% of wide |S11| bandwidth, respectively. The produced radiator is appropriate for WiMAX applications.
Significance of Bank Specific and Macroeconomic Determinants on Performance of Indian Private Sector Banks

A sound financial system has vital influence on the economic development of a country. Banking system constitutes an important component of the financial system of the country; therefore, the economic importance of banks may not be underestimated. Performance evaluation of the banking system is an effective measure and indicator to check the strength of financial system of an economy. The overall objective of the present study was to explore the influence of bank specific factors and macroeconomic factors on the performance of private sector banks in India. To examine the effect of external or macroeconomic factors, growth rate of GDP and average annual inflation rate were considered. For the analysis, seven year panel data of 20 private sector banks was analyzed using linear multiple regression model. The financial performance of banks was expressed by Return on Assets variable. Using multiple regression technique the analysis of sample data for the time period 2008-2014 revealed that except capital adequacy ratio variable all other bank specific variables (Asset Quality, Management Efficiency, Earning Quality and Liquidity) and macroeconomic variable gross domestic product had significantly influenced the financial performance of sample banks in India and inflation was statistically insignificant in case of its effect on return on assets. The implications of the study revealed that inspite of optimum capital adequacy ratio maintained by private sector banks, the other variables related with management and governance of banks had significant effect on the financial performance of the banks.
Abnormal hemostasis screening tests leading to diagnosis of multiple myeloma

Abstract Multiple myeloma (MM) is a rare malignancy, characterized by clonal proliferation of plasma cells, secreting monoclonal immunoglobulin. It is usually diagnosed based on histopathologic and immunophenotypic bone marrow examination. Abnormal results of screening coagulation tests, including prothrombin time, activated partial thromboplastin time and thrombin time, are commonly encountered in patients with plasma cell neoplasms. They do not, however, reflect bleeding tendency. We describe a 71-year-old patient who was accidentally diagnosed with multiple myeloma during coagulation diagnostics.