Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of a Reinforcement Learning based Agent Model and People Flow Data to Mega Metropolitan Area

In recent years, due to various factors, including population decline, aging, and the promotion of compact cities, the social and lifestyle changes significantly impact people’s daily travel behavior. Although existing survey data and mobile phone data can reveal these phenomena, only aggregate-level results can be open to the public from the viewpoint of personal privacy. On the other hand, the conventional four-step travel demand estimation approach and human mobility models are limited to the low degree of freedom models, and hard to estimate the ever-changing traffic flow and the inability to capture the continuous behavior of people. This study develops a deep reinforcement learning-based agent model to tackle this problem and simulate the intercity people flow in the metropolitan area.
Mapping the messenger: Exploring the disinformation of QAnon

We analyzed message board content originating with the online persona “Q,” leader of the right-wing conspiracy community known as QAnon. We qualitatively placed all of Q’s messages into one of five qualitatively derived categories: allusion to hidden knowledge, undermining institutions and individuals, inspirational, administration and security, and call to action. Further analysis of how these categories are used by Q over time illustrates how the messaging evolved. Specifically, later Q messaging focused less on hidden knowledge and conspiratorial thinking and more on politics relative to earlier messaging. We also note what Q does not include in messages: very few direct calls to action are made to the QAnon community and no specific, direct calls for violent action. Implications and future directions of research are discussed.
Structural Equation Modeling of Personality Traits in the Primary and Secondary Vulnerability Patterns of Antisocial Personality Disorder Based on Eysenck's Model

Copyright © 2016, MEJDS. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited. Abstract Background & Objectives: Psychopath evaluation and conceptualization in non–clinical individuals has attracted increasing attention in recent years. Psychopathy is a set of emotional, interpersonal, and behavioral traits that represent cruelty, recklessness, deception, bigotry, excitement, and aggression. Underlying individual differences in Antisocial Personality Disorder (APD) are biological issues. One of the personality theories that addressed individual differences, especially biological differences, is Eysenck's theory of personality. Eysenck's personality traits model describes APD based on the following traits: extraversion, neuroticism, and psychoticism. Thus, the present study aimed to investigate the relationship between personality traits of primary and secondary psychopathy based on Eysenck’s model. Methods: The present correlational research applied structural equation modeling. The statistical population of this study included all medical students in Tabriz City, Iran, in the academic year of 2019–2020. In total, 284 subjects were selected using the convenience sampling method. The inclusion criterion of the study included medical students. Besides, the exclusion criteria of the study were the presence of active mental health disorders and absence from >2 sessions. The required data was gathered by the Levenson Self–Report Psychopathy Scale (LSRP) (Levenson et al., 1995) and Eysenck Personality Questionnaire–Revised Short (EPQ–RS) (Eysenck et al., 1985). The obtained data were analyzed using Pearson correlation coefficient and structural equation modeling in SPSS and LISREL. The significance level of all tests was 0.01. Results: The collected results indicated that neuroticism had a direct and significant relationship with primary APD (Beta=0.301, p<0.001) as well as secondary APD (Beta=0.823, p<0.001). Psychosis had a direct and significant relationship with primary APD (Beta=0.502, p<0.001) as well as secondary APD (Beta=0.310, p<0.001); however, extraversion had no significant relationship with primary APD (Beta=–0.123, p=0.061) as well as secondary APD (Beta=0.122, p=0.080). Furthermore, the collected data fitted with the proposed research model (x/df=2.46, CFI=0.96, GFI=0.91, NFI=0.94, RMSEA=0.072). Conclusion: According to the current research results, Eysenck's theory has a tremendous influence on the development of theoretical and research etiology of psychopathy and supports the major role of Eysenck's theory in APD.
CONTEXT-AWARE GENERATION OF MELODIC MIDI LOOPS

In this paper we describe a method of generation of symbolic melody loops to ﬁt in an existing set of melodic, harmonic and bass loops. Two main contributions are the way of representing MIDI data in textual form and the post-processing procedure for selecting best candidates among a potentially inﬁnite set of generated melodies. Due to the proposed representation a generative model can be conditioned on music style and music intensity. Overall performance of our method has been evaluated with the help of a professional music producer.
Introducing a new control system based on Fuzzy-PID for controlling DFIG rotor side converter in fault conditions

Doubly-fed induction generators are sensitive to network faults and will be isolated from the circuit when a fault occurs. According to the new rules of the network, wind turbines should be able to continue working in fault conditions and should not be isolated from the system when the network fault occurs. This article proposes a Fuzzy-PID controller for controlling the doubly-fed induction generator rotor side converter in fault conditions. This controller is only added to the circuit in fault conditions and it reduces the current of the rotor circuit with the proper control of the rotor side converter. When the network voltage is in the normal state, rotor side converter control is performed with the PI controller. The proposed method is implemented in MATLAB Simulink software. The simulation results confirm the better performance of the proposed method in the proper control of the rotor side converter in fault conditions.
Sex Differences in the Alcohol-Mediated Modulation of BLA Network States

Abstract Alcohol use, reported by 85% of adults in the United States, is highly comorbid with mood disorders, like generalized anxiety disorder and major depression. The basolateral amygdala (BLA) is an area of the brain that is heavily implicated in both mood disorders and alcohol use disorder. Importantly, the modulation of BLA network/oscillatory states via parvalbumin (PV)-positive GABAergic interneurons has been shown to control the behavioral expression of fear and anxiety. Further, PV interneurons express a high density of δ subunit-containing GABAA receptors (GABAARs), which are sensitive to low concentrations of alcohol. Therefore, we hypothesized that the effects of alcohol may modulate BLA network states that have been associated with fear and anxiety behaviors via δ-GABAARs on PV interneurons in the BLA. Given the impact of ovarian hormones on the expression of δ-GABAARs, we also examined the ability of alcohol to modulate local field potentials in the BLA from male and female C57BL/6J and Gabrd−/− mice after acute and repeated exposure to alcohol. Here, we demonstrate that acute and repeated alcohol can differentially modulate oscillatory states in male and female C57BL/6J mice, a process that involves δ-GABAARs. This is the first study to demonstrate that alcohol is capable of altering network states implicated in both anxiety and alcohol use disorders.
Unlocking the genomic regions associated with seed protein contents in Turkishcommon bean germplasm through genome-wide association study

Human body needs sufficient quantity of protein on daily basis for the normal functioning. Dietary protein in sufficient q uantity is becoming a key issue for huge population of the world particularly in develo ping countries. Present investigation aimed to explore the phenotypic variation and to in vestigate the genomic regions associated with seed protein contents in Turkish co mm n bean germplasm collected from 19 provinces. Field experiments were conducted according to augmented block
Implementation science: A brief overview and a look ahead.

The field of implementation research is remarkable in many ways and, even as a young discipline, it has expanded well beyond the expectations of even its most optimistic supporters and stakeholders. In this overview we provide a selective rather than systematic review to serve as a relevant introduction to the field of implementation science. We highlight central concepts, strategies, frameworks, and research outcomes. These highlights draw heavily on the seminal systematic reviews from Brownson, Colditz, and Proctor (2012), Fixsen, Naoom, Blase, Friedman, and Wallace (2005), and Greenhalgh, Robert, MacFarlane, Bate, and Kyriakidou (2004) and on a thorough comparative review of implementation frameworks conducted by Meyers, Durlak, and Wandersman (2012). Looking ahead to future implementation research, we consider research challenges related to the scaling up of programs, striking a good balance between treatment integrity and local adaptation, measuring implementation quality, and program sustainability.
Obtaining of “S region” of HBV surface antigen in Pichia pastoris GS115

New plasmids pPIC3.5-S (8426 bp) and pPIC9-S (8680 bp) producing the “S region” of hepatitis B virus surface antigen (HBV) were cloned and the recombinant strains of Pichia pastoris GS115 were obtained on their basis.
Novel method for HLA-peptide binding prediction and HLA supertype sub-typing.

The major histocompatibility complex (MHC) is highly polymorphic and more than 1500 hu- man MHC alleles are known to date. These alleles do not bind to a given peptide with identical affinity. Although MHC alleles are functionally related, it is difficult to quantify the functional variation between them. Three- dimensional structures of known MHC-peptide (MHCp) complexes suggest that specific peptide residues bind selectively to functional pockets in the binding groove. From a set of known MHCp structures we identified 21 critical polymorphic functional residue positions (CPFRP) that significantly reduced functional pocket variability to just 189 among 212 HLA-A alleles. Interestingly 101 HLA-A alleles clustered into 29 clusters such that the six functional pockets formed by the CPFRPs are identical within the cluster. Human Immunology 64, 718–728 (2003). © American Society for Histocompatibility and Immunogenetics, 2003. Published by Elsevier Inc.
Improving risk prediction for pulmonary embolism in COVID‐19 patients using echocardiography

Abstract SARS‐CoV‐2 infection is associated with increased risk for pulmonary embolism (PE), a fatal complication that can cause right ventricular (RV) dysfunction. Serum D‐dimer levels are a sensitive test to suggest PE, however lacks specificity in COVID‐19 patients. The goal of this study was to identify a model that better predicts PE diagnosis in hospitalized COVID‐19 patients using clinical, laboratory, and echocardiographic imaging predictors. We performed a cross‐sectional study of 302 adult patients admitted to the Johns Hopkins Hospital (March 2020–February 2021) for COVID‐19 infection who underwent transthoracic echocardiography and D‐dimer testing; 204 patients had CT angiography. Clinical, laboratory and imaging predictors including, but not limited to, D‐dimer and RV dysfunction were used to build prediction models for PE using logistic regression. Model discrimination was assessed using area under the receiver operator curve (AUC) and calibration using Hosmer‐Lemeshow χ 2 statistic. Internal validation was performed. The prevalence of PE was 7.6%. The model with positive D‐dimer above 5 mg/L, RV dysfunction on echocardiography, and troponin had an AUC of 0.77, and cross‐validated AUC of 0.74. D‐dimer (>5 mg/L) had a positive association with PE (adj odds ratio = 4.40; 95% confidence interval: [1.80, 10.78]). We identified a model including clinical, imaging and laboratory variables that predicted PE in hospitalized COVID‐19 patients. Positive D‐dimer >5, RV dysfunction on echocardiography, and troponin were important predictors for calculating likelihood of PE diagnosis. This approach may be useful to aid in clinical decision‐making related to diagnostic imaging and treatment. Prospective studies are needed to evaluate impact on patient outcomes.
Joint Link Adaptation and Resource Allocation for Uplink in 3GPP Machine-Type Communications

Enhanced Machine-Type Communications (eMTC) is a low-power wide-area network technology introduced by the 3rd Generation Partnership Project (3GPP). The eMTC devices are of low cost and can operate in poor signal coverage areas. To ensure successful transmission in such scenarios, 3GPP has adopted the repetition of data over time. In 4G-LTE/5G-NR, the resource allocation and link adaptation are one-dimensional problems where the modulation and coding scheme (MCS) is either incremented or decremented over time. However, in eMTC, there exists a two-dimensional problem, as the base station can update either MCS or repetitions. Further, the base station has to consider the devices' limited transmit power while allocating resources in the uplink. An optimal selection of these values has a significant impact on the network capacity and the devices' battery power. Motivated by this, we present novel resource allocation, link adaptation, and scheduling algorithms for the eMTC uplink. We show that the proposed algorithms result in a suitable selection of resource blocks, MCS, repetition levels, and link adaptation. To reduce the computation load, we also propose a low-complexity sub-optimal scheduling algorithm. Through system-level simulations, we show that all the proposed algorithms significantly outperform the state-of-the-art algorithms.
The Relationship between VO2 and Muscle Deoxygenation Kinetics and Upper Body Repeated Sprint Performance in Trained Judokas and Healthy Individuals

The present study sought to investigate if faster upper body oxygen uptake (VO2) and hemoglobin/myoglobin deoxygenation ([HHb]) kinetics during heavy intensity exercise were associated with a greater upper body repeated-sprint ability (RSA) performance in a group of judokas and in a group of individuals of heterogenous fitness level. Eight judokas (JT) and seven untrained healthy participants (UT) completed an incremental step test, two heavy intensity square-wave transitions and an upper body RSA test consisting of four 15 s sprints, with 45 s rest, from which the experimental data were obtained. In the JT group, VO2 kinetics, [HHb] kinetics and the parameters determined in the incremental test were not associated with RSA. However, when the two groups were combined, the amplitude of the primary phase VO2 and [HHb] were positively associated with the accumulated work in the four sprints (ΣWork). Additionally, maximal aerobic power (MAP), peak VO2 and the first ventilatory threshold (VT1) showed a positive correlation with ΣWork and an inverse correlation with the decrease in peak power output (Dec-PPO) between the first and fourth sprints. Faster VO2 and [HHb] kinetics do not seem to be associated with an increased upper body RSA in JT. However, other variables of aerobic fitness seem to be associated with an increased upper body RSA performance in a group of individuals with heterogeneous fitness level.
iAPM for Asset Health Management: New Benchmarks for Resource Industries

Abstract This paper examines how advanced asset health management is integral for organisations to operate safely, effectively and profitably. Asset health management is particularly important in the resources sector and in remote operating centres which rely on operators viewing and analysing masses of data through the use of visual tools and graphics. This paper explores the importance of intelligent asset performance management (iAPM), an automated system, integrating disparate data and deploying advanced monitoring and diagnosis algorithms to continuously evaluate asset performance (equipment, process, control and infrastructure) so that every aspect of an organisation’s asset condition is completely visible and available to all users online in near real time across the entire supply chain. iAPM allows asset degradation and equipment breakdown to be detected early, predicting and preventing sub-optimal operation before it impacts production and safety. Results are targeted at each stakeholder group (executive, analytical and operational) and integrated into daily operational workflow. Examples of successful implementations of iAPM systems will be provided from within mineral processing operations, utilities, resources and rail.
Differences in Anthropometric Measurements and Serum Lipid Levels between Representative Samples of the United States and South Korean Populations: NHANES and KNHANES 2007 – 2008 and 2009 – 2010 Study

The objective of this study was to analyze the dynamics and differences of changes in obesity-defining parameters such as body mass index (BMI), waist circumference (WC), total cholesterol (TC), tricarboxylic acid (TG), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) in representative samples from the US and South Korea in analogous sampling frames comprising the years 2007 - 2008 and 2009 - 2010. Differences in anthropometric parameters and serum lipid levels between specific sampling frames were evaluated using a t-test for unpaired data. Age-dependent changes were analyzed using the GLM technique and the Bonferroni-Dunn post-hock test. Among all subjects, the obesity defined by BMI is cross-correlated with an increase in WC. However, in extremely obese women in the United States, there is a lack of a direct relationship between BMI and WC. There was also a clear correlation between the relative change in WC and serum lipid levels in subjects of different ethnic groups. This study showed that BMI and WC could be interchangeably used to assess the health risks associated with increased serum lipid levels in US and South Korean populations
Microhabitat Associations for the Threatened Cheat Mountain Salamander in Relation to Early-stage Red Spruce Restoration Areas

The Central Appalachian Spruce Restoration Initiative was formed to promote restoration of red spruce Picea rubens forests in Central Appalachia. One goal of the initiative is to increase availability and enhance quality of habitat for wildlife, including the threatened Cheat Mountain salamander Plethodon nettingi. The purpose of this research was to compare microhabitat characteristics between an occupied Cheat Mountain salamander site and early-stage spruce restoration sites, and between four occupied sites and proximal non-detection sites. We found that soil pH was higher and soil moisture was lower at spruce restoration sites compared to the occupied site, and that light intensity, sub-canopy air temperature, and ground-level air temperature were higher in spruce restoration prescriptions with reduced canopy cover. We found that soil moisture was higher at occupied sites compared to proximal non-detection sites, but soil pH was not significantly different. Our study suggests that Cheat Mountain salamanders are associated with low soil pH and high soil moisture, and thus spruce restoration could enhance habitat quality for this species in the long-term.
The Effect of Oral Administration of Hypericum Perforatum on Serum Glucose and Lipids, Hepatic Enzymes and Lipid Peroxidation in Streptozotocin-Induced Diabetic Rats

Background: In this research, the beneficial effects of oral administration of Hypericum perfo­ratum (HP) on serum glucose and lipids, hepatic enzymes and the amount of malondialdehyde in Streptozotocin-induced diabetic rats are studied. Materials and Methods: In this experi­mental study, 32 male rats where randomly divided into 4 groups of control, treatment-control, diabetic and treatment-diabetic. HP was orally administered to treatment groups over a period of 6 weeks. Serum glucose levels, triglyceride, total cholesterol along with HDL and LDL were all evaluated prior to initiation of the treatment, and at 3rd and 6th (last) week of treatment initiation, and in the end of the treatment, malondialdehyde and aminotransferase enzymes of the liver were evaluated. Results: regarding serum glucose levels and body weight measured in the 3rd and 6th week, the treatment-diabetic group didn’t show a significant change compared to the diabetic group, regarding serum total cholesterol and LDL levels, a significant decrease was observed and regarding serum HDL, a significant increase was documented. Furthermore, treating the treatment-diabetic group with HP did not result in any significant decrease in serum triglyceride, malondialdehyde or alanine aminotransferase but, in fact, did cause a significant decrease in aspartate aminotransferase. Conclusions: Oral administration of HP did in fact have a beneficial effect on lowering serum levels of total cholesterol, LDL and the hepatic enzyme as­partate aminotransferase and on raising the levels of HDL in diabetized rats with Streptozotocin. [GMJ.2017;6(4):319-29] DOI: 10.22086/gmj.v6i4. 889
Crime and the City. Public Attitudes towards Open-Street CCTV in Glasgow

Britain has seen very substantial public and private investment in open-street closed circuit television surveillance in the 1990s. Part of the justification for this has been the assumed ability of CCTV to reduce both crime and the fear of crime. Recorded crime increased in Glasgow after CCTV was installed there. This paper reports the result of a major survey of crime fear levels experienced by locally resident visitors to a city centre both before and after that installation, and compares their responses to those given by locally resident visitors to two control locations. There is majority support for the installation of open-street CCTV, and a majority thought CCTV would make them feel safer. However, when actual, as opposed to prospective, feelings of safety are compared over time, there is no improvement after installation of CCTV cameras. Further, respondents believe that CCTV is better than the police at detecting crime, but that police patrolling are more effective than CCTV in making people feel safer. One way of interpreting this is to suggest that Glaswegians, along with many sociologists, prefer 'natural' to 'electronic' surveillance.