Miracle-dz/UniFAR-FTUs huggingface dataset:
The Students’ Acceptability Model of the Web Based Academic Information System (SIAK)

A desirable integrated access to the information that affected to the organizations were, in facts, having the relationship with the perceptions to adopt the information system, especially that requires the technical competence and skills. This study investigated the using of Web-based academic information system to assist students in the academic activities. Specifically, on the behavior influenced to adopt the new information technology. Based on the developed information model towards academic system (Academic Information System Based on WEB, we called as SIAK), the study found that the user satisfaction (US) for academic purposes were having significant correlation with all of Net System Benefit. Here, the User Satisfaction (US) on whether happy or not towards the system is having significant correlation with all of System Quality (SQ), Attitude Towards Using (ATU), and Perceived Ease of Use (PEOU). Whiles, to the completeness of contents were having significant correlation with all of Perceived Ease of Use (PEOU) and Use Intentions (UI). This study also found that the users were very concern to the speed of information presented and provided by the system. The better quality of the academic information systems, the more satisfy the users to the information system.
Gas heat exchange at inhomogeneous combustion of solid porous media

The authors suggest using a numerical method based upon the finite element analysis of the equations of continuous inhomogeneous media mechanics to describe thermophysical properties of transient motions of viscous gas through porous media with chemical changes and phase transitions in a solid phase. The model takes into account heat exchange between a solid frame and gas, changes in the phase volume and mass at interaction, the presence of oxidant diffusion. The software developed in FreeFem++ allows clear and vivid studying the process of gas combustion in solid porous medium with inhomogeneous combustion source at forced filtration in the course of time as well as modeling and analyzing a real experiment.
Nuclear magnetic resonance study of the influence of the liquid nitrogen freeze‐thaw process on the pore structure of anthracite coal

In recent years, liquid nitrogen (LN2) fracturing technology has been applied in coalbed methane (CBM) development. However, the impact of the liquid nitrogen freeze‐thaw process on the pore structure of anthracite coal has not yet been systematically investigated. In this study, nuclear magnetic resonance (NMR) analysis and scanning electron microscopy (SEM) imaging of coal samples after treatment with liquid nitrogen for different freezing times and freeze‐thaw cycles were performed to study the pore structure damage of anthracite subjected to the liquid nitrogen freeze‐thaw process as well as the variation in the porosity, fracture evolution, and permeability. The results show that the LN2 freeze‐thaw process can enlarge the pore size, enhance the pore connectivity, and form a fracture network on the surface of coal samples, which increases the total porosity, residual porosity, effective porosity, and permeability. This study provides a theoretical value for LN2 fracturing in the development of CBM.
An Examination of the Relationship Among Daily Hassles, Uplifts, and Depressive Symptoms in College Population

PSI CHI JOURNAL OF UNDERGRADUATE RESEARCH ̈ Winter 2005 Copyright 2005 by Psi Chi, The National Honor Society in Psychology (Vol. 10, No. 4, 150–152 / ISSN 1089-4136). Depression and depressive symptoms are serious concerns among people from a variety of ages and backgrounds across America. For example, according to a task force of the American Psychological Association, approximately seven million women and three and one-half million men in the United States could be diagnosed with clinical depression; similar numbers could be diagnosed with dysthymia or minor depressive symptoms (McGrath, Keita, Strickland, & Russo, 1990). Furthermore, it has been estimated that college students are especially likely to suffer from clinical depression and dysthymia compared to those who are of the same age and background, but are in the workforce (Heppner, Witty, & Dixon, 2004). Research examining the relationship between stressful life events and depression has increased considerably over recent years (Nevid & Greene, 2001). Whereas strong evidence exists that negative life events such as the death in the family are associated with an increase in depression, the association is relatively modest. Approximately 10% of the variance in depression scores is accounted for by negative life events (Nezu & Ronan, 1988). This has lead a number of investigators to examine what factors could buffer a person against the depressive effects of negative life events. Factors that have been found to buffer or protect a person from the depressive effects of negative life events include social support (Wade & Kendler, 2000), social problem solving (Heppner, Witty, & Dixon, 2004), and generalized self-efficacy (Lightsey, 1997). Other recent research has begun to examine what other factors also buffer a person against the depressive effects of negative life events. For example, a recent study by Dixon and Reid (2000) examined the relationship between positive life events, negative life events, and depressive symptoms in a college population. It was found positive life events appear to buffer or reduce the impact of major negative life events when predicting depressive symptoms. More specifically, it was found individuals who experienced high levels of negative life events and low levels of positive life events were more likely to experience higher levels of depressive symptoms than those who had experienced high levels of both negative and positive life events (Dixon & Reid, 2000). Our study directly extends upon the Dixon and Reid (2000) study by examining whether minor daily NICOLE L. ARMSTRONG
Performance Optimization of an eCAR by Parametric Analysis

In this paper, a method for performance optimization of an electric Car (eCAR) is proposed based on acceleration rate, maximum speed, and tractive force. Since the total tractive force is exerted by propulsion motor alone, the driving performance of an eCAR depends on the power of the propulsion motor and its control. The proposed pre-sizing methodology depicts the optimum power of the propulsion motor, and for the optimized motor the impact of road dynamics, acceleration rate, change in mass, and gear ratio on the eCAR’s drive range are analyzed. The proposed electric propulsion system is modeled and the performance characteristics are analyzed using MATLAB to validate the behavior of an eCAR propulsion.
Assimilating GRACE Into a Land Surface Model in the Presence of an Irrigation‐Induced Groundwater Trend

Assimilating terrestrial water storage observations from the Gravity Recovery and Climate Experiment (GRACE) mission into land surface models (LSMs) provides an opportunity to disaggregate and downscale GRACE information to finer scales and improve water component estimates in LSMs. However, the performance of GRACE data assimilation (GRACE‐DA) is limited by the lack of representation of human activities in most LSMs. To simultaneously improve GRACE‐DA and reduce the uncertainties in the modeled anthropogenic processes, we assimilate mascon‐based GRACE terrestrial water storage into the Noah‐Multiparameterization LSM that includes groundwater extraction for irrigation. Simulations with and without GRACE‐DA and with and without groundwater pumping for irrigation are performed to study the isolated and combined effects of groundwater irrigation and GRACE‐DA on water and energy fluxes over the High Plains Aquifer (HPA). The results reveal that the DA‐only simulation may erroneously distribute increments across water storage components and affect the related fluxes through biased feedbacks, while the irrigation‐only simulation may overestimate groundwater decline due to shortcomings in the irrigation and groundwater parameterizations. Assimilating GRACE when irrigation is simulated produces the best overall performance for water storage trends over the northern HPA. For the southern HPA, GRACE assimilation with irrigation performs similarly to irrigation‐only simulation for water storage components and evapotranspiration. GRACE assimilation also improves results in nonirrigated regions and can potentially alleviate the overestimation of groundwater trends in regions with greater irrigation uncertainties. This study highlights the potential to advance hydrological data assimilation in the context of anthropogenic water consumption and land‐atmosphere interactions.
Understanding the Dynamics of Co-creation of Knowledge: A Paradigm Shift to a Complexity Science Approach to Evaluation of Community-campus Engagement

Community-campus engagement (CCE) offers transformative opportunities for collaborative knowledge creation. Over the last few decades, thoughtful energy has gone into identifying the parts of a CCE and then developing tools to study these parts, with discrete focus on community groups, students, and faculty. Bringing a complexity science approach to CCE evaluation can amplify our understanding by capturing the dynamic nature of collaborative interactions that occur between faculty and students and their relationship with community organizations and groups. Our article begins by introducing key features of a complexity science approach that are well suited to address the evaluation of CCE initiatives. We then position CCE within this approach and discuss how key features of complex systems can operate in the context of CCE. These features include a focus on context and initial conditions, dynamic interactions of adaptation and learning that are nested at different scales, and outcomes that emerge and self-organize in unexpected and nonlinear ways. We draw upon the contextual fluidity (CF) practice model that provides a bridge between abstract concepts of complexity science and the very practical world of community engagement. With awareness of context, dynamic interactions, and emergent outcomes, we propose questions that those evaluating CCE may want to consider.
Comprehensive check list of Cercosporoid fungi from Iran

Assistant Professor of Plant Pathology and Mycology, Plant Protection Department, Faculty of Agriculture, University of Tabriz, PO Box: 5166614766, Iran. Professors of Plant Pathology and Mycology, Plant Protection Department, Faculty of Agriculture, University of Tabriz, PO Box: 5166614766, Iran. PhD Student of Plant Pathology, Plant Protection Department, Faculty of Agriculture, University of Tabriz, PO Box: 5166614766, Iran.
Physician champions’ perspectives and practices on electronic health records implementation: challenges and strategies

Abstract Objective Physician champions are “boots on the ground” physician leaders who facilitate the implementation of, and transition to, new health information technology (HIT) systems within an organization. They are commonly cited as key personnel in HIT implementations, yet little research has focused on their practices and perspectives. Materials and Methods We addressed this research gap through a qualitative study of physician champions that aimed to capture their challenges and strategies during a large-scale HIT implementation. Email interviews were conducted with 45 physician champions from diverse clinical areas 5 months after a new electronic health record (EHR) system went live in a large academic medical center. We adopted a grounded theory approach to analyze the data. Results Our physician champion participants reported multiple challenges, including insufficient training, limited at-the-elbow support, unreliable communication with leadership and the EHR vendor, as well as flawed system design. To overcome these challenges, physician champions developed their own personalized training programs in a simulated context or in the live environment, sought and obtained more at-the-elbow support both internally and externally, and adapted their departmental sociotechnical context to make the system work better. Discussion and Conclusions This study identified the challenges physician champions faced and the strategies they developed to overcome these challenges. Our findings suggest factors that are crucial to the successful involvement of physician champions in HIT implementations, including the availability of instrumental (eg, reward for efforts), emotional (eg, mechanisms for expressing frustrations), and peer support; ongoing engagement with the champions; and appropriate training and customization planning.
Automatic Generation of School Bus Routes in Los Angeles

Author(s): Porter, Mason A. ; Spencer, David J.; Hung, Cu Hauw | Abstract: The goal of our project is to automatically generate school bus routes for the Los Angeles Unified School District (LAUSD). We examined four algorithms, including two from the existing literature and two new ones that we developed. A major focus of our work was the construction of “mixed-load routes,” which transport students from multiple schools. Based on our measurements (whose imperfections we discuss), three of the four algorithms perform at least as well as the existing route plan, and one of those three performs better than the existing route plan. We also delivered a user-friendly routing program to LAUSD that uses one of these algorithms, and we have made our software publicly available. Our insights and results are also applicable to other school districts that permit mixed-load routing.
Myelin water fraction decrease in mild traumatic brain injury

The increased incidence of reported traumatic brain injury (TBI) and its potentially serious long-term consequences have enormous clinical and societal impacts. The diffuse and continually evolving secondary changes after TBI make it challenging to evaluate the changes in brain-behaviour relationships. In this study we used myelin water imaging to evaluate changes in myelin water fraction (MWF) in individuals with chronic brain injury and evaluated their cognitive status using the NIH Toolbox Cognitive Battery. Twenty-two adults with mild or severe brain injury and twelve age, gender and education matched healthy controls took part in this study. We found a significant decrease in global white matter MWF in individuals with mild TBI compared to the healthy controls. Significantly lower MWF was evident in most white matter ROIs examined including the corpus callosum (separated into genu, body and splenium), minor forceps, right anterior thalamic radiation, left inferior longitudinal fasciculus; and right and left superior longitudinal fasciculus and corticospinal tract. No significant correlations were found between MWF in mild TBI and the cognitive measures. These results show for the first time the loss of myelin in chronic mild TBI.
Public debt, sovereign spreads and the unpleasant arithmetic of fiscal consolidations

In response to severe fiscal consolidation policies implemented after the Great Recession and the euro area sovereign debt crisis, many have questioned the effectiveness of fiscal consolidations in reducing the burden of public debt. This paper revisits this fundamental policy debate qualitatively and quantitatively, studying conditions under which primary budget balance changes can successfully reduce government debt-to-GDP ratios. We first illustrate these conditions through a partial equilibrium setting. We then investigate the conditions quantitatively using a medium-scale New Keynesian DSGE model calibrated on periphery countries of the euro area. The analysis highlights the critical role of sovereign spreads in driving the debt-to-GDP dynamics following a restrictive primary balance shock. Fiscal consolidations turn out to successfully reduce the debt-to-GDP even for fairly low elasticities of spreads to fiscal variables. However, their effectiveness is quantitatively moderate and varies crucially with the initial spread level and with the degree of monetary policy accommodation.
A Self-Balanced Wideband Patch Antenna Fed With a U-Resonator for Stable Radiation Performance

In this letter, a self-balanced wideband patch antenna fed with a U-resonator is proposed to realize sidelobe reduction, even-mode suppression and bandwidth enhancement. Initially, a rectangular slot is embedded at the center of patch to interrupt and reshape its out-of-phase current, by which sidelobe radiation is significantly reduced. Then, a U-resonator is introduced at the bottom to improve the radiation performances of the resultant antenna in two ways. First, the half-wavelength U-resonator can differentially feed the patch and suppress the even mode of the radiating patch, so as to realize stable broadside radiation with no need of additional phase shifters or baluns. Second, an additional resonant mode is generated by the U-resonator, contributing to wider bandwidth. The simulated and measured results demonstrate that its impedance bandwidth is dramatically enhanced to 60% under triple resonance. Besides, improved radiation performance with low sidelobe level and more consistent beamwidth are realized, while the gain response is nearly flat in operating band and effectively rejected out of band.
PHR System using Blockchain Technology

PHR is easy to check patients’ health condition, which is suitable for the customized medical service. However, the EMR systems were made of different type in each medical institute, thereby being difficult to integrate the information into PHR. A Cloud is an appropriate alternative because it has easy environment where the integrated PHR is easily built and processed while keeping the system under various EMR systems. The concept of the current medical paradigm has been changing from treatment to management. For the management, it is important to know current health condition, but the existing diseases and their treatment processes. The environment of medical information is shifting from recording and to saving into PHR which is an integrated record of EMR information and subsidiary patients’ health information. PHR is very easy to check patients’ health condition, which is suitable for the customized medical service. This study provided how to apply blockchain technology to the medical field and utilize it for PHR applications. For these applications, it suggested an architecture for gateway application of healthcare date to control and share PHR data more easily and securely.
An Assessment of Construct Validity and Reliability on Aggressive Behavior Scale

The purpose of this study is to test the validity and reliability of aggressive behavior scale and is also to examine aspects and indicators that can form variables of aggressive behavior. Aggressive behavior is measured by four aspects, namely physical aggression, verbal aggression, anger, and hostility. The subjects in this study were all X grade middle school students in Yogyakarta. The sample in this study was 60 students. The sampling technique used was quota sampling technique. The data collection method was the scale of aggressive behavior. Research data were analyzed with Structural Equation Modeling (SEM) through the SmartPLS 3.2. 8 program. Based on the results of data analysis, the aspects and indicators that make up the aggressive behavior variable are declared valid and reliable. The most dominant aspect that reflects aggressive behavior is physical aggression that has a loading factor value of 0.903. Meanwhile, the weakest aspect that reflects aggressive behavior is hostility which has a loading factor value of 0.727. This shows that all aspects and indicators are able to reflect and form aggressive behavior variables. Thus, the measurement model can be accepted because the theory which describes the aggressive behavior variable fit with empirical data obtained from the subject.
Red snow occurrence in Eastern Europe. A case study

There was a fall of red snow in southwestern Europe as a result of a cold trough that penetrated from the north towards the central Mediterranean and Saharan Africa, together with movement eastwards. A strong southwesterly flow formed along the eastern flank of the trough. This flow transported a large amount of red Saharan dust, which mixed with the snowfall in the area and painted the snow red.
Electric Vehicle Sales Catastrophe Averted (?)

The literature indicates catastrophic potential for electric vehicles around the year 2019. Amidst the predicted time, this research revisits the prequel analysis with state-of-the-art deterministic artificial intelligence methodologies to posit the potential for catastrophe in the upcoming year. The methodology has proven effective with motion mechanics, electrodynamics, and even financial analysis of sales date in the prequels, since the model commences with simple regression for mathematical model formulation asserting the certainty equivalence principle, followed by derivative modeling and eventually catastrophe analysis of the derivative models. The prequel analysis paradigms are retained in this sequel utilizing both monthly and cumulative sales data in simple least squares algorithms for predictive curve fitting to establish context and help correctly model the mathematical degree of the data. Extrapolation by forward time-propagation established predictions for models of various mathematical degrees (again merely for context). Next, catastrophe analysis (of the derivative form) revealed stable and unstable equilibrium points and then parametric variation was induced to evaluate the resulting behavior of the derivative models, highlighting the importance of the coefficient of the second order term (the acceleration or change of rate of sales as a forcing function). While the forcing function typically embodies both gasoline prices and vehicle charging proliferation, the relative stability of gas prices together with factors such as vehicle-to-grid elevate charging-station proliferation as the primary forcing function of slow-dynamics in catastrophe analysis. This brief manuscript revisits the prequel research to test the validity of those conclusions and with the benefit of the passage of time, reveal how well the mathematical modeling predicted real behavior. The main finding is the predicted potential catastrophe is less likely to occur and recommendations are made to insure catastrophe is averted.
The cutting stock problem with multiple manufacturing modes applied to a construction industry

This paper addresses the problem of multiple manufacturing modes integrated into the cutting stock problem, based on a real-life application of the concrete pole manufacturing. The main aim is to propose, formulate and test this integrated problem, which can be applied to the construction industry and other contexts of multiple manufacturing modes with cutting processes. The motivation for this proposal is the construction industry, in which reinforced concrete structures can be reinforced by various combinations of one-dimensional steel bars of varying thicknesses and lengths. An integer programming mathematical formulation is proposed aiming to minimise the total cost and to meet a demand of final products with different possible configurations. A column generation procedure is used as the solution method together with a heuristic procedure to find an integer solution. Computational results were performed with practical instances in order to assess the value of the approach and with a set of random generated instances in order to explore the influence of parameters on the results. Some managerial insights are presented.