bluuebunny/crossref_metadata_2025 huggingface dataset:
Returning of Irregular Migrants and Legal Certainty in Specific Central European States: A Comparative Perspective
Authors: Tchórzewski Mateusz
Published: December 2024

The study is dedicated to the question of returning irregular migrants from the point of view of issues related to legal certainty. The topic is approached from a comparative perspective considering chosen Central European states: Hungary, Poland, Slovakia, the Czech Republic, Croatia, Slovenia, and Romania. These countries are characterised by distinct approaches to addressing irregular migration. The study juxtaposes and analyses these approaches. A concise analysis of the notion of legal certainty is conducted. It emphasizes the importance of ensuring predictability from the point of view of affected migrants. The study then discusses the relevant pieces of legislation that regulate the situation of migrants in these particular states. Court decisions, including selected judgements of national constitutional and administrative courts as well as specific judgements of the Court of Justice of the European Union and the European Court of Human Rights, are considered. Certain tensions, related to the relationship between national law and the law of the European Union, can be observed in some instances. These tensions may be seen as detrimental from the point of view of realising the principle of legal certainty and should be addressed by either modifying the EU’s policies regarding migration or by granting Member States more discretion in terms of managing the aforementioned issue. This need is a result of divergent circumstances and related attitudes which exist in different states. These circumstances include, but are not limited to, the coercive engineered migration which should be viewed in the broader context of the security situation in Northern and Central Europe.
Limits and Use of European Union Competences: General Considerations in the Context of Policies on Border Checks, Asylum, and Immigration
Authors: Oręziak Bartłomiej
Published: December 2024

Competences of the European Union have recently become an increasingly interesting issue from a scientific viewpoint. This is primarily because of the lawmaking activity of European Union institutions, particularly the Court of Justice of the European Union and European Commission. This study aims to analyse the boundaries and rules for exercising the European Union competences in the field of migration and refugee law. The key for this analysis is the principle of conferral, which is of fundamental importance for the limits of European Union competences because of the sovereignty of the subjects of public international law. Moreover, the principles of proportionality and subsidiarity are invoked as determinants for exercising European Union competences. This study explains the meaning of these three principles, particularly focusing on the treaty image of the principle of conferral in the European Union. In this context, it also presents the phenomenon of competence creep described in the literature. The analysis is based on the primary law of the European Union, especially the relevant provisions of the Treaty on European Union and Treaty on the Functioning of the European Union, as a model for the scope of sovereign states’ consent while considering the principle of conferral. Further, the study analyses the secondary law of the European Union regarding its compliance with the primary law, specifying the scope of the European Union’s competences and determining current European Union standards for border checks, asylum, and immigration policies. Consequently, it analyses the decision-maker’s choice regrading compliance of the detailed scope of the European Union competences when encountering doubts that cannot be resolved using a literal or systemic interpretation, that is, where it is necessary to refer to a purposive interpretation. The study concludes with a concise summary proposing how to solve the identified problem.
Visualizing the Knowledge Domain of Research on Cognates: A Bibliometric Analysis
Authors: Cheng Junlong , Wang Yu
Published: December 2024

Cognates constitute an essential aspect of lexical processing, and numerous scholars have made significant contributions to studying their processing patterns, influential variables, and theoretical models. However, there has been a lack of systematic reviews that comprehensively examine the body of research on cognates, including their primary research topics, theories, findings, and future directions. The present study conducted a bibliometric analysis of the 726 recordings from 2001 to 2021 retrieved from the Web of Science database. The results revealed that: (1) studies on cognates were mainly conducted in countries using alphabetic languages; (2) cognate processing remains as the focus in the research domain; (3) cognate effect are modulated by factors at word, task, and participant level; (4) BIA+ model is widely used to account for cognate processing. The limitations and potential implications for future cognate research are discussed.
The Nexus of Logistics and Social Control: Mass Surveillance in the Digital Era
Authors: Pache Gilles
Published: December 2024

Modern logistical technologies—such as the Internet of Things (IoT), delivery drones, and blockchain—are increasingly employed as tools for mass surveillance, raising significant concerns about individual privacy. The traceability of logistical flows facilitates not only the tracking of products but also extends to individuals, generating data that is frequently repurposed to control or influence behavior. In smart cities, for example, citizens’ movements and consumption habits are monitored in real-time, further undermining the notion of anonymity. This trend reflects a model of “consensual surveillance,” where individuals willingly exchange personal data for perceived benefits, such as convenience or customized services, often without fully grasping the extent of its commercial exploitation. Mass surveillance raises pressing ethical issues, including risks of algorithmic bias, discrimination, and increased social control by governments or corporations. While regulatory frameworks aim to protect individual rights, they frequently struggle to keep pace with the innovation in logistical technologies. Addressing the societal challenges posed by mass surveillance requires a delicate balance between fostering technological progress and preserving fundamental liberties. Achieving this balance calls for the integration of ethical principles and the development of transparent supply chain solutions that prioritize privacy protection.
Beyond the Financial Balance Sheet: Embracing the Triple Bottom Line for Sustainable Business Success
Authors: Ngomsik Audrey-Flore , Vermeersch Leen
Published: December 2024

Our decisions today are part of an economic thinking which aims to fix problems and increase the efficiency of capital markets. Our economy is still largely approached as a system which is unrelated to our environment or social returns like community well-being, social cohesion, equitable distribution of resources, etc. To fully incorporate sustainability into cost-benefit analysis, businesses need to change their financial approach, showcasing how long-term thinking impacts profits. Money's value is not static and evolves with time and technology. We propose to introduce a variation of cost/benefit and present value calculations. Precise calculations reveal the benefits of long-term strategies over short-term profit focus. As financial systems evolve and technology advances, the accurate calculation of money's time value will continue to play a crucial role in shaping economic landscapes and guiding financial choices. In this article, we demonstrate that updated calculations could be a key enabler to visualize the benefits of long-term thinking or “patient finance” as compared to a short-term focus on profit. We introduce the concept and calculation of a Present Future Value (PFV).
Analysis of the Effects of Straightening and Aging on the Mechanical Properties of Low and Medium Carbon Steel Wire
Authors: Candido Neto Moisés Moura , De Oliveira Matheus José Cunha
Published: December 2024

The steel industry represents a sector of great importance in the production chain, being directly related to the economic development of the world. The straightening process, an important phenomenon of plastic deformation during steel production can bring changes in the results of mechanical properties. The goal of this study is to analyze the interaction between the variables involved in the natural strain ageing, straightening (manual and mechanical) and in the chemical composition (low and medium carbon steels) of the wire rod, being the variation of the mechanical properties - through the tensile test – and microstructural – from the microstructural characterization – the analysis parameters. The results indicate a trend towards an increase in the yield and resistance limits of the materials that were submitted to the straightening and strain aging process, and it is possible to notice the pattern, from the contour and response surface graphs, that the higher the levels of straightening and percentage of carbon, the higher the values of yield strength and resistance.
A Aplicação do Design Thinking na Resolução de um Problema Complexo de Engenharia Estrutural
Authors: Alves de Souza Rafael
Published: December 2024

O Design Thinking (DT) pode ser entendido como uma ferramenta estratégica de resolução de problemas, aplicada às mais diversas áreas do conhecimento, e que em função de suas características, estimula fortemente a criatividade e, consequentemente, a inovação. Uma vez que a engenharia estrutural é muitas vezes caracterizada pelo trabalho solitário e individualista do engenheiro de estruturas, o presente trabalho tem por objetivoapresentar as principais características do DT aplicadas a essa área específica, estimulando assim um processo coletivo de trabalho. Devido ao fato do DT ser um processo altamente interativo, a abordagem é sempre norteada pela colaboração, experimentação e empatia, consolidando assim a ideia de que quando há reunião de profissionais com mentes diversificadas, construindo em conjunto, há uma complementação dos conhecimentos, que estimula o surgimento de respostas melhores do que aquelas que seriam obtidas de maneira individual. Assim, de maneira a ilustrar as potencialidades do DT, um problema complexo de engenharia estrutural foi selecionado para a aplicação dessa abordagem. Pode-se concluir que a utilização do DT, em conjunto com os conhecimentos específicos, possibilitou a obtenção de uma solução econômica, eficiente e criativa para uma situação extremamente emergencial.
Colors of Subjection: Linguistic Utterances on (Homo)Sexuality in an Evangelical Church
Authors: Rausch Antônio Augusto Lemos , Prado Marco Aurélio Máximo
Published: December 2024

This article discusses the discourses of religious leaders on the inclusion of homosexuality in evangelical churches, highlighting the theological and biblical interpretations present in the evangelization practices of a ministry aimed at LGBT individuals. Based on the concepts of censorship, closet and subjection, we understand how these discourses on homosexuality operate a double movement of constraint and recognition, materializing the prohibition of homosexuality in the religious context. To this end, the discourse of religious leaders, evangelistic materials, news and posts on social networks are analyzed. The article concludes that the homosexual subjects and their presence within the church are understood as different parts of a body, each representing a different ministerial “function” or a gift granted by divine grace.
Surgical Trends in Use of Lumbar Disk Arthroplasty Versus Lumbar Fusion From 2010 to 2021
Authors: Ng Mitchell K. , Nian Patrick P. , Saleet Jayson , Mastrokostas Paul G. , Rodriguez Ariel N. , Tabbaa Ameer , Bou Monsef Jad , Razi Afshin E.
Published: December 2024

Introduction:

Lumbar disk arthroplasty (LDA) is a relatively novel procedure with limited indications and use in the United States, especially relative to lumbar fusion (LF). This study aimed to determine surgical trends between LDA versus LF over the past 10 years to quantify absolute/relative surgical volume over time and compare baseline patient demographics, readmission, 2-year revision rates, and costs-of-care.

Methods:

A total of 714,268 patients were identified from a nationwide database who underwent LF (n = 710,527) or LDA (n = 3,741) from 2010 to 2021. The percentage of patients managed by each surgical procedure was calculated overall and subdivided annually. Baseline demographics were compared between surgical groups, comparing postoperative readmission rates and 2-year revision rates. Linear regression modeling was done to evaluate trends/differences in procedural volume by year.

Results:

Beginning in 2010 to 2011, LDA constituted 1.0% of procedures, before the number/proportion of LDA procedures to LF has slowly dropped (1% in 2010 to 0.6% in 2021, P > 0.05). Patients undergoing LDA were younger (42.7 vs. 60.9 years, P < 0.0001) with a higher male proportion (50.9 vs. 42.8, P < 0.0001) and a lower Elixhauser Comorbidity Index (2.5 vs. 4.6, P < 0.0001). Patients undergoing LDA had lower rates of readmission (3.8 vs. 7.6%, P < 0.0001). Both LDA and LF average same-day reimbursements elevated sharply from 2010 to 2015 before decreasing to values lower than initially at 2010, with LF demonstrating a greater reduction in costs ($10,600 vs. $2,600, P < 0.05), although LDA remains cheaper ($2,900 vs. $5,300, P < 0.05).

Conclusion:

The surgical volume of LDA has remained steady while dropping in proportion relative to LF over the past decade. Although patients undergoing LDA are younger and have both fewer baseline demographic comorbidities and lower readmission rates, surgeons remain hesitant to perform this procedure over LF.

Study Design:

Retrospective Cohort Study, Level III Evidence.
Meningkatkan Hasil Belajar Peserta Didik dengan Model Problem Based Learning (PBL) Menggunakan Kuis Interaktif Mata Pelajaran IPAS Kelas VI SD Negeri 101771 Tembung
Authors: Fadila Sindi , Fitriah Fita , Nurhafni Nurhafni , Mariana Mariana
Published: December 2024

This research began with the learning conditions that occurred at SD Negeri 101771 Tembung which requires students to be responsible for their learning outcomes, with learning that is always monotonous to package books, new innovations are needed in carrying out creative learning with a problem-based learning model. This research aims to improve student learning outcomes through technology-based interactive quiz media, namely using a Wordwall application with a based learning model. This research was carried out in class VI A SD Negeri 101771 Tembung which was carried out in August 2024 with a research object of 32 students. The research was carried out with as many as 2 (two) cycles and 1 (one) cycle consisting of 1 (one) meeting. The results of the study concluded that learning with the problem-based learning method assisted by technology-based interactive quizzes has a positive impact on improving student learning outcomes, characterized by the completeness of student learning in the second cycle. This increase is due to students' interest in using interactive quiz media and raising their sense of competition in achieving maximum learning outcomes. The application of this quiz method can increase students' motivation and enthusiasm for learning which has an impact on improving student learning outcomes.
Organizational Effectiveness of The Indonesia Halal Industrial Estate
Authors: Prasetyo Aji , Yazid Muhammad , Ismatul Khayati
Published: December 2024

Halal Industrial Estates were built in Indonesia for the purpose of making Indonesia the center of the world's halal destinations. Halal Industrial Estates that have received licenses include the Halal Industrial Park Sidoarjo (HIPS), East Java. HIPS has only been operating for 3 years. As one of the industrial estates that focuses on MSME business investors, HIPS deserves the spotlight of this research regarding the extent of organizational effectiveness that has been implemented. On the one hand, HIPS has been able to demonstrate its organizational effectiveness by obtaining business actors who invest in the area. Products produced by business actors in the HIPS area can be guaranteed halal because from the beginning of entering the area they must be halal certified. Although indeed the quantity of investors in HIPS has not been maximized to make HIPS the main barometer of Indonesia's halal destinations in the eyes of the world.
Pemberdayaan Masyarakat dalam Mewujudkan Lingkungan Bersih di Desa Labruk Kidul
Authors: Ghofur Abdul , Darwis Mohammad , Syuhud  , Zahroh Aminatuz , Mufid Satuyar
Published: December 2024

Program pemberdayaan masyarakat diwilayah pedesaaan idealnya dilaksanakan tidak dengan sekali waktu. Hal ini menjadi sangat penting untuk menjaga aspek keberlanjutan dan mencapai tujuan secara maksimal. Masyarakat didesa labruk kidul menjadi sasaran program pemberdayaan mengingat dengan banyaknya penumpukan sampah yang menjadi permasalahan lingkungan warga setempat. Tujuan dari program pengabdian masyarakat ini adalah untuk meningkatkan pemahaman dan keterampilan masyarakat desa dalam pengelolaan sampah untuk mewujudkan lingkungan desa labruk kidul yang bersih. Tahapan dalam program pemberdayaan ini melalui tiga metode yaitu persiapan, pelaksanaan, dan evaluasi. Metode persiapan dilakukan dengan metode focus discussion bersama warga dan observasi lapangan. Metode pelaksanaan dilakukan dengan metode penyuluhan, pelatihan dan pendampingan. Sedangkan metode evaluasi dilaksanakan dengan metode diskusi dengan mitra. Hasil kegiatan ini menunjukkan bahwa pemahaman dan kompetensi warga mengalami peningkatan kearah yang lebih baik. Hasil kegiatan ini dilakukan dengan pendampingan masyarakat.
Evaluation of clinical and laboratory findings in patients with atopic dermatitis: A retrospective study
Authors: Oksel Betul , Karaman Ozkan , Atay Ozge , Boyacioglu Ozge , Al Serdar , Asilsoy Suna , Uzuner Nevin
Published: December 2024

Aim: Atopic dermatitis (AD) is a chronic, itchy inflammatory skin disease. This study aimed to examine the clinical features, investigate laboratory test results, and evaluate disease prognosis using allergy tests in patients with AD.
Materials and Methods: This retrospective study analyzed patient demographics, clinical characteristics, and laboratory data, including serum eosinophils, serum total IgE, other immunoglobulin (Ig) levels, skin prick test results, and patch test results.
Results: A total of 564 patients were diagnosed with AD, of whom 343 (60.8%) were boys. Skin prick tests were positive in 138 (35.1%) patients. Eosinophilia was more common in patients with food sensitivity within the first year of life (p<0.001). Patch test hypersensitivity was observed in half of the 32 patients tested. During follow-up, tolerance developed in 67.4% of 123 patients. Girls developed tolerance to foods earlier than boys (p=0.005). Sensitivity to inhaled allergens was higher in patients who developed tolerance after 2 years of age compared to those who developed tolerance before 2 years (p=0.001).
Conclusion: Elevated serum eosinophil counts in AD patients within the first year of life may indicate a higher risk of food sensitivity. Atopy patch tests may help clarify food allergies, and clinicians should consider that AD patients are at risk for aeroallergen sensitivities in addition to food sensitivities.
A comprehensive analysis of pharmacotherapy in the management of acute organophosphorus poisoning: A retrospective observational study
Authors: Neog Parthajyoti , Nuzhat Qudsia , Nagesh Simhadri , Bairagi Kaustav , Singh Sujata
Published: December 2024

Background:
Organophosphorus is an insecticidal poison. Acute organophosphorus poisoning in humans is common in the rural population of the developing world. Proper diagnosis and suitable management are always important to save a life in those cases. A very limited number of drugs are available to treat such type of poisoning incidents. The purpose of this study was to determine the pharmacotherapy and outcome of acute organophosphorus poisoning cases.

Aim:
To determine the pharmacotherapy of acute organophosphorus poisoning and to analyze the pharmacotherapy respective to the poisoning cases and outcome

Methods:
A retrospective observational study was conducted for a one-year duration after getting approval from the institutional ethical committee. Patients of either sex with acute organophosphorus poisoning were collected from the records of the medical emergency department of the hospital with the details of poisoning, signs and symptoms of poisoning, pharmacotherapy, duration of hospital stay, and outcome. The analysis was done with the help of Microsoft Excel software (Microsoft Corporation. Microsoft Excel 2019).

Results:
We got a total of 21 acute organophosphorus poisoning cases, where 10 (47.61%) patients were male and 11 (52.38%) patients were female. During the management, 18 different types of drugs were used, where atropine (90%) was the most common drug followed by ceftriaxone (57%) and Pralidoxime (57%). The most common signs and symptoms were vomiting (81%), pain in epigastrium (38%), drowsiness (28%) and salivation (23%). 17 patients (81%) of the total cases survived, while 4 patients (19%) expired during the management.

Conclusion:
Atropine was the most common drug used in the management of acute organophosphorus poisoning. Signs and symptoms related to the central nervous system and the gastrointestinal systems were common and the average duration of hospital stay was four days.
A New Hybrid Method for Classification of Rice Leaf Diseases: SVM+NCA+Resnet50
Authors: Bingöl Harun , Aslan Serpil
Published: December 2024

Rice is extremely important for individuals and countries, both in terms of nutritional value and financial value. It is necessary to protect such an important plant from diseases and increase the yield. However, early detection of diseases on plant leaves can prevent the spread of this disease and is also very important in terms of treating the plant. Artificial intelligence has become very popular in recent years thanks to its success in terms of disease classification. CNN architectures used in image classification perform very successful work. Within the scope of this study, it is recommended that the diseases on rice leaves be classified using artificial intelligence techniques, without mixing them with each other, with very high accuracy values, and without any problems caused by humans. With this proposed model, a support vector machine-based model is proposed that classifies five (5) of the most common rice diseases with a very high accuracy of %98.
INVESTIGATION OF EXPANDED CLAY AGGREGATE AND PINE RESIN ADDED PLASTER WITH CEMENT IN BIOMEDICAL MATERIAL STORAGE INSULATION
Authors: Biçer Ayşe
Published: December 2024

In this study, the aim was to produce cement-plaster with expanded clay aggregate and pine resin as additives to enhance the strength for the preservation of medical and biomedical materials in storage facilities, without being affected by heat and humidity, instead of traditional aggregates. In the prepared samples for the experimental study, expanded clay aggregate with particle sizes of 0-2 mm and 2-4 mm was mixed with cement binder in weight percentages of 20%, 40%, 60%, and 80%. Additionally, resin was added to the mixtures in weight percentages of 0%, 0.5%, 1%, and 2%. A total of 32 samples were produced. In the study, resin-enhanced CEM IV/B 32.5 R type pozzolanic cement were used. As the amount of resin added to the samples increased, the thermal conductivity and compressive strength decreased. The lowest thermal conductivity was observed in samples with 2-4 mm particle size, 80% expanded clay aggregate, and 2% resin content in cement-based samples at 0.152 W/mK.
The highest compressive strength was observed in cement-based samples, with 22.5 MPa for the resin-free sample containing 0-2 mm particle size and 20% expanded clay aggregate. The water absorption rate of the samples remained below the critical value of 30% in cement-based samples.
Biopolymers: An Introduction and Biomedical Applications
Authors: Mohammed Safar Saeed , Mahmood Amjad
Published: December 2024

Biopolymers are an important type of biomaterials that have many important applications in different fields of modern technology due to their important properties. One of these fields is the medical field, where biopolymers play a significant role due to their suitability for using in this field. This study reviews the academic work done in the literature on the analysis of different types of biopolymers such as chitosan, hyaluronic acid, collagen, alginates, silk fibroin, polyhydroxyalkanoates (PHA), poly(lactic-co-glycolic acid) (PLGA), gelatin, and polysaccharides including cellulose, starch, pectin, elastin, and keratin. Also, the most important medical properties and their biomedical applications are presented and explained. After reading this work, we will become familiar with different types of biopolymers, and it turns out that biopolymers have many unique biomedical properties such as non-toxicity, biodegradability, and biocompatibility. Based on these properties, biomaterials have many applications in medicine, including medical delivery, tissue engineering, healing wounds, and medical imaging devices.
Effect of Heat Treatment on Some Thermodynamics Analysis, Crystal and Microstructures of Cu-Al-X (X: Nb, Hf) Shape Memory Alloy
Authors: Öner Ecem , Ateş Gonca , Mohammed Safar Saeed , Kanca Muhammed , Kök Mediha
Published: December 2024

Abstract:
Heat treatment is an important technique that can improve the properties of shape memory alloys. In this study the effect of heat treatment at three different temperatures (973 K, 1073 K and 1173 K) on some thermodynamics parameters, crystal structure, and microstructure of Cu_86 Al_12 Nb_2 and Cu_86 Al_12 Hf_2 (mass %) Shape Memory Alloy has been investigated. After heat treatment, the change in the thermal properties of the samples was determined using Differential Scanning calorimetry (DSC). The effect of heat treatment on the crystal and microstructure of the alloy samples were determined at room temperature using X-ray diffraction (XRD), Scanning Electron microscopy (SEM) device. The DSC result showed that in both samples the temperature hysteresis was decreased after heat treatment. Also grain size was decreased by increasing the treatment temperature in both samples. And finally, optical images represented that Hafnium (Hf) is more dissolved in the alloy compared to Niobium (Nb).
Synthesis, Characterization and Biological Activities of Novel Chiral Bis 1,2-diolcarbothioamides
Authors: Karatepe Arzu , Koparır Pelin , Daştan Taner , İnci Şule , Keser Serhat , Çetin Ahmet
Published: December 2024

2,2'-[(2R,3R)-2,3-dihydroxy-1,4-dioxobutane-1,4-diyl]bis(N-aryl-alkylhydrazine-1-carbothioamide (T1–5) were obtained by the interaction of (2R,3R)-2,3-dihydroxybutanedihydrazide (1) with five different isothiocyanate alkyl(aryl) derivatives. The structures of the final compounds were confirmed by elemental analyses, FT-IR, ¹H-NMR and ¹³C-NMR. The antioxidant, antimicrobial and anticancer properties of the synthesized compounds were also investigated. Three of the triazole derivatives with p-tolyl, benzyl and phenyl substituents (T3–5) displayed good antioxidant and anticancer activity in comparison to the standards.
Synthesis and Optical Properties of 2-(4-trifluoromethylphenyl)-3-(4-methoxyphenyl) Acrylonitrile (4MPAN-TFMP) Compounds
Authors: Babali Özen Leyla , Özen Furkan , Gündüz Bayram , Turgut Cin Günseli
Published: December 2024

The 2-(4-Trifluoromethylphenyl)-3-(4-methoxyphenyl) acrylonitrile (4MPAN-TFMP) compound was successfully synthesized and characterized using standard spectroscopic methods. Thin films of 4MPAN-TFMP were prepared by conventional spin-coating, with varying film thicknesses to investigate the thickness-dependent optical and photonic properties. UV-Vis spectra of the compounds in DMSO were recorded, and key parameters such as absorption (Abs), transmittance (T), absorption band edge (EAbs-be), optical band gap (Eg), and refractive index (n) were determined. The findings highlight the material’s potential for optoelectronic applications, as optimized film thicknesses can enhance material efficiency for various uses. This advancement offers promising implications for developing high-performance photonic devices and improving optoelectronic circuit components.
Boar feeding grounds : how wild boar populations affect localised landscapes and ecosystems
Authors: Augustsson Evelina
Published: December 2024

The recent recolonisation of wild boar (Sus scrofa) across the Swedish landscape has caused substantial impacts on agriculture and has raised concerns about potential consequences for local ecosystems. This thesis aims to enhance our understanding of how wild boar activities affect various ecosystem and landscape elements, as well as to investigate the role of supplementary feeding in mitigating their impact. By combining long-term telemetry data and purpose-directed manipulative experiments, I assessed the impacts of wild boar at various ecological scales. I found that wild boar have extensive and direct effects on agriculture, as well as on both faunal and floral communities. My results suggest that foraging habits of wild boar are expected to continue causing adverse effects on crops and farmland, and that the effectiveness of supplementary feeding in mitigating damage caused by wild boar to agricultural areas remains uncertain. Within the Swedish forest landscape, where modern forestry practices predominate and few natural disturbances occur, wild boar rooting behaviour may provide an ecologically significant form of disturbance that enhances biodiversity. Changes at a broader ecosystem community scale may result from altered resource use by sympatric ungulate species and potential cascading effects following changes in plant communities and habitats. The findings of my thesis indicate that with an inevitable growth in wild boar populations, we may face substantial impacts on habitats and biodiversity, with both positive and negative outcomes. Moreover, human-driven ecological manipulations, such as supplementary feeding, are likely to accentuate these effects and should, therefore, be considered from a broader perspective before implementation.
PRÁTICAS COLABORATIVAS: RELATO DA EXPERIÊNCIA INTERDISCIPLINAR ENTRE ESTUDANTES DE FISIOTERAPIA E MEDICINA DA UNIVATES
Authors: Goethel Nicole Sturza , V Magali Quevedo , Ariotti Paola , Rempel Claudete , Mallmann Pâmela Braga , Fleig Tania Cristina , Silva Laura Lemes da , Ecco Joana
Published: December 2024

A formação acadêmica deve ser capaz de desencadear uma visão integral, de interdependência e de interdisciplinaridade, além de possibilitar mudanças sociais, consciência individual e coletiva, em busca de métodos inovadores, que admitam uma prática pedagógica ética, crítica, reflexiva e transformadora, na dialética da ação-reflexão-ação. O objetivo deste estudo foi descrever a experiência colaborativa e interdisciplinar entre estudantes de Medicina e de Fisioterapia da Universidade do Vale do Taquari – Univates/Lajeado/RS, mediante atividades integradas de avaliação e intervenção em pacientes com sequelas neuromotoras. Trata-se de um estudo de caráter descritivo, mediante relato de experiência e revisão bibliográfica, cujas atividades seguem a metodologia do Arco de Maguerez, com estudantes do quarto semestre do Curso de Medicina no componente curricular de semiologia neurológica e estudantes do décimo semestre, em Estágio Ambulatorial, do Curso de Fisioterapia. Resultados: Foram realizados sete encontros colaborativos entre os estudantes de ambos os cursos, na clínica-escola de fisioterapia da referida Instituição. Nestes, os acadêmicos da Medicina, divididos em quatro grupos de dez, acompanharam dezoito pacientes que estavam sob responsabilidade de onze estagiários da Fisioterapia, durante 4 semanas, cada grupo. Conclusão: Conforme os envolvidos, práticas colaborativas entre estudantes de diferentes cursos, durante a graduação, favorecem a troca de experiências e a construção de um conhecimento mais significativo, potente e eficaz.
SELF-VALUE-ORIENTED PSYCHOLOGY AND PSYCHOTHERAPY – A NEW DIRECTION IN PRACTICAL PSYCHOLOGY
Authors: Цветкова Н.И.
Published: December 2024

В статье описывается направление практической психологии «самоценностно-ориентированная психология и психотерапия», в основе которой лежит авторская самоценностная теория личности, исходящая из представлений о дуальной природе человеческой психики, в которой два «я»: Личность и Индивидуальность. Отношениями между ними внутри себя объясняется возникновение психологических проблем в человеке, когда нарушается самоценность, приводящая к Внутреннему конфликту. В статье определены ключевые понятия для понимания подхода.

The article describes the direction of practical psychology «self-value-oriented psychology and psychotherapy», which is based on the author’s self-value theory of personality, based on ideas about the dual nature of the human psyche, in which there are two «I»: Personality and Individuality. The relationship between them within oneself explains the emergence of psychological problems in a person when self-worth is violated, leading to Internal conflict. The article defines key concepts for understanding the approach.
EXPERIENCE OF HAGIODRAMA IN THE ZONE OF A SPECIAL MILITARY OPERATION
Authors: Огороднов Л.М. , Воищева Н.М.
Published: December 2024

Агиодрама является психотерапевтическим инструментом, позволяющим через психодраматическую постановку жития святого работать с ценностно-смысловой сферой личности путем проигрывания трансцендентных ролей. Выстраивание перспективы трансцендентного будущего вносит свой вклад в развитие проактивности как смыслоцентрированного свойства взрослой здоровой личности, значимого для преодоления посттравматического стрессового расстройства. В условиях военных действий и комбатанты, и жители охваченных войной территорий подвержены высокому риску развития ПТСР. Статья посвящена описанию двухнедельного опыта агиодраматической работы с комбатантами и жителями Донецкой народной республики в Медико-психологическом центре при Республиканской клинической психоневрологической больнице в Донецке.

Hagiodrama is a psychotherapeutic tool that allows, through the psychodramatic staging of the life of the saint, to work with the value-semantic sphere of personality by playing transcendental roles. Building a perspective of a transcendent future contributes to the development of proactivity as a meaning-centered property of an adult healthy personality, significant for overcoming post-traumatic stress disorder. In the context of military operations, both combatants and residents of war-torn territories are at high risk of developing PTSD. The article describes the two-week experience of hagiodramatic work with combatants and residents of the Donetsk People's Republic in the Medical and Psychological Center at the Republican Clinical Neuropsychiatric Hospital in Donetsk.
AI-DRIVEN BRIDGING LOCAL SELLERS AND GLOBAL BUYERS
Authors: E L Arun Balajee , S Boopathiraja , K Kaviya , A Subasri , K Jason
Published: December 2024

This project aims to create an accessible digital
platform tailored for small-scale businesses, enabling
them to engage in cross-border e-commerce and global
trade with minimal complexity. By leveraging the
MERN stack (MongoDB, Express, React, Node.js),
the platform provides a responsive and scalable
solution that connects local producers with a global
customer base. Small-scale industries often face
barriers in reaching international markets, from supply
chain complexities to payment processing
challenges.This platform addresses these obstacles by
simplifying logistics, incorporating multi-currency
support, and securing transactions through integrated
payment gateways.The core features, such as real-time
order tracking and streamlined supply chain
management, empower small businesses to operate
with the same efficiency as larger enterprises. Buyers
can browse products from local producers, pay in their

currency, and track shipments globally, making cross-
border shopping more accessible. This project bridges

the gap between local and international markets,
fostering growth for small-scale industries and
expanding their reach to a worldwide audience. By
reducing the traditional costs and complications
associated with global trade, this platform offers an
efficient pathway for small businesses to scale their
operations beyond local borders.

Keywords: AI-Driven Solutions, Cross-Border E-
Commerce, Small-Scale Industries, Global Buyers

and Local Seller, MERN Stack, Inventory
Management, Real-Time Order Tracking, Secure
Payment Gateways, Logistics Simplification,
Customer Engagement, Customer Trust and
Satisfaction.
Assessing Faculty Satisfaction in Higher Education: A Comprehensive Survey on Health and Financial Security
Authors: Sundaram P
Published: December 2024

This study investigates the key factors influencing faculty satisfaction in higher education institutions, with a
specific focus on health and financial security. As higher education institutions face evolving challenges in faculty
retention and well-being, understanding the interplay between health-related concerns and financial stability is
crucial for enhancing faculty satisfaction and institutional effectiveness. Through a comprehensive survey of
faculty members across diverse academic fields and institutional types, this research examines the correlation
between perceived job satisfaction and factors such as healthcare benefits, job security, salary adequacy, and
overall financial well-being. The study also explores how these elements impact faculty performance, engagement,
and retention. Findings reveal that while salary and health benefits are significant contributors to faculty
satisfaction, variations exist based on institutional context and demographic factors. The paper concludes with
recommendations for higher education policymakers and administrators to improve faculty support systems,
fostering a more sustainable and productive academic environment.
Enhancing Insider Threat Detection through Integrated Behavioral, Signature and Anomaly based Detection Methods
Authors: Palaparthy Keerthana , Reddy Y. Manohar , Paul Jatoth Victor , Raju S
Published: December 2024

Insider threats present substantial risks to
organizational security, as malicious actors exploit their
authorized access to systems, networks, or data to perpetrate
harmful activities. These threats encompass various forms,
including data theft, sabotage, fraud, or espionage, leading
to significant financial losses, reputational damage, or
regulatory penalties. Traditional approaches to insider
threat detection, such as anomaly-based, signature-based,
and behavioral analysis methods, have inherent limitations,
including high false positives, reliance on known patterns,
and lack of contextual understanding. These approaches
often fail to classify insider threats accurately, potentially
leading to innocent insiders being mislabeled as malicious.
In this project, a unified insider threat detection system is
proposed, integrating anomaly-based, signature- based, and
behavioral analysis methods using Support Vector Machines
(SVMs). By combining these methods and leveraging the
strengths of SVMs, the aim is to address the limitations of
individual approaches and enhance detection accuracy.
Weighted voting is employed to fuse the output of each
detection method, providing a comprehensive likelihood
estimate of insider threats. This integrated approach enables
organizations to better identify and mitigate insider threats,
safeguarding sensitive assets and maintaining a robust
security posture.
Keywords— Insider threat, Insider threat detection,
Signature- based detection, Anomaly-based detection,
Behavior analysis, False positives, Detection accuracy,
Weighted Voting Mechanism.
Review Analyzer
Authors: Nagaraju Dr. V Siva , Agarwal Vishesh , Vedagna R.
Published: December 2024

This project focuses on leveraging generative
AI to analyse user reviews from the Play Store for
diverse applications. By utilizing advanced large
language models (LLMs), the system processes
extensive user feedback to identify key trends,
sentiments, and actionable insights. The AI analyses
reviews to categorize overall user sentiment (positive,
negative, or neutral), highlight recurring issues, and
identify popular feature requests.
The generative AI’s capabilities enable it to provide
nuanced suggestions to developers, such as improving
app functionality, addressing common complaints, and
implementing features aligned with user preferences.
Additionally, the system can generate concise
summaries of user reactions, offering developers a clear
understanding of their app's strengths and areas needing
improvement.
This data-driven approach enhances app development by
prioritizing updates based on real user needs, improving
user satisfaction, and fostering higher ratings on the Play
Store. The integration of generative AI streamlines the
review analysis process, ensuring actionable
recommendations for sustained app success.

Key Words: Generative AI, Large Language Models
(LLMs), sentiment analysis, App improvement, review
analysis

1.INTRODUCTION
This project utilizes generative AI to analyze Play
Store reviews across various applications, providing
developers with actionable insights. By leveraging large
language models (LLMs), the system processes user
feedback to identify sentiment trends, highlight common
issues, and suggest improvements. This approach enables

developers to understand user reactions effectively and
prioritize updates, ultimately enhancing app quality, user
satisfaction, and ratings. The integration of AI
streamlines review analysis, ensuring data-driven
decisions for better app performance.
Revolutionizing Brain Analysis: AI-Powered Insights for Neuroscience
Authors: Sivanagaraju Dr. V. , Ram P. Tulasi , Reddy T. Trinath
Published: December 2024

The integration of artificial intelligence (AI)
into neuroscience has revolutionized brain analysis,
offering unprecedented insights into neural structures,
functions, and disorders. This study explores the
application of AI techniques such as machine learning
and deep learning in brain imaging, cognitive analysis,
and neurological diagnostics. By leveraging advanced
algorithms, we analyze complex datasets from
modalities like MRI, fMRI, and EEG, enabling the
identification of intricate patterns and anomalies in brain
activity. The findings demonstrate the potential of AI in
improving diagnostic accuracy, predicting
neurodegenerative conditions, and enhancing our
understanding of the human brain. Despite its
transformative capabilities, challenges such as data
privacy, interpretability, and ethical considerations
persist. This research underscores the critical role of AI
in shaping the future of neuroscience and paves the way
for its wider adoption in clinical and research settings.

Keywords - fMRI (Functional Magnetic Resonance),
Imaging, EEG (Electroencephalogram), Neurological
Diagnostics, Neurodegenerative Conditions, Pattern
Recognition.
Pengaruh Kepemimpinan Transformasional Dan Motivasi Kerja Terhadap Kinerja Karyawan
Authors: Nurhadian Adhie Fasha
Published: December 2024

This study aims to determine the effect of transformational leadership and motivation on employee performance either partially or simultaneously. The object of research is a company engaged in the field of financial services. Methods of survey research with inferential testing techniques using path analysis. Sampling technique uses census to all employees. The results showed that there is a significant influence of transformation leadership and motivation on employee performance either partially or simultaneously. Transformational leadership contributes 33.22%, while motivation contributes 28.95%, thus simultaneously the influence of transformational leadership and motivation on employee performance of 62.18%. These results indicate that the influence of these three variables is significant, while the rest is determined by other variables not examined in this study.
Application of autoregressive integrated moving average and vector autoregression prediction models for stock and price stabilization at perum bulog
Authors: Fachrurrazi Sayed , Ilhadi Veri , Syukriah Syukriah , Umaruddin Umaruddin , Ula Mutammimul , Zohra Siti Fatimah A
Published: December 2024

This study implements the ARIMA (Autoregressive Integrated Moving Average) method to predict rice stock levels at Perum Bulog in Lhokseumawe City. The objective of this research is to forecast rice stock levels for the upcoming year, 2024, and provide Perum Bulog Lhokseumawe with a more accurate reference for future stock planning. The benefit of this research lies in its potential to enable preventive measures to minimize rice stock shortages and support Perum Bulog in formulating policies to reduce the risk of future shortages. Error testing for rice prices with the ARIMA model shows MAPE values of ARIMA (1,0,0) = 21,256,076,432,276.10%, ARIMA (0,0,2) = 3.54%, and ARIMA (1,0,2) = 21,305,440,935,436.50%. Rice stock testing with MAPE error values yielded ARIMA (2,0,0) = 13.49%, ARIMA (0,0,1) = 13.65%, and ARIMA (2,0,1) = 10.27%. The error measurement results for prediction using MAPE are 1.5% for rice prices and 58.9% for rice stock. Based on these error measurements, the VAR model appears sufficiently accurate for predicting rice prices, as the MAPE value is at a low level.
Pemberdayaan Perempuan Pesisir Ampenan Dalam Peningkatan Pejualan Produk Abon Ikan IRT Melati
Authors: M. Yusuf Siti Yulianah , Syaumudinsyah Syaumudinsyah , Nasruddin Nasruddin
Published: December 2024

IRT Melati merupakan sekumpulan Perempuan pesisir Ampenan yang memproduksi abon ikan sebagai upaya meningkatkan harga jual dari hasil tangkapan ikan para suami. Namun, sejak berdiri usaha ini tidak mengalami perkembangan yang signifikan karena terkendala tiga aspek utama, yaitu aspek produksi, aspek manajemen usaha dan aspek pemasarannya. Upaya pembenahan ketiga aspek tersebut dilakukan melalui sosialisasi untuk mengedukasi, pelatihan dan pendampingan untuk memperbaiki kemampuan Perempuan pesisir untuk mengelola dengan baik ketiga aspek tersebut, sehingga dapat meningkatkan penjualan produk abon. Usaha abon ikan memiliki potensi untuk menjadi usaha yang berkelanjutan, karena abon ikan memiliki daya simpan yang lama dan mudah didistribusikan. Dengan adanya peningkatan jumlah penjualan akan meningkatkan pula taraf hidup seluruh anggota IRT Melati. Kedepannya usaha ini bisa lebih berkembang, bersaing dipasarnya dengan ciri khas yang dimiliki serta dapat menambah jumlah tenaga kerja yang dapat memberikan dampak positif bagi perekonomian keluarga perempuan pesisir Ampenan.