bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of HRQoL and its Determinants for Kidney Stone Formers in urological settings of Pakistan
Authors: Ali Zulnorain , Khan Ahmad , Mehmood Tahir , Malik Obaidullah , Khan Jallat , el-emir zein 
Published: July 2022

Abstract
Background
Quality of life is the central health-improving goal. Urolithiasis is a complex disease related to disease-related morbidity and consequently effecting patient’s health-related quality of life (HRQoL). The study aims to evaluate the HRQoL and markers of HRQoL of kidney stone formers using a disease-specific instrument.
Methods
HRQoL of kidney stone formers were compared with healthy individuals using Wisconsin stone quality of life (WISQoL) questionnaire. A prospective, cross-sectional, case-control study was conducted at different urological settings of Rawalpindi, Pakistan.
Result
Multivariate analysis of variance (MANOVA) analysis depicted that compared with healthy individuals stone formers reported statistically significant (p < 0.001) differences in HRQoL in overall health and all the four domains of WISQoL i.e., social, emotional, disease impact and impact on vitality. Regression analysis evaluated that demographic factors, clinical features of the disease and surgical procedure for active removal of stone are major determinants of QoL for stone formers (p < 0.05).
Conclusion
It was concluded that urolithiasis, its various disease related characteristics along with its management choices, is compromising patient’s quality of life in all major domains of health. WISQoL questionnaire was proved to be a reliable disease-specific instrument for the assessment of HRQoL of kidney stone patients.
Influence of Nano-Silica on the Mechanical Properties of Jute/Glass Fiber Reinforced Epoxy Hybrid Composites
Authors: ERKLİĞ Ahmet , BOZKURT Ömer Yavuz , AL-TEKREETI Wassan Falah 
Published: July 2022

Natural composites have gained importance recently due to increasing environmental factors and relatively low cost. Although their biodegradability, low density, and high processability, the use of natural fibers in composite materials as the only reinforcement phase faces with some challenges due to their disadvantages such as high moisture absorption and low mechanical properties. To overcome these issues, the natural fibers are generally utilized in composite materials by synthesizing with synthetic fibers. In this context, jute/epoxy composites have been hybridized with glass fiber layers and nano-silica particles to improve low mechanical properties, and the contributions of hybridization on mechanical properties are investigated through performing tensile, bending, and impact tests. Nano-silica particles in the ratio of 1%, 2%, and 3% by weight have been used in composite production. Three different hybrid configurations (G1J6G1, J3G2J3, J2G1J2G1J2) are tested as well as pure jute/epoxy and pure glass/epoxy composites. According to the experimental results, nano-silica additive has a significant effect on both non-hybrid and hybrid fiber reinforced composites. By using the glass fiber layer on the outer surface, the
highest tensile strength, flexural strength, and impact behavior have been achieved in the G1J6G1 hybrid configuration.
Performance assessment of interpolation techniques for optimal areal rainfall–temperature estimation: the case of two contrasting river catchments, Akaki and Mille, in Ethiopia
Authors: Bati Hirpo Gudeta , Tegaye Tenalem Ayenew , Agumassie Tena Alemirew 
Published: July 2022

AbstractIn the topographic complex catchments, landscape features have a significant impact on the spatial prediction of rainfall and temperature. In this study, performance assessments were made of various interpolation techniques for the prediction of the spatial distribution of rainfall and temperature in the Mille and Akaki River catchments, Ethiopia, through an improved approach on selecting the auxiliary variables as a covariate. Two geostatistical interpolation techniques, ordinary kriging (OK) and kriging with external drift (KED), and one deterministic interpolation technique, inverse distance weighting (IDW), were tested through a leave-one-out cross-validation (LOOCV) procedure. The results indicated that using the multivariate geostatistical interpolation technique (KED) with the auxiliary variables as a covsariate outperformed the univariate geostatistical (OK) and deterministic (IDW) techniques for the spatial interpolation of sampled rainfall–temperature data in both contrasting catchments, Akaki and Mille, with the lowest estimation errors (e.g., for Mille annual mean rainfall: root mean square error=75.32, 77.34, 245.72, mean bias error=3.70, −33.18, −15.61, mean absolute error=67.99, 69.51, 192.64) using KED with the combination of elevation and easting as a covariate, IDW and OK, respectively. Thus, the study confirmed that the use of elevation and easting/northing coordinates as predictors in geostatistical interpolation techniques could significantly improve the spatial prediction of climatic variables.
A systematic quantitative review on the performance of some of the recent short-term rainfall forecasting techniques
Authors: Ashok Shejule Priya , Pekkat Sreeja 
Published: July 2022

Abstract
Rainfall forecasting is a high-priority research problem due to the complex interplay of multiple factors. Despite extensive studies, a systematic quantitative review of recent developments in rainfall forecasting is lacking in the literature. This study conducted a systematic quantitative review of statistical, numerical weather prediction (NWP) and machine learning (ML) techniques for rainfall forecasting. The review adopted the preferred reporting items for systematic reviews and meta-analyses (PRISMA) technique for screening keywords and abstracts, leading to 110 qualified papers from multiple databases. The impact of rainfall threshold, meteorological parameters, topography, algorithm techniques, geographic location, the horizontal resolution of the model, and lead time on rainfall forecast was examined. The review shows the importance of precipitable water vapor (PWV) along with other meteorological parameters for accurate nowcasting in coastal and mountainous regions. An increase in rainfall forecast uncertainty with an increase in the lead time makes the NWP model less popular for the short-term forecast. The pre-processing techniques increased the accuracy of ML techniques by considering extreme values and detecting the irregularly distributed multi-scale features of rainfall in space and time. Future research can focus on hybrid models with improved accuracy for nowcasting. The output from the hybrid model serves as input for the decision support system required for urban flood risk management.
Analysis of packaged drinking water use in Indonesia in the last decades: trends, socio-economic determinants, and safety aspect
Authors: Ikhsan Arman Nur , Thohira Morrin Choirunnisa , Daniel D. 
Published: July 2022

Abstract
This study combines multiple data and analyses to gain insights into the trend of the use of packaged drinking water (PDW) in Indonesia, including the national survey to analyze the trends of PDW consumption, the Demographic Health Survey data to discover the socio-economic determinants of PDW consumption, and the systematic literature review to assess the quality and safety of PDW. The increasing rate of PDW consumption per year in Indonesia was 1.24% from 2000 to 2020 annually, and 50% of the Indonesian population is predicted to consume PDW in 2026. The increasing use of PDW in Indonesia was significantly associated with the economic growth of the country, i.e., proxied by the gross domestic product and urban population. Moreover, the use of PDW by households was significantly associated with the age of the household head, mother's educational level, father's educational level, wealth index, types of residence, regions, and types of toilet facility. The findings suggest that young people in urban areas would dominate the PDW consumer in Indonesia. Additionally, previous studies indicated that PDW in Indonesia is often contaminated. Thus, this study underlines the need to improve the quality and safety aspects of PDW to minimize its negative health effects.
Circulating Genotypes of Hepatitis C Virus in Italian Patients before and after the Application of Wider Access Criteria to HCV Treatment
Authors: Zago Daniela , Pozzetto Irene , Pacenti Monia , Brancaccio Giuseppina , Ragolia Silvia , Basso Monica , Parisi Saverio Giuseppe 
Published: July 2022

Aims:
The aims of this study were to report a description of the HCV genotype distribution in adult Italians and non-Italians subjects tested in the Microbiology and Virology Unit of the Padova University Hospital from January 2016 (after about one year from the availability of DAAs) to December 2018 and to compare genotype frequencies in the 12-month period before and after the application of the wider access criteria to HCV treatment.

Background:
Hepatitis C virus (HCV) infection is a major health problem, but the availability of direct-acting antivirals (DAAs) has dramatically changed HCV disease natural history because these drugs have excellent tolerability and they can eliminate the virus in almost all treated patients.

Objective:
The objective was to describe the circulating HCV genotypes in high-income countries in order to help health authorities in the future organization of DAAs treatment strategies; this aspect is not limited to drug prescription, but it also includes the identification of infected individuals who are undiagnosed, which is the limiting step to achieve the HCV elimination goal.

Methods:
Adult patients who had HCV genotype performed from 01/01/16 to 31/12/18 in the Microbiology and Virology Unit of the Padova University Hospital were included in the study: the two 12-month periods were April 2016-March 2017 (before period, BEF) and April 2017-March 2018 (after period, AFT).

Results:
Italians were 2168 (91.2%) and non-Italians were 208 (8.8%). Italians median age was 55 years, and females were older. Italians had a lower genotype 1 (p=0.0012) and higher genotype 2 frequencies (p<0.0001) with respect to non-Italians. Most patients aged 38-67 years: Italians were more represented in class age 48-57 years (p=0.0138), 68-77 years (p=0.001) and ≥78 years (p<0.0001); subjects with genotype 3 were the youngest and those with genotype 2 the oldest. Italian patients typed in the AFT and BEF were comparable; only a lower frequency of genotype 1 males and younger age in genotype 3 were found in AFT.

Conclusion:
Italians were older with respect to non-Italians, which implies that a different age based screening program could be applied. Italian genotype 3 subjects represent a cohort to focus on for the risk of therapeutic failure. Patients tested after the extended criteria for HCV treatment were very similar to those tested before, suggesting that HCV burden in Italians is higher than expected.
Detection of Depression Severity Using Bengali Social Media Posts on Mental Health: Study Using Natural Language Processing Techniques
Authors: Kabir Muhammad Khubayeeb , Islam Maisha , Kabir Anika Nahian Binte , Haque Adiba , Rhaman Md Khalilur 
Published: July 2022

Background
There are a myriad of language cues that indicate depression in written texts, and natural language processing (NLP) researchers have proven the ability of machine learning and deep learning approaches to detect these cues. However, to date, these approaches bridging NLP and the domain of mental health for Bengali literature are not comprehensive. The Bengali-speaking population can express emotions in their native language in greater detail.

Objective
Our goal is to detect the severity of depression using Bengali texts by generating a novel Bengali corpus of depressive posts. We collaborated with mental health experts to generate a clinically sound labeling scheme and an annotated corpus to train machine learning and deep learning models.

Methods
We conducted a study using Bengali text-based data from blogs and open source platforms. We constructed a procedure for annotated corpus generation and extraction of textual information from Bengali literature for predictive analysis. We developed our own structured data set and designed a clinically sound labeling scheme with the help of mental health professionals, adhering to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) during the process. We used 5 machine learning models for detecting the severity of depression: kernel support vector machine (SVM), random forest, logistic regression K-nearest neighbor (KNN), and complement naive Bayes (NB). For the deep learning approach, we used long short-term memory (LSTM) units and gated recurrent units (GRUs) coupled with convolutional blocks or self-attention layers. Finally, we aimed for enhanced outcomes by using state-of-the-art pretrained language models.

Results
The independent recurrent neural network (RNN) models yielded the highest accuracies and weighted F1 scores. GRUs, in particular, produced 81% accuracy. The hybrid architectures could not surpass the RNNs in terms of performance. Kernel SVM with term frequency–inverse document frequency (TF-IDF) embeddings generated 78% accuracy on test data. We used validation and training loss curves to observe and report the performance of our architectures. Overall, the number of available data remained the limitation of our experiment.

Conclusions
The findings from our experimental setup indicate that machine learning and deep learning models are fairly capable of assessing the severity of mental health issues from texts. For the future, we suggest more research endeavors to increase the volume of Bengali text data, in particular, so that modern architectures reach improved generalization capability.
Self-management Interventions for People With Parkinson Disease: Scoping Review
Authors: Milne-Ives Madison , Carroll Camille , Meinert Edward 
Published: July 2022

Background
Parkinson disease can impose substantial distress and costs on patients, their families and caregivers, and health care systems. To address these burdens for families and health care systems, there is a need to better support patient self-management. To achieve this, an overview of the current state of the literature on self-management is needed to identify what is being done, how well it is working, and what might be missing.

Objective
The aim of this scoping review was to provide an overview of the current body of research on self-management interventions for people with Parkinson disease and identify any knowledge gaps.

Methods
The PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) and Population, Intervention, Comparator, Outcome, and Study type frameworks were used to structure the methodology of the review. Due to time and resource constraints, 1 reviewer systematically searched 4 databases (PubMed, Ovid, Scopus, and Web of Science) for the evaluations of self-management interventions for Parkinson disease published in English. The references were screened using the EndNote X9 citation management software, titles and abstracts were manually reviewed, and studies were selected for inclusion based on the eligibility criteria. Data were extracted into a pre-established form and synthesized in a descriptive analysis.

Results
There was variation among the studies on study design, sample size, intervention type, and outcomes measured. The randomized controlled trials had the strongest evidence of effectiveness: 5 out of 8 randomized controlled trials found a significant difference between groups favoring the intervention on their primary outcome, and the remaining 3 had significant effects on at least some of the secondary outcomes. The 2 interventions included in the review that targeted mental health outcomes both found significant changes over time, and the 3 algorithms evaluated performed well. The remaining studies examined patient perceptions, acceptability, and cost-effectiveness and found generally positive results.

Conclusions
This scoping review identified a wide variety of interventions designed to support various aspects of self-management for people with Parkinson disease. The studies all generally reported positive results, and although the strength of the evidence varied, it suggests that self-management interventions are promising for improving the care and outcomes of people with Parkinson disease. However, the research tended to focus on the motor aspects of Parkinson disease, with few nonmotor or holistic interventions, and there was a lack of evaluation of cost-effectiveness. This research will be important to providing self-management interventions that meet the varied and diverse needs of people with Parkinson disease and determining which interventions are worth promoting for widespread adoption.
Folktale 'Wendit' as the material staging the local folktale of Malang in effort to accomplish an international collaboration
Authors: Setyaningrum Rina Wahyu , Gusdian Rosalin Ismayoeng , Lestiono Riski 
Published: July 2022

This community service program focused on assisting SD Aisyiyah Kota Malang to play a virtual drama entitled ‘The Tale of Wendit' as the material staging the local folktale of Malang in effort to accomplish an international collaboration with Dajeong School Korea. The community service was carried out by sharing session about virtual drama performance, casting, rehearsals, videotaping, video launching, and virtual drama performance to teachers and students of Dajeong Primary School, Korea. Every session provided both English for Young Learners’ teachers and students opportunities to practice their reading and speaking for the performance. Besides, they also learned how to deal with digital platforms used for the rehearsal and virtual performance. The findings revealed that it was possible for teachers and students to include literature in English for Young Learners (EYL) learning in this digital era. During this pandemic, virtual drama performance can be carried out in primary school which has similar characteristics with the school where the community service was conducted.
Penerapan Aplikasi E-Court di Pengadilan Agama Sungguminasa Kelas I B
Authors: Ali Nur Atira , Bakry Muammar , R. Abd. Rahman 
Published: July 2022

Penelitian ini bertujuan untuk mengetahui penerapan aplikasi e-court di Pengadilan Agama Sungguminasa Kelas I B. Penelitian ini merupakan penelitian kualitatif dengan pendekatan yuridis Sumber data utama dalam penelitian ini yaitu wawancara kepada hakim, panitera, dan advokat yang mengetahui jelas mengenai penerapan aplikasi e-court di Pengadilan Agama Sungguminasa kelas I B. Selanjutnya pengumpulan data pada penelitian ini menggunakan observasi, wawancara dan dokumentasi. Sedangkan teknik pengelolahan dan analisis data dilakukan melalui tiga tahapan yaitu: reduksi data, penyajian data dan penarikan kesimpulan. Hasil penelitian menjukan bahwa penerapan aplikasi e-court belum maksimal. Hal ini dapat dilihat dari pengguna aplikasi e-court hanya dari pengguna terdaftar (Advokat) dan belum satupun digunakan oleh pengguna lain (non Advokat), hal tersebut disebabkan karena Sumber Daya Manusia (SDM) yang kurang di bidang Teknologi Informasi (TI). Oleh karena itu, manfaat dari aplikasi e-court hanya dapat dirasakan oleh sebagian golongan saja yakni bagi masyarakat yang melek akan tekhnologi dan yang selalu aktif untuk mendapatkan informasi tentang aplikasi e-court.
Kata Kunci: Penerapan, Aplikasi E-court, Teknologi Informasi
FACTORS RELATED TO THE RESPONSE TIME OF NURSING IN EMERGENCY PATIENTS MANAGEMENT
Authors: Saktiawati Saktiawati , Silvah Silvah , Ilham M. Irsan Arief 
Published: July 2022

Background:One indicator of the successful prevention of medical emergency patients is the response time of health workers. Response time A fast will reduce the incidence of death by about 30%, on the other hand, if the delayed response time is will have an adverse impact, resulting in permanent disability and death.Objective:This study aims to determine the factors related to the response time of nurses in handling emergencies in the Emergency Room(IGD), Operating Room (OK), and Intensive Care Unit (ICU) at Ilagaligo East Luwu Hospital 2020. Method: Thestudy is a cross-sectional study. The population in this study were all nurses in the IGD, OK, and ICU Lagaligo I Hospital, East Luwu. The sampling technique was total sampling with a total of60 nurses.Result:The results showed that there was a relationship (p-value <0.034) between education (p = 0.05), years of service (p = 0.016), and training (p = 0.034) with the response time of nurses at Lagaligo I Hospital in 2020. It is hoped that the hospital will continue to encourage staff/employees, in this case, nurses, to continue their education and continuous training to support the professionalism of all nurses. Conclusion:The incidence of the response time of slownurses in patients is due to the absence of good cooperation with the patient's family.It is hoped that the hospital will provide support and motivation to nurses to improve their education by existing standards.
STUDY ON THE APPLICATION OF AUDIT FIRE MANAGEMENT SYSTEM IN RS X DISTRICT Y
Authors: Azriful Azriful iful , Ibrahim Hasbi , Herlina Herlina , Mallapiang Fatmawaty 
Published: July 2022

Background: According to the Indonesian National Standard number 03-3985-2000, fire is a phenomenon that occurs when a material reaches a critical temperature and reacts chemically with oxygen to produce heat, flames, light, water vapor, carbon monoxide, or other products and effects. Fires are caused by various factors, either due to human factors or technical factors.Objective: This study aims to determine the application of fire management system audits in RS X Regency Y. Method:With a qualitative method through a case study approach.Determination of informants using the snowball method. Data collection was carried out by observation and in-depth interviews which were processed using content analysis, and triangulation of sources and methods was carried out.Result:The results showed that RS X had formed a fire organization by-laws and regulations, fire procedures did not run well when a fire broke out, and during the simulation, there were still technical obstacles when using fire tools.Conclusion:It is hoped that the management of X Regency Y Hospital will pay more attention to planning, training, and providing fire disaster preparedness.