bluuebunny/crossref_metadata_2025 huggingface dataset:
НАКОПЛЕНИЕ ПОЧВЕННОГО РАДОНА В УЗКОЙ ТРУБЕ ПРИ ДИФФУЗИИ ЧЕРЕЗ ОТВЕРСТИЕ В НЕПРОНИЦАЕМОМ ПОВЕРХНОСТНОМ ЭКРАНЕ
Authors: Д.Г. Рывкин , Е.Н. Рыбаков
Published: October 2024

Получено приближенное решение задачи диффузии почвенного радона в узкую цилин- дрическую вертикальную трубу (распределением концентрации и потока по радиусу трубы пренебре- гаем) с закрытым верхним основанием. До начала накопления земная поверхность покрыта непро- ницаемым для радона экраном. В некоторый момент в экране открывается отверстие, совпадающее с нижним основанием трубы, и радон начинает диффундировать из почвы в трубу. Для произвольного момента времени установлено, что плотность потока радона (ППР) в основании трубы линейно связана со средней по объему накопления концентрацией и скоростью ее изменения. В стационарном случае (при времени много большем среднего времени жизни частиц радона) получены аналитические вы- ражения для распределений концентрации и плотности диффузионного потока по длине трубы. Пока- зано, что стационарный диффузионный поток в основании узкой трубы пропорционален средней по объему накопления стационарной концентрации радона. Предложен алгоритм определения эффектив- ного коэффициента диффузии, пористости приповерхностных пород и ППР через земную поверхность при отсутствии экрана по данным синхронных наблюдений концентрации радона в нескольких точках вдоль длины трубы.

We obtain an approximate solution to the problem of diffusion of soil radon into a narrow vertical cylindrical pipe with a closed upper base (neglecting the radial variation in concentration and fl ux). Before the accumulation begins, the soil surface is covered with a screen impenetrable to radon. At some point, a hole coinciding with the lower base of the pipe opens in the screen, and radon begins to diffuse from the soil into the pipe. We show that at all times the density of the radon diffusion fl ux (RDF) at the low base of the pipe is linearly related to the average concentration in the chamber and its rate of change. In the stationary regime (at times much greater than the average lifetime of radon particles), closed-form expressions are obtained for the distribution of concentration and RDF along the length of the pipe. For this case, it is shown that the RDF through a hole in an impenetrable screen is proportional to the volume-average accumulation of concentration. Based on these solutions, a method is proposed to measure the effective diffusion coeffi cient, the porosity of near-surface rocks, and the RDF density through the soil surface in the absence of a screen, using synchronous observations of radon concentration at several points along the length of the pipe.
Effects of Essential Fatty Acids on Brain Health
Authors:   Department of Biosciences, COMSATS University Islamabad, Pakistan, Adeel Nida
Published: October 2024

Aim: The human brain is comprised of approximately 60 percent fat, highlighting the important role of fatty acids in sustaining brain integrity and functionality. Essential Fatty Acids (EFAs) are necessary for health maintenance but cannot be synthesized endogenously and must therefore is sourced from veggies and fruits intake. Research has indicated that imbalances in dietary fatty acid consumption are associated with diminished brain performance and a variety of diseases. Methodology: Brain development predominantly concludes by the age of five to six years, during which EFAs, particularly fatty acids like omega-3, are integral to both fetal and postnatal brain development. De Hexenoic Acid (DHA), a specific fatty acid omega-3, is indispensable for the optimal maturation of the retina and visual cortex. Empirical evidence suggests that increased DHA intake is correlated with improvements in visual acuity and cognitive development.
Differentiation of Repeat Phosphopeptide Isomers Through Metal Interactions in FAIMS
Authors: Vuppala Laxmi Sinduri , Campbell Larry , Evans-Nguyen Theresa
Published: October 2024

Phosphorylation regulates RNA polymerase II (RNAPII) to transcribe RNA from DNA but remains challenging to study by standard liquid chromatography followed by electrospray ionized-mass spectrometry (LC/ESI-MS) and fragmentation studies. To this end, we employed field asymmetric waveform ion mobility spectrometry (FAIMS) to explore metal-phosphorylation adduction to facilitate the analysis of variants. We analyzed phosphoisomers inspired by RNAPII C-terminal domain (CTD) heptads YSPTSPS, indistinguishable by collision-induced dissociation. The modulation of the carrier gas with solvent modifier provided partial differentiation of gas-phase metal-peptide adducts. During the compensation voltage scan with increasing dispersion voltage, alkali metal-doped phosphoheptad isomers showed selective elution. As per PM7 models, isomers may cluster/decluster with alkali ion/methanol with different bond energies due to the varied phosphosites. These conditions were successfully applicable to biologically significant modified tryptic diheptads. Translation of such methods might allow the detection of phosphosites in finding disease-causing mutations or aid targeted therapeutics development.
Ultrathin Catalytic Condensers with engineered Pt/HfO2 interfaces for charge modulation
Authors: Dakhchoune Mostapha , Groenhout Katelyn , Rana Rachita , Román-Leshkov Yuriy
Published: October 2024

Catalytic condensers offer a flexible platform for programmable catalysis by modulating the electronic properties of active sites through applied voltage. Constructed as metal-oxide-semiconductor (MOS) stacks, these devices feature a high-k dielectric separating two conductive films, with the top electrode serving as both a catalytic layer and charge distributor. Here, we enhanced the architecture of the catalytic condensers to improve charge distribution and localization. By reducing the hafnia dielectric thickness from 70 nm to sub-5 nm using an optimized Atomic Layer Deposition (ALD) process and integrating single-layer graphene as a charge distributor, we achieved a charge density of 4.6 x 10¹³ charges cm-2 without exceeding a leak current of 100 μA cm-2. Systematic ALD studies revealed that purge time affects the dielectric constant and resulting leak current, enabling the fabrication of a more electrically insulating and thin dielectric layer. These optimized condensers demonstrated leak currents as low as 1 nA cm-2 at 1.0 x 10¹³ charges cm-2. The ultrathin catalytic condensers were then used to explore several new geometries aimed at maximizing charge accumulation per platinum atom. The most effective design, the "blanket condenser," featured small platinum nanoislands at the interface of the top electrode and hafnia dielectric, covered by either single-layer graphene or porous carbon nanotubes. This configuration effectively blanketed the nanoislands, closing the electrical circuit while minimizing the distance between the dielectric and the active nanoislands. Compared to a continuous platinum electrode, the blanket condenser enabled accumulation of significantly more charge per platinum atom, opening new opportunities for catalytic applications.
Convergent Protocols for Computing Protein–Ligand Interaction Energies Using Fragment-Based Quantum Chemistry
Authors: Bowling Paige , Broderick Dustin , Herbert John
Published: October 2024

Fragment-based quantum chemistry methods offer a means to sidestep the steep nonlinear scaling of electronic structure calculations so that large molecular systems can be investigated using high-level methods. Here, we use fragmentation to compute protein–ligand interaction energies in systems with several thousand atoms, using a new software platform for managing fragment-based calculations that implements a screened many-body expansion. Convergence tests using a minimal-basis semi-empirical method (HF-3c) indicate that two-body calculations, with single-residue fragments and simple hydrogen caps, are sufficient to reproduce interaction energies obtained using conventional supramolecular electronic structure calculations, to within 1 kcal/mol at about 1% of the computational cost. We also demonstrate that the HF-3c results are illustrative of trends obtained with density functional theory in basis sets up to augmented quadruple-zeta quality. Strategic deployment of fragmentation facilitates the use of converged biomolecular model systems alongside high-quality electronic structure methods and basis sets, bringing ab initio quantum chemistry to systems of hitherto unimaginable size. This will be useful for generation of high-quality training data for machine learning applications.
FULL-DIMENSIONAL POTENTIAL ENERGY SURFACE AND DYNAMICS OF THE OH + CH3SH GAS-PHASE REACTION
Authors: Rangel Cipriano , Espinosa-Garcia Joaquin
Published: October 2024

In the present work we have developed for the first time an analytical full-dimensional potential energy surface, PES-2024, describing the polyatomic OH + CH3SH gas-phase reaction. This reaction presents some intrinsic difficulties, such as 18 degrees of freedom, two reactive channels and the presence of intermediate complexes in the entrance and exit channels. In the valence bond-molecular mechanics, VB-MM, framework, we have developed this potential based on a reduced number of high-level ab initio calculations, the input data. The new PES has been subjected to a series of stringent tests. PES-2024 simultaneously describes the two reaction paths, hydrogen abstraction from the methyl group (R1 path) and from the thiol group (R2 path) forming the water molecule, and reasonably describing the topology of the reaction: high exothermicities, low barriers and the presence of intermediate complexes. Based on this surface, quasi-classical trajectory calculations (QCT) were performed at room temperature, with special emphasis on the H2O(v1,v2,v3) product stretching and bending vibrational excitations, and the results compared with the experimental evidence. The available energy was mostly deposited as water vibrational energy, 49%, simulating the experimental evidence. Agreement with experiments of these detailed state-to-state results lend confidence to the new surface.
Enhanced photocatalytic conversion of CO2 by H2O over Ag@Cr-cocatalyst-modified ZnTa2O6
Authors: Kawata Kio , Iguchi Shoji , Naniwa Shimpei , Nishimoto Masamu , Teramura Kentaro
Published: October 2024

A zinc tantalate (ZnTa2O6) photocatalyst modified with an Ag cocatalyst via ultrasonic reduction (denoted as Ag(USR)/ZnTa2O6) exhibited higher activity for the photocatalytic conversion of CO2 by H2O than Ag/ZnTa2O6 via other widely used methods. However, the CO formation rate was low. In this study, a photocatalyst was prepared by coating the Ag nanoparticles of Ag(USR)/ZnTa2O6 with Cr(OH)3·xH2O via the photodeposition (PD) method (denoted as Cr(PD)/Ag(USR)/ZnTa2O6) to increase the CO formation rate. Cr(PD)/Ag(USR)/ZnTa2O6 produced CO at the maximum formation rate of ∼600 µmol h1, which was 50 and 8.5 times higher than bare ZnTa2O6 and Ag(USR)/ZnTa2O6, respectively. Furthermore, an induction period was observed during the time course of photocatalytic activity. The scanning electron microscopy results highlighted that Ag nanoparticles migrate to a specific site on the surface of ZnTa2O6 with progression of the photoirradiation time, causing the rearrangement of Ag nanoparticles during this period. This rearrangement caused the separation of the photocatalytic reaction field, achieving high activity toward the photocatalytic conversion of CO2 because of the efficient reduction and oxidation reactions. Moreover, inductively coupled plasma mass spectrometry and ultraviolet-visible absorption spectroscopy revealed that Cr3 in Cr(PD)/Ag(USR)/ZnTa2O6 is oxidized to dissolvable CrO42 during the induction period. These CrO42 anions in solution were found to play a crucial role in maintaining the Cr layer of Cr(PD)/Ag(USR)/ZnTa2O6.
INTELLIGENT ROUTING ALGORITHMS FOR 6G WIRELESS NETWORKS: A REVIEW AND ANALYSIS
Authors:   Research Scholar Department of Computer Science KPR College of Arts Science and Research Arasur, Coimbatore-641407 Tamilnadu, India, Senthil N.
Published: October 2024

Routing is one of the key architectural facets in the 6G networks that plays a vital role in achieving the immense data transmission rate and features that are expected from the new generation wireless communication. These developments and approaches are discussed here for the next generation of wireless communication systems known as the 6G and the key technologies include AI, ML, and Quantum-inspired computing for improved routing. It also helps the routing algorithms to be intelligent and capable of constantly adapting to the existing network conditions in order to achieve the best transmission of data, reduced latency and the best utilization of the existing resources. The survey also focuses on the use of dynamic network slicing, edge computing and improving the security measures that is an indication of how the new technologies work hand in hand to improve the routing paths of the internet. From this survey, current research trends, technological advancement, and future scope offers a clear view of how 6G networks, as the next evolution over the previous generations, will address the routing problem and foster an advanced interconnected, secure, and responsive communication framework.
RESEARCH INTO AND ASSESSMENT OF CLUSTERING-BASED ROUTING TECHNIQUES FOR MANETS
Authors:   Research Scholar   Department of Computer Science   Sri Krishna Arts and Science College Coimbatore- 641008, Tamil Nadu, India, Reehanaparveen M.
Published: October 2024

Wireless Sensor Network (WSN) plays a crucial role in the current infrastructure of the Internet of Things (IoT) by enabling the continuous collection of data across various applications. One of the primary challenges in WSNs is effectively managing energy to prolong its lifespan while maintaining optimal performance. Therefore, there is a need for the synthesis of clustering and routing protocol as a method to achieve energy balance and enhance the lifespan of WSNs. By aggregating and processing data from a large number of sensor nodes, clustering techniques can significantly cut down on energy use. It intentionally selects Cluster Heads (CHs) to facilitate internal cluster communication and deliver consolidated information to the base station. Simultaneously, routing protocols optimize the paths through which data flows by considering factors such as energy levels of nodes in a network, network's topology and traffic demands of users. By implementing hierarchical communication structures WSNs can effectively address energy imbalances, prolong the network's lifespan and optimize the overall system's efficiency. This survey provides instances from various studies where clustering and routing protocols have been implemented to address energy balancing and extend network life in WSN. In addition, a comparative analysis of these studies demonstrates the advantage and disadvantages of various protocols. Possible future research topics are recommended to expand the capabilities of WSNs that include enhancing the durability of protocols, addressing security concerns
A HETEROGENEOUS ENSEMBLE MODEL FOR FORECASTING STOCK MARKET MONTHLY DIRECTION
Authors:   Computer Science Department. Modibbo Adama University  Yola, Nigeria, Raymond Linus Lavi
Published: October 2024

It has never been easy to invest in a set of assets, the abnormally of financial market does not allow simple models to forecast future asset values with higher accuracy. Machine learning, which consists of making computers perform tasks that normally requiring human intelligence is currently the dominant trend in scientific research. This article aims to ensemble a model using Support Vector Machine (SVM) and Long-Short Term Memory model (LSTM) to predict the Nigerian Stock Exchange values. The main objective of this paper is to see in which precision a Machine learning algorithm can predict and how much the epochs can improve our model
Deep Learning Techniques for Subtype Classification and Prognosis in Breast Cancer Genomics: A Systematic Review and Meta-Analysis
Authors:   Department of Computer Science  School of Computing, Babcock University  Nigeria, Abiodun Ayodeji G.
Published: October 2024

Breast cancer is a significant global health concern, characterized by its complex and heterogeneous nature, which presents challenges for accurate diagnosis and effective treatment. Traditional classification methods for breast cancer subtypes and prognosis prediction often lack precision. In contrast, recent advances in deep learning have shown great potential to enhance diagnostic accuracy and improve patient outcomes by leveraging complex genomic data. This systematic review and meta-analysis aim to evaluate the effectiveness of deep learning models in classifying breast cancer subtypes and predicting prognosis. By focusing on studies published between January 2013 and February 2024, sourced from Scopus and PubMed databases, this review analyzes the performance of models such as Convolutional Neural Networks (CNNs) and Graph Convolutional Networks (GCNs). The results from 221 studies highlight that deep learning models significantly outperform traditional methods, achieving an average AUC of 0.893 and accuracy rates between 65.92% and 93%. These models demonstrate their ability to detect subtle genomic patterns associated with disease progression and patient outcomes, marking a substantial advancement in personalized medicine and breast cancer diagnostics.
Preparing Teachers for Inclusive Education: Pre-Service Teachers’ Knowledge, Perceptions and Experiences of Inclusive Pedagogy from Teaching Practice
Authors: Daniel Mazzuki Blandina
Published: October 2024

Various scholars have questioned the effectiveness of teacher education programmes in preparing teachers for inclusive education. This study examines how teacher education programmes prepare pre-service teachers for inclusive education in terms of perceptions, knowledge and pedagogy. The study uses focus group discussions to examine pre-service teachers’ knowledge of inclusive education and their experiences of inclusive pedagogy from teaching practice. The SACIE-R questionnaire tool assesses the perceptions of 187 pre-service teachers with regard to inclusive education. The findings indicate that pre-service teachers acquire theoretical knowledge with gaps in field-based knowledge that hinder their ability to link theory and practice, and to develop inclusive pedagogy. Moreover, pre-service teachers have a low level of sentiments and harbour many concerns and negative attitudes towards inclusive education. The findings of the study contribute insights that can inform the design and structuring of inclusive education courses in teacher education programmes.
Intelligent warehouse systems
Authors:   University of Žilina, Biňasová Vladimíra , Bubeník Peter , Rakyta Miroslav , Kasajová Marta , Zuzik Ján
Published: October 2024

Artificial intelligence can change the overall operation of a business and make work activities more efficient not only in terms of time but also economically. Individual enterprises are increasingly trying to incorporate artificial intelligence into production processes and the need to summarize knowledge about this trend is the main pillar of this paper.
Discussion on the Talent Cultivation Strategy for Interior Design in Vocational Colleges from the Perspective of Industry-Education Integration
Authors: Guo Jingqiu , He Qing , Zeng Jin
Published: October 2024

To further enhance the effectiveness of talent cultivation for interior design in vocational colleges, it is necessary to vigorously promote the construction of an industry-education integration model. Through this model, the roles of both enterprises and schools can be leveraged to jointly facilitate the continuous improvement of students’ professional abilities and practical skills, providing a steady stream of high-quality talents for the development of the interior design field. Therefore, this paper analyzes the current issues in interior design talent cultivation in vocational colleges from the perspective of industry-education integration and proposes corresponding improvement measures.
Comprehensive Analysis of CXCL6 Biological Significance in Head and Neck Squamous Cell Carcinoma
Authors: Abid Muhammad Umair , Hameed Yasir
Published: October 2024

This study investigates the role of CXCL6 in head and neck squamous carcinoma (HNSC) through comprehensive expression and methylation analyses, genetic mutation analysis, and prognostic assessment. Utilizing the UALCAN dataset, CXCL6 expression analysis revealed a significant overexpression in HNSC cells compared to normal control samples, indicating its role in HNSC proliferation. Furthermore, an analysis of CXCL6 expression across different clinical parameters showed substantial up-regulation in various cancer stages, racial groups, gender, and age groups, underscoring its fundamental role in cancer progression. Validation of CXCL6 expression using the GEPIA2.0 online tool confirmed that CXCL6 was highly expressed in HNSC development compared to control samples. An analysis of CXCL6 expression across different stages of cancer revealed dysregulation in all four stages, with the highest expression in stage II and the lowest in stage III. This study also explored the promoter methylation levels of CXCL6, establishing a significant association between HNSC samples and normal controls. Examining promoter methylation across different clinical parameters revealed considerable variations, with distinct methylation patterns observed across cancer stages, racial groups, gender, and age. Overall survival (OS) and disease-free survival (DFS) analyses using the KM plotter tool demonstrated that high CXCL6 expression was associated with poorer OS compared to low expression levels. Similarly, DFS analysis showed that patients with low CXCL6 expression experienced better DFS outcomes compared to those with high CXCL6 expression. Finally, mutational analysis using cBioPortal revealed no significant mutations in HNSC samples. These findings highlight the complex involvement of CXCL6 in HNSC pathogenesis, underscoring its potential as a prognostic biomarker and therapeutic target in HNSC management.
A Review on Emerging Contaminants: Effects on Human Health and Cancer Risks
Authors: Khaliq Hamza , Shahzad Faiza , Ullah Asad , Abid Muhammad Aziz , Gul Hafsa
Published: October 2024

Emerging contaminants are growing health concerns that pose potential threats to the environment and human health globally. They originate from multiple sources, including rapid industrial processes, agriculture, households, and wastewater treatment plants. Despite efforts to reduce the levels of such pollutants, these harmful elements remain a serious problem for public health and the overall quality of life. Exposure to emerging contaminants can lead to various health problems, including cardiovascular diseases, brain and developmental disorders, and cancer. These contaminants can harm aquatic life, disrupt ecosystems, and contaminate drinking water sources. Cancer, a complex heterogeneous disease, can be triggered by multiple causes, including genetic and environmental factors. The rapid increase in emerging contaminants has contributed significantly to the development and proliferation of cancer. This review highlights the dangerous effects of exposure to these contaminants and explores future directions in research. Additionally, it summarizes the emerging roles of inorganic contaminants, such as engineered nanoparticles, and biological contaminants, including pathogenic bacteria, antibiotic-resistant bacteria and resistance genes, viruses, protein contaminants, microplastics, and nanoplastics, in cancer progression and treatment.
Clinical Study on the Effect of Continuity of Care in CICU on Improving Cognitive Function and Psychological State in Patients with Heart Failure
Authors: Sang Jin , Xie Yuqing , Zhu Xintong
Published: October 2024

Objective: To analyze the effect of continuity of care in the cardiac intensive care unit (CICU) on improving cognitive function and psychological state in patients with heart failure (HF). Methods: A total of 112 chronic HF patients admitted to the CICU of Xuzhou Traditional Chinese Medicine Hospital from July 2022 to August 2024 were selected and randomly divided into two groups using the red and blue ball method: a control group (n = 56) and a study group (n = 56). The control group received routine CICU nursing management, while the study group received routine CICU nursing combined with continuity of care management. Cognitive function (using the Montreal Cognitive Assessment, MoCA), psychological state (using the Self-Rating Depression Scale, SDS, and Self-Rating Anxiety Scale, SAS), and quality of life (using the Minnesota Living with Heart Failure Questionnaire, MLHFQ) were compared between the two groups. Results: After the intervention, the cognitive function scores of the study group were significantly higher than those of the control group (P < 0.05). The SDS and SAS scores of the study group were significantly lower than those of the control group after the intervention (P < 0.05). The quality of life in the study group was also significantly better than in the control group (P < 0.05). Conclusion: CICU continuity of care can effectively improve cognitive function and psychological state in patients with HF, while also enhancing their quality of life.
Application and Research of Big Data Technology in Intelligent Ward
Authors: Li Yuhan , Li Tongxing , Dongye Shenglei
Published: October 2024

With the rapid development of information science and technology and the progress of the health service industry, the integration of medical services and new technologies such as big data technology has become more in-depth, and the construction of smart hospitals and smart wards has received more and more attention and application. This article conducts in-depth research and analysis on the application and exploration of big data technology in smart wards and explores the role of big data technology in improving the quality, efficiency, and cost of medical services in smart wards, as well as the application prospects and challenges of big data technology in patient monitoring, disease prevention, and diagnosis and treatment processes in smart wards. The focus is on analyzing and studying the use of big data technology to assist in the construction of smart neonatal surgery wards. This article aims to provide useful references and lessons for the construction and development of smart wards.
Effects of Acupuncture and Tuina Combined with Rehabilitation Therapy on Oxidative Stress Response and Motor Function in Stroke Hemiplegia Patients
Authors: Luo Xiaojing , Zeng Xuejiu , Liang Rouyun , Tian Chuning , Li Qian , Zhan Lifen , Xiao Lubo , Ding Qiangsheng
Published: October 2024

Objective: To explore the effects of acupuncture and tuina combined with rehabilitation therapy on oxidative stress response and motor function in stroke hemiplegia patients. Methods: Sixty stroke hemiplegia patients were randomly divided into observation and control groups, with 30 cases each. The control group received conventional rehabilitation therapy, while the observation group also underwent acupuncture and tuina. After 8 weeks of treatment, oxidative stress indicators [malondialdehyde (MDA), superoxide dismutase (SOD), glutathione peroxidase (GSH-Px)], neurological deficit scores (NIHSS), Fugl-Meyer motor function scores (FMA), and activities of daily living (Barthel Index) were compared between the two groups. Results: Before treatment, there were no significant differences in MDA, NIHSS scores, FMA scores, and Barthel Index between the two groups (P > 0.05). After 8 weeks, the observation group had lower MDA and NIHSS scores, but higher SOD, GSH-Px, FMA scores, and Barthel Index compared to the control group, with statistically significant differences (P < 0.05). Conclusion: Acupuncture and tuina combined with rehabilitation therapy can effectively improve oxidative stress levels, promote neurological recovery, enhance motor function, and improve daily living activities in stroke hemiplegia patients. This combined therapy is recommended for clinical application.
Research on Audit Risks in the Recognition of Data Assets on Financial Statements
Authors: Xiao Xia
Published: October 2024

This paper explores the audit risks associated with the recognition of data assets on financial statements, focusing on the complexities arising from their replicability, unique valuation patterns, and contextual dependencies. It identifies major misstatement risks at both the financial statement and assertion levels, including the potential for management to exaggerate data asset values, uncertainties in valuation methods, and deficiencies in data governance and internal controls. Additionally, auditors’ lack of professional knowledge and inappropriate audit methods can lead to inspection risks. The paper emphasizes the urgent need for enhanced accounting standards for data assets, effective guidelines for their recognition and measurement, and robust internal controls. Furthermore, it advocates for the exploration of effective valuation methods and the incorporation of advanced technologies, such as big data and AI, into auditing practices. By improving auditor training and methodologies, organizations can better manage the inherent risks associated with data asset auditing.
Western Media Coverage of Palestinian Men During the 2023-2024 Israeli War on Gaza
Authors:   ,   Lebanese American University -- Chouran Beirut, El Masry Noura
Published: October 2024

This study focuses on how mainstream Western media covered Palestinian men during the 2023-2024 Israeli war on Gaza, between October 7th and December 31st, 2023. It particularly addresses the ways in which events involving Palestinian men were covered. Based on both a qualitative and quantitative analysis that focuses on two mainstream Western media outlets – BBC and CNN – the thesis argues that mainstream Western media contributes to building a narrative that tends to gloss over the plight of the suffering of Palestinian men and obscures the experiences of these men. Additionally, the study argues that mainstream Western media treat Palestinian men as a homogenous category ignoring the differences between these men and surpassing childhood in the process. It further highlights the importance of including gender when analyzing media coverage of wars as it demonstrates how the strategic use of particular images of masculinity in specific narratives serves wider political projects and can assist in legitimizing the subjugation of certain bodies and the legitimization of violence against these bodies.
Informational Promotion of EAEU Humanitarian Projects in 2023 and Early 2024
Authors: Dombrovskaya A. Yu. , Buslaeva M. V. , Belyakov A.
Published: October 2024

The article analyzes the digital support for joint initiatives of the countries of the Eurasian Economic Union (EAEU) in the field of youth and education policy. The study involved the collection of social media content that reflects the online promotion of humanitarian projects by the EAEU during 2023 and early 2024.

The main findings of the analysis relate to the dynamics of publication activities by EAEU member states regarding information support for their joint humanitarian initiatives. This includes changes in user engagement with materials related to youth and educational initiatives, as well as an examination of the communication networks of digital actors within this international organization.

Based on these findings, recommendations are proposed for improving information support for the humanitarian efforts of EAEU members. These measures aim to enhance the visibility and impact of these initiatives through effective digital communication strategies.
Discursive Mechanisms of Constructing the “Existential Other” in the Relations of Trust Crisis between Russia and the West
Authors: Tyurikov A. G.
Published: October 2024

Based on the conducted discourse analysis, the article explores the mechanisms of constructing the image of an

“existential other” during a crisis of trust between Russia and the West. It examines foreign, Eastern, and domestic perspectives on the existentialisation of the crisis in relations between the Russian Federation and Western nations. Within this context, key discursive mechanisms have been identified and described. They include fabrication, the creation of narrative worlds, the inclusion of “dark-intentioned contexts” in political, socio-cultural, and economic agendas, as well as a mechanism that directs discourse towards mainstream mythologies. This approach can be applied to studies of the existentialisation of modern-day crises.
Methodological Approaches to the Study of Trust in Transforming Economic Relations
Authors: Voevodina E. V.
Published: October 2024

The article analyzes foreign approaches to the quantitative study of trust in the economic sphere (Edelman Trust Barometer, World Values Survey, PwC, Google, McKinsey and other). Relevant regularities for trust research are proposed. It is concluded that the transformation of social relations requires a revision of the traditional mechanisms for the formation of trust in the economy. The authors proposed a trust equation based on the approach of D. Maister, C. Green and R. Galford. In this equation, the key indicators-resources for building trust are reputation capital, community of values, transparency of actions, participation in activities of actors. The proposed approach can be used in studies of both institutional and interpersonal trust in the economy.
Risks and Opportunities of Using Artificial Intelligence in the Profession of Sociologist
Authors: Avdonina K. M. , Smirnova Ya. N.
Published: October 2024

The article contains the results of the author’s sociological research concerning the study of the risks and opportunities of using artificial intelligence in the profession of a sociologist. The study was conducted by the method of expert interviews. The paper reveals the degree of permissibility of using artificial intelligence at various stages of sociological research, describes the experience of experts using new technologies in research activities, and identifies the advantages and disadvantages of its use for both students and experienced sociologists. The authors of the article discuss the impact of artificial intelligence on the methods and practices used by sociologists, possible ethical dilemmas that may arise in the process of its implementation in sociology. Special attention is paid to the use of the neural network by students of sociology and the consequences of this trend on their quality of training and competencies. The impact of the introduction of artificial intelligence on the transformation of the labor market is emphasized.
Estrategias anestésicas y cuidados neonatales en la reparación quirúrgica del Onfalocele: Un enfoque multidisciplinario en cirugía pediátrica
Authors: Toapanta Naranjo María Rosa , Talledo López Gabriel Isidro , Rojas Malavé Betzy Paola , Jami Maldonado María Belén
Published: October 2024

Un onfalocele es un defecto de la pared abdominal fetal localizado en la línea media y de tamaño variable, cubierto por una membrana de amnios y peritoneo con gelatina de Wharton entre las dos capas, y que contiene contenido abdominal. Para llevar a cabo esta revisión bibliográfica, se realizó una búsqueda exhaustiva en las bases de datos PubMed, Scopus y Cochrane Library. Se utilizaron combinaciones de términos MeSH y palabras clave relevantes como "onfalocele", "cirugía pediátrica", "anestesia", "cuidados neonatales", "abordaje multidisciplinario". Se incluyeron estudios originales publicados en español desde el año 2000 hasta la fecha de la búsqueda, con el objetivo de identificar las estrategias anestésicas y de cuidados neonatales más utilizadas en la reparación quirúrgica del onfalocele, así como los factores que influyen en los resultados postoperatorios. La reparación quirúrgica del onfalocele es un campo en constante evolución. Los avances en la anestesia pediátrica y los cuidados neonatales han permitido mejorar significativamente los resultados, pero aún existen desafíos que requieren investigación futura.
Pytania o rolę filozofii w edukacji religijnej?
Authors: Pułtuski Marian
Published: October 2024

Celem artykułu jest refleksja na temat obecności edukacji filozoficznej w kontekście edukacji religijnej. Podstawowym punktem odniesienia analiz są rozważania Szymona Dąbrowskiego zawarte w książce Myślenie filozoficzne w edukacji religijnej. Spór Józefa Tischnera z polskim tomizmem w perspektywie pedagogicznoreligijnej. Historyczny spór Józefa Tischnera z przedstawicielami polskiego tomizmu pozwala na postawienie aktualnych pytań o rolę i miejsce edukacji religijnej w kontekście całego systemu edukacyjnego, jak też o znaczenie filozofii w obrębie myślenia religijnego. Odpowiedzi wskazują na niezbywalną rolę filozofii w obrębie teologii chrześcijańskiej i konieczność odejścia od jednego systemu filozoficznego (tomizmu) jako narzędzia do uzasadniania bądź reinterpretacji chrześcijańskiej doktryny. W analizach został uwypuklony aspekt niedoboru u polskich edukatorów religijnych (nauczycieli, księży, duszpasterzy) odpowiedniej (szerokiej) formacji filozoficznej. Wydaje się, że brak ten ma zasadniczy wpływ na kształtowanie się postaw fundamentalistycznych, odpowiedzialnych również za tworzenie intelektualnie powierzchownych interpretacji chrześcijańskiej tradycji, będących często w opozycji do osiągnięć nauk humanistycznych, jak i przyrodniczych.
American exceptionalism and godforsakenness in Hubert Selby jr.’s novels
Authors: Vikhrova K.
Published: October 2024

American author Hubert Selby Jr. develops the topic of painful addictions and moral and physical degradation. Although the author declared he was not religious, his novels are filled with biblical motifs and allusions emphasizing the opposition between justice and mercy. Selby’s characters – urban marginalized people – lose their own vision of life and existential control in pursuit of the deceptive “American dream”. Selby’s favorite artistic device – stream of consciousness and parenthetically broken writing style, create the effect of authenticity and aim to demonstrate the functioning of consciousness. The article analyzes the little-studied novels “The Room” and “Waiting Period”, which differ in time of writing but are related thematically and stylistically. The type of the central character – an unnamed middle-aged American who suffers from arbitrary government, bureaucracy and societal restrictions, also unites the novels. The characters punish those they consider malevolent by the available means: the prisoner in “The Room” does so in his dreams, the computer specialist in “Waiting Period” – in reality. Messianic ambitions allow them to consider themselves entitled to destroy the “enemies of humanity” – mainly the servants of the law. The characters seek support from higher powers, constantly crying out to God: the prisoner does not receive an answer, while the murderer constructs one himself, but both find themselves in a state of categorical godforsakenness.
On the concept of “function” in functional linguistics
Authors: Zubenko N.
Published: October 2024

The article considers the concept of “function” in linguistics as the essence of language which determines its nature. The purpose of the study is to define the main concept of language “function” in linguistics and to identify the invariant function of language in functional linguistics. Language, acting as an instrument of exteriorization both of thinking, knowledge and of consciousness, performs many functions. Thus, monofunctionalists believe that the fundamental function of language is its communicative function, which is a derivative for other functions, subfunctions and epifunctions. The interest of polyfunctionalists is primarily focused on determining the number of inherent functions of language and their hierarchical relationship and interdependence. Today, the question of the concept “function” semantic content in linguistics remains open, since there is no exact definition of the term primarily due to the “multidimensionality” of language itself; therefore, disputes arise in the definition of this concept both between linguistic schools and within the framework of one linguistic circle. On the basis of the conducted research, we give the definition of the concept of language “function” as the essence, the meaning (purpose) of language existence. The function, having predetermined the nature of language, forms both the structure of language and its elements, as well as the connections between these elements. In the process of language “functioning”, linguistic units are selected, which are capable of realizing a certain communicative task (meaning) that the subject of speech wants to achieve in the process of a communicative act. In addition, the article concludes that in the modern linguistic paradigm, which is based on the concept of “function”, the regulatory function acts as an invariant function of language. At the initial stages of the human development, the trigger that provoked the emergence of an iconic instrument for regulation of social interaction was the collision of the “due” and the “given”. In the course of evolution, “regulation” expands its scope from influencing the behavior to influencing the consciousness of a person and society by expanding their “ordinary” picture of the world.
Formulation of Criminal Policy on Sexual Violence Rehabilitation Based on Family Therapy with the Maqasid al-Sharia Principles
Authors: Iqbal Kamalludin Iqbal Kamalludin , Bhanu Prakash Nunna Bhanu Prakash Nunna
Published: October 2024

Conventional rehabilitation of victims of sexual violence, which only focuses on physical and psychological recovery has failed to handle the complexity of trauma experienced by victims. Therefore, this study discusses a new approach to the rehabilitation of sexual violence through Family Therapy integrated with the principles of Maqāsid al-Sharī'a. The research method uses normative with a philosophical, conceptual, and statute approaches, which analyzes various legal regulations, doctrines, and principles of Islamic law related to sexual violence and victim rehabilitation. The main data sources include laws, government regulations, fatwas, and court decisions, supported by literature reviews from legal journals, books, and scientific articles. The research findings show that the integration of Family Therapy with the principles of Maqāsid al-Sharī'a is a holistic rehabilitation model, which not only focuses on victim recovery but also pays attention to the roles and dynamics of the family in the rehabilitation process. This model also shows the relevance and practical application of the principles of Maqāsid al-Sharī’a in the recovery efforts of victims of sexual violence, as well as providing important contributions to criminal law policy and practice in the field of mental health and social. This study offers a new inclusive perspective based on humanitarian and religious values in handling victims of sexual violence.
Legal Discovery Method for Non-Muslim Heirs as Recipients of Wasiat Wajibah
Authors: Fawzi Ramdan , Rojak Encep Abdul , Mujahid Ilham , Sahid Mualimin Mochammad
Published: October 2024

The Islamic inheritance system has not fully accommodated the problem of inheritance distribution in the reality of society, especially the rights of non-Muslim heirs. Therefore, in several of its decisions, the Supreme Court of the Republic of Indonesia grants rights to non-Muslim heirs through wasiat wajibah. This study discusses wasiat wajibah in Islamic Law and Positive Law and the method of finding law used by Supreme Court judges in rulings on non-Muslim heirs. The research method uses normative juridical with a legislative, conceptual and case approach. The results of the study show that Islamic law (Quran, Hadith and Fiqh) has expressly regulated the provisions for the settlement of inheritance between heirs, the procedure for the division and transfer of the heir's property to the heirs, as well as the reasons for obtaining a share of the inheritance as well as the reasons that hinder the heirs. The method of legal discovery used by the Supreme Court Judges in the decision of non-Muslim heirs uses an extensive interpretation with a deepening of the Compilation of Islamic Law concerning wasiat wajibah for adopted children and adoptive parents. Wasiat Wajibah are a way out to get a share for non-Muslim heirs, because the recipients are not hindered due to religious differences. This decision is an extension of the Compilation of Islamic Law on wasiat wajibah . The Supreme Court's decision can be used as a reference for the Religious Court in deciding the same case.
Implementation of the Mobile Court Policy in Religious Courts On The Legal Political Perspective
Authors: Hazar Kusmayanti Hazar , Madiha Dzakiyyah Chairunnisa Madiha Dzakiyyah Chairunnisa , Dede Kania Dede Kania , Rajamanickam Ramalinggam
Published: October 2024

The mobile court policy is a way in which the court can provide the best and equal service to justice seekers by the principles of simplicity, speed and low costs. This research discusses the mobile court policy and its implementation in religious courts from a legal-political perspective. The research method uses empirical juridical. Interviews were conducted with judges and litigants in mobile courts at three Religious Courts, i.e.: Tasikmalaya, Soreang and Subang. Document studies are used to search for regulations and related case documents. The research findings show that the problems with implementing mobile courts in the three religious courts are: the infrastructure for mobile courts is still inadequate because they are held outside the building and far from the Religious Courts; public education is still low, they do not even have an understanding of the law and the judicial process; the judge also acts as a mediator in the mobile court and; case settlement was only carried out twice. This condition is increasingly problematic because most cases are divorces, so the facts in the trial are less accurate and affect the quality of court decisions. An interesting finding is that the mobile court is an effort to provide access to justice for people in unreachable areas by the Religious Courts and as a solution to reduce the divorce rate. However, in fact it increases the divorce rate in the target area. People think that the mobile court makes it easier for them to decide on divorce.
Application of Very Urgent Criteria in The Marriage Dispensation Norms for the Protection of Children: Analysis of Jasser Auda's Theory
Authors: Asmuni Asmuni , Rezha Nur Adikara Rezha Nur Adikara
Published: October 2024

The renewal of marriage legal norms regarding the minimum age limit for marriage with the criteria of "very urgent" has given rise to disparities in the judges' consideration when applying decisions on marriage dispensation cases,  at the same time increasing the number of child marriages in the religious courts. This research discusses two main patterns, i.e.: the application of the "very urgent" criteria in marriage dispensation cases in the Religious Courts and; the relevance of " very urgent"  criteria toward protecting women and children. The theory of the maqāṣid syarī'ah system by Jasser Auda was used as an analytical tool from a contemporary jurisprudential perspective. This research uses a normative juridical approach with data collection techniques using library research. The results of the study show that the form of application of Jasser Auda's maqāṣid syarī'ah system theory in understanding the "very urgent" criteria can at least be analyzed from 4 (four) four conditions that may occur in children whom marriage dispensation is requested,i.e: pregnancy in the child, the potential for free sex, the potential for unregistered marriages, as well as the potential for continuity of education for children who apply for marriage dispensation. These conditions are linear with the six features of Jasser Auda's maqāṣid syarī'ah system,i.e.:   the cognitive nature of the system, wholeness, openness, interrelated hierarchy, multi-dimensionality, and focus on goals.  In addition, the "very urgent" criteria norm is linear with the objectives of regulations regarding child protection and the elimination of domestic violence.