bluuebunny/crossref_metadata_2025_split huggingface dataset:
Examining compensated cases of negligence in caesarean sections and it’s legal implications- A case series
Authors: Bhimrao Patekar  Manoj , Rayate Ajinkya Vinod , Kamble Sangharatna Mahajan , Shinde Amol Balwant 
Published: July 2024

Litigation related to Caesarean section which itself is a lifesaving procedure, is a complex issue with global implications. By addressing the factors that contribute to litigations and encouragement of better communication, we can ensure safer childbirth experiences for both mothers and babies. This case series investigates illustrations of compensation claims related to negligence in cesarean section procedures. The focus is on cases where patients experienced adverse outcomes, such as urinary problems and abdominal pain, following cesarean operations. In these cases, subsequent medical examinations revealed complications in newborns, retained surgical instruments, and foreign bodies inside the patients' bodies. All of these issues resulted in claims for compensation due to negligence against the doctors, which were subsequently settled by the commissions under the purview of the Consumer Protection Act, 2019. The series sheds light on the implications of negligence in the context of cesarean sections, where the failure to adhere to standard care protocols led to evident harm. The cases highlight the need for doctors to ensure thorough post-operative procedures, including proper instrument accountability and removal. The consequences of negligence in these cases necessitated additional surgical interventions to relieve patient’s symptoms, prompting claims for compensation.By analyzing this case series, we aim to contribute to the understanding of legal consequences associated with cesarean section negligence and highlight the importance of maintaining the highest standards of care to prevent adverse consequences and subsequent litigation.
Delitos culposos de tránsito cuando la víctima es cónyuge, conviviente o pareja del infractor
Authors: Ortega Mercedes Angelica , Tapia Páez Enrique Xavier , Sánchez Rovalino Ronald 
Published: July 2024

Dentro de esta investigación se estudia la institución de la pena natural, la cual es relativamente nueva en el ordenamiento jurídico ecuatoriano, recién implementada desde agosto del 2014 con la adopción del Código Orgánico Integral Penal. La razón de ser de esta institución es limitar el poder punitivo del Estado, en virtud de la no necesidad de aplicación de una pena estatal (que no es lo mismo que castigo), a quien, a causa y consecuencia de un delito culposo, ha tenido suficiente castigo por su mal causado. El objeto de estudio se centra directamente en la pena natural, descrita en el artículo 372 del Código Orgánico Integral Penal (2014), y en cómo el legislador ha excluido por completo de esta figura jurídica al cónyuge, conviviente o pareja, así como las consecuencias de aquello.
A Cross Sectional Study on Prescription Pattern of Antiepileptic Medication among Children of Southern Rajasthan in a Tertiary Care Teaching Hospital
Authors: Kamlekar Sandeep Kumar , Singh Sakshi , Yadav Arvind Kumar , Pichholiya Meenu , Gupta Sangita 
Published: July 2024

Background: Drug utilization studies are powerful exploratory tools for establishing the role of drugs in society and also effective methods for assessing the prescribing pattern of clinicians. Around 4-10% of children suffer at least one seizure episode at 16 years of age. Even after the availability of several Antiepileptic drugs (AEDs), choosing the correct drug with accurate dosing will produce seizure-free generation. Hence, this study aims to examine the prescription patterns of drugs in epileptic children.
Methods: This study was a cross sectional observational study. Children <16 years old visiting neurology department with a history of epileptic seizures and already on antiepileptic drug therapy were included in the study. The data comprised of demographic details, disease history, type of seizure, diagnosis, investigations done, along with prescribed medication noted in case record form. The total study duration was 13 months.
Results: In this study, the maximum epilepsy encountering age in male and female children was below the 12-year age group, male predominance was higher than females (male 60.83% vs. female 39.16%). The majority of children were diagnosed with generalized tonic colonic seizures, 54.17%, followed by focal/or partial seizures, 39.17%. Sodium valproate 19.16%, carbamazepine 14.17%, oxcarbazepine 16.67%, and levetriacetam 13.33% were the most commonly prescribed single drug regimens for treating both types of seizures, followed by clobazam added as second and third adjuvant drug in resistant epilepsy to valproate 12.5%, oxcarbazepine 6.67%, and levetriacetam plus carbamazepine combination 5% respectively.
Conclusion: Monotherapy was majorly followed in 70% of pediatric patients for maintaining better patient compliance. Both old and new AEDs regimens are prescribed for maintaining the quality of life in patients.
Exploring Student Perspectives and Experiences of Online Opportunities for Virtual Care Skills Development: Sequential Explanatory Mixed Methods Study
Authors: Nowell Lorelli , Dolan Sara , Johnston Sonja , Jacobsen Michele , Lorenzetti Diane , Oddone Paolucci Elizabeth 
Published: July 2024

Background
Caring profession students require skills and competencies to proficiently use information technologies for providing high-quality and effective care. However, there is a gap in exploring the perceptions and experiences of students in developing virtual care skills within online environments.

Objective
This study aims to better understand caring professional students’ online learning experiences with developing virtual care skills and competencies.

Methods
A sequential explanatory mixed methods approach, integrating both a cross-sectional survey and individual interviews, was used to better understand caring professional students’ online learning experiences with developing virtual care skills and competencies.

Results
A total of 93 survey and 9 interview participants were drawn from various faculties, including students from education, nursing, medicine, and allied health. These participants identified the barriers, facilitators, principles, and skills related to learning about and delivering virtual care, including teaching methods and educational technologies.

Conclusions
This study contributes to the growing body of educational research on virtual care skills by offering student insights and suggestions for improved teaching and learning strategies in caring professions’ programs.
Performance of Large Language Models in Patient Complaint Resolution: Web-Based Cross-Sectional Survey
Authors: Yong Lorraine Pei Xian , Tung Joshua Yi Min , Lee Zi  Yao , Kuan Win Sen , Chua Mui Teng 
Published: July 2024

Background
Patient complaints are a perennial challenge faced by health care institutions globally, requiring extensive time and effort from health care workers. Despite these efforts, patient dissatisfaction remains high. Recent studies on the use of large language models (LLMs) such as the GPT models developed by OpenAI in the health care sector have shown great promise, with the ability to provide more detailed and empathetic responses as compared to physicians. LLMs could potentially be used in responding to patient complaints to improve patient satisfaction and complaint response time.

Objective
This study aims to evaluate the performance of LLMs in addressing patient complaints received by a tertiary health care institution, with the goal of enhancing patient satisfaction.

Methods
Anonymized patient complaint emails and associated responses from the patient relations department were obtained. ChatGPT-4.0 (OpenAI, Inc) was provided with the same complaint email and tasked to generate a response. The complaints and the respective responses were uploaded onto a web-based questionnaire. Respondents were asked to rate both responses on a 10-point Likert scale for 4 items: appropriateness, completeness, empathy, and satisfaction. Participants were also asked to choose a preferred response at the end of each scenario.

Results
There was a total of 188 respondents, of which 115 (61.2%) were health care workers. A majority of the respondents, including both health care and non–health care workers, preferred replies from ChatGPT (n=164, 87.2% to n=183, 97.3%). GPT-4.0 responses were rated higher in all 4 assessed items with all median scores of 8 (IQR 7-9) compared to human responses (appropriateness 5, IQR 3-7; empathy 4, IQR 3-6; quality 5, IQR 3-6; satisfaction 5, IQR 3-6; P<.001) and had higher average word counts as compared to human responses (238 vs 76 words). Regression analyses showed that a higher word count was a statistically significant predictor of higher score in all 4 items, with every 1-word increment resulting in an increase in scores of between 0.015 and 0.019 (all P<.001). However, on subgroup analysis by authorship, this only held true for responses written by patient relations department staff and not those generated by ChatGPT which received consistently high scores irrespective of response length.

Conclusions
This study provides significant evidence supporting the effectiveness of LLMs in resolution of patient complaints. ChatGPT demonstrated superiority in terms of response appropriateness, empathy, quality, and overall satisfaction when compared against actual human responses to patient complaints. Future research can be done to measure the degree of improvement that artificial intelligence generated responses can bring in terms of time savings, cost-effectiveness, patient satisfaction, and stress reduction for the health care system.
Decision Aid for Colectomy in Recurrent Diverticulitis: Development and Usability Study
Authors: Hawkins Alexander T , Fa Andrea , Younan Samuel A , Ivatury Srinivas Joga , Bonnet Kemberlee , Schlundt David , Gordon Elisa J , Cavanaugh Kerri L 
Published: July 2024

Background
Diverticular disease is a common gastrointestinal diagnosis with over 2.7 million clinic visits yearly. National guidelines from the American Society of Colon and Rectal Surgeons state that “the decision to recommend elective sigmoid colectomy after recovery from uncomplicated acute diverticulitis should be individualized.” However, tools to individualize this decision are lacking.

Objective
This study aimed to develop an online educational decision aid (DA) to facilitate effective surgeon and patient communication about treatment options for recurrent left-sided diverticulitis.

Methods
We used a modified design sprint methodology to create a prototype DA. We engaged a multidisciplinary team and adapted elements from the Ottawa Personal Decision Guide. We then iteratively refined the prototype by conducting a mixed methods assessment of content and usability testing, involving cognitive interviews with patients and surgeons. The findings informed the refinement of the DA. Further testing included an in-clinic feasibility review.

Results
Over a 4-day in-person rapid design sprint, including patients, surgeons, and health communication experts, we developed a prototype of a diverticulitis DA, comprising an interactive website and handout with 3 discrete sections. The first section contains education about diverticulitis and treatment options. The second section clarifies the potential risks and benefits of both clinical treatment options (medical management vs colectomy). The third section invites patients to participate in a value clarification exercise. After navigating the DA, the patient prints a synopsis that they bring to their clinic appointment, which serves as a guide for shared decision-making.

Conclusions
Design sprint methodology, emphasizing stakeholder co-design and complemented by extensive user testing, is an effective and efficient strategy to create a DA for patients living with recurrent diverticulitis facing critical treatment decisions.
An Examination of Yun D. Y.'s Thought on the Peasant Question
Authors: Liang Shuli 
Published: July 2024

Yun D. Y., as one of the important leaders in charge of peasant work in the early days of the Communist Party of China, gradually formed a systematic thought on the peasant issue in the practice of revolutionary struggle. Yun D. Y. insisted on the leadership of the proletariat over the peasants in the peasant issue; highly affirmed the great role of the peasants in the new democratic revolution and called on the peasants to participate in the revolution; led the peasant movement and armed the peasants; and insisted that all the work should be centered on the masses, leaving behind a valuable legacy for the solution of the peasant issue in his short life. Yun D. Y.'s thinking and exploration of the peasant problem promoted the modernization of Marxism and laid a solid foundation for the Chinese Communists to seek the correct revolutionary path of "encircling the city with the countryside" in theory and practice.
paradigma de la Inteligencia Artificial al servicio del talento y la equidad
Authors: Ariza Gómez Jesús 
Published: July 2024

Se toma como punto de partida las observaciones realizadas desde investigaciones de la Universidad de Cambridge para refutar su apreciación sobre el carácter negativo que puede tener el desarrollo de la IA como tecnología aplicable para la gestión de talento en la selección de personal. Los experimentos realizados aparentemente se enfocaron desde el campo del análisis de comportamiento y patrones faciales, dejando poca explicación sobre la incidencia de las competencias y su importancia en los procesos de selección. Se argumenta entonces, sobre las necesidades de las organizaciones, la caracterización de cargos y roles por competencias y la relevancia de tecnologías emergentes como la IA para optimizar los procesos de gestión en las estrategias de las empresas, teniendo presente teorías aceptadas tanto en la gestión de talento como en el campo tecnológico y visualizando la necesidad de esta tecnología emergente para brindar soluciones a necesidades, puntualmente observadas en las organizaciones, para sus procesos de reclutamiento, selección e incorporación, entre otros relacionados con el área de talento. En la misma perspectiva, se brinda un punto de vista reflexivo sobre la incidencia de las percepciones humanas (sesgos sociales) sobre las oportunidades laborales y escalamiento de las organizaciones, en su competitividad y diferenciación en una nueva normalidad.
Intervenciones de enfermería en el cuidado del niño con cáncer
Authors: Padilla Constante Kisi Nayidis , Quintero Ramírez Nini Milena , Granados Cayon Tais Estervis 
Published: July 2024

El cáncer es una enfermedad que deteriora no solo la salud física, sino psicológica, social y espiritual del individuo, sobre todo al tratarse de niños. Sus respuestas de afrontamiento no podrán ser las mismas que las de un adulto. En consecuencia, es importante que el personal a cargo del cuidado de enfermería posea herramientas desde el saber, el ser y el hacer, que le permitan un abordaje integral.
Revisión de literatura en bases de datos: ProQuest, Science Direct, Dialnet y Google Académico y se incluyeron once estudios con relación a la población infantil. Se seleccionaron 11 documentos que desarrollaban tres categorías: las intervenciones farmacológicas, las no farmacológicas y combinadas evidenciando que se puede optimizar la calidad de vida en los infantes familia.
Concluyéndose, las intervenciones no farmacológicas, como la musicoterapia, el ejercicio físico, masajes, el entorno familiar entre otros, son importantes en el individuo, respetando sus características y necesidades propias. En relación con la intervención no farmacológica, prioriza el alivio del dolor, defensa de los órganos y alarga la vida del infante con cáncer y las intervenciones combinadas, permite la integralidad en el cuidado, favoreciendo la comodidad y la confianza a la familia.
UTILIZATION OF BLOCKCHAIN TECHNOLOGY IN THE ECONOMIC SECTOR: A COMPILATION OF SHARIA ECONOMIC LAW PERSPECTIVES
Authors: Asmarini Andini , Nursalam Rahmatullah  
Published: July 2024

Blockchain is a revolutionary concept in information technology that allows the creation and storage of data in a decentralized and encrypted manner. However, blockchain is still a new system in the economic world, so it is necessary to ensure that this technology complies with Sharia standards. In this case, the Compilation of Sharia Economic Law is an essential guideline in Sharia economics in Indonesia because it provides legal certainty, regulatory standards, and consumer protection and supports the development of Sharia finance. This article was written to provide an overview of the opportunities for utilizing blockchain technology in the economic sector from a KHES perspective. The method used is library research, a normative juridical approach, by analyzing documents and information related to the study problem. The results show that KHES articles suit the blockchain character, some of which are articles 21, 179-180, 200, 413, and 577. However, an in-depth analysis is needed regarding the principles of Sharia and the need for a fatwa. Apart from that, it is essential to make clear regulations by the government and government authorities regarding the use of blockchain technology. With proper regulations, blockchain can become helpful in developing the Sharia economy.
Abstrak
Blockchain adalah konsep yang revolusioner dalam teknologi informasi yang memungkinkan pembuatan dan penyimpanan data secara terdesentralisasi dan terenkripsi. Keunggulan utama dari blockchain adalah transparansi dan keamanan. Kendati demikian, blockchain tetaplah system baru dalam dunia ekonomi, sehingga perlu dipastikan jika teknologi ini sesuai dengan standar syariah. Dalam hal ini, Kompilasi Hukum Ekonomi Syariah menjadi pedoman penting dalam ekonomi syariah di Indonesia karena memberikan kepastian hukum, standar regulasi, perlindungan konsumen, dan dukungan pengembangan keuangan syariah. Artikel ini ditulis untuk memberikan gambaran mengenai konsep blockchain dan peluang pemanfaatan teknologi blockchain di bidang ekonomi dalam perspektif KHES. Metode yang digunakan adalah library research, pendekatan normatif yuridis. Tahapan dalam penelitian ini, meliputi: pengidentifikasian secara sistematik, serta analisis dokumen dan informasi yang berkaitan dengan masalah kajian. Hasil menunjukkan terdapat pasal KHES yang sesuai karakter blockchain, beberapa diantaranya: pasal 21, pasal 179-180, Pasal 200, Pasal 413 dan Pasal 577. Meski demikian, dibutuhkan analisis mendalam terkait prinsip kepatuhan syariah dan perlu adanya fatwa khusus. Selain itu, penting dibuatnya regulasi yang jelas oleh pemerintah dan otoritas keuangan mengenai penggunaan teknologi blockhcain. Dengan regulasi yang tepat, edukasi yang memadai, dan penilaian dari ahli syariah, blockchain dapat menjadi alat yang sangat berguna dalam mengembangkan ekonomi syariah yang lebih adil dan transparan.
Comparison of Waste Production in Regions of the Czech Republic in 2019-2021
Authors: Zedek Lukáš , Šembera Jan 
Published: July 2024

Abstract
The purpose of this article is to illustrate the intuitively understood links between the social and economic characteristics of an area and the waste production at a given location. These relationships have been investigated using statistical data from thirteen regions in the Czech Republic between 2019 and 2021. In order to evaluate the data, freely available tools such as Python 3.8.16 and a number of its libraries, e.g. matplotlib, plotly, sklearn, numpy and others, have been used.
Machine Learning Techniques for Fatal Accident Prediction
Authors: Zermane Hanane , Zermane Abderrahim , Tohir Mohd Zahirasri Mohd 
Published: July 2024

Abstract
Ensuring public safety on our roads is a top priority, and the prevalence of road accidents is a major concern. Fortunately, advances in machine learning allow us to use data to predict and prevent such incidents. Our study delves into the development and implementation of machine learning techniques for predicting road accidents, using rich datasets from Catalonia and Toronto Fatal Collision. Our comprehensive research reveals that ensemble learning methods outperform other models in most prediction tasks, while Decision Tree and K-NN exhibit poor performance. Additionally, our findings highlight the complexity involved in predicting various aspects of crashes, as the Stacking Regressor shows variability in its performance across different target variables. Overall, our study provides valuable insights that can significantly contribute to ongoing efforts to reduce accidents and their consequences by enabling more accurate predictions.
Study on natural disasters and protection measures in the Danxia landform region
Authors: Sun Yongxing 
Published: July 2024

Abstract
The unique landform of Danxia and the resulting landscape have become significant tourism resources. To fully utilize these resources, a comprehensive investigation has been conducted on geological and ecological disasters in the Danxia area. Through experiments on rock and soil samples, as well as X-ray diffraction mineral composition studies of Danxia rocks, it is evident that Mudstone with high clay mineral content is prone to collapse under water-karst erosion conditions, while sandstone with high clay mineral content easily weathers into grooves, which greatly impacts the overall stability of the cultural landscape carved into Danxia cliffs. Therefore, Health, Safety, and Environmental (HSE) technology is applied to protect and manage the Danxia landscape. An HSE management evaluation index system is established for different types of Danxia landscapes to provide a scientific theoretical basis and technical means for protecting and managing the cultural landscape across various regions.
Design and Effectiveness Analysis of Chorus and Conducting Courses in Colleges and Universities Based on Data Mining
Authors: Ailing Li , Yuqin Zhang 
Published: July 2024

Abstract
The teaching of chorus and command is an important basic course for Musicology Majors in applied universities. It is also regarded as a basic subject in many art performance courses. The teaching of chorus and command affects the teaching effect of art majors and the quality of talent training to a certain extent. Based on DM(data mining), this paper studies the design and effectiveness analysis of the College chorus and conducting the course. The research shows that the DM algorithm in this paper has the highest support in college chorus and conducting course design, with an average support of 60.39%. The average support of AI(artificial intelligence) and ant colony algorithm is 45.48% and 34.04% respectively. It can be seen that the DM algorithm in this paper is more suitable for the research of the support degree of the chorus and Command Course Design in Universities and colleges. Through DM, students are trained to skillfully and accurately master the skills of chorus and command, can correctly express the author’s creative intention, and can recreate the work data in time during the rehearsal. At the same time, they can constantly summarize teaching experience, accumulate a certain number of teaching data tracks, and enhance their ability to grasp large-scale music tracks.