Miracle-dz/UniFAR-FTUs huggingface dataset:
What do we know about the relationship between Internet mediated interaction and social isolation and loneliness in later life

Social isolation and loneliness are recognised social, health and wellbeing problems that particularly affect later life. They have been the subject of many recent studies. Studies examining the role of the Internet in addressing these problems have increased. However, it is still unknown whether Internet-mediated social interaction has a role in mitigating social isolation and/or loneliness or not. To address this gap, this study reviews previous research that investigates the relationship between Internet use for communication and social isolation and loneliness. It reviews the empirical literature published since 2000 and expands on previous literature reviews by including a variety of research designs and disciplines. Despite the recent growth of studies there is still little evidence to demonstrate Internet effects on social isolation and loneliness. It is concluded that future research programmes aimed at reducing them by the use of the Internet should include more robust methodological and theoretical frameworks, employ longitudinal research designs and provide a more nuanced description of both the social phenomena (social isolation and loneliness) and Internet-mediated social interaction.
EVENT DATA VISUALIZATION THROUGH PROCESS MINING: A CASE FOR EMERGENCY MEDICAL SERVICE SYSTEM IN ADANA

Increasing amount of data enables researchers the opportunity of applying new scientific methods to manage and visualize the systems and processes. Process mining is an emerging tool for discovering real processes using event data of complex systems such as communication, information, health care systems, transportation and etc. Emergency Medical Service (EMS) system is an integral part of health care systems and aims to respond cases on time in order to decrease mortality. Although the EMS system process is assumed to be known, related data may indicate some deviations from the real process. Aim of this study is to discover and visualize EMS system in Adana city, in Turkey. EMS system event logs are filtered and visualized by using plug-ins in ProM platform such as Simple Heuristic Filtering plug-in and Log visualizer, respectively. Other plug-ins such as Fuzzy Miner and Inductive Miner are used for discovering process model. The deviations are obtained in EMS system process model showing irregular or rare events that cannot be representable throughout the process. The results indicate that the process of transportation between hospitals should be investigated in order to improve the process of Adana EMS system.
Expectations and experiences of physiotherapeutic practice among patients with shoulder problems

Abstract Background: Patient satisfaction is regarded as an important component in quality health care. There is an absence of information about how patients go through shoulder problems. The aim is to report how patients with shoulder problems experience physiotherapy practice in Finland. Do the patients have expectations of physiotherapists? How are the patients’ experiences of physiotherapists? Methods: The sample group consists of 26 patients diagnosed with supraspinatus tendinitis. The study can be characterised as qualitative and phenomenological. The data were collected through focus groups. Results: Eleven themes were defined reflecting three structured categories: the physiotherapy itself including treatments, the social skills and basic values. Treatment includes opinions about examination, manual therapy, physical therapy and program. In physiotherapists’ social skills, the attention is marked to initial understanding, communication, motivating and attention to patients’ wishes. The respondents expect individualisation, participation, respect and dignity. Together, these categories provide the base of the confidence the respondents want to have in the physiotherapists. Conclusions: Patients highlight basic values by wanting to feel part of the rehabilitation process and to have confidence in their physiotherapist. The physiotherapists have every reason to reflect on the patients’ strong focus on social skills, yet without renouncing their roles as experts.
Differences in hospital length of stay between neonates exposed to buprenorphine versus methadone in utero: A retrospective chart review.

Introduction Neonatal abstinence syndrome is a growing concern in neonatal intensive care units in rural and remote settings. Methods A retrospective chart review was conducted of 180 mother-infant dyads born with in utero exposure to buprenorphine (n=60), methadone (n=60) or to other opioids (n=60) to determine neonatal length of stay in hospital, number of days on morphine, day of life of initiation of morphine and the need for phenobarbital. Results The length of stay in hospital for neonates was 5.8 days shorter (95% confidence interval [CI] 6.1 to 8.5 days) for buprenorphine exposure in utero compared to methadone (P=0.001). For neonates requiring treatment for Neonatal abstinence syndrome, those with in utero exposure to buprenorphine required 6.1 fewer days (95% CI 2.5 to 9.7) of treatment with morphine then those exposed to methadone (P<0.0005). There were no statistically significant differences in day of life of initiation of morphine therapy for each of the study groups. The proportion of neonates requiring adjuvant therapy with phenobarbital was statistically significantly higher in neonates exposed to methadone in utero than either buprenorphine or illicit opioids (P<0.0005). Conclusions Retrospective data suggest that neonates with in utero exposure to buprenorphine experience a shorter length of stay in hospital, fewer days of treatment with morphine for neonatal abstinence syndrome, and less use of phenobarbital than neonates exposed in utero to methadone. This suggests that Ontario provincial guidelines should be updated to recommend buprenorphine as first line for replacement therapy in pregnancy.
PSO-SMC Controller Based GMPPT Technique for Photovoltaic Panel Under Partial Shading Effect

The effect of partial shading has a strong influence on the production of photovoltaic solar systems. In fact, when this phenomenon occurs, several power peaks appear on the power-voltage curve (P, V). These peaks are divided between the local maxima and a global maximum. This latter presents the superior maximum compared to the local maxima. Therefore, in this case, the conventional MPPT methods such as Incremental Conductance (INC) and Perturb and Observe (P&O) do not have the ability to detect and track the highest peak. Thus, this causes the important loss of power. To overcome this issue, this study focusses on the design of a new method able to distinguish the global maximum power point (GMPP). This method is composed of two loops of control, the particle swarm optimization (PSO) and the sliding mode controller (SMC). The first loop, which consists of PSO, sweeps the power-voltage curve by looking for the GMPP, after that generates the reference of corresponding optimal voltage. While the second loop is designed to track the voltage reference by acting on the duty cycle of the SEPIC converter. This method is characterized by its robustness against the parameters’ changes and the modeling error thanks to the SMC controller designed. In addition, the PSO used improves efficiency of the PV modules subjected to the non-uniform meteorological conditions. The simulation results show the rapidity and accuracy of the proposed method for localizing and tracking the global power maximum. In fact, according to the results, the proposed controller has a convergence time about 63ms depending on the shading pattern. Moreover, it is able to detect the meteorological conditions change. To prove the advantages of the proposed technique, this one is compared with the hybrid controllers those composed of P&O and INC combined with BSC and SMC controllers.
Untangling El Niño‐La Niña Asymmetries Using a Nonlinear Coupled Dynamic Index

The linear recharge oscillator model for the El Niño–Southern Oscillation (ENSO) was expanded to a nonlinear model, thus allowing identification of a nonlinear dynamic ENSO index. This index was applied for a dynamic examination of the El Niño‐La Niña asymmetry. Here, the nonlinear physical processes including the nonlinear dynamical heating were implemented into the linear recharge oscillator model in the form of quadratic nonlinearity. This nonlinear recharge oscillator model revealed that nonlinear (linear) physical processes play a critical role in the long‐term ENSO skewness (amplitude) changes quantitatively. Particularly, the large part of the long‐term ENSO skewness change could be explained by the quadratic nonlinearity associated with the nonlinear ocean dynamical heating, which is closely related to change in mean thermocline. This research provides a unified framework to understand better the past‐present‐future ENSO changes by applying the interdecadal change dynamics on a low hierarchical level.
Touché: Data-Driven Interactive Sword Fighting in Virtual Reality

VR games offer new freedom for players to interact naturally using motion. This makes it harder to design games that react to player motions convincingly. We present a framework for VR sword fighting experiences against a virtual character that simplifies the necessary technical work to achieve a convincing simulation. The framework facilitates VR design by abstracting from difficult details on the lower "physical" level of interaction, using data-driven models to automate both the identification of user actions and the synthesis of character animations. Designers are able to specify the character's behaviour on a higher "semantic" level using parameterised building blocks, which allow for control over the experience while minimising manual development work. We conducted a technical evaluation, a questionnaire study and an interactive user study. Our results suggest that the framework produces more realistic and engaging interactions than simple hand-crafted interaction logic, while supporting a controllable and understandable behaviour design.
Effect of Fetal Movements and Fetal Breathing on Fetal Middle Cerebral Artery Pulsatility Index Measurement

Objective: This study aimed to determine the effect of fetal movements on the MCA pulsatility index (PI) and quantify the fall of MCA PI after initiation of fetal movements and/or breathing, and the time taken to recover from a fall below the 5th percentile. Methods: 16 women with appropriate for gestational age (AGA) fetuses and 16 women with small for gestational age (SGA) fetuses were recruited. MCA PI during “no movement” state was compared with MCA PI values during fetal body movements and breathing movements. Results: MCA PI measurements with body or breathing movements were significantly (p 0.005) lower as compared to that observed without movements. MCA PI started rising immediately after cessation of body movements and/or breathing movements. Conclusions: MCA PI with fetal body or breathing movements is significantly lower as compared to that observed in the quiet state. If MCA PI measurement is below 5th centile, it should be measured again up to 90 seconds after cessation of fetal body and/or breathing movements in order to minimize false positive diagnosis of cerebral sparing effect in SGA as well as AGA fetuses.
The complete chloroplast genome of Styrax confusus Hemsl. (Styracaceae)

Abstract Styrax confusus Hemsl. is valued for its beauty and fragrance. Here, we characterized the complete chloroplast (cp) genome of S. confusus using next-generation sequencing. The circular complete cp genome of S. confusus was 157,981 bp in length, containing a large single-copy (LSC) region of 87,571 bp, and a small single-copy (SSC) region of 18,316 bp. It comprises 133 genes, including eight rRNA genes, 37 tRNA genes, and 88 protein-coding genes. The GC content of S. confusus cp genome is 36.95%. A phylogenetic tree reconstructed by 30 chloroplast genomes reveals that S. confusus is mostly related to Styrax calvescens Perk.
Entrepreneurship Education: Team Composition in Known Worlds and New Frontiers

This article is about entrepreneurial teams and addresses specifically the relationship between the group value consensus and performance. It contributes to previous research on teams in three ways. First, this study addresses the effectiveness of team composition in two different tasks. By doing so, it lends insights into how to compose entrepreneurial teams for improved outcomes. Second, we look specifically at how value composition impacts team performance. Third, we investigate designed teams in a quasi-experimental setting as opposed to organically formed teams commonly found in other team composition studies. Our study finds that value heterogeneity is beneficial to external tasks while detrimental to internal tasks.
Smartphone Identification via Passive Traffic Fingerprinting: A Sequence-to-Sequence Learning Approach

Passive cyber-security attacks do not require any modification of the data stream generated by the victim, nor the creation of a false statement; in particular, those attacks based on statistical analysis aim at acquiring sensible information by just analyzing traffic patterns. Our work sits on the conjecture that the PDCCH, which is transmitted in clear text, may be effectively used to statistically characterize the traffic generated by a smartphone in standby mode. Through this statistical signature, the attacker may then infer whether an unknown traffic pattern is generated by the victim user’s terminal, guessing if the victim is in a certain geographical area, and in turn gaining the ability to track the victim’s movements and/or to profile their habits. In this work, we propose a data collection and processing framework that successfully obtains such signatures. User data patterns (transport block sizes and communications direction) are retrieved by analyzing the mobile network scheduling. Hence, a sequence-to-sequence learning framework to extract smartphone signatures from passive traffic is put forward, and is experimentally validated using a dataset of 40 user traces, successfully identifying up to 90 percent of the users.
How Do Corporate Social Responsibility and Corporate Governance Affect Stock Price Crash Risk?

We investigate the impact of corporate social responsibility (CSR) and corporate governance on stock price crash risk in manufacturing sector of India and Pakistan. We collect data of nine years from 2010 to 2018 from DataStream of 353 manufacturing firms. We apply the Generalized Method of Moments (GMM) to the analysis of the data. We find that when firms actively engage in CSR activities, they lead to reduced stock price crash risk. We further find that managerial ownership has a significant positive impact on stock price crash risk, while board size and CEO duality show a significant and negative impact on stock price crash risk.
624PDA phase III trial of muparfostat (PI-88) as adjuvant therapy in patients with hepatitis virus related hepatocellular carcinoma (HV-HCC) after resection

predictiveeffectwasmodeledasaprotein–treatmentinteractioneffectandsubjectedtoAkaikeinformationcriterion(AIC)-basedselectiontoassessitsassociationwithOSandTTP.SubgroupanalysiswasdoneonproteinsidentifiedassignificantforOSandTTPtogenerateapatient-wiseproteincompositescore.
Public childcare provision and employment participation of East and West German mothers with different educational backgrounds

By focusing on a period of a major public childcare expansion in Germany, this study investigates whether higher levels of childcare coverage for under-threes have been positively associated with employment among mothers with different educational backgrounds. Both standard economic labour theories and sociological theories presume that the effect of public childcare provision varies with mothers’ educational attainment. The analysis links county-level data on annual childcare ratios with individual-level data from the Socio-Economic Panel Study (2007–2016). To match mothers with similar characteristics in counties with childcare ratios above and below the annual median within East and West Germany, entropy balancing is applied. Findings indicate a positive relationship between childcare provision and maternal employment, with more pronounced associations for mothers with at least a vocational degree, those with a second birth and those who receive full-time access to childcare.
Anxiety and depression in patients with chronic obstructive pulmonary disease and their relation to serum vitamin D levels

Objectives: To determine whether serum vitamin D levels were related to the prevalence of anxiety and depression among patients with chronic obstructive pulmonary disease (COPD), as well as their spirometry parameters, disease severity, and other clinical findings. Materials and Methods: Ninety-two stable patients with COPD aged over 18 years with no exacerbations in the previous month were included. Symptom severity was assessed using the modified Medical Research Council (mMRC) dyspnea scale and COPD Assessment Test (CAT) scores. Spirometry tests were performed and previous hospitalization histories were recorded to determine ABCD groups of the patients according to their combined COPD assessments. Their Body mass index, airflow Obstruction, Dyspnea and Exercise capacity (BODE) indices were calculated and the Hospital Anxiety and Depression Scale (HADS) was administered. Serum vitamin D levels were determined using immune electrochemiluminescence. Results: According to the HADS scores, 16 patients (17.4%) had the risk of anxiety and 29 (31.5%) had the risk of depression. The risk of anxiety differed significantly (P= 0.016 Fischer’s exact test) between the ABCD groups. Anxiety scores were positively correlated with both mMRC (r= 0.315; P= 0.002) and CAT (r= 0.445; P= 0.000) scores. Similarly, depression scores correlated positively with mMRC (r= 0.249; P= 0.017) and CAT (r= 0.373; P= 0.000) scores. Neither anxiety nor depression scores were significantly correlated with % of predicted FEV1 (p= 0.339, P= 0.671). Serum vitamin D levels were inversely correlated with anxiety (r= -0.215; P= 0.039) and depression (r= -0.244; P= 0.019) scores. Anxiety scores were positively correlated with BODE although not statistically significantly (r= 0.199; P= 0.058). Conclusion: A negative correlation was revealed between serum vitamin D levels and HADS scores, and symptom scores were positively correlated to HADS scores, independent of % of predicted FEV1.
Physiological and head motion signatures in static and time-varying functional connectivity and their subject discriminability

Human brain connectivity yields significant potential as a noninvasive biomarker. Several studies have used fMRI-based connectivity fingerprinting to characterize individual patterns of brain activity. However, it is not clear whether these patterns mainly reflect neural activity or the effect of physiological and motion processes. To answer this question, we capitalize on a large data sample from the Human Connectome Project and rigorously investigate the contribution of the aforementioned processes on functional connectivity (FC) and time-varying FC, as well as their contribution to subject identifiability. We find that head motion, as well as heart rate and breathing fluctuations, induce artifactual connectivity within distinct resting-state networks and that they correlate with recurrent patterns in time-varying FC. Even though the spatiotemporal signatures of these processes yield above-chance levels in subject identifiability, removing their effects at the preprocessing stage improves identifiability, suggesting a neural component underpinning the inter-individual differences in connectivity.
Genetic studies on speech and language disorders

that have contributed to humans becoming the predominant species on earth from an evolutionary perspective. Disruptions in human speech and language function may result in diverse disorders, including stuttering, aphasia, articulation disorder, spasmodic dysphonia, verbal dyspraxia, dyslexia, and specific language impairment (SLI). These disorders often cluster within a family, and this clustering strongly supports the hypothesis that genes are involved in human speech and language functions. For several decades, multiple genetic studies, including linkage analysis and genomewide association studies, were performed in an effort to link a causative gene to each of these disorders, and several genetic studies revealed associations between mutations in specific genes and disorders such as stuttering, verbal dyspraxia, and SLI. One notable genetic discovery came from studies on stuttering in consanguineous Pakistani families; these studies suggested that mutations in lysosomal enzymetargeting pathway genes (GNPTAB, GNPTG, and NAPGA) are associated with non-syndromic persistent stuttering. Another successful study identified FOXP2 in a Caucasian family affected by verbal dyspraxia. Furthermore, an abnormal ultrasonic vocalization pattern (USV) was observed in knock-in (KI) and humanized mouse models carrying mutations in the FOXP2 gene. Although studies have increased our understanding of the genetic causes of speech and language disorders, these genes can only explain a small fraction of all disorders in patients. In this paper, we summarize recent advances and future challenges in an effort to reveal the genetic causes of speech and language disorders in animal models.
A review of the evidence surrounding the safety of medical marijuana authorization for adults with neuropathic pain in primary care

v List of Tables and Figures . vi Acknowledgements . vi
Itraconazole-Related Hypertension: A Case Series and Review of Itraconazole's Cardiovascular Effects

Background Itraconazole is the oral antifungal agent of choice for the treatment of histoplasmosis. Rarely, it can cause cardiovascular adverse effects, including hypokalemia, congestive heart failure, edema, and hypertension. Methods We reviewed the medical records of 12 patients who had been on courses of itraconazole between April 20, 2016, and April 19, 2017. By reviewing blood pressure measurements, medications, and symptoms on clinic visits, we were able to ascertain temporal changes related to the initiation of itraconazole. Results We report a case series of 5 patients who developed new or worsening hypertension while treated with itraconazole. Conclusions Our rate of hypertension was higher than anticipated compared with the package insert rate of 2% to 3%. Given the frequent necessity of prolonged itraconazole treatment and its suspected pathophysiology, prescribers should be aware of itraconazole's cardiovascular effects and should consider investigation into antimineralocorticoid therapies (eg, spironolactone) to limit its adverse effects.
The Roles of Visionary Leadership and Organization Culture Toward the Response of Changes in Higher Education Institution (Survey at International Women University)

The goal of the research is to find out how the visionary leadership and organizational culture affect the response of changes due to the effective provisions of higher education institution accreditation from the National Accreditation Board. The method of the research is a mixed method. The qualitative method applies in leadership interview while the quantitative method applies to employees in International Women University. The research result shows that how the visionary leadership and organizational culture affect the response of changes significantly. While the visionary leadership has been applied in International Women University by the current leadership personnel. Keywords—visionary leadership; organizational culture; response of changes; higher education institution