bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hydro-environmental response to the inter-basin water resource development in the middle and lower Han River, China
Authors: Zhang Junhong , Guo Liquan , Huang Tao , Zhang Dongdong , Deng Zhimin , Liu Linshuang , Yan Tao 
Published: December 2021

Abstract
As one of the most important influencing factors, inter-basin water resource development has been exerting an increasingly evident impact on the hydro-environment of river basins. The Han River was selected as a case study to reveal the hydro-environmental response to China's inter-basin water resource development. The hydrological changes and water-quality variations resulted from the middle route of the South-to-North Water Transfer Project (SNWTP) and the Three Gorges Reservoir (TGR) operation were examined based on a hydro-environmental model. The results indicated that the runoff reduction is obvious after the SNWTP operation, and the low-flow duration significantly increased by 4–5 months. Consequently, the flow decrease significantly contributed to the water quality deterioration in the middle and lower Han River, while the Yangtze-Han Water Diversion Project (YHWDP) can not alleviate the situation completely. Moreover, the nutrient assimilative capacity decreased after water diversion, which agrees with the hydrological changes along the middle and lower Han River. The quantitative analysis performed in this study distinguishes the spatiotemporal variation in water quality variables using the integrated model. It provides insights into water quality management under the influences of inter-basin water resource development.
The optimal allocation of water resources oriented to prioritizing ecological needs using multiple schemes in the Shaying River Basin (Henan Section), China
Authors: Li Hang , Qu Xiao-Ning , Tao Jie , Hu Chang-Hong , Zuo Qi-Ting 
Published: December 2021

Abstract
China is actively exploring water resources management considering ecological priorities. The Shaying River Basin (Henan Section) serves as an important grain production base in China. However, conflicts for water between humans and the environment are becoming increasingly prominent. The present study analyzed the optimal allocation of water while considering ecological priorities in the Shaying River Basin (Henan Section). The ecological water demand was calculated by the Tennant and the representative station methods; then, based on the predicted water supply and demand in 2030, an optimal allocation model was established, giving priority to meeting ecological objectives while including social and comprehensive economic benefit objectives. After solving the model, the optimal results of three established schemes were obtained. This revealed that scheme 1 and scheme 2 failed to satisfy the water demand of the study area in 2030 by only the current conditions and strengthening water conservation, respectively. Scheme 3 was the best scheme, which could balance the water supply and demand by adding new water supply based on strengthening water conservation and maximizing the benefits. Therefore, the actual water allocation in 2030 is forecast to be 7.514 billion (7.514 × 109) m3. This study could help basin water management departments deal with water use and supply.
Child protection from the civil law perspective – selected issues
Authors: Kałdon Barbara M. 
Published: December 2021

Care for the well-being of the youngest family members is one of the main goals of the legislator. A properly functioning family does not require an interference of the officials as long as it does not deviate from the generally accepted standards. However, if such a situation occurs, it is necessary to undertake legal mechanisms aimed at restoring the proper functioning of the family. Consequently, various branches of the law regulate instruments to help the family overcome the crisis.
The article presents selected areas of civil law child protection referring to such issues as prohibition of using corporal punishment against a minor and the consequences of its violation, other forms of abusing parental authority, as well as the regulation of certain relations between parents and children.
Exploiting legal fictions in circumventing legitimate rights in marital property
Authors: Abous Meryem , Aziz Nor Azmawati Abdul 
Published: December 2021

The Marriage is the norm of life and living in the family’s embrace under the shade of affection and tranquility is a goal that everyone who takes this step seeks, and the happiness and balance of the family can only be achieved by obtaining what can be achieved from the requirements of a decent life.But not everything that a person wishes to realize, some have intervened Factors and inconveniences make married life impossible to continue, and the most important of these factors, according to a scientific study, is money According to ourIslamic law, the offspring must be legitimate, and this will not happen except through legal marriage, and in the verse it is associated. Money with children because it has a strong influence and a close link to married life, which in turn is considered a partnership between two parties. The spouses may not be successful in completing this partnership, and the matter ends in divorce, and often the woman is forced to demand her legal and material rights. In this research, I will discuss, in particular, the tricks that some lawyers use to make things difficult, or to prevent the divorced woman from having her rights, especially material ones.
Standards, Processes, and Tools Used to Evaluate the Quality of Health Information Systems: Systematic Literature Review
Authors: Noël René , Taramasco Carla , Márquez Gastón 
Published: December 2021

Background
Evaluating health information system (HIS) quality is strategically advantageous for improving the quality of patient care. Nevertheless, few systematic studies have reported what methods, such as standards, processes, and tools, were proposed to evaluate HIS quality.

Objective
This study aimed to identify and discuss the existing literature that describes standards, processes, and tools used to evaluate HIS quality.

Methods
We conducted a systematic literature review using review guidelines focused on software and systems. We examined seven electronic databases—Scopus, ACM (Association for Computing Machinery), ScienceDirect, Google Scholar, IEEE Xplore, Web of Science, and PubMed—to search for and select primary studies.

Results
Out of 782 papers, we identified 17 (2.2%) primary studies. We found that most of the primary studies addressed quality evaluation from a management perspective. On the other hand, there was little explicit and pragmatic evidence on the processes and tools that allowed for the evaluation of HIS quality.

Conclusions
To promote quality evaluation of HISs, it is necessary to define mechanisms and methods that operationalize the standards in HISs. Additionally, it is necessary to create metrics that measure the quality of the most critical components and processes of HISs.
Patient Recruitment System for Clinical Trials: Mixed Methods Study About Requirements at Ten University Hospitals
Authors: Fitzer Kai , Haeuslschmid Renate , Blasini Romina , Altun Fatma Betül , Hampf Christopher , Freiesleben Sherry , Macho Philipp , Prokosch Hans-Ulrich , Gulden Christian 
Published: December 2021

Background
Clinical trials are the gold standard for advancing medical knowledge and improving patient outcomes. For their success, an appropriately sized cohort is required. However, patient recruitment remains one of the most challenging aspects of clinical trials. Information technology (IT) support systems—for instance, patient recruitment systems—may help overcome existing challenges and improve recruitment rates, when customized to the user needs and environment.

Objective
The goal of our study is to describe the status quo of patient recruitment processes and to identify user requirements for the development of a patient recruitment system.

Methods
We conducted a web-based survey with 56 participants as well as semistructured interviews with 33 participants from 10 German university hospitals.

Results
We here report the recruitment procedures and challenges of 10 university hospitals. The recruitment process was influenced by diverse factors such as the ward, use of software, and the study inclusion criteria. Overall, clinical staff seemed more involved in patient identification, while the research staff focused on screening tasks. Ad hoc and planned screenings were common. Identifying eligible patients was still associated with significant manual efforts. The recruitment staff used Microsoft Office suite because tailored software were not available. To implement such software, data from disparate sources will need to be made available. We discussed concrete technical challenges concerning patient recruitment systems, including requirements for features, data, infrastructure, and workflow integration, and we contributed to the support of developing a successful system.

Conclusions
Identifying eligible patients is still associated with significant manual efforts. To fully make use of the high potential of IT in patient recruitment, many technical and process challenges have to be solved first. We contribute and discuss concrete technical challenges for patient recruitment systems, including requirements for features, data, infrastructure, and workflow integration.
Automating Large-scale Health Care Service Feedback Analysis: Sentiment Analysis and Topic Modeling Study
Authors: Alexander George , Bahja Mohammed , Butt Gibran Farook 
Published: December 2021

Background
Obtaining patient feedback is an essential mechanism for health care service providers to assess their quality and effectiveness. Unlike assessments of clinical outcomes, feedback from patients offers insights into their lived experiences. The Department of Health and Social Care in England via National Health Service Digital operates a patient feedback web service through which patients can leave feedback of their experiences in structured and free-text report forms. Free-text feedback, compared with structured questionnaires, may be less biased by the feedback collector and, thus, more representative; however, it is harder to analyze in large quantities and challenging to derive meaningful, quantitative outcomes.

Objective
The aim of this study is to build a novel data analysis and interactive visualization pipeline accessible through an interactive web application to facilitate the interrogation of and provide unique insights into National Health Service patient feedback.

Methods
This study details the development of a text analysis tool that uses contemporary natural language processing and machine learning models to analyze free-text clinical service reviews to develop a robust classification model and interactive visualization web application. The methodology is based on the design science research paradigm and was conducted in three iterations: a sentiment analysis of the patient feedback corpus in the first iteration, topic modeling (unigram and bigram)–based analysis for topic identification in the second iteration, and nested topic modeling in the third iteration that combines sentiment analysis and topic modeling methods. An interactive data visualization web application for use by the general public was then created, presenting the data on a geographic representation of the country, making it easily accessible.

Results
Of the 11,103 possible clinical services that could be reviewed across England, 2030 (18.28%) different services received a combined total of 51,845 reviews between October 1, 2017, and September 30, 2019. Dominant topics were identified for the entire corpus followed by negative- and positive-sentiment topics in turn. Reviews containing high- and low-sentiment topics occurred more frequently than reviews containing less polarized topics. Time-series analysis identified trends in topic and sentiment occurrence frequency across the study period.

Conclusions
Using contemporary natural language processing techniques, unstructured text data were effectively characterized for further analysis and visualization. An efficient pipeline was successfully combined with a web application, making automated analysis and dissemination of large volumes of information accessible. This study represents a significant step in efforts to generate and visualize useful, actionable, and unique information from free-text patient reviews.
Identification of Prediabetes Discussions in Unstructured Clinical Documentation: Validation of a Natural Language Processing Algorithm
Authors: Schwartz Jessica L , Tseng Eva , Maruthur Nisa M , Rouhizadeh Masoud 
Published: December 2021

Background
Prediabetes affects 1 in 3 US adults. Most are not receiving evidence-based interventions, so understanding how providers discuss prediabetes with patients will inform how to improve their care.

Objective
This study aimed to develop a natural language processing (NLP) algorithm using machine learning techniques to identify discussions of prediabetes in narrative documentation.

Methods
We developed and applied a keyword search strategy to identify discussions of prediabetes in clinical documentation for patients with prediabetes. We manually reviewed matching notes to determine which represented actual prediabetes discussions. We applied 7 machine learning models against our manual annotation.

Results
Machine learning classifiers were able to achieve classification results that were close to human performance with up to 98% precision and recall to identify prediabetes discussions in clinical documentation.

Conclusions
We demonstrated that prediabetes discussions can be accurately identified using an NLP algorithm. This approach can be used to understand and identify prediabetes management practices in primary care, thereby informing interventions to improve guideline-concordant care.
Digital Health Interventions to Enhance Prevention in Primary Care: Scoping Review
Authors: Willis Van C , Thomas Craig Kelly Jean , Jabbarpour Yalda , Scheufele Elisabeth L , Arriaga Yull E , Ajinkya Monica , Rhee Kyu B , Bazemore Andrew 
Published: December 2021

BackgroundDisease prevention is a central aspect of primary care practice and is comprised of primary (eg, vaccinations), secondary (eg, screenings), tertiary (eg, chronic condition monitoring), and quaternary (eg, prevention of overmedicalization) levels. Despite rapid digital transformation of primary care practices, digital health interventions (DHIs) in preventive care have yet to be systematically evaluated.ObjectiveThis review aimed to identify and describe the scope and use of current DHIs for preventive care in primary care settings.MethodsA scoping review to identify literature published from 2014 to 2020 was conducted across multiple databases using keywords and Medical Subject Headings terms covering primary care professionals, prevention and care management, and digital health. A subgroup analysis identified relevant studies conducted in US primary care settings, excluding DHIs that use the electronic health record (EHR) as a retrospective data capture tool. Technology descriptions, outcomes (eg, health care performance and implementation science), and study quality as per Oxford levels of evidence were abstracted.ResultsThe search yielded 5274 citations, of which 1060 full-text articles were identified. Following a subgroup analysis, 241 articles met the inclusion criteria. Studies primarily examined DHIs among health information technologies, including EHRs (166/241, 68.9%), clinical decision support (88/241, 36.5%), telehealth (88/241, 36.5%), and multiple technologies (154/241, 63.9%). DHIs were predominantly used for tertiary prevention (131/241, 54.4%). Of the core primary care functions, comprehensiveness was addressed most frequently (213/241, 88.4%). DHI users were providers (205/241, 85.1%), patients (111/241, 46.1%), or multiple types (89/241, 36.9%). Reported outcomes were primarily clinical (179/241, 70.1%), and statistically significant improvements were common (192/241, 79.7%). Results were summarized across the following 5 topics for the most novel/distinct DHIs: population-centered, patient-centered, care access expansion, panel-centered (dashboarding), and application-driven DHIs. The quality of the included studies was moderate to low.ConclusionsPreventive DHIs in primary care settings demonstrated meaningful improvements in both clinical and nonclinical outcomes, and across user types; however, adoption and implementation in the US were limited primarily to EHR platforms, and users were mainly clinicians receiving alerts regarding care management for their patients. Evaluations of negative results, effects on health disparities, and many other gaps remain to be explored.
Сoating of a multicomponent system Al–Cr–Ni–Co–Fe on a steel substrate obtained by laser
Authors: Bystrov R. Yu. , Gerashchenkov D. A. 
Published: December 2021

In recent years, the unique physical and mechanical properties of high-entropy alloys (HEAs) have been the subject of increased attention of researchers. The study of the thermodynamic characteristics of such materials may be of interest for formulating the principles of the formation of structures with the required functional characteristics. Since the processes of structure and phase formation, as well as the diffusion mobility of atoms, the mechanism for the formation of mechanical properties and thermal stability differ significantly from similar processes in traditional alloys, HEAs are singled out into a special group of materials.The article presents a brief overview of the results of obtaining a high-entropy alloy by the combined method. At the first stage, a precursor layer was deposited by сold gas dynamic spraying (CGDS), and at the second stage, it was subjected to high-energy action using a laser. An alloy of the Al-Cr-Ni-Co-Fe type has been studied. By varying the ratio of the components, it was possible to obtain an almost equimolar composition for this system. A prediction of properties and structure is made based on the phase composition of the system.
PENGARUH KECERDASAN EMOSIONAL DAN MOTIVASI KARYAWAN TERHADAP KINERJA KARYAWAN BANK MANDIRI CABANG JAMBI DR SUTOMO
Authors: Putri Merina Nindi 
Published: December 2021

Penelitian ini ini bertujuan Pengujian untuk menganalisis pengaruh kecerdasan emosional terhadap kinerja karyawan Bank Mandiri Cabang Jambi Dr Sutomo, untuk menganalisis pengaruh motivasi karyawan terhadap kinerja karyawan Bank Mandiri Cabang Jambi Dr Sutomo dan untuk menganalisis pengaruh kecerdasan emosional dan motivasi karyawan secara bersama-sama terhadap kinerja karyawan Bank Mandiri Cabang Jambi Dr Sutomo. Data yang digunakan dalam penelitian ini adalah data primer yang diperoleh dari survey dengan menggunakan kuisioner. Jumlah Sampel yang digunakan dalam penelitian ini adalah sebanyak 56 karyawan Bank Mandiri Cabang Jambi Dr Sutomo. Metode analisis yang digunakan adalah analisis regresi linear berganda. Hasil penelitian menunjukkan bahwa : 1) Total skor variabel kecerdasan emosional karyawan Bank Mandiri Cabang Jambi Dr Sutomo adalah sebesar 1348 yang pada tingkatan yang cukup baik, sementara tanggapan responden motivasi kerja karyawan Bank Mandiri Cabang Jambi Dr Sutomo masih berada pada tingkatan yang cukup baik, dengan nilai total skor sebesar 1564, hal yang sama juga terjadi pada variabel Kinerja dengan nilai total skor 1561 yang pada tingkatan yang cukup baik. 2) Secara bersama-sama kecerdasan emosional dan motivasi kerja mampu mempengaruhi kinerja karyawan sebesar 0,409 atau sebesar 40,9 persen, sementara sisanya sebesar 59,1 persen dipengaruhi variabel lainnya yang tidak diteliti dalam penelitian ini. Dengan koefisien korelasi sebesar 0,639 menunjukkan bahwa hubungan antara kecerdasan emosional dan motivasi kerja secara langsung sangat kuat.
KEPEMIMPINAN TRANSFORMASIONAL DALAM PENINGKATAN KINERJA ORGANISASI MELALUI PENERAPAN MANAJEMEN BAKAT (TALENT MANAGEMENT) DI POLSEK MARO SEBO ILIR BATANGHARI
Authors: Sinaga Jhon Riahman , Lubis Tona Aurora 
Published: December 2021

Adapun tujuan penelitian ini adalah menggambarkan kepemimpinan transformasional, manajemen bakat dan kinerja di Polsek Maro Sebo Ilir, menganalisis pengaruh Gaya kepemimpinan Transformasional terhadap manajemen bakat (talent management) di Polsek Maro Sebo Ilir, menganalisis bagaimana Pengaruh manajemen bakat (talent management) terhadap kinerja di Polsek Maro Sebo Ilir, menganalisis pengaruh Kepemimpinan Transformasional terhadap kinerja Polsek Maro Sebo Ilir, menganalisis pengaruh Kepemimpinan Transformasional terhadap kinerja Polsek Maro Sebo Ilir melalui manajemen bakat (talent Management). Dalam penelitian ini metode Penelitian yang digunakan adalah deskriptif kuantitatif,sumber data yang digunakan adalah mencakup data primer dan data sekunder .tehnik pengumpulan data kuisioner dan wawancara, Populasi dalam penelitian ini adalah seluruh anggota Polri yang ada di Polsek, jumlah Populasi dalam penelitian ini adalah 30 responden, maka jumlah sampel penelitian adalah semua jumlah Populasi yaitu sebanyak 30 responden (sampel jenuh), karena metode jenuh merupakan teknik penentuan sampel bila semua anggota populasi digunakan menjadi sampel. Sugiono (2017). Hasil penelitian ini menunjukkan :1) secara umum tanggapan responden terhadap gambaran kepemimpinan transformasional, management bakat dan kinerja di polsek menunujukkan hal yang positif dan signifikan. 2)Hasil pengujian secara parsial antara kepemimpinan transformasional terhadap manajemen, manajemen bakat terhadap kinerja, kepemimpinan transformasional terhadap kinerja, serta kepemimoinan transformasional terhadap kinerja melalui pengolahan manajemen bakat sebagai rata rata semua hasil unji secara simultan berpengaruh Positif dan signifikan
DETERMINAN LOYALITAS PENGGUNA APLIKASI RUANGGURU DI KOTA JAMBI DENGAN KEPUASAN KONSUMEN SEBAGAI VARIABEL MEDIASI
Authors: Dewi Suci Novtari Kumala , Johannes Johannes 
Published: December 2021

Penelitian ini bertujuan untuk mengungkapkan pengaruh loyalitas pengguna aplikasi bimbingan belajar online Ruangguru. Enam variabel yang dianalisis yaitu kualitas produk, harga, personal selling, e-Wom, kepuasan konsumen, dan loyalitas konsumen. Untuk itu dilakukan penelitian dengan sampel sebesar 151 responden yang diperoleh melalui perhitungan Slovin, yang diperoleh dengan menggunakan teknik tatap muka dan online. Berdasarkan pola hubungan antara determinan loyalitas terungkap bahwa harga dan personal selling adalah determinan kepuasan dan tidak terhadap loyalitas konsumen. Sementara e-wom menjadi deterimanan loyalitas konsumen, dan tidak terhadap kepuasan konsumen. Oleh karena itu , disarankan agar ruang guru meningkatkan peran personal selling dalam memanfaatkan ruang guru untuk tujuan pembelajaran secara online. Ini akan berdampak terhadap loyalitas pengguna melalui kegiatan e-Wom yang menjadi alat pemasaran tanggung terelebih di era teknologi di segala bidang.