bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementation of Online Hospitals and Factors Influencing the Adoption of Mobile Medical Services in China: Cross-Sectional Survey Study
Authors: Wang Huanlin , Liang LanYu , Du ChunLin , Wu YongKang 
Published: January 2021

Background
Online hospitals are part of an innovative model that allows China to explore telemedicine services based on national conditions with large populations, uneven distribution of medical resources, and lack of quality medical resources, especially among residents needing to be protected from COVID-19 infection.

Objective
In this study, we built a hypothesis model based on the Unified Theory of Acceptance and Use of Technology (UTAUT) in order to analyze the factors that may influence patients’ willingness to use mobile medical services. This research was designed to assist in the development of mobile medical services. Residents who do not live in urban areas and cannot access medical assistance would greatly benefit from this research, as they could immediately go to the online hospital when needed.

Methods
A cross-sectional study based at the West China Hospital, Sichuan University, was conducted in July 2020. A total of 407 respondents, 18 to 59 years old, in Western China were recruited by convenience sampling. We also conducted an empirical test for the hypothesis model and applied structural equation modeling to estimate the significance of path coefficients so that we could better understand the influencing factors.

Results
Out of 407 respondents, 95 (23.3%) were aware of online hospitals, while 312 (76.7%) indicated that they have never heard of online hospitals before. Gender (P=.048) and education level (P=.04) affected people’s willingness to use online hospitals, and both of these factors promoted the use of online hospitals (odds ratio [OR] 2.844, 95% CI 1.010-8.003, and OR 2.187, 95% CI 1.031-4.636, respectively). According to structural equation modeling, the results of the path coefficient analysis indicated that performance expectancy, effort expectancy, and facilitating conditions have positive effects on patients’ willingness to use online hospitals.

Conclusions
The goal of our research was to determine the factors that influence patients’ awareness and willingness to use online hospitals. Currently, the public’s awareness and usage of online hospitals is low. In fact, effort expectancy was the most important factor that influenced the use of online hospitals; being female and having a high education also played positive roles toward the use of mobile medical services.
PENGARUH GAYA BELAJAR TERHADAP HASIL BELAJAR: KASUS MAHASISWA PRODI PENDIDIKAN BAHASA DAN SASTRA INDONESIA STKIP YDB LUBUK ALUNG
Authors: Chan Dwi Mutia , Rahman Irawati 
Published: January 2021

Penelitian ini bertujuan untuk mendeskripsikan pengaruh gaya belajar terhadap hasil belajar pada mata kuliah Pengajaran Keterampilan membaca mahasiswa Program Studi Pendidikan Bahasa dan Sastra Indonesia STKIP YDB Lubuk Alung. Metode penelitian ini menggunakan pendekatan kuantitatif. Populasi dalam penelitian ini adalah seluruh mahasiswa semester VI Program Studi Pendidikan Bahasa dan Sastra Indonesia. Sampel dalam penelitian ini adalah keseluruhan mahasiswa Program Studi Pendidikan Bahasa dan Sastra Indonesia sebanyak 37 orang. Variabel dalam penelitian ini adalah variabel bebas (independen) yaitu pengaruh gaya belajar dan variabel terikat (dependent) yaitu kemampuan membaca mahasiswa Program Studi Pendidikan Bahasa dan Sastra Indonesia semester VI. Teknik pengumpulan data menggunakan angket dan instrumen tes membaca. Data hasil penelitian ini dianalisis secara deskriptif dengan statistik sederhana dan menggunakan persentase (%) untuk gaya belajar, sedangkan pengaruh gaya belajar terhadap hasil belajar dianalisis menggunakan regresi sederhana dan ANOVA melalui program SPSS. Hasil penelitian menunjukkan bahwa terdapat pengaruh yang signifikan gaya belajar terhadap mata kuliah keterampilan membaca mahasiswa Program Studi Pendidikan Bahasa dan Sastra Indonesia STKIP YDB Lubuk Alung. Hasil analisis data, menunjukkan bahwa koofisien korelasi (ry) = 0,366 dengan . Jadi dapat disimpulkan bahwa hipotesis yang berbunyi bahwa gaya belajar mahasiswa berpengaruh terhadap hasil belajar mahasiswa dapat diterima pada taraf kepercayaan 95%. Besaran pengaruh belajar mahasiswa terhadap hasil belajar mahasiswa 13,4%.
Benign Prostatic Hyperplasia
Authors: Barry Michael J 
Published: January 2021

Benign prostatic hyperplasia (BPH) is a common cause of morbidity in older men in developed countries. BPH causes lower urinary tract symptoms (LUTS) and occasionally results in such complications as acute urinary retention (AUR), urinary tract infection, and even obstructive uropathy. Although the development of medical treatments has reduced the role of surgery, prostatectomy remains a widely performed procedure. Epidemiology, risk factors, and pathophysiology are discussed. Diagnosis includes clinical features, history, physical examination, and laboratory testing. Management can include watchful waiting, medical treatment, surgery, and minimally invasive treatment. Management of AUR is also addressed.

This review contains 4 figures, 10 tables, and 58 references.
Keywords: Benign prostatic hyperplasia, lower urinary tract symptoms, urinary retention, incontinence, alpha blocker, 5α-reductase inhibitor, cystoscopy, transurethral intervention
Approach to the Patient with Kidney Disease
Authors: Singh Ajay K , Kari Jameela A. 
Published: January 2021

Diseases of the kidney can present with a variety of different clinical presentations. These presentations are best considered syndromically: prerenal, renal, and postrenal. Besides this commonly used framework, kidney disease can have the kidney as the prime mover, such as with a primary glomerular disease, versus the kidney as a target of a systemic process, for example, as in the hepatorenal syndrome, where the primary abnormality physiologically is with the liver. Therefore, the most important aspect when approaching patients with kidney disease is to use a systematic framework. This framework applies regardless of whether kidney disease occurs in adults or children. This review covers determination of disease duration, assessment of kidney function, measurement of kidney function, staging of kidney disease, imaging techniques for the genitourinary system, major syndromes of kidney disease, and asymptomatic urinary sediment abnormalities. Figures show an approach to the patient with renal disease, components of urinary sediment, and an approach to the patient with hematuria. Tables list considerations for referral to nephrology, the National Kidney Foundation classification of chronic kidney disease, categories of proteinuria, correlation between dipstick positivity for protein and protein concentration in urine, causes of hematuria, and causes of hematuria by age and gender.

This review contains 3 highly rendered figures, 6 tables, and 26 references.
Prediabetes, Diabetes, and the Risk of All-Cause and Cause-Specific Mortality in a Japanese Working Population: Japan Epidemiology Collaboration on Occupational Health Study
Authors: Islam Zobida , Akter Shamima , Inoue Yosuke , Hu Huan , Kuwahara Keisuke , Nakagawa Tohru , Honda Toru , Yamamoto Shuichiro , Okazaki Hiroko , Miyamoto Toshiaki , Ogasawara Takayuki , Sasaki Naoko , Uehara Akihiko , Yamamoto Makoto , Kochi Takeshi , Eguchi Masafumi , Shirasaka Taiki , Shimizu Makiko , Nagahama Satsue , Hori Ai , Imai Teppei , Nishihara Akiko , Tomita Kentaro , Sone Tomofumi , Konishi Maki , Kabe Isamu , Mizoue Tetsuya , Dohi Seitaro 
Published: January 2021

OBJECTIVE
Prediabetes has been suggested to increase risk for death; however, the definitions of prediabetes that can predict death remain elusive. We prospectively investigated the association of multiple definitions of prediabetes with the risk of death from all causes, cardiovascular disease (CVD), and cancer in Japanese workers.

RESEARCH DESIGN AND METHODS
The study included 62,785 workers who underwent a health checkup in 2010 or 2011 and were followed up for death from 2012 to March 2019. Prediabetes was defined according to fasting plasma glucose (FPG) or glycated hemoglobin (HbA1c) values or a combination of both using the American Diabetes Association (ADA) or World Health Organization (WHO)/International Expert Committee (IEC) criteria. The Cox proportional hazards regression model was used to investigate the associations.

RESULTS
Over a 7-year follow-up, 229 deaths were documented. Compared with normoglycemia, prediabetes defined according to ADA criteria was associated with a higher risk of all-cause mortality (hazard ratio [HR] 1.53; 95% CI 1.12–2.09) and death due to cancer (HR 2.37; 95% CI 1.45–3.89) but not with death due to CVD. The results were materially unchanged when prediabetes was defined according to ADA FPG, ADA HbA1c, WHO FPG, or combined WHO/IEC criteria. Diabetes was associated with the risk of all-cause, CVD, and cancer deaths.

CONCLUSIONS
In a cohort of Japanese workers, FPG- and HbA1c-defined prediabetes, according to ADA or WHO/IEC, were associated with a significantly increased risk of death from all causes and cancer but not CVD.
A Bibliometric Review of Stock Market Prediction: Perspective of Emerging Markets
Authors: Somanathan Arjun Remadevi , Rama Suprabha Kudigrama 
Published: January 2021

Abstract
The objective of the paper is to identify predictive models in stock market prediction focusing on a scenario of the emerging markets. An exploratory analysis and conceptual modelling based on the extant literature during 1933 to 2020 have been used in the study. The databases of Web of Science, Scopus, and JSTOR ensure the reliability of the literature. Bibliometrics and scientometric techniques have been applied to the retrieved articles to create a conceptual framework by mapping interlinks and limitations in past studies. Focus of research is hybrid models that integrate big data, social media, and real-time streaming data. Key finding is that actual phenomena affecting stock market sectors are diverse and, hence, limited in generalization. The future research must focus on models empirically validated within the emerging markets. Such an approach will offer an insight to analysts and researchers, policymakers or regulators.
Lightweight Coordination Patterns for Applications of the Internet of Things
Authors: Mufti Waseem Akhtar 
Published: January 2021

Abstract
Applications of the Internet of Things (IoT) are famously known for connecting devices via the internet. The main purpose of IoT systems (wireless or wired) is to connect devices together for data collection, buffering and data gateway. The collected large size of data is often captured from remote sources for automatic data analytics or for direct decision making by its users. This paper applies the programming pattern for Big Data in IoT systems that makes use of lightweight Java methods, introduced in the recently published work on ClientNet Distributed Cluster. Considering Big Data in IoT systems means the sensing of data from different resources, the network of IoT devices collaborating in data collection and processing; and the gateways servers where the resulting big data is supposed to be directed or further processed. This mainly involves resolving the issues of Big Data, i.e., the size and the network transfer speed along with many other issues of coordination and concurrency. The computer network that connects IoT may further include techniques such as Fog and Edge computing that resolve much of the network issues. This paper provides solutions to these problems that occur in wireless and wired systems. The talk is about the ClientNet programming model and its application in IoT systems for orchestration, such as coordination, data communication, device identification and synchronization between the gateway servers and devices. These devices include sensors attached with appliances (e.g., home automations, supply chain systems, light and heavy machines, vehicles, power grids etc.) or buildings, bridges and computers running data processing applications. As described in earlier papers, the introduced ClientNet techniques prevent from big data transfers and streaming that occupy more resources (hardware and bandwidth) and time. The idea is motivated by Big Data problems that make it difficult to collect it from different resources through small devices and then redirecting it. The proposed programming model of ClientNet Distributed Cluster stores Big Data on the nearest server coordinated by the nearest coordinator. The gateways and the systems that run analytics programs communicate by running programs from other computers when it is essentially required. This makes it possible to let Big Data rarely move across a communication network and allow only the source code to move around the network. The given programming model greatly simplifies data communication overheads, communication patterns among devices, networks and servers.
The Effects of Antioxidants Provided with Feed on Certain Quality Parameters of Bull Semen Under Heat Stress Conditions
Authors: Slobodan Petrović , Milan Maletić , Nada Lakić , Nevenka Aleksić , Jelena Maletić , Marko Ristanić , Zoran Stanimirović 
Published: January 2021

Abstract
The aim of the current research was to assess the effects of the feed additive made of lyophilised melon juice (source of superoxide dismutase, SOD) and inactivated live Saccharomyces cerevisiae (strain R397) cells added to the feed via the product containing high levels of organically bound selenium (source of selenium-dependant glutathione peroxidase, Se-GPx) on the semen quality of bulls in heat stress conditions. The 15 bulls chosen for the experiment were assigned to three equal groups (control –group C; treated group M, given the source of SOD; and group A, treated with the source of Se-GPx). The research was conducted in summer. The activities of SOD and Se-GPx in seminal plasma were determined spectrophotometrically. Computer-assisted semen analysis was done to determine the sperm counts, motility and velocity. The temperature and humidity were recorded with a digital data logger.
The average SOD activity in the control bulls was significantly lower than in M (p<0.001) and A (p<0.001), whilst the average activities in the treated groups did not differ significantly (p=0.784). Higher average SOD activity compared to the control in the treated groups showed that both feed additives increased the antioxidative capacity of the seminal fluid. The average GPx activity in the control was significantly lower than in groups A (p=0.001) and M (p=0.005), whilst the two treatments did not lead to significantly different results (p=0.701). The analysis of relations between the activity of each enzyme and sperm motility and progressive motility in each of the bulls failed to detect a significant correlation. The analysis of the relation between THI (temperature-humidity index) and the activity of the antioxidative enzymes revealed that the increase in THI coincided with the decrease in the SOD activity in the control group, but with its increase in the treated groups (p>0.05). In all of the three groups with the increase in THI there was an increase in GPx activity (p>0.05). It can be concluded that in all of the three groups of bulls there was an increase in the activity of both enzymes in the seminal plasma, but the increase was significantly lower in the control. Thus, the antioxidative capacity of the seminal plasma of untreated bulls was proven to be lower in comparison with those of the treated animals.
Corporate governance in the public sector: Reflections on experience in Ireland
Authors: Horan Aidan , Mulreany Michael 
Published: January 2021

Abstract
The article proceeds from the context for corporate governance in the public sector in Ireland. It examines the adoption and evolution of corporate governance guidance, standards and codes, and focuses on the Code of Practice for the Governance of State Bodies. In reflecting on the scope and depth of the provisions of the state body code, the article points to various implementation challenges using examples in the areas of culture, risk appetite and assurance arrangements. The article concludes by pointing to future challenges and suggestions for a research agenda for corporate governance in the public sector in Ireland.
Effect of Different Sized Multi Walled Carbon Nanotubes on the Barrier Potential and Trap Concentration of Malachite Green Dye Based Organic Device
Authors: Sen Sudipta , Manik N. B. 
Published: January 2021

Abstract
Present work shows effect of 8 nm diameter and 30 nm diameter multi walled carbon nanotubes (MWCNT) on the barrier potential and trap concentration of Malachite Green (MG) dye based organic device. MWCNTs are basically a bundle of concentric single-walled carbon nanotubes with different diameters. In this work, ITO coated glass substrate and aluminium have been used as front electrode and back electrode respectively and the spin coating method is used to prepare the MG dye based organic device. It has been observed that both barrier potential and trap concentration are in correlation. Estimation of both these parameters has been done from current-voltage characteristics of the device to estimate the trap energy and the barrier potential of the device. Device turn-on voltage or the transition voltage is also calculated by using current-voltage characteristics. In presence of 8 nm diameter MWCNT, the transition voltage is reduced from 3.9 V to 2.37 V, the barrier potential is lowered to 0.97 eV from 1.12 eV and the trap energy is lowered to 0.028 eV from 0.046 eV whereas incorporation of 30 nm diameter MWCNT shows reduction of transition voltage from 3.9 V to 2.71 V and a reduction of barrier potential and trap concentration from 1.12 eV to 1.03 eV and from 0.046 eV to 0.035 eV respectively. Presence of both 8 nm diameter and 30 nm diameter MWCNT lowers trap energy approximately to 39% and 24% respectively and lowers barrier potential approximately to 13% and 8% respectively. Estimation of barrier potential is also done by Norde method which shows lowering of the value from 0.88 eV to 0.79 eV and from 0.88 eV to 0.84 eV in presence of both 8 nm and 30 nm diameter multi walled carbon nanotubes respectively. Calculation of barrier potential from both the I-V characteristics and Norde method are in unison with each other. Indication of enhancement of charge flow in the device can be ascribed to the truncated values of barrier potential and trap energy.
Influence of Stick Electrode Coating’s Moisture Content on the Diffusible Hydrogen in Underwater Wet Shielded Metal Arc Welding
Authors: Klett J. , Hassel T. 
Published: January 2021

Abstract
In shielded metal arc welding, the major factors influencing hydrogen uptake into the weld metal are (i) the hydrogen content of the base metal, (ii) hydrogen input by the welding consumable, and (iii) the hydrogen introduced by the atmosphere surrounding the arc process. In this study, the relative contribution of these factors is investigated and compared to each other for the case of underwater wet shielded metal arc welding. To assess the influence of the stick electrode’s moisture (capillary introduced water during handling operations) on the diffusible hydrogen in wet welded samples, wet and dry electrodes were welded at four different water depths. The moisture was absorbed through the sharpened electrode tip only, to ensure close to service conditions. The results show that the moist stick electrode coatings lead to 22.6% higher average diffusible hydrogen content in the weld metal (0.5 m water depth an average). However, the effect disappears with increasing water depths (no difference in 60 m water depth).
Metallurgical Characterization and Kinetics of Borided 34CrNiMo6 Steel
Authors: Ucar N. , Yigit M. , Calik A. 
Published: January 2021

Abstract
Boriding of 34CrNiMo6 steel was performed in a solid medium consisting of Ekabor-II powders at 1123, 1173 and 1223 K for 2, 4 and 6 h. Morphological and kinetic examinations of the boride layers were carried out by optical microscopy, scanning electron microscopy (SEM) and X-ray diffraction (XRD). The thicknesses of the boride layers ranged from 22±2.3 to 145±4.1 depending on boriding temperature and time. The hardness of boride layer was about 1857 HV0.1 after boriding for 6 h at 1223 K, while the hardness of the substrate was only around 238 HV0.1. Growth rate constants were found to be between 1.2×10−13 – 9.8×10−13 m2/s depending on temperature. The activation energy for boron diffusion was estimated as 239.4±8.6 kJ mol−1. This value was comparable to the activation energies reported for medium carbon steels in the literature.
Agricultural Product Recommendation Model based on BMF
Authors: Wan Fucheng , Zhu Dengyun , He Xiangzhen , Guo Qi , Zhang Dongjiao , Ren Zhenyang , Du Yuxiang 
Published: January 2021

Abstract
In this article, based on the collaborative deep learning (CDL) and convolutional matrix factorisation (ConvMF), the language model BERT is used to replace the traditional word vector construction method, and the bidirectional long–short time memory network Bi-LSTM is used to construct an improved collaborative filtering model BMF, which not only solves the phenomenon of ‘polysemy’, but also alleviates the problem of sparse scoring matrix data. Experiments show that the proposed model is effective and superior to CDL and ConvMF. The trained MSE value is 1.031, which is 9.7% lower than ConvMF.
Optimization of Peroxidase Activity of Turnip (Brassica rapa) Using Response Surface Methodology
Authors: Dahdouh Amel , Bachir-Bey Mostapha , Kati Djamel Edine 
Published: January 2021

Abstract
The present study is focused on the determination of optimized activity conditions of peroxidase (POD) of turnip (Brassica rapa). The enzyme is extracted from turnip with 0.5M Na2HPO4 (pH7.0). Peroxidase activity is evaluated by monitoring the oxidation of guaiacol to tetraguaiacol in the presence of hydrogen peroxide (H2O2). Before the optimization of peroxidase activity from a turnip by response surface methodology (RSM), a preliminary step is conducted for each studied parameter (pH, temperature, and NaCl concentration). Further, RSM following Box-Behnken design is used in order to refine the optimization of the conditions. Response surface analysis showed that parameter values with the highest peroxidase activity are 5.9, 29.8°C, and 1.07M for pH, temperature, and NaCl, respectively. Under these experimental conditions, peroxidase activity is found to be 4027.25U/mg. The obtained experimental value agrees with that of the calculated one, indicating the pertinence of the developed model for the optimization of peroxidase activity.
Biscuits from Fermented Roasted Buckwheat Flour - Phenolics Profile and Bioaccessible Angiotensin Converting Enzyme Inhibitory Activity
Authors: Wronkowska Małgorzata , Honke Joanna , Zieliński Henryk , Wiczkowski Wiesław 
Published: January 2021

Abstract
The bioaccessible angiotensin converting enzyme (ACE) inhibitory activity of biscuits formulated from roasted common buckwheat flour after fermentation by select bacteria was studied. The same content of total phenolic compounds was found in fermented flour and in biscuits obtained from them. Generally, fermentation of flour did not changes the ACE inhibitory activity, whereas baking process significantly increased the ACE inhibitory activity of examined products. The potential bioaccessible ACE inhibitory activity from biscuits was very high. Phenolic acids such as protocatechuic, vanillic and syringic acids as well as flavonoids: kaempferol and epicatechin in the digested buckwheat biscuits have the highest impact on ACE inhibitory activity. A high significant correlations were found between IC50 and total phenolic compounds of fermented flours, biscuits before and after digestion. The data obtained in this study closely associates phenolic compounds with ACE inhibitory activity.