bluuebunny/crossref_metadata_2025 huggingface dataset:
Born Out of Crisis, Revels in Turmoil: Iran’s Islamic Republic at Home and Abroad
Authors: Parchami Ali
Published: September 2024

Iran’s Islamic Republic regime is adept at functioning amidst turmoil. In Triumph and Despair, Mehran Kamrava shows how structural bifurcation, parallel institutions, and fluid political factions are enduring sources of tension within an already hybrid political system. Far from being a handicap, the regime uses internal friction to deflect blame from its shortcomings and to sow confusion among opponents. Nor does it recoil from domestic turmoil, with crisis management increasingly a strategy of choice to compensate for its diminishing legitimacy and failures in governance. Abroad, too, the Islamic Republic seems to revel in geopolitical upheaval in pursuit of overturning the Middle Eastern security architecture. Relying on non-state affiliates as deterrents and power multipliers, it is opportunistic in ensnaring adversaries in proxy conflicts, or exploiting their entanglements, while minimizing the risk of direct confrontation with itself. In Reading Revolutionary Iran, Ze’ev Maghen explains the strategic culture behind the regime’s ambitions.
Exploration of the Links Between Psychosocial Well-being and Face Recognition Skills in a French-Speaking Sample
Authors: Nigrou Trishia , Hansenne Michel , Devue Christel
Published: September 2024

Face recognition abilities vary tremendously in the general population. People at the lower end of the spectrum, those with developmental prosopagnosia, report stress, anxiety or social interaction issues due to their poor face recognition abilities. It is thus important to develop adequate diagnostic tools convenient to use for clinicians and to examine relationships between face recognition skills and negative affects. In the present study, we provide a validated French translation of the 20-item prosopagnosia index (PI20), a self-report measure used to detect people with developmental facial identity recognition deficits (Shah et al., 2015; Tsantani et al., 2021). We also examined links between face recognition skills measured with the PI20 and a standard face recognition test (Cambridge face memory test-CFMT; Duchaine & Nakayama, 2006) and measures of social anxiety (social interaction anxiety scale, social phobia scale) and negative affects (state trait anxiety scale, Beck depression inventory). We did not find any significant correlation between the CFMT and measures of psychosocial well-being and only found a weak positive association between the PI20 and social interaction anxiety. Although this association is weak and warrants further research, raising awareness about developmental face recognition issues may help improve the well-being of people with facial identity recognition deficits and provide new investigation or intervention avenues for clinicians who treat patients with social interaction anxiety.
Determination of Professional Belonging Level and Affecting Factors in Student and Working Midwives
Authors: Karaman Sefa , Şolt Kırca Ayça , Hür Seçil
Published: September 2024

Objective: The research has been carried out to determine the professional belonging of the undergraduate senior students studying midwifery at universities in Turkey and the midwives with a bachelor’s degree who are actively working as midwives in the field. Methods: The descriptive and cross-sectional study was conducted with 174 midwifery senior undergraduate students studying at universities in Turkey and 171 midwives with a bachelor’s degree in the field between January 17 and April 29, 2022. The data were gathered through Google Survey Forms using introductory information form prepared by the researchers, including socio-demographic characteristics, views on the midwifery profession, professional activity information, and the Midwifery Belonging Scale. The number percent distribution, the chi-square analysis, the Mann Whitney U test, and the Kruskall Wallis test were used in the evaluation of the data, and the post-hoc Bonferonni test was used in the further analysis. Results: 50.43% of the participants in the research are senior undergraduate students, and 49.57% of them are working midwives. The total average score of the student midwives on the midwifery belonging scale is 93.18±10.01, and 90.21±13.18 for the working midwives. While a statistical difference was found between the student midwives and the working midwives in the emotional belonging sub-dimension mean scores of the scale, no difference was found in the other sub-dimension mean scores (p
The Arganeraie Biosphere Reserve (ABR): entrepreneurship in ecotourism, opportunities and constraints
Authors: Oulmoudne Aaziz , Chakre Fatima Ben
Published: September 2024

The objective of this paper is to determine the role that the dynamics of tourism entrepreneurship play in the sustainable development of the ABR territories, mainly in rural areas, by identifying the entrepreneurial process and the implications of the specificities of rural tourism entrepreneurship; that is, the criteria to be operationalized in the context of ecotourism activities to promote eco-responsible development.
After having evoked the theoretical and conceptual aspects relating to entrepreneurship, ecotourism and the ABR space using a literature review, an investigative study, an exploratory qualitative study, was then carried out among tourism stakeholders spread over the Souss Massa region, in the Arganier territory.
At the end of our survey, we found that the ecotourism sector remains underdeveloped in the ABR, and only marginally contributes to the local economy. The tourism activity undertaken shows insufficient dynamism to propel the development of tourism and sustainable economic development of the ABR. Entrepreneurship in ecotourism would offer economic opportunities while preserving the natural environment and the cultural richness of the ABR.
Case study: chemical contaimnent in parrots (Amazona SP - Lesson, 1830) from de Quinzinho de Barros Zoological Park, municipality of Sorocaba, São Paulo
Authors: Moraes Nicoly Dos Santos , Lima Tatiane Gonçalves de , Lopes Edris Queiroz
Published: September 2024

The containment and anesthesia of wild animals is extremely important for veterinarians who intend to or already practice in this field. However, before administering anesthesia, it is essential to understand the pharmacology of anesthetics and the biological aspects related to the anatomical, physiological, and behavioral peculiarities of the species to be restrained. The aim of this research was to evaluate parameters such as heart rate (HR), respiratory rate (RR), temperature (T°), muscle relaxation, reflexes (palpebral, ocular, and pedal), and respiratory pattern in four anesthetic protocols: ketamine 5% at a dose of 30mg/kg combined with xylazine 2%-2mg/kg; ketamine 5% at doses of 15mg/kg and 20mg/kg with diazepam 1% at a dose of 1mg/kg; diazepam 0.5% at a dose of 5mg/kg 15 minutes before isoflurane administration; and the use of isoflurane alone in parrots (Amazona sp) kept at the Quinzinho de Barros Municipal Park, Sorocaba, São Paulo. Eleven animals were used: three with the ketamine combined with xylazine protocol, three with ketamine plus diazepam, three with diazepam before isoflurane, and two with the isolated use of isoflurane. The results of this research showed that with the use of ketamine combined with xylazine at this dosage, only superficial sedation was achieved. With the supplementary dose of ketamine and xylazine, the animal reached a moderate anesthetic plane, but respiratory depression occurred. The use of diazepam combined with ketamine 5% at a dose of 15mg/kg is only recommended for minor procedures. Recovery was slightly less prolonged and with less cardiorespiratory depression compared to the use of ketamine combined with xylazine. Diazepam 0.5%-5mg/kg before isoflurane did not allow for the intubation of the animal; it served to reduce the stress of restraint, requiring a lower concentration of isoflurane for induction. Apnea was observed with the increase of isoflurane concentration, even with the use of diazepam before isoflurane. With the isolated use of isoflurane, the animal reached a moderate to deep anesthetic plane, which would allow for more invasive procedures.
Klasterisasi Daerah Rawan Kriminalitas di Sulawesi Tenggara Menggunakan Metode K-Means Clustering
Authors: - Muh. Afdal Ziqri Ramadhan
Published: September 2024

Crime is anything that relates to unlawful behavior. In every society, the presence of crime affects social dynamics, levels of security, and general well-being. Southeast Sulawesi in the midst of its diversity is facing a significant increase in crime, this is evident from the 3,000 cases that have been reported. The purpose of this research is to categorize crime-prone areas in Southeast Sulawesi using the K-Means Clustering method. K-Means is a research data analysis method or a data mining method that will carry out modeling without supervision (unsupervised). The data from this research was taken from the sultra.bps.go.id web page. The data taken in the form of data on the number of crimes and the percentage of crime victims in the regions of Southeast Sulawesi. The results of this study obtained 3 clusters of crime-prone areas in Southeast Sulawesi. The clustering evaluation results if calculated by the Daviees Bouilden Index method is as much as 0.5904 index.
Implementasi Algoritma Needleman-Wunsch dalam Pengujian Tingkat Kemiripan DNA Babi Sulawesi Utara
Authors: Ngovangari Rivchi Hanni , Rorimpandey Gladly Caren , Kembuan Olivia , Sumual Hendro Maxwell
Published: September 2024

Data is a collection generated from various media used by humans. DNA data is a form of data, which is data in the form of genetic code text to store biological identities and characteristics of living things. This study used DNA to test the similarity level of North Sulawesi pigs. The method used is the Pairwise Sequence Alignment method. With sequences of different DNA lengths, the researcher implemented the Needleman-Wunsch algorithm for alignment. Matching is used using the BioPython module, which is in pairwise2. And this study produces a model and proportion of the similarity level of North Sulawesi Pigs that can be used as future references for biological research on molecular biology or for the field of informatics in implementing Needleman-Wunsch algorithm in Python, or references and additional knowledge for research in Bioinformatics.
Implementasi Random Forest dalam Klasifikasi Kanker Paru-Paru
Authors: Benaya Dony
Published: September 2024

Lung cancer is a serious disease that threatens global health due to its high morbidity and mortality rates. To reduce lung cancer mortality, a more precise diagnostic approach is needed. The aim of this study was to improve the sensitivity and specificity in detecting lung cancer, to support early detection efforts and more effective management. The research method involved a series of steps from data collection to model performance evaluation. Data was collected, cleaned, and analyzed for correlation before going through the preprocessing stage. Model training was conducted using the Random Forest Classifier algorithm, which proved effective in modeling the complexity of lung cancer data. The results prove that the model used can achieve an accuracy rate of 78%. The uniqueness of this research lies in the application of machine learning techniques to improve lung cancer diagnosis. By combining ADASYN oversampling with the Random Forest Classifier algorithm, this research has proven potential in the sensitivity and specificity of detecting the disease. These findings provide an important foothold in the development of more advanced and efficient diagnostic methods for lung cancer, paving the way for more effective early detection efforts and better disease management.
Rancang Bangun Repository Publikasi Dosen di Universitas Negeri Manado Menggunakan Metode Waterfall
Authors: Fadly Iriansyah
Published: September 2024

Publikasi ilmiah dan riset merupakan aspek yang penting dalam perkembangan ilmu pengetahuan. Publikasi ilmiah dosen juga menjadi syarat akreditasi dan akan menjadi siklus penilaian berkelanjutan dalam penilaian program studi di UNIMA. LPPM UNIMA mempunyai tugas untuk  untuk mengelola publikasi setiap dosen, namun untuk pengumpulan publikasi dosen masih dikelola secara manual. Dimana LPPM harus menghubungi dosen satu-persatu untuk membawakan publikasi tersebut dan dicatatkan dalam excel kemudian diarsipkan dalam gudang LPPM. Adanya permasalahan tersebut, mendorong untuk pembuatan repository publikasi dosen di UNIMA untuk mempermudah dalam pengelolaan publikasi dosen maupun penyajian laporan rekapan publikasi dosen. Pengembangan repository yang menggunakan metode waterfall dari tahap analisis, desain, pengkodean hingga pengujian. Pemodelan sistem didokumentasikan yaitu Data Flow Diagram (DFD).  Dalam Pengujian repository menggunakan metode pengujian black box, sehingga mampu menjawab maupun memperlihatkan bahwa repository yang dibuat sudah sesuai dengan tujuan peneliti dan mampu memenuhi kebutuhan pengguna.
Explainable Artificial Intelligence Methods for Breast Cancer Recognition
Authors: Damaševičius Robertas
Published: September 2024

Breast cancer remains a leading cause of cancer-related mortality among women worldwide, necessitating early and accurate detection for effective treatment and improved survival rates. Artificial intelligence (AI) has shown significant potential in enhancing the diagnostic and prognostic capabilities in breast cancer recognition. However, the black-box nature of many AI models poses challenges for their clinical adoption due to the lack of transparency and interpretability. Explainable AI (XAI) methods address these issues by providing human-understandable explanations of AI models’ decision-making processes, thereby increasing trust, accountability, and ethical compliance. This review explores the current state of XAI methods (Local Interpretable Model-agnostic Explanations, Shapley Additive explanations, Gradient-weighted Class Activation Mapping) in breast cancer recognition, detailing their applications in various tasks such as classification, detection, segmentation, prognosis, and biomarker discovery. By integrating domain-specific knowledge and developing visualization techniques, XAI methods enhance the usability and interpretability of AI systems in clinical settings. The study also identifies the key challenges and future directions in the evaluation of XAI methods, the development of standardized metrics, and the seamless integration of XAI into clinical workflows.
Análise da taxa de eficácia e tolerância da touca de crioterapia contra alopécia durante o tratamento quimioterápico no câncer de mama
Authors: Gonçalves Aline Belle Moraes , Ferraz Maria Alice Montalvão , Keller Lucas Ramos , Barbosa Mariana Amorim , Mota Márcio Rabelo
Published: September 2024

Este estudo avaliou o impacto da touca de crioterapia na queda de cabelo durante o tratamento de câncer de mama. Foram analisadas 27 pacientes, com coleta de fios de cabelo, aplicação de um relatório específico e análise microscópica dos fios. Os resultados mostraram que pacientes que usaram a touca de crioterapia perceberam alterações no cabelo em relação ao período pré-tratamento, incluindo fios mais opacos e diminuição da espessura. Apesar dessas mudanças, as pacientes não relataram impacto negativo significativo em seu cotidiano, continuando a usar a touca devido à sua importância na autoaceitação e autoestima. Elas destacaram que a touca ajudou a minimizar a percepção de estar enfrentando o câncer. Em contraste, as pacientes que não utilizaram a touca notaram mudanças mais evidentes, como diminuição e aumento da espessura dos fios, além de cabelos mais quebradiços e opacos. Essas alterações impactaram negativamente a aparência e autoestima dessas pacientes. A análise documentou que a crioterapia reduz os danos psicológicos da quimioterapia, principalmente a queda capilar, melhorando a autoestima e autoaceitação feminina. As pacientes que usaram a touca apresentaram menos impactos negativos do que aquelas que não a utilizaram. O estudo confirma a eficácia da touca de crioterapia na redução da queda de cabelo e no suporte psicológico durante o tratamento do câncer.
Políticas educacionais em regiões de fronteira
Authors: Wathier Valdoir Pedro , Barreto João Carlos Gonçalves , França Eriwelton Ferreira de , Reis Gauss Catarinozi
Published: September 2024

O artigo trata de políticas educacionais para as regiões de fronteira seca e seu papel para a defesa nacional. O estudo foi realizado com metodologia qualitativa e quantitativa. Partindo de análise do Índice de Desenvolvimento Básico da Educação (Ideb), foram comparados os resultados dos municípios quanto ao pertencimento ou não à faixa de fronteira. Identificou-se que os municípios em faixa de fronteira possuem, em média, resultados superiores aos não pertencentes à tal faixa, porém, com nuances distintas: no Sul, as médias da faixa de fronteira são superiores às dos municípios orientais, ambas expressivas em relação às nacionais; no Norte, municípios de faixa de fronteira têm resultados melhores do que os demais municípios, mas ambos baixos em relação ao país; no Centro-Oeste, há discrepância em desfavor da faixa de fronteira, especialmente em Poconé/MT. Em análise deste município, há alcance de programas federais, porém, de forma genérica e com descontinuidades. Não se obtém sucesso na educação fundamental, onde há elementos basilares como o domínio da língua materna e a aproximação com o conhecimento científico, mesmo assim, há ampla produção científica em relação à região. Concluiu-se que o Desenvolvimento da faixa de fronteira seca noroeste/norte é uma relevante estratégia para a Defesa Nacional, o que exige atuação das múltiplas instituições que compõem o Estado brasileiro, com destaque para a Educação. A postura que o Brasil adota para a faixa de fronteira, em especial nas regiões menos desenvolvidas, também define a fronteira de nossas possibilidades como nação e no cenário global.
Plane straight element with semi-rigid connections: formulation from an energetic approach
Authors: Sousa Rafael Araujo de , Pitaluga Frederico Henz , Cheung Andrés Batista , Christoforo André Luis
Published: September 2024

Discrete connectors, such as screws, nails, and others, are commonly used to fasten various structural elements. The established hypothesis regarding the behavior of joints conceived with discrete connectors directly impacts the distribution of forces. For example, in the design of truss structures, the resisting moments that arise due to the arrangement of the connectors are often disregarded, as considering the semi-rigid behavior of the joints introduces greater complexities in the modeling required to determine displacements and internal forces. This work presents the stiffness matrix of a plane straight element with semi-rigid connections and its support reactions for three loading cases from the application of the Principle of Virtual Work (PVW). Semi-rigid connections are represented by translational and rotational linear elastic springs at both ends of the element, giving it six degrees of freedom. One example shows the application of this formulation using the Classical Displacement Method and the results are also obtained numerically via the Finite Element Method (FEM)This work presents the stiffness matrix of a plane straight element with semi-rigid connections and its support reactions for three loading cases from the application of the Principle of Virtual Work (PVW). Semi-rigid connections are represented by translational and rotational linear elastic springs at both ends of the element, giving it six degrees of freedom. One example shows the application of this formulation using the Classical Displacement Method and the results are also obtained numerically via the Finite Element Method (FEM).
Panorama da Síndrome Respiratória Aguda Grave em crianças de 0 a 14 anos no Brasil de 2013 a 2021: um estudo epidemiológico antes e durante a pandemia de COVID-19
Authors: Costa Ana Carolina Messias de Souza Ferreira da , Cahú Amina Kadja Martins , Leite Tonny Cley Campos , Vizzotto Dianefer , Nascimento Maraisa do , Pereira Fatima Gisselle Amarilla , Soares Jéssica de Freitas , Sousa João Vinícius Silva , Pereira Letícia Souza Alves , Rodrigues Milena da Silva
Published: September 2024

Objetivo: Este estudo visa compreender detalhadamente os sintomas e a epidemiologia da Síndrome Respiratória Aguda Grave (SRAG) em crianças, abrangendo o período de 2013 a 2021. Métodos: A análise foi focada exclusivamente em crianças e adolescentes hospitalizados por SRAG, cobrindo o período de janeiro de 2013 a agosto de 2021, com dados meticulosamente registrados no banco de dados SIVEP-Gripe. Os dados foram sistematicamente agrupados por ano, mês, sintomas e comorbidades, e analisados por meio de regressão logística binária e medidas percentuais, facilitados por softwares especializados. Resultados: Entre 2013 e 2019, a SRAG foi predominantemente observada em meninos menores de 1 ano, com uma diminuição notável na incidência à medida que a idade aumentava. No entanto, em 2020, ocorreu uma mudança significativa, com as crianças mais velhas sendo mais afetadas. Os sintomas mais frequentemente relatados incluíram tosse, seguida de febre, dor de garganta, dispneia, mialgia e fadiga. Conclusão: Os resultados destacam que certos grupos são mais vulneráveis à SRAG: especificamente, crianças menores de 1 ano, aquelas com idades entre 11 e 14 anos com condições cardíacas preexistentes, e crianças a partir de 3 anos que são imunodeprimidas ou que sofrem de doenças renais. Isso sugere a necessidade de maior vigilância e medidas preventivas direcionadas para esses grupos de alto risco.
Multiple Disease Prediction System using Machine Learning
Authors:   Department of Computer Science and Engineering, Amity School of Engineering and Technology, Lucknow, Amity Univer-sity, Uttar Pradesh, India, Rehman Ahad
Published: September 2024

Machine learning advancements have spurred a revolution in healthcare by making it possible to create prediction models for early disease diagnosis. This report introduces the Multiple Disease Prediction System (MDPS), a state-of-the-art approach that uses machine learning to forecast the likelihood of several diseases based on patient data, including medical history, lifestyle, and demographics. The MDPS addresses the growing difficulties in healthcare by focusing on the early detection of multiple diseases. Some of its crucial components include data preparation, feature selection, model training and disease Detection. Despite advantages like early detection and cost savings, dealing with data privacy, model interpretability, and continuous improvements is essential for MDPS's ethical and efficient usage in healthcare. As a result, MDPS has a significant potential to enhance public health and minimize the difficulties associated with chronic illnesses.
The Relevance of a Globally Recognised Rights-based Approach to Environmental Protection
Authors: Man Lu
Published: September 2024

A rights-based approach is an international framework centered on the promotion and protection of human rights consistent with international human rights standards. Since the United Nations General Assembly in Stockholm in 1972 first linked human rights and environmental protection, there has been a growing tendency to include rights-based guarantees in environmental protection topics. After more than a decade of judicial practice in environmental protection, rights-based environmental litigation has become more and more evident. On this basis, a human rights-based approach has been put forward to address the issue in a way that is shared between “government” and “businesses”. The human rights-based approach is of great significance to environmental protection and sustainable environmental development, and the relationship between the two is also of value for research.
Improvement of the Carrier Delivery Rules in China's Maritime Law from an International Perspective
Authors: Liu Guiping
Published: September 2024

This paper examines the impact of carrier delivery rules on China's Maritime Law in the context of international maritime cargo transportation. It identifies significant issues such as the imbalance of interests between carriers and consignees, the challenges in carrier identification, and the inconsistencies in the duration of carrier responsibilities. Drawing on international conventions such as the Hague Rules, Hamburg Rules, and Rotterdam Rules, this study provides comprehensive recommendations for refining China's Maritime Law. Key proposals include improving the legal definitions and criteria for carrier identification, harmonizing liability periods for container and non-container cargo, and strengthening the fulfillment of carrier obligations through robust inspection and supervision mechanisms. These improvements aim to align China's Maritime Law with international standards, enhance the efficiency and reliability of maritime transport, and support the sustainable growth of China's maritime industry. The findings underscore the necessity for ongoing legal reforms to maintain China's competitive edge in global maritime trade.
Research and Application of Intelligent Pedestrian Traffic Light System
Authors: Zhang Yining
Published: September 2024

This study aims to develop an intelligent pedestrian traffic light system that utilizes artificial intelligence and visual learning technology to optimize the intelligent management of traffic lights, in order to improve traffic efficiency, reduce traffic congestion, reduce the incidence of traffic accidents, and provide people with a safer and more convenient travel environment. The research team uses high-definition cameras to capture pedestrians and vehicles in real-time, and uses computer vision technology for pedestrian and vehicle detection and feature extraction. Through age classification and feature extraction, a population transit time model was constructed, and the model was optimized to improve prediction accuracy. The model was applied to traffic management for decision-making. In addition, the research also involves traffic flow analysis and real-time adjustment mechanisms, as well as the construction and application of pedestrian and vehicle models. Discover traffic patterns through data mining techniques and develop corresponding traffic management strategies. The construction and optimization adjustments of the predictive model support the implementation of the decision control model, which is based on data-driven and algorithmic optimization. The effectiveness of the model has been verified through simulation experiments and on-site testing. Finally, machine learning was used to recognize pedestrians, vehicles, and movement directions, and deep learning was applied to construct a prediction model, achieving intelligent control of pedestrian traffic lights.
A Case Study of the Correlation Between SAT Scores and Future Incomes
Authors: Chen Suyang
Published: September 2024

With the acceleration of globalization, the role of education in economic and social development has become increasingly prominent. The SAT, as a measure of students' learning ability and potential achievement, has gained widespread attention and recognition around the world, and SAT scores, as an important indicator of students' academic performance, have a significant impact on students' future development and income levels. Previous research on the SAT has focused on factors that can influence SAT scores, such as family socioeconomic factors and high school academic performance, but there is a lack of research on whether SAT scores are effective in predicting an individual's future income level. In this paper, a correlation analysis was conducted using the questionnaire method and Pearson's coefficient, using data on the job position level and SAT scores of employees of Company A with a confidentiality agreement. The results show a significant positive correlation between SAT scores and future incomes. This finding emphasizes the importance of academic performance in high school to an individual's long-term economic prospects, enriches existing research, and provides new perspectives on return on investment analysis in higher education with theoretical implications. In addition, educational policymakers can thus focus more on improving students' SAT scores, which is of practical significance.
Network Practice of Rare Disease Bloggers and Life Narrative: Take ALS as an Example
Authors: An Jiaxin
Published: September 2024

As a healing method, narrative is widely concerned by the medical community. The characteristics of "Hyper-temporal", "sharing" and "personalized" of new media provide convenient conditions for the self-performance of rare disease groups and also encourage them to re-choose narrative content and strategies. This paper adopts in-depth interview and text analysis to analyze the network practice and narrative behavior of Amyotrophic lateral sclerosis (ALS) web celebrities. The study found that the online narrative of ALS is not only the life practice of bloggers' self-healing, self-persuasion and self-empowerment, but also their positive response to real family and social responsibilities. At the same time, the online celebrity career of rare disease bloggers reflects their life courses in a certain sense. The social media accounts of rare disease bloggers are an important carrier for them to enrich themselves and place their feelings and expectations, and the continuation of their digital life has brought new philosophical and ethical thinking.
The interplay between aging and inflammation and its role in chronic disease development
Authors: Guan Jinghao
Published: September 2024

This paper explores the complex relationship between aging and inflammation and its impact on the development of chronic diseases. Aging is an important contributor to elevated levels of inflammation, with mechanisms including changes in immune regulatory function, chronic low-grade inflammation, cellular aging and tissue damage, changes in gene expression, and increased oxidative stress. These inflammatory processes not only accelerate aging itself, but also promote the development of chronic diseases such as cardiovascular disease (CVD) and Alzheimers disease (AD). The article goes on to address other modern anti-inflammatory treatment approaches, such as biologics, JAK inhibitors, and nonsteroidal anti-inflammatory medications. These treatments help manage and mitigate aging-related pathologies by targeting key molecules and pathways of inflammation. A better comprehension of the relationship between inflammation and aging may serve as the foundation for the creation of novel therapeutic approaches that, in addition to reducing inflammatory reactions, may also prevent or slow the advancement of illnesses associated with age. This article aims to improve medical and scientific understanding of the relationship between inflammation and aging and to encourage the development and use of more potent therapies to lessen the burden of chronic illnesses and enhance the quality of life for the aged.
Pengaruh Good Governance terhadap Kualitas Laporan Keuangan dengan Kompetensi SDM sebagai Variabel Moderasi pada GKJW Rejoagung
Authors: Septa Krisanatalia  , Suwignyo Widagdo  , Mainatul Ilmi
Published: September 2024

This study aims to determine the influence of the principle of accountability, the principle of transparency, and the principle of responsibility for Good Governance on the quality of financial statements with the competence of human resources as a moderation variable in Greja Kristen Jawi Wetan Rejoagung, Semboro District, Jember. The method of data collection in this study is the distribution of questionnaires to church administrators and staff that are directly related to church finances. The population used in this study is church administrators and staff who are directly related to church finances with a population of 20 people. The sample return technique used is a saturated sampling technique. The analysis method used is moderated regression analysis (MRA). The results showed that the principle of transparency and the principle of responsibility affect the quality of financial statements while the principle of accountability does not affect the quality of financial statements. Human resource competence cannot moderate the relationship of accountability to the quality of financial statements, but human resource competence can moderate transparency and responsibility for the quality of financial statements.
Food Vlogger vs. e-WoM: Preferensi Kepercayaan Konsumen dalam Memilih Tempat Makan di Pekanbaru
Authors: Johan Faladhin
Published: September 2024

This study examines consumer trust preferences in Pekanbaru when choosing dining places, comparing the influence of reviews from food vloggers and electronic Word of Mouth (e-WoM). The study employs Consumer Behavior Theory as the theoretical framework and a descriptive qualitative approach to analyze data obtained from interviews with 20 informants. The results show that consumer trust preferences are influenced by a combination of both sources of information. Most consumers use food vlogger reviews to get an initial impression and then verify this information by reading e-WoM from other consumers. This research has implications for culinary MSMEs in Pekanbaru to utilize food vlogger reviews and e-WoM as effective marketing strategies. Transparency, honesty, and consistency in reviews are key factors in building consumer trust. Social interactions on social media significantly influence consumer purchasing decisions, especially in the culinary MSME sector. Therefore, MSMEs need to leverage these interactions to build and maintain consumer trust through word of mouth.
Difusi Inovasi dalam Film “Toilet”
Authors: Fransiska Fransiska
Published: September 2024

Sanitation is a polemic faced by developing countries. There are various reasons why sanitation is still underdeveloped in some areas such as poverty, culture, customs and others. Inability to sanitation can unknowingly result in losses for the community, losses experienced such as the emergence of diseases such as skin diseases, dirty environments and well water pollution. The purpose of this study is to illustrate that it is not easy to adopt a habit in society that is translated into an Indian film entitled "Toilet". The method used in this study is qualitative descriptive. The data collection technique uses observation by watching toilet films and determining the seconds that describe the spread of innovation absorption. The results of the study in this film illustrate that the absorption or adoption of a habit has a fairly difficult process. Where a country or region has norms that apply such as a culture that has been passed down from generation to generation, so if there is something new, it is not necessarily easily accepted by the surrounding environment. As depicted in the toilet film which explains that toilets, especially for defecating, are prohibited from being installed in the house, because ancestral teachings explain that dirty things should not be in the house, so that the activity is carried out in open fields or in fields.
Pengaruh Gaya Kepemimpinan terhadap Kinerja Tenaga Kesehatan Di Puskesmas Oesapa Kupang Tahun 2023
Authors: Kornelia Saiman  , Rina Waty Sirait  , Tadeus A.L Regaletha
Published: September 2024

Leadership style is a way or pattern of behavior applied by a leader to influence his subordinates to want to carry out the tasks that have been given. Based on an initial survey of researchers at the Oesapa Health Center, leaders rarely supervise the tasks carried out by health workers. The purpose of this study is to determine the influence of leadership style on the performance of health workers. The type of research used is quantitative research. Participants in this study were health workers at Puskemas Oesapa Kupang as many as 60 people, with the sample technique used was non-probability sampling. The data analysis used was chi square analysis and simple linear regression. The results showed that there was an influence of authoritarian leadership style on the performance of health workers at Puskesmas Oesapa Kupang seen from the linear regression equation Y = 2.606 - 0.305X and the significance value was 0.005 < 0.05. There is an influence of democratic leadership style on the performance of health workers at Puskesmas Oesapa Kupang seen from the linear regression equation Y = -1.241 + 1.121X and significance value = 0.007 < 0.05. And there is no influence of free control leadership style on the performance of health workers at the Oesapa Kupang Health Center with a significance value of 0.278 > 0.05. For the Oesapa Health Center, it is recommended that a democratic leadership style be further improved so that the performance of health workers at the Oesapa Health Center increases.
Analisis Kepuasan Konsumen Point Kupi Kabupaten Aceh Barat
Authors: Aulia Muhammad Reza , Harinal Harinal , Ananda Fadilah Nazmi , Dalimunthe Wahyulita , FZ Malika Rahmah , Murnisyati Murnisyati
Published: September 2024

Demonstrating customer satisfaction is important for marketers because it is often considered a fairly important determinant of repeat purchases. This study aims to analyze consumer satisfaction with services and products at Point Kopi. A survey method was used with a structured questionnaire to collect data from respondents. Statistical analysis will be conducted to evaluate consumer perceptions of service quality, products, and other factors that may affect satisfaction levels. Based on the results of the Customer Satisfaction Index (CSI) analysis, it produces a value of 84.55% which indicates that overall consumers are very satisfied with Point Kupi. This shows that Point Kupi's performance is in accordance with consumer expectations.
Peran Pemuda dalam Pengembangan Pariwisata di Kabupaten Enrekang
Authors: Naharia Naharia , Baharuddin Baharuddin , AS Arif Efendi
Published: September 2024

Pariwisata telah menjadi sektor strategis yang dapat menggerakkan pertumbuhan ekonomi daerah, termasuk Kabupaten Enrekang yang memiliki potensi wisata alam dan budaya yang melimpah. Namun, pengembangan pariwisata di Enrekang masih menghadapi kendala, terutama dalam pemanfaatan lahan oleh masyarakat yang sebagian besar adalah petani. Pemuda memiliki peran penting sebagai agen perubahan dalam mengembangkan pariwisata melalui kreativitas, inovasi, dan pemanfaatan teknologi digital. Mereka dapat mempromosikan destinasi wisata menggunakan media sosial dan aplikasi pariwisata, serta mengelola infrastruktur wisata yang ramah lingkungan. Inovasi dalam pengembangan atraksi wisata berbasis teknologi, produk wisata berbasis budaya, dan fasilitas wisata unik dapat meningkatkan daya tarik wisata Kabupaten Enrekang. Selain itu, program wisata edukatif yang mengajarkan keterampilan lokal dapat memberikan pengalaman yang bermakna bagi wisatawan. Kolaborasi antara pemerintah, masyarakat, dan pemuda diperlukan untuk mengoptimalkan pengembangan pariwisata. Pemberdayaan pemuda melalui pelatihan dan pendidikan, serta peningkatan komunikasi dan kerjasama dengan masyarakat, dapat membantu mewujudkan pengembangan pariwisata yang berkelanjutan. Dengan demikian, pariwisata dapat menjadi sektor andalan yang mendukung pertumbuhan ekonomi dan kesejahteraan masyarakat Kabupaten Enrekang, serta menjaga kelestarian lingkungan dan budaya lokal.
Peran Ma’had Al-Zaytun dalam Mewujudkan Poros Maritim Dunia Perspektif Peraturan Presiden Nomor 34 Tahun 2022 dan Fiqh Siyasah
Authors: Iwan Iwan , Rahim Abdur , Rohmah Siti Ngainnur
Published: September 2024

Tujuan dari penelitian ini adalah untuk mengetahui Peran Ma’had Al-Zaytun dalam mewujudkan poros maritim dunia perspektif Peraturan Presiden Nomor 34 Tahun 2022 dan Fiqh Siyasah. Metode penelitian ini menggunakan pendekatan penelitian hukum yang dilakukan secara yuridis normatif. Sumber data yang digunakan adalah Sumber data primer yaitu Peraturan Presiden Nomor 34 Tahun 2022, buku Fiqh Siyasah dan sumber data sekunder yaitu, buku, jurnal, dokumen, peraturan perundangan, dan sebagainya. Hasil penelitian menunjukan bahwa Peran Ma’had Al-Zaytun dalam mewujudkan poros maritim dunia berdasarkan Peraturan Presiden Nomor 34 Tahun 2022 yaitu secara aktif mengintegrasikan kurikulum maritim, mengembangkan keterampilan siswa dalam teknologi maritim, serta berkolaborasi dengan pemerintah untuk implementasi program-program yang berkelanjutan dalam sektor maritim. Peran Ma’had Al-Zaytun dalam mewujudkan poros maritim dunia berdasarkan Fiqh Siyasah adalah sesuai dengan Fiqh Siyasah terkait Hifz Nafs dan Hifz Maal. Ma’had Al-Zaytun memiliki peran penting dalam mewujudkan poros maritim dunia sesuai dengan perspektif Fiqh Siyasah dalam klasifikasi Hifz Maal (perlindungan harta) dan Hifz Nafs (perlindungan jiwa). Ma’had Al-Zaytun, sebagai lembaga pendidikan Islam, berperan dalam mencetak generasi yang tidak hanya unggul dalam ilmu pengetahuan dan teknologi maritim, tetapi juga memiliki kesadaran akan pentingnya menjaga dan melestarikan kekayaan laut sebagai amanah dari Allah.
Pengembangan Buku Program Kemitraan Orang Tua (BUPATA) Menuju PAUD Berkualitas di PAUD Ar Rayyan Parung Bogor
Authors: Anita Anita , Priyanti Nita
Published: September 2024

Penelitian ini bertujuan untuk mengembangkan buku program kemitraan orang tua (BUPATA) sebagai media program kemitraan orang tua dengan satuan pendidikan dalam rangka memberikan layanan PAUD berkualitas berbasis kemitraan. Penelitian ini menggunakan metode penelitian dan pengembangan (reseach and development) dengan model dikemukakan oleh Thiagarajan yaitu 4D (define, design, development, disseminate) dan dilakukan dalam satu kali uji coba, yaitu uji coba lapangan skala kecil. Subjek penelitian ini adalah perwakilan orang tua dan guru PAUD Ar Rayyan Parung Bogor berjumlah 9 orang. Kelayakan BUPATA didasarkan pada hasil validasi oleh dua ahli media, dua ahli materi, perwakilan guru dan perwakilan orang tua. Data dikumpulkan dengan dengan menggunakan instrument berupa observasi, wawancara, dan angket. Analisa data yang digunakan adalah analisa data kualitatif dan analisa data kuantitatif. Hasil penelitian menunjukkan bahwa BUPATA yang dikembangkan setelah serangkaian validasi dan uji coba  dinilai sangat baik. Hal ini didukung oleh penilaian ahli media mendapatkan skor 87% dan 87% dengan kategori sangat baik, penilaian ahli materi dengan skor 94% dan 91% dengan kategori baik sekali dan penilaian perwakilan orang tua dan guru dengan skor 100% dan 94% dengan kategori sangat baik. Uji skala kecil mendapatkan kategori sangat baik. Hasil uji respon orang tua dan guru terhadap BUPATA adalah 86%-100%. Jadi dapat disimpulkan bahwa BUPATA “Sangat Baik” dan kriteria kelayakannya “Layak” digunakan dalam peningkatan PAUD berkualitas berbasis kemitraan di PAUD Ar Rayyan Kecamatan Parung Kabupaten Bogor.
Prevention and detection of anastomotic failure in gastrointestinal surgery
Authors:   , Bootsma Boukje Titia
Published: September 2024

Despite advances in surgical techniques and perioperative care, morbidity and mortality
rates following anastomotic leakage after gastrointestinal surgery remain high. This
thesis addressed the prevention and detection of anastomotic leakage from different
gastrointestinal perspectives.
Social Dynamics of Cooperation
Authors:   , Schröder Joris Melchior
Published: September 2024

This dissertation focusses on the question how social mechanisms, such as social contagion, communication, and group formation, affect blood donation behaviour. Blood donations enable transfusions, many routine medical treatments, and the production of plasma-derived medicinal products. At the same time, they are a textbook example of real-world cooperation, where individuals make costly contributions to a public good. In four empirical chapters studying blood donation in the Netherlands and Australia, this thesis shows that a) heterogeneity in blood donor motivation can be mapped into four donor types, which are associated with blood donor background characteristics and long-term donor lapse, b) there is social contagion in blood donation, such that blood donors increase or decrease their donations in line with the donations made by other donors within their neighbourhood and especially their partners, c) talking about donations but not recruitment via word of mouth predicts compliance with solicitations for donations that are sent out by the blood bank, and d) the formation of identity-based groups among donors is highly effective for increasing donation frequency. The main contribution of this thesis to the literature is to link the largely individual-centred blood donation literature with the experimental literature on social mechanisms that sustain cooperation, and to empirically demonstrate the benefits of this perspective for understanding blood donation behaviour and blood banking practice.
LLM for Differentiable Soft Robotic Vision Objects Manipulation
Authors: Lin Zheng , Tan Chaoyi , Chen Junhong , Wei Tianyuan , Zhang Yiqian
Published: September 2024

Most existing neural soft object manipulation systems rely on differentiable simu- lation as the default physics engine. However, current explicit differentiable sim- ulation solvers adopt a heuristic searching approach to manipulate the soft body, which easily gets stuck when the initial stage of the end effectors is sub-optimal on single-stage tasks or when performing multi-stage tasks that require complex hi- erarchical actions, which often leads to local-minima. Furthermore, existing deep soft object manipulation systems never consider the soft multi-body dynamics and model the dynamic system with naive explicit visual cues (e.g., image frame). To address this challenge, we propose an implicit, i.e., with energy-based models, soft objects manipulation differentiable simulator (iDSoftor) that guides the dif- ferentiable physics solver to deform the various soft object. The key idea of our work is to integrate energy-based models into the soft-object differentiable simu- lation to address the local minima in common explicit (heuristic transport-based) methods to stabilize the gradient of training differentiable simulators. On simple tasks, such as one-stage tasks, our proposed method can feasibly find a suitable initial stage based on theoretical arguments, refer to. On complex multi-stage tasks with multimodal, like implicit visual cues states, our proposed methods can iteratively adjust the manipulation trajec- tory from the perspective of energy priorities. To evaluate the feasibility of our proposed method, we formulate various potential novel soft-object manipulation tasks and demonstrate a preliminary story.
Analisis Kekuatan Tarik dan Lentur Komposit Epoxy yang Diperkuat Serat Hybrid Sisal-Carbon Fiber
Authors: Banowati Lies , Ghani Ruslan Abdul , Rianto Ridwan
Published: September 2024

Serat sisal (Agave Sisalana) merupakan serat alam yang memiliki potensi baik karena dapat dibudidayakan dengan mudah dan murah sehingga ketersediaannya bisa berkelanjutan. Pada awalnya, penggunaan serat sisal terbatas hanya untuk tali-temali, kemudian berkembang sebagai bahan dasar pembuatan kertas dan interior mobil (dash board). Serat sisal memiliki densitas yang rendah, kekuatan dan modulus yang tinggi, sehingga belakangan ini serat sisal banyak dikembangkan sebagai penyusun komposit. dalam penelitian ini serat sisal digabungkan (hybrid) dengan serat carbon, diharapkan sifat mekaniknya menjadi lebih baik. Tujuan dari penelitian ini untuk mengetahui kekuatan tarik dan kekuatan lentur komposit berpenguat hybrid sisal - carbon fiber dengan variasi orientasi arah serat 0°, 0°/90°, dan ±45°. Serat sisal mengalami perlakuan dalam larutan alkali 5% NaOH selama 2 jam. Matriks yang digunakan adalah epoxy. Komposit dibuat dengan teknik hand lay-up dan vaccum bagging. Spesimen uji tarik dibuat berdasarkan ASTM D 3039/ D 3039M, dan uji lentur mengacu pada standar ASTM D 7264/ D 7264M. Berdasarkan hasil pengujian didapatkan nilai kekuatan tarik tertinggi pada arah orientasi serat 0° dengan rata-rata kekuatan tarik sebesar 240.83 MPa, sedangkan kekuatan tarik terendah pada arah orientasi serat ±45° dengan rata-rata kekuatan