bluuebunny/crossref_metadata_2025 huggingface dataset:
Lack of professionalism and employee turnover intention: An empirical study among managers
Authors: Rajan Durairaj
Published: October 2024

This empirical, quantitative, and survey-based descriptive research undertaken in Tirunelveli city of Tamil Nadu, India has the objective of identifying how lack of professionalism is associated with employee turnover intention of managers working at multi-speciality hospitals in Tirunelveli city. To achieve this objective, the study sampled 50 managers belonging to para-medical departments from leading private multi-speciality hospitals using both convenience and judgement sampling techniques. The primary data were collected using a structured self-made questionnaire along with personal interviews and observation. The secondary data were collected from books, journals, dissertations and conference proceedings to add appropriate significance to the study. Percentage, Mean, and Standard Deviation were used to analyze the data, and the result of the analysis revealed that lack of professionalism-related factors: lack of respect, domination of the medical personnel, involvement of non-paramedical professionals to control para-medical managers, underemployment, performing non-managerial activities, politics among staffs, and under-estimation and inferior opinion about managers have been strongly agreed by the majority of the respondents in the study area that they are associated with their employee turnover intention. The study has offered suitable suggestions to strengthen professionalism-related factors at private hospitals and thereby prevent employee turnover intention among para-medical managers.
Optimization of Wind Turbine Efficiency during Severe Weather
Authors: Annor Nana Kofi , Michael Ramirez  , Kucukbasol Cafer
Published: October 2024

Due to the importance of energy in society as well as the negative environmental impact of many commonly used energy sources, namely fossil fuels, it is essential to develop and improve sources of renewable energy. Wind energy is a prominent, widely accessible, and environmentally friendly form of renewable energy created when wind turbines convert the kinetic energy of wind to electricity. Severe weather is one area of concern for wind turbines. This article primarily examines the effects of high wind speeds and lightning on wind turbines. To aid in improving and fostering renewable energy, this article aims to study the effects of lightning and high wind speeds on wind turbines, evaluate current solutions, and suggest improvements where possible. After examining several sources, the advantages and disadvantages of current methods were discussed along with proposed improvements. Due to the restrictions of our research being purely virtual, lacking resources, and time constraints, we are unable to conduct tests and physical research of wind turbines and these meteorological events for more thorough first-hand exploration. Following our research, the next step would be to utilize the evaluations and proposed improvements to current wind turbine designs and analyze the effects.
The microbiota behind the mental health epidemic
Authors: Moss Alex
Published: October 2024

Our microbiota plays a significant role in overall human health through communication with our brain, known as the MGB axis. The microbiota-gut-brain, or MGB axis, allows the microbiota and nervous system to communicate bidirectionally through the vagus nerve. This crucial transmission of vital information is upheld by the vagus nerve to sufficiently relay information regarding the regulation of the cholinergic anti-inflammatory pathway as well as upholding communication between the nucleus tractus solitarius and the gastrointestinal tract, both of which have been found connecting to correlations within mental illnesses such as depression, PTSD, schizophrenia, autism, and a plethora of other conditions. In cases of autism, researchers have found an increase in bacteria such as prevotellaceae and parabaderoids, while there was a decrease in Bifidobacterium and Collinsella compared to the control group. The interactions within the MBG axis responsible for psychiatric health are immense and still being explored. An example of such interconnectivity would be the production of neurotransmitters such as 90% of the serotonin in our body, crucial for regulating mood. This is accomplished by bifidobacterium infantis converting tryptophan into serotonin. Taking this new information into consideration the ramifications of the modern diet could be taken into consideration to explain the epidemic of poor mental health within modern generations. Specifically modern research entails that there is a rise in dysbiosis occurring as diversity and quantities of gut bacteria decrease due to the poor levels of nutrient-filled foods. A new approach to mental health treatment would consider a patient's microbiota and diet to assess what steps can be achieved to formulate a proper microbiota that produces adequate amounts of needed neurotransmitters such as serotonin, GABA, and dopamine that help combat many arising disorders.
Advancements of the 21st century and Their Implications on Medical Research and Diagnosis
Authors: Anna Browning  , Leeann Bushmais  , Ameena Rahman  , Huri Bahar Kose
Published: October 2024

Throughout the 20th century, new research and new demands have led to an increased amount of technology used in medicine. These methods have led to early detection, better context of conditions, increased efficiency, and brighter prospects for the future of medical diagnosis. However, the increasing use of AI and genetics in medicine has called for checks and further clinical trials to determine how ethical these practices might be. The debate surrounding the integration of Artificial Intelligence has created further controversy—that is, what technologies should be used and what technologies should not be used. To determine a solution, certain factors should be considered including the comfort of patients during treatments including advanced technology, the risk factor of integrating AI into procedures, and the efficiency of technology compared to traditional medical practices. For example, imaging technologies such as X-ray and sonography are found to be more comfortable for patients due to their long-standing familiarity, yet their precision and accuracy fall short in comparison to advanced Imaging technologies such as CT, MRI, and PET scans. There has also been discussion of the use of genetic testing such as chromosomal microarrays. Advances in genetic testing have led to the ability to detect conditions in embryos which can be beneficial, but the manipulation of the embryos could raise ethical concerns. Past ethical grey areas, there have been amazing prospects for the future of medicine and these innovations, such as the use of non-invasive testing which is an emerging alternative to traditional surgical methods. Through extensive literary research, this paper considers the multiple aspects that should contribute to deciding to implement technological advancements brought in the 21st Century. By investigating previous integrations of innovations within medicine, this research could envision a risk-free and more ethical approach to advancing medicine with technology.
Acculturation Strategies and Their Impact on Psychological Health
Authors: Yahya Guvercin  , Samirah Chowdhury  , Burak Durmaz  , Mustafa Yazici
Published: October 2024

The dramatic rise in migration during this decade has sparked many questions regarding migrant’s choices and how these choices determined or altered their lives. This study explores the impact of various acculturation strategies—assimilation, separation, integration, and marginalization—on the mental well-being of migrants. Our research strategy involves employing a literature review to synthesize quantitative data from psychological assessments and qualitative insights from migrant interviews. Findings indicate that marginalization, characterized by a lack of engagement with both the host and origin cultures, correlates with the poorest mental health outcomes, including heightened levels of stress, anxiety, and depression. Conversely, integration, where migrants maintain their cultural heritage while also participating in the host culture, is associated with the most favorable psychological health, reflecting lower stress levels and higher life satisfaction. While some migrants report a sense of security and identity preservation, others experience isolation and limited social support, leading to mixed mental health outcomes. Ultimately, this research sheds light on how migrants’ approach to cultural ties can be pivotal in their lives by directly impacting their psychological health. We aim for this paper to be a didactic source of information for policy makers, migrants and even citizens to use in order to create societies that promote collectivity and cultural diversity.
Keywords: Acculturation, psychological health, mental health, migration
Quadruple Helix Approach to Boost Fashion Industry Innovation
Authors: Hermawan Iwan , Sartono Sartono , Hindrawati Gita , Suharmanto Suharmanto , Adah Nur Nelisa
Published: October 2024

Currently, the fashion industry continues to grow and increase, but there is a problem gap in the form of declining demand for orders and stagnant fashion products, which has an impact on 3,000 textile factory workers in Sukoharjo Regency who have been laid off. The problem gap needs to be resolved through the collaborative roles of the sectors in the quadruple helix consisting of the fashion industry, universities, government, and civil society. Therefore, the research question is how does the fashion industry build innovation through the support of sectors in the quadruple helix? The purpose of this study is to identify the role of the quadruple helix in encouraging the fashion industry to create innovations that have an impact on employment. The research method used was a qualitative study with the informants being the Industry Office as the government sector, two fashion MSMEs as industry sector representatives, one university in Indonesia as the university sector, and a sample from civil society. The results of this research indicate that the industry sector is the primary driver of innovation, universities provide foundational knowledge for other sectors, and the government plays a role in maintaining the smooth operation of the fashion industry through policies. Additionally, civil society is responsible for evaluating the work of industry, universities, and government policies. This research contributes to the body of knowledge on the quadruple helix innovation theory.
Rimski natpis o sporazumu Otroplina i Parentina o razgraničenju i prilazu vodi
Authors: Milotić Ivan
Published: October 2024

Prva faza ustaljivanja rimske vlasti u Dalmaciji nakon Bellum Batonianum posvjedočena je i terminacijskim natpisima. Među njima se posebnošću izdvaja natpis o Ortoplinima i Parentinima jer, za razliku od drugih, ne sadržava naznake spora i njegova arbitražnoga rješavanja, nego vlastiti dogovor dvaju plemena o granici i pravu prilaza izvoru vode. Ovo epigrafsko svjedočanstvo nalazi se in situ, u šumi Begovača na Velebitu, na lokalitetu iznad Kosinjskog Bakovca. Sadržaj toga natpisa, koji se uobičajeno naziva Pisanim kamenom, otkriva da je u biti riječ o pravnom aktu što se odnosi na situaciju koja je u meritumu zasigurno predrimske provenijencije, no načinom zapisivanja i institucijskim okvirom njezina epigrafska kvalifikacija pripada rimskome klasičnom pravu. Premda natpis ima određene filološke nejasnoće, njegovu razumijevanju pridonosi pravna odrednica koja se u ovome članku iscrpno i cjelovito prvi put analizira. Pisani kamen bilježi utvrđenje granice (finis) i osnivanje zemljišne poljske služnosti aquae haustus da bi Ortoplini mogli svakodobno na teritoriju Parentina prilaziti izvoru vode i crpsti je. U rimsko doba u izoliranom, komunikacijski odsječenom i bezvodnom te uopće surovom kraju, taj je natpis primjer dosljednosti, univerzalnosti i promišljenosti primjene rimskoga prava, ali i njegove prodornosti gdje god je bilo potrebno održivo, trajno i pravno sigurno, primjenom privatnopravnih koncepata i instituta, urediti pravne odnose glede dobara od egzistencijalnoga značenja za stanovništvo.
Pravnopovijesni razvoj zaštite od nepoštenog postupanja trgovaca do 20. stoljeća
Authors: Rodin Mirella
Published: October 2024

Pravo protiv nepoštenog tržišnog natjecanja kao zasebno pravno područje prepoznato je krajem 19. stoljeća. Zbog prihvaćene ekonomske teorije laissez-faire, tada se javila potreba sprečavanja zloupotrebe neograničene slobode poduzetnika. Pojava tog prava vezuje se, stoga, za pravne sustave država koje se temelje na liberalnom, odnosno neoliberalnom ekonomskom uređenju. Autorica ovog rada smatra da je sloboda trgovaca oduvijek bila ograničena pravilima poslovnog morala, neovisno o nastanku koncepata tržišta i tržišnog natjecanja. U radu se analiziraju pravnopovijesni instituti koji su imali svrhu ograničavati slobodu trgovaca, s ciljem pronalaska preteča suvremenog pravnog uređenja. Pravnopovijesni razvoj zaštite od poslovne nemoralnosti trgovaca razmatra se kroz tri pravna razdoblja, i to: rimsko pravo, srednjovjekovno pravo te pravo novog vijeka. U rimskom pravu istražuju se dokazi o postojanju privatnopravne zaštite od nemoralnog postupanja trgovaca. Posebno se analiziraju načelo bona fides koje i danas ima najistaknutiju ulogu u pravu protiv nepoštenog tržišnog natjecanja, te instituti dolus i metus. Nadalje, istražuju se koncepti poslovne nemoralnosti trgovaca i značenja načela bona fides u srednjovjekovnom razdoblju. Proučava se i značaj cehova za razvoj ovih pravila te drugi oblici zaštite od nepoštenog tržišnog natjecanja. Potom, razmatra se nastanak prava protiv nepoštenog tržišnog natjecanja u Francuskoj u 19. stoljeću te uvođenje pravila o nepoštenom tržišnom natjecanju, koja su i danas na snazi, u Parišku konvenciju. Konačno, zaključuje se da postoji kontinuitet u zaštiti od poslovne nemoralnosti trgovaca neovisno o društveno-ekonomskim uređenjima te da se proučavani pravnopovijesni instituti obveznog prava mogu smatrati temeljima suvremenog prava protiv nepoštenog tržišnog natjecanja.
Javna arhivska služba i pravni okvir zaštite arhivskoga gradiva na području Republike Hrvatske u razdoblju od 1945. do 2023.
Authors: Trogrlić Ivan
Published: October 2024

Cilj je rada prikazati razvoj arhivske službe na području Republike Hrvatske u razdoblju od 1945. do 2023. godine kroz pravno-normativni okvir koji je ujedno bio ogledalo političkog, pravnog i gospodarskog sustava koji je nastajao i održavao se u pojedinim razdobljima. Nacionalna arhivska služba postala je tijekom 20. stoljeća standardni dio javne uprave u gotovo svim državama svijeta. Ona je kod nas tijekom šezdesetih i sedamdesetih godina prošlog stoljeća stjecala sve veći institucionalni značaj te je postala obveznom djelatnošću na čitavom teritoriju tadašnje SR Hrvatske. Rad prati arhivsko zakonodavstvo, odnosno pravni okvir zaštite arhivskog i dokumentarnog gradiva, te shodno tome odnos države prema arhivskim ustanovama i arhivskom gradivu u smislu zaštite gradiva kod stvaratelja, njegova vrednovanja, vremenskih okvira i načine predaje gradiva te u konačnici njegova korištenja kod stvaratelja i u arhivima.
Dissociating Semantic Integration and Inhibitory Control in the Remote Associates Test : A tDCS-EEG Study
Authors: Lezama Raquel , Gómez-Ariza Carlos J. , Molina M. Teresa Bajo
Published: October 2024

Neuromodulation was utilized here to investigate the distinct involvement of two recognized cortical hubs for semantic integration (the left anterior temporal lobe, lATL) and inhibitory control (the right dorsolateral prefrontal cortex, rDLPFC) in creative problem-solving. Participants were presented with a list of category-exemplar words, selectively recalled some of them, and then solved a set of RAT problems. Selective retrieval was introduced to trigger inhibitory control over competitors. Critically, some RAT problems could be solved with words from the previous phases of the experiment, including words that might be less accessible due to inhibition. Other problems, however, could only be solved with unpresented words. Experiment 1 showed that anodal tDCS over the lATL had a negative effect on the production of correct responses to baseline RAT problems, but not on those that required inhibited solutions. Experiment 2 produced the reverse pattern with cathodal tDCS over the rDLPFC. Resting-state EEG recordings were obtained before and after delivering tDCS, which also revealed specific tDCS-induced changes in frequency bands depending on the site of stimulation. Overall, these findings provide support for the involvement of semantic and control processes in creative problem solving that are linked to different brain networks.
Comprehending semantic and syntactic anomalies in LLM- versus human-generated texts: An ERP study
Authors: Rao Xiaohui , Wu Hanlin , Cai Zhenguang Garry
Published: October 2024

As large language models (LLMs) become increasingly proficient at engaging in human-like conversations, it is essential to understand how people process language generated by LLMs compared to language produced by humans. During language comprehension, people interpret incoming linguistic input by integrating it with their world knowledge (e.g., semantic anomalies can elicit an N400 effect in brain potentials) and linguistic knowledge (e.g., syntactic anomalies can lead to a P600 effect). Crucially, people adjust their language comprehension based on the perceived demographic attributes of the speaker, which has been shown to modulate both semantics-sensitive N400 and syntax-sensitive P600 effects. In two ERP experiments, we investigated whether people are sensitive to the fact that LLMs excel in linguistic formulation (i.e., consistently producing grammatically correct texts) but are prone to hallucination (i.e., occasionally generating nonsensical content). Participants were informed that they would be reading texts previously generated by either an LLM or a human. Experiment 1 revealed an N400 effect for semantically anomalous sentences compared to semantically coherent ones. Importantly, the N400 effect was smaller for LLM-generated texts than for human-generated texts. Furthermore, participants who more strongly believed that LLMs possess human-like knowledge exhibited a larger N400 effect. Experiment 2 demonstrated a P600 effect for syntactic anomalies in LLM-generated texts, with the effect being larger for LLM-generated texts than for human-generated texts (and not statistically significant in the latter). These findings suggest that people’s expectations about LLMs’ potential for hallucination and near-perfect grammatical competence modulate the way they comprehend LLM-generated texts. This research highlights the importance of considering perceived language model attributes when studying human language comprehension in the context of AI-generated texts.
Misleading But Not Fake: Measuring the Difference Between Manipulativeness Discernment and Veracity Discernment Using Psychometrically Validated Tests
Authors: Maertens Rakoen , Said Nadia , Buder Jürgen , Roozenbeek Jon
Published: October 2024

Misinformation continues to pose a substantial societal problem, but the measurement of misinformation susceptibility has often been done using non-validated tests. Furthermore, research shows that misleading content (implied misinformation) is much more common than outright false content (explicit misinformation). However, there is very little research on the predictors of belief in implied misinformation, and it is unknown if susceptibility to direct and implied misinformation are psychologically similar. To address these questions, we ran three preregistered studies (N 1 = 487, N 2 = 547, N 3 = 490) in which we developed and validated the 24-item and 12-item Manipulative Online Content Recognition Inventory (MOCRI), a test that measures a person’s ability to distinguish between misleading and neutral content. This test substantially outperforms other known predictors of misinformation susceptibility in terms of its predictive value for people’s ability to correctly identify many kinds of misleading content. We also show that susceptibility to misleading and false content are psychologically different from one another, although they are related. Finally, we show that people who score high on the MOCRI are much better than low MOCRI performers at discerning manipulative from non-manipulative statements (i.e., they have better “discernment”), but that this ability does not necessarily translate to better discernment in the quality of their sharing decisions, or their willingness to reply to manipulative vs. non-manipulative messages. Instead, people who are more resilient to being manipulated are lesslikely to share and respond to both manipulative and non-manipulative content.
Agree to Disagree? Human and LLM coder bias for constructs of marginalization
Authors: Kathirgamalingam Ahrabhi , Lind Fabienne , Bernhard Jana , Boomgaarden Hajo G.
Published: October 2024

Human and LLM-based annotation of constructs of marginalization such as discrimination or hate speech comes with challenges. One such challenge is coder bias, the systematic variation in annotations driven by individual characterstics. To systematically understand the presence and sources of such biases, we conducted two studies and compared both. In Study 1, we surveyed crowdworkers on marginalization-related characteristics and analyzed their annotations of racism. In Study 2, we assigned personas to LLMs and studied variations in the annotations. Moreover, we compared human and LLM coder bias from a text-level perspective to account for textual properties driving variation. Our findings suggest that being affected by or aware of marginalization causes systematic variation in human annotations, while persona assignment significantly impacts LLM outputs. Against this backdrop, we advocate for ‘inclusive annotation’ which introduces variance by intentionally integrating coders with lived experience or awareness of the constructs, thereby enriching measurement quality.
PREDICTING FOOTBALL MATCH OUTCOMES USING LARGE LANGUAGE MODELS: A COMPARATIVE STUDY WITH TRADITIONAL MACHINE LEARNING METHODS
Authors: Li Jinchi , Zhao Eric , Li Zhixiang
Published: October 2024

Accurately predicting football match outcomes is valuable for stakeholders such as fans, analysts, sports betting companies, and team strategists. In this study, we explore the potential of large language models (LLMs) for predicting football match results by transforming numerical features into contextual inputs. Key features include historical match results, player ratings, coach ratings, and other relevant conditions, which are processed by the LLM to predict the match winner. We compare the performance of LLM-based predictions with traditional machine learning (ML) models, including random forest and XGBoost. Our findings demonstrate that LLMs achieve comparable accuracy to these conventional ML techniques. Additionally, the LLM offers a significant advantage in that it requires no model training, simplifying implementation and reducing computational costs. This makes LLMs a promising, resource-efficient alternative for football match prediction, presenting new opportunities for AI-driven sports analytics.
Presence of supportive social networks, demanding working time schedules and work-life balance
Authors: Pavelea Alina Maria , Matysiak Anna , Kurowska Anna
Published: October 2024

Globalisation and technological advancements have transformed European labour markets, making work schedules more demanding and difficult to manage. Increased expectations for availability beyond standard working hours, along with the need for constant skill updates, have exacerbated work-family conflict, particularly for dual-earner couples with caregiving responsibilities. While formal childcare support has been widely studied, the role of informal childcare in mitigating the effects of work-time demands on work-to-family conflict (WFC) remains underexplored. This study addresses this gap by examining the moderating role of informal childcare support using three waves of the Panel Analysis of Intimate Relationships and Family Dynamics (PAIRFAM). Results indicate that work-time demands significantly increase WFC for both mothers and fathers, with informal support from grandmothers being especially beneficial for mothers, while fathers benefit more from assistance provided by other family members and friends. These findings highlight the importance of social networks in managing work-family conflict.
Mitigasi Kebangkrutan (Pendekatan Berbagai Strategi untuk Penguatan Bisnis UMKM)
Authors: Halpiah  , Putra Hery Astika
Published: October 2024

Buku berjudul: “Mitigasi Kebangkrutan (Pendekatan Berbagai Strategi untuk Penguatan Bisnis UMKM)” merupakan buku referensi hasil kajian dari penelitian dan pengabdian kepada masyarakat yang telah terbit pada jurnal terakreditasi Sinta.Buku ini ditulis bertujuan untuk memudahkan para pembaca khususnya para pelaku UMKM yang tengah menjalankan usahanya untuk mengetahui berbagai strategi bisnis dan ketersediaan opsi alternatif dalam upaya mengembangkan aset usahanya agar dapat meminimalisasi kebangkrutan.Adapun isi buku ini memuat tujuh bab pembahasan yang saling terkait, di antaranya:1. Usaha Mikro, Kecil, dan Menengah (UMKM).2. Kebangkrutan.3. Mitigasi Kebangkrutan pada UMKM.4. Pilihan Strategi Bisnis UMKM.5. Akuntansi Sebagai Strategi Bisnis UMKM.6. Investasi Sebagai Alternatif Pengembangan Aset Usaha.7. Penguatan Mental Accounting UMKM.
Crimscapes. Kulturanthropologische Perspektiven auf Politiken der Kriminalisierung
Authors: Faust Friederike , Grimm Carmen , Binder Beate , Geeraert Jérémy , Sekuler Todd
Published: October 2024

At the end of the last century, criminalisation has become a globally accepted mode of governing social problems. Using two policy fields, sea rescue in the Mediterranean and combating hate speech on the internet, we propose a cultural anthropological perspective on the punitive turn and the politics of criminalisation. Using the concept of crimscapes, we describe the dynamic landscapes that unfold around criminal justice interventions, in which new figures of threat and vulnerability emerge, moral orders are restructured and new constellations of actors and practices are brought to the fore. By relating different policy fields, understood as local articulations of global dynamics of criminalisation, the concept also points to the ambivalences of this policy, which can also have an enabling and protective effect alongside exclusionary, stratifying and punitive effects. This underlines the need for critical cultural anthropological research that highlights the ambivalences and contradictions of criminalisation and contributes to an informed critique that is not based solely on normative evaluations, but can also draw attention to unintended effects and contradictions in political debates.
100 Jahre im Dazwischen. Ein- und Ausblicke in die Arbeit kulturwissenschaftlich-volkskundlicher Landesstellen
Authors: Zinn-Thomas Sabine
Published: October 2024

Regional centres for cultural and folklore studies in Germany are regionally and nationally networked institutions and are organised in different ways. They research, document, advise and communicate topics of everyday culture. They act in the in-between, as an interface between academia and the public. Their work primarily involves the transfer of knowledge into cultural practice and the exchange of knowledge with universities, specialised societies, museums and civil society institutions. To mark the centenary of the Regional Centre for Everyday Culture in Stuttgart, this article looks back at its past and considers the challenges and opportunities of the future. These include new needs and requirements for counselling in the context of intangible cultural heritage, but also with regard to new mediation formats, online presence and the digital availability of collections and archives. As a further challenge in times of scarce resources and public funding, the work and self-image of the regional centres must also be increasingly aligned with the expectations of the funding bodies and the public.
THE INFLUENCE OF SOCIAL MEDIA MARKETING AND ELECTRONIC WORDS OF MOUTH ON INTEREST IN BUYING SNEAKMARKET PRODUCTS WITH BRAND IMAGE AS INTERVENING VARIABLE
Authors: Irzaki M. Alfin , Taufiqurrahman Taufiqurrahman , Musfar Tengku Firli
Published: October 2024

This research, which aims to determine and analyze the influence of social media marketing and electronic word of mouth on interest in buying Sneakmarket products, with brand image as an intervening variable, was conducted using a rigorous methodology. The research method used is descriptive, involving 120 followers on the Sneakmarket Instagram account in Pekanbaru City. The sampling method was non-probabilistic, ensuring a diverse range of respondents. Respondent data was processed using the SmartPLS version 4 analysis technique, a widely accepted method in the field. The research showed that social media marketing, electronic word of mouth, and brand image positively affected interest in purchasing Sneakmarket products directly and indirectly, providing valuable insights.
Dinamika Legalisasi Tanah Desa di Kabupaten Sleman, Yogyakarta: Pengaturan, Pelaksanaan, dan Implikasinya
Authors: Prasetya Dimas Bayu Candra , Mujiburohman Dian Aries , Supama Yohanes
Published: October 2024

Legal uncertainty in the legalization of village land in DIY arises from differences between national and regional regulations. This study examines the legalization of village land in Sleman, Yogyakarta, from the aspects of regulation, implementation, and its implications. The research method employed is a normative-empirical legal analysis focusing on regulations related to village land and their ontological basis. The findings show that the regulation of village land in the Special Region of Yogyakarta (DIY) has undergone changes since the pre-independence era, during which land was under the authority of the Kasultanan and Pakualaman with limited usage rights. After independence, DIY gained special rights in agrarian management, reinforced by the DIY Privileges Law (UUK). However, the implementation of the Basic Agrarian Law (UUPA) in DIY was delayed until 1984. Significant changes in village land regulations, from the 2008 to 2024 Governor’s Regulations, reveal inconsistencies with national land laws and the Village Law. This creates challenges in legal synchronization, where the UUK, as lex specialis, may lead to legal uncertainty in the legalization and certification of village land. These findings provide valuable input for policy development to strengthen the legal framework for village land and improve community welfare through better land management.
Ketidakpastian hukum dalam legalisasi tanah desa di DIY timbul dari perbedaan pengaturan nasional dan daerah. Penelitian ini mengkaji legalisasi tanah desa di Sleman, Yogyakarta, dari aspek pengaturan, pelaksanaan, dan implikasinya. Metode yang digunakan adalah yuridis normatif-empiris dengan analisis terhadap peraturan terkait tanah desa dan dasar ontologis penetapannya. Hasil penelitian menunjukkan bahwa pengaturan tanah desa di Daerah Istimewa Yogyakarta (DIY) telah mengalami perubahan sejak masa pra-kemerdekaan, di mana tanah berada di bawah otoritas Kasultanan dan Pakualaman dengan hak pakai terbatas. Setelah kemerdekaan, DIY memperoleh hak istimewa dalam pengaturan agraria, diperkuat oleh Undang-Undang Keistimewaan DIY (UUK DIY). Namun, implementasi Undang-Undang Pokok Agraria (UUPA) di DIY baru terlaksana pada 1984. Peraturan tanah desa mengalami perubahan signifikan dari Peraturan Gubernur DIY tahun 2008 hingga 2024, mencerminkan ketidaksesuaian dengan hukum nasional dan Undang-Undang Desa. Hal ini menimbulkan tantangan dalam sinkronisasi hukum, di mana UUK DIY sebagai lex specialis berpotensi menimbulkan ketidakpastian hukum dalam legalisasi dan sertifikasi tanah desa. Temuan ini memberikan masukan bagi kebijakan untuk memperkuat kerangka hukum tanah desa dan meningkatkan kesejahteraan masyarakat melalui pengelolaan tanah yang lebih baik.
Implementasi K-Nearest Neighbor Pada Klasifikasi Prospek Waralaba
Authors: Suryani Nining , Priyanti Evy , Sihombing Girman
Published: October 2024

Franchising is currently a promising business process where many types of franchises are currently mushrooming and growing rapidly. An algorithm is needed that can classify the type of franchise according to existing attributes. The K-Nearest Neighbor algorithm can produce robust or clean data and effects even for large data sets. The K-Nearest Neighbor algorithm is an algorithm that is able to classify franchise types with an accuracy value of 92.23%. With this high accuracy, it can be ensured that the classification can be clearly seen, where according to the research it was found that the very prospective and prospective classes are in Bakmi Gila and Alfamart. That way, you will get maximum profits by choosing the right franchise
Deteksi dan Prediksi Cerdas Penyakit Paru-Paru dengan Algoritma Random Fores
Authors: Kurniawan Deny , Wahyudi Mochamad , Pujiastuti Lise , Sumanto Sumanto
Published: October 2024

Penyakit paru-paru, seperti COPD, kanker paru-paru, dan asma, adalah masalah kesehatan global yang menyebabkan lebih dari tujuh juta kematian setiap tahun. Teknologi canggih, termasuk model deep learning dan algoritma Random Forest, telah digunakan secara efektif untuk mendeteksi dan mengklasifikasikan penyakit paru-paru dari data pencitraan dengan akurasi tinggi. Penelitian ini bertujuan menunjukkan efektivitas algoritma Random Forest dalam memprediksi penyakit paru-paru. Dataset yang digunakan terdiri dari 30.000 data dengan 11 atribut, diperoleh dari Kaggle dan diproses menggunakan perangkat lunak Orange versi 3.36.2. Algoritma Random Forest diimplementasikan dengan 10 pohon keputusan dan enam atribut yang dipertimbangkan pada setiap pembagian data. Model ini diuji menggunakan validasi silang dengan 10 lipatan, dan hasil pengujian menunjukkan nilai AUC sebesar 0,993, yang mengindikasikan tingkat akurasi yang sangat tinggi. Matriks kebingungan digunakan untuk mengevaluasi kinerja model, dengan mengukur akurasi, presisi, recall, F1-Score, dan AUC. Model ini menunjukkan akurasi yang tinggi, dengan nilai ROC AUC 0,453 untuk prediksi adanya penyakit paru-paru dan 0,547 untuk prediksi ketiadaan penyakit paru-paru. Hasil ini menunjukkan bahwa algoritma Random Forest dapat menjadi alat yang efektif dalam mengidentifikasi penyakit paru-paru. Penelitian ini berkontribusi pada pengembangan teknik diagnostik yang lebih akurat dan efisien, yang dapat membantu tenaga medis dalam mendiagnosis penyakit paru-paru pada pasien. Dengan pemahaman yang lebih baik tentang penerapan algoritma ini dalam dunia kesehatan, diharapkan dapat meningkatkan kualitas diagnosis dan perawatan pasien secara signifikan.
Empirical Study of Data-Driven Learning and Generative AI in Enhancing Meta-Cognitive Resource Utilization: A Comprehensive Analysis
Authors: Verma Rajiv , Dadhich Manish , Mathur Disha , Sharma Arvind
Published: October 2024

This study investigates integrating data-driven learning and Generative AI within the Meta-Cognitive Resource Utilization Framework (MCRUF) and its potential to enhance educational outcomes. It highlights how AI-driven tools can personalize learning experiences, foster meta-cognitive skill development, and offer real-time feedback to improve learner autonomy and engagement. However, the study identifies key challenges, such as over-reliance on technology, digital literacy gaps, data privacy concerns, and unequal access to AI resources. The findings suggest important implications for educators and policymakers, emphasizing the need for ethical guidelines, equitable access, and a balanced approach combining AI assistance with active learner participation. Future research should focus on long-term impacts and strategies to ensure responsible implementation of these technologies.
Geological fate of O.M. Kuvaev in the time context
Authors:   Vernadsky State Geological Museum RAS, Cherkasov S.V.
Published: October 2024

The article contains information on Oleg Kuvaev’s activities as a geophysicist in 1958-1965. Based on work with the «Rosgeolfond» catalog, the intensity of geophysical research in the period 1950-2023 is analyzed. Also, author provides an opinion on major challenges and prospective of using the geophysical methods in geology.
Gold power in O.M. Kuvaev tale “ Lev Bebenin sad journeys”
Authors:   National Research Lobachevsky State University of Nizhni Novgorod, Korovashko A.V.
Published: October 2024

The article is an analysis and characterization of the ideological and artistic features novel "The Sad Wanderings of Lev Bebenin" by Oleg Kuvaev. Special attention is paid to the unique combination of a pronounced mythological origin, elements of a picaresque novel and documentary authenticity in it. The article also compares the story with its early edition, entitled "Requiem in the Morning".
Revision Reverse Total Shoulder Arthroplasty Using an Augmented Glenoid Baseplate: A Review of Current Glenoid Baseplate Options and a Case Report
Authors: Giro Margaret E , Choi Joseph Y
Published: October 2024

Introduction:

Total and hemi-shoulder arthroplasty have proved to be a safe and effective option for patients with symptomatic osteoarthritis. In some cases, glenoid implant failures or erosion can lead to acquired glenoid bone loss, complicating potential revision surgery. This paper presents a review of glenoid implant options for total shoulder arthroplasty and a case study which discusses a new augmented reverse baseplate for the revision of a failed hemi-shoulder arthroplasty. The patient was fully informed and gave written consent to submit the details of this case for publication in a peer-reviewed journal.

Case Description:

An 80-year-old retired professor with a prior history of right shoulder hemiarthroplasty presented with worsening right shoulder pain. She failed conservative care and wanted a conversion to a reverse total shoulder arthroplasty. The erosion on the patient's glenoid was severe enough for the surgeon to elect for the use of a metal augmented baseplate to fill the acquired defect and correct version and inclination. After an uneventful postoperative and recovery progression, at her one-year follow-up visit, she was pain-free and active, with significant improvements in her visual analogue scale (VAS) score, American Shoulder and Elbow Surgeons (ASES) score, and active range of motion (ROM).

Discussion:

The advent of metal augmentation with advanced glenoid preparation instruments allows shoulder specialists the ability to address implant-associated acquired glenoid bone loss and soft tissue deficiencies with ease and confidence and reduce additional clinical challenges.
سلطة التأريخ وتأريخ السلطة لحركات التمرد العنيف: ملاحظات نقدية من انتفاضات 1968 و1977 و1986 في مصر
Authors: مكاوي نجلاء
Published: October 2024

تســعى هــذه الدراســة إللقاء الضوء علــى ما ينتجه التأريــخ الفوقي لحــركات التمرد العنيف من معرفة تاريخية، ال تشوبها العيوب المنهجية والموضوعية فحسب، بل تسفر عن مقاربة فوقية ترســخ تصورا ٍٍت وأحكاًًما نخبويًًة، وتطغى عليها االنحيازات السياســية واأليديولوجية، وتهمــش حركــة فئــات مهمــة من الشــعب وتجردها مــن فاعليتهــا أي ًًض ّ ــا. وتحاّج الدراســة بأن اســتناد الكتابات التاريخية إلى تأريخ الســلطة يمنحها شــكًًال من أشكال سلطة التأريخ؛ ومن ثــم، تدعو الدراســة إلى مراجعــة هذه المقاربة الفوقية من خالل تحــري الموضوعية والقراءة المعمقة "من أســفل" وطرح ســرديات مختلفــة. تركز المقالة على ثالثة أمثلــة بارزة من تاريخ مصــر المعاصــر، هي: انتفاضة عــام 1968 في مواجهة ســلطة جمال عبد الناصــر؛ وانتفاضة عــام 1977 ضــد ســلطة محمــد أنــور الســادات؛ وتمــرد جنــود األمــن المركــزي ضــد نظــام محمــد حســني مبارك فــي عــام ،1986 وتفحص ما كتب عن حــركات التمرد الــثالث هذه من منظــور نقــدي، بمــا في ذلــك العودة إلى أســئلة تهــم من يتصــدون لكتابة تاريــخ مصر ومن يتلقونه، بل إنها تشكل أهمية الستخدام التاريخ في فهم الواقع.
FISCAL POLICY OF POST-WAR ECONOMIC RECOVERY AND ITS IMPACT ON THE DEVELOPMENT OF THE TERRITORIAL ECONOMY
Authors: Bondaruk Taisiia
Published: October 2024

Russia's full-scale invasion of Ukraine entailed devastating consequences for the economy of local communities. However, thanks to the fiscal policy measures taken in connection with the introduction of martial law in Ukraine, local budgets not only did not lose tax revenues, but also increased them. 
It is proved that local governments cannot directly influence the formation of discretionary fiscal policy, since only public authorities can carry out discretionary fiscal policy by targeting changes in the amount of taxes and public expenditures through amendments to legislation. For post-war economic recovery, it will be effective to implement a stimulating fiscal policy, that is, a policy aimed at increasing government spending and cutting taxes to expand aggregate demand in the economy.
It is substantiated that local governments during the post-war economic recovery, using fiscal policy, have the opportunity to indirectly influence the growth of total revenues of local budgets, thus influencing the development of the economy of the territories. 
Sources of additional funds to finance the needs of local communities during the post-war economic recovery can be achieved by: creating new jobs, which will lead to an increase in local budget revenues; increasing the investment attractiveness of the territories, which will also increase tax revenues; effective control over the use of budget expenditures and the use of natural resources.
The effective use of these tools can significantly improve the fiscal policy to fill the budgets of local communities during the post-war economic recovery.
Under the conditions of martial law and post-war economic recovery, fiscal policy requires diversification of the economy of local communities by optimizing the use of available and search for unused local resources, transferring emphasis to the use of the potential of local markets
DEVELOPMENT OF ELECTRONIC COMMERCE IN UKRAINE AND ITS IMPACT ON THE ECONOMY
Authors: Ihnatko Mariia , Ihnatko Yana
Published: October 2024

The development of electronic commerce positively impacts the national economy by transforming business processes and consumer experience. eCommerce provides convenient access to goods and services from anywhere in the world, reducing costs and time spent on purchases, and facilitates the expansion of market opportunities. The aim of this study is to analyze the various characteristics and dimensions of eCommerce development in Ukraine, both before and after the full-scale war, and to examine its profound impact on the economy and broader society. This investigation will consider the shifting trends, challenges, and opportunities within the digital marketplace, offering insights into how these changes influence economic performance and social dynamics.
The paper presents an analysis of eCommerce in Ukraine, including the legislative definition of «electronic commerce» and the positive aspects of digitalization on the economy. It examines the effects of global and local factors on the development of eCommerce in Ukraine and provides an overview of the dynamics of Ukrainian eCommerce from 2017 to 2023 in terms of major retailers. A forecast of significant growth in eCommerce revenues by 2029 in Ukraine is provided, based on the adoption of new technologies, including artificial intelligence and blockchain solutions, as well as improvements in digital literacy, expansion of eCommerce infrastructure, changes in consumer habits, and support for small and medium-sized businesses. Based on the analysis, recommendations for post-war recovery of the eCommerce sector are proposed. Conclusions are drawn regarding the positive impact of eCommerce on businesses, the state, and consumers. Further development of eCommerce in Ukraine requires adaptation to new conditions and technological innovations, increased digital literacy, and support for small and medium enterprises in their transition to online platforms
THE CONCEPT OF SUSTAINABLE DIGITALISATION AS A BASIS FOR A GREEN-DIGITAL TRANSITION TO A CLIMATE-NEUTRAL ECONOMY
Authors: Maksymova Iryna
Published: October 2024

The article presents a conceptual framework for understanding sustainable digitalisation as a primary driver of the green-digital transition towards climate neutrality of the global economy. This article analyses the interaction between digital technologies and decarbonisation goals, focusing on the opportunities and risks that arise in the process of digital transformation. The author presents a summary of the barriers to the green-digital transition on the global path to zero emissions, including the digital divide, uneven access to technology and innovation, carbon intensity of ICT, unclear regulation and imbalance of international policies. The author proposes a three-stage model of harmonisation of digital and green transitions, which contributes to the achievement of climate neutrality of the global economy. The model comprises the following components: international consensus and synchronisation; sustainable digitalisation in bridging the gaps; systematic and targeted innovation. The author underscores the necessity of incorporating sustainable tenets into the digitalisation process, considering both the technical and social, economic and environmental facets. The author identifies the following principles of sustainable digitalisation: the reduction of ICT energy consumption and related carbon emissions; the optimisation of the material and technical base for the functioning of digital infrastructure; the reduction of e-waste through the introduction of circular practices; the integration of sustainable digital technologies into business models; the combating of disinformation; the protection of human rights and the ensuring of environmental justice. Furthermore, the article identifies the key innovations needed to achieve climate neutrality in the short and long term
Typology and Effectiveness of Al-Quran Memorization Applications
Authors: Akbari M. Yudo Agresi , Kusaeri  , Bakar Yunus Abu , Rusydiyah Evi Fatimatur
Published: October 2024

This research aims to determine the typology of Al-Quran memorization application models and their effectiveness in learning Al-Quran tahfidz. The research method used in this research is Systematic Literature Review (SLR). SLR is a method used to comprehensively investigate relevant literature to understand the status of existing research on a particular topic. The data sources used come from Scopus and Semantic Scholar from 2019-2024 using the Publish and Perish (PoP) application. The results of this research found that there are 3 tahfidzul Quran application models: Voice Technology-Based Model, Gamification-Based Model and Modular-Based Model. Regarding effectiveness, it was found that the Voice Technology Based Model was still less effective. Meanwhile, the Gamification-Based Model has been proven to be effective in supporting learning. As for the Modular Based Model, there are those that have been proven to be effective in supporting memorizing learning of the Koran and there are also those that have not been proven because they are still in the needs exploration study stage. Further studies are needed regarding the challenges and obstacles as well as strategies for their use so that the development of the Tahfidz Al-Quran application model can be more effective in supporting the Al-Quran learning process.