bluuebunny/crossref_metadata_2025 huggingface dataset:
De l’universalisme culturel dans l’histoire philosophique de Hegel au dialogue des cultures
Authors: SAMBA Moussa
Published: November 2024

Abstract. This article aims to examine the depths of Hegel's philosophy of history with
the aim of seeing how his conception of the universal is deployed there. With the metaphor
of the sun and that of the child, he shows us how the global spirit is gradually formed, from
sunrise to sunset, from childhood to adulthood. At the end of the day or at the age of maturity,
the true nature of the mind is revealed, that is to say fundamentally free and ethical. This
moment which emerged with the French Revolution only completed a process which began
in China, India and Persia, before spreading to Greece and Rome to reach maturity with the
Germanic world. These are the ideas of freedom, equality and fraternity that have become
concrete and must therefore be universalized. This will justify from the 16th century
(discoveries and invention) the European desire to conquer the world. In other words, the
idea of progress in Hegel, just as in Marx, does not contradict cultural universalism.
Moreover, colonization sought to universalize a civilization not without difficulty since
cultural relativism stood as a bulwark against the standardization of the world by valuing the
specificities of each people. This fight for the recognition of cultural diversity, through the
rejection that can result from it, has at times constituted a real threat against the unity of
humankind. The solution seems to be found with dialogue between peoples and allows the
flourishing of human rights all around the planet with the circulation of information, travel,
the development of commercial exchanges, mixed marriages, etc.
Mots-clés : Hegel, histoire philosophique, universalisme culturel, relativisme culturel,
dialogue des cultures.
Keywords: Hegel, philosophical history, cultural universalism, cultural relativism, dialogue
of cultures.
Le partenariat UNESCO-Burkina Faso pour la sauvegarde du patrimoine culturel immatériel
Authors: KIENDREBEOGO Dr. Salif
Published: November 2024

Résumé
La préservation et la valorisation du patrimoine culturel ont toujours occupé une place
prépondérante dans les conventions internationales surtout celles de l’UNESCO. Ces
conventions portent sur la protection des biens culturels en cas de conflit armé (1954), la
Convention de 1972 portant protection du patrimoine mondial culturel et naturel, sur le
patrimoine immatériel (2003), sur la diversité culturelle (2005). L’UNESCO a toujours encouragé
les pays membres à ratifier et à mettre en œuvre ces conventions au niveau national. Ainsi le
Burkina Faso, à l’instar des autres pays de la sous-région, a pris l’engagement au côté de
l’UNESCO d’œuvrer à la sauvegarde et à la valorisation de son patrimoine matériel et immatériel.
Pour ce faire, plusieurs actions ont été menées dont la mise en place du Système des trésors
humains vivants et les inventaires du patrimoine culturel matériel et immatériel. L’inventaire du
patrimoine culturel immatériel s’est réalisé à travers un partenariat UNESCO-Burkina Faso sous
forme de projet intitulé « Inventaire et promotion du patrimoine culturel immatériel au Burkina Faso ». Le
projet mis en œuvre par le ministère de la Culture, des Arts et du Tourisme (MCAT) est financé
par le fonds de sauvegarde du patrimoine culturel immatériel (PCI) de l’UNESCO et le budget de
l’État burkinabé. L’objet de cette contribution est d’analyser l’impact de l’inventaire des éléments
du PCI sur la sauvegarde du patrimoine immatériel au Burkina Faso en faisant ressortir la portée
et les limites du projet.
Mots clés : Patrimoine immatériel / Culture / Partenariat / Sauvegarde
Exploring Demotivating Factors at Different Stages of Learning Chinese as a Second Language: A Case Study of European Adult Learners
Authors: Xu Zihan
Published: November 2024

Demotivation has emerged as a significant issue in second language learning, leading learners to pause, slow down, or even abandon their studies. In L2 Chinese education, numerous empirical studies have focused on motivating factors, but few have explored demotivation, particularly among informal adult learners. Despite that their motivational changes could offer valuable insights into language education, this group has not received sufficient attention from researchers. Drawing on Van den Branden’s (2022) integrated language learning motivation model, this study reports a qualitative analysis of demotivating factors based on interviews with three European adult Chinese learners at primary, intermediate, and advanced levels. The findings reveal that dominant demotivating factors varied across different stages of learning, and the impact of co-existing demotivating factors shifted throughout the process. Demotivating factors emerged intensively in the stage when L2 Chinese learners mastered the basics and began applying the language in real-life contexts. When these negative factors were not addressed in a timely manner, they significantly diminished motivation; conversely, timely intervention mitigated their impact. The study also found that demotivating factors often originate from the negative development of motivating factors, with negative perceptions of success and value being the most influential. However, these factors do not necessarily lead to demotivation or abandonment of learning. Finally, a revised multi-level language learning motivation model is proposed, positioning demotivation and motivation on a continuum.
Gamification For Digital Marketing: A Bibliometric Analysis and Theories, Contexts, Characteristics and Methodologies Analysis
Authors: Meylina Amelia , . Amron , Pakarti Piji
Published: November 2024

The objectives of this review are twofold. Firstly, it aims to provide a comprehensive overview of the emerging field of gamification in digital marketing, synthesizing existing knowledge in a structured manner. Secondly, it offers valuable insights that will guide future research specifically related to digital marketing. This study presents bibliometric and TCCM analyses. The review analyzed 110 articles on digital marketing, with data sourced from the Scopus scientific database.  The literature review revealed a need for continued research on the use of gamification in digital marketing, particularly for small and medium-sized businesses that are not yet widely familiar with this approach. The TCCM analysis highlighted key theories and methodological approaches used in the published articles, with a notable emphasis on quantitative methods and primary data collected through online surveys. Additionally, the review provides future research directions to advance scientific knowledge and contextual relevance, and it supports strategic decision-making.
Consumer Propensity to Use Ai Chatbot in Purchase Decision Making from The Perspective of Valence Framework: The Role of Openness to Change and Compatibility
Authors: Utama Yonardo Adiwira , Nurtantio Pulung , Wismantoro Yohan
Published: November 2024

This research investigates consumers' inclination to utilize AI Chatbots for purchase decisions, employing the valence framework and examining the roles of Openness to Change and Compatibility. The study surveyed 320 chatbot users in the Sumbawa District. Findings reveal that Openness to Change significantly influences chatbot users' purchasing decisions within the valence framework context, encompassing both Perceived Benefit and Perceived Risk. This highlights the crucial role of Openness to Change in understanding consumer behavior, as it can substantially impact decisions regarding chatbot usage when considering perceived benefits and risks. The research also confirms the positive effects of chatbot utilization. By incorporating Openness to Change and Compatibility, the study offers a novel perspective on chatbot usage in purchasing decisions. This approach distinguishes the research, as it applies the valence framework (Perceived Benefit and Perceived Risk) to chatbot usage while introducing the additional dimensions of Openness to Change and Compatibility.
Inovasi Jelly Buah Menjadi Fruit Jelly Ball untuk Meningkatkan Pendapatan Ibu Rumah Tangga
Authors: Mustari  Mustari  , Nur Arisah  , Nurjannah Nurjannah  , Sitti Hajerah Hasyim  , Nahriana Nahriana
Published: November 2024

Salah satu kegiatan yang dapat menambah pendapatan ibu-ibu rumah tangga adalah usaha  home  industri  atau  biasa  disebut  usaha  rumahan  pada  pembuatan Fruit Jelly Ball. Proyek pembuatan produk jelly buah menggunakan bahan baku berupa buah-buahan yang dapat diperoleh dari petani lokal. Produk ini dapat menjadi produk fungsional yang berfungsi sebagai pelepas dahaga sekaligus pengganjal perut ketika lapar dan mempunyai potensi pasar yang besar untuk dikembangkan karena saat ini di kota-kota besar terjadi perpindahan pola konsumsi pangan yang cenderung ke arah pola konsumsi instan atau cepat saji. Maka dari itu, perlu diciptakannya produk kekinian yang lebih kreatif untuk meningkatkan harga jual pada jelly buah salah satunya dengan dilakukannya pengolahan jelly buah dengan berbahan baku buah -buahan asli dan berkualitas. Jelly buah memiliki potensi pasar yang luas karena dapat dinikmati oleh semua kalangan usia. Permintaan yang tinggi akan produk ini dapat memberikan manfaat ekonomi bagi masyarakat. Metode yang digunakan dalam kegiatan ini meliputi ceramah, tanya jawab atau diskusi, dan pelatihan. Adapun hasil yang didapatkan yaitu (1) Pelatihan pembuatan Fruit Jelly Ball direspon dengan baik oleh peserta; (2) Minat  dan  motivasi  yang  tinggi  dari  peserta pelatihan  sangat  menunjang transfer ilmu pengetahuan dan keterampilan dari pengabdi kepada peserta  pelatihan,  sehingga  materi pelatihan yang diberikan dapat terserap semua; dan (3) Produk pelatihan  pembuatan Fruit Jelly Ball dapat dikonsumsi sehari-hari dan dapat dijadikan  sebagai  produk  berwirausaha.
PKM Kewirausahaan Pembuatan Kerajinan Tangan Bunga Rajut
Authors: Pahrul Pahrul  , Hasbi  Hasbi  , Ika Wisudawaty  , Muh. Rizah Putrawan  , Mohamad Ikbal Riski A. Danial
Published: November 2024

Knitted flowers are a beautiful result of creativity and the skill of one's hands. Making knitted flowers can be a relaxing and creative activity option. Knitted flowers can be done using knitting techniques ranging from easy techniques to quite complex techniques, then producing beautiful accessories such as a series of knitted flowers that stand out with the characteristic knitted flowers that are woven in detail. Apart from that, knitted flower bouquets can also be made using the crochet technique which creates a flower bouquet that is not only attractive from an aesthetic perspective, but also lasts longer than real flowers. These knitted flowers are also often the focus of attention at various special and special events, and can be used as a unique and memorable gift for friends, relatives, co-workers or loved ones.
PKM Kewirausahaan Pengolahan Ubi Kayu Menjadi Keripik Singkong
Authors: Ika Wisudawaty  , Hasbi  Hasbi  , Mahmuddin Mahmuddin  , Muh. Rizah Putrawan  , Fitrah Widya Wati
Published: November 2024

Cassava is a food crop that has many advantages and can be an added value to increase the durability of cassava so that it is suitable for consumption and by utilizing cassava it obtains a high selling value on the market. Added value is the addition of value to a product before the production process is carried out and after the production process is carried out. Processing cassava into cassava chips is to increase the durability of the cassava so that it is suitable for consumption and to utilize the cassava to obtain a high selling value for marketing. Cassava chips are a snack product that many consumers like. The crunchy taste and cheap price offered make this product a suitable alternative to accompany relaxing time with family, co-workers, friends, and so on. Even though cassava has many advantages, including its ability to grow in difficult conditions, the price of cassava in Indonesia is still low compared to other staple crops. Therefore, innovation is needed to increase the selling value of cassava. One way to add value is to process cassava into cassava chips, which is a popular snack among people, especially teenagers. Cassava chips have a distinctive and crunchy taste, and the processing process provides added value to cassava
AI-Powered HRM and Finance Information Systems for Workforce Optimization and Employee Engagement
Authors: Devaraju Sudheer
Published: November 2024

This comprehensive analysis examines the implementation and impact of AI-powered Human Resource Management (HRM) and Finance Information Systems in government organizations, focusing on workforce optimization and employee engagement. The study, drawing from extensive research across multiple public sector entities, reveals that organizations implementing these systems achieve significant improvements in operational efficiency, with processing times reduced by 47.2% and budgetary allocation accuracy increased by 31.4%. Through analysis of implementation data from 156 federal agencies, the research demonstrates how AI-driven solutions address key challenges in regulatory compliance, budget constraints, and operational transparency. The investigation encompasses four core functional areas: intelligent recruitment, workforce planning, employee experience enhancement, and financial management integration, supported by machine learning algorithms and cloud infrastructure. The results show significant progress in every area, including a noteworthy 56.8% decrease in hiring bias, a 41.3% increase in staff retention, and an 82.6% accuracy rate in document classification.
Architecting Scalable LLM-Powered Employee Engagement Systems: A Multi-Modal Framework for Enterprise HRIS Integration and Longitudinal Efficacy Analysis
Authors: Devaraju Sudheer
Published: November 2024

This article provides a comprehensive technique for incorporating Large Language Models (LLMs) into corporate employee engagement platforms, with an emphasis on technical design, implementation challenges, and longitudinal effect analysis. We examine sophisticated fine-tuning methods, such as bias mitigation strategies and privacy-preserving approaches, using proprietary HR datasets. The report emphasizes significant improvements in operational efficiency, with AI-powered HR solutions showing a 32% improvement in process optimization and 91.2% accuracy in employee feedback analysis across many languages. To address significant concerns about data privacy, scalability, and long-term efficacy, our system employs a multi-layered approach that incorporates federated learning implementations, differential privacy techniques, and robust security mechanisms. The implementation outcomes show notable benefits, including a 34% rise in employee satisfaction metrics and a 41% reduction in time-toinsight for HR analytics, while closely conforming to GDPR and CCPA laws.
Anti-Soviet Resistance in Klaipėda Territory in 1945–1953
Authors: Pušinskytė Lijana
Published: November 2024

The paper gives an analysis of the problem of anti- Soviet resistance in the Klaipėda Territory and the city of Klaipėda which lacked separate attention of historiography so far. The purpose is to discuss anti-Soviet resistance in the Klaipėda Territory and the city of Klaipėda in 1945–1953. Conditions that predetermined the formation of anti- Soviet resistance in the Klaipėda Territory and the city of Klaipėda as well as the specificity of partisan resistance in the Klaipėda Territory are underlined.
During World War II, the city of Klaipėda suffered enormous losses and was left almost without the inhabitants. After the war, conditions for the emergence of anti-Soviet resistance in the Klaipėda Territory were not favourable. Since people with different national, ideological and religious views moved here, their relations were quite complicated. This predetermined the fact that in the Klaipėda Territory in 1945 a large, active and united resistance movement against the Soviet regime did not rise.
A conflict between the population and Soviet authorities (i.e. a partisan war) in Greater Lithuania was transferred in the essence to the plane of the relations between the new settlers and repatriants. This makes it possible to speak about the possible specific conditions of anti-Soviet resistance in the Klaipėda Territory in the context of the territory of Lithuania and about the specificity of anti-Soviet resistance itself.
Research revealed that in the Klaipėda Territory in 1948–1953 two partisan squads – “Geležinis vilkas“ and “Rambynas” (“Pilis”) were active. They fought in the Darius district of Butageidis brigade of Kęstutis command (Klaipėda and Šilutė counties).
Archival sources show that pre-war Klaipėda Territory residents and persons of German nationality joined the partisan squads that operated in the Klaipėda Territory outskirts.
Pengaruh Posisi Pronasi Terhadap Saturasi Oksigen Pada Bayi BBLR yang Terpasang CPAP di Ruang NICU RSUD Sekarwangi
Authors: Nuriana Dina Siti
Published: November 2024

Pendahuluan: Bayi berat badan lahir rendah (BBLR) yang dilahirkan dengan distress pernapasan dibutuhkan alat bantu pendukung pernapasan dengan Continous Positive Airway Preasure (CPAP) dan tamabahan intervensi pendukung untuk meningkatkan saturasi oksigen yaitu posisi pronasi. Tujuan penelitian ini adalah untuk mengetahui pengaruh posisi pronasi terhadap saturasi oksigen pada bayi BBLR yang terpasang CPAP.
Metode: Jenis Penelitian yang digunakan adalah quasi experiment dengan pendekatan pre-test and post test control group design. Populasi adalah seluruh Bayi Berat Badan Lahir Rendah (BBLR) di Ruang NICU RSUD Sekarwangi sebanyak 107 responden dengan sampel 34 responden terbagi ke dalam kelompok kontrol dan intervensi masing-masing 17 responden menggunakan teknik consecutive sampling. Analisis data menggunakan uji paired sampel t-test dan uji independent sampel t-test.
Hasil: Berdasarkan hasil uji paired sampel t-test terdapat pengaruh posisi pronasi terhadap saturasi oksigen pada kelompok intervensi (p=0,000). Hasil uji independent sampel t-test menunjukan terdapat perbedaan saturasi oksigen pada kelompok kontrol dan kelompok intervensi (p=0,000).
Kesimpulan: Terdapat pengaruh posisi pronasi terhadap saturasi oksigen pada kelompok intervensi dan terdapat perbedaan saturasi oksigen pada kelompok kontrol dan kelompok intervensi pada bayi BBLR yang terpasang CPAP di Ruang NICU RSUD Sekrawangi.
Blockchain and IoT Integration for Secure Supply Chain Operations: Unlocking Real-Time Transparency and Business Continuity
Authors: - MD SHEAM ARAFAT , - Junaid Baig Mirza , - MD Anwarul Matin Jony , - RASHEDUL ISLAM , - S M Shahariar Rafi , - Muhammad Saqib Jalil , - Foysal Hossen
Published: November 2024

This paper presents an analysis of the ways in which Blockchain and Internet of Things (IoT) systems can be combined for the betterment of supply chain management as well as a discussion of the increased security, transparency and/or continuity of business that may result from such an integration. In the current world where the global supply chains are continuing to expand and integrate, it has been noted that there is need to protect real time information flows and enhance the integrity and traceability of information. Using Blockchain’s decentralized and immutable structure together with IoT’s data-collection aspect, this research explores ways in which supply chain processes could benefit from these technologies while minimizing the risks posed by data theft, forgery, and disruptions. The research employs published data analysis and a case study, encompassing cross-industry benchmarks, research, and empirical evaluation of Blockchain-IoT applications in industries. Survey data was obtained from recent implementations in industries including pharmaceutical, F&B and logistics. Quantitative tools and techniques were applied to evaluate the integrity and the reliability of Blockchain-IoT systems operations. Some insights discovered reveals that the integration between Blockchain and IoT fosters better real-time monitoring, minimizes counterfeiting and promotes better traceability of an average of 40% based on observed instances. Literature is advanced in this paper by presenting grounded data on Blockchain and IoT’s ability to maintain enduring and reliable supply chain security. The research implies that when the technologies are well deployed, they act as a key driver in facilitating secure and efficient supply chain. The presented research provides guidance on the adaptation of Blockchain and IoT to enhance the stability of the supply chain; it maps a tactical plan that industry participants can follow to achieve sustainable, secure supply chain operations.
AI-Powered Cybersecurity in Financial Institutions: Enhancing Resilience Against Emerging Digital Threats
Authors: - MD Anwarul Matin Jony , - MD SHEAM ARAFAT , - RASHEDUL ISLAM , - S M Shahariar Rafi , - Muhammad Saqib Jalil , - Foysal Hossen
Published: November 2024

It is evident that the world of Financial Technology is evolving rapidly, as financial institutions are regularly faced with an escalating threat from increasingly sophisticated cyber-attacks, which artificial intelligence (AI) can help transform the approach to create a much more resilient cybersecurity. In this paper, we study the effectiveness in building robust digital defenses in the financial sector through the usage of AI driven methodologies toward threat detection, incident response, and the ability to do a quick mitigation. This study synthesizes recent manifestations of AI as applied to the financial institutions industry using a rigorous datacentric methodology, evaluating AI applications, including machine learning based anomaly detection, predictive analytics, and automated threat intelligence. Research conducted by Soni et al. (2022) indicates that such AI enhanced cybersecurity can cut the time to react to security incident in more than 40 percent (Soni, 2022), while machine learning algorithms-based systems that been used in high risk environment has made their detection rate as high as 92 percent (Jiang & Yin, 2023). The findings show that AI Powered models enormously reduce risk and improve real time monitoring, while incident response framework is strengthened. In terms of implications for financial sector stakeholders and policymakers, this study’s addition offers crucial insights for an AI–enabled resilient digital infrastructure. We come to a novel conclusion regarding the role of AI in cyber security and propose a set of useful guidelines for financial institutions on how to strengthen security in the face of a changing threat environment.
Decentralized Energy Systems and the Circular Economy: Business Models for Sustainable Energy Transitions
Authors: - Foysal Hossen , - MD SHEAM ARAFAT , - RASHEDUL ISLAM , - S M Shahariar Rafi , - Muhammad Saqib Jalil , - MD Anwarul Matin Jony
Published: November 2024

To address current rising northern environmental concerns, and a remarkable increase in energy demand, this research aims to investigate the feasibility of implementing both decentralized energy systems and circular economy approach for successful sustainable energy transformations. As a general goal of this research, the aim is to compare different business models of agent-based decentralized energy production according to circular economy principles of efficiency, waste reduction, and secure sources of supply chains. It adopted both quantitative treatment of energy data pertaining to decentralized systems in European and Asian countries and qualitative findings generated from industry case studies. The study shows that business models include energy as a service and community power which plays an important role in energy saving resulting in operational efficiency after the application of the analyzed models leading to a decrease in energy losses ranging between 1530%. The major contribution of this study is to provide an integrative framework that not only emphasises the possibility of decentralised scenarios but also reveals how they can contribute to circular economy aims such as resource circulation and low carbon. Based on the findings of this study, there are insights drawn that speaker to policymakers, business strategists, and environmental organizations as these details a coherent explanation of models of sustainable energy as well as coming up with practical models that can be adopted in largescale manner. The approach of this research within its quantitative and practical methodologies provides valuable insights to inform the analysis of decentralised energy as it contributes to international agenda towards sustainability.
Machine Learning in Financial Fraud Detection: New Models for Predictive Analysis and Mitigating Business Risks
Authors: - S M Shahariar Rafi , - MD SHEAM ARAFAT , - RASHEDUL ISLAM , - Muhammad Saqib Jalil , - MD Anwarul Matin Jony , - Foysal Hossen
Published: November 2024

Abstract This research investigates how machine learning (ML) algorithms can be applied to financial fraud detection as a way to improve predictive analysis and reduce business risk of fraudulent activities. Financial fraud is a major threat according to Association of Certified Fraud Examiners (2023) which may cost corporations and consumers more than $5 trillion. Many traditional fraud detection systems have relied on rule-based methods which can be restricted with predefined criteria and not able to adapt to evolving fraud patterns. For this research, we use advanced ML models such as Random Forest, Gradient Boosting, Neural Networks which are trained to analyze the large datasets for anomaly detection and to measure the predictive accuracy with real time analysis. In achieving such rates and with the objectives of accuracy, precision and recall met, we employ a dataset of over 1 million financial transactions from verified sources and apply algorithms which we then evaluate against the metrics. Most notably, we show that ML driven models integrate with conventional methods to reduce false positives by 30%, leading to operational efficiency and cost savings. In addition to providing academic knowledge by validating the robustness of ML techniques, this study provides actionable insights for financial institutions which are looking to implement scalable, data driven fraud prevention system. Through addressing technical and operation challenges, our research demonstrates the practicality of applying ML in lowering financial risk.
AI and Digital Twins in Healthcare: Revolutionizing Remote Patient Monitoring and Precision Medicine
Authors: - Muhammad Saqib Jalil , - MD SHEAM ARAFAT , - RASHEDUL ISLAM , - S M Shahariar Rafi , - MD Anwarul Matin Jony , - Foysal Hossen
Published: November 2024

Pairing artificial intelligence (AI) with digital twin technology is transforming healthcare by providing real time remote patient monitoring and pushing precision medicine forward. In this study we explore the potential of AI driven digital twins to improve patient outcomes, reduce costs and increase efficiency in healthcare. To accomplish this, the research focuses on developing AI algorithms to monitor and predict patient health remotely, which tackles those major challenges to be able to intervene in time and provide individualized care. The paper accounts for current knowledge of AI using a data driven approach by reviewing existing literature and recent developments and through case studies of practical applications of AI in patient management. Data analysis techniques were then methodologically combined with ethical considerations of using patient data in order to obtain accurate and private patient data. This key finding shows that with the combination of predictive AI algorithms and digital twins of the patient, diagnostic power can be improved and treatments personalised – to the benefit of the patient. This research is novel for its outlook on how AI can contribute to the building of such responsive, real time digital twins for healthcare. Based on the study’s implications, the adoption of digital twin technology together with AI holds promise to redesign the future of healthcare where diagnostic accuracy is enhanced and healthcare facilities are rendered a lighter burden. These insights are vital for doctors, policy makers and researchers working towards a leading role for AI in patient centric care models.
Research on the Current State of Digital Transformation to Develop Smart Agriculture in Hanoi City
Authors: Minh Huong Nguyen Vu
Published: November 2024

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Assessment of Diarrhea Disease and its Determinants among Children under Five Years in Selected Nursery Schools in Karu, Abuja
Authors: Gwendolyn Ekele Onyeforo , Rukayat Olayinka Sulyman , Shamsiya Ibrahim , Grace Awawu Saba , Amos Nworie
Published: November 2024

Diarrhea disease is a leading cause of death among children under the age of five worldwide, ranking as one of the six causes of death. The pathogens that cause diarrhea are typically transmitted through the fecal-oral route, which includes consuming contaminated food, fluid, or coming into direct contact with infected stool. Ingestion of contaminated water is a means of transmission of diarrhea-causing pathogens. The study assessed diarrhea disease and its determinants among children under five years old in selected nursery schools in Karu, Abuja. An assessment of the disease and variables was carried out using a questionnaire in a descriptive research design. A total of 400 respondents were used for the study. Data collected were analyzed using the statistical package for social science software (SPSS 23.0) version. The results were presented using frequency tables. Inferential statistics such as the Chi-square were used to compare relationships between variables; significance was taken at the 0.05 level. The study revealed that a child's age had no significant effect on diarrhea disease. However, handwashing after using the toilet, education level of parents (caregivers), and source of water had a significant effect on diarrhea disease among children under five years old in selected Nursery schools in Karu, Abuja. There is a need to implement educational programs to enhance the knowledge of diarrhea disease, which has been identified as a critical factor influencing health. Additionally, the government should provide clean water for consumption and ensure adherence to sanitation practices among the populace.
CURRENT STATE OF INVASIVE ASCLEPIAS SYRIACA IN ROMANIA: MORPHOLOGICAL AND ANATOMICAL INSIGHTS
Authors:   University of Agronomic Sciences and Veterinary Medicine of Bucharest, 59 Mărăşti Blvd, District 1, Bucharest, Romania, MIHAI Daniela Clara MIHAI Daniela Clara Clara ,   University of Bucharest, Faculty of Biology, 1-3 Portocalelor Street, District 6, Bucharest, Romania, CÎŞLARIU Alina Georgiana ,   University of Bucharest, Faculty of Biology, 1-3 Portocalelor Street, District 6, Bucharest, Romania, DUMITRAŞCU Mioara ,   University of Bucharest, Faculty of Biology, 1-3 Portocalelor Street, District 6, Bucharest, Romania, GEORGESCU Mihaela Ioana ,   University of Agronomic Sciences and Veterinary Medicine of Bucharest, 59 Mărăşti Blvd, District 1, Bucharest, Romania, TOMA Florin ,   University of Agronomic Sciences and Veterinary Medicine of Bucharest, 59 Mărăşti Blvd, District 1, Bucharest, Romania
Published: November 2024

Numerous ornamental plant species introduced to Europe have become invasive. Asclepias syriaca L. is a notable example and the focal point of our research. Native to North America, it was introduced to Europe in 1629 and is currently listed as an invasive species of concern under EU Regulation 1143/2014. In Romania, the species was first reported in 1836. Asclepias syriaca demonstrates a high capacity to adapt to various climatic and edaphic conditions. In Europe, it primarily inhabits abandoned agricultural lands, wet and dry meadows, road edges, and tree plantations, negatively impacting agriculture. The species exhibits competitive traits such as height, shad e tolerance, vegetative propagation, drought resistance, and allelopathic potential. The aim of this study was to
investigate the ecological and anatomical characteristics contributing to the invasive potential of Asclepias syriaca in Romania. The analyses of the current state of the species’ populations highlighted the environmental conditions that support its establishment and spread. Additionally, anatomical investigations revealed structural traits that further emphasize its adaptability to diverse envi ronmental conditions. This study enhances our understanding of the ecology and adaptive capacity of Asclepias syriaca , with significant implications for managing ecosystems affected by this invasive species in Romania.
Pengaruh Kecerdasan Emosi Terhadap Agresi Verbal di Media Sosial
Authors: Lingga fredyne  , Zulian fikry
Published: November 2024

Tujuan penelitian ini adalah untuk melihat pengaruh kecerdasan emosi terhadap perilaku agresi verbal di media sosial. penelitian ini menggunkan metode kuantitatif dengan analisis non parametrik yaitu rank spearman dikarenakan salah satu variabelnya berdistribusi tidak normal. Teknik sampling yang digunakan adalah purposive sampling, dengan subjek sebanyak 113 orang pengguna aktif media sosial di seluruh indonesia yang terdiri dari 53,1% subjek perempuan dan 46,9% subjek laki-laki. Dari uji analisis didapatkan hasil signifikan pada penelitian sebesar 0,028 (sig<0,5) dan korelasi (r) sebesar -0,207. Kemudian sebanyak 76,11% subjek pernah mengalami emosi marah yang meledak dalam 3 bulan terakhir. Dari data tersebut dapat disimpulkan bahwa terdapat pengaruh variabel kecerdasan emosi terhadap perilaku agresi verbal di media sosial dengan arah hubungan negatif. Semakin tinggi kecerdasan emosi maka semakin rendah agresi verbal dan semakin rendah kecerdasan emosi maka semakin tinggi agresi verbalnya. Kemudian sebanyak 76,11% subjek di duga melakukan agresi verbal secara patologis.
Hubungan Dukungan Keluarga Dengan Resiliensi Pada Mantan Pecandu Narkoba di Kota Padang
Authors: Sisilia  , Rahayu Hardianti Utami
Published: November 2024

Dukungan keluarga merujuk pada sikap, tindakan dan penerimaan terhadap anggota keluarga lain berbentuk bantuan, pertolongan dan dukungan ketika diperlukan. Hal ini berhubungan pada tingkat resiliensi seorang mantan pecandu narkoba. Resiliensi yakni suatu kapasitas atau kemampuan seseorang dalam bertahan dan pulih dari situasi sulit atau terpuruk sehingga dapat kembali menjalani kehidupan secara normal. Penelitian kuantitatif korelasional ini ditujukan guna mengetahui hubungan antara dukungan keluarga dengan resiliensi pada mantan pecandu narkoba di Kota Padang. Subjek mantan pecandu narkoba yang dimaksudkan ialah individu yang sudah melakukan penyalahgunaan narkoba, mengalami ketergantungan kemudian sudah dinyatakan pulih dan lepas dari ketergantungan atau kecanduan penggunaan narkoba baik dalam hal psikis dan jasmani. Adapun didapatkan 44 responden mantan pecandu narkoba yang menjadi sampel dan diperoleh melalui teknik purposive sampling non-probability. Data yang didapatkan kemudian dianalisis dengan teknik Pearson’s Correlation Product Moment dan diperoleh signifikansi 0.000 < 0.05 serta rhitung bernilai positif 0.667 > rtabel 0.297, sehingga terdapat korelasi yang kuat serta positif antara support keluarga dengan kemampuan resiliensi yang dimiliki mantan pecandu narkoba di Kota Padang. Dapat disimpulkan bahwasanya makin besar dukungan keluarga yang diberikan, tingkat resiliensi yang dimiliki mantan pecandu tersebut akan semakin tinggi dan positif juga. Begitupun kebalikannya, makin kecil dukungan keluarga, resiliensi mantan pecandu narkoba di Kota Padang semakin rendah juga.
Yüksek Din Öğretimindeki Kız Öğrencilerin Cami İçi Din Hizmetlerinden İstifade Etme Durumları
Authors: Çakmak Ahmet , Ecer Münir
Published: November 2024

Cami, İslâm’ın ilk dönemlerinden beri Müslüman toplumun ibadet, dinî eğitim gibi fonksiyonları icra ettiği merkezî bir mekân olmuştur. Bu fonksiyonlardan birinin de eğitim olduğu bilinen bir husustur. Cami merkezli din hizmetleri ise camilerin aslî görevleri arasında düşünülmüş ve geçmişten modern zamanlara kadar camilerin görevlerinden biri de yaygın din eğitimi olmuştur. Cami dersleri, hutbe ve vaazlar ile yakın geçmişte ortaya çıkan yaz Kur’an kursları bu türden hizmetler arasında sayılabilir. Bu hizmetlerin yürütücü olan Diyanet İşleri Başkanlığı cami merkezli din hizmetleri ile yaygın din eğitiminin toplumun tüm kesimlerine ulaşmasını hedeflemektedir. Bununla beraber söz konusu hedefin ne düzeyde gerçekleştiği araştırılmaya muhtaçtır. Bu kesimlerden biri olan ve merak edilen konulardan biri de muhafazakâr kadınların cami içi din hizmetleri ve yaygın din eğitimi faaliyetlerinden ne kadar istifade edebildiğidir. Bu çalışmada ilahiyat ya da İslâmî ilimler fakülteleri lisans kız öğrencilerinin cami içi din hizmetleri ile ilişkisinin belirlenmesi amaçlanmıştır. Çalışma, nicel araştırma yöntemlerinden tarama deseninde yapılmıştır. Veri toplama aracı olarak anket kullanılmış, veriler SPSS programında yüzde ve frekans analizi ile tablolaştırılmıştır. Elde edilen sonuçlara göre katılımcıların büyük çoğunluğu cami içi din hizmetlerinden faydalanmayı gerekli görmekle beraber oldukça düşük düzeyde faydalandıkları görülmüş; olması gereken ile mevcut durum arasında önemli düzeyde farklılık tespit edilmiştir.
Maximum Entropy (MaxEnt) Modeling of the Potential Distribution of Aspidiotus rigidus Reyne (Hemiptera: Diaspididae) in the Philippines
Authors:   Institute of Weed Science, Entomology and Plant Pathology, College of Agriculture and Food Science, University of the Philippines Los Baños, College, Laguna, Philippines 4031, Pangga Ireneo , Salvacion Arnold ,   Department of Community and Environmental Resource Planning, College of Human Ecology, University of the Philippines Los Baños, College, Laguna, Philippines 4031, Hamor Nikka ,   Institute of Weed Science, Entomology and Plant Pathology, College of Agriculture and Food Science, University of the Philippines Los Baños, College, Laguna, Philippines 4031, Yap Sheryl
Published: November 2024

The coconut scale insect (CSI) Aspidiotus rigidus Reyne (Hemiptera: Diaspididae) poses a significant threat to coconut production in the Philippines as shown by recent outbreaks. Ecological niche modeling using Maximum Entropy (MaxEnt) was used to determine the effects of environmental factors on the infestation of A. rigidus, and map its potential distribution in the Philippines to assess the risk of future outbreaks. The influence of bioclimatic variables on A. rigidus infestation was determined using MaxEnt modeling using the location data of A. rigidus occurrence confirmed using molecular markers. Rainfall and temperature variables were important for A. rigidus distribution with rainfall being more important than temperature. Annual rainfall and precipitation seasonality were the first and second most important variables determining A. rigidus infestation with 47.9% and 30.7% permutation importance, respectively. The final A. rigidus MaxEnt model showed an area under the curve (AUC) value of 0.93 indicating a very good predictive power; hence, the potential distribution map can be used to assess the risk of A. rigidus outbreaks in the Philippines.
Taxonomic Microbiome Profiling and Abundance Patterns in the Cacao (Theobroma cacao L.) Rhizosphere Treated with Arbuscular Mycorrhizal Fungi and Bamboo Biochar
Authors:   Department of Biological Sciences, College of Arts and Sciences, Cavite State University, Indang, Cavite, Philippines, Cortes Angelbert ,   Graduate School, University of the Philippines Los Baños, Laguna, Philippines, Aggangan Nelly ,   National Institute of Molecular Biology and Biotechnology (BIOTECH), University of the Philippines Los Baños, Laguna, Philippines, Opulencia Rina ,   Microbiology Division, Institute of Biological Sciences, College of Arts and Sciences, University of the Philippines Los Baños, Laguna, Philippines
Published: November 2024

Biochar and arbuscular mycorrhizal fungi (AMF) are agricultural interventions adopted by farmers to improve the growth of crops in nutrient-deficient acidic soil, which relatively influence the biological properties in the rhizosphere. This greenhouse study investigated the changes in prokaryotic diversity in the rhizosphere of cacao plants grown in acidic soil with AMF and bamboo biochar (BB) for 15 months under nursery conditions. Metagenomic analysis of the V3-V4 region of the 16S rRNA gene of the rhizosphere with AMF, 15% BB, and AMF + 15% BB revealed that the addition of AMF and BB reduced the sample's diversity, but the treatments increased the overall plant growth. Of all Operational Taxonomic Units (OTUs) recovered, the top three abundant phyla in the treated soils were: Proteobacteria, Acidobacteria, and Actinobacteria. The relative abundances of Proteobacteria and Acidobacteria increased with the treatments, whereas that of Actinobacteria was decreased. Biochar increased the unclassified genera under Order Acidobacteriales and Chromatiales. In contrast, AMF increased the abundance of an unclassified genus under Order Xanthomonadales. The genus Rhodoplanes was the most dominant in AMF + 15% BB-treated soil with a relative abundance of 9.4%. The four samples shared only 4.9% of the total OTUs; apparently, the microbial communities across samples were separated and distinct. Most of the increased genera have been reported to play essential roles in nutrient cycling, which may contribute to cacao growth promotion.
Standardized Ileal Digestibility of Amino Acids in Nacedero (Trichanthera gigantea (Humboldt & Bonpland.) Nees) Foliage, Copra Expeller, and Soybean Meal Fed to Growing Philippine Native Pigs (Sus scrofa domesticus Erxleben, 1777)
Authors:   Deparment of Animal Science, College of Agriculture, Benguet State University, La Trinidad, Benguet, Garcia Mary Arnel , Sulabo Rommel ,   Animal Nutrition Division, Institute of Animal Science – College of Agriculture and Food Science, University of the Philippines Los Baños, College, Laguna
Published: November 2024

The experiment was conducted to determine the apparent ileal digestibility (AID) and standardized ileal digestibility (SID) of amino acids (AA) in nacedero (Trichanthera gigantea Humboldt & Bonpland.) Nees; NAC) foliage, copra expeller (CE), and soybean meal (SBM) fed to growing Philippine native pigs (Sus scrofa domesticus Erxleben, 1777). Eight barrows of Black Tiaong strain (initial BW of 36.44 ± 1.59 kg; 132 to 135 d) installed with a T-cannula at the distal ileum were housed individually in metabolism cages and randomly allotted to a replicated 4 × 3 Youden square design with four diets and three periods. One diet contained 30% soybean meal (SBM) and two diets were formulated with 20% SBM and 30% (as-fed basis) NAC or CE. The last diet was a N-free diet used to measure basal endogenous losses of crude protein (CP) and AA. The SID of CP and all indispensable AA in CE were less (P<0.001) than in SBM, while NAC foliage were similar to those in SBM. However, the amount of SID CP and AA in NAC were remarkably lower (P < 0.001) than in CE and SBM. To our knowledge, this is the first time the AID and SID of AA in NAC have been determined in Philippine native pigs. Results of this experiment indicate that NAC foliage has good palatability and AAs are well digested by growing Philippine native pigs at a rate similar with SBM. However, when NAC is fed fresh, the SID concentration of CP and AA (g/kg) were the least (P < 0.001) compared with CE and SBM. Drying and processing of NAC foliage into a meal may be considered to increase AA concentrations in the diet.
Examining the educational connection and psychological wellness of Chinese EFL students: The functions of productive scaffolding provided by language teachers
Authors: Huang Yanyun
Published: November 2024

The core element of successful language acquisition lies in the active participation of students. When exploring factors that enhance the academic performance of English as a Foreign Language (EFL) students, teacher emotional support has always been a focal point of academic research. With the application of positive psychology, researchers are increasingly focusing on emotions, especially positive emotions, as a central role in the Second Language Acquisition (SLA) field. Over the past decade, researchers have particularly focused on the academic engagement and psychological well-being of language learners, considering them as key factors in improving educational quality. However, specific data on how EFL teachers can enhance students’ psychosocial health and academic engagement through emotional support is still insufficient. Therefore, this study used a questionnaire survey to deeply analyze the data of 1968 Chinese EFL students. Specifically, the research results show that the emotional support provided by teachers can explain up to about 74% and 63% of the differences in EFL students’ educational engagement and mental health, respectively. At the same time, this study also constructed a Structural Equation Modeling (SEM) model, concluding that the CMIN/DF ratio is less than 4. In addition, the research results further reveal the potential important mediating role of Chinese English teachers’ self-efficacy in their resilience, emotional management skills, and mental health. In summary, these findings highlight the importance of establishing positive teacher-student relationships to promote the comprehensive psychological development of students.
Exploring biomimetic inspiration and biomechanical optimization in brand design strategy
Authors: He Yun , Park Jongbin
Published: November 2024

Nature’s principles serve as a source of inspiration for biomimetic design incorporating them to achieve the best functionality and creativity. Biomechanical optimization takes this approach further by focusing on the effective use of physical resources and dynamics. They offer a solid foundation for brand design. This research seeks to look into a new method for biomimetic and biomechanical brand design using a deep learning (DL) model called Resilient Ant Colony Optimized Generative Adversarial Networks (RAC-GAN). The dataset comes from primary sources, including current brand logos and biomimetic images from nature such as plant structures, animal shapes, and natural patterns. These biomimetic images show a range of organic forms and textures that can flash creative and practical design elements. The team filtered the collected images to get rid of duplicates and adjusted to have the same resolution. They applied techniques similar to contrast enhancement to make sure the training data was high-quality. After pre-processing, the dataset into the RAC-GAN model used biomimetic principles to copy organic patterns, while biomechanical optimization made sure the created designs balanced creativity with functionality. The suggested model combines generative modeling with ant colony optimization to guide the creation process. The aim is to make sure the design is strong and works well by using ant-like paths that change to find the best setups. The RAC-GAN methodology demonstrated its ability to generate new concepts for logos that remained accurate to the brand’s values.