bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessment of the Effectiveness of Identity-Based Public Health Announcements in Increasing the Likelihood of Complying With COVID-19 Guidelines: Randomized Controlled Cross-sectional Web-Based Study
Authors: Dennis Alexander S , Moravec Patricia L , Kim Antino , Dennis Alan R
Published: April 2021

Background

Public health campaigns aimed at curbing the spread of COVID-19 are important in reducing disease transmission, but traditional information-based campaigns have received unexpectedly extreme backlash.

Objective

This study aimed to investigate whether customizing of public service announcements (PSAs) providing health guidelines to match individuals’ identities increases their compliance.

Methods

We conducted a within- and between-subjects, randomized controlled cross-sectional, web-based study in July 2020. Participants viewed two PSAs: one advocating wearing a mask in public settings and one advocating staying at home. The control PSA only provided information, and the treatment PSAs were designed to appeal to the identities held by individuals; that is, either a Christian identity or an economically motivated identity. Participants were asked about their identity and then provided a control PSA and treatment PSA matching their identity, in random order. The PSAs were of approximately 100 words.

Results

We recruited 300 social media users from Amazon Mechanical Turk in accordance with usual protocols to ensure data quality. In total, 8 failed the data quality checks, and the remaining 292 were included in the analysis. In the identity-based PSA, the source of the PSA was changed, and a phrase of approximately 12 words relevant to the individual’s identity was inserted. A PSA tailored for Christians, when matched with a Christian identity, increased the likelihood of compliance by 12 percentage points. A PSA that focused on economic values, when shown to individuals who identified as economically motivated, increased the likelihood of compliance by 6 points.

Conclusions

Using social media to deliver COVID-19 public health announcements customized to individuals’ identities is a promising measure to increase compliance with public health guidelines.

Trial Registration

ISRCTN Registry 22331899; https://www.isrctn.com/ISRCTN22331899.
Development and Validation of Clinical Prediction Models for Surgical Success in Patients With Endometriosis: Protocol for a Mixed Methods Study (Preprint)
Authors: Marlin Nadine , Rivas Carol , Allotey John , Dodds Julie , Horne Andrew , Ball Elizabeth
Published: April 2021

BACKGROUND

Endometriosis is a chronic inflammatory condition affecting 6%-10% of women of reproductive age and is defined by the presence of endometrial-like tissue outside the uterus (lesions), commonly affecting the pelvis and ovaries. It is associated with debilitating pelvic pain, infertility, and fatigue and often has devastating effects on the quality of life (QoL). Although it is as common as back pain, it is poorly understood, and treatment and diagnosis are often delayed, leading to unnecessary suffering. Endometriosis has no cure. Surgery is one of several management options. Quantifying the probability of successful surgery is important for guiding clinical decisions and treatment strategies. Factors predicting success through pain reduction after endometriosis surgery have not yet been adequately identified.

OBJECTIVE

This study aims to determine which women with confirmed endometriosis benefit from surgical improvement in pain and QoL and whether these women could be identified from clinical symptoms measured before laparoscopy.

METHODS

First, we will carry out a systematic search and review and, if appropriate, meta-analysis of observational cohort and case-control studies reporting one or more risk factors for endometriosis and postsurgical treatment success. We will search PubMed, Embase, and Cochrane databases from inception without language restrictions and supplement the reference lists by manual searches. Second, we will develop separate clinical prediction models for women with confirmed and suspected diagnoses of endometriosis. A total of three suitable databases have been identified for development and external validation (the MEDAL [ISRCTN13028601] and LUNA [ISRCTN41196151] studies, and the BSGE database), and access has been guaranteed. The models will be developed using a linear regression approach that links candidate factors to outcomes. Third, we will hold 2 stakeholder co-design workshops involving eight clinicians and eight women with endometriosis separately and then bring all 16 participants together. Participants will discuss the implementation, delivery, usefulness, and sustainability of the prediction models. Clinicians will also focus on the ease of use and access to clinical prediction tools.

RESULTS

This project was funded in March 2018 and approved by the Institutional Research Ethics Board in December 2019. At the time of writing, this study was in the data analysis phase, and the results are expected to be available in April 2021.

CONCLUSIONS

This study is the first to aim to predict who will benefit most from laparoscopic surgery through the reduction of pain or increased QoL. The models will provide clinicians with robustly developed and externally validated support tools, improving decision making in the diagnosis and treatment of women.

INTERNATIONAL REGISTERED REPORT

DERR1-10.2196/20986
Recommendations for Health Equity and Virtual Care Arising From the COVID-19 Pandemic: Narrative Review (Preprint)
Authors: Shaw James , Brewer LaPrincess C , Veinot Tiffany
Published: April 2021

BACKGROUND

The COVID-19 health crisis has disproportionately impacted populations who have been historically marginalized in health care and public health, including low-income and racial and ethnic minority groups. Members of marginalized communities experience undue barriers to accessing health care through virtual care technologies, which have become the primary mode of ambulatory health care delivery during the COVID-19 pandemic. Insights generated during the COVID-19 pandemic can inform strategies to promote health equity in virtual care now and in the future.

OBJECTIVE

The aim of this study is to generate insights arising from literature that was published in direct response to the widespread use of virtual care during the COVID-19 pandemic, and had a primary focus on providing recommendations for promoting health equity in the delivery of virtual care.

METHODS

We conducted a narrative review of literature on health equity and virtual care during the COVID-19 pandemic published in 2020, describing strategies that have been proposed in the literature at three levels: (1) policy and government, (2) organizations and health systems, and (3) communities and patients.

RESULTS

We highlight three strategies for promoting health equity through virtual care that have been underaddressed in this literature: (1) simplifying complex interfaces and workflows, (2) using supportive intermediaries, and (3) creating mechanisms through which marginalized community members can provide immediate input into the planning and delivery of virtual care.

CONCLUSIONS

We conclude by outlining three areas of work that are required to ensure that virtual care is employed in ways that are equity enhancing in a post–COVID-19 reality.
Global Burden of Skin Disease Representation in the Literature: Bibliometric Analysis (Preprint)
Authors: Pulsipher Kayd J , Szeto Mindy D , Rundle Chandler W , Presley Colby L , Laughter Melissa R , Dellavalle Robert P
Published: April 2021

BACKGROUND

The global burden of skin disease may be reduced through research efforts focused on skin diseases with the highest reported disability-adjusted life years.

OBJECTIVE

This study evaluates the representation of dermatologic conditions comprising the highest disability-adjusted life years in dermatology literature to identify areas that could benefit from greater research focus.

METHODS

The top 10 skin disorders according to their respective disability-adjusted life years as per the 2013 Global Burden of Disease were identified using previous studies. The top 5 dermatology journals ranked by the 2019 h-index were also identified. A PubMed search of each journal was performed using individual skin disease terms. From 2015 to 2020, all indexed publications pertaining to each disease were recorded and compared to the total number of publications for each journal surveyed.

RESULTS

A total of 19,727 papers were published in the 5 journals over the span of 2015-2020. Although melanoma ranked as the eighth highest in disability-adjusted life years, it had the highest representation in the literature (1995/19,727, 10.11%). Melanoma was followed in representation by psoriasis (1936/19,727, 9.81%) and dermatitis (1927/19,727, 9.77%). These 3 conditions comprised a total of 29.69% (5858/19,727) of the total publications, while the remaining 7 skin conditions were represented by a combined 6.79% (1341/19,727) of the total publications.

CONCLUSIONS

This research identifies gaps in the literature related to the top skin diseases contributing to the global burden of disease. Our study provides insight into future opportunities of focused research on less-studied skin diseases to potentially aid in reducing the global burden of skin disease.
Automated Clinical Practice Guideline Recommendations for Hereditary Cancer Risk Using Chatbots and Ontologies: System Description (Preprint)
Authors: Ritchie Jordon B , Frey Lewis J , Lamy Jean-Baptiste , Bellcross Cecelia , Morrison Heath , Schiffman Joshua D , Welch Brandon M
Published: April 2021

BACKGROUND

Identifying patients at risk of hereditary cancer based on their family health history is a highly nuanced task. Frequently, patients at risk are not referred for genetic counseling as providers lack the time and training to collect and assess their family health history. Consequently, patients at risk do not receive genetic counseling and testing that they need to determine the preventive steps they should take to mitigate their risk.

OBJECTIVE

This study aims to automate clinical practice guideline recommendations for hereditary cancer risk based on patient family health history.

METHODS

We combined chatbots, web application programming interfaces, clinical practice guidelines, and ontologies into a web service–oriented system that can automate family health history collection and assessment. We used Owlready2 and Protégé to develop a lightweight, patient-centric clinical practice guideline domain ontology using hereditary cancer criteria from the American College of Medical Genetics and Genomics and the National Cancer Comprehensive Network.

RESULTS

The domain ontology has 758 classes, 20 object properties, 23 datatype properties, and 42 individuals and encompasses 44 cancers, 144 genes, and 113 clinical practice guideline criteria. So far, it has been used to assess >5000 family health history cases. We created 192 test cases to ensure concordance with clinical practice guidelines. The average test case completes in 4.5 (SD 1.9) seconds, the longest in 19.6 seconds, and the shortest in 2.9 seconds.

CONCLUSIONS

Web service–enabled, chatbot-oriented family health history collection and ontology-driven clinical practice guideline criteria risk assessment is a simple and effective method for automating hereditary cancer risk screening.
Direct Access for Patients to Diagnostic Testing and Results Using eHealth: Systematic Review on eHealth and Diagnostics (Preprint)
Authors: Versluis Anke , Schnoor Kyma , Chavannes Niels H , Talboom-Kamp Esther PWA
Published: April 2021

BACKGROUND

The number of people with chronic diseases and the subsequent pressure on health care is increasing. eHealth technology for diagnostic testing can contribute to more efficient health care and lower workload.

OBJECTIVE

This systematic review examines the available methods for direct web-based access for patients to diagnostic testing and results in the absence of a health care professional in primary care.

METHODS

We searched the PubMed, Embase, Web of Sciences, Cochrane Library, Emcare, and Academic Search Premier databases in August 2019 and updated in July 2021. The included studies focused on direct patient access to web-based triage leading to diagnostic testing, self-sampling or testing, or web-based communication of test results. A total of 45 studies were included. The quality was assessed using the Mixed Methods Appraisal Tool.

RESULTS

Most studies had a quantitative descriptive design and discussed a combination of services. Diagnostic test services mainly focused on sexually transmitted infections. Overall, the use was high for web-based triage (3046/5000, >50%, who used a triage booked a test), for self-sampling or self-testing kits (83%), and the result service (85%). The acceptability of the test services was high, with 81% preferring home-based testing over clinic-based testing. There was a high rate of follow-up testing or treatment after a positive test (93%).

CONCLUSIONS

The results show that direct access to testing and result services had high use rates, was positively evaluated, and led to high rates of follow-up treatment. More research on cost-effectiveness is needed to determine the potential for other diseases. Direct access to diagnostic testing can lower the threshold for testing in users, potentially increase efficiency, and lower the workload in primary care.

CLINICALTRIAL
Gray Literature in Evaluating Effectiveness in Digital Health and Health and Welfare Technology: A Source Worth Considering (Preprint)
Authors: Landerdahl Stridsberg Sara , Richardson Matt X , Redekop Ken , Ehn Maria , Wamala Andersson Sarah
Published: April 2021

BACKGROUND

The need to assess the effectiveness and value of interventions involving digital health and health and welfare technologies is becoming increasingly important due to the rapidly growing development of these technologies and their areas of application. Systematic reviews of scientific literature are a mainstay of such assessment, but publications outside the realm of traditional scientific bibliographic databases—known as gray literature—are often not included. This is a disadvantage, particularly apparent in the health and welfare technology (HWT) domain.

OBJECTIVE

The aim of this article is to investigate the significance of gray literature in digital health and HWT when reviewing literature. As an example, the impact of including gray literature to the result of two systematic reviews in HWT is examined.

METHODS

In this paper, we identify, discuss, and suggest methods for including gray literature sources when evaluating effectiveness and appropriateness for different review types related to HWT. The analysis also includes established sources, search strategies, documentation, and reporting of searches, as well as bias and credibility assessment. The differences in comparison to scientific bibliographic databases are elucidated. We describe the results, challenges, and benefits of including gray literature in 2 examples of systematic reviews of HWT.

RESULTS

In the 2 systematic reviews described in this paper, most included studies came from context-specific gray literature sources. Gray literature contributed to the overall result of the reviews and corresponded well with the reviews’ aims. The assessed risk of bias of the included studies derived from gray literature was similar to the included studies from other types of sources. However, because of less standardized publication formats, assessing and extracting data from gray literature studies were more time-consuming and compiling statistical results was not possible. The search process for gray literature required more time and the reproducibility of gray literature searches were less certain due to more unstable publication platforms.

CONCLUSIONS

Gray literature is particularly relevant for digital health and HWT but searches need to be conducted systematically and reported transparently. This way gray literature can broaden the range of studies, highlight context specificity, and decrease the publication bias of reviews of effectiveness of HWT. Thus, researchers conducting systematic reviews related to HWT should consider including gray literature based on a systematic approach.
Correction: A Novel Remote Follow-Up Tool Based on an Instant Messaging/Social Media App for the Management of Patients With Low Anterior Resection Syndrome: Pilot Prospective Self-Control Study (Preprint)
Authors: Liu Fan , Guo Peng , Su Xiangqian , Cui Ming , Jiang Jianlong , Wang Suo , Yu Zhouman , Zhou Runhe , Ye Yingjiang
Published: April 2021

UNSTRUCTURED

In “A Novel Remote Follow-Up Tool Based on an Instant Messaging/Social Media App for the Management of Patients With Low Anterior Resection Syndrome: Pilot Prospective Self-Control Study” (JMIR Mhealth Uhealth 2021;9(3):e22647) the authors noted one error. Under “Acknowledgments”, first paragraph, the phrase “Grant No. 2145000042” should been replaced by “Grant No. 2017YF0908203”.
Use of U-Net Convolutional Neural Networks for Automated Segmentation of Fecal Material to Objective Evaluation of Bowel Preparation Quality in Colonoscopy (Preprint)
Authors: Wang Yen-Po , Jheng Ying-Chun , Sung Kuang-Yi , Lin Hung-En , Hsin I-Fang , Chen Ping-Hsien , Chu Yuan-Chia , Lu David , Wang Yuan-Jen , Hou Ming-Chih , Lee Fa-Yauh , Lu Ching-Liang
Published: April 2021

BACKGROUND

Adequate bowel cleansing is important for a complete examination of the colon mucosa during colonoscopy. Current bowel cleansing evaluation scales are subjective with a wide variation in consistency among physicians and low reported rate. Artificial intelligence (AI) has been increasingly used in endoscopy.

OBJECTIVE

We aim to use machine learning to develop a fully automatic segmentation method to mark the fecal residue-coated mucosa for objective evaluation of the adequacy of colon preparation.

METHODS

Colonoscopy videos were retrieved from a video data cohort and transferred to qualified images, which were randomly divided into training, validation and verification datasets. The fecal residue was manually segmented by skilled technicians. Deep learning model based on the U-Net convolutional network architecture was developed to perform automatic segmentation. TheA total of 10,118 qualified images from 119 videos were captured, and labelled manually. The model averaged 0.3634 seconds to segmentate one image automatically. The models produced a strong high-overlap area with manual segmentation to 94.7% ± 0.67% with an intersection over union (IOU) of 0.607 ± 0.17. The area predicted by our AI model correlated well with the area measured manually (r=0.915, p<0.001). The AI system can be applied real-time to qualitatively and quantitatively display the mucosa covered by fecal residue. performance of the automatic segmentation was evaluated on the overlap area with the manual segmentation.

RESULTS

A total of 10,118 qualified images from 119 videos were captured, and labelled manually. The model averaged 0.3634 seconds to segmentate one image automatically. The models produced a strong high-overlap area with manual segmentation to 94.7% ± 0.67% with an intersection over union (IOU) of 0.607 ± 0.17. The area predicted by our AI model correlated well with the area measured manually (r=0.915, p<0.001). The AI system can be applied real-time to qualitatively and quantitatively display the mucosa covered by fecal residue.

CONCLUSIONS

We used machine learning to establish a fully automatic segmentation method to rapidly and accurately mark the fecal residue-coated mucosa for objective evaluation of colon preparation.
Chronic Allograft Injury
Authors: Langewisch Eric , Mannon Roslyn B.
Published: April 2021

With the incremental improvements in long-term kidney transplant survival, there is renewed focus on what causes failure of the transplanted allograft. Over the past decade, our understanding of the injuries that lead to loss of graft function over time has evolved. Chronic allograft injury includes both immune-mediated and nonimmune-mediated injuries, which may involve the organ donor, the recipient, or both. The targets of injury include the kidney tubular epithelium, the endothelium, and the glomerulus. As a response to injury, there are the expected tissue remodeling and repair processes. However, if inflammation persists, which is not uncommon in the transplant setting, the resulting maladaptive response is matrix deposition and/or fibrosis. This ultimately leads to declining graft function and, finally, failure. With our advancing knowledge of the multiple etiologies and mechanisms, enhanced by more recent cohort studies in humans, there is an opportunity to identify those at greater risk to initiate new strategies to ameliorate the process. Although the most recent studies focus on immune-mediated injuries, there is a critical need to identify both markers of injury and mechanisms of injury. In this review, we highlight the findings of recent studies, highlight the potential therapeutic targets, and identify the continued unmet need for understanding the mechanisms of late graft failure.
COMPREENSÃO DO PROCESSO DE APRENDIZAGEM: as contribuições da Neuroeducação
Authors: Costa Claudio , Nóbile Márcia , Crespi Lívia Regina Saiani
Published: April 2021

O artigo objetiva investigar como se dá a compreensão do processo de aprendizagem segundo as contribuições da neuroeducação, haja vista a necessidade de estratégias didáticas que respeitem as especificidades de cada aluno e que promovam condições para que estes avancem em seus processos de aprendizagem.  Assim, esse estudo se desenvolveu a partir de uma revisão de literatura científica em artigos publicados entre janeiro de 2009 a janeiro de 2019, na base de dados SciELO. Além desses estudos, também livros sobre o tema foram utilizados para a estruturação do artigo. O período do estudo transcorreu de setembro de 2009 a dezembro de 2019. Com essa revisão de literatura, percebe-se uma convergência entre os estudos dos diversos autores que apontam que os estudos de neuroeducação podem auxiliar no desenvolvimento de estratégias que auxiliam o aluno em sua aprendizagem e com embasamento científico, sobretudo respeitando a forma como o cérebro funciona. O estudo também aponta que os conhecimentos agregados às neurociências podem contribuir substantivamente para a educação e, ainda, melhorar a qualidade de vida do indivíduo e da sociedade.
A POLÍTICA DE COTAS TRABALHISTAS PARA PESSOAS COM DEFICIÊNCIA
Authors: Almeida Martins Thais , Lopes Flores Maria Marta
Published: April 2021

O presente artigo é resultado de uma pesquisa que analisa o Projeto de Lei nº 6.159/2019 o qual altera a forma de cumprimento da Lei nº 8.213 de 1991 e discute os possíveis impactos e desvantagens que acarretaram na vida das pessoas com deficiências que trabalham ou pretendem ser inseridas no mercado de trabalho. As oportunidades de acesso ao mercado de trabalho para pessoas com deficiência, mesmo com a atual lei que resguarda de 2% a 5% do quadro de funcionários para empresas com mais de 100 funcionários, são poucas e vão sendo implementadas após o amedrontamento das fiscalizações. Com o projeto de lei que alterou o cumprimento dessa cota, foram analisadas e discutidas as mudanças trazidas para a vida das pessoas com deficiência. Objetiva-se de modo geral, analisar as leis das cotas trabalhistas às pessoas com deficiência nos últimos anos e, de forma mais específica, reconhecer o que dizem as leis brasileiras sobre as cotas trabalhistas destinadas às pessoas com deficiência; verificar quais medidas os últimos governos têm adotado quanto a lei de cotas trabalhistas para essas pessoas. A metodologia utilizada foi de abordagem qualitativa, especificamente, na pesquisa documental, tendo ênfase em documentos oficiais e artigos científicos coletados na SciELO. Por fim, os resultados demostraram que com uma contratação estratégica e baseada na qualificação e contribuições, a inclusão laboral de pessoas com deficiência poderá gerar experiências positivas e engrandecedora.
Políticas públicas para una economía creativa en Jalisco y el área metropolitana de Guadalajara
Authors: Lozano Uvario Katia Magdalena
Published: April 2021

Objetivo: analizar el surgimiento y los tipos de políticas públicas que impulsan el desarrollo de las industrias culturales y creativas en Jalisco, México, con incidencia en el área metropolitana de Guadalajara. Metodología: es descriptiva y propone una tipología para el análisis de las políticas públicas con orientación a la economía creativa y sus impactos. Resultados: se hallaron 15 programas gubernamentales en los que las políticas sistémicas sobresalen en el fomento económico. Entre ellas, se encuentran el proyecto de Ciudad Creativa Digital y las políticas de oferta mediante financiamiento directo. La concentración y la especialización en las actividades creativas y culturales de Guadalajara y Zapopan han propiciado que se les reconozca como territorios creativos, con lo que se ha alentado la creación de políticas públicas de oferta y demanda, y de programas de formación de capital humano. Limitaciones: la información es insuficiente para valorar el impacto de las políticas públicas en los municipios. Valor: la investigación describe la forma en que las políticas públicas locales fomentan el desarrollo de la economía creativa en el espacio local. Conclusiones: el planteamiento de políticas públicas orientadas a la economía creativa tiene un trasfondo estructural y coyuntural, e impone retos para la disposición y la continuidad de recursos presupuestales, el desarrollo de capacidades empresariales e innovadoras y la consolidación de comunidades creativas.
EFFECT OF CO2 REACH ENVIRONMENT ON THE PETROPHYSICAL PROPERTIES OF ARTIFICIALLY CONSOLIDATED CORE SAMPLES
Authors: Varga Gyula , Bánki Dániel , Fancsik Tamás
Published: April 2021

In order to develop, maintain and deplete reservoirs economically around the globe, various measurements are needed with a high demand on natural core samples. The next stage in the life of every reservoir is a secondary or tertiary method to enhance productivity. However, to tailor the available methods and technologies to the reservoir, several screening processes, feasibility studies and pilot experiments are needed. As an aid to these, like a sensitivity analysis, continuous measurements are set up to study fluid flow, chemical reactions, additional recovery and much more, but for all of these, core samples are needed. The lack and high value of natural core samples yield that the demand cannot be satisfied from this source alone. The aim of the study was to create an artificially consolidated stone core sample, a model material, which can be suitable for being the subject of these experiments, with additional benefits in mass production and reservoir parameter-based quality control. In this article the authors wish to present partial results of a big study, this time with comparing the porosity, permeability, connate water and capillary pressure parameters of the core samples used with different after-cure techniques. The process of compaction was the same, but the overburden pressures and the effect of CO2 rich curing were examined. For this, part of the samples was prone to high CO2 environment for different timespans during the after treatment of the samples. The petrophysical parameters were then measured on all of the groups, including a control group and the CO2 affected cores. The focus was on porosity, permeability, connate water saturation/wettability and capillary pressure measurements and the common features and differences in the yielded pore space’s structure are summarized in this article.
THE ROLE OF SUPPLY CHAIN DYNAMIC CAPABILITIES AND SUSTAINABLE SUPPLY CHAIN MANAGEMENT PRACTICES ON SUSTAINABLE DEVELOPMENT OF EXPORT ENTERPRISES
Authors: Nguyen Hoi , To Tha , Trinh Viet , Dang Duong
Published: April 2021

Research on supply chain sustainability is important for exporters. Sustainable supply chain management (SSCM) as well as good use of supply chain dynamics will help enterprise adapt to changes in the business environment. This study analyzes the impact of SSCM, supply chain dynamic capabilities on the sustainable development of exporting enterprises in Vietnam. Analyzing with 185 samples, SEM structure model analysis techniques have shown that supply chain dynamic capabilities, SSCM all have positive effects on the sustainable development of businesses (sustainable development is measured by distribution: measuring economic efficiency, social efficiency, and environmental performance). From the results of this study, the authors also made a number of recommendations to help export enterprises to develop sustainably based on the factors of SSCM and supply chain dynamic capabilities.
WHY THE QUEUING IN THE BANKING ENVIRONMENT IN THE ERA OF ELECTRONIC BANKING
Authors: Oladejo Morufu , Yinus Saliu , Abeeb Azeez , Shittu S. , Tajudeen Sanni
Published: April 2021

Managing queuing within the banking business in Nigeria has constituted major challenges whose effects have not been thoroughly examined. This study sets to investigate the continuous queuing in the Nigerian banking environment despite e-banking adoption in Nigeria. The research adopted a survey design where primary data were obtained using a structured questionnaire. Fifty (50) respondents were purposively chosen. A purposive sampling technique was used which considered banks having branches within Ladoke Akintola University of Technology and Ogbomoso town. OLS regression was used to determine the influence of electronic banking on customers queuing the factors for queuing in the banking environment amid e-banking adoption at 0.05 level of significance. Findings revealed that queue in the study area was most of the time very high in the morning, high in the afternoon and evening while at night, most time witnessed no queue. Electronic banking had a significant influence on customers’ queuing in the study area. Further, Tendency to Hold Cash by banks customers (THC), Poor Internet Infrastructure (PII), Cybercrime (CC) were the major factors causing bank customer queue in the banking environment in Nigeria, followed by Inadequate of Banking Technology Management (IBTM) and E-Banking Transaction Cost (EBTC). Therefore, banks service providers should increase efforts on cashless e-banking services and ensure reliable internet service at all times. Bank customers should be made to appreciate other e-banking services than ATM and allay fear on tendency to hold cash.
RADIOTHERAPY
Authors: Editorial Article
Published: April 2021

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X-RAY THERAPY OF TUMORS AND NON-NEOPLASTIC DISEASES
Authors: Editorial Article
Published: April 2021

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PEDIATRIC RADIOLOGY
Authors: Editorial Article
Published: April 2021

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GASRTROINTESTINAL RADIOLOGY
Authors: Editorial Article
Published: April 2021

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THORACIC RADIOLOGY
Authors: Editorial Article
Published: April 2021

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MILITARY AND EMERGENCY RADIOLOGY
Authors: Editorial Article
Published: April 2021

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KONVERSI BANK KONVENSIONAL MENJADI BANK SYARIAH DI INDONESIA
Authors: Idul Adha Syamsul , Furqani Hafas , Adnan Muhammad
Published: April 2021

Konversi bank konvensional menjadi bank syariah di Indonesia merupakan salah satu mekanisme pembentukan bank syariah yang ditandai dengan perubahan secara legal sistem bank konvensional menjadi sistem bank syariah. Penerapan kebijakan konversi menimbulkan permasalahan model mekanisme tata kelola perusahaan yang kurang efektif dalam menjalankan pengawasan terhadap kepatuhan syariah bank, peningkatan risiko adverse selection dan moral hazard pada model pendanaan muḍarabah dan musyarakah, divergensi model bisnis bank syariah yang disertai tingkat efisiensi dan stabilitas aset yang rendah, dan tingkat kualifikasi sumber daya manusia perbankan syariah yang rendah. Penelitian ini bertujuan untuk menganalisis dampak konversi bank konvensional menjadi bank syariah di Indonesia terhadap tata kelola perusahaan, operasional bank, struktur dan kinerja keuangan, dan sumber daya manusia. Penelitian ini merupakan jenis penelitian peristiwa dalam konteks konversi bank konvensional menjadi bank syariah di Indonesia. Data penelitian ini merupakan data panel. Sumber data penelitian berasal dari laporan keuangan yang dipublikasi. Sampel penelitian terdiri atas 7 bank syariah yang dibentuk melalui kebijakan konversi. Alat analisis terdiri dari regresi OLS (Ordinary Least Square) dan Regresi Kuantil. Hasil penelitian menunjukkan bahwa konversi bank konvensional menjadi bank syariah di Indonesia tidak berpengaruh terhadap Tata Kelola Perusahaan, Operasional Bank, Struktur dan Kinerja Keuangan, dan Sumber Daya Manusia. Konversi bank konvensional menjadi bank syariah di Indonesia berpengaruh terhadap indikator Lag Laporan Auditor Eksternal (External Auditor Reporting Lag) sebesar -30,441 dengan nilai R2 sebesar 0,644 yang menunjukkan bahwa model analisis penelitian dapat mengestimasi perubahan Lag Laporan Auditor Eksternal (External Auditor Reporting Lag) sebesar 64,4% dan sisanya 35,5% dijelaskan oleh variabel lain di luar model analisis penelitian. Konversi bank konvensional menjadi bank syariah di Indonesia berpengaruh terhadap indikator Cadangan Kerugian Penurunan Nilai (Loan Loss Provision) sebesar -0,008 dengan nilai R2 sebesar 0,482 yang menunjukkan bahwa model analisis penelitian dapat mengestimasi perubahan Cadangan Kerugian Penurunan Nilai (Loan Loss Provision) sebesar 48,2% dan sisanya 51,8% dijelaskan oleh variabel lain di luar model analisis penelitian.
MODEL PENGELOLAAN DANA OTONOMI KHUSUS TERHADAP KESEJAHTERAAN MASYARAKAT DI ACEH (DITINJAU DARI MAQASHID SYARIAH)
Authors: Ramzani,P Ikbal , Yusuf Muhammad Yasir , Furqani Hafas
Published: April 2021

Tujuan penelitian ini untuk mengetahui bagaimana kontruksi kebijakan penyusunan dana otonomi khusus dan penggunaanya, serta untuk mengetahui penerapan model penyusunan dan penggunanaan anggaran dana otonomi khusus terhadap kesejahteraan masyarakat yang ditinjau dari perspektif maqashid syariah. Metode penelitian ini menggunakan metode kualitatif deskriptif, yaitu suatu analisis yang mengumpulkan, menyusun, mengelola, dan menganalisis data-data, agar kemudian dapat memberikan gambaran mengenai suatu keadaan tertentu sehingga dapat ditarik kesimpulan. Penerapan penyusunan dan penggunaan anggaran dana otonomi khusus dititikberatkan pada beberapa bidang yaitu infrasruktur, pemberdayaan ekonomi rakyat, pengentasan kemiskinan, pendidikan, kesehatan, sosial dan keistimewaan Aceh. Hasil penelitian ini menunjukkan bahwa penerapan penyusunan dan penggunaan dana otonomi khusus belum sepenuhnya mendominasi dimensi dharuriyyah yang terdiri dari perlindungan agama (hifẓ al-dīn), perlindungan jiwa (hifẓ al-nafs), perlindungan akal (hifẓ al-‘aql), perlindungan keturunan (hifẓ al-nasl), perlindungan harta (hifẓ al-mal), dan perlindungan lingkungan hidup (hifẓ al-biah). Sehingga dana otonomi khusus selanjutnya dapat diproyeksikan untuk meningkatkan kesejahteraan masyarakat Aceh dengan mengunakan tiga dimensi secara hirarki yaitu dharuriyyah, hajjiyyah dan thasaniyyah sebagai basis nilai kebijakan pembangunan Aceh di masa depan yang berlandaskan Syariat Islam.
SISTEM TRANSAKSI DAN PERTANGGUNGAN RISIKO DALAM JUAL BELI DROPSHIPPING MENURUT PERSPEKTIF EKONOMI ISLAM
Authors: Palevy Muhammad Reza , Furqani Hafas , Hasnita Nevi
Published: April 2021

Sistem transaksi jual beli dropshipping merupakan sistem jual beli pesanan yang melibatkan pihak supplier, dropshipper dan pembeli. Peran dropshipper adalah sebagai perantara antara supplier dan pembeli. Fokus permasalahan sebagai objek kajian dalam penelitian ini adalah bagaimana sistem transaksi maupun pertanggungan risiko pada jual beli dropshipping perspektif ekonomi Islam. Dalam penelitian tesis ini peneliti menggunakan metode penelitian studi kepustakaan (library research) dengan analisis kualitatif bersifat deskriptif analisis dengan metode deduktif tentang sistem dropshipping dan dianalisis dengan pendekatan ekonomi Islam. Dari hasil penelitian, sistem jual beli dropshipping yang selama ini dipraktikkan belum memenuhi kriteria akad pesanan dalam Islam seperti akad salam, akad samsarah dan juga akad wakalah dan diidentifikasikan mengandung unsur gharar (ketidakjelasan) dari spesifikasi barang yang dijual oleh dropshipper. Islam melarang adanya penipuan (tadlis), ketidakjelasan (gharar) pada spesifikasi barang. Dari sisi pertanggungan risiko pada jual beli dengan sistem dropshipping tidak sesuai dengan prinsip jual beli dalam Islam dimana pada transaksi tersebut belum ada penerapan hak khiyar sehingga dropshipper melepaskan diri dari segala risiko yang terjadi. Dalam Islam setiap risiko yang terjadi pada transaksi jual beli dropshipping maka ditanggung oleh penjual yaitu dropshipper sebelum barang pesanan diserahterimakan kepada pembeli.
Predictable and host-species specific humanization of the gut microbiota in captive primates
Authors: Houtz Jennifer , Sanders Jon , Denice Anthony , Moeller Andrew
Published: April 2021

Humans and non-human primates (NHPs) harbor complex gut microbial
communities that affect phenotypes and fitness. The gut microbiotas of
wild NHPs reflect their hosts’ phylogenetic histories and are
compositionally distinct from those of humans, but in captivity the
endogenous gut microbial lineages of NHPs can be lost or replaced by
lineages found in humans. Despite its potential contributions to
gastrointestinal dysfunction, this humanization of the gut microbiota
has not been investigated systematically across captive NHP species.
Here we show through comparisons of well-sampled wild and captive
populations of apes and monkeys that the fraction of the gut microbiota
humanized by captivity varies significantly between NHP species but is
remarkably reproducible between captive populations of the same NHP
species. Conspecific captive populations displayed significantly greater
than expected overlap in the sets of bacterial 16S rRNA gene variants
that were differentially abundant between captivity and the wild. This
overlap was evident even between captive populations residing on
different continents but was never observed between heterospecific
captive populations. In addition, we developed an approach incorporating
human gut microbiota data to rank NHPs’ gut microbial clades based on
the propensity of their lineages to be lost or replaced by lineages
found in humans in captivity. Relatively few microbial genera displayed
reproducible degrees of humanization in different captive host species,
but most microbial genera were reproducibly humanized or retained from
the wild in conspecific pairs of captive populations. These results
demonstrate that the gut microbiotas of captive NHPs display
predictable, host-species specific responses to captivity.
Quantification of the influence of different Mini Disk Infiltrometer (MDI) suction settings when measuring infiltration across various soil types
Authors: Revell Nathaniel , Lashford Craig , Blackett Matthew , Rubinato Matteo
Published: April 2021

Defining the infiltration characteristics of an area is beneficial for
understanding soil compaction, determining soil health, and measuring
the rate of surface water infiltration, which is needed for hydrological
modelling. Single and double ring infiltrometers (SRI, DRI) are commonly
used to determine infiltration characteristics in the field, however
these are frequently impractical due to the required water volume, the
weight and the intrusiveness of measurement, hindering the ease of
replication. The Mini Disk Infiltrometer (MDI) offers a lightweight,
portable and non-intrusive method of measuring infiltration, however no
previous research has explained the influence of changing the tension
settings on the collected infiltration data. To address this gap, this
novel study tested the relationship between infiltration data collected
using all tension settings of the Mini Disk Infiltrometer (MDI), against
infiltration data collected using a 100mm Single Ring Infiltrometer
(SRI). Three soil textures (sand, silt and clay) were collected from
different geographical areas of the UK and deposited within the
experimental facility designed for this study. Controlled infiltration
measurements were taken with both the MDI and the SRI for each soil
type, to further define the impact of MDI tension settings on derived
infiltration, in comparison to the SRI. For the first time, the results
show that the MDI tension setting of 0cm most closely replicated the
findings of the SRI across all soils, which was supported through
applying the Nash and Sutcliffe Efficiency (NSE) analysis. The accuracy
with which the MDI replicated the infiltration of the SRI reduced as
tension increased. Consequently, the previously assumed ideal tension
setting of 2 cm, as defined by the MDI handbook and used in previous
research, does not offer an accurate representation of derived
infiltration.
Model analysis of forest thinning impacts on the water resources during hydrological drought periods
Authors: Momiyama Hiroki , Kumagai Tomo'omi , Egusa Tomohiro
Published: April 2021

In Japan, there has recently been an increasing call for forest thinning
to conserve water resources from forested mountain catchments in terms
of runoff during prolonged drought periods of the year. How their water
balance and the resultant runoff are altered by forest thinning is
examined using a combination of 8-year hydrological observations,
100-year meteorological data generator output, and a semi-process-based
rainfall-runoff model. The rainfall-runoff model is developed based on
TOPMODEL assuming that forest thinning has an impact on runoff primarily
through an alteration in canopy interception. The main novelty in this
analysis is that the availability of the generated 100-year
meteorological data allows the investigations of the forest thinning
impacts on mountain catchment water resources under the most severer
drought conditions. The model is validated against runoff observations
conducted at a forested mountain catchment in the Kanto region of Japan
for the period 2010–2017. It is demonstrated that the model reproduces
temporal variations in runoff and evapotranspiration at inter- and
intra-annual time scales, resulting in well reproducing the observed
flow duration curves. On the basis of projected flow duration curves for
the 100-year, despite the large increase in an annual total runoff with
ordinary intensifying thinning, low flow rates, i.e., water resources
from the catchment in the drought period in the year, in both normal and
drought years were impacted by the forest thinning to a lesser extent.
Higher catchment water retention capacity appreciably enhanced the
forest thinning effect on increasing available water resources.
Urosepsis in adults
Authors: Ladjevic Nebojsa , Vuksanovic Aleksandar , Durutovic Otas , Jovicic Jelena , Ladjevic Nikola , Likic-Ladjevic Ivana , Nesic Dejan , Jovanovic Vesna
Published: April 2021

Urosepsis is defined as sepsis caused by urinary tract infection (UTI). Urosepsis represents a quarter of all cases of sepsis in adults. Complications of UTIs are the most common risk factor for urosepsis development. These infections, especially pyelonephritis, often occur in patients with structural or functional malformations that interfere with normal urine flow. The problem of a significant increase in UTIs with multiresistant bacteria should be emphasized, especially in patients with recurrent UTI and their frequent treatments. As the urogenital tract is one of the most common sources of infection in sepsis in general, a detailed assessment of the tract should be carried out in all septic patients. Even though urosepsis is associated with a relatively good prognosis and lower mortality than sepsis of another etiology, it occurs rapidly and progresses at a significant speed. Since urosepsis is mainly the result of obstruction of the urinary tract, the development of septic shock can most often be prevented by implementing early deobstruction. Knowledge of the most common causes of urosepsis and the category of high-risk patients will provide clinicians with the tools with which to prevent its occurrence.
Online optimization based adaptive tracking control for redundant manipulators with model uncertainties
Authors: Xu Zhihao , Zhou Xuefeng
Published: April 2021

Tracking control of robot manipulators is always a fundamental problem in
robot control, especially for redundant manipulators with higher DOFs. This
problem may become more complicated when there exist uncertainties in the
robot model. In this paper, we propose an adaptive tracking controller
considering the uncertain physical parameters. Based on the coordinate
feedback, a Jacobian adaption strategy is firstly built by updating
kinematic parameters online, in which neither cartesian velocity nor joint
acceleration is required, making the controller much easier to built. Using
the Pseudo-inverse method of Jacobian, the optimal repeatability solution is
achieved as the secondary task. Using Lyapunov theory, we have proved that
the tracking errors of the end-effector asymptotically converge to zero.
Numerical simulations are provided to validate the effectiveness of the
proposed tracking method.
Tracking control of ship course system using new six-step zead (Zhang et al discretization) formula with high precision
Authors: Guo Jinjin , Zhang Yunong , Qiu Binbin
Published: April 2021

In this paper, firstly, a new six-step Zhang et al discretization (SSZeaD)
formula is proposed, which is with the truncation error proportional to the
fourth power of sampling period. Then, the SSZeaD formula is used to
discretize a ship course system (SCS) for tracking control, and thus the
SSZeaD-type SCS model is developed. For comparison purposes, the classical
Euler forward formula (EFF) with the truncation error proportional to the
first power of sampling period is also used to discretize the SCS, and thus
the EFF-type SCS model is obtained. Besides, there is an important parameter
called stepsize, which is closely related to the stability and the precision
of the above two discrete-time models. In view of the importance of the
stepsize, the effective stepsize domains of these two discrete-time models
are confirmed by theoretical analyses. Finally, numerical experimental
results well verify the higher tracking precision of the SSZeaD-type SCS
model as compared with the EFF-type SCS model.
A decomposition algorithm of Petri net utilizing index function
Authors: Zhou Kai-Qing , Mo Li-Ping , Chen Chang-Feng , Jiang Wei
Published: April 2021

Recently, it is difficult to simulate, analyze and control a real
knowledge-based system using the correspondence Petri net (PN) when there
exist many current states. To overcome the state explosion problem of PN, an
efficient decomposition algorithm is presented to divide a large-scale PN into
a series of corresponding sub-PNs by keeping the consistency of dynamic
properties. In this novel decomposition approach, an index function is
defined to judge the subnet needs to be decomposed or not. Furthermore, an
exhaustive analysis on the consistency of related dynamic properties is also
discussed between the original PN and the corresponding sub-PNs. Finally, a
case study is carried out to illustrate the feasibility and validity of the
proposed approach.
Design of a nonlinearly activated gradient-based neural network and its application to matrix inversion
Authors: Zhang Yongsheng , Xiao Lin , Ding Lei , Tan Zhiguo , Chenc KE. , Yina Yumin
Published: April 2021

Different from the traditional linearly activated gradient-based neural
network model (GNN model), two nonlinear activation functions are presented
and investigated to construct two nonlinear gradient-based neural network
models (NGNN-1 model and NGNN-2 model) for matrix inversion in this paper.
For comparative and illustrative purposes, the traditional GNN model is also
used to solve matrix inversion problems under the same circumstance. In
addition, the simulation results of the computer finally confirm the
validity and superiority of the two nonlinear gradient-based neural network
models specially activated by two nonlinear activation functions for matrix
inversion, as compared with the traditional GNN model.