Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Anxiety Towards the Academic Performance of Undergraduate Students in Public Universities in Malaysia

This research is a survey to examine the effects of state/trait anxiety towards academic achievement among undergraduates. This study also examines the mediation effect of academic motivation in these relationships. Furthermore, it also investigates gender differences in state anxiety, trait anxiety, academic motivation, and academic performance among undergraduates of Malaysian public universities. Students. To achieve the purpose of study, 143 undergraduates from public universities in Malaysia were surveyed using State-Trait Anxiety Inventory, Demographic Questionnaire and Academic Motivation Scale-College version. The data for were analyzed using descriptive analysis, independent t-test, regression analysis and Sobel test by through SPSS version 23. This study indicated that there is no direct effect of state anxiety and trait anxiety on academic performance among undergraduates. However, they have indirect effects on undergraduates’ academic performance through academic motivation. Furthermore, gender difference was not found to be significant in this study in terms of all the variables involved. For the educational purpose, the influence of academic motivation among undergraduates should be taken into account by various parties such as education providers and policy makers in order to ensure a better academic outcome among undergraduates.
Homelessness and School Choice: Examining the School Choice Experiences of Families Living in Shelter

ABSTRACT In the last decade, the number of public school students in the United States experiencing homelessness has more than doubled. Research shows that school enrollment processes are particularly onerous for families experiencing homelessness; yet, school choice and enrollment policies are rarely designed with the type of flexibility needed to be responsive to their multifaceted needs. In this study, we used in-depth interviews to explore the school-choice experiences of families living in shelters in New York City and to examine the knowledge and perspectives of shelter-based staff working with these families. We find that despite the New York City Department of Education's efforts to increase information provision, resource distribution, and monitoring of applications, families experiencing homelessness remained confused and frustrated by school-choice and enrollment processes. Moreover, their necessary focus on securing permanent housing, employment, and meeting their families’ basic needs often limited the time they could spend searching for schools that matched their expressed preferences for an educational setting for their child. For their part, shelter staff viewed school choice and enrollment as another administrative burden added to an already extensive set of professional responsibilities, and they lacked sufficient information and training to serve as effective school-choice counselors for the families in their caseload. Taken together, our results highlight the wide-ranging, sometimes competing demands families and shelter staff living and working in the midst of multiple public systems encounter and the prioritization that must occur to comply with regulations and requirements.
Suicide risk and ideation among patients with substance use disorders in Egypt

ABSTRACT Background Patients with substance use disorders are at high risk for suicidal ideas and behaviors. Prevention of suicide among these patients should be a public health priority. Objective The objective of this study was to investigate the prevalence and correlates of suicidal ideas and suicide risk among patients with substance use disorders. Methods This study included 100 patients with substance use disorders who sought treatment at Zagazig University hospital, Egypt. All participants were interviewed using Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition-Text-Revised and rated by Beck Suicide Scale. Drug-related problems were assessed using the Arabic version of Addiction Severity Index. Urine screen for drugs was done for all patients participated in the study. Results Twenty-seven percent of the patients with substance use disorders had suicidal ideas, 22% had suicide risk, and 9% had history of suicidal attempts. Females were 5 times more likely to have suicide risk than males. Unemployed patients were three times more likely to have suicide risk than employed or skilled workers. There was an association between suicide risk and heroin use and alcohol dependence and patients with positive family history of suicide. Conclusions Suicidal ideas and suicide risk were common among patients with substance use disorders. Female gender, unemployment, heroin use, and alcohol dependence and positive family history of suicide were predictors of suicide ideation and risk in patients with substance use disorders.
The Czech National Corpus

The paper deals with the history of the Czech National Corpus (CNC) project. It reports on the present stage of its development, describes what type of corpus it is, and the text processing methods and morphological annotation used in its compilation. It also briefly discusses the software used in the CNC. The Bank of Czech (BoC) has now 330 million word forms. It is the basis of a representative corpus (SYN2000 - 100 million word forms) which was created in spring 2000, and is intended as a material source for future dictionaries. At the moment the lexical saturation of the material is tested.
ESD HBM Discharge Model in RF GaN-on-Si (MIS)HEMTs

Gallium nitride (GaN) technologies have become an essential role in commercial advanced RF systems, which accompany emerging RF electrostatic discharge (ESD) reliability challenges. As opposed to ESD clamp transistors in <italic>LV</italic> CMOS technologies, a mis-correlation between standard-defined human body model (HBM) ESD robustness and commonly used TLP failure current was observed in GaN (MIS) high electron mobility transistors (HEMTs). Using transient HBM <inline-formula> <tex-math notation="LaTeX">${I}$ </tex-math></inline-formula>–<inline-formula> <tex-math notation="LaTeX">${V}$ </tex-math></inline-formula> characteristics, a novel discharge model is proposed to explain the transient discharge mechanism. The TCAD and SPICE simulations confirmed that the observed mis-correlation between TLP and HBM is attributed to 2-dimensional electron gas (2DEG) resistance modulation in response to HBM ESD transient voltage waveforms. The HBM waveforms under full transient duration in terms of rising and falling edges are further discussed. Eventually, the failure mechanisms in the TLP IVs and the HBM transient IVs can be well correlated in GaN (MIS)HEMTs.
Advanced Numerical Simulations of Ice Gouge Events and Implications for Engineering Design

Over the past decade, numerical simulation tools have been developed to examine complex, nonlinear problems such as free-field ice gouge and coupled ice keel/seabed/pipeline interaction events. These advanced numerical models have provided valuable insight to failure mechanisms, clearing processes and subgouge soil deformations during ice gouge events. The basis for a validated simulation tool, however, has not been presented in the public domain. Published studies to date have provided results from sensitivity analysis based on partial calibration of the numerical modelling procedures. An assessment of the numerical simulation tools capabilities and technical constraints is needed. This study will address some of the major issues and discuss the path forward. Validation of the numerical modelling procedures to simulate ice gouge events will mitigate uncertainty, improve safety and reduce cost. This may unlock constraints that currently hinder the development of hydrocarbon resources, using subsea infrastructure, in ice gouge environments.
Help!: The Art of Computer Technical Support

From the Publisher: Providing technical support is an integral part of the job responsibilities of over a million people. It's tough work. Helping users in trouble demands not only technical savvy but also patience, diplomacy, and creativity. Until now, no book has explored the important managerial, technical, and psychological issues that tech support workers and managers confront daily. This book covers all the bases, from case studies of large technical support departments to specific tips on dealing with frustrated, irate callers. If your job involves assisting others use computers, you'll find it a fascinating read and a useful professional resources.
Your “Attention” Deserves Attention: A Self-Diversified Multi-Channel Attention for Facial Action Analysis

Visual attention has been extensively studied for learning fine-grained features in both facial expression recognition (FER) and Action Unit (AU) detection. A broad range of previous research has explored how to use attention modules to localize detailed facial parts (e,g. facial action units), learn discriminative features, and learn inter-class correlation. However, few related works pay attention to the robustness of the attention module itself. Through experiments, we found neural attention maps initialized with different feature maps yield diverse representations when learning to attend the identical Region of Interest (ROI). In other words, similar to general feature learning, the representational quality of attention maps also greatly affects the performance of a model, which means unconstrained attention learning has lots of randomnesses. This uncertainty lets conventional attention learning fall into sub-optimal. In this paper, we propose a compact model to enhance the representational and focusing power of neural attention maps and learn the “inter-attention” correlation for refined attention maps, which we term the “Self-Diversified Multi-Channel Attention Network (SMA-Net)”. The proposed method is evaluated on two benchmark databases (BP4D and DISFA) for AU detection and four databases (CK+, MMI, BU-3DFE, and BP4D+) for facial expression recognition. It achieves superior performance compared to the state-of-the-art methods.
Influence of smoking on autonomic functions in light and heavy smokers measured by heart rate variability

Background: Various studies using heart rate variability (HRV) as a tool have found reduced HRV in smokers in comparison with non-smokers. However, not many studies have studied the influence of smoking on HRV in light and heavy smokers calculated by pack years. Aim and Objective: The main aim of this study was to measure and compare the influence of smoking on autonomic functions in male light and heavy cigarette smokers using HRV. Materials and Methods: The present was conducted in the Department of Physiology, Navodaya Medical College, Raichur. Permission to conduct the study was obtained from the Institutional research ethical committee. This study was conducted among male cigarette smokers with age between 20 and 50 years who were apparently healthy. The selection of subjects participating in the study was done by simple random sampling, the subjects were residents of the Raichur district. The study group subjects were divided into light and heavy smokers considering both the amount and duration of smoking calculated by pack years. HRV was recorded by using the instrument Polygraph (AD instruments, Australia, model noML870). Statistical analysis was done by independent sample t-test to compare between the groups using EPI Info Version 7.0 software. A P < 0.05 was considered as statistically significant whereas a P < 0.001 was considered as highly significant. Results: The HRV parameters indicating sympathetic function such as low frequency (LF) component, LF power expressed in normalized unit (LFnu) and LF-HF ratio were significantly increased in heavy smokers in comparison to light smokers, whereas the HRV parameters indicating parasympathetic function such as total power, high frequency (HF) component and HF power expressed in normalized unit (HFnu) were significantly decreased in heavy smokers in comparison to light smokers. Conclusion: Increased sympathetic stimulation associated with a decrease in the cardiac vagal modulation leading to imbalance in the autonomic functions was more in heavy smokers when compared to light smokers.
An Efficient Frequency Estimator for a Complex Exponential Signal Based on Interpolation of Selectable DTFT Samples

The frequency estimation of complex exponential carrier signals in noise is a critical problem in signal processing. To solve this problem, a new iterative frequency estimator is presented in this paper. By iteratively computing the interpolation of DTFT samples, the proposed algorithm obtains a fine frequency estimate. In addition, its mean square error (MSE) analysis is presented in this paper. By analyzing influences of the selectable parameters on the estimation accuracy of the model, a method for choosing appropriate parameters is discussed, helping to reduce the estimation error of the proposed estimator. Simulation results show that compared with other algorithms with a comparable estimation accuracy, the proposed iterative estimator can obtain a root mean square error (RMSE) that is closer to Cramér–Rao lower bound (CRLB).
Part I: NiMoO4 Nanostructures Synthesized by the Solution Combustion Method: A Parametric Study on the Influence of Synthesis Parameters on the Materials’ Physicochemical, Structural, and Morphological Properties

The impact of process conditions on the synthesis of NiMoO4 nanostructures using a solution combustion synthesis (SCS) method, in which agar powder and Ni(NO3)2 were utilized as fuel and as the oxidant, respectively, was thoroughly studied. The results show that the calcination temperature had a significant implication on the specific surface area, phase composition, particle size, band gap, and crystallite size. The influence of calcination time on the resulting physicochemical/structural/morphological properties of NiMoO4 nanostructures was found to be a major effect during the first 20 min, beyond which these properties varied to a lesser extent. The increase in the Ni/Mo atomic ratio in the oxide impacted the combustion dynamics of the system, which led to the formation of higher surface area materials, with the prevalence of the β-phase in Ni-rich samples. Likewise, the change in the pH of the precursor solution showed that the combustion reaction is more intense in the high-pH region, entailing major implications on the physicochemical properties and phase composition of the samples. The change in the fuel content showed that the presence of agar is important, as it endows the sample with a fluffy, porous texture and is also vital for the preponderance of the β-phase.
The use of geographic information systems for the optimal location of biomass power plants in the Madrid Community (Spain).

Abstract. This article has been extracted from the results of a thesis entitled â€œPotential bioelectricity production of the Madrid Community Agricultural Regions based on rye and triticale biomass. â€ The aim was, first, to quantify the potential of rye (Secale Cereale L.) and triticale (Triticosecale Aestivum L.) biomass in each of the Madrid Community agricultural regions, and second, to locate the most suitable areas for the installation of power plants using biomass. At least 17,339.9 t d.m. of rye and triticale would be required to satisfy the biomass needs of a 2.2 MW power plant, (considering an efficiency of 21.5%, 8,000 expected operating hours/year and a biomass LCP of 4,060 kcal/kg for both crops), and 2,577 ha would be used (which represent 2.79% of the Madrid Community fallow dry land surface). Biomass yields that could be achieved in Madrid Community using 50% of the fallow dry land surface (46,150 ha representing 5.75% of the Community area), based on rye and triticale crops, are estimated at 84,855, 74,906, 70,109, 50,791, 13,481, and 943 t annually for the CampiA±a, Vegas, Sur Occidental, Area Metropolitana, Lozoya-Somosierra, and Guadarrama regions. The latter represents a bioelectricity potential of 10.77, 9.5, 8.9, 6.44, 1.71, and 0.12 MW, respectively.
The Promise of Digital Self-Management: A Reflection about the Effects of Patient-Targeted e-Health Tools on Self-Management and Wellbeing

Increasingly, people have direct access to e-Health resources such as health information on the Internet, personal health portals, and wearable self-management applications, which have the potential to reinforce the simultaneously growing focus on self-management and wellbeing. To examine these relationships, we searched using keywords self-management, patient-targeting e-Health tools, and health as wellbeing. Direct access to the health information on the Internet or diagnostic apps on a smartphone can help people to self-manage health issues, but also leads to uncertainty, stress, and avoidance. Uncertainties relate to the quality of information and to use and misuse of information. Most self-management support programs focus on medical management. The relationship between self-management and wellbeing is not straightforward. While the influence of stress and negative social emotions on self-management is recognized as an important cause of the negative spiral, empirical research on this topic is limited to health literacy studies. Evidence on health apps showed positive effects on specific actions and symptoms and potential for increasing awareness and ownership by people. Effects on more complex behaviors such as participation cannot be established. This review discovers relatively unknown and understudied angles and perspectives about the relationship between e-Health, self-management, and wellbeing.
Energy Efficient Control of Running Legged Robots. A Case Study : The Planar One-Legged Hopper

The paper addresses the problem of energy-efficient control of running legged mechanisms via the case study of the planar one-legged hopper. Due to its mechanical simplicity, the planar one-legged hopper is generally considered as the basic prototype of mechanisms capable of ballistic running gaits. What makes this system particularly interesting is that, endowed with a proper selection of springs, it can be controlled without spending much actuation energy. Giving core to this possibility has already motivated a few studies, but has not yet, to our knowledge, been extensively explored. The present study is another attempt in this direction. Being primarily motivated by control design and analysis aspects, we have tried to set the basis of a methodology for the derivation of a new class of simple controllers capable of stabilizing passive periodic motions. Elements of this class are explicited by making specific choices about the model used for control design and the control actuation setting. Although stability analysis is not complete, for reasons which are explained in the paper, the soundness of the proposed approach is illustrated via simulation. The study also unveils new results and intriguing questions, among which some could prove to be central to a better understanding of legged locomotion in general, its potentialities and also its limitations.
Quantitative Analysis of Catch-up Saccades Executed during Two-dimensional Smooth Pursuit

The purpose of this research was to investigate quantitatively the catch-up saccades occurring during smooth pursuit. In our experiment, to evoke catch-up saccades we used two-dimensional non-predictable time-continuous target trajectories submitted with 3 peak velocities: 12.5, 25 and 50deg/s. From the experimental results we computed the relationships of the parameters of catch-up saccades: the amplitude, the peak velocity, the time interval between two-saccades in the bunch of them with the parameters such as the position error, the retinal slip and the transient and integral target velocities. On the basis of the analysis of these relationships, we proposed the model how catch-up saccades are programmed and how the slow (smooth pursuit) and the rapid (saccadic) eye movements interact. Ill. 6, bibl. 5 (in English; summaries in English, Russian and Lithuanian).
m-Path: An easy-to-use and flexible platform for ecological momentary assessment and intervention in behavioral research and clinical practice

In this paper, we present m-Path (www.m-Path.io), an online platform that provides a user-friendly and flexible framework for implementing smartphone-based ecological momentary assessment (EMA) and intervention (EMI) in both research and clinical practice in the context of blended care. Because real-time monitoring and intervention in people’s everyday lives have unparalleled benefits compared to traditional data collection techniques (e.g., experiments or retrospective surveys), EMA and EMI have become popular in recent years. On the one hand, the surge in use of these methods requires software that allows for increasingly complex designs and functionalities. On the other hand, EMA and EMI platforms should remain easy to use and accessible for researchers and clinicians with limited programming skills. m-Path accommodates to both of these needs, offering an intuitive web interface to set up highly tailorable smartphone-based EMA and EMI protocols. In this article, we review the strengths of daily life data collection and intervention in general and m-Path in particular. We discuss the regular workflow to design an EMA or EMI protocol within the m-Path framework, and summarize both the basic functionalities and more advanced features of our software.
Time-Dependent Proinflammatory Responses Shape Virus Interference during Coinfections of Influenza A Virus and Influenza D Virus

Both influenza A virus (IAV) and influenza D virus (IDV) are enzootic in pigs. IAV causes approximately 100% morbidity with low mortality, whereas IDV leads to only mild respiratory diseases in pigs. In this study, we performed a series of coinfection experiments in vitro and in vivo to understand how IAV and IDV interact and cause pathogenesis during coinfection. The results showed that IAV inhibited IDV replication when infecting swine tracheal epithelial cells (STECs) with IAV 24 or 48 h prior to IDV inoculation and that IDV suppressed IAV replication when IDV preceded IAV inoculation by 48 h. Virus interference was not identified during simultaneous IAV/IDV infections or with 6 h between the two viral infections, regardless of their order. The interference pattern at 24 and 48 h correlated with proinflammatory responses induced by the first infection, which, for IDV, was slower than for IAV by about 24 h. The viruses did not interfere with each other if both infected the cells before proinflammatory responses were induced. Coinfection in pigs further demonstrated that IAV interfered with both viral shedding and virus replication of IDV, especially in the upper respiratory tract. Clinically, coinfection of IDV and IAV did not show significant enhancement of disease pathogenesis, compared with the pigs infected with IAV alone. In summary, this study suggests that interference during coinfection of IAV and IDV is primarily due to the proinflammatory response; therefore, it is dependent on the time between infections and the order of infection. This study facilitates our understanding of virus epidemiology and pathogenesis associated with IAV and IDV coinfection.