bluuebunny/crossref_metadata_2025 huggingface dataset:
A Review of Hidradenitis Suppurativa (HS)
Authors: Kadhum Eftikhaar Hasan
Published: October 2024

Background: Hidradenitis suppurativa (HS) is a chronic, inflammatory skin disease of the hair follicle, affecting intertriginous areas such as the axillae, perianal, and inguinal regions. It is more prevalent in females, with peak onset between ages 18 and 29. Specific Background: HS, characterized by nodules, abscesses, and sinus tract scarring, uses the Hurley staging system for disease severity classification, but its limitations exist due to its static clinical features. Knowledge Gap: Although several treatment modalities exist, ranging from antibiotics to surgery, there is no definitive therapy, and the pathogenesis remains poorly understood, complicating early diagnosis and management. Moreover, international diagnostic delays of 8-12 years further hinder patient outcomes. Aims: This study aims to explore the limitations of current classification and treatment approaches, while emphasizing the importance of prevention strategies and timely diagnosis to mitigate HS severity. Results: The Hurley classification, though widely used, fails to account for disease progression or quality of life. Current treatment options depend on disease severity, including topical and systemic antibiotics, hormonal therapies, biologics, and surgical interventions. Prevention strategies, such as laser hair removal and lifestyle modifications (e.g., smoking cessation, weight management), are essential to reducing disease impact. Novelty: This research highlights the under-explored role of early prevention and lifestyle interventions in managing HS and reducing progression through Hurley stages. Implications: Enhanced diagnostic tools, combined with early intervention strategies and a holistic approach to patient care, are necessary to improve clinical outcomes, reduce diagnostic delays, and minimize HS-related morbidity. Further research is needed to better understand the genetic and environmental factors contributing to HS pathogenesis.
Highlights:
 

HS peaks in females aged 18-29 with chronic skin inflammation.
8-12 years diagnostic delay worsens disease severity and treatment.
Prevention: laser hair removal, lifestyle changes reduce HS progression.

 
Keywords: Hidradenitis suppurativa, Hurley staging, inflammatory skin disease, prevention, diagnostic delays
Bridging the Knowledge Gap on Iron Deficiency Anemia Among Nursing Students
Authors: Al-Hejaj Zahraa Mahmoud Hussain
Published: October 2024

Background: Iron deficiency anemia (IDA) is a prevalent nutritional disorder characterized by a significant reduction in the body’s iron stores, affecting oxygen transport and leading to various health complications. Specific Background: The understanding of IDA among nursing students is underdeveloped, especially regarding the differences between morning and evening study cohorts. Knowledge Gap: Understanding nursing students' knowledge of IDA is critical for enhancing educational strategies and improving patient care, yet limited studies have assessed this demographic's awareness of the condition and its management. Aims: This study aims to evaluate nursing students' knowledge about IDA and to compare the levels of knowledge between morning and evening students at the College of Nursing, University of Basrah, over a six-month period from November 2023 to March 2024. Results: A descriptive cross-sectional study was conducted involving 145 students (72 morning and 73 evening) who completed a questionnaire. Results indicated that 40.2% of morning students and 53.4% of evening students suffered from iron deficiency. While 86.1% of morning students had prior knowledge of IDA compared to 67.1% of evening students, the mean knowledge levels were deemed good for both groups, with no significant statistical difference between them. Novelty: This research contributes to the existing literature by highlighting knowledge levels of IDA among nursing students in Iraq, revealing that both morning and evening cohorts possess substantial understanding yet exhibit slight discrepancies. Implications: The findings underscore the necessity for targeted educational interventions to bridge the knowledge gap regarding IDA, ultimately enhancing nursing students' competencies in managing this condition in clinical settings.
Highlights:
 

IDA Prevalence: 40.2% morning students and 53.4% evening students affected.
Knowledge Difference: 86.1% morning vs. 67.1% evening students aware of IDA.
Educational Need: Targeted interventions required for improved IDA management in nursing education.

 
Keywords: Iron deficiency anemia, nursing students, knowledge assessment, educational interventions, Iraq
Flavonoids from Verbascum thapsus Protect Against Nephrotoxicity in Rats
Authors: Bukhibkh Hawraa Chasib
Published: October 2024

General Background: Nephrotoxicity induced by carbon tetrachloride (CCl4) poses significant health risks, prompting the exploration of natural antioxidants for renal protection. Specific Background: Verbascum thapsus, a plant known for its flavonoid content, has shown potential in mitigating oxidative stress, but its specific protective effects against CCl4-induced nephrotoxicity remain under-investigated. Knowledge Gap: While previous studies have indicated antioxidant properties of flavonoids, their efficacy in renal preservation in vivo has not been fully elucidated. Aims: The study evaluated the antioxidative and nephroprotective properties of flavonoids from Verbascum thapsus leaves in a rat model of CCl4-induced nephrotoxicity.Results: Rats were divided into three groups: control, CCl4-treated, and flavonoid plus CCl4-treated. Biochemical analyses revealed that CCl4 significantly elevated malondialdehyde (MDA), urea, creatinine, and uric acid levels while decreasing superoxide dismutase (SOD) and glutathione (GSH) levels. Notably, flavonoid administration markedly reduced MDA, urea, creatinine, and uric acid levels and enhanced SOD and GSH levels compared to the CCl4-only group. Novelty: This study uniquely highlights the protective role of flavonoids from Verbascum thapsus against nephrotoxicity, demonstrating both their antioxidative capacity and renal preservation in an experimental model. Implications: The findings support the potential use of Verbascum thapsus as a therapeutic agent in the management of kidney diseases, suggesting further investigation into its application in clinical settings to address nephrotoxicity and related renal disorders.
Highlights:
 

Nephroprotective: Flavonoids significantly protect against CCl4-induced kidney damage.
Biochemical Enhancement: Improved antioxidant levels; reduced harmful biochemical indicators.
Therapeutic Potential: Supports natural treatments for kidney diseases.

 
Keywords: Verbascum thapsus, flavonoids, nephrotoxicity, antioxidants, carbon tetrachloride
Classification of Rice Grains by Image Processing
Authors: Azeez Zainab Naser , Qasim Aseel.A. , Mohie Najlaa Muhammed
Published: October 2024

General Background: The assessment of the surface quality of pre-treated rice grains is crucial for determining their market acceptability, storage stability, processing quality, and overall consumer satisfaction. Traditional evaluation methods are often time-consuming and yield subjective classifications. Specific Background: The lack of a comprehensive tagged image dataset hinders the application of advanced convolutional neural networks (CNN) for detailed damage classification of healthy rice grains. Knowledge Gap: Existing datasets and methods limit the effective exploration of sophisticated CNN models for categorizing rice types, particularly in identifying subtle damage characteristics. Aims: The study aims to create a robust rice grain classification system using image processing techniques, primarily deep learning algorithms, to improve the classification of rice varieties. Results: Utilizing a dataset of 75,000 images across five widely cultivated rice varieties in Turkey, we achieved classification accuracies of 100% for CNN, 99.95% for deep neural networks (DNN), and 99.87% for artificial neural networks (ANN). Novelty: The proposed approach represents a significant advancement in rice classification technology, employing a combination of image acquisition, feature extraction, and machine learning to streamline the process, effectively addressing the challenges faced in traditional methods. Implications: The findings underscore the potential for improved sorting and grading efficiency in the rice industry, facilitating better market outcomes and consumer satisfaction through enhanced quality control
Highlights:
 

Innovative: Uses CNN for accurate rice variety classification.
Data-Driven: Analyzes 75,000 images for enhanced quality evaluation.
Impactful: Increases efficiency in sorting and grading processes.

 
Keywords: Rice Classification, Image Processing, CNN, Machine Learning, Agricultural Technology
The Effects of Crude Alkaloid Extracts of Convolutes Arvensis on Tumour Cell Lines and Their Potential For Toxicity
Authors: Hussein Arwa Alaa
Published: October 2024

General Background: Cancer remains a leading cause of mortality worldwide, and the search for effective treatments continues to intensify. Specific Background: Convolvulus arvensis has been traditionally used for medicinal purposes, but its potential as an anticancer agent is underexplored. Knowledge Gap: The cytotoxic and apoptotic mechanisms of crude alkaloids extracted from C. arvensis against specific cancer cell lines have not been fully characterized. Aims: This study investigates the antioxidant activity and cytotoxic effects of C. arvensis crude alkaloids on mouse liver cancer (HC) and human breast cancer (AMJ13) cell lines, focusing on apoptosis-related gene expression. Results: The antioxidant activity of C. arvensis was comparable to that of ascorbic acid, with inhibition rates of 92.01% at 500 µg/ml. Crude alkaloids demonstrated dose-dependent cytotoxicity, with a maximum inhibition rate of 82.65% in AMJ13 cells and 79.49% in HC cells at 500 µg/ml. Gene expression analysis revealed upregulation of caspase-9, indicating apoptosis via the intrinsic mitochondrial pathway. Novelty: This study is among the first to provide molecular evidence of C. arvensis-induced apoptosis through the intrinsic pathway, offering a novel insight into its anticancer potential. Implications: These findings suggest that C. arvensis alkaloids could be developed as a therapeutic option for cancer treatment, with future studies needed to isolate specific compounds and assess their in vivo efficacy.
Highlights:
 

C. arvensis alkaloids show antioxidant activity similar to ascorbic acid.
Alkaloids inhibit liver and breast cancer cell growth dose-dependently.
Apoptosis triggered via caspase-9 through the mitochondrial pathway.

 
Keywords: Convolvulus arvensis, alkaloids, cancer, apoptosis, antioxidant
Construction of News on the Impact of the Covid-19 Pandemic in Online Media Kompas.com and Republika.co.id
Authors: Al Ayyubi Habib , Abadi Totok Wahyu
Published: October 2024

This study aims to find out how the online media Kompas.com and Republika.co.id frame news about the impact of the Covid-19 pandemic. The research method used is descriptive qualitative. The theory used is the analysis of the framing model of Zhongdang Pan and Gerald M. Kosicki. This study examines 17 news titles in the Kompas.com media and 14 news titles in the Republika.co.id media for the period between 1 March - 30 April 2020. This study shows the results that related to the impact of Covid-19, both media contain the same theme. news about social and economic impacts, but the Republika.co.id media also includes education and transportation themes. The difference between the two media is that Kompas.com includes more quotes followed by paragraphs reaffirming the sources' quotes. Meanwhile, Republika.co.id has written quite a lot of journalists' descriptions by including quotes from sources that are considered to be corroborating. Media Kompas.com in choosing news titles is clearer so that readers can immediately catch the content of the news, in contrast to Republika.co.id which in choosing titles tends to make readers feel excited about the content of the news. Kompas, which is seen as neutral and republican, which is seen as the majority media, maintains neutrality in reporting the impact of Covid-19.
The Communication Network Pattern of the Tourism Merchant Association in Disseminating New Normal Information
Authors: Illahirobbi Wahyu , Rochmaniah Ainur
Published: October 2024

The new normal is a new policy implemented by the government in collaboration with the Pecalukan Tourism Trade Association to reduce the number of soaring COVID-19 cases. This ongoing transition towards a new normal is an implication of various policies and regulations during the COVID-19 emergency response period. The purpose of this study was to determine the pattern of communication networks formed in the association in disseminating information. This study uses descriptive quantitative research methods with communication network analysis techniques, while the sampling technique is the snowball sampling technique. Data collection techniques using questionnaires through interviews. The research is the first pattern of communication network structure that is formed by communication networks of all channels. The two roles of the communication structure are as follows: Click, Gate Keeper, Bridge, and Opinion Leader. The three communication networks were found by 4 clicks. There are 7 opinion leaders in the communication network who have an important role in influencing and increasing the participation of community members.
Implementation of the Cupping Health Program of KKN Muhammadiyah University of Sidoarjo as an Effort to Increase Public Health Awareness of Muhammadiyah Barengkrajan Branches
Authors: Nuzula Fera Firdausi , Fauziah Nafa Alif
Published: October 2024

Cupping therapy, a traditional alternative medicine practice, has garnered increasing interest as a holistic health approach. Despite its historical significance, there remains a lack of comprehensive awareness and understanding of its benefits within various communities. Previous studies have not adequately addressed the implementation and public perception of cupping therapy in local contexts, particularly among underserved populations. This study aims to evaluate the effectiveness of a cupping health program conducted by the Muhammadiyah Sidoarjo University KKN group in the Barengkrajan community, focusing on enhancing public awareness and accessibility to alternative health services. Through direct therapy sessions led by qualified professionals and educational initiatives, the program achieved high participant satisfaction rates and a notable increase in interest towards alternative therapies. This program uniquely combines practical cupping therapy with educational outreach, providing a model for similar community health interventions. The findings suggest that structured cupping programs can significantly improve community health perceptions and utilization of alternative therapies, warranting further exploration and development to integrate such practices into broader public health strategies.

Highlights:

High participant satisfaction demonstrated the effectiveness of direct therapy sessions.
Educational initiatives significantly increased community interest in alternative therapies.
The program serves as a model for integrating traditional practices into modern health strategies.

Keywords: cupping therapy, alternative medicine, public health, community awareness, health intervention
Increasing Tourist Attraction at Sumber Dhuwur, Wonosari Village, Ngoro District, Mojokerto Regency
Authors: Suprianto Suprianto , Amaliyah Fitrotul , Fitriyah Silva Nur Lailatul
Published: October 2024

Community service activities are one of the mandatory activities at Muhammadiyah University of Sidoarjo, where this service activity takes the form of the Enlightenment Real Work Lecture program. One of the work program areas that is the main focus is the tourism sector. The aim of this work program is to increase the number of tourist visits to Sumber Tourism. Service activities carried out at the Sumber Dhuwur tourist attraction, Wonosari Ngoro, Mojokerto. The method used in collecting data was observation, interviews and documentation which were analyzed using qualitative descriptive analysis. This service activity can provide exposure and increase awareness of Sumber Dhuwur tourism through Instagram social media.
Green Economy Innovation in Attracting Youth to Pond Fish Farming Profession
Authors: Zulkarnaen Have , Arisandra Martha Laila
Published: October 2024

The purpose of this study was to determine and analyze the effect of youth perceptions on interest in the fish farming profession mediated by green economy. The approach used in this research is a causal approach. The population in this study were village youth in Sungelebak, Sungegeneng Kec, Lamongan Kab. The sample in this study used simple random sampling with 100 respondents. The data collection technique in this study used a questionnaire technique. The data analysis technique in this study uses a quantitative approach using statistical analysis using the Auter Model Analysis test, Inner Model Analysis, and Hypothesis Test. Data processing in this study used the PLS (Partial Least Square) software program. The results of this study prove that directly youth perceptions and green economy have a significant effect on interest in the fish farming profession and indirectly green economy is able to mediate the effect of youth perceptions on interest in the fish farming profession.
Highlights: 

Significant Relationships: Youth perceptions and green economy significantly influence interest in fish farming.
Mediation Effect: Green economy acts as a mediator between youth perceptions and fish farming interest.
Methodology: Utilized a causal approach with 100 respondents from Sungelebak village through questionnaires and PLS software.

Keywords: Youth Perception, Green Economic, Interest in Fish Farming Profession
Innovative Quranic Teaching Methods Shape Moral Character in Students
Authors: Setiawan Eriko Viksiano , Eni Fariyatul Fahyuni
Published: October 2024

General Background: Quranic education plays a crucial role in shaping the religious character of students in Islamic educational institutions. Specific Background: However, the effectiveness of various teaching methods in facilitating student understanding and application of Quranic content remains underexplored. Knowledge Gap: Limited research has been conducted on the specific methodologies employed in Quranic teaching and their impact on character development within Islamic boarding schools. Aims: This study aims to analyze the Quranic education practices at Pondok Wali Barokah and their role in cultivating the religious character of students through effective teaching methods. Results: Employing a descriptive qualitative approach, data were collected through in-depth interviews, participatory observations, and document analysis. The findings indicate that the teaching methods, particularly Manqul and As-Sama’, significantly enhance students’ comprehension of the Quran and Hadith while fostering attitudes aligned with Islamic teachings. Novelty: This research contributes to the literature by highlighting the practical implications of specific Quranic teaching methodologies on character formation, demonstrating their efficacy in instilling discipline, respect, and moral values in students. Implications: The results suggest that the successful implementation of these methods can serve as a model for Islamic educational institutions seeking to improve character education and cultivate a generation of knowledgeable and morally upright individuals prepared to positively contribute to society.
Highlights:
 

Manqul and As-Sama’ enhance Quranic understanding and application.
Quranic education fosters respect, discipline, and moral values.
Qualitative research reveals significant impacts on students' character development.

 
Keywords: Quranic education, character development, teaching methods, Islamic boarding schools, qualitative research
Fostering Islamic Leadership Skills in Students Through Training Activities
Authors: Budiharjo El Fikry , Astutik Anita Puji
Published: October 2024

Background: Qualitative research focuses on naturalistic and phenomenological observations to explore complex issues. Specific Background: This study investigates the leadership development of high school students in the Basic Leadership Training (LDKS) program through direct observation. Knowledge Gap: Previous studies lack in-depth analysis of LDKS's specific processes and effectiveness in shaping students' leadership character. Aims: The research aims to uncover the effectiveness of LDKS by observing participant activities and interactions. Results: Findings indicate that LDKS enhances key leadership qualities such as communication, teamwork, decision-making, and responsibility through structured activities and peer learning. Novelty: This study employs thematic analysis of observational data to reveal nuances in leadership character formation within education. Implications: Results suggest LDKS effectively cultivates leadership skills, providing insights for educators and policymakers focused on character development in educational settings.
Highlights :
 

Direct Observation: Employs direct observation to capture real-time interactions and activities during LDKS.
Key Qualities: Focuses on developing essential leadership qualities such as communication and teamwork.
Educational Impact: Provides insights for educators on effective character development interventions.

Keywords: qualitative research, leadership development, Basic Leadership Training, student character formation, thematic analysis
Boosting Business Performance with Advanced Internal Audit Practices
Authors: Rаyimоvnа Egаmberdievа Sаlimа , Kizi Tulkinоvа Lаylо Anvar
Published: October 2024

Penelitian ini bertujuan untuk mengatasi tantangan dalam menciptakan dan meningkatkan sistem audit internal dalam badan usaha. Ini mengeksplorasi peran penting audit internal dalam meningkatkan efisiensi produksi dan mengatur sistem pengendalian internal yang efektif. Terlepas dari pentingnya audit internal, terdapat kesenjangan dalam memahami dampak komprehensifnya terhadap operasi perusahaan. Penelitian ini bertujuan untuk mengevaluasi dan meningkatkan sistem pengendalian internal dan kegiatan audit internal, mengusulkan perbaikan untuk kinerja perusahaan yang lebih baik. Dengan menggunakan penilaian kualitatif dan studi kasus, hasil penelitian ini menggarisbawahi perlunya fungsi audit internal yang kuat untuk menyederhanakan operasi dan meningkatkan efisiensi organisasi. Temuan ini menyiratkan bahwa peningkatan praktik audit internal dapat memberikan kontribusi signifikan terhadap keberhasilan dan produktivitas bisnis secara keseluruhan.
Highlight:

Peran Audit Internal: Kunci dalam meningkatkan efisiensi produksi dan operasi perusahaan.
Penilaian Sistem Pengendalian: Mengevaluasi sistem pengendalian internal pada badan usaha.
Proposal Perbaikan: Merekomendasikan peningkatan aktivitas audit internal dan kinerja perusahaan.

Kata Kunci:  Audit Internal, Sistem Pengendalian Internal, Efisiensi Bisnis, Operasi Perusahaan, Peningkatan Audit
Effective Leadership Achieves Organizational Goals in Indonesia
Authors: Shobakh Nur Izzatus , Mursyidah Lailul
Published: October 2024

This study examines the crucial role of leadership in achieving organizational goals at the Food and Agriculture Office of Sidoarjo Regency. Using a qualitative descriptive method, data were collected through observation, interviews, and documentation, and analyzed using the Interactive Data Model by Miles, Huberman, and Saldana. Findings show that effective leadership—particularly directive, participative, and supportive styles—significantly contributes to achieving organizational goals by providing direction, guidance, and support, involving subordinates in decision-making, and recognizing their performance. This research highlights the importance of appropriate leadership practices in enhancing organizational performance.
Highlight:

Leadership styles boost organizational performance: directive, participative, supportive.
Data collected through observation, interviews, documentation; analyzed interactively.
Leaders guide, support, involve in decisions, recognize performance.

 
Keywoard: Leadership, Organizational Goals, Qualitative Research, Sidoarjo Regency, Food and Agriculture Office
Fashion Drives Impulsive Buying in Indonesia
Authors: Pramana Sugianto Eko , Indayani Lilik , Febriansyah Rizky Eka
Published: October 2024

This research explores how Fashion Involvement and Shopping Lifestyle influence Impulsive Buying at the Eiger Store in Sidoarjo. Using a quantitative survey method, data were collected from 100 respondents via Google Forms and analyzed with SPSS. Results indicate that both Fashion Involvement and Shopping Lifestyle significantly and positively impact Impulsive Buying, with Fashion Involvement having a stronger influence. Key findings suggest that Eiger Store should enhance online sales and update sales strategies for new fashion models to attract more customers. These insights can guide targeted marketing strategies to increase impulsive buying behavior.
 
Highlight: 

Fashion Involvement strongly influences impulsive buying.
Enhance online sales for busy Sidoarjo residents.
Update strategies for new fashion models to attract customers.

 

 
Keyword: Impulsive Buying, Fashion Involvement, Shopping Lifestyle, Consumer Behavior, Eiger Store
Online Reviews Significantly Drive TikTok Purchases in Indonesia
Authors: Jamilah Siti , Kusuma Kumara Adji
Published: October 2024

This study examines the influence of content marketing, brand image, and online consumer reviews on purchasing decisions on TikTok Shop. Using a quantitative approach with 96 respondents from Sidoarjo, data were collected via a structured questionnaire and analyzed using multiple linear regression. Results indicate that all three factors positively impact purchasing decisions, with online consumer reviews being the most significant. These findings suggest that enhancing content marketing, building a strong brand image, and encouraging positive reviews are crucial for driving consumer purchases on TikTok Shop.
 
Highlight: 

Significant Impact: All variables influence TikTok Shop purchases.
Dominant Factor: Online reviews most affect purchasing decisions.
Quantitative Study: Analysis of 96 respondents from Sidoarjo.

 
 
Keyword:  Content Marketing, Brand Image, Online Reviews, TikTok Shop, Consumer Behavior
Enhancing Sales through Marketing Strategy and Customer Satisfaction in Culinary MSMEs
Authors: Arista Sintha Wahyu , Fitriyah Hadiah
Published: October 2024

This quantitative study investigates the impact of marketing strategy and consumer satisfaction on sales growth in Micro, Small, and Medium Enterprises (MSMEs) within the culinary sector of Krembung District, Sidoarjo Regency. Data collected from 100 MSME owners via questionnaire surveys using Google Forms reveals significant positive effects of both marketing strategy (Tcount = 3.568, p = 0.001) and consumer satisfaction (Tcount = 2.325, p = 0.022) on increasing sales. The findings highlight the critical role of strategic marketing planning and customer satisfaction in enhancing business performance and competitiveness, underscoring the need for MSMEs to prioritize these factors to achieve sustainable growth and profitability in competitive markets.
Highlight:

Quantitative study on marketing impact in culinary MSMEs.
Significant influence of customer satisfaction on sales growth.
Practical implications for enhancing business strategies in MSMEs.

Keywords: Sales enhancement, marketing strategy, customer satisfaction, MSMEs, culinary sector
Competence, Reporting, and Accessibility in Village Financial Management Accountability
Authors: Ningrum Ravika Sevtia , Nurasik Nurasik
Published: October 2024

Accountability in village financial management is vital for promoting transparency and good governance at the local level. Despite its importance, there is limited understanding of how the competence of village officials, the presentation of financial reports, and the accessibility of these reports contribute to achieving financial accountability. This study addresses this knowledge gap by exploring the relationship between these factors and the accountability of village fund management in Krembung District, Sidoarjo Regency. Utilizing a quantitative approach, primary data were gathered through questionnaires from a purposive sample of 57 respondents across 19 villages. The data were analyzed using multiple linear regression with SPSS version 23. The findings indicate that the competence of village officials, the presentation of village financial reports, and their accessibility all have a positive and significant effect on the accountability of village financial management. The novelty of this research lies in its combined analysis of these three factors within a village context, providing comprehensive insights into enhancing financial accountability. Implications suggest that improving the skillset of village officials and financial reporting practices is essential to fostering better financial accountability at the village level.
Highlights:

Positive Effect: Competency, report presentation, and accessibility boost financial accountability.
Quantitative Analysis: Study used questionnaires and multiple linear regression.
Key Insight: Improving officials' skills and reporting practices enhances accountability.

Keywords: Accountability, Village Financial Management, Competency, Financial Report Presentation, Accessibility
Environmental Cost Disclosure and Financial Performance of Oil and Gas Firms
Authors: Sunday Fred Itotaziba , Chimezie Nwosu Eleazar
Published: October 2024

General Background: The relationship between environmental cost disclosure and financial performance is essential in environmentally impactful sectors like oil and gas. Specific Background: This study focuses on listed oil and gas firms in Nigeria, examining health and safety costs and waste management costs as predictors of return on assets (ROA). Knowledge Gap: Existing research shows inconsistent findings on the effects of environmental disclosures on financial performance, necessitating further investigation. Aims: This study aims to clarify the impact of environmental cost disclosures on financial performance, particularly through health and safety and waste management costs. Results: Using ex-post-facto research design and secondary data analysis, the findings reveal a significant positive relationship between environmental cost disclosures and financial performance, highlighting the importance of these costs on ROA. Novelty: By applying legitimacy theory and focusing on specific environmental costs, this research fills a gap in Nigerian literature. Implications: The study recommends enhanced environmental policies for oil and gas firms, promoting accountability and aligning financial performance with ecological responsibilities.
Highlights:

Significant positive relationship exists between environmental cost disclosures and financial performance (ROA) in Nigerian oil and gas firms.
Health and safety costs and waste management costs are critical predictors of financial performance.
The study emphasizes the need for enhanced environmental policies and corporate accountability in the oil and gas sector.

 
Keywords: Health, Safety Cost, Waste Management Cost, ROA
Next Generation Welfare System and E-Government in Banjarbendo Village
Authors: Choiriyah Ilmi Usrotin , Darmawan Achmad Firnanda
Published: October 2024

Background: The effectiveness of social welfare information systems, especially the Next Generation Social Welfare Information System (SIKS-NG), is vital for local e-government initiatives. Specific Background: This study examines SIKS-NG's implementation in Banjarbendo Village, Sidoarjo, East Java, to evaluate its impact on service delivery. Knowledge Gap: Prior research highlights inconsistent effectiveness and issues related to resource adequacy and data accuracy in rural contexts. Aims: This research aims to assess SIKS-NG's effectiveness through qualitative analysis, focusing on indicators of goal achievement, integration, and adaptation. Results: The study finds that SIKS-NG operates effectively due to competent operators and sufficient infrastructure, though data inconsistencies pose challenges. Novelty: This research offers new insights into the successes and challenges of implementing SIKS-NG in a rural Indonesian setting. Implications: The findings emphasize the importance of ongoing training and infrastructure improvements to resolve data discrepancies, thereby enhancing the effectiveness of e-government in social welfare management.
Highlights :
 

Human Resource Competence: The effectiveness of SIKS-NG relies heavily on the training and skills of operators in information technology.
Infrastructure Support: Adequate facilities, such as computers and internet access, are essential for smooth implementation.
Data Accuracy Issues: Discrepancies between submitted and application data hinder overall program effectiveness.

Keywords: SIKS-NG, e-government, social welfare, effectiveness, rural development
O uso de sistemas de inteligência artificial para a personalização da experiência do paciente: a percepção de gestores de tecnologia e inovação de hospitais associados à ANAHP
Authors: Borba Felipe Augusto , Ogata Alberto José
Published: October 2024

O presente trabalho explora a percepção de gestores das áreas de Tecnologia e Inovação de hospitais privados brasileiros acerca do uso da inteligência artificial (IA) na saúde, com foco es­pecífico na personalização da experiência do paciente nesses hospitais. Métodos: Este trabalho se caracteriza como uma pesquisa descritiva transversal quantitativa. Foi desenvolvido um questioná­rio com 14 questões que foi distribuído a uma amostra de gestores de tecnologia e inovação em hospitais, com o apoio da Associação Nacional de Hospitais Privados (ANAHP). O questionário foi disponibilizado em versão online à base de 122 hospitais associados à ANAHP. Resultados: Foram obtidas 30 respostas completas (aproximadamente 25% da base total), conquistando percepções sobre as vantagens, desvantagens e desafios éticos e técnicos relacionados ao emprego da IA na área clínica, particularmente em ambientes hospitalares. As respostas coletadas ratificaram o oti­mismo e a reserva dos profissionais de tecnologia e inovação em hospitais privados quanto ao po­der e aos impactos da IA na personalização da experiência do paciente, bem como indicaram a necessidade de treinamento adequado para os funcionários desses hospitais, a fim de maximizar os benefícios da IA como ferramenta de apoio à tomada de decisão. Conclusões: Este trabalho é uma fonte de consulta para instituições de saúde que considerem utilizar a IA na personalização da experiência do paciente e queiram estabelecer treinamentos de pessoal baseados nesses princípios. Desse modo, os resultados aqui obtidos oferecem orientações valiosas para a adoção plena de IA no setor de saúde.
Refining the Diagnosis and Treatment of Cubital Tunnel Syndrome: A Comprehensive Review of Anatomy and Surgical Approaches
Authors: Chung Suhmi , Kim Inkyeong , Kim Choonghyo
Published: October 2024

Cubital tunnel syndrome (CuTS) is a prevalent but often under-recognized compressive neuropathy of the upper extremities, involving the entrapment of the ulnar nerve within the cubital tunnel at the elbow. CuTS is common, but remains relatively unfamiliar to many neurosurgeons compared to other neuropathies. It frequently presents with sensory disturbances and motor deficits in the hand, particularly affecting the ulnar digits, and it may be linked to specific usage patterns or even considered a form of neurotrauma. Its diagnosis typically involves a clinical assessment supplemented by imaging and electrophysiological studies to evaluate the extent of nerve involvement. While conservative management may be sufficient in the early stages, surgical intervention is often necessary for advanced cases, and various techniques offer differing outcomes. This review underscores the importance of a thorough anatomical understanding in guiding an accurate diagnosis and effective treatment, ultimately contributing to improved patient outcomes. These insights are essential for clinicians encountering the complexities of CuTS in diverse clinical scenarios.
Physics Inspired Machine Learning for Reliable Production Forecast in Unconventional Reservoirs
Authors: Zhou Hui , Montilla Lucybel , Rincones M. D. , Orogbemi Kunle
Published: October 2024

Reliable production forecasting in unconventional reservoirs requires consideration of the underlying physics that govern subsurface flow dynamics. For unconventional shale reservoirs, the identification of flow regimes, including linear and boundary-dominated flow, provides important insights for production forecasts. Traditional rate transient analysis methods, however, often rely on manual processes, introducing a degree of subjectivity and potential bias into the results. We introduce an innovative machine learning-driven approach, rooted in the fundamental physics of flow within hydraulically fractured tight reservoirs. This approach enhances efficiency, flexibility, and automation through machine learning. It also boosts the reliability and insights in production forecasts by leveraging a robust physics-based foundation.

Our workflow is constructed upon analytical solutions for multi-stage fractured shale reservoirs, assuming uniform bi-wing planar fractures and reservoir homogeneity. This simplification represents an asymptotic solution to unconventional wells and aligns with characteristic plots of field production. The first component of the workflow is to automatically analyze production data and generate characteristic attributes for linear flow and boundary-dominated flow. Following this, we employ a Markov chain Monte Carlo process that integrates actual production data with flow regime analysis, resulting in probabilistic multi-segment decline models for production forecasting with uncertainty ranges and confidence estimation. Building on these characteristics and production forecasts derived from existing producing wells, we develop a two-step machine learning model to predict future planned wells.

Field applications in both the Permian Basin and Eagle Ford have demonstrated the efficiency and reliability of our proposed workflow. Operating in a fully autonomous mode, our methodology delivers results that closely align with detailed engineering forecasts for assets at various stages of development. In a fully autonomous mode, our results closely match detailed engineering forecasts when using limited data for validation testing. Additionally, the workflow is designed to be adaptable and flexible, corresponding to data quality and availability as well as the practical business needs. This innovative workflow underscores the powerful synergy between machine learning and fundamental physics in delivering efficient, reliable, and insightful solutions for engineering tasks.
WITHDRAWN: Diversity and abundance of Butterflies in protected and unprotected habitation in Lagos, Nigeria
Authors: Kehinde Kemabonta , Oluwatobi Omoloye , Femi Adesina , Emmanuel Ugbodaga , Ojonugwa Ekpah , Joseph Anikwe , Azeezat Alafia
Published: October 2024

The full text of this preprint has been withdrawn by the authors as it was submitted and made public without the full consent of all the authors. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
Dietary intake, Nutritional status, and Health outcomes among Vegan, Vegetarian, and Omnivore families: Results from the Observational Study
Authors: Gojda Jan , Henikova Marina , Ouradova Anna , Selinger Eliška , Tichánek Filip , Polakovičová Petra , Hrnčířová Dana , Dlouhý Pavel , Světnička Martin , El-Lababidi Eva , Potočková Jana , Kuhn Tilman , Cahová Monika
Published: October 2024

Plant-based diets are growing in popularity because of their perceived environmental and health benefits. However, they may be associated with safety risks, that may cluster within families. Here, we conducted a cross-sectional study of 95 families (47 vegan [VN], 23 vegetarian [VG], and 25 omnivore [OM]), including 187 adults, 65 children >3 years, and 77 children <3 years old. Growth, cardiovascular health, bone turnover, iodine, and vitamin/micronutrient status were specifically assessed. We found no significant differences in children’s growth characteristics in children between the dietary groups. Better cardiometabolic indices in VN (LDL and total cholesterol) were found as early as in children >3 years of age. In addition, OM had a higher BMI, diastolic blood pressure, and lower fat-free mass in adults. Higher bone turnover (P1NP) was found in older children and adult VN, where it was related to higher PTH levels. Paradoxically, vitamin D levels were generally higher in VN. Lower urinary iodine, associated with lower intake in VN was found across all age strata, with no effect on TSH. Mixed models suggested that namely height, micronutrient status (Se, Zn, and urinary iodine), and vitamin levels (folate, B12, and D) are clustered within families. Our results show that dietary habits significantly impact on nutritional biomarkers, with family influence playing an important role. Although no serious adverse effects of the diet were found, iodine status and bone health in vegans warrant further research.
Potassium-stabilized metastable carbides and chalcogenides via surface chemical potential modulation
Authors: Zhang Bin , Chen Fanpeng , Cheng Chuanqi , Wang Jiajun , Han Yanran , Zhao Bo-Hang
Published: October 2024

Metastable carbides and chalcogenides are attractive candidates for wide and promising applications. However, their inherent instability leads to synthetic difficulty and poor durability. Thus, the development of facile strategies for the controllable synthesis and stabilization of metastable carbides is still a great challenge. Here, taking metastable ɛ-Fe2C as a case study, potassium ions (K+) are theoretically predicted and experimentally reported to control the synthesis of metastable ɛ-Fe2C from an Fe2N precursor by increasing the surface carbon chemical potential (μC). A series of operando characterizations and calculations reveal that the controllable synthesis and improved stability are attributed to the better-matched denitriding and carburizing rates and the impeded spillover of carbon atoms in metastable ɛ-Fe2C with high carbon contents due to the enhanced surface μC. In addition, this K+-induced surface chemical potential modulation strategy can be used to synthesize metastable γ’-MoC, MoN, 1T-MoS2, 1T-MoSe2, 1T-MoSe2xTe2(1-x), and 1T-Mo1-xWxSe2, highlighting the universality of the methodology. Impressively, gram-level scalable metastable ɛ-Fe2C remains stable for more than 398 days in air. Furthermore, ɛ-Fe2C exhibits remarkable olefin selectivity and durability for more than 36 h of continuous testing. This work not only reports a facile, easily scalable and general strategy for accessing various metastable carbides and chalcogenides but also addresses the synthetic difficulty and poor durability challenge of metastable materials.
Chronic ketosis provides neuroprotection through HIF-1α-mediated control of the TXNIP/NLRP3 axis by regulating the inflammatory and apoptotic response
Authors: Parveen Kehkashan , Salman Mohd , PharmD Golnoush Mirzahosseini , Parveen Arshi , Ishrat Tauheed , Puchowicz Michelle A.
Published: October 2024

We and others have previously demonstrated that hypoxia-inducible factor alpha (HIF-1α) stabilization through diet-induced ketosis plays a vital role during brain ischemic injury. We have recently reported that ketosis-stabilized HIF-1α regulates the inflammatory response and contributes to neuroprotection in a rat stroke model. In the current investigation, we examined the downstream mechanism by which the ketogenic (KG) diet protects against brain damage after stroke in mice. Six-seven-week-old male mice were fed the standard diet (SD) or the KG diet to mimic the metabolic state of chronic ketosis. After four weeks, mice were subjected to photothrombotic ischemic stroke. Behavior analysis was recorded at 24 h, 48h, and 72h post-stroke. After 72h, mice were euthanized for infarction, brain edema, hemorrhage, and molecular analysis. Our results showed that the KG diet significantly alleviated infarction, brain edema, and hemorrhage, improved the neurobehavioral outcomes, and attenuated ischemic stroke-induced oxidative/nitrative stress and apoptotic markers at 72h post-stroke. Further, the KG diet upregulated the HIF-1α and interleukin (IL)-10 expression and inhibited thioredoxin-interacting protein (TXNIP), NOD-like receptor family pyrin domain-containing 3 (NLRP3) inflammasome activation and pro-inflammatory cytokines expression compared to SD-fed mice after stroke. We further showed that the genetic deletion of NLRP3 mediates KG-induced neuroprotection after stroke. Our current study demonstrates that the KG diet exerts neuroprotective effects by inhibiting TXNIP-NLRP3 inflammasome, mainly dependent on heightening the upregulation of IL-10 via HIF-1α stabilization. Thus, the KG diet might be considered a new therapeutic strategy for ischemic patients.
Analysis of MEP parameters in patients with post stroke spasticity in relation with rTMS therapy
Authors: lahre Yuvraj , Bhoi Sanjeev , Jha Menka , Samal Priyanka , Naik Suprava
Published: October 2024

BACKGORUND: Spasticity is a common complication of stroke limiting patient’s daily activities. Management of spasticity in chronic stroke patients may be necessary to improve their quality of life. Transcranial magnetic stimulation is a painless and non-invasive method that can potentially reduce post-stroke spasticity. In this study we evaluated the effectiveness of 3 sessions of low Hz rTMS therapy by analysing the changes in MEP parameters.
METHODS: Patients with upper limb spasticity after stroke of 3 months duration were randomised into active and sham groups. In the active group three sessions of 1000 pulses, 1 Hz rTMS at an intensity of 90% of resting motor threshold were applied to the primary motor area of the contra-lesional hemisphere over three consecutive days. Sham rTMS intensity was 0% but with a similar sound and scalp sensation. MEP was measured pre and post therapy in each group.
RESULTS: 106 patients were screened of which 50 patients were selected. 25 patients allotted to active group and 25 to sham group. Mean amplitude of MEP on stimulation of normal side was 1.98±1.70 mV before versus 1.53±1.16 mV after therapy showing significant reduction p=0.001 (95% CI-.135 - -.630). Similarly, there was significant increase in latency after therapy [22.92±2.25 ms vs 24.26±2.62 ms, p=0.001 (95% CI-2.0 - -.96)]. There was no significant change in amplitude (1.05±.69 mV vs 1.17±1.01 mV) or latency (23.66±2.45 ms vs 24.05±2.58 ms) after therapy in sham group.
CONCLUSION: MEP parameters revealed even three sessions of therapy can be helpful in supressing normal hemisphere. We found reduction in amplitude and increase in latency of MEP after low Hz rTMS therapy in contra-lesional hemisphere suggesting its suppression after therapy. Spasticity across each joint reduced after the therapy in active group.