bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analisis Kapasitas Saluran Drainase Kelurahan Kalipang Kecamatan Sutojayan Kabupaten Blitar menggunakan EPA SWMM 5.1
Authors: Cahyo Trilaksono  , Runi Asmaranto  , Riyanto Haribowo  
Published: May 2024

Perubahan lahan terbuka hijau menjadi kawasan permukiman di Kelurahan Kalipang mempengaruhi kemampuan lahan dalam menyerap air. Salah satu dampak yang ditimbulkan oleh hal tersebut yaitu meningkatnya limpasan permukaan,sehingga menyebabkan saluran meluap dan terjadi genangan. Tujuan penelitian ini untuk menganalisis kapasitas saluran drainase eksisting yang ada di Kelurahan Kalipang Kecamatan Sutojayan Kabupaten Blitar. Dalam studi ini digunakan aplikasi SWMM 5.1 untuk membantu simulasi hujan menjadi limpasan permukaan dan melakukan analisis kapasitas saluran. Dari hasil analisis didapatkan total limpasan yang terjadi dengan menggunakan hujan rancangan kala ulang 5 tahun yaitu sebesar 126.98 103m3. Hasil simulasi menunjukan terdapat 9 Daerah Pengaliran Saluran (subcatchment) (S2, S4, S6, S19, S35, S38, S42, S43 dan S48) menghasilkan limpasan permukaan yang besar dengan nilai debit limpasan lebih besar dari 0.5 m3/detik. Analisis terhadap kapasitas tampungan saluran menunjukan terdapat 27 saluran yang tidak mencukupi dan mengakibatkan luapan. Untuk mengatasi permasalahan tersebut maka dilakukan perencanaan pengembangan dengan melakukan perubahan dimensi terhadap saluran yang meluap 27 dan 4 saluran sekitarnya. Saluran yang telah dilakukan perubahan memiliki dimesi tinggi 0.5-1 m dan lebar 0.5-1 m. Solusi lainnya dengan merencanakan penambahan 3 saluran baru dan 2 penambahan outfall dilakukan untuk mengurangi debit limpasan pada saluran eksisting.
Digital Health Interventions for Chronic Wound Management: A Systematic Review and Meta-Analysis
Authors: Bai Xinrui , Zhang Hongyan , Jiao Yanxia , Yuan Chenlu , Ma Yuxia , Han Lin 
Published: May 2024

Background
Digital health interventions (DHIs) have shown promising results for the management of chronic wounds. However, its effectiveness compared to usual care and whether variability in the type of intervention affects wound outcomes are unclear.

Objective
The main objective was to determine the effectiveness of DHIs on wound healing outcomes in adult patients with chronic wounds. The secondary objectives were to assess if there was any variation in wound healing outcomes across the various types of DHIs.

Methods
In total, 9 databases were searched for the literature up to August 1, 2023. Randomized controlled trials (RCTs), cohort studies, and quasi-experimental studies comparing the efficacy of DHIs with controls in improving wound outcomes in adult patients with chronic wounds were included. Study selection, data extraction, and risk of bias assessment were conducted independently by 2 reviewers. We assessed the quality of each RCT, cohort study, and quasi-experimental study separately using the Cochrane risk of bias tool, ROBINS-I, and the Joanna Briggs Institute Critical Appraisal tools checklists. Relative risks (RRs) and 95% CIs were pooled using the random effects model, and heterogeneity was assessed by the I2 statistic. Subgroup analysis and sensitivity analysis were also performed.

Results
A total of 25 studies with 8125 patients were included in this systematic review, while only 20 studies with 6535 patients were included in the meta-analysis. Efficacy outcomes in RCTs showed no significant differences between the DHIs and control groups in terms of wound healing (RR 1.02, 95% CI 0.93-1.12; P=.67) and all-cause mortality around 1 year (RR 1.08, 95% CI 0.55-2.12; P=.83). Compared with the control group, the use of DHIs was associated with significant changes in adverse events (RR 0.44, 95% CI 0.22-0.89; P=.02). Subgroup analysis suggested a positive effect of the digital platforms in improving wound healing (RR 2.19, 95% CI 1.35-3.56; P=.002). Although meta-analysis was not possible in terms of wound size, cost analysis, patient satisfaction, and wound reporting rates, most studies still demonstrated that DHIs were not inferior to usual care in managing chronic wounds.

Conclusions
The findings of our study demonstrate the viability of adopting DHIs to manage chronic wounds. However, more prominent, high-quality RCTs are needed to strengthen the evidence, and more detailed clinical efficacy research is required.

Trial Registration
PROSPERO CRD42023392415; https://tinyurl.com/4ybz6bs9
Retrospecting Digital Media Use, Negative Emotions, and Trust Gaps During the COVID-19 Pandemic in China: Cross-Sectional Web-Based Survey
Authors: Wei Lu , Huang Qing 
Published: May 2024

Background
Retrospecting the trust gaps and their dynamics during the pandemic is crucial for understanding the root causes of postpandemic challenges and offers valuable insights into preparing for future public health emergencies. The COVID-19 pandemic eroded people’s trust in strangers and acquaintances, while their trust in family members remained relatively stable. This resulted in 2 trust gaps, namely, the family members–strangers trust gap and the family members–acquaintances trust gap. Widening trust gaps impede social integration and undermine the effective management of public health crises. However, little is known about how digital media use shaped trust gaps during a pandemic.

Objective
This study aims to investigate the relationships between digital media use, negative emotions, the family members–strangers trust gap, and the family members–acquaintances trust gap during the COVID-19 pandemic in China. We test the mediating role of negative emotions between digital media use and 2 trust gaps and compare the indirect effect of digital media use on 2 trust gaps through negative emotions.

Methods
A cross-sectional web-based survey was conducted in China between January 31, 2020, and February 9, 2020. A total of 1568 adults participated in the survey. Questions related to digital media use, negative emotions, trust in family members, trust in acquaintances, and trust in strangers during the pandemic were asked. Regression analyses were performed to test the associations between the examined variables. We used a 95% bootstrap CI approach to estimate the mediation effects.

Results
Digital media use was positively associated with negative emotions (B=0.17, SE 0.03; P<.001), which in turn were positively associated with the family members–strangers trust gap (B=0.15, SE 0.03; P<.001). Likewise, digital media use was positively associated with negative emotions (B=0.17, SE 0.03; P<.001), while negative emotions were positively associated with the family members–acquaintances trust gap (B=0.08, SE 0.03; P=.01). Moreover, the indirect effect of digital media use on the family members–strangers trust gap (B=0.03, SE 0.01; 95% CI 0.01-0.04) was stronger than that on the family members–acquaintances trust gap (B=0.01, SE 0.01; 95% CI 0.003-0.027).

Conclusions
The results demonstrate that negative emotions resulting from the frequent use of digital media are a key factor that accounts for the widening trust gaps. Considering the increasing reliance on digital media, the findings indicate that the appropriate use of digital media can prevent the overamplification of negative emotions and curb the enlargement of trust gaps. This may help restore social trust and prepare for future public health crises in the postpandemic era.
Chatbot for Social Need Screening and Resource Sharing With Vulnerable Families: Iterative Design and Evaluation Study
Authors: Sezgin Emre , Kocaballi A Baki , Dolce Millie , Skeens Micah , Militello Lisa , Huang Yungui , Stevens Jack , Kemper Alex R 
Published: May 2024

Background
Health outcomes are significantly influenced by unmet social needs. Although screening for social needs has become common in health care settings, there is often poor linkage to resources after needs are identified. The structural barriers (eg, staffing, time, and space) to helping address social needs could be overcome by a technology-based solution.

Objective
This study aims to present the design and evaluation of a chatbot, DAPHNE (Dialog-Based Assistant Platform for Healthcare and Needs Ecosystem), which screens for social needs and links patients and families to resources.

Methods
This research used a three-stage study approach: (1) an end-user survey to understand unmet needs and perception toward chatbots, (2) iterative design with interdisciplinary stakeholder groups, and (3) a feasibility and usability assessment. In study 1, a web-based survey was conducted with low-income US resident households (n=201). Following that, in study 2, web-based sessions were held with an interdisciplinary group of stakeholders (n=10) using thematic and content analysis to inform the chatbot’s design and development. Finally, in study 3, the assessment on feasibility and usability was completed via a mix of a web-based survey and focus group interviews following scenario-based usability testing with community health workers (family advocates; n=4) and social workers (n=9). We reported descriptive statistics and chi-square test results for the household survey. Content analysis and thematic analysis were used to analyze qualitative data. Usability score was descriptively reported.

Results
Among the survey participants, employed and younger individuals reported a higher likelihood of using a chatbot to address social needs, in contrast to the oldest age group. Regarding designing the chatbot, the stakeholders emphasized the importance of provider-technology collaboration, inclusive conversational design, and user education. The participants found that the chatbot’s capabilities met expectations and that the chatbot was easy to use (System Usability Scale score=72/100). However, there were common concerns about the accuracy of suggested resources, electronic health record integration, and trust with a chatbot.

Conclusions
Chatbots can provide personalized feedback for families to identify and meet social needs. Our study highlights the importance of user-centered iterative design and development of chatbots for social needs. Future research should examine the efficacy, cost-effectiveness, and scalability of chatbot interventions to address social needs.
A Decade of Airglow Observation of Mesospheric Fronts over the Brazilian Equatorial Region
Authors: Carvalho Emanuel Barbosa de , Paulino Igo , Wrasse Cristiano Max 
Published: May 2024

Mesospheric fronts were observed over São João do Cariri (7.4ºS, 36.5ºW), in the northeast region of Brazil, from September 2011 to June 2021 using an all sky airglow imager. The occurrence of the mesospheric fronts presented a well defined seasonality with maximum in the Spring period of ten consecutive years. In addition, an anisotropy was observed in the preferential propagation direction, in which most of the front propagated to the northeast. These results suggest that the seasonality and anisotropy can be produced due to either the location of sources or the filtering process associated with the wind system. Other important aspects like the statistics of trailing waves and ripples observed simultaneously were reported as well.
Application of Decision Tree and Machine Learning in New Energy Vehicle Maintenance Decision Making
Authors: Jiang Xuefeng , Li Min , Cheng Lin 
Published: May 2024

Abstract
Several incidents of electric vehicle combustion across various regions in China have brought the safety concerns associated with new energy vehicles into sharp focus within public discourse. Addressing these concerns, this paper explores maintenance decision-making for new energy vehicles through the application of decision trees and machine learning techniques. Initially, the study analyzes how decision trees and machine learning are employed in crafting maintenance decisions for these vehicles. It involves collecting data through internet searches, followed by statistical analyses and preprocessing to set the groundwork for further inquiry. Furthermore, the research advances by developing and refining decision tree models, which facilitate the integration of fault diagnosis and maintenance decision-making processes for new energy vehicles. This effort culminates in the establishment of a robust decision tree model specifically designed for the maintenance of new energy vehicles, which is subsequently evaluated through a detailed case study. The results are presented: the approximation degree of new energy vehicle fault diagnosis based on the decision tree model is 90.58%, 90.67%, 88.09%, 91.28%, and 90.19% at the significant level of α taking the value of 0.01, 0.05, 0.100, respectively. This study provides theoretical guidance on the application of decision trees for the diagnosis and repair of faults in new energy vehicles so that the development of new energy vehicles in China can be ensured.
Occupancy Impact on Air Quality in Repurposed Museum Space
Authors: Gruden Lucija , Stritih Uroš 
Published: May 2024

Abstract
This study investigates the air quality and ventilation effectiveness in a repurposed museum space with a hybrid ventilation system in Ljubljana, Slovenia. Focusing on CO2 and particulate matter concentrations, the aim is to determine the correlation between these parameters and the suitability of the ventilation system following a change in space use. Measurements were conducted over a four-month period, analyzing data during different occupancy and ventilation scenarios. The study compares observed values with World Health Organization (WHO) guidelines, specifically targeting PM2.5, PM10, and CO2 concentrations. Findings reveal inadequate ventilation in the repurposed museum space, even with hybrid ventilation. CO2 concentrations correlated with PM2.5 and PM10 levels, suggesting CO2 monitoring as an indirect indicator of overall air quality. Recommendations include improving ventilation efficiency and limiting occupancy to ensure adherence to air quality standards.
Trust in Intraorganizational Relationships: The Case of COOPERORG-DF
Authors: Setragni Jacqueline Valle , Junqueira Ana Maria Resende 
Published: May 2024

Purpose: Associativism and cooperativism, as social technologies, are promoters of rural development. Social capital and, above all, trust is essential for the success of organizations. The study considers – from the perspective of the members – the relationships of trust in the Cooperative of Producers of the Organic Market of Brasília, Federal District, as well as identifying the social capital formed by actors that make up this organization. Methodology: The research is applied, has an exploratory character, a qualitative and quantitative approach, representing a case study. The dimensions of organic food production in the DF are highlighted through the collection of updated data and, also, with emphasis on informality and the flow constant of (in)formal relations in the cooperative environment.

Results and Discussion: The demographic and socioeconomic profile of the cooperative members demonstrate the influence of the strengthening of cooperative actors on the development of their own businesses, contrasting with the current development of the cooperative. The results reveal the gaps observed in cooperative management, demonstrating the importance of relationships based on trust for strategic management, as well as for strengthening social capital as a basis for the development of cooperative organizations.
Implications of the Research: It is hoped that the results presented can support future studies and research relevant to collective actions based on trusting relationships and contribute to positive changes in cooperativism.

Originality and Value: The research innovates in the presentation of a research agenda based on the construct – trust, observed in the interpretation of cooperative actors who form the first cooperative of organic food producers in the Federal District, Federal Capital of Brazil.
Spinal epidermoid cyst associated with limited dorsal myeloschisis
Authors: Hammoud Marouane , Cisse Dramane , Chakour Khalid , Chaoui Mohamed El Faiz 
Published: May 2024

Background:
Epidermoid cysts (ECs) are rare benign tumors arising from epidermal cells, associated with congenital abnormalities or acquired through trauma, surgery, or lumbar punctures. They represent <1% of all intraspinal tumors and may be associated with limited dorsal myeloschisis (LDM).

Case Description:
A 7-year-old neurologically intact male had a dorsal skin mass since birth located posteriorly in the midline of the inferior thoracic spine. The mass was palpable, painless, mobile, vascularized, and could be transilluminated. Thoracic magnetic resonance imaging showed an extensive intradural extramedullary cystic lesion extending from D6 to D8 that did not enhance with contrast, accompanied by a subcutaneous fluid collection at D8–D9 communicating with the subarachnoid space. The patient underwent gross total resection of the lesion, pathologically confirmed as an EC. The postoperative course was uneventful, with no recurrence 1 year postoperatively.

Conclusion:
LDM may be associated with ECs. Early diagnosis and surgical resection of these lesions are essential for favorable outcomes.
DEVELOPMENT OF A SYSTEM FOR THE CHARACTERIZATION OF LOW POWER SUPERCAPACITORS
Authors: Olarte Ortiz Oscar , Moreno Celis Ingrid Johanna , Cely Quesada Franky Yoan , Retamoso Llamas Alonso de Jesús , Gonzalez Fabio Alfonso 
Published: May 2024

Supercapacitors are presented as a viable energy, technical, and economic alternative in electrical energy storage and supply applications. This non-linear electrochemical device needs specific electrical models to represent its real behavior. Only one resistance value and one capacitance value are found in the data sheets provided by the supercapacitor manufacturers, which do not allow any of these electrical models to be conceived. This work presents the simulation and assembly of a simple, economical, efficient, and easy to implement system to characterize low power supercapacitors. Said characterization is based on parameterizing the passive elements of a selected supercapacitor model. An algorithm for the identification of parameters implemented in Matlab is proposed, which is based on iterative methods and laboratory tests (charge and discharge of the supercapacitor). The conception of a genetic algorithm of our authorship is also proposed as one of the iterative solution methods. The results obtained are satisfactory, and a successful experimental model for each supercapacitor under study was obtained.
Awareness Regarding Eye Donation among Doctors, Students, and Paramedics at a Tertiary Care Teaching Hospital
Authors: Saquib Mohammed , Mehta Bhavya , Bhargava Rahul , Malik Anu 
Published: May 2024

Introduction: In the sub-continent, there is a huge discrepancy between the cornea collected and the ever-increasing demand. Lack of awareness, faulty perceptions, and unwillingness to donate corneas are the major hurdles.
Objectives: To assess the level of awareness among doctors, students, and paramedics in a teaching hospital.
Materials and methods: An analytical cross-sectional, pre-tested, study design assessed the awareness, knowledge, and attitude among health care workers (medical students, nurses, doctors, and paramedics) in the context of eye donation through a administered self-administered semi-structured questionnaire.
Results: In our study, 692 (57.7%) of the respondents were aware that the ideal time for donation was within six hours of death. Our study revealed that 875 (72.9) of the respondents were willing to donate their eyes; out of these 305 (25.4%) were MBBS students and 223 (18.6%) were nursing students, (Chi-square tests, p <0.001). Six-hundred and twenty-five (52.1%) respondents knew that the nearest eye bank should be contacted if they or any of their family members wished to donate their eyes. However, only 90 (7.5%) of the respondents’ family/ relatives had donated his/her eyes. A significant association between knowledge of eye donation and the age, gender, religion, or marital status and knowledge of eye donation of participants was observed.
Conclusion: The study highlights the need for creating awareness about eye donation among doctors, medical students, and paramedics, who can be an effective channel for planning, educating, and motivating the public to pledge for eye donation.
Comparability of Measurement of Astigmatism between URk-800F Auto Refracto-keratometer and MS-39 Anterior Segment Optical Coherence Tomography in Patients with Refractive Error
Authors: Gupta Namrata , Maharjan Samrina , Sapkota Suman 
Published: May 2024

Introduction: Accurate refractive error assessment is the first and the most important step of ocular examination. A reliable screening method of refractive status is important for early detection and prevention of blinding complications of uncorrected refractive error.
Objectives: To evaluate the comparability of astigmatism measured by an auto-refractometer (URk-800F) with the measurements of the gold standard anterior segment optical coherence tomography (AS-OCT).
Materials and methods:This cross-sectional observational study was conducted in a tertiary eye centre in Kathmandu from February 2023 to June 2023. A total of 100 patients with best corrected visual acuity of ≥ 20/20, spherical refractive error with cylindrical error of more than and equal to -0.75 and no pathology detected on slit lamp examination were taken by consecutive sampling method. Ethical approval was taken for the study. The data were entered into Microsoft Excel and analysed using Bland-Altman analysis.
Results: The mean cylindrical power and axis was -2.33 D and 88 degrees for the right eye and -2.32 D and 122 degrees for the left eye respectively, as measured by MS-39 AS-OCT. For URK 800-F Auto-refracto Keratometer, the mean cylindrical power and axis was -2.31 D and 89 degrees for the right eye and -2.27 D and 124 degrees for the left eye.
Conclusion: The findings of this study conclude that an auto-refractometer can be used as an effective tool for identification of spherical refractive error as well as measurement of accurate cylindrical power and cylindrical axis in low resource primary care settings.