bluuebunny/crossref_metadata_2025 huggingface dataset:
Reproductive settings of the population and factors affecting them
Authors:   Pavlov First St. Petersburg State Medical University, Petrova Nataliya , Zimina Victoria ,   Pavlov First St. Petersburg State Medical University
Published: September 2024

Demographic problems, including the low birth rate, are among the most acute problems in Russia. The solution of demographic problems requires an integrated approach and it is based (among other things) on the study of the reproductive attitudes of various groups of the population. The aim is to study the opinion of the population about the problem of fertility and attitude to family values. An anonymous survey was conducted using a Google form (352 citizens of the Russian Federation). The sample was random. The average age of the respondents was 38.6 years. The questionnaires were processed using the applied statistical programs Excel and Statistica 10. The study showed that the presence of children in the family was considered necessary by only 68.4 % of the respondents. 45.3 % would like to have two children; 30.6 % — three or more; 17.5 % — one child; 6.6% of respondents do not want to have them at all. The main motives and prerequisites for the birth of a child were: the joy of motherhood; the importance of material support from the state; and procreation; the main obstacles to having a child were the lack of confidence in a stable material income, the unstable situation in the country, the fear of losing a job or destroying a career, the lack of confidence in getting a decent education for all children and further employment, poor housing conditions, and the lack of a permanent partner. The share of those supporting the idea of child-free was 24.9 %; 41.8 % accept same-sex marriages. Thus, both the importance of measures of social and material support for motherhood and childhood and the relevance of the problem of family and moral education of the population have been confirmed.
A CNN-BILSTM monthly rainfall prediction model based on SCSSA optimization
Authors: Zhang Xianqi , Yang Yang , Liu Jiawen , Zhang Yuehan , Zheng Yupeng
Published: September 2024

Meteorological conditions play an important role in China's national production, and the accurate prediction of precipitation is of great significance for social production, flood prevention, and the protection of people's lives and property. A coupled model for monthly rainfall prediction is constructed based on the convolutional neural network (CNN) and the bi-directional long- and short-term memory network (BILSTM) combined with a sparrow optimization algorithm incorporating positive cosine and Cauchy variants (SCSSA). The model combines the SCSSA optimization algorithm with the CNN-BILSTM model, capturing data features in data space as well as temporal dependencies through CNN-BILSTM to predict the relationship. Additionally, the model combines SCSSA's excellent global search capability and convergence speed to further improve the accuracy of model prediction. Based on the measured monthly rainfall data of Xi'an City from 1996 to 2020, the SCSSA-CNN-BILSTM model was compared with the SSA-CNN-BILSTM, SCSSA-BILSTM, and CNN-BILSTM models. The results show that all the evaluation indicators of the SCSSA-CNN-BILSTM model are optimal and the prediction accuracy is the highest. This shows that the proposed SCSSA-CNN-BILSTM model has high accuracy in monthly rainfall prediction and provides a new method for hydrological rainfall model predictions.
TESMIN is a Prognostic Biomarker Associated with Immunosuppression and Activated Cell Cycle in Lung Adenocarcinoma
Authors: Yao Zhiyuan , Song Peng , Dong Yanting , Wu Zhe , Kong Weimao , Jiao Wenjie
Published: September 2024

Background:

The Testis Expressed Metallothionein Like Protein (TESMIN)
gene encodes highly conserved, cysteine-rich, low-molecular proteins that are activated
by and have an affinity for heavy metal ions. Previous literature has shown its association
with cancer. Nevertheless, no thorough bioinformatics analysis of TESMIN has
been done yet in lung adenocarcinoma (LUAD).

Methods:

Differential expression of TESMIN between cancer and normal tissues was
confirmed by analyzing databases and immunohistochemistry staining. Enrichment analysis
was adopted to explore biological functions. The relationship of TESMIN with immune
infiltration was evaluated by ssGSVA, with immunotherapy response predicted by
TCIA and TIDE tools, with mutational traits analyzed by R software. Drug sensitivity
analysis was implemented via GSCA tool, pRRophetic algorithms, and CellMiner
database.

Results:

The results demonstrated that TESMIN expression was upregulated in tumor tissue
and related to Ki67. TESMIN was associated with poor survival and significantly related
to age, gender, N stage, M stage, pathological stage, and survival status. TESMIN-
related genes (TRGs) were primarily involved in cell division and cancer-related
enrichment pathways. TESMIN was associated with high frequencies of somatic mutations
and an immunosuppressive tumor microenvironment. Interestingly, patients with elevated
levels of TESMIN expression benefited more from commonly used chemotherapy
drugs such as cisplatin, paclitaxel, vinorelbine, and docetaxel, whereas those with
low levels of TESMIN expression showed favorable clinical responses to immunotherapy.

Conclusion:

As a prognostic biomarker associated with the cell cycle and immune infiltration,
TESMIN may serve as an effective target for predicting the sensitivity to immunotherapy
and chemotherapy.
Zuogui Pills Improve the Learning and Memory Ability of Brain-Aging Mice through the Estrogen Receptor ERα Methylation Pathway
Authors: Huang Yang , Zhong Lili , Yang Jing , Dai Qiaomei , Zhao Li , Zhang Mengdi , Liu Hong
Published: September 2024

Introduction:

Sex hormones are important factors in maintaining brain function and
acting as brain protectors. Recent research suggests that neuronal damage in brain aging may be
linked to the methylation of the estrogen receptor α (ERα). However, the mechanism of Zuogui
Pills (ZGW) in brain-aging ERα DNA methylation and neuronal repair remains unknown.

Materials and Methods:

D-galactose-induced ovary removal mice were used as a model of aging.
Changes in estrous cycle were detected in mice by vaginal cell smear. Animal behavior
tests, including the Morris water maze (MWM) and new object recognition (NOR) test, were
conducted. Hematoxylin-eosin (HE) and Nissl-staining were carried out to assess hippocampal
neurogenesis. Enzyme-linked immunosorbent assay (ELISA) was performed for 5-
methylcytosine methylation levels, and immunohistochemistry (IHC) and western blotting (WB)
experiments were performed to assess ERα/DNA methyltransferase 1 (DNMT1) expression after
ZGW treatment. Finally, bisulfite sequencing PCR (BSP) analysis was performed to identify
methylated differentially expressed estrogen receptor 1 (ESR1) gene in D-gal-induced senescent
neurons before and after ZGW treatment.

Results:

We found that ERα methylation was involved in the delayed brain ageing process of
ZGW. Mechanistically, ZGW can improve the learning and memory ability of brain-aging mice,
reduce the expression of 5-methylcytosine (5-mc) in serum, increase the amount of ERα, inhibit
the expression of DNMT1, and significantly reduce methylated expression of the ESRI gene.

Conclusion:

Our data suggested that ZGW slowed down D-gal-induced brain aging in mice, and
these results showed that ZGW is beneficial for aging. It may be used for neuronal protection in
aging.
Use of Herbal Drugs in Cardiovascular Disease- A Review
Authors: Kaur Arshdeep , Kumar Ranjeet
Published: September 2024

Thirty percent of deaths worldwide are caused by cardiovascular disorders (CVDs).
As per the WHO data, the number of fatalities due to CVDs is 17.9 million years, and it is projected
to cause 22.2 million deaths by 2030. In terms of gender, women die from CVD at a rate
of 51% compared to 42% for males. Most people use phytochemicals, a type of traditional medicine
derived from plants, either in addition to or instead of commercially available medications
to treat and prevent CVD. Phytochemicals are useful in lowering cardiovascular risks, especially
for lowering blood cholesterol, lowering obesity-related factors, controlling blood sugar and the
consequences of type 2 diabetes, controlling oxidative stress factors and inflammation, and preventing
platelet aggregation. Medicinal plants that are widely known for treating CVD include
ginseng, Ginkgo biloba, ganoderma lucidum, gynostemma pentaphyllum, viridis amaranthus,
etc. Plant sterol, flavonoids, polyphenols, sulphur compound and terpenoid are the active phytochemicals
present in these plants. The aim of this article is to cover more and more drugs that
are used for cardiovascular diseases. In this article, we will learn about the use of different herbal
drugs, mechanism of action, phytochemical compounds, side effects, etc. However, more research
is required to comprehend the process and particular phytochemicals found in plants that
treat CVD.
Latent Fingermarks Analysis by Imaging Mass Spectrometry
Authors: González Marina , Araujo dos Santos Nayara , Medeiros de Almeida Camila , Ortiz Rafael Scorsatto , Limberger Renata Pereira , Romão Wanderson , de Cássia Mariotti Kristiane , Mendez Andreas Sebastian Loureiro
Published: September 2024

Background:

Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging
(MALDI-MSI) technique has been reported in the literature for fingermark analysis and forensic
purposes. One of the greatest challenges in this field involves the aging of fingermarks, which has an
essential role in criminal investigation.

Objective:

This study presents an approach to preservation fingermarks analysis through the MALDI-
Fourier transform ion cyclotron resonance mass spectrometry method, comparing different matrix
samples.

Methods:

For MALDI analysis, the efficiency of three MALDI matrices (α-cyano-4-
hydroxycinnamic acid (CHCA), 2-mercaptobenzothiazole (MBT), and 2,5-dihydroxybenzoic acid
(DHB)) in the ionization process of monitored analytes (m/z 368.4, m/z 522.6 and m/z 550.6) was
initially evaluated, along with the spatial resolution (80 × 80 μm and 100 × 100 μm).

Results:

The CHCA matrix, and the resolution of 100 × 100 μm were chosen for the MALDI MSI
analysis. The fingermark collections were analyzed at eight intervals from zero hours to fifty days.
Additionally, photochemical aging (from zero hours to five days) of fingermarks, performed by applying
constant light for five days to three different samples from the same donor, resulted in loss of
chemical material and deformation of the image obtained by MALDI FT-ICR MSI analysis. On the
other hand, in natural aging, the most expressive result showed that it is possible to visualize fingermark
ridges of up to fifty days elapsed.

Conclusion:

The method proposed showed a potential for fingermark examination and application in
forensic routine. Chemical imaging of fingermarks can be a useful tool in detecting and comparing
evidence, even after a considerable period.
Clinical Evaluation of Obenyl Tablet in the management of Obesity
Authors: Dnyaneshwar Mote  , Lata Kide
Published: September 2024

Obesity, defined as abnormal or excessive fat accumulation, which may impair health, is measured by body mass index (BMI) ≥ 30 kg/m2. In the Asian population, the BMI cut-off of obesity is lower (≥27.5 kg/m2).[1] Prevalence rate of Obesity across the globe is alarmingly increasing, irrespective of geographical areas, race, sex and age. Obesity is associated with increased risk of morbidities such as systematic inflammation, insulin resistance, and lipid abnormalities, leading to various non-communicable diseases, including cerebrovascular and cardiovascular diseases and cancer.[2] To overcome such major concern and address this issue with safer and herbal solution Charak Pharma Pvt. Ltd’s, Obenyl Tablet was taken for this Clinical Evaluation study. The study was done on 113 patients with BMI in between 28 to 40. The study is open labelled controlled single arm study. Participants were given Obenyl tablet and allowed to consume regular diet. The study shows Excellent - 20.51% (15 patients), Good - 38.93% (30 patients), Fair - 28.31% (22 patients), Failure - 12.82% (10 patients). Study shows Mean Weight Loss of 3.33Kg at the end of the study. The present study showed the therapeutic results on Completion of 120th Day in comparison to 0 Day, as Obenyl Tablet has showed 87.18% good results.
PENGARUH PERTUMBUHAN EKONOMI, PENDIDIKAN DAN PENGANGGURAN TERHADAP KEMISKINAN
Authors: Panggabean Krisfive Yanti , Marlina Ekawaty
Published: September 2024

Poverty is a global problem that is difficult to solve because of its very complex and multidimensional phenomena, not least in North Sumatra. That's why eradicating poverty is the first of the 17 Sustainable Development Goals (SDGs). This study aims to determine the influence of economic growth, education, unemployment and the Covid-19 pandemic on poverty in the district/city of North Sumatra in the period 2017-2022. The data type used is secondary data in the form of panel data covering 33 Districts/Cities of North Sumatra Province from 2017- 2022. The data analysis method used is panel data regression analysis with dummy variables assisted by e-Views10 software. The results of the study showed that economic growth and the Covid-19 pandemic had no significant effect, while education had a negative and significant effect, and unemployment had a positive and significant effect on the poverty level in the district/city of North Sumatra in 2017-2022. The poverty rate in North Sumatra has consistently decreased from year to year. The potential of education and open unemployment must be put to good use by the government in order to achieve low poverty levels in the 33 districts/cities of North Sumatra.
A comunicação não violenta como plano de fundo das formas de intervenção nos conflitos familiares na perspetiva sistêmica
Authors: Silva Kelly Coelho , Francischetto Gilsilene , Cruz Rossana Martingo
Published: September 2024

Com o objetivo de analisar a aplicabilidade da Comunicação Não Violenta (CNV) como ferramenta para a promoção da pacificação das partes envolvidas em conflitos familiares, este artigo valeu-se de pesquisa teórico-bibliográfica, utilizando uma abordagem compreensiva do conflito a partir de uma visão sistêmica. A elevada litigiosidade vivenciada hodiernamente, bem como a aparente incapacidade do judiciário em promover a paz social denotam que o litígio precisa de uma atenção especial e sistêmica, que não negligencie sua complexidade, subjetividade e instabilidade. Como resultado, verificou-se que a CNV não se revela uma ferramenta, tampouco uma técnica, mas sim a base da mediação enquanto forma de intervenção no conflito familiar.
Sanitation and hygiene practices of culinary entrepreneurs in tourist villages during the new normal era
Authors: Mumpuni Rani Timur , Chayati Ichda
Published: September 2024

This study investigates the implementation of hygiene and sanitation practices by culinary entrepreneurs in Mulo Tourism Village, focusing on food, equipment, personal, and environmental hygiene. It also explores tourist perceptions of these practices. Utilizing a mixed-methods approach with a case study design, data were gathered through observation, interviews, documentation, and questionnaires. The study involved Mulo Tourism Village managers, culinary entrepreneurs, and 100 tourists or consumers sampled from a population covering 2020 to 2022. The findings reveal that while food hygiene practices are generally well-implemented, some standards are not met, such as leaving food uncovered. Equipment hygiene is compromised due to the use of damaged tools, and personal hygiene is insufficient as some entrepreneurs neglect mask-wearing and proper attire. Environmental hygiene meets standards given the available facilities. Notably, 55% of respondents rate the overall hygiene and sanitation practices as moderate. These findings highlight areas needing improvement to enhance food safety and tourist satisfaction in Mulo Tourism Village.
Culinary economic and social impacts of mega-sporting events: A comprehensive literature review
Authors: Septiyanto Ari
Published: September 2024

This comprehensive literature review examines the culinary economic and social impacts of mega-sporting events, focusing on their multifaceted effects on host cities and communities. Mega-sporting events such as the Olympic Games and FIFA World Cup can drive significant economic growth through increased tourism, job creation, and local business stimulation, particularly within the culinary sector. The influx of visitors during these events boosts demand for food services, leading to higher revenues and expanded offerings by local culinary businesses. Furthermore, these events foster community engagement, cultural exchange, and public health promotion by showcasing local culinary traditions and promoting healthier eating habits.
However, hosting such events also presents challenges, including high infrastructure costs, economic disparities, and environmental sustainability concerns. Strategic planning, sustainable practices, and leveraging technology are crucial to addressing these challenges and maximizing the positive impacts of culinary services. Case studies from past events, such as the London 2012 and Rio 2016 Olympics, illustrate the importance of local sourcing and cultural representation in achieving economic and social benefits.
In conclusion, mega-sporting events offer substantial opportunities for economic and social transformation through their culinary impacts. By adopting comprehensive strategies that emphasize sustainability, community engagement, and public health, stakeholders can harness these events to create enriching and sustainable experiences for host communities and international visitors alike.
Digital Mental Health Interventions for Adolescents in Low- and Middle-Income Countries: Scoping Review
Authors: Wani Carolina , McCann Lisa , Lennon Marilyn , Radu Caterina
Published: September 2024

Background

Digital mental health interventions (DMHIs) are increasingly recognized as potential solutions for adolescent mental health, particularly in low- and middle-income countries (LMICs). The United Nations’ Sustainable Development Goals and universal health coverage are instrumental tools for achieving mental health for all. Within this context, understanding the design, evaluation, as well as the barriers and facilitators impacting adolescent engagement with mental health care through DMHIs is essential.

Objective

This scoping review aims to provide insights into the current landscape of DMHIs for adolescents in LMICs.

Methods

The Joanna Briggs Institute scoping review methodology was used, following the recommendations of the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews). Our search strategy incorporated 3 key concepts: population "adolescents," concept "digital mental health interventions," and context "LMICs." We adapted this strategy for various databases, including ACM Digital Library, APA PsycINFO, Cochrane Library, Google Scholar (including gray literature), IEEE Xplore, ProQuest, PubMed (NLM), ScienceDirect, Scopus, and Web of Science. The articles were screened against a specific eligibility criterion from January 2019 to March 2024.

Results

We analyzed 20 papers focusing on DMHIs for various mental health conditions among adolescents, such as depression, well-being, anxiety, stigma, self-harm, and suicide ideation. These interventions were delivered in diverse formats, including group delivery and self-guided interventions, with support from mental health professionals or involving lay professionals. The study designs and evaluation encompassed a range of methodologies, including randomized controlled trials, mixed methods studies, and feasibility studies.

Conclusions

While there have been notable advancements in DMHIs for adolescents in LMICs, the research base remains limited. Significant knowledge gaps persist regarding the long-term clinical benefits, the maturity and readiness of LMIC digital infrastructure, cultural appropriateness, and cost-effectiveness across the heterogeneous LMIC settings. Addressing these gaps necessitates large-scale, co-designed, and culturally sensitive DMHI trials. Future work should address this.
An Advanced Machine Learning Model for a Web-Based Artificial Intelligence–Based Clinical Decision Support System Application: Model Development and Validation Study (Preprint)
Authors: Lin Tai-Han , Chung Hsing-Yi , Jian Ming-Jr , Chang Chih-Kai , Perng Cherng-Lih , Liao Guo-Shiou , Yu Jyh-Cherng , Dai Ming-Shen , Yu Cheng-Ping , Shang Hung-Sheng
Published: September 2024

BACKGROUND

Breast cancer is a leading global health concern, necessitating advancements in recurrence prediction and management. The development of an artificial intelligence (AI)–based clinical decision support system (AI-CDSS) using ChatGPT addresses this need with the aim of enhancing both prediction accuracy and user accessibility.

OBJECTIVE

This study aims to develop and validate an advanced machine learning model for a web-based AI-CDSS application, leveraging the question-and-answer guidance capabilities of ChatGPT to enhance data preprocessing and model development, thereby improving the prediction of breast cancer recurrence.

METHODS

This study focused on developing an advanced machine learning model by leveraging data from the Tri-Service General Hospital breast cancer registry of 3577 patients (2004-2016). As a tertiary medical center, it accepts referrals from four branches—3 branches in the northern region and 1 branch on an offshore island in our country—that manage chronic diseases but refer complex surgical cases, including breast cancer, to the main center, enriching our study population’s diversity. Model training used patient data from 2004 to 2012, with subsequent validation using data from 2013 to 2016, ensuring comprehensive assessment and robustness of our predictive models. ChatGPT is integral to preprocessing and model development, aiding in hormone receptor categorization, age binning, and one-hot encoding. Techniques such as the synthetic minority oversampling technique address the imbalance of data sets. Various algorithms, including light gradient-boosting machine, gradient boosting, and extreme gradient boosting, were used, and their performance was evaluated using metrics such as the area under the curve, accuracy, sensitivity, and F1-score.

RESULTS

The light gradient-boosting machine model demonstrated superior performance, with an area under the curve of 0.80, followed closely by the gradient boosting and extreme gradient boosting models. The web interface of the AI-CDSS tool was effectively tested in clinical decision-making scenarios, proving its use in personalized treatment planning and patient involvement.

CONCLUSIONS

The AI-CDSS tool, enhanced by ChatGPT, marks a significant advancement in breast cancer recurrence prediction, offering a more individualized and accessible approach for clinicians and patients. Although promising, further validation in diverse clinical settings is recommended to confirm its efficacy and expand its use.
Digital Pattern Recognition Using Deep Learning Architectures to Detect Penile Abnormalities: Protocol for the Development of a Mobile Application for Circumcision Eligibility (Preprint)
Authors: Wahyudi Irfan , Utomo Chandra Prasetyo , Djauzi Samsuridjal , Fathurahman Muhamad , Situmorang Gerhard Reinaldi , Rodjani Arry , Raharja Putu Angga Risky , Yonathan Kevin , Santoso Budi , Khresna Dwidian , Raditya Marco
Published: September 2024

BACKGROUND

Circumcision is a common surgical procedure with significant cultural and medical implications, requiring careful evaluation to identify suitable candidates and minimize risks, especially those associated with penile abnormalities. Despite advancements in healthcare, the accurate diagnosis of these abnormalities remains challenging, particularly in resource-limited settings.

OBJECTIVE

This study proposes the development of a digital image recognition system to aid in the early detection of penile abnormalities and determine circumcision eligibility.This study is currently initiating model development phase.

METHODS

Artificial intelligence is developed using deep learning techniques, trained using digital images of the male genitalia taken from three different angles: ventral, dorsal, and lateral sides. Upon completion, the system will be integrated into a mobile application, enabling real-time analysis and decision support. This approach aims to improve diagnostic accuracy and healthcare accessibility, thereby enhancing patient outcomes and clinical decision-making processes. Ethical considerations, including informed consent and data security, will be rigorously maintained throughout the study.

RESULTS

This study is currently initiating model development phase. The study aims to conclude by December 2024.

CONCLUSIONS

By the end of this study, we anticipate that the proposed system will enhance healthcare accessibility and inform clinical decision-making regarding circumcision suitability, thereby contributing to improved patient outcomes and healthcare delivery.
Product Based Sentiment Analysis Based on Deep Learning for Amazon Review
Authors: Purohit Amit
Published: September 2024

The growth of E-commerce gave importance to customer needs and opinions which in turn gave rise to an important aspect of online shopping known as ‘Customer Reviews’. User reviews are customer suggestions and opinions about the product which helps other customers make decisions about the product. Such review systems form the backbone of Ecommerce. Using machine learning approach for sentiment analysis helps in finding useful patterns and derives predictions which are important in decision making for improvement of overall products and customer satisfaction. E-commerce websites generate thousands of reviews about different products on their website Sentiment Analysis is the process of identifying, extracting, and studying subjective knowledge using Natural Language Processing (NLP). The significance of sentiment analysis in understanding user-generated content, particularly in the context of Amazon product reviews. Our aim is to analyze the Amazon Customer Review Dataset using Aspect based sentiment analysis with Deep Learning Techniques and to uncover statistical trends, which can be used to improve customer satisfaction .The research evaluates multiple machine learning algorithms using a large dataset of Amazon reviews where BERT achieving the highest accuracy. Also we compare overall accuracy of these algorithms using measures like precision and recall and f measure.
El materialismo cognitivo: un estado del arte
Authors: Zukerfeld Mariano , Liaudat Santiago
Published: September 2024

El materialismo cognitivo es un marco teórico-metodológico desarrollado desde América Latina para el análisis de las relaciones entre capitalismo y conocimiento, fundamentalmente alrededor de los procesos productivos. Dicho marco, con base en un conjunto de categorías originales, permite una relectura de la historia del capitalismo y ofrece interpretaciones de fenómenos contemporáneos. A su vez, presenta una ontología y una gnoseología materialistas cognitivas y reabre la indagación sobre problemas y conceptos clásicos (dialéctica, ideología, explotación, entre otros). Por razones de extensión, este artículo no aborda este conjunto de temas, sino que se presenta una revisión del materialismo cognitivo respecto de algunas de sus nociones fundamentales y se sistematiza la literatura que ha hecho uso de ellas en la última década. Se trata, en tanto, de un conjunto de investigaciones que han enriquecido el alcance de las categorías originarias. Esta tarea de recapitulación se lleva a cabo alrededor de cuatro ejes temáticos. Primero, se señalan los diálogos teóricos a partir de los cuales emerge el materialismo cognitivo. Segundo, se presentan las nociones básicas de este enfoque, incluyendo la concepción sobre el capitalismo y sus etapas. Tercero, se expone el abordaje teórico y empírico del materialismo cognitivo respecto de la relación entre producción y apropiación de conocimientos, particularmente alrededor de las distintas formas de propiedad intelectual. Esta línea de estudios ha incluido, en varios casos, la dimensión de las relaciones centro/periferia respecto a esos procesos de apropiación. Cuarto y último, se revisan trabajos teóricos y empíricos que dan cuenta de un conjunto de tendencias de la sociedad, la economía y la cultura asociadas a las tecnologías digitales e Internet.
The impact of independence, auditors’ competence and information technology usage on internal audit quality: Empirical evidence from Chinese commercial banks
Authors: Zhang Chi , Mohammed Shah Sabarina , Lau Yeng Wai , Ngalim Siti Manisah
Published: September 2024

The purpose of this article is to study the primary influencing factors of internal audit quality (IAQ) in Chinese commercial banks (CCBs). To achieve this, we first conducted a search on China National Knowledge Infrastructure (CNKI) and identified 64 conceptual articles related to IAQ in CCBs. It is generally believed that the competence of internal auditors (COMP), the independence of internal audit (IND), and information technology usage (ITU) are key factors in improving the quality of internal audits. Secondly, to deeply analyze the impact of these three key factors, we conducted a questionnaire survey in CCBs. The questionnaire data verified that the impact of these three factors on IAQ is significant through the partial least squares structural equation modeling (PLS-SEM) method.
Macroeconomic Dynamics and Sustainability Index Reporting: An Islamic Economic Perspective on ASEAN Markets
Authors: Bimantoro Jonathan , Madnasir Madnasir , Sisdianto Ersi
Published: September 2024

This study investigates the relationship between macroeconomic variables and stock indices within the framework of Sustainability Index Reporting in selected ASEAN countries, incorporating an Islamic Economic perspective. Utilizing quantitative data from 2018 to 2022, the research employs panel data regression analysis, specifically a fixed effect model approach, to explore the impact of key economic indicators. The results indicate that GDP growth rate, population, interest rates, and exchange rates collectively have a significant effect on Sustainability Index Reporting, affirming the suitability of the regression model. Individually, the analysis reveals that GDP growth rate and exchange rates positively influence the Sustainability Index, while population and interest rates exert a negative impact. Moreover, GDP growth rate and interest rates are identified as significant factors, whereas population and exchange rates show an insignificant influence. These findings underscore the importance of macroeconomic stability in shaping sustainable financial practices in ASEAN markets, offering insights into the integration of Islamic economic principles in enhancing sustainable development and financial reporting.
Key Forensic Accounting Takeaways: People Ex Rel. James v. Donald J. Trump et al.
Authors: Tinkelman Daniel
Published: September 2024

On February 16, 2024, a New York court found former President Trump and others civilly liable, under a specific New York law, for up to $450 million, including interest, for providing misleading financial statements to banks and others. I explain the legal basis of the suit, which is very different from common law fraud suits. It was brought by the New York State Attorney General, not the purported victims. There are sharply divergent views on whether the suit should have been brought. I also discuss five other issues of interest to forensic accountants pertinent to the trial: the use of “estimated current value” in personal financial statements; differing views of materiality; the protective value of disclaimers for financial statement issuers and accountants performing compilations; the impact of deferred tax liabilities to net worth; and whether personal financial statements have value.

Data Availability: Data are available from public sources cited in the text.

JEL Classifications: M41; M42; M49.
Two models of hydrocarbon deposits formation in the South Caspian and Middle Kura Depressions
Authors: Yusubov N.P. , Guliev I.S.
Published: September 2024

The model for the formation of hydrocarbon deposits in the South Caspian and Middle Kura depressions, despite a detailed study of the problem using geophysical and geochemical methods, remains a subject of debate.
The model, which is shared by most researchers, assumes that the deposits in these depressions were formed according to the classical scheme of sediment compaction and horizontal-vertical migration of hydrocarbons along a system of bedding and fractures.
According to seismic data, such a model of field formation, under some assumptions, corresponds to the conditions of the Middle Kura depression, where there are no vertical channels for the migration of hydrocarbon fluids formed in sediments of the Middle Eocene and partially Maikop (Oligocene-Miocene). Here, hydrocarbon deposits confined to these stratigraphic intervals of the geological section were formed as a result of intrastratal migration of fluids.
Data from geological and geophysical studies show that this model does not fit well into the paleotectonic cycles of development of the South Caspian basin, where the source rocks are Oligocene-Miocene (Mayopian) rocks, and hydrocarbon deposits were discovered in Pliocene reservoirs. This depression is characterized by a model developed by the authors of the article and supported by a number of researchers, which suggests that the determining factor in the formation of oil and gas fields is the paragenetic development of mud volcanoes and traps, as well as the main routes for fluid migration are the eruption channels of mud volcanoes.
The following facts are cited in favor of this hypothesis: in the South Caspian depression, all large and giant deposits are associated with eruption channels of mud volcanoes, here the development of structures and the formation of mud volcanism are synchronized and conjugate in space and time. The chemical and isotopic composition of fluids found in breccias of mud volcanoes and samples taken from deposits is almost identical.
The above opinions of the authors are formulated on the basis of geological interpretation of seismic data and the results of geochemical studies.
Key words: migration of hydrocarbons, faults, mud volcanism, oil and gas traps, type of reservoirs
Petrophysical rock typing of complex reservoirsin the Visevian and Tournaisian formations of the Berezivske fieldbased on filtration capacity and elastic propertiesusing the Winland Method and Pore Geometry Structure Method
Authors: Yemets Vladyslav , Bezrodna Iryna
Published: September 2024

Petrophysical rock typing of reservoirs based on well logging data is always relevant. The justified principles of such typing enhance the interpretation capabilities of well logging data using reservoir models for estimating hydrocarbon reserves and predicting their productivity.
The main objective of this paper was to consider the role and possibilities of rock reservoir typing based on the interpretation results of well logging data in a well 203 of the Berezivske field of the Dnipro-Donetsk depression for the visean and tournaisian formations using the integration of Winland Method and Pore Geometry Structure (PGS) Method.
The authors have generated a correlation between effective pore size, absolute permeability coefficient and porosity coefficient based on Winland equation. Six different rock reservoir types were identified with the determination of effective pore size (from 0,025 to 1,8 μm). The equations were created according to the PSG rock typing methodology based on the correlation between pore geometry and pore structure parameters for each identified group. It was established that the prevailing effective pores in reservoirs were compacted pores: only a few reservoirs (type 1) were characterized by the presence of primary pores (b=0.4934). The presence of various types of secondary pores (b=0.14÷0.016) was identified in other reservoirs.
For the first time in this field, the authors used Winland Method and Pore Geometry Structure (PGS) Method to classify and evaluate the relationships between elastic parameters and the inner parameters of pores for different rock reservoir types. The results showed that the proposed methodologies are essential for evaluating the elastic properties of rocks based on porosity and permeability coefficients in the form of pore geometry and pore structure.
National Seismological Bulletin of Ukraine in 2022
Authors: Andrushchenko Yu.A. , Liashchuk O.I. , Farfuliak L.V. , Amashukeli T.A. , Ganiev O.Z. , Osadchyi V.I. , Petrenko K.V.
Published: September 2024

As of 2022, the National System of Seismic Observations of Ukraine had a network of observation points run by the S.I. Subbotin Institute of Geophysics of the National Academy of Sciences and the Main Center for Special Control of the State Space Agency of Ukraine. These institutions established a unified National Data Center, where the data is collected, processed, and analyzed. Information is provided both in real time and later, after an in-depth analysis, in the form of seismological bulletins and earthquake catalogs.
According to the observations, 160 earthquakes occurred on the territory of Ukraine and neighboring countries in 2022. Most were confined to the deep focus Vrancea zone (Romania). The maximum recorded earthquake magnitude is 5.4. Earthquakes from the territory of other neighboring states had a local character and did not significantly impact the seismicity of Ukraine’s territory. The most powerful earthquakes within the territory of Ukraine were registered in the Poltava region on July 6, 2022, and October 3, 2022. These earthquakes had a magnitude of 3.4 and a hypocenter depth of 10 km and caused shaking in the epicentral region with an intensity of up to 2 points. In addition, on January 21, 2022, there was an earthquake in the Kryvyi Rih region. This earthquake had a magnitude of 3.3, but due to the smaller depth of the hypocenter (h=5 km), it caused perceptible tremors in the area of the epicenter with an intensity of up to 3 points.
On the territory of Ukraine, most of the epicenters of registered earthquakes are located within Volyn-Podillia, the Dnieper-Donets Depression, and the Transcarpathian Depression.
The seismological bulletin of Ukraine includes detailed information on all seismic events that occurred in 2022 in the territories of Ukraine and neighboring countries.
Full information on each earthquake from the Earthquake Catalog for 2022 is provided in full in the pdf file of the article of the same name on the website of the Geophysical Journal.
Gender Equality in Islamic Boarding Schools
Authors: Harisman Harisman , Maftuchah Farichatul
Published: September 2024

Islamic boarding schools are seen as a non-formal educational institution that holds religious-based programs for its students. Nevertheless, Islamic boarding schools are often used as a legitimacy of gender injustice. This issue definitely needs to be reviewed by looking directly at the actual reality of education in it and its influence on the thinking of the students regarding gender equality. Thus, this study took the subject of Fathul Muin Islamic boarding school research by using Paulo Freire's philosophy of humanism because with his philosophical theory it can be studied about the role of Islamic Boarding School in providing awareness, especially for female students about gender equality and justice of rights. The results show that Fathul Muin Islamic boarding school education greatly influences the mindset of its students. The results of the interviews show that there has been an awareness of gender equality. However, the thing that needs to be criticized lies in the learning patterns of Islamic boarding schools which are not much different from other Islamic boarding schools, so reforms need to be carried out as a process towards values of liberation, humanism and equality.
Необходимые и достаточные условия существования решений у распределительной задачи с ограничениями
Authors: Кемпер Феликс
Published: September 2024

В этой статье рассматривается распределительная задача на простом графе без лимитов на перемещения ресурсов. И для нее устанавливаются необходимые и достаточные условия существования решений в виде набора линейных неравенств, связывающих предложения ресурсов и потребности в них. Затем предлагается алгоритм построения всех независимых
линейных ограничений. Полученный результат зависит только от структуры исходного графа.
Retailers’ behavioral intention and behavior in adopting e-commerce platforms
Authors: Nguyen Thi Thuy , Ha Van Duong , Nguyen Linh Thi Thuy
Published: September 2024

This study conducts research on retailers’ behavioral intentions and behavior in adopting e-commerce platforms (ECPs) and uses the unified theory of acceptance and use of technology (UTAUT2) model as well as add other factors such as Personalization Platform, Seamless Interaction. The findings show that Effort Expectancy, Social Influence, Hedonic Motivation, Retailers’ Capacity, Integration Strategies have a positive impact on retailers’ behavioral intention of adopting ECPs and Performance Expectancy has a negative impact on retailers’ behavioral intention of adopting ECPs. At the same time, Behavioral Intention, Facilitating Conditions have a positive impact on retailers’ behavior adopting ECPs and Seamless Interaction has a negative impact on retailers’ behavior adopting ECPs. With important implications, these findings are proposed to relevant parties, helping retailers and ECPs suppliers identify factors affecting retailers’ behavioral intention and behavior in adopting ECPs in Vietnam.
Effectivity analysis of the scrum framework adaptation in safety performance improvement: A system dynamics approach
Authors: Sudiarno Adithya , Abdillah Okto , Yusdin Hammam Dhiyaurrahman , Ummatin Kuntum Khoiro , Murti Izzati Winda
Published: September 2024

The rapidly growing construction industry often deals with complex and dynamic projects that pose significant safety risks. One of the state-owned companies in Indonesia is engaged in large-scale toll road construction projects with a high incidence of workplace accidents. This study aims to improve safety performance in toll road construction by implementing the Scrum framework. The study uses a System Dynamics approach to model interactions between the Scrum framework, project management, and work safety subsystems. Various scenarios were designed by modifying controlled variables and system structures, including introducing a punishment entity. These scenarios were evaluated based on their impact on reducing incidents and the incident rate over the project period. The results indicate that the combined scenario significantly reduces incidents and incident rates in different conditions. The study also finds a strong relationship between Scrum framework implementation and improved safety performance, demonstrating a reduction in incidents and incident rates by over 50% compared to existing conditions. This research underlines the effectiveness of the Scrum framework in enhancing safety in construction projects.
Revisiting immunology textbooks: Considering potential insights based on the role of RNA-guided antiviral defense
Authors: Muratkhodjaev Javdat , Muratkhodjaeva Saodat , Aripova Tamara
Published: September 2024

Amidst the COVID-19 pandemic, this article offers a cautious re-evaluation of traditional notions surrounding the immune system’s role in combating viral infections. Departing from the prevalent emphasis on antibodies and T cells, the manuscript proposes a hypothesis highlighting the pivotal role of RNA interference present in every nucleated cell of the human body for antiviral defense. This system, honed over years of co-evolution with viruses, harbors a diverse array of microRNAs aimed at suppressing viral replication. Additionally, in the event of failure, novel microRNAs are synthesized to target specific viruses, underscoring the concept of natural immunity and RNA interference’s adaptability. Delving into the sentinel role of the specialized immune system (SIS), the article underscores its significance in safeguarding the body’s integrity and combating tumors, extending beyond mere adaptation to pathogens. It also discusses the risks associated with antibody-dependent enhancement of infection and the depletion of naive T and B cells resulting from extensive use of antiviral vaccines. By accentuating the significance of RNA interference as an often-overlooked aspect of human antiviral defenses, the authors advocate for broader, more exploratory discussions within the scientific community regarding the intricate nature of immune responses and vaccine efficacy.
Nanofibrous membranes loaded with bupivacaine and carica papaya extract for pain management and wound healing in postoperative wounds
Authors: Zhang Aiqin , Hussain Shaik Althaf , Alrubie Turki Mayudh , Jiang Rong
Published: September 2024

The pursuit of effective pain management and wound healing strategies within modern medicine remains a challenge. Postoperative skin injuries arising from surgeries and traumatic incidents often bring substantial discomfort, necessitating interventions that combine optimal pain relief with accelerated wound recovery. In this research, bupivacaine and carica papaya extract were loaded into polycaprolactone/polyvinyl alcohol membranes in order to develop a pain-relieving wound dressing material for pain management and skin wound healing after surgeries. The in vitro experiments were used to characterize the pain-relieving scaffold. An in vivo study of the excisional wound was carried out in a rat model. Histopathological examinations, wound closure studies, and pain-related behavioral factors were utilized to assess the in vivo pain management and wound healing efficacy of the dressings. Results showed that our developed constructs were not toxic and modulated inflammatory responses. In vivo study showed that this system could successfully close wounds and decrease the sensitivity of animals to painful stimuli. These wound dressings may potentially be considered dual function wound dressings to treat skin injuries.