bluuebunny/crossref_metadata_2025 huggingface dataset:
Defining autonomous functionalities of narrow artificial intelligences for a defensive unmanned ground vehicle to enhance human-UGV teaming performance for defending forces
Authors: Andersson Christian , Laine Mia , Okkonen Jussi
Published: February 2025

There is a growing need to integrate artificial intelligence (AI) into military systems, particularly unmanned vehicles (UxVs). In this paper, the application of AI in defensive combat scenarios involving UGVs is explored. The report is based on an extensive quasi-experiment (n= 458) in a simulation environment. The experiment employed the Wizard of Oz methodology to simulate autonomy in Laykka unmanned ground vehicles (UGVs) within the Virtual Battle Space 4 (VBS4) platform, conducted in collaboration with the Finnish Defense Forces (FDF). This paper explores the potential applications of AI in defensive combat operations. Participants included conscripts and enlisted staff officers, with five operators managing the UGVs. The simulation involved participants taking roles in a defending platoon supported by 16 autonomous UGVs, and in an attacking mechanized infantry company. A total of 48 scenarios were conducted, with data collected through questionnaires, mock graphical user interfaces, qualitative interviews, and scenario event analysis. This paper focuses particularly on the aspects of autonomy and its possible uses learned from the simulation, thus being an explorative study. Questionnaire and simulation data collected from users, operators, and observers is utilized to identify potential requirements and optimal locations for the integration of autonomy in UGVs. The findings highlight the necessity for highly structured command inputs when deploying AI in military contexts. Furthermore, the study suggests that AI is not always essential, and when utilized, it should be restricted to specific, well-defined tasks and functions.
CRNSim: A New Similarity Index Capturing Global and Local Spectral Differences in Hyperspectral Data
Authors: Kim Jungkwon , Kim Sangmin , Lee Jungi , Yoo Kwangsun , Byun Seokjoo
Published: February 2025

Hyperspectral imaging (HSI) enables detailed spectral analysis across numerous bands, offering transformative potential in diverse domains such as remote sensing, agriculture, and medical diagnostics. However, the inherent challenges of inter-class similarity, intra-class variability, and limitations in existing similarity metrics hinder its effectiveness. To address these challenges, we propose CRNSim, a novel similarity index that integrates three complementary components: a Chebyshev-based term to capture extreme spectral deviations, a RMSE-based term to account for global spectral trends, and a nonlinear adjustment factor to enhance sensitivity to subtle variations while mitigating outlier influence. Experimental evaluations on benchmark hyperspectral datasets, including Indian Pines and Salinas Valley, demonstrate the superiority of CRNSim in improving inter-class separability, outperforming traditional metrics such as Chebyshev and RMSE. These findings highlight CRNSim’s potential to advance HSI analysis methodologies, making it a robust tool for fine-grained spectral differentiation across diverse applications.
Security in Information Systems with Artificial Intelligence: Development of AI - based threat detection systems to protect information integrity
Authors: Salgado Reyes Nelson
Published: February 2025

This investigation aims to evaluate the progress in artificial intelligence (AI) threat detection systems, to strengthen information-system security, which has been achieved by guaranteeing integrity, confidentiality, and availability of information. The results further highlight the use of AI to proactively detect and mitigate unseen attacks before they cause any real damage. Using a qualitative methodology as an investigatory framework, this research reflects an interpretative fine-tooth analysis of the literature to provide evaluation of how AI has been used in prevention and containment. The study also discusses different AI methodologies like machine learning, deep learning, neural networks and how they provide a boost in threat detection. A literature review provides a critical examination and analysis of former studies, highlighting patterns, trends, and new methodologies that underscore the ongoing maturation and intricacy of Internet related threats balancing cybercrime AI countermeasures.High-level takeaways from the results Here are some of the chief findings about how AI can protect your network: General adaptation: When attacking patterns shift away from traditional deterministic rules detection, cyberthreats remain hidden from the human eye. The report also explores the use and implementation of AI along with other security systems including encryption and blockchain to establish multiple defence layers. The integration noticeably enhances the resilience of information systems, making them stronger against APTs and Zero-day attacks.It also focuses attention on the wealth of qualitative data with which to explore more nuanced aspects of information security. This complete view helps to bring further clarity to both the issues and potential of AI-driven security solutions. These results underscore the importance of addressing how to use AI as a critical component in building successful digital security information protection strategies and should argue for its wider implementation throughout industries. The research concludes by recommending further exploration of AI’s role in predictive analytics and automated incident response, areas where its potential remains underutilized
Can We Trust Them? Examining the Ethical Consistency of Large Language Models to Perturbations
Authors: Delaflor Rodrguez Manuel , Delgado Solorzano Cecilia , Toxtli Carlos
Published: February 2025

The increasing reliance on Large Language Models (LLMs) raises a crucial question: can these powerful AI systems be trusted to make ethical choices? This study presents an analysis of LLM ethical behavior, examining 25,200 queries across 24 different models, including both proprietary and open-source variants. We evaluate LLM responses to 70 ethical vignettes spanning six domains, employing a novel perturbation methodology to assess the robustness of their ethical decision-making under varying contexts and framing. Our findings reveal that while larger models generally exhibit higher consistency, particularly with Chat-style instructions, significant variations emerge when faced with contextual changes, stakeholder adjustments, and across different ethical domains. To explain these findings, we introduce a novel framework—extit{survival-relevant pattern recognition}—which argues that ethical behavior in both humans and AI arises from recognizing and responding to patterns associated with survival and social cohesion.
Diversity of Perception in Human-AI Collaboration
Authors: Quafafou Mohamed
Published: February 2025

Two key approaches to building AI systems are Model-Centric AI (MC-AI) and Data-Centric AI (DC-AI). When AI systems are deployed in real-world environments, they become part of a socio-technical ecosystem, interacting with humans, processes, and other systems. This interaction often occurs in hybrid teams, where humans and AI collaborate to achieve shared objectives. However, human influences, at any stage, can lead to suboptimal outcomes, such as model drift or reduced performance. In fact, human introduces variability, as personal experience, biases, and decision-making approaches can significantly impact outcomes. Changing one human in the process can alter the results dramatically. This paper review processes involved into building, deploying, monitoring, and maintaining AI-systems and discusses human influences at each step, the potential risks that may arise and the main skills necessary to avoid human’s negative influences. By incorporating perception diversity and tolerating ambiguity, the computing-with-perception framework enhances human-AI collaboration, enabling systems to manage complexity and ambiguity in human-AI collaboration considering real-world problems.
AI-Generated Clinical Case Studies In Physiotherapy: Enhancing Education Through Integrated Artificial Intelligence
Authors: Couto De Azevedo Manuela , Toledo Gomes Mateus , Portela Da Fonseca Cassiano , Lima Pires Letícia , Bittencourt Machado Christiano
Published: February 2025

Building on previous research, this study advances the use of AI-generated clinical case studies, specifically targeting various domains in physiotherapy. This work involved the creation of ten detailed clinical cases using a large language model (LLM) known as OpenAI's ChatGPT (Generative Pretrained Transformer; OpenAI). Each case was carefully designed to simulate real-world scenarios that physiotherapy students might encounter in their professional practice, covering diverse areas such as orthopedics, neurology, cardiopulmonary, and geriatrics. To ensure the generated cases adhered to high standards of educational quality, the prompts provided to ChatGPT were meticulously reformulated following established guidelines from the literature. Moreover, a classical physiotherapy textbook was employed as a reference for formatting and structuring the clinical reports. Preliminary feedback from physiotherapy educators and students suggests that the AI-generated content effectively mimics human-authored clinical cases, providing a valuable tool for enhancing clinical reasoning skills and bridging the gap between theoretical knowledge and practical application. Future research will focus on refining the AI prompts further and expanding the range of clinical scenarios to cover a broader spectrum of physiotherapy practice.
Hospital Kitchen Ergonomics: Analysis of Manual Operations in a Hospital Kitchen Using Jack Software
Authors: Al-fandi Lawrence , Jamal Kawther , Jamal Fatma , Safar Ruqaya , Al-neama Ghadeer , Al-sarraf Fatma
Published: February 2025

Kitchens are considered risky workplaces. Musculoskeletal disorders (MSDs) are one of the leading causes of occupational illnesses that occur due to performing specific forceful kitchen tasks. The study aims to improve kitchen ergonomics by analyzing and redesigning manual operations in a local hospital kitchen in Kuwait using JACK software. A questionnaire was distributed to identify the workers' complaints. Tasks causing pain in the affected areas were investigated. After developing the digital human model, different performance metrics from JACK software tool analysis, such as Rapid Upper Limb Assessment (RULA), Ovako Working Posture Analysis (OWAS), and Lower Back Analysis (LBA) were used to analyze the tasks studied.The findings revealed high initial ergonomic risks, with tasks such as vegetable washing consistently scoring 6–7 on the RULA scale, indicating urgent intervention needs. Post-intervention, risk levels were significantly reduced, with RULA scores dropping to 3–4, particularly for the vegetable washing task, which benefitted from tailored ergonomic modifications like food-washing racks and leg supports. Lower back forces were also notably reduced, especially for lighter workers, highlighting the differential impact of task redesign on anthropometric variations. OWAS scores remained stable, reflecting moderate postural risks throughout. This study underscores the effectiveness of tailored ergonomic interventions in reducing MSD risks and improving workplace safety. The proposed methodology, integrating advanced digital modeling and performance metrics, offers a systematic approach for addressing ergonomic challenges in hospital kitchens and other industrial settings.
Learning styles and new presentation formats using Generative Artificial Intelligence
Authors: Minnaard Vivian Aurelia , Calvo Claudia Graciela , Pascual Mónica Liliana , Bombina Emanuel , Benedetto Bruno Di
Published: February 2025

PURPOSE: To analyze the Learning Style of 4th Year Medicine students from a privately managed university in Mar del Plata, Argentina and the type of format they select when presenting a clinical case, using Artificial Intelligence tools. Generative. METHODS: Descriptive, investigation.The questionnaire was sent  to 72 students  of the career of Medicine , selected in a  non- probabilistic way for convenience. A subsample of 29 students is made to whom a survey is given. A clinical course is presented with different formats ,three of which are carried with Generative Artificial Intelligence RESULTS Those who selected the ‘Visual’ option in the VAK learning styles test chose the poster presentation of the clinical case study in a higher proportion 27,59 % , those who selected the Visual-Auditory option preferred the AI-generated multimedia presentation 10,34% and those who preferred a Visual, Auditory, Kinaesthetic style selected the AI-generated multimedia presentation with recording for the clinical case study.in 24,14%. and in format text 17,24% CONCLUSION: It is permanently necessary as a teaching team to look for strategies to favour the understanding of scientific knowledge that grows and flows very quickly, demanding permanent training.
The Role of Technology in Reducing Food Wastage: A Business and Social Perspective
Authors:   Associate Professor Department of Management Studies Jain (Deemed-to-be University), Shenoy H Shravan
Published: February 2025

Food waste and hunger are two critical issues that coexist paradoxically in many parts of the world. India, known for its rich culinary traditions, faces a significant challenge in managing food waste while simultaneously combating food insecurity. Studies indicate that nearly 40% of the food produced in India goes to waste, contributing to economic loss, environmental degradation, and social inequality. Addressing this challenge requires innovative solutions that bridge the gap between surplus food providers and those in need.

In response to this issue, our research explores the concept of technology-driven food-sharing platforms as an effective method to reduce food waste and improve food security. Digital solutions, including mobile applications and online platforms, offer efficient ways to connect food surplus providers with recipients in need. By fostering a system of surplus redistribution, these innovations promote a more sustainable and socially responsible approach to food management.

This research paper critically examines the business viability, financial implications, market strategies and social impact of implementing technology-driven food-sharing solutions. It includes an extensive literature review to analyse existing models globally, followed by a quantitative and qualitative assessment of the potential success of such an initiative in the Indian market. Through this study, we aim to provide insights into how technology, strategic partnerships, and user engagement can contribute to a sustainable and economically feasible solution for food sharing
The Impact of Artificial Intelligence on Strategic Decision-Making in Businesses
Authors: Upadhyay Dr. Amit Kumar
Published: February 2025

This research paper examines the impact of Artificial Intelligence (AI) on strategic decision-making in businesses. As AI technologies advance, businesses are increasingly integrating AI systems into their decision-making processes to improve efficiency, accuracy, and overall competitiveness. The paper explores how AI influences key areas such as data analysis, forecasting, automation, and customer insights, and analyzes the broader implications for managerial roles and strategic alignment. By reviewing case studies and examining the potential challenges and opportunities presented by AI, this paper aims to provide a comprehensive understanding of how AI is reshaping the landscape of strategic business decision-making.

This research paper offers insights into how AI is transforming strategic decision-making and the challenges businesses face as they adopt these technologies. By examining key applications and evaluating the benefits and risks, it provides a comprehensive view of AI’s impact on modern businesses.
EXISTENCE AND OPTIMAL CONTROL ANALYSIS OF HIV/AIDS MODEL
Authors: Odebiyi O. A. , Oladejo J. K. , Oluyo T. O. , Omotayo Salahu W.
Published: February 2025

Human Immunodeficiency Virus/ Acquired Immune Deficiency Syndrome (HIV/AIDS) stands as a paramount global health concern, being both a prevalent sexually transmitted disease and one of the most catastrophic epidemics ever recorded, with profound impacts on human health. This study revisits the theme of Odebiyi et al. The study presents a mathematical model describing HIV/AIDS transmission dynamics, incorporating optimal control strategies for public sensitization and the use of antiretroviral treatment thereby providing new insight to their work. Analytical results via optimal control theory confirm the existence of optimal solutions. Numerical Simulation results illustrate the efficacy of public sensitization and treatment in controlling HIV/AIDS. The combined implementation of these control measures yields significant reductions in HIV transmission. The analysis underscores the importance of multi-faceted HIV control strategies. Our findings are expected to inform policymakers in developing targeted interventions, optimizing resource allocation, and enhancing the impact of HIV control programs.
PRODUCTIVITY OF SUNFLOWER HYBRIDS WHEN APPLYING FERTILIZERS FOR THE PLANNED YIELD
Authors:   Samara State Agrarian University, Kiseleva Lyudmila V. , Vasin Vasily G. ,   Samara State Agrarian University, Vasin Alexander V. ,   Samara State Agrarian University, Rukhlevich Nikolai V. ,   Samara State Agrarian University
Published: February 2025

The purpose of the research is to develop methods for cultivating sunflower hybrids for the planned yield. In 2021-2023, field experience was carried out according to a three-factor scheme in 3-fold repetition in the experimental field of the Department of Crop Production and Agriculture of the Samara State Agrarian University. The objects of re-search are domestic sunflower hybrids (Talda, Surus, Austin, Excellent and Yello, cultivated with fertilizers for planned yields of 2.5 and 3.0 t/ha). The crops were treated with stimulating drugs Megamix Profi and Megamix Boron. The repetition in the experiment is threefold, the area of the plot is 235.2 m2. The field experiments were accompa-nied by laboratory and field observations and research. The agrotechnics of the experiments included: in autumn, after harvesting the predecessor, deep loosening by 30 cm, harrowing was carried out in spring, fertilization in calcu-lated doses, pre-sowing cultivation to the depth of seeding, seeding with rolling, herbicide treatment in phase
2 of the leaf. Vegetation treatment with the studied preparations (in phase 4 of the leaf). Harvesting and accounting of crops. Data on the effect of calculated doses of mineral fertilizers and Megamix preparations on the formation of the planned harvest of sunflower hybrids are presented. A positive effect of fertilizers was achieved – the yield of hybrids increased relative to the control by an average of 0.17...0.80 t/ha, vegetation treatment with Megamix preparations increased productivity by 0.10...0.21 t/ha, the combined effect of the studied agricultural techniques increased the harvest of oilseeds from 1 ha by 0.20...0.87 t/ha. Among the hybrids, Talda turned out to be the most productive. The 3.0 t/ha program was completed by all hybrids when applying Megamix. The possibility of domestic sunflower hybrids to produce high yields of good quality with the use of fertilizers and growth stimulants in the conditions of the forest-steppe of the Middle Volga region has been established.
FORMATION OF AGROPHYTOCOENOSES AND PRODUCTIVITY OF OLD GRASS STANDS WITH SMOOTH BROME
Authors:   Samara State Agrarian University, Krieger Maksim S. , Vasina Natalia V. ,   Samara State Agrarian University, Vasin Sergey A. ,   Samara State Agrarian University, Trofimova Ekaterina O. ,   Samara State Agrarian University
Published: February 2025

The purpose of the research is to improve methods for increasing productivity and improving the feed value of hay–pasture grasslands based on smooth brome in the conditions of the forest-steppe of the Middle Volga region. Data on the study of photosynthetic activity and feed productivity of perennial grasses with the use of the stimulating drug Gumi-20M are presented. The research was carried out on the grass stands of the fifth-ninth years of life, during 2019-2023. The composition of the grass stands included such species as smooth brome, upright brome, sandy es-parcet, blue hybrid alfalfa and bird’s-foot trefoil. The effect of the drug on the photosynthetic activity of smooth brome, yield, proportion of the component and feed advantages during the sweeping / flowering phase with hay harvesting was studied. During the research, the positive effect of the stimulating drug Gumi-20M was revealed. The treated grass stands showed more intensive photosynthetic activity. When using Gumi-20M, the leaf surface area increases, as a result, the photosynthetic potential increases and the net productivity of photosynthesis changes. The leaf sur-face area in the pure grass stands of the smooth brome increases to 31,141 thousand m2/ha when using the drug, in three-component grass stands, the largest leaf area was noted in legumes – esparcet and alfalfa formed 24,799 and 24,563 thousand m2/ha, respectively. Photosynthetic potential and net photosynthetic productivity also increase with the use of the drug – 0.714 million m2•ha•days and 5.06 g•m2•day, respectively. The yield and feed value increase significantly when using the drug. It was possible to obtain more than 11 tons/ha of high-quality green mass from the treated grass stands. The predominance of the cereal component in the grass stands was revealed, the use of a stimulant partially contributes to an increase in the proportion of legumes. An increase in productivity was also found when legumes, especially esparcet and alfalfa, were included in the grass stands.
INFLUENCE OF ORGANOMINERAL FERTILIZERS ON THE ACCUMULATION OF HEAVY METALS IN CHERNOZEM SOILS UNDER CONDITIONS OF THE MIDDLE VOLGA REGION
Authors:   Samara State Agrarian University, Trots Natalya M. , Bokova Anna A. ,   Samara State Agrarian University
Published: February 2025

The purpose of the research is to develop methods for increasing the productivity of spring barley and minimizing the content of heavy metals through the use of complex organomineral fertilizers on ordinary chernozem in the central agroclimatic zone of the Samara region. In 2022 and 2023, field experiments were carried out to study the effect of various rates of organomineral fertilizers (OMF) on the content of heavy metals in the soil. The gross content and concentration of mobile forms of heavy metals (Cd, Pb, Zn, Cu, Mn, Fe) were below the accepted APC and MPC. The highest value of the gross content of Pb, Zn, Fe and Mn, as well as mobile forms of Fe, was found in the variants with the addition of OMF to the soil at a rate of N150P150, which exceeds the control by 3.6, 1.5, 1.6, 2.8 and 1.3 times re-spectively. The highest value of gross copper, 7.2 mg/kg, was observed in the N100P100 variant, and the mobile forms of Cu, Mn and Zn were observed against the background of ammonium nitrate. The gross content and concentration of mobile cadmium in all variants of the experiment was less than 1.0 mg/kg. Based on the values of the gross content of heavy metals in the soil, the clarks of concentration (Кк) and dispersion (Kp) of elements, as well as the concentra-tion coefficient (Kc), were calculated. In all variants of the experiment, manganese had the highest values of the con-centration coefficient Kc of 0.34-0.96 among the studied elements. Next in decreasing relative concentration values are zinc, lead and copper; in the control, Kc is respectively equal to 0.15, 0.12, 0.11. The concentration coefficient of iron varies from 0.10 to 0.17, the element is the most dissipative. Calculation of the soil geochemical index showed that the accumulating element is cadmium, while manganese, zinc, lead, copper and iron are dissipating.
The impact of digital transformation on green technology innovation in manufacturing enterprises: Empirical evidence based on text analysis
Authors: Zhang Fang , Tian Haoheng , Huang Lijia , Sun Xia
Published: February 2025

The research investigates how digital evolution affects innovation in eco-friendly technology within A-share listed manufacturing companies between 2010 and 2022. Employing textual examination to derive terms associated with "digital transformation" from yearly summaries, the study evaluates the extent of digitization in businesses. Findings indicate a substantial enhancement in green technology innovation due to digital transformation, with financial and economic development levels acting as mediators. Heterogeneity analysis reveals that the impact varies by ownership structure, financial market environment, and executive shareholding. This research proposes strategies to boost innovation in green technology via digital transformation, aiding in the sustainable growth of China's manufacturing industry.
Global level research output in brain death: a Scientometric analysis
Authors: Ravichandran S
Published: February 2025

The present study has analysed nearly the growth of research publications published during the study period from 2012 to 2021 with a sample of 5614 articles published in the field of brain death. The highest number of articles i.e. 652(11.61%) was published in the year 2020. Followed by the second-highest number of articles in 603(10.74%) were contributed in the year 2018. The RGR of an article has gradually decreased from 0.73 in the year 2013 to 0.10 in the year 2021 for the given study period. The doubling time of the publication of articles gradually increases from 0.94 in the year 2013 to 6.66 in the year 2021. The most prolific authors in the field of brain death, it is observed that Lewis, A. has contributed the highest number of articles i.e. 58(15.43%) research publications in the United States. The large majority of the research output is available in the form of Article 3550(63.23%) research publication, and , the country of United States contributed the highest number of articles which amounts to more than 1767(40.43%) of the total publication. The Institutions of with Harvard Medical School alone published 101(14.55%) articles, and the journals of found that Transplantation Proceedings is on the top of the list with the publication of 346(29.88%) publications securing the first rank. The time series analysis statistical application will be expected in the brain death research publications in the year 2025 is around equal to 1661 and in the year 2030 is around equal to 2211. So that time serious analysis confirmed that the publications on the brain death research are increasing trend. The highly cited paper Mallon D.H.; et.al (2023) Defining delayed graft function after renal transplantation: Simplest is best, Transplantation, 96 (10): 885-889. The citation of 219 and document type of article.
Partij-zijn van de vennootschap bij aandeelhoudersovereenkomsten
Authors: van den Berg N.J.
Published: February 2025

Partij-zijn van de vennootschap bij aandeelhoudersovereenkomsten. Relevantie en irrelevantie voor doorwerking

In deze bijdrage bespreekt de auteur in hoeverre het partij-zijn van de vennootschap bij een aandeelhoudersovereenkomst relevant is voor de vennootschapsrechtelijke doorwerking daarvan. Met een analyse vanuit contractenrechtelijk perspectief wordt een dogmatisch verankerd handvat geboden om doorwerkingsvraagstukken grondiger en systematischer te evalueren.
An IoT Application in a Smart Traffic Management System
Authors: Bhise Shailesh Shivajirao
Published: February 2025

Rapid urban development combined with rising vehicle numbers has caused intense traffic delays together with problems in transportation systems. The rise of serious traffic problems has created an urgent requirement to develop ground-breaking technology-based solutions. The implementation of IoT technology in smart traffic management systems proves to be an effective solution against these concerns through its smart traffic observing and modifying capabilities. IoT operates by collecting live data through advanced communication systems alongside predictive modeling to optimize transportation patterns and cut down delays and boost security levels on roads. The review paper examines different IoT-based smart traffic management solutions through analyses of available research documents. The document presents information about IoT architectures together with explanations of communication protocols along with data analytic principles and information regarding actual IoT implementations. Moreover the paper discusses the security threats along with scalability and infrastructure expenditure obstacles while it offers future research guidelines. This research focuses on discussing the present condition of IoT-based traffic management while providing recommendations for developing future progress.
Pelatihan Pengelolaan Keuangan dan Manajemen Produksi Karet pada Petani Karet di Pulau Harapan
Authors: Silvana Oktanisa  , Rosita Rosita  , Yusleli Herawati  , Meli Septiani  , Rizky R.C.  , Astri Febria  , Stenia R. Y.
Published: February 2025

This training was held in Pulau Harapan Village. Pulau Harapan Village is a village that has potential in rubber plantations. Most of its people live from rubber farming. In terms of income, people usually get paid from rubber farming once a week. People tend to find it difficult to manage their finances, which they think they only get a little from rubber farming and most of them only work as rubber farmers without any other jobs that produce income. In addition, rubber production is also not very good because most rubber farmers themselves do not understand the science of rubber production management. The purpose of implementing this community service activity is to provide knowledge to rubber farmers about financial management and rubber production management. The training was held for one day. From this training, it was discovered about the obstacles in the training, the results of the training obtained from the discussion and pre-test and post-test stated that rubber farmers had begun to understand about managing finances and understanding rubber production management. The results of this community service can be used as an initial step for further assistance to rubber farmer groups in Pulau Harapan Village.
Edukasi Etika Bisnis : Pengelolaan Usaha pada UMKM di Desa Rato Kecamatan Bolo
Authors: Muhammad Firdaus  , Kartin Apriani  , Wulan Rizki Ramdani  , Desi Fitrianingsih
Published: February 2025

Fostered partners are partners formed by KKN group III students in Rato Village, Bolo Subdistrict while business actors are those in the village of Rato with the type of business, namely typical regional snacks. This activity aims to provide knowledge to fostered partners and also business people in Rato Village about business ethics that partners need to have in doing business. The method offered to partners / SMEs is in the form of education / socialization using LEAFLETS which are carried out door to door. The material provided in the leaflet includes a discussion of (1) the role of ethics in doing business for MSME actors, (2) the benefits of doing business for MSME actors, (3) the application of ethical principles in doing business in financial, marketing, production and HR activities. The results of this activity show that flower pangaha MSMEs are very enthusiastic in listening and discussing during the activity. In addition, it can provide knowledge about ethics in running a business.
Morphofunctional Analysis of The State of The Rectum Under Stress (Literature Review)
Authors:   Ferghana Medical Institute of Public Health, Ferghana State University, Uzbekistan, Sh.X. Xomidchonova , V.A. Karimov ,   Ferghana Medical Institute of Public Health, Ferghana State University, Uzbekistan, A.R. Abdulxakimov ,   Ferghana Medical Institute of Public Health, Ferghana State University, Uzbekistan, P.X. Ganizhonov ,   Ferghana Medical Institute of Public Health, Ferghana State University, Uzbekistan
Published: February 2025

Stress-induced changes in the rectum involve structural and functional alterations affecting its integrity and physiological role. This study examines histological modifications in the rectal wall under immobilization stress, emphasizing epithelial integrity, vascular reactions, and connective tissue remodeling. Morphometric analysis reveals mucosal atrophy, increased inflammatory infiltration, and microcirculatory disturbances. Functional assessments indicate impaired motility and altered mucus secretion, potentially predisposing to chronic pathologies. These findings highlight the significance of stress as a factor in colorectal dysfunction and emphasize the necessity of preventive measures to mi.
Thе Rеlеvаnсе Оf Аnimаtiоn Аpprоасhеs In Tеасhing Еnglish in А Mоdеrn Еduсаtiоnаl Еnvirоnmеnt
Authors:   Rеsеаrсhеr аt thе Nаmаngаn Stаtе, Institutе оf Fоrеign Lаnguаgеs nаmеd аftеr I. Ibrаt, Uzbekistan, Оgli Mаhkаmоv Ziyоdbеk Nurmukhаmmаd
Published: February 2025

In thе mоdеrn еduсаtiоnаl lаndsсаpе, аnimаtiоn hаs еmеrgеd аs аn innоvаtivе аpprоасh fоr tеасhing Еnglish, аddrеssing сhаllеngеs suсh аs studеnt еngаgеmеnt, соmprеhеnsiоn, аnd mоtivаtiоn. This аrtiсlе еxplоrеs thе signifiсаnсе оf аnimаtiоn-bаsеd mеthоds in еnhаnсing lаnguаgе асquisitiоn, pаrtiсulаrly in divеrsе аnd tесhnоlоgy-drivеn сlаssrооms. It highlights hоw аnimаtiоn fоstеrs vосаbulаry аnd grаmmаr lеаrning, imprоvеs listеning аnd spеаking skills, аnd bridgеs сulturаl аnd linguistiс gаps. By lеvеrаging digitаl tооls аnd intеrасtivе plаtfоrms, еduсаtоrs саn сrеаtе еngаging аnd еffесtivе lеаrning еxpеriеnсеs tаilоrеd tо studеnts’ nееds. Thе аrtiсlе аlsо disсussеs сhаllеngеs suсh аs rеsоurсе соnstrаints аnd thе nееd fоr tеасhеr trаining whilе оffеring strаtеgiеs tо оvеrсоmе thеm. Аnimаtiоn аpprоасhеs, thеrеfоrе, rеprеsеnt а trаnsfоrmаtivе wаy tо mееt thе еvоlving dеmаnds оf Еnglish lаnguаgе еduсаtiоn in thе 21st сеntury.
Documenting the Key Challenges Facing Agroforestry Technologies in Vihiga County, Kenya
Authors:   Egerton University, Kenya, Endeki Reinhard , Makindi Stanley M. , Inoti Shadrack K. ,   Egerton University, Kenya
Published: February 2025

Agroforestry technologies have been proposed among development practitioners, policymakers, and social scientists as one of the critical strategies for strengthening agricultural production, ameliorating environmental degradation, increasing farmers’ resilience against climate change, and promoting livelihoods among rural communities. However, despite this wide recognition, the adoption rate and use of agroforestry technologies remains low in Vihiga County, Kenya, owing to various challenges farmers face. Therefore, the overarching goal of this study was to synthesize and document the various socioeconomic, institutional, ecological, and policy-related challenges facing agroforestry technology farmers in Vihiga County, Kenya. The study assumed a descriptive study design based on primary and secondary data. The sources for primary data for this study were key informants’ interviews, questionnaires, and observation. The results indicated that the main challenges facing agroforestry farmers in the study areas are land shortage (60%), lack of capital (15%), lack of seeds/seedlings (8%), competing land use (8%), lack of extension services (6%) and inadequacy of the technologies to sustain livelihoods (3%). Marketing constraints were also evaluated separately, and the results indicated that the key challenges limiting the sale of agroforestry products include poor prices (49%), high transport costs (19%), and competition from similar producers (12%), inadequate market information (13%), and exploitative middlemen (7%). Farmers' recommendations in resolving these challenges include improving farmers' access to agroforestry inputs (35%), provision of credit incentives (28%), and harmonization of land tenure policies (37%). In consonance with these findings, the study recommends a multifaceted approach involving various stakeholders both from the private sector in assessing the barriers to agroforestry development and designing strategies to streamline the identified challenges.
News Treatment of Terrorism and Political Instability as Social Issues and Shaping the Public Opinion through Agenda-Setting and Framing by Press in Pakistan
Authors: Nazir Farrukh , Bhatti Muhammad Bilal , Farooq Muhammad , Iqbal Nasir , Zain Muhammad
Published: February 2025

The primary goal was to investigate how media in Pakistan handled terrorism and political instability as social issues and shaped public opinion by setting agendas and framing stories. The study's goals were to examine how two dailies, Jang and Dawn, covered and framed the social issues of political instability and terrorism, to analyze distribution by gender when establishing the agenda and importance of each social issue, to examine public opinion as it relates to media agenda and to comprehend opinions of readers of the two dailies. It was found that Dawn newspaper, public opinion, and media agenda were closely related to terrorist problems but differed on political instability issues. In contrast, there was a strong correlation between Jang Newspaper's public opinion and media agenda on political instability and terrorism. Dawn primarily supported the US strategy against terrorism, whereas Jung primarily opposed the US strategy. On the subject of political instability, both newspapers primarily opposed government policy. In conclusion, Dawn provided greater coverage of the US policy, whereas Jang provided less coverage of it regarding the fight against terrorism.
Moving Forward With Collaboration
Authors: Angood Peter
Published: February 2025

Physicians continue to feel immense pressure in their healthcare roles. Technologies are changing the patient–physician interface, patients and families are demanding flawless care, and new models of care are encroaching on the traditional roles of “trusted” physicians. Perhaps a convergence of our professionalism is now competing with an inherent need to improve the stewardship of our industry. As physician leaders, we must learn to appreciate the genesis of these influences while also learning how to influence their outcomes.
How Money and Finances Work in Healthcare
Authors: Sacopulos Michael , Scheinbart Lee
Published: February 2025

In a recent episode of the SoundPractice podcast, host Mike Sacopulos engages in a discussion with Lee Scheinbart, MD, CPE, a seasoned hematologist/oncologist and experienced chief medical officer (CMO). Dr. Scheinbart shares his career journey from practicing medicine to taking on significant leadership roles, emphasizing the critical need for physician executives to acquire financial acumen, a skill often lacking in traditional medical training. The discussion highlights the evolving role of CMOs and the importance of understanding healthcare finances. Dr. Scheinbart elaborates on essential financial concepts such as length of stay, clinical documentation, and case mix index, and addresses the challenges CMOs face in translating financial information to practicing clinicians. He stresses the broader impact of healthcare economics on patient care and the necessity of strategic thinking in leadership. This episode underscores the value of financial literacy among physician leaders to drive organizational success and improve patient outcomes.
Incidência de síndrome de abstinência em crianças criticamente enfermas submetidas a um protocolo de descontinuação de analgesia e sedação em unidade de tratamento intensivo pediátrica em Brasília, DF
Authors: Sousa Ana Beatriz Peres , Feitoza Luanna Araujo , Souza Júnior Alcidésio Sales de
Published: February 2025

Introdução: A analgesia e a sedação realizada em pacientes pediátricos críticos internados em Unidade de Terapia Intensiva Pediátrica (UTIP) pode aumentar o tempo de internação, a tolerância e a incidência de síndrome de abstinência (SA). Avaliou-se a incidência de sinais de abstinência em crianças criticamente enfermas submetidas a protocolo de descontinuação de analgesia e sedação (PDAS) de uma UTIP em um hospital de Brasília, DF. Metodologia: Tratou-se de coorte prospectiva de crianças internadas em UTIP submetidas a PDAS. Foram inseridos pacientes com idade entre 1 mês e 14 anos, em uso de ventilação mecânica e internados por mais de 72 horas, em uso de opioides e benzodiazepínicos. Pacientes foram classificados de acordo com o PDAS em risco baixo, moderado, elevado e muito elevado. Dados foram coletados por meio de entrevista com o responsável presente no leito, aplicação da ferramenta WAT-1 e consulta ao prontuário eletrônico do paciente. O estudo foi aprovado pelo Comitê de Ética em Pesquisas (CEP) pelo CAEE 78210624.7.0000.5553. Resultados: Foram estudados 28 pacientes, com causas respiratórias como diagnósticos principais. Os pacientes foram classificados em risco baixo (n = 15, 53,6%), moderado (n = 9, 32,1%) e elevado (n = 4, 14,3%). A incidência de SA foi de 35,7% (n = 10) e 4 necessitaram de doses de resgate com morfina para alívio dos sintomas. Conclusão: A incidência de SA foi menor em relação à literatura consultada, embora não tenha mostrado diferença estatística entre os grupos estratificados por risco.
Positioning Georgia as a Leading Wine Tourism Destination: Key Strategies and Practices
Authors:   Grigol Robakidze University, Piranashvili Maka , Kadagidze Lamara , Dzimistarishvili Lizi
Published: February 2025

Despite Georgia's long-standing tradition and history of winemaking, which is inseparable from its cultural identity and economic development, significant challenges and gaps exist in effectively marketing this sector to both international and local visitors. Georgian wine culture, rooted in an 8,000-year-old tradition, features unique practices such as the use of Qvevri (clay vessels) for fermentation, and the diverse array of indigenous grape varieties like Saperavi and Rkatsiteli, reflecting the country's rich viticultural heritage. The research aims to identify and analyze marketing strategies that highlight these unique aspects to understand their effectiveness and explore potential improvements. This involves compiling surveys for both local and international tourists, and conducting interviews with wine tourism companies to gather insights and identify existing gaps. Key strategies include raising awareness through targeted campaigns aimed at average local and international tourists, and diversifying wineries by classifying them according to different regions of Georgia, each with distinct historical, cultural, and traditional as well as size and type attributes. Additionally, the integration of wine and food pairing into the broader gastronomic experience is essential, promoting the harmonious combination of Georgian wines with local cuisine to enhance the overall tourist experience. By addressing these strategies and gathering comprehensive insights from stakeholders, the research seeks to present practical recommendations that will help elevate Georgia as a premier wine tourism destination. This includes enhancing accessibility, diversifying wine tourism packages, and providing comprehensive information and practical experiences related to wine and food pairing. The strategic positioning of wine companies in the growing Georgian wine industry is crucial for business growth and ensuring long-term success. Ultimately, these efforts aim to contribute to the sustainable development of Georgia's wine tourism sector, fostering greater appreciation and engagement among both local and international visitors.
Contemporary challenges of the social housing fund and its legal regulation
Authors:   Grigol Robakidze University, Mosulishvili Amiran , Galdava Gulnazi , Ochigava Gocha , Khurtsidze Ia , Barnabishvili Sophio , Merebashvili Tornike
Published: February 2025

The scientific research article "Contemporary Challenges of the Social Housing Fund and its Legal Regulation" discusses the implemented housing reform using the example of Georgia, a country in the post-Soviet space. Within this context, concrete and effective steps have already been taken to replace the dilapidated residential houses inherited from the Soviet era. The reform presents an opportunity to create a necessary social housing fund for various vulnerable groups in the country. The article focuses on several key areas: a historical overview of the allocation of the housing fund, modern challenges, peculiarities of the municipal housing policy, an assessment of the need for the social housing fund, and a review of international experiences in its renewal. At the end of the article, the relevant aspects of the project to replace dilapidated multi-apartment residential houses are summarized as an important basis for creating a housing fund. The conclusion presents significant recommendations for effectively addressing the above-mentioned issues.
Análise descritiva da sintomatologia autorreferida de pessoas que vivem com HIV no momento da genotipagem em um serviço especializado dos Campos Gerais
Authors: Netto Felício de Freitas , Mansani Fabiana Postiglione , Marcondes Israel , Silva Letícia Fernanda da
Published: February 2025

O Vírus da Imunodeficiência humana (HIV) apresenta alto grau mutagênico e alta capacidade de integração ao genoma do hospedeiro, sendo capaz de criar mecanismos de resistência aos medicamentos da Terapia Antirretroviral. O exame de genotipagem é utilizado para detectar essas mutações, possibilitando uma reorganização do esquema terapêutico e a melhora do quadro do paciente. O presente estudo objetivou realizar uma análise descritiva da sintomatologia autorreferida em pessoas que vivem com HIV (PVHIV) atendidas em um serviço público na cidade de Ponta Grossa – Paraná no momento da genotipagem. A prevalência de genotipagem foi de 9,99%, além de que 23,15% dos pacientes a carga viral (CV) encontrava-se detectável pré-genotipagem e apenas 5,4% deles realizaram a CV pós o exame. Dos 321 indivíduos que referiam algum sintoma 8,41% fez o exame de genotipagem. O valor de p obtido, o qual relaciona a presença de sintomas com a genotipagem, mostrou um resultado significativo (>0,05) em relação a essas variáveis. Já quando os sintomas foram analisados individualmente, os resultados não se mostraram significativos, por isso, corroboram com a restritas e específicas indicações para a genotipagem citadas anteriormente.