Miracle-dz/UniFAR-FTUs huggingface dataset:
Sleep Disorders and Fatigue among Health Care Providers Working at University Hospitals

Background and Objective: Sleep disorder and fatigue are common among health care workers (HCWs) and negatively affect their quality of life and caregiving to the patients. Early diagnosis and rapid modification of causative factors might prevent the potential disastrous results of these problems on personal and population health. This study aimed to evaluate the state of sleep and fatigue among HCWs of hospitals affiliated to Mazandaran University of Medical Sciences, Iran, and their related factors. Materials and Methods: This cross-sectional study was conducted from September 2014 to December 2014 among HCWs at hospitals of Mazandaran University of Medical Sciences. Demographic data, medical history, and occupational shift information were recorded. Sleep quality was assessed by the valid and reliable Persian versions of Insomnia Severity Index (ISI) and Pittsburgh Sleep Quality Index (PSQI). Fatigue was evaluated by valid and reliable Persian version of Fatigue Severity Scale (FSS). Statistical analysis was performed using SPSS software. Results: 595 HCWs participated in the study. According to ISI, 48.4% of HCWs experienced subthreshold insomnia, 25.4% were affected by moderate, and 5.0% by severe clinical insomnia. PSQI indicated poor sleep quality in 79.8% of the participants. 71.6% of HCWs had FSS of 4 or more, which was correlated to gender, age, and sleep quality. Correlation of sleep quality components with participants’ shift characteristics was also investigated. Conclusion: Sleep disorders and fatigue are common in HCWs of university hospitals. Correction of certain modifiable factors can reduce negative consequences of sleep disorders and fatigue in HCWs. © 2020 Tehran University of Medical Sciences. All rights reserved.
Multiple epitaxial lateral overgrowth of GaN thin films using a patterned graphene mask by metal organic chemical vapor deposition

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Reliability of the Scale of Barriers for Cardiac Rehabilitation in the Colombian Population

Purpose: Determine the internal consistency and reproducibility test-retest of the Barrier Scale for Cardiac Rehabilitation (BSCR) in Colombian population. Methods: 190 patients (67% men, average age = 65 ± 12 years) completed the scale in two moments, with an average of eight days between applications. Cronbach's Alpha and Intraclass Correlation (ICC) coefficients were calculated. Results: The internal consistency of the Colombian version of the BSCR was good (Cronbach's alpha = 0.85). The ICC of the instrument was 0.69 (95% CI 0.61-0.76), 0.78 (95% CI 0.71-0.84) when used in the interview type, and 0.47 (95% CI 0, 21-0.67) when it was self-completing. Conclusions: The EBRC has an acceptable reliability in the Colombian population, however, its reproducibility decreases when it is self-directed. Identifying barriers using this scale will allow developing strategies to increase participation and adherence to cardiac rehabilitation programs focused on the real needs of patients.
Bacteriophages: Ecological role in the marine environment and potential applications

Bacteriophages (phages) are bacteria-specific viruses. They are the most abundant biological entities on earth (Katsamba and Lauga, 2019). They exist in all ecosystems. The microbiota of healthy humans also contains a large number of bacterial viruses (Van Belleghem et al., 2019). However, presentation of their genomic sequences in public databases is still limited. It was reported that only 1956 bacteriophage genomes are currently available (Kazimierczak et al., 2019). The ecological role of bacteriophages has an effect on bacterial existence, diversity in the ocean, biogeochemical cycles, regulation of nutrients and they are the key players of horizontal gene transfer and control of bacterial population size (Breitbart et al., 2018). Antimicrobial resistance is a main public health problem that can possibly cause an expected 10 million mortalities per year by 2050 (Sugden et al., 2016). The crisis of antimicrobial resistance has been attributed to the absence of new agents or misuse of ARTICLE INFO ABSTRACT Article History: Received: Sept. 3, 2020 Accepted: Oct. 7, 2020 Online: Oct. 17, 2020 _______________
Level fast dyeing of wool with nucleophilic aminoalkyl dyes and crosslinking agents.

Aminoethylaminotriazinyl dyes prepared from available chlorotriazinyl dyes have been applied to wool in the form of non-reactive levelling acid dyes. The nucleophilic pendant amino residue readily underwent crosslinking reactions with wool, using suitable crosslinking reagents to give level dyeings of high wet fastness.
ACSS3 represses prostate cancer progression through downregulating lipid droplet-associated protein PLIN3

Current endocrine therapy for prostate cancer (PCa) mainly inhibits androgen/androgen receptor (AR) signaling. However, due to increased intratumoural androgen synthesis and AR variation, PCa progresses to castration-resistant prostate cancer (CRPC), which ultimately becomes resistant to endocrine therapy. A search for new therapeutic perspectives is urgently needed. Methods: By screening lipid metabolism-related gene sets and bioinformatics analysis in prostate cancer database, we identified the key lipid metabolism-related genes in PCa. Bisulfite genomic Sequence Polymerase Chain Reaction (PCR) (BSP) and Methylation-Specific Polymerase Chain Reaction (PCR) (MSP) were preformed to detect the promoter methylation of ACSS3. Gene expression was analyzed by qRT-PCR, Western blotting, IHC and co-IP. The function of ACSS3 in PCa was measured by CCK-8, Transwell assays. LC/MS, Oil Red O assays and TG and cholesterol measurement assays were to detect the levels of TG and cholesterol in cells. Resistance to Enzalutamide in C4-2 ENZR cells was examined in a xenograft tumorigenesis model in vivo. Results: We found that acyl-CoA synthetase short chain family member 3 (ACSS3) was downregulated and predicted a poor prognosis in PCa. Loss of ACSS3 expression was due to gene promoter methylation. Restoration of ACSS3 expression in PCa cells significantly reduced LD deposits, thus promoting apoptosis by increasing endoplasmic reticulum (ER) stress, and decreasing de novo intratumoral androgen synthesis, inhibiting CRPC progression and reversing Enzalutamide resistance. Mechanistic investigations demonstrated that ACSS3 reduced LD deposits by regulating the stability of the LD coat protein perilipin 3 (PLIN3). Conclusions: Our study demonstrated that ACSS3 represses prostate cancer progression through downregulating lipid droplet-associated protein PLIN3.
Quantitative assessment of inter-individual variability in fMRI-based human brain atlas.

Background Inter-individual variability is an inherent and ineradicable feature of group-level brain atlases that undermines their reliability for clinical and other applications. To date, there have been no reports quantifying inter-individual variability in brain atlases. Methods In the present study, we compared inter-individual variability in nine brain atlases by task-based functional magnetic resonance imaging (MRI) mapping of motor and temporal lobe language regions in both cerebral hemispheres. We analyzed complete motor and language task-based fMRI and T1 data for 893 young, healthy subjects in the Human Connectome Project database. Euclidean distances (EDs) between hotspots in specific brain regions were calculated from task-based fMRI and brain atlas data. General linear model parameters were used to investigate the influence of different brain atlases on signal extraction. Finally, the inter-individual variability of ED and extracted signals and interdependence of relevant indicators were statistically evaluated. Results We found that inter-individual variability of ED varied across the nine brain atlases (P<0.0001 for motor regions and P<0.0001 for language regions). There was no correlation between parcel number and inter-individual variability in left to right (LtoR; P=0.7959 for motor regions and P=0.2002 for language regions) and right to left (RtoL; P=0.7654 for motor regions and P=0.3544 for language regions) ED; however, LtoR (P≤0.0001) and RtoL (P≤0.0001) inter-individual variability differed according to brain region: the LtoR (P=0.0008) and RtoL (P=0.0004) inter-individual variability was greater for the right hand than for the left hand, the LtoR (P=0.0019) and RtoL (P=0.0179) inter-individual variability was greater for the right language than for the left language, but there was no such difference between the right foot and left foot (LtoR, P=0.2469 and RtoL, P=0.6140). Inter-individual variability in one motor region was positively correlated with mean values in the other three motor regions (left hand, P=0.0145; left foot, P=0.0103; right hand, P=0.1318; right foot, P=0.3785). Inter-individual variability in language region was positively correlated with mean values in the four motor regions (left language, P=0.0422; right language, P=0.0514). Signal extraction for LtoR (P<0.0001) and RtoL (P<0.0001) varied across the nine brain atlases, which also showed differences in inter-individual variability. Conclusions These results underscore the importance of quantitatively assessing the inter-individual variability of a brain atlas prior to use, and demonstrate that mapping motor regions by task-based fMRI is an effective method for quantitatively assessing the inter-individual variability in a brain atlas.
Transformation of Generation Processes From Small Runoff Events to Large Floods

Mixture of runoff generation processes poses a challenge for predicting upper flood quantiles. We examined transformations of generation processes from all identifiable runoff events to frequent and upper tail floods for a large set of mesoscale catchments and observed a substantial change of the dominant processes. Two trajectories of transformation were detected. In regions where floods occur almost exclusively in winter the dominance of processes related to snowmelt consistently increases from small events to frequent and upper tail floods. In catchments characterized by frequent winter‐spring floods and occasional summer‐autumn flood events triggered by rare meteorological phenomena (e.g., Vb cyclones), processes that dominate upper tails are not adequately represented in the sample of frequent floods. Predictions of extremes and projections of flood changes might remain highly uncertain in the latter cases.
An Adaptive Forecasting Model for Slice Allocation in Softwarized Networks

Internet Access Service (IAS) is a crucial tool for applications and system. An existing situation which affects the quality of IAS is the Elastic Demand for network resources. This situation arose the need of resource management evolution. The most promising approach for the evolution of IAS is the deployment of Softwarized Networks. Softwarized Networks allow the splitting of network resources into Slices, where each Slice can have the most suitable configuration. Within this context, this article presents a joint approach of an Adaptive Demand Forecasting model (ADF) and an Slice Allocation algorithm to define the most suitable slices structure based on the forecasting of the network resources demand. Experiments, using a real resource demand dataset, suggest that the proposal minimizes the error rate of foreseen values and it improves the network resource usage during the IAS deployment.
Discussion about advantages and defects between MRI and CT

The report introduces two imaging modalities which are MRI and CT. Principles of imaging will be introduced respectively. MRI is based on nuclear magnetic resonance (NMR) while CT is based on pulse-echo reflection of X-ray. Additionally, the development history of MRI is included such as some experiments performed by scientists who contributed a lot in the investigation of MRI. Furthermore, comparisons are made between MRI and CT in cerebral infarction and femoral head necrosis. Advantages and disadvantages are stated after comparison. Additionally, MRI can be widely utilized in chemical manufacture industry and mining detection because magnetic field can be easily established and it can find out internal structure which is essential in supervision.
Influence of insoluble surfactants on shear flow over a surface in Cassie state at large Péclet numbers

Abstract Surfactants can immobilize fluid–liquid interfaces under shear stress. We investigate the impact of insoluble surfactants on shear flow along a superhydrophobic surface in Cassie state, with gas trapped in grooves oriented perpendicular to the flow direction. Assuming convection-dominated transport along the gas–liquid interface, analytical results for the surfactant distribution on a groove and the corresponding flow field in its vicinity are derived both for a single groove and for an array of evenly spaced grooves. The results are elaborated for the case where the surface tension depends linearly on the surfactant concentration, which is characteristic for dilute coverage of the gas–liquid interface. For an array of grooves, the relation between the applied shear stress and the effective slip length on the microstructured surface is investigated.
Paleotemperatures and recurrent habitat shifts drive diversification of treefrogs across distinct biodiversity hotspots in sub‐Amazonian South America

We investigate the biogeographical history and diversification in a treefrog lineage distributed in contrasting (open and forested) ecoregions of South America, including three biodiversity hotspots. We evaluate the role of dispersal and whether other factors such as diversity‐dependence or paleotemperatures could explain the diversification pattern for this group. Especially focusing on the savanna endemics, we illuminate the processes governing the species assembly and evolution of the Cerrado savanna.
Accounting for food web dynamics when assessing the impact of mesopredator control on declining prey populations

1. Increasing populations of mesopredators are suspected to cause declines in vulnerable wildlife to the extent that mesopredator decimation actions (culling) have become commonplace. Design constraints, especially a lack of spatial replication, often hamper the assessment of the impact of such actions. However, extensive temporal replication (i.e. time series) and accounting for potentially confounding variables may alleviate this problem. 2. In alpine-arctic tundra, the red fox Vulpes vulpes is increasing, while many bird species are declining, likely due to increased predation. Here, we assessed the impact of a long-term (12-year) and spatially extensive ( ~ 3,500 km 2 ) red fox culling action on the red-listed willow ptarmigan Lagopus lagopus in the Norwegian Arctic. Ptarmigan populations were monitored annually in the impact area and in an adjacent no-action area, including a 5-year period before the action commenced. While logistical constraints prohibited monitoring of red fox population densities, the number of culled foxes and three influential food web covariates were monitored after the onset of the culling action. 3. A Before-After-Control-Impact-Paired-Series (BACIPS) analysis without food web covariates indicated that red fox culling curbed the decline of the population in the impact area, and that ptarmigan population density became ~
Optimization Model of Traffic Sensor Layout considering Traffic Big Data

In order to improve the accuracy, reliability, and economy of urban traffic information collection, an optimization model of traffic sensor layout is proposed in this paper. Considering the impact of traffic big data, a set of impact factors for traffic sensor layout is established, including system cost, multisource data sharing, data demand, sensor failures, road infrastructure, and sensor type. The impacts of these influential factors are taken into account in the traffic sensor layout optimization problem, which is formulated in the form of multiobjective programming model that includes minimum system cost, maximum truncation flow, minimum path coverage, and an origin-destination (OD) coverage constraint. The model is solved by the tolerant lexicographic method based on a genetic algorithm. A case study shows that the model reflects the influence of multisource data sharing and fault conditions and satisfies the origin-destination coverage constraint to achieve the multiobjective optimization of traffic sensor layout.
Current State of Building Information Modelling in the Nigerian Construction Industry

Several studies have shown that developing countries like Nigeria that need infrastructures are top markets for Architecture, Engineering, and Construction (AEC) industry. Owing to inadequate resources and economic downturn, policies regarding sustainable development and construction have gained remarkable attention. The adoption of new technologies and their effective implementation have become the only way for closing the gap with developed countries (Akdag and Maqsood, 2019). The construction industry is envisioned as the major driver of the economy with 5% increase in GDP growth, other sectors like health, education, transportation and the likes depend heavily on the construction industry (Olanrewaju et al., 2018). The industry is divided into three sectors which include; informal sector, commercial sector, and public sector. Building Information Modeling (BIM) has greater relevance for commercial and public subsectors (Alufohai, 2012). The introduction of technology to activities in the construction industry has proven beyond every reasonable doubt that the future of the industry is hinged on its adoption of technological innovations in its *Corresponding author: oludolapoolanrewaju2012@gmail.com Current State of Building Information Modelling in the Nigerian Construction Industry Received 2020/01/22 Accepted after revision 2020/06/19
Substitutional and solvation effects on conformational equilibria. Effects on the interaction between opposing axial oxygen atoms

Evidence based both on nuclear magnetic resonance and rotation data primarily obtained from methyl 3-deoxy-β-L-erythro-pentopyranoside and a number of its derivatives is interpreted to show that the electrostatic repulsion between the oxygen atoms at the 2 and 4 positions is substantially less when these oxygens are linked to acyl groups than when in the form of either methyl ethers or as hydroxyl groups hydrogen bonded to solvent. Also, experimental evidence is presented which requires the hydrogen bridge between two axially disposed hydroxyl groups to be substantially strengthened by hydrogen bonding of the free hydroxyl by solvent.
Assessment of Factors Contributing to TB Treatment Adherence among Patients on TB Treatment in Kano State, Nigeria: A Case Study

Background: The WHO recommended DOTS has been proven to be very effective in the treatment of tuberculosis (TB) patients. However, despite its effectiveness, non-adherence to the treatment regimen remains a major concern in TB management. This has great consequences which include persistent infectiousness, higher rates of treatment failure, continued transmission, drug resistance, and untimely death. The aim of this study is to examine the factors and behavioural patterns that contribute to treatment adherence among TB patients in Kano State, Nigeria. Methods: A qualitative study design which included two focus group discussions (FGDs) and four key informant interviews (KIIs) were adopted for this study. In total, 20 participants were interviewed comprising 16 focus group discussion participants (8 patients on treatment and 8 individuals who have been cured) divided into two groups and four key informant interviews with 4 health workers in the selected treatment facilities. Data analysis was done by translating and transcribing the responses from the FGDs and KIIs. The transcribed data was analysed using a thematic framework procedure. Results: It was observed that having a good treatment supporter who was effective and very supportive was the most important factor contributing to treatment adherence. Other identified factors that contributed to treatment adherence included: good communication by health personnel, social support from relatives and communities, little or no side effects from drug usage, low cost of transportation to the health facilities, a positive mind set towards drug usage and treatment, support and motivation from health workers, feelings of wellness during treatment, and a balanced diet. All the respondents agreed that treatment adherence had far reaching effects on positive treatment outcomes. Conclusion: For better treatment adherence, a competent treatment supporter should be available for TB patients. Health care workers should ensure that effective communication and a cordial relationship do exist with TB patients. Also, TB patients should be properly counselled before the commencement of their treatment regimen to help them maintain a positive mind-set towards treatment. Finally, TB interventions should provide adequate social support for patients.
Near-term train delay prediction in the Dutch railways network

ABSTRACT Due to the unsuitable train delay prediction methods currently used in the Netherlands, a more accurate delay prediction method is needed. In this work, based on the data provided by the 2018 RAS Problem Solving Competition: Train Delay Forecasting, a data-driven model is established to predict the delay 20 min later. By combining the current delay with the operating conditions, the influencing factors that may influence delay propagation are extracted after analysing the delay propagation mechanisms and train movement data structure. These factors are considered as model input features for random forest regression, via which a prediction model is established. It is found that the random forest model exhibits high prediction accuracy and fast callback in terms of the training model, and ANN, XGBOOST, GBDT, and statistical algorithms are applied as benchmark algorithms. Finally, to complete the study, the importances of different delay influencers are investigated, calculated, and discussed.