bluuebunny/crossref_metadata_2025 huggingface dataset:
Canadian Clinical Guidelines on Social Isolation and Loneliness in Older Adults
Authors: Conn David K. , Billard Tanya , Dupuis-Blanchard Suzanne , Freedman Amy K. , Hoang Peter M. , Levasseur Mélanie , Newall Nancy E. , Sullivan Mary Pat , Wister Andrew V.
Published: December 2024

Background
Preventing and addressing social isolation and loneliness among older adults is important because of the known associations with negative health outcomes. The Canadian Coalition for Seniors’ Mental Health (CCSMH) took on the task of creating clinical guidelines.
Method
A multidisciplinary working group was established. The process was guided by an initial rapid scoping review of the literature focused on older adults. An adapted GRADE approach was utilized.
Results
CCSMH has produced first-ever clinical guidelines on social isolation and loneliness in older adults. Prevention, including recognition of risk factors and educational approaches focused on clinicians and students, is recommended. Targeted screening with validated tools is recommended. A comprehensive assessment is optimal to treat any underlying conditions and to identify contributing factors that may be responsive to psychosocial interventions. An individualized approach to interventions with shared decision-making is recommended. A variety of possible interventions include social prescribing, social activity, physical activity, psychological therapies, animal-assisted therapies and ownership, leisure skill development and activities, and the use of technology.
Conclusion
The problem of social isolation and loneliness is a “geriatric” giant that needs to be recognized and addressed. Because of its complexity, it will require the collective attention of many individuals and organizations working together at multiple levels of society, to raise awareness and find solutions. We recommend that healthcare and social service providers use these guidelines as a comprehensive tool to identify, assess, and implement strategies to reduce the negative impact of social isolation and loneliness.
Die Europawahl 2024: Mehr als ein Rechtsruck
Authors: Müller Manuel
Published: December 2024

In the 2024 European Parliament elections, far-right parties made gains in many member states and won a higher overall seat share than ever before. In addition, the much discussed “rise of the far right” also changed the debate among the other parties and led to the end of the consensus on the “cordon sanitaire” in the European Parliament. However, the shift to the right was not the only remarkable characteristic of the election. This article provides an overview of the main aspects that marked the election and affected the political constellations of the new electoral period.
Falschanzeigen bei Sexualdelikten – Eine Bestandsaufnahme
Authors: Pollich Daniela
Published: December 2024

Der vorliegende Beitrag unternimmt eine zusammenfassende Betrachtung verschiedener wissenschaftlicher und praktischer Perspektiven auf das Phänomen der Falschanzeigen im Kontext von Sexualdelikten. Ziel ist es, eine Diskussionsgrundlage zur Versachlichung der teilweise engagiert geführten Diskussionen, um diesen Phänomenbereich zu bereiten. Hierzu werden zunächst die Interessen der involvierten Personengruppen dar- und gegenübergestellt. Sodann werden charakteristische Merkmale von Sexualdelikten und das Spektrum der diesbezüglichen Falschanzeigen erörtert. Auf dieser Basis werden empirische Befunde zur Häufigkeit von Falschanzeigen dargestellt und eingeordnet. Abschließend wird angeregt, das Phänomen der Falschanzeigen von Sexualdelikten in Praxis und Wissenschaft differenziert(er), unter Einbeziehung der jeweiligen Beweggründe, zu bezeichnen, zu bearbeiten und zu beforschen.
In Between: A Ukrainian Voice in the Debate on the Russian War of Aggression Against Ukraine
Authors: Podvorna Olena
Published: December 2024

This essay presents a Ukrainian point of view on the ongoing public and scholarly discourse in Ukraine regarding Russia’s war of aggression against the country, while also responding to the German discourse. The essay presents the state of the Ukrainian discourse that is currently unfolding (predominantly from the point of view of Ukrainian researchers who are still based in Ukraine) and its main features. It also highlights how the Ukrainian research discourse on the war addresses the issue of security, security threats, the security order and its prospective reshaping in Europe as well as the international arena. The issues of arms deliveries, threat of nuclear war, prospective negotiations and how these are perceived in Ukraine are also investigated. The essay shows how topics such as future scenarios regarding the end of the war, relations with Russia and Ukraine’s future model of development are viewed within the Ukrainian scholarly and public discourse.
IB und Krieg: Theorie und Praxis
Authors: Rosert Elvira
Published: December 2024

Der Beitrag kommentiert den Vollartikel „Raus aus den Silos! Russlands Überfall auf die Ukraine und seine Konsequenzen für die Theorie der Internationalen Beziehungen“. Ich mache drei Argumente: Erstens sind Theoriedebatten in Krisenzeiten kein Selbstzweck, sondern sollten problemlösungsorientiert erfolgen; zweitens hatten wir als Disziplin, insbesondere in Deutschland, in Bezug auf den früheren Umgang mit Russland ein Vorhersageproblem und haben aktuell in Bezug auf den weiteren Umgang mit Russland ein „Problemlösungsproblem“; drittens sollten Theoretiker*innen aktiv den Austausch mit policy-orientiert arbeitenden Kolleg*innen suchen, um gemeinsam Problemlösungen zu entwickeln. Zum Schluss schlage ich vor, Russland als externen Krisenfaktor zu betrachten und sich für die Entwicklung von Handlungsstrategien von der Resilienzforschung inspirieren zu lassen.
„All these theories yet the bodies keep piling up“
Authors: Hofius Maren
Published: December 2024

In ihrem Hauptartikel plädieren Diez und Hasenclever für einen Heterolog zwischen multiplen Ansätzen der Theorien der Internationalen Beziehungen (IB), um den Russischen russischen Angriffskrieg auf die Ukraine umfassend zu erklären. Im hiesigen Forumsbeitrag argumentiere ich, dass das Plädoyer zu kurz greift, wenn der Heterolog bei der Ursachenforschung über das ‚Forschungsobjekt‘ kein reflexives Element einzieht, welches die Ursachenforschung beim ‚Forschungssubjekt‘ weiterführt – sprich kritisch hinterfragt, welchen Anteil wir IB-Forschenden selbst durch unsere ontologischen und epistemologischen Annahmen am Umgang mit der Ukraine haben. Um einen wahren Heterolog herzustellen, braucht es daher das Zusammenspiel dreier Formen von Theorie – Theorie als ‚tool‘, Kritik und Alltagspraxis. So können wir nicht nur einen wissenssoziologischen Blick auf unsere Disziplin werfen, der die Politik und Hierarchien unserer Wissensproduktion aufdeckt. Wir können diese Politik auch durch alternative Formen der Wissensproduktion aufbrechen, um all jene sprechen zu lassen, deren Wissen bisher nicht anerkannt wurde, aber die internationale Politik in Zeiten des Krieges zentral mitgestaltet.
Bürgerpartizipation durch Genossenschaften – Ein neuer Weg nachhaltiger Bürgerpartizipation
Authors: Kluth Winfried
Published: December 2024

Die eingetragene Genossenschaft eignet sich als Rechtsform für die Organisation von Einrichtungen der kommunalen Daseinsvorsorge, an denen Einwohner:innen beteiligt und damit zur Co-Produktion öffentlicher Güter eingeladen werden können. Der Beitrag klärt dazu den rechtlichen Rahmen und zeigt das breite Spektrum der Gestaltungsmöglichkeiten, die das Genossenschaftsrecht und das Kommunalrecht zulassen.
Prevalence of Mobile Colistin Resistance (mcr) Genes in Acinetobacter baumannii: Isolates of Clinical Infection from an Iranian University Hospital
Authors: Sadredinamin Mehrzad , Yousefi Nojookambari Neda , Pouladi Iman , Rezaei Faranak , Delfani Somayeh
Published: December 2024

Background: The emergence of colistin resistance is a global issue that threatens the effectiveness of colistin treatment against multidrug-resistant Gram-negative bacteria. Objectives: The present study reports on the prevalence of colistin resistance and mcr-encoding genes in Acinetobacter baumannii strains isolated from patients referred to Shahid Rahimi Hospital, Khorramabad, Iran, from January to August 2019. Methods: A total of 47 non-duplicate A. baumannii isolates were obtained from clinical specimens of patients. Colistin susceptibility of the isolates was assessed using the broth microdilution method, and the presence of mcr-encoding genes was determined through the use of PCR. Results: Out of the total 47 isolates belonging to A. baumannii, 14 isolates (29.8%) were resistant to colistin. The minimum inhibitory concentration (MIC) of colistin ranged from 2 to 256 μg/mL, and the MIC50 and MIC90 values for colistin were 0.25 μg/mL and 16 μg/mL, respectively. The presence of mcr-1 and mcr-2 was detected in 6 (12.7%) and 2 (4%) isolates, respectively. However, no isolates harbored the mcr-3 gene. Except for one isolate, none of the mcr-positive isolates exhibited phenotypic resistance to colistin. Conclusions: The higher phenotypic prevalence of colistin resistance compared to genotypic characterization, along with the discrepancy with the presence of mcr genes, suggests the need to monitor and consider all molecular mechanisms of colistin resistance as a last-resort treatment option.
Examining Face Recognition Technologies and Privacy: Ethical and Legal Choices
Authors: Arellano María Del Pilar Castro , Castro María Del Pilar Quezada , Mondragón Eliana Maritza Barturen , Valdivieso Martha Olga Marruffo , Gonzáles José Rolando Cárdenas , Castro Guillermo Alexander Quezada
Published: December 2024

Facial recognition technologies exist in society. When they were implemented, it was not considered that the use of this technology could lead to a breach of privacy of the individual. Not all countries have specific regulations and there is no standard to determine its international feasibility. This study presents the bibliometric and content analysis of scientific production in Scopus and Web of Science. A total of 169 documents published between 2000 and 2023 were identified. It was found that the most frequently used terms are privacy, facial recognition, surveillance, and security. It was concluded that there is legal and ethical debate because there is no clear protection of human rights for the misuse of this technology.
Deep Feature Extraction and Classification of Alzheimer's Disease: A Novel Fusion of Vision Transformer-DenseNet Approach with Visualization
Authors: Menon P. Archana , Gunasundari Dr.R.
Published: December 2024

Alzheimer's Disease (AD) classification from brain MRI images remains a strenuous mission due to the intricacy of the disease and limited dataset sizes. Eventhough Convolutional Neural Networks (CNNs) have excelled in the classification of brain diseases using MRI data, they are incompetent to apprehend global dependencies. Also, their results are not interpretable which is a major problem in medical domain. Transformer uses attention mechanisms to go with or even surpass CNNs on various vision tasks. This study proposes a novel fusion model integrating the complementary advantages of DenseNet-121 and Vision Transformer to address these challenges. By synergizing the strengths of both architectures, the proposed fusion model extracts comprehensive image features. To further optimize feature discrimination and computational efficiency, an ExtraTree classifier-based feature selection technique is incorporated. The performance of the proposed model is evaluated using standard metrics and compared with state-of-the-art techniques. Results demonstrate a superior classification accuracy of 99%, with the fusion model effectively differentiating between various AD stages. Furthermore, Class Activation Maps (CAMs) are utilized to visualize the model's decision-making process thereby enhancing trust in the model's predictions. We also provided a visual comparison of Grad-CAM, Grad-CAM++, Score-CAM, and Faster Score-CAM visualization techniques to assess the performance of these in highlighting discriminative regions for AD classification
Enriched Deep Neural Network Improved by Chaotic Harris Hawk Optimizer for Prediction of Behavioural Traits of Individuals
Authors: Jacqueline Christy , Singh Dr.K. Ranjith
Published: December 2024

The enduring patterns of thoughts, feelings, and behaviors that set one person apart from another are referred to as personality traits. A personality identification system could help a corporation find and hire suitable employees, enhance their business by understanding the preferences and personalities of their clients, and more. It necessitates the prediction of an individual’s personality classification to determine their behavioural traits using machine learning models. The distribution of class labels significantly affects the training phase of the conventional classification and ensemble algorithms resulting in an overfitting problem and affecting the accuracy rate of personality classification. Hence, in this proposed work deep neural network with its dense layer understands the pattern of the personalities of individuals based on their behavioural traits using the questionnaire prepared based on the demographics, education, and employment attributes. However, the parameters used in the deep neural network are assigned using the gradient descent method that assigns random values. These values are adjusted on a trial-and-error basis using the backpropagation method. This issue is solved in this proposed work by improving the performance of the deep neural network by adopting the chaotic Harris hawk optimizer to fine-tune the hyperparameter of DNN such as weight, bias, and learning rate in dense layers of DNN. The prey searching behavior with the chaotic mapping balances both local and global searching overcomes the early convergence and achieves the highest accuracy rate compared with other algorithms like ensemble models and machine learning models. The simulation results conducted on 725 samples, 20 attributes for prediction of personality trait based on the behavioural characteristics by the proposed model Enriched Deep Neural Network improved by Chaotic Harris Hawk Optimizer Algorithm (EDNN-CHHOA) achieves a better accuracy rate of 0.98% compared with other algorithms.
Introduction To Basic Mathematical Concepts Through Learning Media
Authors: Fatihatul Jannah Ghina , Robicha Naelatu , Khansah Inas Syarifah  , Rasilah Rasilah
Published: December 2024

Understanding fundamental mathematical concepts is essential for developing students' logical reasoning, critical thinking, and problem-solving abilities. This study employs a literature review methodology to analyze foundational mathematical concepts—such as numbers, arithmetic operations, geometry, algebra, and statistics—and their impact on students' learning and cognitive development. The findings indicate that interactive tools, cultural contexts, and hands-on learning media significantly enhance students' comprehension and retention of these basic concepts. Studies reviewed include applications of traditional games, visual aids, and realistic mathematics approaches, which help bridge abstract concepts with everyday life, thus fostering a deeper, more applicable understanding of mathematics. This research provides insights for educators to utilize varied, engaging approaches that support students' foundational knowledge, encouraging better academic outcomes and practical skills. The findings suggest that contextual and interactive methods in early mathematics education are crucial for cultivating a robust foundation for further learning.
Evaluating Artificial Intelligence Anxiety Among Pre-Service Teachers in University Teacher Education Programs
Authors: Falebita Oluwanife
Published: December 2024

Adopting artificial intelligence (AI) in education for various purposes has become prominent and has raised many user concerns. The concerns, apprehension, or fear that comes with the use of AI are referred to as Artificial Intelligence Anxiety (AI anxiety). Undergraduates are the most frequent users of AI in higher education. This study assessed AI anxiety among pre-service teachers. A survey conducted online was used for data collection. A sample of 1067 pre-service teachers in mathematics, science, and technology teacher education programs were purposefully selected for the study. A questionnaire was used to collect data regarding the pre-service teachers' AI-Anxiety in six dimensions: technology intimidation, societal impact, job displacement, technological dependence, technological dread, and ethical concerns. The instrument was hosted online through Google Forms, and the data gathered was analyzed descriptively (percentage, mean, and standard deviation) and inferentially (ANOVA and regression analysis). This study reveals a moderate level of AI anxiety among pre-service teachers. Levels of AI anxiety vary across the six dimensions, with five found to be high while only one was found to be at moderate level. It also found significant variations in the level of AI anxiety among pre-service teachers based on their area of speciality. Also, the study identified no significant influences of demographic characteristics on the level of AI anxiety among pre-service teachers, emphasizing gender. Thus, educators and institutions should urgently embark on AI literacy to improve the ethical use of AI technologies among pre-service teachers and ameliorate AI anxiety.
Critical Analysis and Problem-Solving Performance in Trigonometry Among College Students
Authors: Christine Joy L. Sosa  , Rosebelle Diane T. Ilagan  , Leah M. Lavarite  , Lovely Angel A. Polianario  , Joane F. Santiago  , Candelario - Aplaon Zussette
Published: December 2024

Problem-solving is believed to be the essence of mathematics learning. Problem-solving in Trigonometry is crucial for developing critical thinking and analytical skills, spatial reasoning, and a strong foundation for advanced mathematics. It also has practical applications in various fields, making understanding the factors influencing problem-solving skills essential. This study aims to investigate the specific role of critical thinking in trigonometry problem-solving performance. This study determined the critical analysis of mathematical translation and identifying appropriate formulas. On the other hand, the problem-solving performance was measured in terms of Polya’s framework, which included understanding the problem, devising a plan, carrying out a plan, and looking back. The study utilized a Descriptive-correlation research design to determine the significant relationship between the two variables. A summative test was used as the data-gathering tool to assess the participants' performance. The study participants were thirty-four (34) randomly selected college students at a particular state university in Oriental Mindoro. The data were analyzed using Mean, frequency-percentage, and Pearson’s r. The study's results revealed a significant relationship between the level of critical analysis and the level of performance in Trigonometry.
Practices of Good Governance in Budhanilkantha Municipality: Local Government Initiatives
Authors: Sapkota Khila Nath
Published: December 2024

This article explores good governance practices and public service delivery by elected representatives and administrative staff in Budhanilkantha Municipality, Nepal. It examines local government initiatives and emphasizes key principles of good governance such as accountability, transparency, justice, and participation. This study employs a mixed-methods approach, incorporating surveys and interviews, to assess key governance indicators, including transparency, accountability, public participation, and service delivery. Likewise, a stratified sampling method was used to select 120 respondents from all wards of Budhanilkantha Municipality. The findings provide a comprehensive overview of governance practices in the Municipality, highlighting strengths and improvement areas. While awareness of governance principles is generally high, challenges such as limited public participation, delayed public service delivery, and varying levels of transparency persist. The research underscores the importance of citizen engagement and the proactive implementation of good governance mechanisms to foster trust, enhance service delivery, and support sustainable local development. The insights derived from this case study offer valuable guidance for policymakers, practitioners, and community stakeholders seeking to strengthen governance frameworks at the local level.
Exploring How the Divergent becomes The Norm in Selected Works of 21st-Century Disability Fiction
Authors: Dr. Ziead Dhirgham Mahmoud
Published: December 2024

Twenty-first century literature featuring disability has shown a marked flight from the traditional and conventional representations of disability as sites of pity, compassion or fear. Two novels that ostensibly delineate this shift in disability cultural studies are The Quarry (2013) by Iain Banks and A Room Called Earth (2020) by Madeleine Ryan. Although almost a decade apart, the two novels portray neurodivergent protagonists whose disability is neither a badge of shame nor a defining characteristic. This provided the perfect opportunity to step into the other side of the normality divide and experience the world from the point-of-view of intellectually divergent characters without any of the negative bias of an external, able-bodied narrator. The analysis revealed how in the subjective realities of these protagonists the traditional concepts of normal and divergent were completely inverted thereby solidifying the idea that disability is not an absolute condition but a relative and socially constructed one and similarly authentic representations can go a long way in displacing the stigmatization and misconceptions surrounding the disabled.
A Critical Discourse Analysis of Imam Ali's (PBUH) Sermon during the Kharijites' Sedition
Authors: Dr.Mokhalad Naji Kamil,
Published: December 2024

Critical discourse analysis (ACD) is a qualitative approach to text analysis that stresses the dynamic interaction between the text and its context. The current study tries to investigate the three levels of interaction between Imam Ali (PBUH) and Kharijites—description, interpretation, and explanation adapting a descriptive-analytical method of Fairclough's theory. This study first focuses on the linguistic and rhetorical devices used in Imam`s sermons. Secondly, It exposes the betrayal of the Kharijites and the frustration of their confrontation with the dominant ideology of power in society. The results explain Imam Ali's ideological conflict with the Kharijites` ideology in his sermons, how he affects social and political events in society, and how he affects Kharijites` discourse.
The Impact of Parental Influence on Students' Music Subject Selection at A-level in Ugandan Secondary Schools
Authors: Ssekimpi Aloysius
Published: December 2024

This study investigates the impact of parental influence on students' selection of music as a subject in Ugandan A-Level secondary schools, amid declining enrolment in the music subject field. This research paper aims to understand how parental perceptions and attitudes toward music influence students’ subject choices, focusing on concerns over career viability and societal views on music subjects. A descriptive survey design was employed, involving questionnaires and interviews with 211 participants, including at A-level former music students (those who offered music at O-level and did not continue with it at A-level), their parents, school administrators, and music teachers. Stratified random sampling and purposive techniques were used to select respondents from secondary schools in central Uganda, with data collected through structured questionnaires and a Likert scale. Results indicate that parental discouragement significantly deters students from choosing music as a subject at A-level due to perceived limitations in career prospects and cultural attitudes, aligning with societal preferences for traditionally prestigious subjects. Limited generalizability outside of Ugandan A-level contexts may restrict the broader application of findings. Enhanced parental awareness and school-based counseling are recommended to promote music subject as a viable and valuable field.
Uso de inteligência artificial em predição de doenças crônicas
Authors: Tiago Helbert Carvalho
Published: December 2024

O trabalho aborda o uso da inteligência artificial (IA) na predição de doenças crônicas, com o objetivo de examinar sua aplicação na personalização de tratamentos e na melhoria da eficiência diagnóstica em condições como diabetes, hipertensão e câncer. A metodologia envolve uma análise crítica dos principais métodos e algoritmos utilizados na área, combinando revisão bibliográfica e estudos de caso para explorar como a IA pode transformar o gerenciamento de doenças crônicas. Os resultados destacam a eficácia da IA na detecção precoce e na personalização do tratamento, mostrando como intervenções direcionadas podem otimizar a saúde dos pacientes. Conclui-se que a integração da IA na medicina não apenas potencializa o diagnóstico e a abordagem terapêutica, mas também representa um avanço significativo na qualidade da assistência médica, ressaltando a necessidade de treinamento adequado para os profissionais de saúde e a superação de desafios éticos.
Efektivitas Kebijakan Pemberian BLT di Desa Pulubala Kecamatan Pulubala Kabupaten Gorontalo
Authors: Putri Regina Pakaya  , Zuchri Abdussamad  , Irawaty Igirisa
Published: December 2024

The research findings indicate that the effectiveness of the BLT policy in Pulubala Village, Pulubala Subdistrict, Gorontalo Regency as a whole assessed from the effectiveness indicators namely timeliness was still lacking. The certainty in the timing of the distribution of funds to the community was often hampered by the disbursement of funds from the center made the targeted people having difficulties to make ends meet. In terms of target appropriateness, there were still people who did not fit the criteria that were determined by the government to obtain this BLT assistance. The indicator of goal determination that the government and the village officials wanted to achieve for the distribution of funds to the community had been running optimally because the BLT-DD fund was used appropriately by the beneficiaries. However, target accuracy was still not optimal as a whole because it was less effective in term of selecting prospective beneficiaries, while other aspects was maximized, such as the purpose of distribution. Therefore, based on this analysis, it can be concluded that the effectiveness of the BLT policy in Pulubala Village, Pulubala Subdistrict, Gorontalo Regency was not optimal. In the future, it is expected that there will be more appropriate schedule and distribution of BLT to the beneficiaries, and no more nepotism in selecting prospective beneficiaries.
Analysis of the Quiet Quitting Phenomenon with Work Engagement and Job Satisfaction as mediators, Study of Employees in Indonesia Banking Industry
Authors: Sitorus Melissa Gilbert , Rachmawati Riani
Published: December 2024

The phenomenon of quiet quitting has significantly captured global attention across various industries in recent years. Quiet quitting refers to a form of employee disengagement characterized by limiting their efforts to meeting minimal expectations and avoiding additional tasks or responsibilities beyond what is explicitly required. This behavior impacts organizational performance, workplace dynamics, and employee well-being. When employees silently disengage from full involvement in their work, organizations may experience decreased productivity, hindered teamwork dynamics, and challenges in retaining top talent. This research aims to analyze the determinant factors in the quiet quitting intention phenomenon, mediated by work engagement and job satisfaction. Data were collected through a questionnaire and analyzed quantitatively from 405 employees of a banking sector company in Indonesia using purposive sampling and analyzed with Partial Least Square-Structural Equation Modeling (PLS-SEM) using Smart PLS. By understanding these signs, organizations can early detect quiet quitting intention behaviors and take appropriate steps to determine the necessary actions to address the underlying issues of quiet quitting behavior.
Penerapan Model Indeks Tunggal dalam Menganalisis Portofolio Saham Optimal dan Peramalan Harga Saham Optimal Menggunakan Long Short-Term Memory
Authors: Aeni Kurnia
Published: December 2024

Investors in choosing stocks are not only on one type of stock, but can diversify. In this study, Blue Chip stocks were used which was carried out in two stages. The first stage is the Single Index Model to obtain an optimal stock portfolio. The second stage, the optimal share price results from the Single Index Model, namely Bank Mandiri (Persero) Tbk (BMRI), is followed by a forecasting process using Long Short-Term Memory (LSTM). The purpose of this study is to apply the Single Index Model to analyze the portfolio on Blue Chip stocks, forecast the selected optimal stock price in the next day, and evaluate the results of the selected optimal stock price forecasting. In the first stage, the Single Index Model uses data for the period from February 1, 2021 to February 1, 2024. The second stage, forecasting with LSTM uses data for the period from February 1, 2021 to February 29, 2024. The results of the first stage were obtained with optimal shares of 13 shares out of 41 Blue Chip shares. The most optimal stock was obtained by BMRI shares. The second stage is the use of BMRI shares with LSTM forecasting. The results of the second stage were obtained by forecasting the stock price performance with the best performance, so that it shows that the stock price performance on March 1, 2024 was obtained of IDR 6894,574. The accuracy of forecasting stock price performance with MAPE is 4.23%. It can be said that the forecast of stock price performance has very good accuracy.
The Influence of Cash Flow, Net Profit and Company Size on Stock Prices in Food and Beverage Companies Listed on the Indonesia Stock Exchange (BEI) Period 2018 - 2022
Authors: Khofifah Resti
Published: December 2024

This study aims to empirically prove the effects of cash flow, net income, and company size on the stock prices of food and beverage companies listed on the Indonesia Stock Exchange (IDX) from 2018 to 2022. The population in this study consists of 48 food and beverage companies. The sampling technique used is purposive sampling, based on predetermined criteria, resulting in a sample of 18 companies over a five-year research period, totaling 90 samples. The analytical method employed is quantitative analysis using multiple linear regression, t-tests, and F-tests with the assistance of SPSS 26. The results indicate that, partially, cash flow has no significant effect on stock prices, net income has a positive and significant effect on stock prices, and company size has a negative and insignificant effect on stock prices. Furthermore, simultaneously, cash flow, net income, and company size have a positive and significant effect on stock prices.
Benefícios da logística reversa do polietileno: um estudo de caso
Authors: Mansano Luis Eduardo , Morando Paveloski Erica , Moura Pinto Edilson
Published: December 2024

O uso extensivo de caixas de madeira para o transporte de hortifrúti se transformou nos últimos anos, em decorrência das políticas públicas referentes às boas práticas de higiene no setor de transporte de alimentos. Após a proibição do trânsito de objetos de madeira nos estabelecimentos de alimentações, os produtores de caixotes foram impelidos a buscar alternativas para permanecer competitivos no mercado. Como resultado, houve mudança do tipo de produto ofertado e as caixas de madeira foram substituídas por caixas de polietileno de alta densidade (PEAD), modicando, assim, toda a cadeia de suprimentos, introduzindo processos de reciclagem. Neste contexto, este trabalho tem como objetivo avaliar e demonstrar a viabilidade econômica, social e ambiental proporcionadas pela logística reversa do PEAD neste setor. O estudo feito a partir de pesquisa de campo demonstra os benefícios da mudança na cadeia produtiva para a empresa, sociedade e ambiente, alcançados a partir da reciclagem do PEAD. A empresa que buscou vantagens competitivas obteve benefícios sociais com a melhoria de qualificação e de salário do quadro de colaboradores e resultados ambientais positivos com a reciclagem dos resíduos. Além disso, impetrou vantagens financeiras com uma cadeia de produção que permite lucros superiores aos do processo envolvendo a madeira
Taxa de Juro real no Brasil: análise de curto e longo prazos
Authors: Hoji Masakazu , Carobino Carlos Henrique
Published: December 2024

Durante os anos de 2020 e 2021, a taxa de juro real anual no Brasil foi “negativa”, de 1,69% e 5,11%, respectivamente. O presente estudo de caso tem a finalidade de analisar o comportamento de juros reais no Brasil, que exerce impacto sobre o volume de investimentos estrangeiros no País, além de influenciar as tomadas de decisões financeiras de poupar dos investidores. Para saber o que é juro real, há necessidade de conhecer um pouco a história do dinheiro até chegar no dinheiro digital, bem como conhecer a formação das taxas de juros. A análise da taxa de juro real, nesta pesquisa, abrange um período de 9 anos e 9 meses (dezembro de 2012 a setembro de 2022) e foram empregados nos cálculos os fundamentos de matemática financeira. As conclusões são frutos de análises de juros reais no curto e no longo prazo.
Ferramentas de IA aplicadas à Gestão de Projetos e processos: uma Experiência com Chatbot
Authors: Ferreira Godoy Ana Beatriz , Prignacca Mariana , Cruz Emerson
Published: December 2024

A eficiência na gestão de projetos é crucial para o sucesso das organizações, afetando setores diversos, da tecnologia às operações. A falta de eficiência nesse processo pode resultar em perda de tempo e recursos. A ascensão da inteligência artificial, como os chatbots, oferece soluções para esse desafio, melhorando a produtividade. Esse estudo desenvolveu um protótipo de chatbot usando a plataforma Dialog Flow, evidenciando aderência positiva dos usuários, apesar de algumas inconsistências nas respostas. Essas interações estimularam melhorias e aumentaram o interesse dos estagiários, indicando potencial para aprimoramento contínuo. A pesquisa destaca a eficácia dos chatbots adaptados às necessidades empresariais, ressaltando a importância da integração, personalização e coleta contínua de dados. Além disso, revela o potencial de transformar as operações empresariais e criar novas áreas de especialização relacionadas aos agentes inteligentes. A utilização de chatbots emerge como uma estratégia valiosa para alcançar processos mais eficientes e econômicos, contribuindo para a otimização da gestão de projetos e processos.
Cliente Oculto como estratégia de inovação para validação de atendimento em um comércio varejista de vestuário em Bauru-SP
Authors: De Andrade Ussuna Guilherme , Martins Coelho Trevisanuto Tatiene
Published: December 2024

Em um mundo dos negócios cada dia mais competitivo e desafiador, conhecer as necessidades do mercado é quase sinônimo de sobrevivência. É nesse certame que ferramentas e métodos para retenção do cliente surgem como fortes aliados dos empreendedores. Aliado a este discurso; este estudo de caso buscou, com a aplicação do método do Cliente Oculto entender quais são os enlaces necessários de ajuste para retenção de clientes atrelados ao atendimento de uma empresa de comércio varejista de vestuário situada na cidade de Bauru/SP. Como forma de respaldar tal método, utilizou-se das premissas do método do inovador presente no Programa BRASIL MAIS – ALI validando as ações corretivas necessárias pós aplicação do Cliente Oculto. Como resultado, o estudo apresentou possibilidades significativas para identificação de problemas com um olhar extra empresa e mecanismos de controle, como planos de ação, previamente testados para sanar tais problemáticas. Quanto ao resultado, o estudo de caso contribui significativamente para a exposição de um case real, passível de replicação prática em outras micro e pequenas empresas auxiliando diretamente na gestão dos negócios.
Transformación educativa en el siglo XXI: Integración de Tecnologías Emergentes para el Aprendizaje Efectivo
Authors: Rochina Chileno Segundo Calisto , Duarte Mora Martha Janina , Macanchí Pico Mariana Lucía , Tipantuña Soria Esthela Geoconda
Published: December 2024

Este artículo revisa la integración de tecnologías emergentes en la educación del siglo XXI y su impacto en el aprendizaje efectivo, analizando 85 estudios publicados entre 2015 y 2023. Se identifican tecnologías clave como la inteligencia artificial, la realidad aumentada, la realidad virtual y las plataformas de aprendizaje en línea, que han demostrado mejorar el rendimiento académico, personalizar el aprendizaje y aumentar la motivación y colaboración entre estudiantes. Sin embargo, también se destacan desafíos significativos, como la brecha digital, que limita el acceso equitativo a la tecnología, y la resistencia al cambio por parte de educadores y administradores. Para abordar estos desafíos, se proponen recomendaciones prácticas, incluyendo la inversión en infraestructura tecnológica, el desarrollo profesional docente, la promoción de una cultura de innovación y la implementación de políticas de protección de datos. En conclusión, la transformación educativa en el siglo XXI requiere un enfoque integral que maximice el potencial de las tecnologías emergentes mientras se enfrentan los obstáculos existentes. Al adoptar un enfoque centrado en el estudiante y en la personalización, las instituciones educativas pueden crear entornos de aprendizaje más efectivos y equitativos, preparando a los estudiantes para enfrentar los desafíos del futuro en un mundo en constante evolución.
Assurance mechanisms of human rights and freedoms in the contravention process
Authors: Erhan Ianus
Published: December 2024

The contravention process represents the activity carried out by the competent authority, with the participation of the parties and other persons holding rights and obligations, with the aim of establishing the contravention, examining and solving the contravention cause, ascertaining the causes and conditions that contributed to the commission of the contravention. Even if the Code of Contravention in art. 374 establishes that the contravention process is carried out on general principles of contravention law, it also mentions the Constitution, the Code of Criminal Procedure in the cases expressly provided for by this code, as well as the norms of international law and international treaties regarding the fundamental rights and freedoms of to the human to which the Republic of Moldova is a dedicated party, the European Convention on Human Rights. The regulations provided by the European Convention, as well as the judgments issued by the European Court have a legal force superior to the internal norms that make up the national legal systems. The judgments of the European court do not only have the authority of a res judicata, but also the authority of an interpreted matter, at the same time, the Court examines referrals regarding contraventions through the lens of the rules regarding criminal acts. During the contravention process, the perpetrator, as well as other participants, have certain rights and freedoms that are guaranteed by the legislation and ensured by the authorities with powers to ascertain and examine the contravention cases, respectively, the finding agent, the prosecutor, the court. On the other hand, the participants in the contravention process, in particular, the perpetrator, must be aware that their rights may be limited, as well as the fact that they also have certain obligations. For their part, the competent authorities should ensure that their employees with the status of finding agents understand and know the mechanism for ensuring human rights and freedoms in the contravention process.
The perspectives and advantages of the application of the electronic document in the contravention process
Authors: Trofimov Igor , Cernauteanu Viorel
Published: December 2024

Adoption of legislation regarding the electronic document has been an important measure in the development of social relations and in speeding up the pace of life in our society. Until recently, some thirty years ago, it was quite difficult to imagine signing a document without a handwritten signature, but today it is a matter of course. More importantly, the legislator no longer gives priority to the written document, but determines its substance according to its content, but not its form. The form remains only an element ensuring the enforceability of the document, but not its nature. According to our opinion, at the present stage, the practice of electronic document application has been retarded in the contravention process, as well as in the criminal and civil ones, and the criminal and contravention process is “enjoyed” by the presence of the electronic document only occasionally. More often than not it is generated not by the authority examining the case, but by other subjects involved in the process. In this perspective, the practice initiated by the General Inspectorate of Police in documenting contravention cases by means of the electronic file is, in our opinion, a first step in the process of creating the „e- dosar” system. For these reasons, the theoretical solution of the problems related to the electronic document is today an urgent necessity, because it is through the implementation of this system that we will be able to ensure the implementation of the principle of celerity.
Methodology for assessment of illegally obtained evidence in criminal procedure: regional standards and national law problems
Authors: Leontieva Svetlana , Toderica Vlad
Published: December 2024

In analyzing evidence obtained illegally it is essential to address both regional standards and specific aspects of national law. The correct assessment of these aspects is crucial for ensuring fair justice and respect for fundamental rights. In order to assist the adoption of decisions by judges and prosecutors in the matter of illegally obtained evidence, at the end of the article we propose some methods developed on the basis of comparative research, which are based on the regional jurisprudence of some member states of the European Union. These methods incorporate different rationales for excluding illegally obtained evidence and allow us to assess the impact of the violation of legal norms on the collection of evidence.
Case law as a source of law: normative and doctrinal dilemmas
Authors: Butucea Eugen
Published: December 2024

The article contains a study of the place and value of case law in the system of sources of law. As a result of the analysis of several doctrinal opinions, the author argues that case law is not a source of law, it is an important source of uniform interpretation of law by the judiciary in the context of the dispensation of justice.
Tracking digital assets
Authors: Capatina Mihaela
Published: December 2024

The continuous and accelerated evolution of society necessitates the development and adaptation to current realities in all social spheres, including the justice system, where digitalization is no longer an aspiration but a pressing necessity. The digitalization of justice, including civil proceedings, entails not only the modification of civil procedural legislation but also the implementation of viable mechanisms that align with the technological level of societal development. By digitalization of justice, we understand the process of adopting and integrating digital technologies within the judicial system and the administration of justice. Undoubtedly, the integration of digital technologies also pertains to the execution procedure, which is the most complex and crucial stage in a civil process, upon the effectiveness of which largely depends the achievement of the ultimate goal of the civil process. The tracking of digital assets involves the process of identifying, monitoring, and authenticating rights and ownership of digital objects and elements in the virtual or online environment, for the purpose of executing tasks and achieving the objectives of the execution procedure. Achieving these goals requires amendments to both civil and civil procedural legislation, considerations which will be examined in the present study.
Powers of the constitutional court of the Republic of Moldova and Romania: comparative approach
Authors: Gherghelegiu Tatiana
Published: December 2024

The study is devoted to the comparative approach of the purpose and powers of the courts of constitutional jurisdiction in two countries - the Republic of Moldova and Romania, aiming to identify and analyze similarities and differences, as well as to elucidate the most optimal models for their regulation.
Constitutional liability of the head of state
Authors: Balaban Mihai
Published: December 2024

The head of state occupies an important place in the mechanism of interaction between branches of power, and contributes to ensuring the functioning of state authorities. At the same time, the responsibility of the head of state intervenes in case of violation of the constitutional provisions in the matter. Thus, the forms of responsibility of the head of state in the Republic of Moldova and their grounds are provided by the Constitution. The Constitution of the Republic of Moldova provides for two mechanisms of liability of the President of the Republic, namely: legal liability (criminal) and political liability (constitutional).
Innovative surface engineering of sustainable polymers: Toward green and high-performance materials
Authors: Raja Subramani , Ali Rusho Maher , Sekhar K Ch , Suresh Kumar Kassa , Alagarraja K. , Praveen Kumar Avvaru , Karthikeyan S. , Devidas Meshram Pawan , Saravanan N. , Nagabhooshanam
Published: December 2024

The development of sustainable polymers is critical to the progression of greener manufacturing processes, especially for the additive manufacturing technologies of fused deposition modeling (FDM). The study aims to explore potential application surface engineering techniques that enhance the performance of these sustainable polymers within the context of FDM. Various surface modification methods, such as plasma treatment, chemical etching, and UV irradiation, were utilized on biodegradable and recycled polymers, with the treatment process conducted under controlled conditions. Mechanical testing was done using a Tinius Olsen universal testing machine, with surface morphology analyzed through scanning electron microscopy. The outcome indicated that the tensile strength of polylactic acid improved by 15% with plasma treatment, while the thermal stability of recycled polyethylene terephthalate improved by 12% with chemical etching. Surface engineering developments on various techniques will be reviewed, particularly in optimizing them within FDM processes for different types of polymers. Different surface modifications will be compared here, analyzing aspects such as adhesion, endurance, and more overall performance. This comparison provides a fundamental outlook into the relationship between surface treatment and polymer performance, paving the way for optimization of FDM processes in sustaining material applications. These findings serve as further guidance toward making additive manufacturing much more sustainable and efficient through advanced surface engineering. The numerical improvement of material properties observed in the study will aid in further endeavors towards achieving sustainability and efficiency in additive manufacturing.