bluuebunny/crossref_metadata_2025 huggingface dataset:
Structure-signal relationships of the δ-opioid-receptor (DOR)-selective agonist KNT-127 - Part I: Impact of the morphinan skeleton on the G-protein-biased DOR agonism
Authors: Kajino Keita , Sugai Tomoya , Kise Ryoji , Suzuki Riko , Tokuda Akihisa , Sekiya Yuki , Kakumoto Tomoya , Katamoto Risako , Kutsumura Noriki , Nagumo Yasuyuki , Inoue Asuka , Saitoh Tsuyoshi
Published: October 2024

The δ-opioid receptor (DOR) is a promising target for developing novel analgesics due to its lower risk of causing side effects compared to the μ-opioid receptor (MOR), which is commonly associated with dependence, respiratory depression, and other adverse effects. KNT-127, a DOR-selective agonist with a morphinan skeleton, offers analgesic and antidepressant benefits without inducing convulsions at therapeutic doses, unlike the conventional DOR agonist SNC80. While previous studies have suggested that KNT-127 exhibits reduced β-arrestin recruitment, a signaling pathway implicated in adverse opioid effects, the ligand structural basis for this biased signaling remains unclear. In this study, we explored the structure–signal relationships of KNT-127, focusing on its quinoline moiety. Modifying the quinoline moiety by removing the aromatic rings reduced DOR selectivity and potency in relation to G-protein activation while diminishing both the potency and efficacy of β-arrestin recruitment. These results suggest that the morphinan skeleton is critical for reduced β-arrestin recruitment, while the quinoline moiety differentially modulates G-protein activation and β-arrestin recruitment. Together, our study thus provides structural insights into the G-protein-biased agonism of DOR agonists, guiding the design of safer DOR-targeting therapeutics.
Rapid quantification of methane in water with parts-per-billion sensitivity using a metal-organic framework-functionalized quartz crystal resonator
Authors: Malhotra Jaskaran Singh , Duarte Clara Davila , Reichert Per , Krishnan Deepthy , Sundberg Jonas
Published: October 2024

Wetlands and water bodies are essential sources of methane emissions, a greenhouse gas that is roughly 25 times more potent than carbon dioxide. However, the biological production, fluxes, and interplay between methane and carbon dioxide due to microbial activity must be better understood. This is primarily attributed to the lack of sensor technology that can provide the required spatial and temporal resolution. Herein, we demonstrate how a porous metal-organic framework material can be used to create a sensor to quantify dissolved methane. The sensor is based on a quartz crystal microbalance, which measures methane adsorption using a quartz resonator functionalised with the material. Combining quartz crystal microbalance and the porous material yields fast response rates and high sensitivity. This is due to a favourable partitioning coefficient between the empty pores of the material and the aqueous phase, promoting rapid migration of dissolved methane into the material. The result is a sensor system that achieves equilibration and response times below 60 seconds with parts-per-billion sensitivity. A fully functioning prototype has been designed, built and evaluated to demonstrate real-life applicability, demonstrating sense response using spiked lake water. The modular nature of metal-organic frameworks opens possibilities for designing materials for selective sensing of other aqueous analytes. Thus, our study showcases the importance of new materials for methane sensing and general environmental monitoring.
CONSTRUCTION AND BENEFIT ESTIMATION OF BLUEBERRY SIGHTSEEING ORCHARD
Authors: Hu Jingzhi , Yang Chunhua , Yang Haiqing
Published: October 2024

In response to the characteristics of sightseeing orchards, blueberry species with early fruiting, environmental hazards, and high labor intensity were selected. From the aspects of variety selection, orchard construction, business model, and benefit evaluation, a exploration was conducted on blueberry sightseeing orchards, and a relatively reasonable evaluation was conducted on this new industry. The input-output ratio of open-field cultivation in the blueberry sightseeing garden during the 5a estimation period is 1:3.3, and the input-output ratio during the high-yield period is 1:12; The input-output ratio of facility cultivation is 1:2.1, and the input-output ratio during the high yield period is 1:16, indicating high economic benefits.
A Comprehensive Review of Disease Prediction Using Internet of Things and Artificial Intelligence
Authors:   Institute of Management Studies & Information Technology, Aurangabad (M.S.), India., Mir Arif Asif Ali Ali
Published: October 2024

This review article examines the remarkable impact of combining the Internet of Things (IoT) and Artificial Intelligence (AI) on illness prediction and diagnosis. Through the application of AI's profound cognitive abilities and IoT's ongoing data collection, the integrated approach improves symptomatic precision and speed, providing comprehensive insights into patient health. The study looks into high-level AI techniques, such as deep learning and machine learning that are used to process and analyze medical data. It also looks at how these techniques are applied to medical imaging and disease prediction. In today technologically advanced world, it also tackles the challenges and ethical considerations surrounding information security and protection. This convergence of IoT and AI promises to revolutionize healthcare by opening up new avenues for precise and pro-active medicinal interventions.
Non-binary cryptographic functions for design of blocks of substitutions of symmetric cipher
Authors: Goncharov Nikita , Kuznetsova Tetiana , Kuznetsov Alexandr
Published: October 2024

In the paper considers the traditional way of describing S-blocks through a set of component Boolean functions.non-binary functions were used to represent s-blocks compactly and formalize the method of generating them. Some results of computational search for S-blocks were presented using the proposed approach, where the generated S-blocks have improved properties based on non-linearity and autocorrelation indicators.
TAXONOMIC DIVERSITY OF THE RANUNCULACEAE FAMILY IN THE TOBOL-ISHIM AND TURGAI FLORISTIC DISTRICTS OF KAZAKHSTAN
Authors:   AL-FARABI KAZAKH NATIONAL UNIVERSITY, Sultangazina Gulnar , Kuprijanov Andrey , Simanchuk Yelena
Published: October 2024

The purpose of the work is to assess the taxonomic diversity of the Ranunculaceae family in the Tobol-Ishim and Turgai floristic regions of Kazakhstan. The work is based on the results of field research (2018-2023), conducted using the traditional route reconnaissance method. Herbarium materials on this family stored in institutions were critically examined: Herbarium of the Institute of Botany and Phytointroduction, Almaty (AA), Herbarium of the Pedagogical Institute named after. U. Sultangazina, Kostanay (KSPI); MSU, Moscow (MW); Herbarium of Higher Plants of the Botanical Institute named after. V. L. Komarova (LE); Herbarium of the Institute of Plant and Animal Ecology, Yekaterinburg (SVER).
Features of keeping saiga young in the nursery
Authors:   AL-FARABI KAZAKH NATIONAL UNIVERSITY, Begilov Talgat , Grachev Yuriy , Eszhanov Birlikbay , Sarsenova Bibigul
Published: October 2024

Saiga (Saiga tatarica tatarica L., 1766) is a highly ancient species, a migratory herd endemic to the arid steppes of Eurasia. Unfortunately, like many other species, saigas have not been immune to the threats of wild hunting, poaching, anthropogenic disturbances, and habitat loss. Among the ungulates in Kazakhstan, saiga antelopes, specifically Saiga tatarica tatarica L., 1766, hold the largest population. Drawing from global experience, it`s evident that establishing breeding programs for the last remaining individuals of endangered species in specialized enclosures and zoos is crucial for preserving their genetic diversity. Thus, there is a pressing need to breed saigas in controlled environments, alongside comprehensive programs aimed at conserving their gene pool and potentially reintroducing selected groups into both existing and previously extinct natural habitats, which have dwindled dangerously over the past century. This article presents experiments conducted worldwide, including in Kazakhstan, on maintaining saigas in artificial conditions. It synthesizes information from literature, the authors` research, and their direct involvement in managing saigas at a newly established nursery in the Ulytau region since 2022. The article delineates the entire process, from removing saiga calves from their natural habitat shortly after birth to their care and maintenance in specialized enclosures. It delves into various aspects of their grazing behavior and the challenges, injuries, and illnesses they encounter before reaching adulthood. Furthermore, the article scrutinizes the experience of artificially feeding saiga calves with milk substitutes, affirming the feasibility of successfully rearing these animals in nurseries under specific conditions. Additionally, it presents findings from studies on saiga behavior in artificial environments, shedding light on their adaptability and needs in captivity.
SARS-CoV-2 Variants in Lebanon: Insights from the 2022-2023 Flu Season
Authors:   ,   Lebanese American University -- Chouran Beirut, Al Kodsi Ibrahim
Published: October 2024

COVID-19 has caused more than 7 million deaths and 775 million positive cases, ranging from asymptomatic to deadly. The causative agent, SARS-CoV-2, has a positive single-stranded RNA genome. The spike protein, expressed on the surface, binds to host cells. Mutations, especially in the S gene, defined viral fitness and caused the emergence and worldwide spread of variants. Variants of concern (VOC) included Alpha, Beta, Delta, Gamma, and most recently Omicron. Co-infections of SARS-CoV-2 with influenza viruses were detected and led to increased infectivity and SARS-CoV-2 viral load. This study’s aim was to track the variants circulating in Lebanon over the 2022-2023 flu season to assess the trajectory of the pandemic. A total of 222 RNA samples were collected, reverse transcribed, amplified, and sequenced using the Nanopore MinION sequencing platform. Genomes were generated using the artic nCoV-2019 bioinformatics protocol. We detected 53 Omicron subvariants, with XBB.1.5 (17.59%), XBB.1.42 (10.05%), and XBB.1.42.1 (9.05%), being the most common. Apart from the most frequently detected clades, which were 22F (22.97%), 23A (22.07%), and 23D (17.57%), the prevalence of subvariants and clades varied over time. There was a notable emergence and dominance of XBB subvariants starting in February 2023. A27S (99.1%), D614G and D796Y (96.85%) were the top three most detected S gene mutations, while S135R and P3395H in ORF1a, and P314L in ORF1b, were seen in all sequenced genomes. XAY.1, a Delta-Omicron recombinant, had mutations not typically detected in other subvariants. Phylogenetic analysis was done for the subvariants that had very low worldwide prevalence including BN.4, XAY.1 and XCC, and for XBB.1.42.1, which formed a high proportion of the sequenced genomes in this study despite low worldwide prevalence. The phylogenetic analysis revealed travel transmission of XAY.1 and XCC, and local introductions of mutations upon circulation. This study is significant for its role in detecting and analyzing the variants and mutations that have influenced the course of the pandemic. Consistent sequencing and surveillance are essential for identifying circulating variants and mutations, which in turn facilitate more effective spread prevention, treatment options, and vaccination strategies.
Liberation After/life: Narrative Connectivity and Black Women’s Cancer Mortality
Authors: Weiss Alexandra
Published: October 2024

This paper explores the hauntology of cancer mortality in the context of the Black feminist struggle for liberation. Looking at the lives and deaths of Audre Lorde and Henrietta Lacks, I argue that transcendent narratives, and the connections they draw between past and future, living and dead, offer a degree off liberatory flight in the face and aftermath of terminal cancer. Narrative connectivity resists the silencing, medicalizing, and structural violence of cancer in the context of a racist medical system, by allowing for Black women, their families, and those who love them to tell their stories, reaching other Black women, rather than being flattened into patients, into single moments in time, into resources for extraction. Instead, through a continuing care network of readers and family, Lacks, Lorde and millions of less famous but no less important Black women who have died from cancer, live on in these moments of interconnectivity through memory, freed from the boundaries of time itself.
Memories of Futures: The Temporalities of Organ Transplantation
Authors: McCormack Donna
Published: October 2024

This photographic essay explores experiential meanings of haunting in deceased organ transplantation. Where life is often figured as presence and death as absence, this piece delves into how one may be both dead and alive, present and absent. In so doing, it creates space for how death may be vitality and how afterlives continue in the form of collective being. The photographic essay, as a genre, is examined as a turning towards the more-than-one in the self and death as constitutive of life. Photography becomes one way to foreground haunting as both material presence and visual absence. In turn, double exposure opens up the possibility of deceased donor presence and absence in the form of disappearing bodies, body doublings, two beings in and of the self, and ecologies in and of bodies. Haunting – through the technique of double exposure and this uncertain meeting of language and images – creates the possibility of giving visual presence to the dead in the self, to deceased organ donors in transplanted bodies. In so doing, the essay suggests that haunting is integral to the experience of transplantation, to transplant temporalities, where pasts are unknowable and lived, and futures are simultaneously foreclosed and yet to be realized.
Living with the Pharmakon: A Call for Futurity
Authors: Hudson Stephanie
Published: October 2024

This perspectives piece explores the tensions between the toxicity of psychoactive medications and lack of access to quality treatment and specialist nephrology care for people with, what has been defined by the medical community as, bipolar disorder and schizophrenia. What becomes of livability if the system of medicine creates harm in supposed remedy while refusing remedy and creating harm? This essay calls out the limits this contradiction places on the possibilities for life, and it is concerned with what kinds of futures materialize in living with the pharmakon.
Flowing and Flown: Transition and the Crafting of Possible Futures
Authors: Tanio Nadine , Malik Sarah
Published: October 2024

In this multimodal essay, we share a short film about the experience of growing up as a pediatric heart transplant recipient and reflect on our collaborative project. Our work reveals the tensions associated with coming of age in the interstices of transplantation, disability, and difference, while living with existential uncertainty and the rituals of care that structure daily life. Through filmmaking we seek to build knowledge ecologies: communities for learning and living within the transitory spaces of modern medicine.
The Impact of Environmental Assessment of Green Innovation on Corporate Performance and an Empirical Study
Authors: Yang Ziru
Published: October 2024

Green innovation is an important part of environmental evaluation, which will promote low-carbon economy and directly or indirectly impact enterprises' development performance. The research on environmental evaluation of green innovation mainly focuses on the theoretical aspect, elaborates on waste recycling, social responsibility, etc., lacks practical research methods, and ignores the impact of green innovation. In order to further study the actual impact of green innovation on environmental assessment and the promotion of enterprise performance, this paper proposes a factor regression analysis method. First of all, as well as related literature, the content and indicators of green innovation are extracted, the indicators are standardized, and the invalid indicators are eliminated. Then, a regression analysis of enterprise performance is carried out according to the indicators to find out the main influencing aspects. Finally, the problematic indicators were analyzed, the causes of the indicators were explored, and relevant countermeasures were proposed based on the regression results. The results of the study show that social supervision (X32), government supervision (X31), environmental report disclosure (X11), profit evaluation system (X23), production competitiveness (X21), Environmental technology (X13) and investment (C) are the main influencing indicators, and the degree of enterprise performance has a significant impact. Therefore, enterprises should start from the aspects of environmental report disclosure, social supervision, and profit evaluation system, and formulate measures and countermeasures to improve the role of environmental assessment in green innovation in promoting enterprise performance.
Integrating Biotechnology Virtual Labs into Online Education Platforms: Balancing Information Security and Enhanced Learning Experiences
Authors: Wu Zhenzhen
Published: October 2024

Information and Communication Technology (ICT)-enabled virtual labs to offer an online educational experience utilizing computer-based teaching resources (scenes, simulations, and remote-trigger activities) to enhance the active studying experience. This article discusses a project established to improve university and college instruction, which is evolving into a sophisticated training setting for addressing the geographical, social, and financial obstacles in the interdisciplinary domain of science learning, particularly in India. A pedagogical assessment was conducted through seminars and online comments to examine the function of biotechnology simulations in the contemporary school system, involving various student and instructor groups from many Indian institutions. This chapter discusses the utilization of biotechnology virtual laboratories in biotechnology to enhance teaching and learning processes through user involvement and how these technologies successfully mitigate the challenges of laboratory schooling, particularly in remote regions. The findings from user feedback evaluation indicate that online laboratories are advisable to incorporate into blended classes in giant classrooms to improve self-sufficient instruction and enhance virtual laboratory education in isolated and financially disadvantaged institutions.
Comparative Study on Physical Education Learning Quality of Junior High School Students based on Biosensor Network
Authors: Geng Yu
Published: October 2024

A biosensor is an innovative analytical detecting instrument utilized across many sectors due to its sensitiveness, precision, ease of use, and capability for in vivo surveillance via the internet. Biosensors provide extensive applicability in sports science, facilitating rapid physical activity tracking. This will emerge as a significant approach and technology for sports teaching and scientific study in sports. This study aims to evaluate the variations in bodily schooling mastering exceptional junior center college students underneath exceptional rearing modes and to use the specialist gadget primarily based on the synthetic neural community for analysis. The contrast index of gaining knowledge first-rate is an index gadget composed of numerous one-of-a-kind parameters. It is tough to be particular and has apparent fuzziness due to its giant variety and complicated content. There are many obstacles in fixing the contrast hassle using the skill of frequently used assessment methods. This paper proposes an assessment mannequin of junior excessive college students' bodily schooling mastering excellent primarily based on a synthetic neural community specialist system. The purpose of this method is to put processed records in a community and generate results by computation, other than by manual computing. It decreases the number of people in the comparative procedure, enhances the credibility of the assessment, and makes the comparative result more enormous and objective. However, the neural community additionally has some limitations. It can obtain international optimization by continuously editing the connection weights between neurons; however, making the community fall into neighborhood minima is convenient.
Construction of Cross-Border E-Commerce Supply Chain of Agricultural Food Products based on Blockchain Technology
Authors: Kong Yuxia , Suntrayuth Sid , Lin Feng
Published: October 2024

The European Union has for several years been a critical export market and a significant source of imports for us, and the US has, in general, kept closed domestic players vis-à-vis the EU. However, given the variety of alternative market conditions and EU forms, the attractiveness of cross-border electronic commerce (CBEC) between China and the EU has fallen far short, and there is an urgency to create a harmonious and uniform environmental environment for the exchange of information to facilitate the convenience of cross border electronic commerce. This study examines the CBEC of agricultural goods and its cooperative management technique inside the logistical supply chain. It details the complete transaction model and fundamental components and presents a theoretical framework for the CBEC distribution network. The Block Chain can effectively bridge the obstacles to CBEC in Chinese and European countries by providing a valuable source of benefits from decentralization, trust, anti-counterfeiting, consensus, innovative procurement, and extraordinary techniques, which will provide the basis for building an Embedded Provider Platform for Electronic Commerce, Risk Management System for Deposit Risk Management, Supply Chain (SC) Management System, Cross Border Logistic System, Customs Supervisory Computer, etc. The paper examines how blockchain science can assemble CBEC SC computing devices for agricultural goods between global places in Central Europe. Firstly, it expounds on the theory and characteristics of the blockchain. Then, the paper introduces the troubles that arise in the CBEC supply chain. Then, the thesis proposes a blockchain-based CBEC SC structure, analyzes the aspects and relations among each other, and provides a framework for developing a China-European blockchain cross-border electronic Commerce. The test findings indicate that the system satisfies the criteria for tracking agricultural items and enhances fresh farm commodities' quality and security.
Investigando os processos de objetivacao a partir da análise de atividade na perspectiva da Teoria da Objetivação
Authors: Santos Robson de Oliveira , Silva Luciana Gomes da , Medeiros Vanessa Chaves
Published: October 2024

Este estudo teve como objetivo analisar os meios semióticos e suas relações com os processos de objetivação presentes no desenvolvimento de uma atividade sobre o processo de análise na Teoria da Objetivação (TO). Para tanto, este trabalho teve como referencial teórico e metodológico os estudos desenvolvidos sobre a Teoria da Objetivação de Luis Radford. O percurso metodológico envolveu uma breve revisão bibliográfica, descrição da metodologia e apresentação dos resultados. A pesquisa consistiu na observância, por parte de uma turma de Pós-Graduação, da presença dos meios semióticos essenciais para o processo de objetivação contidos no trecho da transcrição de uma atividade aplicada por Paiva (2019). Durante o desenvolvimento das atividades, os pós-graduandos analisaram e identificaram os meios semióticos e os indícios dos processos de objetivação presentes no trecho. Assim, o estudo apontou a importância da observância dos meios semióticos em uma atividade de análise na TO e a sua relação com os processos de objetivação, assim como a importância da ética comunitária como base indissociável do processo denominado de labor conjunto. Dessa forma, compreende-se que o estudo pode oferecer subsídios para futuras investigações relacionadas à TO, e que se venham a agregar-se às demais pesquisas na Educação Matemática.
A FORMAÇÃO DO PROFESSOR DOS ANOS INICIAIS Á LUZ DA LEGISLAÇÃO
Authors: Ramos Glória Aparecida , Lima Laurícia Rodrigues Nascimento Tibério de , SILVA ROSA JUSSARA BONFIM
Published: October 2024

A busca pela qualidade da Educação como um direito de todos, envolve variados fatores que devem nortear a formulação de políticas educacionais, dentre eles: o reconhecimento do valor da profissão docente pela sociedade que perpassa pela formação, condições de trabalho e salário digno. Nessa perspectiva, a pesquisa buscou: analisar o processo histórico da formação de professores e as diretrizes que norteiam essa formação. Como objetivos específicos, pretendeu-se: apresentar a evolução da formação docente e sua influência para a qualidade do ensino; refletir sobre os processos de formação e valorização docente e enfatizar as possibilidades de uma formação docente sólida e multidisciplinar. Para tanto, foi necessário realizar uma pesquisa bibliográfica e de campo para atingir os objetivos deste trabalho. Salienta-se que, não basta o domínio de conteúdo específicos ou pedagógicos para alguém se tornar um bom professor, também não é suficiente estar em contato apenas com a prática para se garantir uma formação docente de qualidade. Portanto, a prática pedagógica não é isenta de conhecimentos teóricos e que estes, por sua vez, ganham novos significados quando diante da realidade escolar.
THE CONTENT OF ACCESSIBILITY OF MEDICAL CARE IN UKRAINE
Authors: Bilan Stanislav
Published: October 2024

The article is devoted to the study of the substantive content of the concept of 'accessibility of medical care' under Ukrainian legislation. The author considers the accessibility of medical care as a constitutional right of citizens and as one of the principles of healthcare. The author identified the elements of accessibility to medical care such as: personal accessibility, territorial accessibility, and financial accessibility. However, all these elements are not absolute but are assessed from the perspective of the category of justice, particularly the fair distribution of healthcare resources among citizens. Thus, it is not about the absolute right of a person to medical care and the absolute obligation of the state to provide it, but it concerns the ability of every citizen to seek medical assistance and receive necessary timely treatment regardless of financial capability, place of residence, or time of seeking help, and only taking into account the health status and needs of the patient.
CLAVIER URTEXT AS AN ENSEMBLE SCORE IN THE ARTISTIC CULTURE OF BAROQUE
Authors: Zhuxiang Ding
Published: October 2024

This study explores the adaptation of Domenico Scarlatti’s keyboard sonatas into Baroque ensemble music, emphasizing their transformation into quasi-partitures. Utilizing a detailed chronological framework, historical context, and stylistic analysis, the research draws upon key scholarly sources to examine how Scarlatti's keyboard works can be reinterpreted for various instrumental combinations. The study highlights that Scarlatti’s sonatas, when analyzed through the lens of Baroque ensemble practices, reveal significant opportunities for adaptation into ensemble settings, offering new insights into their structural versatility. The findings suggest that Scarlatti’s music not only reflects Baroque compositional techniques but also serves as a rich resource for understanding ensemble arrangements and performance practices. Future research could further investigate specific case studies of Scarlatti’s sonatas in ensemble settings to refine these findings and explore their practical applications.
INSTRUMENTS FOR PREVENTING MEDIA DEPENDENCY AND FAKE NEWS USING AI
Authors: Kyianytsia Ievgeniia
Published: October 2024

The article examines the concept of media dependency and the actualization of media surfing problems in all its variations and possibilities of preventing its impact on human activity. The work also outlines the influence of media dependency on the skills of recognizing fake news and prevent its impact on psychological and mental health, the loss of which leads to negative consequences for the functioning of society as a whole. The classification of fakes, particularly based on geographic, temporal, and audiovisual facts that may be turned into disinformation using manipulative techniques, enables understanding the necessity of continuous updating media literacy programs that promote critical thinking, analysis, and evaluation of media content to prevent manipulating information. In turn, AI-based algorithms can monitor the spread pace of fake news on social media platforms and influence correction processes by limiting the reach of such content. Programs like Google Digital Wellbeing and Apple Screen Time provide insights into media usage patterns and help set limits on gadget usage time by sending notifications about the need for breaks and switching to offline activities. The article also discusses preventive measures of avoiding media dependency and the concept media hygiene, adherence to which may strengthen media immunity to the influence of fake news.
THE ROLE OF THE CONSTITUTIONAL COURT OF UKRAINE IN ENSURING THE LEGITIMACY OF THE PARLIAMENT AND PRESIDENT'S POWER
Authors: Murska Marta
Published: October 2024

The article examines the role of the Constitutional Court of Ukraine in ensuring the legality of the activities of the President of Ukraine. The constitutional and legal status of the Court, its functions and powers to control the constitutionality of presidential acts are analyzed. Based on Article 103 of the Constitution, the president is elected for 5 years. But taking into account the continuity of the exercise of state power in Ukraine, there is a clear record in the first part of Article 108 that the president exercises his powers before the newly elected president of Ukraine takes office. This means that his duty is to perform the functions of the president, there is no other option. This president should be replaced only by his successor – not an acting president, but a full-fledged president, who should be elected in the next free democratic elections. The purpose of this article is to analyze the constitutional powers of the President and the Parliament of Ukraine, the specifics of their activities under martial law, as well as the development of recommendations for improving legislation to ensure the continuity and efficiency of state administration.
Quantitative estimation and validation of Alectinib hydrochloride drug substance using quantitative nuclear magnetic resonance spectroscopy
Authors: Raghuvirsinh Parmar  , Sadhana Rajput  , Arivozhi Mohan
Published: October 2024

Nuclear magnetic resonance spectroscopy has been recently used for quantitative estimation of drug substance which has numerous merits in pharmaceutical applications when compared to traditional methods of chromatography. Present study focuses on method development and validation of quantitative proton nuclear magnetic spectroscopy method for estimation of alectinib hydrochloride drug substance. This method involves use of internal standard in presence of alectinib hydrochloride. For quantitation, 1H NMR signals at 8.4 ppm and 6.7 ppm corresponding to analyte proton of alectinib and ethyl 4-(dimethyl amino) benzoate internal standard respectively were used. Moreover, this method was validated as per ICH guidelines for accuracy, precision, linearity, limit of detection, limit of quantitation, range and robustness. Assay estimation by Q-NMR is facile and time-efficient which does not require reference standard of analyte and yet accurate and precise alternative as compared to estimation by other chromatographic techniques.
Histopathological patterns of gastrointestinal lesions: Insights from a Tertiary Care Centre
Authors: Meghna Yadav  , Anjana Arya  , Nitesh Mohan
Published: October 2024

Gastrointestinal (GI) lesions are a common clinical concern with significant implications for patient health, particularly in cases involving malignancies. Understanding the histopathological spectrum of these lesions is crucial for improving diagnosis and treatment strategies. This study aimed to investigate the histopathological spectrum of gastrointestinal lesions at a tertiary care center, focusing on the prevalence of different types of lesions and their distribution according to clinicopathological parameters. Methods: This cross-sectional study was conducted over a one-year period, from November 2022, to October 2023, at the Department of Pathology, Rohilkhand Medical College and Hospital, Bareilly, UP. A total of 100 patients with clinically suspected GI lesions were included. Biopsy specimens were collected and analyzed using standard histopathological techniques. The data were analyzed to determine the frequency of different types of GI lesions and their correlation with clinical features. Results: The study found that inflammatory lesions were the most prevalent, accounting for 57% of the cases. Malignant lesions were identified in 35% of the patients, with adenocarcinoma being the most common malignancy, especially in the colon, representing 57.14% of malignant cases. The small intestine was the most frequently affected anatomical site, involved in 33% of the cases, followed by the appendix at 22%. The majority of patients were middle-aged males, with a significant correlation between the type of lesion and gender. Conclusion: This study highlights the significant burden of gastrointestinal lesions, particularly inflammatory and malignant lesions, in the studied population. The findings underscore the importance of early detection and intervention to prevent the progression of these lesions, particularly in high-risk groups such as older males. Enhanced clinical management strategies are needed to address the substantial impact of GI pathologies on patient health.
The integration of Artificial Intelligence (AI) into undergraduate education
Authors: Waleed Salameh
Published: October 2024

The incorporation of AI as a tool in educating undergraduates is a promising concept held with a great potential of positively influencing the learning process, learners’ experiences and institutional management systems. At the same time, it lifts essential moral issues that ought to be adequately addressed into new stages. The aim of this paper is to review literature on the subject of ethics in the application of AI in the context of an undergraduate degree program. Algorithmic choices for instructional design are another relevant ethical concern along with privacy and data protection, practitioners’ responsibilities, and the requisite levels of transparency, as well as the depersonalized and mechanized nature of learning management systems. The analysis reveals how the use of AI technology might deepen the social and economic inequities the students have described and how difficult it is to keep the students’ trust in cases when AI technology is not transparent. Also, the paper raises concerns related to several ethical issues and their consequences to students, teachers, and institutions on how strong ethical principles and policies to apply AI in the educational sectors. It is established that the use of AI in the delivery of undergraduate education has the potential of enhancing the effectiveness of learning(). Nonetheless, it is recommended that the integration of AI in the classroom must be done with reference to several ethical concerns so as to prevent further negative ramifications of the technology.
Handwashing practices and associated socio-demographic factors among primary school students in Cox's Bazar, Bangladesh: A cross-sectional study
Authors: Sujit Kumar Banik  , Susmita Saha  , Munmun Akter  , Md Imran Bin Kayes  , Moshfequa Rahman Khan  , Abu Ansar Md Rizwan
Published: October 2024

Background: Hand hygiene, especially handwashing, is a critical preventive measure against infectious diseases, which pose a significant health burden, particularly in low- and middle-income countries like Bangladesh. Inadequate hand hygiene can exacerbate the spread of diseases, significantly affecting children’s health and community wellness. Aim: This study aimed to evaluate handwashing practices and identify socio-demographic factors affecting these practices among primary school students in Ukhiya, Cox's Bazar, Bangladesh. Methods: Utilizing a school-based cross-sectional design, the study was conducted across ten government primary schools selected through random sampling. A total of 400 students participated, with data collected via a structured questionnaire focusing on various handwashing scenarios. Handwashing practices were scored, and socio-demographic factors were analyzed using Pearson’s chi-square test and logistic regression. Results: The study found that 75% of students practiced adequate hand hygiene. Factors significantly influencing handwashing practices included the educational level of parents, the quality of school handwashing facilities, receipt of handwashing training, and the student’s knowledge about hand hygiene. Notably, students with better-educated mothers and those attending schools with superior handwashing facilities demonstrated better hand hygiene practices. Conclusion: While a significant majority of students adhered to proper handwashing practices, there remains a need to improve handwashing behaviors among a notable minority. Enhancing parental education, upgrading school handwashing facilities, and ensuring regular hygiene training are essential steps toward bolstering student hand hygiene practices in Cox's Bazar and similar settings.
The relationship between financial performance, firm size, leverage, and corporate social responsibility: A case study of Accenture Plc
Authors: Akinbola Olawale  , Bolaji Akinbola
Published: October 2024

This study examined the relationship between financial performance, firm size, leverage, and Corporate Social Responsibility (CSR) at Accenture Plc. Using a quantitative correlational research design, the research utilized secondary data from Bloomberg (2014-2023) and analyzed the variables through a multiple regression model. Financial performance (measured by Return on Equity), firm size (total revenue), and leverage (debt-to-assets ratio) were the independent variables, while CSR was measured through Environmental, Social, and Governance (ESG) scores. Findings revealed that firm size had a significant positive relationship with CSR, suggesting that larger firms are more likely to engage in CSR activities. However, there was no statistically significant relationship between Return on Equity (ROE) and leverage with CSR scores. These findings aligned with previous research on the impact of firm size on CSR but differed in terms of ROE and leverage's influence on CSR engagement. The study concluded that Accenture's revenue capacity positively influenced its CSR activities, while leverage and financial performance, as measured by ROE, did not have a significant impact. Recommendations were made for policymakers to consider encouraging larger firms to enhance CSR engagement through fiscal incentives.
Incorporating Islamic Stories in Narrative Text Teaching Material for Islamic Boarding School Students
Authors: Saud Indah Wardaty
Published: October 2024

Research focusing on incorporating religious values into language learning has recently grown, as reflected in the increasing number of related studies. As the world's largest Muslim-majority country, Indonesia has a crucial role in integrating Islamic values into education, particularly in the context of teaching English as a foreign language. This research aimed to develop an English module that contains Islamic values in narrative text material for students at MTs that is valid, practical, and effective. The Islamic values that have been integrated are prophetic stories and Islamic history which are very closely related to the environment of the Islamic boarding school for students at MTs Assalam and MTs Darul Istiqomah Manado. This research is a development research using the ADDIE model which consists of analysis, design, development, implementation, and evaluation stages. The subjects of this research were 2 English teachers and 35 class IX students at MTs Assalam and Darul Istiqomah. Data collection techniques used included interviews, observation, and questionnaires. The material and media design experts have validated the module development with an average result of 90.5%, which means it is very valid. Furthermore, validation of users obtained data of 84.16% (very practical) from student users and 91% (very practical) from English teacher users. Therefore, it concluded that the English module containing Islamic values in Narrative text material meets practical criteria and can help teachers and students achieve learning goals.
The Impact of the Best Speaker Program and Students’ Learning Interest on Arabic Speaking Skills
Authors: Saleh Ummu Sulaimah , Abidin Munirul
Published: October 2024

The best speaker program and interest in learning have a significant influence on improving Arabic speaking ability. This study analyzes the effect of the best speaker program and interest in learning Arabic on students' speaking ability at the Naatiq course institution. This research is Quantitative research with a type of research in the form of correlational research, namely to measure the relationship between the implementation of the best speaker program (X1) and interest in learning (X2) on students' Arabic speaking ability (Y). Data collection techniques used in this study are questionnaires and speaking ability tests. The data collected is then analyzed using the Pearson validity test, reliability test, and multiple linear regression analysis through the SPSS version 25 statistical program to determine the significance level of each variable's relationship. The results showed that (1) The best speaker program has a positive and significant influence on students' Arabic speaking skills at the Naatiq course institution, (2) Interest in learning Arabic has a positive and significant effect on students' Arabic speaking ability at Naatiq course institution, (3) Simultaneously, the best speaker program and interest in learning Arabic have a positive and significant influence on students' Arabic speaking ability at the Naatiq course institution. This study implies that the implementation of the best speaker program and increased interest in learning can simultaneously significantly improve students' Arabic speaking ability.
Intercultural Communicative Competence: A Pedagogical Critic in English Language Teaching
Authors: Daud Enni Akhmad , Basalama Nonny , Hidayati Otoluwa Moon , Taufiqrianto Dako Rahman
Published: October 2024

Research about Intercultural Communicative competence with its relation to English language has been discussed among scholars. However, the discussion about how to integrate it into teaching and learning English in the classroom remains lacking exploration. This research investigated the lecturers’ ways of integrating ICC components in teaching and learning English. This research involved four lecturers of the English Education Department IAIN Sultan Amai Gorontalo which was taken purposively. The participants were the lecturers who taught receptive and productive skills. It employed a descriptive qualitative method. Data were collected through interviews and observation sheets and analyzed using thematic analysis. It found three lecturers’ ways of integrating ICC in teaching English, first, the teachers guided students to have intercultural knowledge, intercultural attitude, and intercultural skills in teaching the English language. Second, the teachers contrasted between English language culture and Indonesian culture. Third, the teachers asked the students to practice the activities which addressed to intercultural knowledge, intercultural attitude, and intercultural skills. This research implied that ICC is competence should be mastered by the English learners in the digital era.
Comparative Analysis of Loss Functions in TD3 forAutonomous Parking
Authors:   Universiti Tun Hussein Onn Malaysia, Chan Ka Heng , Mustapha Aida ,   Universiti Tun Hussein Onn Malaysia, Jubair Mohammed Ahmed ,   Imam Ja'afar Al-Sadiq University
Published: October 2024

Autonomous parking is a revolutionary technology that has transformed the automotive industry with the rise of deep reinforcement learning, in particular, the Twin-Delayed Deep Deterministic Policy Gradient Algorithm (TD3). Nonetheless, the robustness of TD3 remains a significant challenge due to bias in Q-value estimates when determining how good an Action, A, taken at a particular state, S. To investigate this gap, this paper analyzes different loss functions in TD3 to better approximate the true Q-value, which is necessary for optimal decision making. Three loss functions are evaluated; Mean Squared Error (MSE), Mean Absolute Error (MAE) and Huber Loss via a simulation experiment for autonomous parking. The results showed that TD3 with Huber Loss has the highest convergence speed with the fastest Actor and Critic loss convergence. The Huber Loss function is found to be more robust and efficient than either loss function such MSE or MAE used in isolation, making it a suitable replacement for existing loss functions in the TD3 algorithm. In the future, TD3 with Huber Loss will be used as the base model to solve overestimation problem in TD3 when the estimated Q-values that represent the expected rewards of taking an action in a particular state, are higher than their true values.
Context-preserving Sentiment Classification Using Bi-TCN and BI-GRU with Multi-head Self-attention
Authors:   Osmania University, Srinath K. R. , Indira Dr. B. ,   Chaitanya Bharathi Institute of Technology
Published: October 2024

In natural language processing, sentiment classification is the recently used topic. Specifically, the objective of the sentiment analysis is to categorise the polarity expressed on the sentence's target. However, there are some researches for classifying the polarity of the target which outperforms well in their way. Yet, there are some limitations, such as apparent and in-apparent issues, gradient problems, etc., to overcome these issues the context-preserving sentiment classification using BI-TCN (Bidirectional Temporal Convolutional network) and BI-GRU (Bidirectional Gated Recurrent Unit) with Multi-head self-attention is proposed to extracts both the local dependent and global dependent information from the sentence, then it will incrementally extract the supervision information of the target to train the model. Formerly, the model is tested and trained using four datasets and the performance is compared with four existing methods, its accuracy is evaluated using the F1-score, precision, recall, specificity, and MCC (Matthews Correlation Coefficient). Consequently, the proposed approach provides the best accuracy level of 98%.