Miracle-dz/UniFAR-FTUs huggingface dataset:
THE EFFECT OF JOB STRESS, PERCEIVED ORGANIZATIONAL SUPPORT, AND TRAINING ON EMPLOYEE PERFORMANCE WITH ORGANIZATIONAL COMMITMENT AS MEDIATION AT BSI KC BANDA ACEH DAUD BEUREUEHI

This study was to analyze the effect of job stress, perceived organizational support, and training on employee performance either directly or indirectly through commitment in Bank Syariah Indonesia (BSI) Banda Aceh branch (BSI KC Banda Aceh Daud Beureueh I), located in Banda Aceh city, Indonesia. Respondents were determined by a census with a total of 126 employees, while the data analysis technique used was SEM. The result reveals that Job stress negatively affects commitment, perceived organizational support positively affects commitment, Training positively affects commitment, Job stress negatively affects performance, perceived organizational support positively affects performance, Training positively affects performance, Commitment positively affects performance, Job stress affects performance indirectly through commitment, perceived organizational support affects performance indirectly through commitment, and Training affects performance indirectly through commitment. These findings also explain that commitment acts as a partial mediator and a full mediator in the model. So these findings prove that the model of improving employee performance is a function of decreasing job stress, increasing perceived organizational support, increasing training, and increasing commitment.
Construction of Local Drug Delivery System on Titanium-Based Implants to Improve Osseointegration

Titanium and its alloys are the most widely applied orthopedic and dental implant materials due to their high biocompatibility, superior corrosion resistance, and outstanding mechanical properties. However, the lack of superior osseointegration remains the main obstacle to successful implantation. Previous traditional surface modification methods of titanium-based implants cannot fully meet the clinical needs of osseointegration. The construction of local drug delivery systems (e.g., antimicrobial drug delivery systems, anti-bone resorption drug delivery systems, etc.) on titanium-based implants has been proved to be an effective strategy to improve osseointegration. Meanwhile, these drug delivery systems can also be combined with traditional surface modification methods, such as anodic oxidation, acid etching, surface coating technology, etc., to achieve desirable and enhanced osseointegration. In this paper, we review the research progress of different local drug delivery systems using titanium-based implants and provide a theoretical basis for further research on drug delivery systems to promote bone–implant integration in the future.
Impact of BN and WC Particulate Reinforcements on Mechanical Properties and Damage Development of Al-2048 Metal Matrix Composites

The primary goal of this work is to evaluate how BN and WC particles affect the mechanical properties and damage development behaviours of aluminum alloy-2048. Heat treatments for composites are also being investigated to improve mechanical properties. Tensile experiments reveal that BN particle reinforcement outperforms WC reinforcement in strength and flexibility for composites. T4 treatment, rather than traditional peak-aging treatment, is recommended for the composites (T6). The particle size distribution in 10v% WC/Al-2048 is the best in the three composites with the largest size of 16 µm and 80% of particles are from 6 to 10 µm. Tensile tests illustrate that 15v% BN/Al-2048 composite demonstrates a 9 and 14% rise in its ultimate tensile stress and 28 and 120% increases in its elongation. T4 heat treatment with an additional 0.6 percent prestrain can produce composites with the same UTS and 0.2 percent proof stress as T6 treatment, but the ultimate elongation below T4 treatment is over 100 percent more than that under T6 treatment. To make sense of the test results, an observation of the damage evolution behaviors of the reinforcing particles provides a concept that the composites’ strength is primarily determined by the balance between the reinforcing particles sharing the load and creating strain discontinuity in the matrix. The fraction of broken particles in the 20v% WC/Al-2048 composite as a function of strain is much higher than that in the 15v% BN/Al-2048 composite. Because of their tolerance for substantial strain at the interface, maximum K1c, and moderate thermal extension, BN elements can share a lot of loads and provide more excellent reinforcement than WC particles in terms of composite strength and flexibility.
InDels Identification and Association Analysis with Spike and Awn Length in Chinese Wheat Mini-Core Collection

Diversity surveys of germplasm are important for gaining insight into the genomic basis for crop improvement; especially InDels, which are poorly understood in hexaploid common wheat. Here, we describe a map of 89,923 InDels from exome sequencing of 262 accessions of a Chinese wheat mini-core collection. Population structure analysis, principal component analysis and selective sweep analysis between landraces and cultivars were performed. Further genome-wide association study (GWAS) identified five QTL (Quantitative Trait Loci) that were associated with spike length, two of them, on chromosomes 2B and 6A, were detected in 10 phenotypic data sets. Assisted with RNA-seq data, we identified 14 and 21 genes, respectively that expressed in spike and rachis within the two QTL regions that can be further investigated for candidate genes discovery. Moreover, InDels were found to be associated with awn length on chromosomes 5A, 6B and 4A, which overlapped with previously reported genetic loci B1 (Tipped 1), B2 (Tipped 2) and Hd (Hooded). One of the genes TaAGL6 that was previously shown to affect floral organ development was found at the B2 locus to affect awn length development. Our study shows that trait-associated InDels may contribute to wheat improvement and may be valuable molecular markers for future wheat breeding
Understanding the role of users' socio-location attributes and their privacy implications on social media

Purpose The purpose of this paper is to establish reciprocity among socio-location attributes while underlining the additional users’ privacy implications on social media (SM). Design/methodology/approach Digital identity theories, social software engineering theory and the Privacy Safeguard (PriS) methodology were considered while reviewing 32 papers for identifying users’ SM attributes. After proposing interrelations among socio-location attributes, the PriS method was used to match social aspects of privacy in designing case studies to illustrate the associations through potential users’ privacy implications. Findings Eighteen users’ SM attributes were collected and correlated to the Face, Frame, Activity, Time and Stage (FFrATS) 4 W (socio-location attributes), which provoke further privacy implications due to the notions of self-determination and self-disclosure on SM. The authors draw on the PriS methodology to address privacy’s multidimensionality while creating case studies to examine privacy issues arising due to socio-location attribute disclosure and users’ trajectories and normativity lines. Research limitations/implications Supplementary case studies and research are needed to enable the design of a socio-spatially and privacy-aware designing methodology. Practical implications Designing proper methodologies and techniques to address users’ privacy implications deriving from socio-location attributes can provide designers with a technical solution to SM platforms. Social implications Socio-location attribute disclosure constructs representative SM profiles; however, the revelation of attributes and their interrelations create additional privacy implications for SM users. Originality/value Deepening the understanding of disclosing socio-location attributes on SM while bridging the socio-technical gap will provide the necessary background for proposing technical solutions to protecting users’ privacy.
Application of a smartphone for introductory teaching of sound environment: Validation of the precision of the devices and examples of students' work

In an introductory course for environmental/architectural acoustics in universities, it is often used the teaching method based on soundscape, in which students are asked to make a sound map with listening their surrounding acoustic environment. However, if objective measurement of sound pressure level or frequency spectrum can be introduced in such a course, it will interest students in environmental acoustics, and enable them to discuss the acoustic environment more profoundly. Measurement apparatuses are usually expensive and difficult to be used in such a course. Therefore, we consider to use a smartphone: using a smartphone with acoustic measurement applications, it can be possible to introduce an objective measurement in such an introductory course for beginners. In this study, first some applications for acoustic measurement are examined to confirm their accuracy as well as the effect of a simple handmade windscreen. Secondly, using suitable applications, as a possible work in the course, sound maps with measurement results by a smartphone are made and their examples are shown. Finally, some issues to introduce this method in actual courses are discussed.
Effect of Initial Predeformation on the Plastic Properties of Rolled Sheets of AISI 304L Austenitic Steel

This paper presents research on the influence of material anisotropy caused by the technological process of its manufacturing on the plastic properties of the material. In the experimental study, samples cut from an AISI 304L rolled sheet in the rolling direction, transverse, and at a 45° angle to the rolling direction were predeformed by axial deformation at 18 and 30%. The principal specimens extracted from the pre-deformed plates, cut in the longitudinal, transverse, and 45° angle directions, were subjected to tensile loading until failure. The data thus obtained allowed for the analysis of the plastic flow mechanism using the author’s calculation procedure. The CR coefficient analysis provided information on the state of plastic anisotropy caused by the pre-deformation. For the specimens predeformed in the rolling direction, plastic flow isotropy was observed at a strain of 35%. For the specimens predeformed in the transverse direction—the plastic anisotropy is completely removed at a strain of 33%. For the specimens predeformed at 45 degrees to the rolling direction, it was found that the strain completely removed the plastic anisotropy induced by rolling. The calculations provided information that due to an abrupt change in the strain path, a strong reconfiguration of the plastic flow mechanism occurs, causing the removal of anisotropy generated by rolling.
A Text-based Deep Reinforcement Learning Framework Using Self-supervised Graph Representation for Interactive Recommendation

Due to its nature of learning from dynamic interactions and planning for long-run performance, Reinforcement Learning (RL) has attracted much attention in Interactive Recommender Systems (IRSs). However, most of the existing RL-based IRSs usually face large discrete action space problem, which severely limits their efficiency. Moreover, data sparsity is another problem that most IRSs are confronted with. The utilization of recommendation-related textual knowledge can tackle this problem to some extent, but existing RL-based recommendation methods either neglect to combine textual information or are not suitable for incorporating it. To address these two problems, in this article, we propose a Text-based deep Reinforcement learning framework using self-supervised Graph representation for Interactive Recommendation (TRGIR). Specifically, we leverage textual information to map items and users into a same feature space by a self-supervised embedding method based on the graph convolutional network, which greatly alleviates data sparsity problem. Moreover, we design an effective method to construct an action candidate set, which reduces the scale of the action space directly. Two types of representative reinforcement learning algorithms have been applied to implement TRGIR. Since the action space of IRS is discrete, it is natural to implement TRGIR with Deep Q-learning Network (DQN). In the TRGIR implementation with Deep Deterministic Policy Gradient (DDPG), denoted as TRGIR-DDPG, we design a policy vector, which can represent user’s preferences, to generate discrete actions from the candidate set. Through extensive experiments on three public datasets, we demonstrate that TRGIR-DDPG achieves state-of-the-art performance over several baselines in a time-efficient manner.
Exact solution of the general coupled nonlinear Schrödinger system

In this paper, we study the general coupled nonlinear Schrödinger system (GCNLSS) which describes propagation of femtosecond pulse in birefringent fiber. By using direct integral method and the complete polynomial discriminant system method, we get different kinds of solutions including singular solutions, solitary wave solutions and elliptic function double periodic solutions.
Report Detailing the Development of University Articulation Agreements and Course Syllabi Revisions for the Engineering Drafting & Design Technology Program at Salt Lake Community College

This project is an attempt to close the gap between local industry, higher education, and the Engineering Drafting and Design Technology (EDDT) department at Salt Lake Community College (SLCC). As a longtime drafting instructor in the EDDT department at SLCC, a need for change in industry from board drafting, to 2-D CAD, and now to 3-D CAD has occurred. Because of these changes, the program has continually been updated to meet the needs of the students and local industries. The purpose of this project detailed in this report was first, to explore the drafting needs of professionals working in the industry; second, update the SLCC – EDDT curriculum to make sure students are getting prepared with solid drafting knowledge and skills, in order to be better prepared to enter the work force, or go onto higher education. Finally, this project helped to develop articulation plans between SLCC and other universities in Utah (i.e., Weber State University and Utah State University) so that students wishing to continue their studies in higher education could easily transition into their programs. (83 pages)
Modified PSS-GSOR method for solving saddle point problem

Large-scale saddle-point linear systems appear in computational science and engineering fields such as fluid mechanics, image localization, parameter identification and constraint optimization. For a class of asymmetric saddle point problems, the defects of PSS-GSOR iteration are analyzed, and a modified iteration method is constructed. The main idea is to introduce new parameters to improve the sensitivity of iterative correlation coefficient matrix, and give a reasonable selection method of parameter positive definite matrix. According to the characteristics of the established iterative scheme, the convergence of the given iteration is proved by using the matrix eigenvalue theory, and the range of relevant parameters is obtained. Finally, through numerical experiments, the effectiveness of the modified PSS-GSOR method for solving saddle point problems is verified by comparison.
Epidemiology and Molecular Analyses of Influenza B Viruses in Senegal from 2010 to 2019

Influenza virus types A and B are responsible for acute viral infections that affect annually 1 billion people, with 290,000 to 650,000 deaths worldwide. In this study, we investigated the circulation of influenza B viruses over a 10-year period (2010–2019). Specimens from patients suspected of influenza infection were collected. Influenza detection was performed following RNA extraction and real-time RT-PCR. Genes coding for hemagglutinin (HA) and neuraminidase (NA) of influenza B viruses were partially sequenced, and phylogenetic analyses were carried out subsequently. During the study period, we received and tested a total of 15,156 specimens. Influenza B virus was detected in 1322 (8.7%) specimens. The mean age of influenza B positive patients was 10.9 years. When compared to reference viruses, HA genes from Senegalese circulating viruses showed deletions in the HA1 region. Phylogenetic analysis highlighted the co-circulation of B/Victoria and B/Yamagata lineage viruses with reassortant viruses. We also noted a clear seasonal pattern of circulation of influenza B viruses in Senegal.
Maximizing the Rate of IRS-Assisted Downlink NOMA Systems

Nonorthogonal multiple access (NOMA) techniques and intelligent reflecting surface (IRS) are being explored as potential essential technologies for future wireless communications. Accordingly, this paper provides a network framework for IRS-aided downlink NOMA transmission, in which IRS is employed to improve the NOMA system’s transmission performance, and optimization problems are raised to maximize the achievable rate. Given the fractional structure of multivariate coupling as presented in this study, the fractional problem first converts to a linear form; then, the semidefinite relaxation (SDR) algorithm is proposed to address nonconvex issues for a single-user scenario. As for a multiuser scenario, the alternating optimization (AO) algorithm is raised based on transmit beamforming and reflection phase shift matrix to settle relevant issues and mitigate computational complexity. The simulation results suggest that the algorithm described in this paper can significantly increase the signal’s achievable rate compared to the nondeployed IRS and IRS random phase-shifting schemes.
WiFi, WiMAX, and LTE Multi-hop Mesh Networks: Basic Communication Protocols and Application Areas

Wifi, WiMAX, and Cellular Multihop Networks presents an overview of WiFi-based and WiMAX-based multihop relay networks. As the first text to cover IEEE 802.16j multihop hop relay technology, this revolutionary resource explores the latest advances in multi-hop and ad-hoc networking. Not only does this reference provide the technological aspects, but also the applications for the emerging technology and architectural issues. Ranging from introductory material to advanced topics, this guidebook, plus PowerPoint slides, is essential for engineers, researchers, and students interested in learning more about WiFi and WiMAX multihop relay networks.
Fundamental performance limits of heatsinks

Dedicated fan-duct-heatsink combinations have become a standard means of cooling computer processors. Most previous studies have considered optimizaton of fin geometry (pitch and thickness) with overall heatsink dimensions (length, width, height) fixed. The present study considers size requirements for the constraints of fixed air volume flow rate and pressure drop, fixed fan/blower power, and fixed thermal conductance. First, an ideal heatsink with infinite fin thermal conductivity is considered, providing simple power-law prediction of performance. Next, fins of finite thermal conductivity and thickness are included in the analysis, permitting prediction and minimization of weight. Finally, effects of developing flow are incorporated, resulting in variations from the ideal predictions. Models of each of the three levels of complexity can be used, previous to more detailed numerical and/or experimental studies, to design optimized heatsinks.
The effect of Dapoxetine on Chronic Constriction Injury (CCI) induced neuralgia in rats

Introduction. Recent studies have shown that SSRIs have anti-inflammatory effects, and their administration prevents their production by acting on inflammatory cytokines. Emphasizing that we did not find a study on Dapoxetine and its effect on neuropathic pain, in this study, we examined the effect of Dapoxetine on neuropathic pain in rats. Material and methods. 42 rats were divided into six groups of 7, which included: sham, control, gabapentin, Duloxetine and Dapoxetine 1 and 3. Except for the sham group, other groups were induced with neuropathy, and no drug treatment was performed in the sham group. The groups were treated with normal saline, gabapentin (30 mg/kg/day), Duloxetine at (30 mg/kg/day) and Dapoxetine (1 and 3 mg/kg/day), respectively by intraperitoneal injection. Then, thermal hyperalgesia and mechanical and thermal allodynia experiments were performed on rats. Results. The Dapoxetine-treated groups’ mean response to thermal hyperalgesia and mechanical allodynia increased on days 7 and 14. The mean response of the 3 mg/kg Dapoxetine group on day 7 was significantly higher than the control group (P <0.05). Mean response to mechanical and thermal allodynia-induced stimulation and thermal hyperactivity in the Dapoxetine group 3 mg/kg at 14 days, compared with the Dapoxetine group 1 mg/kg showed significantly better results (P <0.05). Conclusion. Dapoxetine effectively reduces the behavioral response to painful and non-painful thermal and mechanical stimuli and painful thermal and mechanical stimuli. In addition to its short-term analgesic effects, it also has long-term effects.
A Thermodynamically Consistent, Microscopically-Based, Model of the Rheology of Aggregating Particles Suspensions

In this work, we outline the development of a thermodynamically consistent microscopic model for a suspension of aggregating particles under arbitrary, inertia-less deformation. As a proof-of-concept, we show how the combination of a simplified population-balance-based description of the aggregating particle microstructure along with the use of the single-generator bracket description of nonequilibrium thermodynamics, which leads naturally to the formulation of the model equations. Notable elements of the model are a lognormal distribution for the aggregate size population, a population balance-based model of the aggregation and breakup processes and a conformation tensor-based viscoelastic description of the elastic network of the particle aggregates. The resulting example model is evaluated in steady and transient shear forces and elongational flows and shown to offer predictions that are consistent with observed rheological behavior of typical systems of aggregating particles. Additionally, an expression for the total entropy production is also provided that allows one to judge the thermodynamic consistency and to evaluate the importance of the various dissipative phenomena involved in given flow processes.
How Have ETFs Changed Market Macro Efficiency and Risk Structure?

In the late 1990s, Samuelson offered a dictum suggesting that the equity market, although micro efficient, is also macro inefficient. That is, at the aggregate level, the market does not accurately reflect the available information. We further explore this dictum in the context of a market that has evolved to provide larger options for trading across the whole spectrum of investors. We argue that the macro efficiency of the stock market has been increasing over the past 20 years. We show that the development and adoption of exchange-traded funds (ETFs) have played a major role in the transmission of information to the market, resulting in an increase in market macro efficiency. Our approach is based on the R-squared of the market model explaining US stock and sector returns. First, we propose these R-squared values as a proxy for market macro efficiency. Then, we use regression analyses at the individual stock and sector levels to observe the relationship between the rise in ETFs and market macro efficiency. Finally, we use extrafinancial data related to the awareness and adoption of ETFs to confirm their contribution.