bluuebunny/crossref_metadata_2025 huggingface dataset:
TrAnnoScope: A Modular Snakemake Pipeline for Comprehensive Full-Length Transcriptome Analysis and Functional Annotation
Authors: Pektas Aysevil , Panitz Frank , Thomsen Bo
Published: November 2024

Transcriptome assembly and functional annotation are essential for understanding gene expression and biological function. Nevertheless, many existing tools lack the flexibility to integrate both short- and long-read sequencing data or fail to provide a complete, customizable workflow for transcriptome analysis. Here, we present TrAnnoScope, a comprehensive transcriptome analysis pipeline that provides a complete, customizable workflow capable of efficiently processing and integrating short- and long-read sequencing data to generate high-quality, full-length transcripts with detailed functional annotation. The pipeline encompasses steps from quality control to functional annotation, employing a range of tools and established databases, such as SwissProt, Pfam, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes. As a case study, TrAnnoScope was applied to RNA-Seq data from zebra finch brain, ovary, and testis tissues. TrAnnoScope produced comprehensive transcriptome, demonstrating strong alignment with the reference genome (99.63%) and capturing a significant proportion of nearly complete protein sequences (92.7%). The functional annotation process yielded extensive matches to known protein databases and successfully assigned relevant functional terms to majority of the transcripts. As such, TrAnnoScope successfully integrates multiple sequencing technologies to generate comprehensive transcriptomes with minimal user input. Its modular design, flexibility, and ease of use make it a valuable tool for researchers working with complex datasets, particularly for non-model organisms.
Experimental and Numerical Analysis of the Quasi-Static and Dynamic Behavior of Silicate Materials
Authors: Jankowiak Tomasz , Ossowski Jakub Rafał , Rusinek Alexis , Bahi Slim
Published: November 2024

The study investigated both the static and dynamic behavior of silicate materials through a series of experimental and numerical tests. Compression tests were conducted on cubic samples, three-point bending tests on beams, and perforation tests on silicate plates. In the compression tests, stress-strain curves were generated, enabling the calibration of the Concrete Damaged Plasticity (CDP) model for silicate materials. The tensile strength of the silicate was assessed using three-point bending tests, while dynamic perforation tests determined the impact resistance of silicate when subjected to a rigid projectile. The perforation tests provided insight into the failure mechanisms of silicate plates under projectile impact at velocities approaching the ballistic limit. Additionally, the numerical simulations for all the experimental tests were performed using the Abaqus software, in order to validate the accuracy of the material behavior model and confirmed the appropriateness of the calibrated parameters for the chosen model. The results showed a strong qualitative and quantitative correlation with the experimental data, demonstrating the robustness of the adopted approach.
Simultaneous Down-regulation of Intracellular MicroRNA-21 and hTERT mRNA Using AS1411-functionallized Gold Nanoprobes to Achieve Targeted Anti-tumor Therapy
Authors: Ji Qinghong , Yang Qiangqiang , Ou Mengyao , Hong Min
Published: November 2024

Telomerase presents over-expression in most of cancer cells and has been a near-universal marker of cancer. Studies revealed that inhibiting telomerase activity by utilizing oligonucleotides to down-regulate the expression of intracellular human telomerase reverse transcriptase (hTERT) mRNA was an effective method to achieve anti-tumor therapy. Considering oncogenic microRNA-21 has been proved to indirectly up-regulate hTERT expression and drive cancer metastasis and aggression through increased telomerase activity, here we constructed a AS1411-functionallized oligonucleotide-conjugated gold nanoprobe (Au-nanoprobe) to simultaneously down-regulate intracellular microRNA-21 and hTERT mRNA by using anti-sense oligonucleotide technology to explore their targeted anti-tumor therapy effect. In vitro cell studies demonstrated that Au-nanoprobes could effectively induce apoptosis and inhibit the proliferation of cancer cells through down-regulating intracellular hTERT activity. In vivo imaging and anti-tumor studies revealed that Au-nanoprobes could accumulate at the tumor site and inhibit the growth of MCF-7 tumor xenografted on balb/c nude mice, thus exert the potential of anti-tumor therapy.
Cost-Utility of Dalbavancin as a Treatment Option for Adult Patients with Acute Bacterial Skin and Skin Structure Infections (ABSSSI) in Canada
Authors: Lauzon Véronique , Chojecki Dagmara , Zhanel George G. , Blondeau Joseph M. , Paulo-Alexandre Kayla , Jakac-Sinclair Natasha
Published: November 2024

Background/Objectives: The standard of care for acute bacterial skin and skin structure infections (ABSSSIs) requiring intravenous (IV) antibiotics includes vancomycin, administered over several days, in a hospital or outpatient setting resulting in significant costs. Dalbavancin, a long-acting single-dose lipoglycopeptide IV therapy may offer a cost-effective option for adult patients with ABSSSIs in Canada. Methods: A cost-utility analysis (CUA) was performed to evaluate the potential benefits of dalbavancin compared to other IV antibiotics for the treatment of adult patients with ABSSSIs who require IV antibiotics but whose hospitalization, if necessary, is anticipated to be £ 72 hours. Results: This analysis utilized a decision-analytic model showing that dalbavancin was dominant against all IV antibiotic comparators when considering the healthcare system or societal perspective and was associated with lower costs and improved patient adherence. For the sub-population analysis against PWID (people who inject drugs) and the homeless, dalbavancin generated even greater cost savings. Conclusions: We report that dalbavancin when used to treat ABSSSI requiring IV antibiotics may offer cost savings for Canadian healthcare providers through reduced hospitalization time, lower administration and labor costs, minimized risk of healthcare-acquired infections (HAIs), improved patient compliance and optimized resource allocation particularly in patients at risk of non-compliance (First Nations, the homeless and PWID).
Artificial Intelligence and Algorithmic Approaches of Health Security Systems: A Review
Authors: Koutsojannis Constantinos , Mariettou Savina , Triantafillou Vassilios
Published: November 2024

This paper explores the overall picture regarding security systems in healthcare through an extensive review of the literature. As the healthcare sector has now become digitalized, the security of healthcare systems and, by extension, the protection of patient data is a key concern in the modern era of technological advances. Therefore, a secure and integrated system is now essential. Thus, to evaluate the relationship between security systems and healthcare quality, we conducted literature research to identify studies reporting their association. The timeline of our review is based on published studies covering the period from 2018 to 2024, with entries identified through a search of the relevant literature, focusing on the most recent developments due to advances in artificial intelligence and algorithmic approaches. Thirty-three studies were included in our final survey. Our findings underscore the critical role of security systems in healthcare that significantly improve patient outcomes and maintain the integrity of healthcare services. According to our approach, the studies analyzed highlight the growing importance of advanced security frameworks, especially those incorporating artificial intelligence and algorithmic methodologies, in safeguarding healthcare systems while enhancing patient care quality. According to this study, most of the research analyzed uses algorithmic technology approaches, many researchers prove that ransomware is the most common threat to hospital information systems, and more studies are needed to evaluate the performance of the systems created against this attack.
Zirconium-Polycarboxylato Gel Systems as Substrate to Develop Advanced Fluorescence Sensing Devices
Authors: Pascual-Colino Jon , Beobide Garikoitz , Castillo Oscar , Cepeda Javier , Lanchas Mónica , Luque Antonio , Pérez-Yáñez Sonia
Published: November 2024

This study presents the development of zirconium polycarboxylate gel systems as substrates for advanced fluorescence sensing devices. Zirconium-based metal-organic gels (MOGs) offer a promising alternative due to the robustness of the Zr-O bond, which provides enhanced chemical stability. In this work, zirconium polycarboxylate gels were synthesized using green solvents in a rapid room temperature method. Fluorescein, naphthalene-2,6-dicarboxylic acid and 4,4',4'',4'''-(porphine-5,10,15,20-tetrayl)tetrakisbenzoic acid were incorporated as fluorophores to give the gel luminescent properties, enabling it to be used as a sensor. These fluorophores produce specific changes in the perceived colour and intensity of the fluorescence emission upon interaction with different analytes in solution, allowing a qualitative identification of different solvents and compounds. However, the fragile structure of neat gels hinders reproducible quantitative analysis of fluorescence emission, so to increase mechanical stability during manipulation, a composite material was developed by combining the MOGs with quartz microcrystals, which proved to be a more reliable fluorescent system. The results show that the material can identify univocally different solvents and analytes in aqueous solutions by the quantitative analysis of the emissions intensities. This work presents an innovative approach to create advanced fluorescence sensors with improved mechanical properties and stability using zirconium polycarboxylate gels and multiple fluorophores.
Experimental Research on Influence of Calcium Channels on the Healing of Skin Wounds in Rats
Authors: Dobritoiu-Grigore Alexandra , Stoleru Smaranda , Costescu Mihnea , Vatasescu-Balcan Ana , Coman Oana Andreia , Zugravu Aurelian , Fulga Ion
Published: November 2024

The migration of cells during the healing process is supported by an electrical potential difference that develops between the edges of skin wounds and the center of the wound. The electrical potential in cells' membranes is responsible for their migration in an electric field. The transmembrane electrochemical gradient differences cause this potential., Concomitant blockade of potassium and calcium channels by amiodarone at a medium dosage favored wound healing [1,2], but the effect was less intense than in the case of selective blocking of potassium channels. This suggested that blocking calcium channels partially antagonizes the effect of blocking potassium channels [8,9]. Since nimodipine blocks both L-type and T-type calcium channels, we decided to study which of these calcium channels are involved in wound healing. Hence, we performed an experimental study in which nimodipine was used in 3 concentrations: 200nM, which block only L-type calcium channels, 1000nM that block both L-type and T-type calcium channels and 10,000 nM, respectively, that block calcium channels and activate CB1 cannabinoid receptors. Blocking of calcium channels favored wound healing under our experimental conditions, but this happened only by simultaneously blocking of the L-type and T-type calcium channels, because only the medium nimodipine concentration had a statistically significant effect.
Design of Urban Indicators to Optimize the Implementation of Low-Impact Techniques in Semi-Arid Cities
Authors: Volpi-León Valeria , Seck-Tuoh-Mora Juan Carlos , Bigurra-Alzati Carlos Alfredo , Juárez-Sedano Alma Delia , Lizárraga-Mendiola Liliana
Published: November 2024

This study proposes indicators based on urban, demographic, and hydrological parameters to assess the effectiveness of low-impact development (LID) techniques, such as rooftop rainwater harvesting, aimed at reducing water scarcity in a residential area vulnerable to water shortages in a semi-arid city in the Global South. In the study area, the necessary water demand is identified according to land use requirements established by national and local regulations, and an urban configuration pinpoints spaces suitable for rainwater harvesting for self-consumption. Additionally, hydrological design conditions are defined to evaluate the potential volumes of recoverable water. Accordingly, indicators of infiltrated water, availabel water for consumption, runoff water, and sufficient water are established, enabling the proposal of strategies to mitigate water scarcity and enhance water management.
LangChain
Authors: Mavroudis Vasilios
Published: November 2024

LangChain is a rapidly emerging framework that offers a ver- satile and modular approach to developing applications powered by large language models (LLMs). By leveraging LangChain, developers can sim- plify complex stages of the application lifecycle—such as development, productionization, and deployment—making it easier to build scalable, stateful, and contextually aware applications. It provides tools for han- dling chat models, integrating retrieval-augmented generation (RAG), and offering secure API interactions. With LangChain, rapid deployment of sophisticated LLM solutions across diverse domains becomes feasible. However, despite its strengths, LangChain’s emphasis on modularity and integration introduces complexities and potential security concerns that warrant critical examination. This paper provides an in-depth analysis of LangChain’s architecture and core components, including LangGraph, LangServe, and LangSmith. We explore how the framework facilitates the development of LLM applications, discuss its applications across multi- ple domains, and critically evaluate its limitations in terms of usability, security, and scalability. By offering valuable insights into both the capa- bilities and challenges of LangChain, this paper serves as a key resource for developers and researchers interested in leveraging LangChain for innovative and secure LLM-powered applications.
Biopesticide Compounds of Endolichenic Fungus Xylaria sp. Isolated from Hypogymnia tubulosa
Authors: Lyssaios Fotios A. , González-Coloma Azucena , Andrés María Fe , Díaz Carmen E.
Published: November 2024

Endolichenic fungi represent an important ecological group of microorganisms that form associations with photobionts in the lichen thallus. These endofungi that live in and coevolve with lichens are known for synthesizing secondary metabolites with novel structures and diverse chemical skeletons making them an unexplored microbial community of great interest. As part of our search for new phytoprotectans, in this work we studied the endolichenic fungus Xylaria sp. isolated from the lichen Hypogymnia tubulosa, which grow as epiphyte on the bark of the endemic tree Pinus canariensis. From the extract of liquid fermentation, we isolated two new piliformic derivatives, (+)-9-hydroxypiliformic acid (1) and (+)-8-hydroxypiliformic acid (2), along four known compounds, (+)-piliformic acid (3), hexylaconitic acid A anhydride (4) and two hydroxyphenylacetic derivatives (5-6). Their structures were elucidated based on NMR and HRESIMS data. The extract and compounds were tested for their antifeedant (Myzus persicae, Rhopalosiphum padi and Spodoptera littoralis), antifungal (Alternaria alternata, Botrytis cinerea and Fusarium oxysporum), nematicidal (Meloidogyne javanica) and phytotoxic effects on mono and dicotyledonous plant models (Lolium perenne and Lactuca sativa). Among these compounds 4, 5 and 6 were effective antifeedants against M. persicae and 4 was also active against R. padi. Moreover, compound 3 and 4 showed antifungal activity against B. cinerea and 4 was the only nematicidal. Phytotoxic test showed that the extract has strong effect against L. sativa and L. perenne growth. The phytotoxic compounds were 3, 4 and 5. (+)-Piliformic acid (3) and hexylaconitic A anhydride (4) displayed root growth stimulation on low doses and inhibitory effect at higher doses of dicotyledonous specie L. sativa.
Redefining Social Cohesion: Fostering Inclusion and Belonging in Diverse Societies
Authors: Moleka Pitshou
Published: November 2024

In an increasingly globalized and interconnected world, the challenge of maintaining social cohesion and cultivating a sense of belonging and inclusion within diverse societies has become a critical priority. Traditional notions of social cohesion, often centered on cultural homogeneity and the assimilation of minority groups, have proven inadequate in the face of rising social, cultural, and demographic complexities. This article proposes a transformative approach to redefining social cohesion through the lens of inclusion and belonging – an orientation that embraces diversity, promotes equity, and empowers marginalized communities as active agents of change. Drawing on a comprehensive review of interdisciplinary literature, the article examines the theoretical foundations and multifaceted dimensions of inclusive social cohesion. The analysis synthesizes insights from social identity theory, intergroup contact theory, the capabilities approach, and institutional theory to develop a holistic conceptual framework. This framework comprises four interrelated pillars: (1) promoting equitable access to resources and opportunities; (2) facilitating meaningful intercultural exchange and mutual understanding; (3) empowering marginalized communities and amplifying their voices; and (4) strengthening institutional responsiveness and adaptive governance. The article then presents a systematic review of innovative case studies from diverse global contexts to illustrate the transformative potential of this inclusive social cohesion approach. The case analyses highlight how these multi-dimensional initiatives have enhanced belonging, challenged structural inequalities, and fostered more equitable and resilient societies. Finally, the article outlines policy recommendations and future research directions to advance the agenda of inclusive social cohesion and catalyze positive societal transformations worldwide. By redefining social cohesion through the lens of inclusion and belonging, this article offers a groundbreaking contribution to the scholarly discourse and policy debates on managing diversity, promoting social integration, and building more inclusive and sustainable communities.
Potential of Locally-Isolated Acinetobacter baumannii Strains as Phosphate Solubilizer from Three Major Onion-Producing Provinces in the Philippines
Authors: Leander Rosalee , Fiegalan Elaida , Fiegalan Fernan T , Mactal Ariel G , Sarong Marilou M , Mason Maria Luisa Tabing
Published: November 2024

The fixed insoluble Phosphorus in the soil limits its utilization by crops and thus, the role of phosphate solubilizing bacteria (PSB) is beneficial to increase the P availability in the soil for crops. In order to obtain native isolates that may be used for onion production, three (3) major onion-producing provinces in the Philippines were selected to collect soil samples. A laboratory experiment was carried out to isolate probable PSB employing Pikovskaya (PK) medium with tricalcium phosphate. From a total of 157 isolates that showed a halo zone on PK plates, three (3) representative isolates (one from each location) were selected based on their population dominance and halo zone size for genetic identification using 16S rRNA sequencing. The isolated PSB strains from the three sites showed highly similar nucleotide sequences with Acinetobacter baumannii. In terms of ability to solubilize Phosphorus, the Mindoro Occidental isolate (MOc PSB-RGL-2023) showed the highest solubilizing index of 3.42 mm, followed by Ilocos Sur (IS PSB-RGL-2023) with 3.2 mm, and Nueva Ecija (NE PSB-RGL-2023) with 2.7 mm. These findings suggest the potential of Acinetobacter baumanii as bioinoculant for improving P availability. This study provides a valuable insight as the pioneer report that isolated and characterized possible A. baumannii strains from the three provinces in the Philippines as a prospective PSB bioinoculant.
Machine Learning Models to Predict Google Stock Prices
Authors: Bucura Cosmina Elena , Giudici Paolo
Published: November 2024

Google services have shifted the use of technology in our daily lives, enhancing our communication, collaboration and access information. Given this pervasive influence, the aim of this analysis is to compare the predictions of Alphabet’s stock price using various datasets and machine learning models and understand which models perform better, not only in terms of predictive accuracy, but also in terms of explainability and robustness.
To this aim, we have built three different database, considering the existing economic literature and trying to integrate features deriving from the analysis of the context in which the company works and, in particular, R&D costs from Alphabet’s annual financial reports.
We have applied to the database different state of the art machine learning models, ranging from statistical learning models (linear regression), improved with Ridge regularisation, to classic machine learning models such as Gradient Boosting and artificial neural networks, to more recent deep learning models such as recurrent neural networks.
Additionally, the models have been compared in terms of the recently proposed S.A.F.E. AI model, which includes metrics that can assess the Sustainability, Accuracy, Fairness and Explainability of AI application in a unified manner, with a metrics that is related to the Lorenz curve and the Area Under the ROC Curve.
Our empirical findings show that the choice of the best model to employ to predict Google stock prices depends on the desired objective. If it accuracy, the recurrent neural network is the best model. If it is robustness, the Ridge linear model is the most resilient to changes. If it is explainability, the Gradient Boosting model is the best choice.
Hormone Replacement Therapy and Its Relationship with Skeletal Muscle Mass and Bone Mineral Density in Women from Western Mexico: Cross-Sectional Study
Authors: Arellano-Cervantes Reynaldo , Gamez-Nava Jorge Ivan , Avalos-Salgado Felipe Alexis , Gonzalez-Vazquez Sergio Antonio , Ramírez-Lizardo Ernesto Javier , Gutierrez-Aceves J. Ahuixotl , Nava-Valdivia Cesar Arturo , Gonzalez-Ponce Fabiola , Rodriguez-Jimenez Norma Alejandra , Saldaña-Cruz Ana Miriam , Ramirez-Villafaña Melissa , Gomez-Ramirez Eli Efrain , Alcaraz-López Miriam Fabiola , Totsuka-Sutto Sylvia Elena , Cardona-Muñoz Ernesto Germán , Gonzalez-Lopez Laura , Ponce-Guarneros Juan Manuel
Published: November 2024

Background: Every year, 1.5 million women worldwide experience menopause and the associated changes that cause disability and dysfunction. There are multiple treatments focused on the symptoms; hormone replacement therapy (HRT) may be one that helps us reduce these changes. Objectives: the objective of this work was to assess the relationship between skeletal muscle mass and bone mineral density in postmenopausal women using hormone replacement therapy. Methods: Study design: cross-sectional study. A systematic assessment of clinical charts from postmenopausal women using hormone replacement therapy. Differences between low muscle mass and low bone mineral density were assessed; linear regression models were calculated to estimated the effect of body mass index, length of menopause, age, presence of comorbidities, physical activity and muscle mass have over those variables. Results: Bone mineral density was heavily influenced level of body mass index (aẞ: 0.015, 95% CI, 0.010, 0.019, p<0.001) and age (aẞ: -0.006, 95% CI, -0.010, -0.002, p=0.002); while muscle mass changes were associated with body mass index (aẞ: 0.548, 95% CI, 0.456, 0.640, p<0.001) and Age (aẞ: -0.081, 95% CI, -0.155, -0.006, p=0.034) Conclusions: The use of Hormone replacement therapy does not have a relation with the levels of muscle mass neither bone mineral density in postmenopausal women.
Investigating Relationship between Perceived Stigma and Job Burnout among Macao Migrant Workers—A Moderated Mediation Examination
Authors: Hong Wei , Chen Zhiyi
Published: November 2024

Migrant workers comprise half of the workforce in Macao, and stigmatization is a typical characteristic of the group. Previous studies have researched the impact of stigmatization on related behaviors such feeling shame to seek help and perceiving resistance and vulnerability as stigmatized identities, but few have focused on the workplace behavior of stigmatized employees. This study investigates the relationship between perceived stigma and job burnout. We surveyed 312 mainland migrant workers in Macao using self-administered questionnaires, using Amos and SPSS software analyzing data. Our findings illustrated that perceived stigma leads to job burnout (β1=0.24, p<0.001) whereas role stress acts as a mediating variable (β2=0.19, p<0.001). Additionally, this study found that both self-efficacy and organizational support buffer role stress in the mediation process. In this sense, this study further found that when migrant workers are at a high-level self-efficacy or perceive a high-level organization support, the mediation effect of role stress has been reduced to insignificant compared to middle or low-level self-efficacy and organization support perceptions. Results supported the hypotheses and aligned with the conservation of resources theory and job-demand theory. This study extends stigmatization study from sociology to the organization behavior studies and it is contended that Macao government, society, and employers need to offer sufficient support to migrant workers to buffer the effects of stigmatization, reduce their job burnout, and improve migrant workers’ health and well-being status.
REQUIREMENTS FOR A LEADER FROM THE POSITION OF STRATEGIC MANAGEMENT OF THE ENTERPRISE ON THE WAY TO SYSTEMIC PERFECTION
Authors: Haharinov Oleksii , Leshchenko Zynoviia
Published: November 2024

The article offers a list of requirements for a leader from the strategic management position of an organization that has chosen a course for systemic excellence. Leadership can be formal or informal. The head of the system is only sometimes the leader. The manager, as a leader, should meet specific requirements. Taking into account the historical experience of developing countries, which are still experiencing transformational processes with negative consequences, the question arises regarding the orientation of culture "as an image of life activity" of active elements - people, from the position of its condition in most subjects of socio-economic activity, about archetypes, in particular the archetype about the understanding of leadership, more in the practical plane, mainly as a formal attribute of power. Management subsystems of organizations in transitional/transformational conditions are not sufficiently focused on system criteria for choosing a leader. The article proposes general requirements for the system leader from the strategic management position, which has chosen a course for system excellence. The proposed list includes the following requirements: possess systemic and strategic thinking and be a carrier of progressive culture "as an image of life activity"; to be clearly aware of their purpose in the system; have high competence in managing complex systems; to clearly regulate one's job duties, powers and personal responsibility for achieving target strategic guidelines; to be a strategist and architect of the organization, especially in terms of defining and carrying out systemic strategic changes; to be a creative person and in every way to stimulate a creative approach to solving problems at all levels of management; to give priority to the goals of the system compared to personal goals and ambitions, to subordinate them to their purpose; have the image and reputation of a highly professional top manager; be oriented towards partnership both within the system itself and in the external environment (use the "win/win" strategy when the interests of all interacting parties are maximally satisfied). For the management subsystem, the list of requirements allows you to focus on the search, development, assessment of suitability, and replacement of the applicant for this role.
ORGANIZATIONAL PRINCIPLES OF EXTENSION OF GRANT AID FOR THE DEVELOPMENT OF RURAL AREAS
Authors: Demchenko Oleksandr
Published: November 2024

The article is devoted to developing and substantiating the critical elements of the mechanism for developing and submitting an application for grant funding for developing a rural
community or an agrarian business entity. It is substantiated that there is a need to significantly expand the involvement of external funding sources for the formation and development of human capital in rural areas. It was determined that the reserve of such funding is to increase rural communities' access to grant programs of international organizations and partner countries. It was determined that in expanding grant aid for developing rural areas in Ukraine, especially in wartime conditions, it is essential to consider the main reasons for the grantors' refusal to provide financial support. The most relevant reasons include violation of requirements for the form and content of documents, lack of convincing justification of the social utility of the project and reasoned calculation, inconsistency between the purpose of the grant program and the goals of the project, incompatibility of the nature of the program and the application, violation of requirements regarding the target audience, bad reputation of the applicant, lack of of the detailed project budget, as well as the inconsistency of the formulation of project tasks with the basic methodological principles of construction (SMART analysis). An organizational mechanism for developing and applying for grant funding for developing a rural community or an agrarian business entity is proposed. This mechanism has methodological value because it focuses on the most critical stages of the process of development and submission of an application for grant financing of the project, determines the approximate circle of stakeholders of the grant process, emphasizes the conditions and factors that help to count on success in the grant competition. In contrast to the existing approaches, it highlights the phasing, as well as the list and content of measures during the development and submission of an application for the project's grant funding.
EVALUATION OF THE RESULTS OF ESG PROJECT IMPLEMENTATION
Authors: Lagodiyenko Oleg
Published: November 2024

The article explores the issue of evaluating the outcomes of implementing ESG (Environmental, Social, and Governance) projects across various economic sectors. It analyzes the main problems organizations face when implementing ESG initiatives, including inadequate methodological approaches to performance evaluation and the diversity of standards. The primary aspects of ESG projects' impact on environmental, social, and economic development are characterized. A comprehensive methodology for assessing the results of ESG initiatives has been developed, considering key performance indicators (KPIs) across different areas of activity. Recommendations are proposed to improve the efficiency of ESG project implementation, contributing to the sustainable development of enterprises.
The study delves into the various challenges that organizations encounter, such as high implementation costs, resistance to change within the organization, and the lack of necessary experience and expertise. Additionally, it addresses the uncertainty regarding the impact of ESG projects on companies' financial performance.
By calculating a composite ESG index for agro-industrial enterprises in Ukraine, the research allows for comparing the effectiveness of ESG project implementation and identifying leaders and laggards in the field of sustainable development.
The study also underscores the role of independent experts in conducting external audits of results and obtaining certification from recognized organizations to confirm compliance with ESG standards. Continuous improvement of ESG projects involves implementing mechanisms for regular monitoring and updating goals and KPIs in response to changes in the external environment and internal processes.
The practical implications of this research are significant for business leaders, investors, policymakers, and all stakeholders aiming to enhance responsibility and sustainability in their operations. The insights provided in this article can help organizations improve the added value created by ESG projects and identify steps necessary to achieve maximum results.
THEORETICAL BASIS OF DETERMINING UKRAINE'S PLACE IN MODERN INTERNATIONAL ECONOMIC EXCHANGE
Authors: Mekhovych Serhii , Laushkin Arkady , Kuznetsov Yury
Published: November 2024

The article raises the issue of determining Ukraine's place in modern international exchange. International economic exchange is carried out in all directions of international relations. The subjects of exchange are innovations, technologies, finished products, finance, labor force. These processes are facilitated by the creation of various network structures, within the framework of which foreign economic relations take place and the processes of exchange, purchase and sale are carried out. The basic economic categories that form the basis of economic policy in the formation of international economic relations are defined. The essence of these categories, their components and challenges for national interests in the context of international integration are given. It is noted that globalization provides access to new markets, technologies and investments, but requires countries to adapt, increase competitiveness and ensure economic security. States should actively work on strategies that allow national economies to successfully integrate into the global economy, while maintaining economic sovereignty and ensuring sustainable development. It is justified that the determinants of foreign economic relations of the Ukrainian economy are multifaceted and include economic, geopolitical, ethnic, historical, cultural , institutional and spatial-resource aspects. Each of these factors affects the formation of foreign economic policy and determines Ukraine's international position. The interaction of these determinants shapes the country's strategy in the international arena, influencing its economic growth, development and integration into the world economic system. It is substantiated that the basic economic categories are the foundation for the formation of international economic policy. Understanding and correct use of these categories allows countries to effectively integrate into the world economy, support economic growth, strengthen their international positions and ensure the well-being of the population. Economic policy based on the analysis of these categories contributes to the development of international economic relations and the achievement of the country's strategic economic goals.
EVOLUTION OF FORMS OF STATE REGULATION IN THE LOGISTICS SPHERE
Authors: Samoilenko Bohdan , Janchuk Igor
Published: November 2024

The article summarizes the evolution of forms of state regulation in the logistics sphere. The architecture of the system of state regulation in logistics involves a structured and complex approach to the management of logistics processes at the state level. It includes several main components that interact to ensure the efficient functioning of the logistics services market. The study of the architecture of logistics systems makes it possible to clearly define their structure and functional relationships, which significantly affects the effectiveness of material flow management. Micrologistics, metallogistics, mesologistics, macrologistics and global logistics systems have their own peculiarities of state regulation. The global logistics system is an integrated network that ensures the efficient movement of goods at the international level, supporting sustainable development and competitiveness. State regulation of logistics in Ukraine is carried out through direct and indirect forms, each of which has its own characteristics and advantages. The balance between state control and market freedom is key to effective regulation of logistics. Direct and indirect regulation can be used together to achieve optimal results, taking into account the historical context and specific needs of the country. The implementation of digital technologies and innovations is an important element of modern state regulation of logistics services. Digitization, in particular the creation of a state logistics blockchain platform (DLBP), can significantly increase the transparency, efficiency and security of logistics operations at the national level. DLBP unites various participants in the logistics process, providing up-to-date data exchange and automation of business processes, which reduces bureaucratic barriers, reduces paperwork, optimizes routes and resources, and also contributes to reducing costs and delays. Research results indicate that the development of a scientific research base in the field of logistics can provide a scientific basis for effective supply chain management models. Investment in education and personnel training for the logistics industry is another important element of successful government regulation. The formation of a professional community that possesses modern knowledge and skills in the field of logistics will contribute to increasing the overall competitiveness of the national economy.
ENERGY EFFICIENCY AS A KEY FACTOR IN ENHANCING THE POTENTIAL AND COMPETITIVENESS OF ENTERPRISES IN THE CONSTRUCTION INDUSTRY THROUGH THE APPLICATION OF GLOBAL PRACTICES
Authors: Suslikov Stanislav , Makarov Serhii , Sarkisov Arsen
Published: November 2024

The article substantiates the importance of energy efficiency as a key factor in enhancing the potential and competitiveness of enterprises in Ukraine's construction industry through the application of global practices. The article demonstrates how the implementation of advanced energy-saving technologies and renewable energy sources, which are widely used at the international level, allows enterprises to reduce energy costs, increase environmental responsibility, and strengthen market positions.
It is proven that the integration of global practices in energy efficiency, including the modernization of production processes and the implementation of automated energy management systems, significantly enhances the economic efficiency of enterprises. The example of «DZBM» LLC, which reduces production costs and generates additional income from selling electricity at the «green tariff» through the construction of a mini-CHP plant running on biofuel, confirms the effectiveness of this approach.
The relevance of the topic lies in the need to adapt global energy efficiency practices in Ukraine's construction industry, which is particularly important in the context of rising energy costs and economic instability. The article lays the foundation for further research in this area and proposes ways to optimize energy use to enhance the competitiveness of enterprises.
IMPLEMENTASI FUZZY TSUKAMOTO DALAM SISTEM PREDIKSI PANEN PADI DI KABUPATEN INDRAMAYU
Authors: Farismana Riyan , Sholihah Debi Nabilah , Pramadhana Dian , Lena Sonty
Published: November 2024

Strategic efforts to maintain rice production, which is the staple food of the Indonesian people, must continue to be carried out, one of which is maintaining production in rice-producing areas such as Indramayu Regency is a step that must be prioritized. Knowing the prediction of the upcoming rice harvest is the right effort to make. Fuzzy Tsukamoto logic is a method that can be used as a calculation to make predictions, the selection of fuzzy Tsukamoto is due to its ability to predict with factors that have uncertainty such as rainfall, in addition, land area and harvest yields can also be used as variables to obtain predictions through fuzzy Tsukamoto. This study was conducted to implement fuzzy Tsukamoto for predicting rice harvest yields, where the results of the fuzzy Tsukamoto logic process that have been carried out produce six rules at the inference stage in the category of increasing or decreasing harvests, which are used as the basis for the defuzzification process to find the output value of the harvest. The calculation results are then applied in a website-based system using the Laravel framework and MySql DBMS so that they can be used to predict rice harvest yields. Based on the prediction process carried out through a system based on the fuzzy Tsukamoto method, out of 31 sub-districts, 16 sub-districts have the potential to experience a decline, and 15 sub-districts have experienced an increase in rice harvest production in Indramayu Regency.
PERANCANGAN APLIKASI PERHITUNGAN BEBAN KERJA DOSEN TERINTEGRASI DENGAN PENDEKATAN WATERFALL
Authors: Ratmana Danny Oka , Syaifur Rohman Muhammad , Firdausillah Fahri , Wilujeng Saraswati Galuh
Published: November 2024

Digital transformation in higher education emphasizes the importance of information technology in enhancing management efficiency, including the management of lecturers' workloads. This study aims to design a Full-Time Equivalent Teaching Load (EWMP) calculation system integrated with the Integrated Resource Information System (SISTER), implemented by the Ministry of Education, Culture, Research, and Technology (KEMDIKBUDRISTEK). The application was developed using the Waterfall methodology and leverages the SISTER Application Programming Interface (API) to automate the collection of lecturer activity data at Universitas Dian Nuswantoro Semarang (UDINUS). By integrating the workload calculation application into the internal management system, this solution streamlines data recording, reduces manual errors, and enhances accuracy in the evaluation of lecturer performance. The test results indicate that the application successfully synchronizes data with SISTER in an accurate and real-time manner, supporting more effective workload management for lecturers. Additionally, the system provides reports and analyses of lecturer workloads, facilitating resource planning and allocation. This application is expected to contribute to a more transparent, accurate, and quality-driven human resource management process in higher education.
Implementation of Islamic Human Resource Management in Islamic Boarding Schools: Case Study in Modern Islamic Boarding Schools
Authors: Suryana Aep Tata
Published: November 2024

This study aims to examine the strategy of HRM development in modern Islamic boarding schools based on Islamic principles. This study uses a qualitative approach by collecting data from various sources such as the results of previous studies. The collected data will be analyzed thematically to identify patterns and main themes relevant to the research objectives. The results of the study indicate that the implementation of HRM based on Islamic principles can improve individual and organizational performance in Islamic boarding schools. The principles of fairness and transparency in recruitment and promotion, the welfare of teachers and staff, and the enforcement of ethics and integrity are key factors in the success of HRM. Cultural and traditional challenges can be overcome by aligning conventional values ​​with modern management principles through education and dialogue. Limited resources can be overcome with creative and collaborative solutions, such as cooperation with non-profit organizations and the private sector. Adapting to technological change requires investment in infrastructure and training, as well as cultivating innovation throughout the organization. With the right strategy, Islamic boarding schools can implement effective human resource management that follows Islamic values, so that they can produce competent and noble graduates.
The Effect of Service Learning on the Prosocial Behavior of Islamic Boarding School Students
Authors: Sabiq Zamzami , Hanurawan Fattah , Hitipeuw Imanuel
Published: November 2024

This study aims to reveal the effect of service learning on students' prosocial behaviour in boarding schools. A quantitative research approach with a quasi-experimental research design was used in this study. Researchers chose to use a non-equivalent pretest-posttest control group design, which is a design that measures the behaviour of the experimental group and control group before and after treatment. The population in this study were Santri Pondok Pesantren Sabilul Ihsan Pamekasan with the characteristics of boarding students and following the study of Kitab Bidayatul Hidayah. Total sampling was carried out because the population in the study was small, then grouped into experimental groups and control groups. The collected data were analyzed using analysis of covariance (ANOVA) with the SPSS 16 for Windows program. From the analysis that has been done, the results of this study indicate that (1) There are differences in the prosocial behaviour of boarding school students before and after the application of the service learning method in the experimental class. (2) The application of the service learning method is more effective than the bandongan method to improve the students' prosocial behaviour. The results found that service learning had a greater effect on the prosocial behaviour of boarding school students in the experimental group than the students in the control group. The application of service learning conducted in the experimental group was able to increase the prosocial behaviour of students with an effective contribution of 50.1 per cent.
Transformational Leadership in Strengthening Religious Moderation in Private Islamic Higher Education Institutions in Riau Province
Authors: E. Hulawa Djeprin , M. Yusuf Kadar , Alwizar Alwizar , Afriza Afriza , Wahyudi Hakmi , Pamil Jon
Published: November 2024

This research is motivated by several issues related to radicalism and religious violence still prevalent in Indonesia's public and private universities. The survey results by the National Counter Terrorism Agency (BNPT) of Indonesia reported that as many as 39% of students in 15 provinces in Indonesia are indicated of being attracted to radical ideologies and fundamentalist movements. This research aims to describe the pattern of transformational leadership in strengthening religious moderation among students of Private Islamic Higher Education Institutions (PTKIS) in the Riau Province to provide an ideal and humanistic alternative model for the development of religious moderation. This research employs field research methodology, utilizing data collection techniques such as interviews, observations, and documentation to address the research question, "How does transformational leadership contribute to strengthening religious moderation among PTKIS students in Riau?" Based on the research findings, the pattern of transformational leadership applied by the four leaders of PTKIS in Riau positively impacts religious moderation among their respective campus students by carrying out 5 strategic steps included in the discussion.