bluuebunny/crossref_metadata_2025 huggingface dataset:
Finite element analysis of curved beams
Authors:   Department of Civil Engineering, School of Engineering, Elmergib University, Alkhoms, Libya, Alnaas Waled F. , Elmapruk Jamal H. ,   Department of Civil Engineering, School of Engineering, Elmergib University, Alkhoms, Libya, Aliwan Alhussin F. ,   Department of Civil Engineering, School of Engineering, Elmergib University, Alkhoms, Libya, Sryh Lamen S. ,   Department of Civil Engineering, School of Engineering, Elmergib University, Alkhoms, Libya
Published: December 2024

Curved beam structures play a vital role in many engineering applications, such as civil, mechanical, and aerospace engineering. Finite Element Analysis of curved beams poses unique challenges to obtain exact stiffness and mass matrices due to the combined effects of axial, shear and bending forces, along with geometric nonlinearity and material behavior. In this study, finite curved beam element and finite straight beam element were used to simulate a quarter-circular cantilever ring beam. This paper investigates the effect of the radius of curvature on axial, shear and rotational displacements obtained by the two approaches. A comparison between using the finite curved beam element and the finite straight beam element shows that the two methods provide very similar results when the curve radii are not big.

Keywords: FEA, straight beam elements, curved beam elements, radius of curvature.
Incidence of confinement due to COVID-19 on people's perception of their physical exercise habits
Authors: Coronel Tenorio Ana Karina , González Berruga Manuel Ángel
Published: December 2024

The COVID-19 emergency forced the confinement of the population all over the world, generating health effects and changes in physical exercise habits. The article shows a research whose objective is to know the perception of people about their physical exercise habits in the face of the reality of the confinement due to the COVID-19 pandemic. It is a qualitative research, descriptive and interpretative in scope, basic, for which an open interview was designed for a sample of 8 subjects selected for performing regular physical exercise before confinement and being in a situation of strict confinement. The results show a lack of socialization, motivation to exercise at home, insufficient expectations and no excessively harmful habits. The main conclusions point out the variability of the experiences of confinement and the practice of physical exercise in relation to the personal characteristics of the subjects and the importance of knowledge about the practice of physical exercise to adapt the activity to the particular personal needs.
PANORAMA HISTÓRICO DAS REVISTAS ALTERNATIVAS NO BRASIL: DESIGN, RESISTÊNCIA E EXPERIMENTAÇÃO GRÁFICA DURANTE A DITADURA BRASILEIRA
Authors: Oliveira Mirtes Marins de , Godoy Guilherme Tadeu de
Published: December 2024

O ar go "Panorama Histórico das Revistas Alterna vas no Brasil: Design, Resistência e Experimentação Grá ca durante a Ditadura" de Mirtes Cris na Marins e Guilherme Tadeu de Godoy analisa a emergência de revistas alterna vas no Brasil dos anos 1970 como plataformas de resistência polí ca, cultural e inovação grá ca sob a ditadura militar. Por meio de revisão bibliográ ca e análise histórica, o estudo mapeia a evolução destas revistas, destacando como elas desa aram os padrões editoriais tradicionais e promoveram novas possibilidades no design e nas artes visuais. Detalha-se o desenvolvimento do conceito de revista ", desde a separação de jornais e folhetos até a de nição e facilidades do formato no Brasil, simbolizada pela transformação do periódico "As Variedades ou Ensaios de Literatura" de folheto para folheto. O ar go enfa za a di culdade em de nir rigidamente o formato da revista, dada sua variedade e adaptações às mudanças econômicas e tecnológicas. Conclui-se ressaltando a importância dessas publicações na história grá ca e cultural brasileira, considerando-se os marcos pela sua contribuição à expressão e inovação durante um período de repressão.
The impact of strobe visual training on the sports vision abilities of elite clay target shooters
Authors: Gao Dongxu , Hu Beishi , Yuan Tinggang , Guo Qingshou , Wei Pengfei , Wu Yang , Chen Chao
Published: December 2024

Background: The act of clay target shooting is widely considered to be among the most challenging activities and visual abilities may serve as a limiting factor in shooting performance. Investigating the influence of Stobing visual training on the motor visual ability and special performance of elite clay target shooters. Method: The study involved 26 elite athletes from the Chinese national clay target shooting team (11 males, 15 females), divided into experimental group (n = 13) and control group (n = 13), subjected to eight weeks of general and specialized strobe visual training through experimental methods, utilizing Senaptec testing system to assess the athletes’ motor visual ability, utilizing the result of two qualification races to assess the special performance, analyzing the impact of SVT on the motor visual ability and special performance of clay target shooters. Statistical analysis of the results was performed using Mann-Whitney U rank sum test, independent samples t-test, Wilcoxon signed-rank test, or paired samples t-test. Results: There was no statistical difference in any of the sports vision ability indicators between the experimental group and the control group before the intervention (P > 0.05). Post intervention, except for visual clarity, contrast sensitivity, and perception depth (P > 0.05), all other indicators and the result of special performance showed significant differences (P < 0.05). Conclusion: Long-term strobe visual training intervention resulted in improved perceptual and motor visual abilities in clay target shooters, displayed as enhanced indices in target capturing, reaction time, decision mechanisms, hand-eye coordination, distance switching, perceptual range, and multi-target tracking ability software indices combined with the special performance. However, the long-term intervention of strobe visual training didn’t show notable improvement and promotion on visual system hardware indices.
Sustainable Agricultural Production, Organic Farming, Future Opportunities, Trends, Consumption Habits and Priorities
Authors: Szőke Brigitta , Márki Barbara Éva , Malatyinszki Szilárd , Dávid Lóránt Dénes
Published: December 2024

Organic farming has emerged as a cornerstone of sustainable agricultural practices, offering solutions to environmental degradation, biodiversity loss, and soil depletion. This study provides a comprehensive analysis of the role of organic farming in Hungary, exploring its economic, environmental, and social impacts. Using a mixed-methods approach, it examines consumer behavior, sustainability challenges, and opportunities for market expansion. The findings emphasize the potential of integrating circular economy principles to enhance resource efficiency and minimize environmental burdens in agricultural systems. Furthermore, the implications for fostering circular societies and advancing circular tourism are considered, demonstrating the broader significance of sustainable practices in rural development. Special attention is given to Hungarian consumers' attitudes, highlighting the barriers and opportunities for adopting organic products. This research contributes to the discourse on sustainable development by aligning organic farming with innovative, circular approaches to production and consumption.
Comparative Analysis of the Construction Industry in the EU and the Arab States of the Persian Gulf (GCC): Its Impact on Economic Growth
Authors: Veres Boglárka , Szőke Brigitta , Malatyinszki Szilárd , Dávid Lóránt Dénes
Published: December 2024

The construction industry plays a pivotal role in propelling global economic growth. This research examines the economic contributions of the construction sectors in the European Union (EU) and the Gulf Cooperation Council (GCC) region. The EU's approach is characterised by a focus on sustainability-driven policies, including energy efficiency and circular economy practices. This is intended to foster economic resilience and alignment with international commitments such as the Paris Agreement. In contrast, the construction sector in the Gulf Cooperation Council (GCC) is driven by large-scale infrastructure projects and urbanisation, which are in turn fuelled by oil revenues. This emphasises the importance of diversification as a means of reducing economic volatility. By analysing regulatory frameworks, investment trends and technological innovations, the study demonstrates how the construction industry contributes to GDP growth, job creation and industrial development in both regions. Moreover, it investigates potential avenues for interregional collaboration, underscoring the capacity of sustainable construction practices and innovation to bolster economic stability and competitiveness within the global construction landscape. The study also highlights how circular economy principles can redefine sustainable construction practices, enhancing resource efficiency and promoting resilience.
Development and Validation of a Performance Assessment Instrument for Lecturers in Higher Education
Authors: . Mardainis , Giatman Muhammad , . Waskito , Andesa Khusaeri
Published: December 2024

Higher education plays a pivotal role in human resource development and national progress. Lecturers, as key contributors to the higher education system, significantly influence graduate quality through effective and efficient teaching practices. However, evaluating lecturers' teaching performance comprehensively remains a challenge due to its multidimensional nature. Existing evaluation methods often rely on subjective assessments from students or peers, which are influenced by personal preferences and interpersonal relationships. Moreover, the instruments used frequently lack comprehensiveness, validation, and reliability, resulting in inaccurate evaluations. This study highlights critical issues in current evaluation practices, including reliance on single-source data, lack of transparency in feedback, uneven technological integration, and a focus on outcomes over teaching processes. These limitations hinder the utility of performance evaluations as tools for professional development, reducing their potential to enhance teaching quality. To address these challenges, this study proposes a comprehensive approach to lecturer performance evaluation, incorporating diverse perspectives—students, peers, self-assessments, and program heads—while emphasizing the need for validated instruments, technology integration, and constructive feedback mechanisms. By developing and implementing a robust and objective evaluation system, this research aims to support continuous professional development and improve teaching quality in higher education.
STUDING PECULIARITIES OF ENGLISH HUMOROUS WORKS TRANSLATION AS A CONDITION FOR FOREIGN LANGUAGE CULTURE KNOWLEDGE
Authors:   Glazov State Engineering Pedagogical University by V.G. Korolenko, Smirnova Marina N.
Published: December 2024

The article substantiates the importance of studying foreign language culture. In
particular, the author pays attention to the importance of studying the cultural characteristics of
"subtle" English humor. He emphasizes that a literal translation of humor is impossible, because
English "subtle humor" is based on wordplay. The article provides examples of the translation of
humorous works based on pun and wordplay. The author emphasizes that familiarization with the
peculiarities of English-language humorous works is a good means to penetrate into foreign
language culture and contributes to the organization of a full-fledged communicative process.
PEDAGOGICAL METHODS FACILITATING PROCESS OF SEMANTICIZING LACUNARY VOCABULARY AT RUSSIAN AS FOREIGN LANGUAGE CLASSES
Authors:   Glazov State Engineering Pedagogical University by V.G. Korolenko, Grigorjeva Marjana Yu. , Khvataeva Natalia P. ,   Glazov State Engineering Pedagogical University by V.G. Korolenko
Published: December 2024

In the context of the rapid growth of interest in learning Russian as a foreign language,
there is a need to search for pedagogical methods to simplify the process of semanticizing
accidental gaps in lessons on Russian as a foreign language. The purpose of this study is to identify
the most appropriate methods of semantization and pedagogical methods that allow the
implementation of these methods of semantization in lessons of Russian as a foreign language.
Analysis was chosen as the leading method for conducting this study. As a result of the research,
methods of semantization and pedagogical methods that allow to implement these methods of
semantization in the classroomwere identified. These methods more closely meet the requirements
of the methodology of teaching Russian as a foreign language. The most appropriate ways of
semantization were the use of visualization, working with dictionaries, guessing by context. Among
the pedagogical methods, the following were highlighted: mistakes analysis, contextual tasks,
educational entertainment, visualization, discussion method, vocabulary methods, reflection
methods. The results of this study can be applied when planning lessons in Russian as a foreign
language, since the selection of pedagogical methods at the stage of studying accidental gaps often
causes difficulties for teachers.
CIVIL IDENTITY CONCEPT IN MODERN PSYCHOLOGICAL AND PEDAGOGICAL RESEARCH
Authors:   Glazov State Engineering Pedagogical University by V.G. Korolenko, Tebenkov Alexey A. , Khvataev Andrey N. ,   Glazov State Engineering Pedagogical University by V.G. Korolenko
Published: December 2024

The article examines the concept of civic identity in modern studies. Concept complex
structure allows different interpretations, generates terminological synonymy, and variability of
interpretations. The authors analyzed presentation of civic identity based on categorical features,
which allows comparing conceptual structure in works devoted to different levels of education:
preschool, school, vocational, and higher. The authors conclude that only cognitive categorical
features are fully realized at all stages.
Heritage-led regeneration in Gloucester
Authors: James Paul
Published: December 2024

This paper describes the regeneration of Gloucester during the period 2004–20. The regeneration efforts adopted by Gloucester City Council used heritage-led regeneration and involved the local community.
Risk management, the board and the C-suite: The adaptive art of communication in times of change
Authors: Cocozza Rosa
Published: December 2024

Financial institutions have always been tasked with mitigating risks due to their role in financial markets. Risk management is a fundamental component of financial intermediation, which since the late 1970s has become more structured, demanding more sophisticated tools and techniques and requiring Chief Risk Officers (CRO) to possess advanced technical skills, particularly in the hard sciences. Nevertheless, technical skills are not the sole expertise required nowadays; the participation of risk managers in strategic meetings calls for negotiation skills to interact with those responsible for drafting the business plan, typically the Chief Financial Officer (CFO), and communication skills to connect with board members who set the strategic direction. While negotiation can be mediated through the General Manager (GM) or the Chief Executive Officer (CEO), communication with the board is direct and immediate. Traditionally, effective communication is not generally regarded as a typical quality of financial risk managers, since this is a substantially different skill from the technical expertise needed. Regulators require that banks implement company-wide risk management frameworks with the use of analytical models for the measurement and control of quantifiable risks. In addition, corporate governance guidelines advocate for the ‘business partner’ role in risk management. The question is: how do risk officers balance their dual role as a ‘compliance champion’ and a ‘business partner’? Effective communication may provide a solution. This paper outlines the goals and tools for effective communication for risk management to enable sound decision making and thereby counteract the group thinking that may lead to poor decisions, often resulting in an imbalance between risk taking and control that can undermine the operational resilience of banks.
Farklı Termal İyileştirmeler Uygulanmış Faz Değiştiren Malzeme Esaslı Termal Koruma Sistemlerinin Deşarj Performanslarının Karşılaştırılması
Authors: Çapar Ahmet Can , Öztürk Adnan , Demir Aydın , Temel Ümit Nazlı
Published: December 2024

Bu çalışma geçici olarak ısı açığa çıkaran elektronik sistemlerin faz değiştiren malzeme esaslı pasif termal korunumu sırasında FDM bünyesine aktarılan ısının bir sonraki termal korumaya hazır hale getirilmesi için uzaklaştırılması işlemlerine odaklanmıştır. Başka bir ifadeyle belirli bir süre ısı depolanmış (şarj) FDM’nin soğuma performansları (deşarj) FDM üzerinde uygulanan farklı iyileştirme teknikleri açısından karşılaştırılmıştır. Bu amaçla öncelikle FDM içerisine farklı sayıda alüminyum kanat eklemesi ile elde edilen Kanat/FDM termal koruma sistemleri elde edilmiştir. Benzer biçimde FDM içerisine kütlece %1 ve %3 oranlarında yüksek ısıl iletkenliğe sahip karbon tabanlı nanoparçacık eklenmesiyle elde edilen Nanoparçacık/FDM termal koruma sistemleri oluşturulmuştur. Elde edilen Kanat/FDM ve Nanoparçacık/FDM termal koruma sistemlerinin soğuma performansları maksimum yüzey sıcaklığı ve maksimum yüzey sıcaklık farkı kriterleri açısından değerlendirilmiştir. Sonuçlar RT-44 termal korumasının performansı ile karşılaştırmalı olarak verilmiştir. FDM ile karşılaştırıldığında en iyi soğuma performansı %10.5 ile altı kanat eklenmiş FDM termal korumasına aittir. Nanoparçacık/Kanat/FDM hibrit termal korumasında bileşenlerin soğuma performansı için herhangi bir sinerjik etki oluşturmadıkları ve asıl katkının kanatlar tarafından sağlandığı belirlenmiştir.
Immobilization of Candida tropicalis Lipase and Cells Isolated from Olive Pulp
Authors: Kebabcı Özgür
Published: December 2024

Yeast isolated from waste olive pulp obtained from a local olive oil mill was identified and determined to be a Candida tropicalis strain. Lipase production optimization of C. tropicalis strain has been completed. The lipase produced according to the optimization parameters was partially purified by ammonium sulfate precipitation and dialysis. Crude enzyme, partially purified lipase, and cells of the C. torpicalis strain were separately immobilized into sodium alginate, k-Carrageenan, and Agar-Agar, respectively, and their lipase activities were investigated. The highest lipase activity was determined as 10.83 U/ml in the partially purified sample that was not immobilized.
İş Sağlığı ve Güvenliği Çalışmalarında Bilişim Entegrasyonu: Telekominikasyon Sektörü Örneği
Authors: Güçlü Sedat , Bostancıoğlu Murat
Published: December 2024

Günümüzün hızlı ve rekabetçi iş dünyasında gelişmiş bilgi teknolojileri vazgeçilmezdir. Hızla ilerleyen sanayileşme ve teknolojik gelişmeler, işyeri tehlikeleri ve risklerinin artmasına neden olmuştur. Telekomünikasyon sektöründe çalışanları bu tehlike ve risklerden korumak amacıyla risk değerlendirme çalışmaları yapılmaktadır. Bu çalışmalar, tehlikelerin ve risklerin belirlenmesi, iş kazalarının önlenmesi ve güvenlik kültürünün teşvik edilmesi için gerçekleştirilir. İş sağlığı ve güvenliğinin interaktif ve senkronize takibi, risk faktörlerinin inaktif hale getirilmesi ve güvenli bir çalışma ortamı sağlanması önemlidir.
Bu çalışmada, Türkiye’deki bir GSM şirketinin iş sağlığı ve güvenliğinde bilişim teknolojisini nasıl kullandığı, entegrasyonun avantaj ve dezavantajları ve çalışanların tutumu değerlendirilmiştir. Araştırma, bilişim sistemlerinin iş akışı ve iş sağlığı güvenliğinde önemli kazanımlar sağladığını ortaya koymuştur. Sonuç olarak, telekomünikasyon sektöründe iş sağlığı ve güvenliğine yenilikçi ve evrensel bir bakış açısı kazandırılması beklenmektedir.
Investigation of The Temperature Dependent Electrical Properties of LT-GaN Layer Grown on A Sapphire Substrate
Authors: Altun Didem , Elagöz Sezai
Published: December 2024

In this study, the electrical characterization of a low-temperature GaN (LT-GaN) layer within an InGaN/GaN blue light-emitting LED structure grown on a sapphire substrate using the Metal Organic Chemical Vapor Deposition (MOCVD) method was examined. For high-quality growth of the GaN layer on a sapphire substrate, a two-stage GaN growth process is employed, consisting of a low-temperature GaN (LT-GaN) layer and a high-temperature GaN (HT-GaN) layer. This study specifically investigates the structural and electrical properties of the LT-GaN layer, which is the first stage of the GaN growth process. Structural characterization was performed using high-resolution X-ray diffraction (HRXRD), while electrical characterization involved Hall effect measurements and current-voltage (I-V) measurements. Based on the results from structural and electrical measurements, the optimal growth temperature for the LT-GaN layer was determined, and the effect of growth temperature on the electrical properties was demonstrated.
DERİN REZİDÜEL AĞLARIN AKCİĞER KANSERİ SINIFLANDIRMADAKİ BAŞARIMI: HİSTOPATOLOJİK GÖRÜNTÜLER ÜZERİNDE İNCELEME
Authors: Yağmurcu Merve , Uzun Sultan , Polat Özlem
Published: December 2024

Akciğer kanseri, dünya genelinde yaygın olarak görülen ve yüksek ölüm oranına sahip kanser türlerinden biridir. Bu hastalığın erken teşhisi, yaşam süresini uzatmak ve tedavi başarısını artırmak açısından hayati önem taşımaktadır. Bu çalışmada, histopatolojik görüntülerden akciğer kanserinin sınıflandırılmasına odaklanılmış ve rezidüel tabanlı modellerin (ResNet18, ResNet34, ResNet50, ResNet50V2, ResNet101, ResNet101V2, ResNet152, ResNet152V2) sınıflandırma üzerindeki başarımı incelenmiştir. Veri seti olarak adenokarsinom, iyi huylu ve skuamöz hücreli karsinom olmak üzere üç sınıf içeren ve her sınıfta 5000 görüntünün olduğu LC25000 veri seti kullanılmıştır. Test edilen modeller arasında ResNet18 %99,90 doğruluk oranı ile en yüksek sınıflandırma performansı göstermiştir. Elde edilen sonuçlar, ResNet tabanlı modellerin karmaşık histopatolojik görüntüleri doğru bir şekilde sınıflandırmada üstün performans sergilediğini ve akciğer kanseri teşhisinde derin öğrenme yöntemlerinin pratik bir çözüm sunabileceğini göstermektedir.
Entrepreneurial Resiliency: Assessment of Entrepreneurs of Catarman, Northern Samar, Philippines
Authors: Legaspi Korina , Ebdane Tia Mare , Sanoria Jane , Formaran Mar
Published: December 2024

Entrepreneurial resilience is vital for sustaining enterprises, particularly in rural areas where economic instability and natural disasters are prevalent. In the Philippines, where micro, small, and medium enterprises (MSMEs) significantly contribute to economic development, understanding the factors influencing resilience remains underexplored. This study examines entrepreneurial resilience among 111 entrepreneurs in Catarman, Northern Samar, using a descriptive-correlational methodology and quantitative analysis. Data were collected through structured interviews and validated questionnaires. The findings reveal that entrepreneurs possess strong skills in opportunity recognition, creativity, problem-solving, product development, and networking, significantly enhancing resilience. However, limited government support emerged as a key challenge, with no significant relationship found between structural or environmental factors and entrepreneurial resilience. These results highlight the importance of individual entrepreneurial skills in fostering resilience while calling for increased governmental assistance to support rural entrepreneurs. This research addresses a critical gap by focusing on entrepreneurial resilience in a rural context, offering insights for policymakers and stakeholders to develop targeted interventions. By strengthening entrepreneurial skills and improving support systems, the sustainability of MSMEs in economically and environmentally vulnerable regions can be enhanced.
Los frentes invisibles. El conflicto geopolítico a través de la Guerra de la Información
Authors: Muñoz Pairet Pau
Published: December 2024

En el mundo globalizado actual, las guerras no solo se libran con armas, sino también en un campo de batalla invisible: el dominio de la información. Este libro revela los frentes invisibles de los conflictos contemporáneos, donde la manipulación informativa, la subversión política y los ciberataques son piezas fundamentales de una gran estrategia. Más allá de la simple difusión de noticias falsas, la guerra de la información abarca desde la financiación de movimientos políticos hasta complejas operaciones de espionaje o propaganda que moldean narrativas y desestabilizan sociedades enteras.

Apoyado en un riguroso análisis de datos masivos provenientes de redes sociales
y medios de comunicación, Frentes Invisibles ofrece un enfoque innovador y profundo sobre cómo las grandes potencias —Estados Unidos, China y Rusia— emplean este tipo de guerra cuando la acción militar convencional no es viable. Desde Iberoamérica hasta el Indo-Pacífico, Pau Muñoz explora cómo estas dinámicas afectan a las principales regiones geopolíticas que consolidan el eje de poder mundial, identificando patrones y estrategias que revelan la naturaleza transversal y permanente de este tipo de conflictos.

Un trabajo pionero en lengua española que, a través del uso del big data y bajo un enfoque analítico, ilumina un fenómeno esencial para entender las relaciones internacionales del siglo XXI.
Talking Stick Model to Increase Student Learning Activity
Authors: Ali Damsir , Matters Lungisile Ntsebeza , Naidoo Zimitri Erasmus
Published: December 2024

Stick learning models speak using stick media. After students can learn the main topic, students who carry sticks are responsible for answering the teacher's questions. This learning method is designed to find out how far students understand the material being taught. When a teacher does not involve students in the learning process actively, students do not get the opportunity to ask questions or give opinions. In addition, the use of minimal media in learning causes the learning process to be less effective. The method implemented by the teacher is less creative, which causes students to feel bored, and the teacher is unable to present the lesson in an interesting way. This study uses a qualitative approach with library analysis. The Talking Stick model helps the learning of students and makes them more active, responsible, confident, and independent. It also makes learning more interactive and easier to use by the teacher. Teachers and students who use this learning model can get a lot of developments and advantages in learning, but some students can still listen, but they are less able to show their speaking skills when their turn arrives.
EL ARBITRAJE INTERNACIONAL COMO HERRAMIENTA PARA LA RESOLUCIÓN DE DISPUTAS EN EL COMERCIO SOSTENIBLE
Authors: ERAZO ANGIE GABRIELA SÁNCHEZ
Published: December 2024

El arbitraje internacional ha emergido como una herramienta clave para la resolución de controversias en el comercio sostenible, ofreciendo un marco eficiente y flexible. Este estudio analiza el uso del arbitraje en casos relacionados con comercio y sostenibilidad, evaluando su efectividad en la promoción de prácticas comerciales responsables.
EDUCAÇÃO PERMANENTE SOBRE O CARRO DE EMERGÊNCIA COM A EQUIPE DE ENFERMAGEM DE UM HOSPITAL UNIVERSITÁRIO DA REDE EBSERH: RELATO DE EXPERIÊNCIA
Authors: Serra Allana Karen Santos , Alves Jordana Maria Freitas , Fernandes Luciany Barbosa da Silva , Ribeiro Andréia Cristina da Silva , Ribeiro Helen Rosy Gomes , Silva Luana Márcia Rocha , Campos Renata Sousa , Chaves Suelen Pacheco , Barbosa Thays Luanny Santos Machado , Silva Jocilene da Cruz
Published: December 2024

This study reports on the implementation of a continuing education activity on the Emergency Cart for nursing professionals from an inpatient unit in a medical clinic. Regarding the role of the nurse, a recent care protocol mentions the nurse as responsible for organizing, checking and replenishing the emergency cart. The aim is to ensure the availability of materials and medications necessary for emergency patient care, maintain standardization in relation to the quantity of materials and medications, avoiding waste and shortages, ensure the quality and effectiveness of care through the professionals’ knowledge of the materials arranged in the cart, thus protecting the patient from unnecessary harm due to disorganization or lack of supplies necessary for emergency care, improving the organization and work process of the team. In this context, carrying out continuing education is a strategy that can help nursing professionals develop knowledge based on meaningful learning and the possibility of transforming care practices.
Korelasi Wakaf Dalam Peningkatan Kesejahteraan Sosial Dalam Perspektif Ekonomi Syariah
Authors: Nuraini Umul
Published: December 2024

Wakaf merupakan salah satu instrumen penting dalam ekonomi syariah yang dapat memberikan dampak signifikan terhadap peningkatan kesejahteraan sosial. Artikel ini bertujuan untuk menganalisis korelasi antara wakaf dan peningkatan kesejahteraan sosial melalui pendekatan ekonomi syariah. Penelitian ini menggunakan metode kualitatif deskriptif dengan pendekatan studi kasus pada beberapa lembaga pengelola wakaf di Indonesia. Hasil penelitian menunjukkan bahwa wakaf memiliki peran yang sangat besar dalam sektor pendidikan, kesehatan, serta pemberdayaan ekonomi masyarakat miskin. Wakaf produktif, seperti wakaf uang yang digunakan untuk mendanai usaha mikro dan program pendidikan, telah membantu meningkatkan kualitas hidup masyarakat. Meski demikian, implementasi wakaf masih menghadapi berbagai tantangan, seperti kurangnya pengelolaan yang profesional dan kesadaran masyarakat yang rendah terhadap pentingnya wakaf. Oleh karena itu, untuk mengoptimalkan potensi wakaf, diperlukan perbaikan dalam regulasi, pengelolaan yang transparan, serta kolaborasi yang lebih erat antara lembaga pengelola wakaf, pemerintah, dan masyarakat.
Predicting the Distance of Objects in the Blind Zone of an Ultrasonic Array
Authors: Hsieh Yi-Zeng , Fanjiang Yong-Yi , Hwang Jan-Pan
Published: December 2024

This study is driven by the primary goal of mitigating ultrasound signal interference within blind spots. The presence of overlapping ultrasound signals and objects often leads to erroneous object detection due to the convergence of reflected waves and accumulated reverberations from obstacles, thus creating a blind zone for ultrasound signals. Consequently, measurements conducted within this region frequently yield inaccuracies in judgment and distance estimation. To address these challenges, this research advocates the implementation of an array wall constructed from multiple ultrasound transducers as a foundational solution. The design of this array wall is intricately crafted based on considerations of diffusion angles and directional coefficients within the sound field. The proposed approach involves the emission and collection of multiple signals for comprehensive analysis, facilitated by a distributed computing architecture for signal processing and visualization. By adopting this innovative methodology, the study aims to achieve effective object identification within the blind zone. Furthermore, the research endeavors to develop a prototype system for object detection within blind spots and path planning. To validate the effectiveness of this solution, the Google Maps API will be utilized, shedding light on the challenges associated with measuring distances using ultrasound signals in blind spots.
Lightweight CNN Architecture for IoT: Enhancing Character Recognition in Multiple Fonts
Authors: Chen Chung-Hsing , Huang Ko-Wei
Published: December 2024

Existing approaches to English character recognition generally ignore font differences, and those based on deep learning are often trained on only one font owing to computational constraints. To address this problem, we propose the Very Lightweight Network (VLNet), a lightweight convolutional neural network. First, we decompose the characters of a given font into their constituent strokes. Subsequently, we pass the stroke information as input to a simple convolutional neural network. Stroke-based feature extraction reduces the requirement for graphics data and training input size. The network is small and efficient; thus, it is suitable for edge computing and Internet of Things applications. In the experimental comparison with the standard character-recognition systems LeNet, AlexNet and MobileNet V3, VLNet demonstrated superior accuracy for known and unknown fonts and a reasonable prediction time per character. The results of this study were also implemented in Plustek Inc.’s Q30 network scanner, which enabled direct document content recognition and transfer to various cloud services.
An Optimal Algorithm for Resource Optimization in 5G Networks Based on Machine Learning
Authors: Sang Dong , Sun Hongwei
Published: December 2024

A 5G network enabling technology to meet multi-gabit data demands is mmwave D2D communications. As a result of their directional coverage and high data rate connectivity, mmwave networks are well suited for the delivery of proximity services via D2D communications. In a dense D2D pair network situation, the directional features at the mmwave band reduce interference between D2D pairs. To evaluate the impact of the integration of D2D and mmWave communication, this paper proposed a novel algorithm. The main idea is to maximize the total system throughput through optimal objective function. The linear correlation method is used to select the admission set of D2D users. Then, the optimal transmit power is determined through a power control mechanism. Finally, the resources are allocated to the D2D users using a multi-phase matching algorithm. Simulation results show that the proposed algorithm has better performance as compared with existing algorithms.
Agriculture with Energy Conservation and AI Technology: Analysis of Operational Efficiency of Vertical Farms
Authors: Lin Cheng-Sheng , Yen Chun-Chang , Shyu Chin-Shyang , Tsao Hsiao-Chang
Published: December 2024

The rise of vertical farms offers new opportunities for climate change and agricultural development. Vertical farms use greenhouses and AI technology applications to overcome the agricultural problems of climatic factors and labour shortages. It also leads to the problem of high electricity bills and other operating costs, which affects the operating efficiency. This study aims to analyse the operational efficiency and input-output resource allocation of vertical farms. This study uses a dynamic network DEA model to analyse the first-stage energy efficiency stage, second-stage operating efficiency and overall efficiency of the world’s top 8 vertical farms from 2018 to 2022. The research results are as follows: 1. The first-stage input (solar power generation and water-saving equipment) is sufficient, and the intermediate output of the vertical farm (the higher the power generation, the greater the water saving) is prone to economies of scale, and the impact on the vertical farm in the first stage will be Brings positive operational efficiencies to the department. 2. The COVID-19 epidemic has had a significant positive impact on the power generation and energy saving efficiency of the first phase of vertical farms, which means that the energy input and output of vertical farms have been better distributed during the epidemic, and indirectly affected the second phase. stage operational efficiency as well as the overall operational efficiency of the vertical farm. 3. According to the slack variable analysis, in order for vertical farms to achieve the best overall operating efficiency, both input and output factors need to be reallocated and adjusted. Among them, operating costs (power costs) need to be reduced by 38.68%, which is the largest adjustment among all input factor resources. Vertical farms use modern, high-tech artificial intelligence to stabilise crop value supply chains and provide many other functional benefits. However, their operational efficiency is severely hampered by high electricity costs. Therefore, effectively reducing the electricity costs of vertical farm operations will be the key to their success or failure.
LSTM Neural Network with Parallel Swarm Optimization Algorithm for Multiple Regression Prediction
Authors: Pan Jeng-Shyang , Wang Wei , Chu Shu-Chuan , Shao Zhi-Yuan , Yang Hong-Mei
Published: December 2024

Multiple regression prediction can be applied to many applications, including predicting market prices, weather conditions, and so on. In recent years, the use of neural network models to deal with some problems related to multiple regression prediction has been proposed. The accuracy of prediction with long short-term memory (LSTM) neural network will be affected by the model parameters. If the parameters are adjusted according to human experience, there will be some limitations. In this paper, we propose a method to optimize multiple regression prediction of LSTM neural networks with a gannet optimization algorithm (GOA) modified by parallel communication strategies. The method optimizes the three parameters of the count of nodes in the hidden layer, training epochs, and learning rate of the LSTM neural network by the parallel gannet optimization algorithm (PGOA) to improve the accuracy and reliability of the prediction. The data results from the 28 benchmark functions tested by CEC2013 show that PGOA is more capable of finding the optimal solution compared to other algorithms. The accuracy of the PGOA-LSTM model and other models is tested with two datasets. The experimental results show that the PGOA-LSTM model predicts the data with higher accuracy than other models.
BICASH: BERT-based Integrated Analysis of Campus Sentiment with Sequential Histories
Authors: Hou Qing , Liu Bowen
Published: December 2024

In the era of digital communication, social media and online platforms have become prevalent channels for expressing emotions and opinions, particularly in campus communities where students frequently share their daily lives, learning experiences, and emotional states. Accurately identifying the sentiment of students’ comments is crucial for analyzing their current psychological state. However, traditional sentiment analysis methods mainly focus on the explicit content of texts, often overlooking the potential impact of a user’s past emotional expressions on their current emotional state. Therefore, this paper introduces BICASH, a novel sentiment analysis method based on user historical sentiment analysis. This approach assists in more accurately judging the sentiment of current comments by using the BERT model for preliminary analysis of current sentiment, and the LSTM model to capture the sequential relationship between historical comments, thus refining the assessment of current sentiment. We conducted experiments with this model on a campus comment sentiment analysis dataset. The results show that the BICASH model, utilizing 50 historical comments for sentiment extraction, achieves the best performance with a precision rate of 0.8311, recall rate of 0.7943, and F1 score of 0.8123, outperforming other baseline models.
Application of Improved Genetic Algorithms in Path Planning
Authors: Chen Di
Published: December 2024

Genetic algorithm, as a heuristic optimization technique, has achieved remarkable results in various fields, including path planning. Path planning, a fundamental challenge in automation systems and robotics, involves finding the optimal route from a starting point to a destination. This paper focuses on the application of improved genetic algorithms in path planning. Firstly, a brief overview of the fundamental principles of traditional genetic algorithms is provided, including operations such as individual encoding, selection, crossover, and mutation. Subsequently, a thorough exploration is conducted into how improved genetic algorithms can be introduced to address path planning problems. These enhancements encompass optimized population initialization strategies, novel genetic operation methods, and more effective fitness function designs. Furthermore, the discussion extends to how these improvements contribute to accelerating convergence speed, enhancing global search capabilities, and elevating the quality of solution outcomes. A substantial number of objective experiments have demonstrated the effectiveness of our approach.
Tai Chi, Qigong, and Their Impact on Weight Loss
Authors: McGee Robert W
Published: December 2024

This study examined the effectiveness of tai chi and qigong on weight loss by summarizing the results of several studies that compared these Chinese exercises. Some studies found that tai chi and qigong were significantly more effective in weight reduction than traditional exercises. One study specifically compared tai chi, ba duan jin, yijinjing, Shaolin neigong, liu zi jue, and other exercises, revealing that certain exercises were better suited for specific outcomes. Tai chi was most effective at improving CD4+ and NK cell levels, while ba duan jin excelled at enhancing CD3+ and CD8+ cell levels. Additionally, Mawangdui Dao Yin and Da Wu exercises were shown to reduce triglycerides (TG), total cholesterol (TC), and low-density lipoprotein cholesterol (LDL-C), while also increasing high-density lipoprotein cholesterol (HDL-C) to some extent.
Lean Change Network Design and Activation
Authors:   Utah Valley University, Westover Jonathan
Published: December 2024

Organizational change initiatives often hinge on the effective design and activation of change networks - the interconnected web of individuals, teams, and units responsible for driving transformative efforts. By adopting a lean approach, leaders can streamline this process and foster greater agility. Key principles include customer-centric network mapping to understand stakeholder needs, a minimalist network structure to eliminate waste, and an agile activation strategy with iterative refinements based on continuous feedback. Practical examples from the retail and software industries demonstrate how lean change network design has enabled organizations to modernize operations, enhance customer experiences, and navigate agile transformations. Embracing a lean mindset empowers change agents, promotes cross-functional collaboration, and cultivates a culture of experimentation - critical capabilities for navigating the complexities of organizational change in today's fast-paced, digitally-driven business environment.
An unstoppable process: The exotic species Cardiocondyla obscurior Wheeler, 1929 (Hymenoptera, Formicidae, Myrmicinae) arrives in Morocco
Authors: Benyahia Yousra , Taheri Ahmed , El Ajjouri Bilal , Reyes-López Joaquín L.
Published: December 2024

This is the first report of the presence of Cardiocondyla obscurior in Morocco. This exotic species was collected from tree trunks in several public gardens in Tangier, bringing the total number of non-native tramp ant species documented in Morocco to 17. Originally, native to the Indomalayan region, C. obscurior has been progressively establishing populations in Europe and is now reported in the southwestern Mediterranean for the first time through our findings. The following is an updated list of non-native ants for Morocco.
Nuevas aportaciones para la fauna de Megachilidae (Hymenoptera, Apoidea, Anthophila) de Andalucía (sur de España)
Authors: Ortiz-Sánchez Francisco Javier , Ruiz de la Cuesta José Luis , Tianut Alberto
Published: December 2024

New data for the fauna of Megachilidae (Hymenoptera, Apoidea, Anthophila) of Andalusia (south of Spain)
La araña trampera Amblyocarenum walckenaeri (Lucas, 1846) (Araneae: Nemesiidae): reporte de un caso clínico por mordedura y nuevos datos sobre su biología
Authors: Hernández-Corral Jesús , Doménech Carles
Published: December 2024

The first clinical case resulting from a bite caused by a male of Amblyocarenum walckenaeri is provided with medical-biological purposes. Photos of both, the patient’s affected limb and the specimen that caused the bite, are included. The known geographical distribution in Spain of the species is reflected on a map and new data on its biology are added.
STRATEGIES AND CHALLENGES OF GROCERY TRADERS IN FACING ONLINE MARKET COMPETITION
Authors: Fauzan Najib  , Alwi Rifa’i  , Amanda Afriza Putri  , Tengku Muhammad Rafly Rachman
Published: December 2024

Pasar Simpang Limun, as one of the largest traditional markets in Medan, is facing significant challenges due to the emergence of online markets. Changes in consumer shopping patterns that now prefer online shopping have led to a decline in the turnover of grocery merchants in this market. Price competition with cheap imported products, a decrease in the number of customers, and limited adoption of digital technology are the main challenges for traditional traders. This research uses a descriptive qualitative approach with the methods of in-depth interviews, observation, and documentation. The research subjects were purposively selected grocery traders in Simpang Limun Market. The data was analyzed to identify the challenges faced by traders as well as the survival strategies they apply amidst online market competition. The main challenges faced by grocery merchants include price competition with online markets, a decrease in the number of customers, and a decrease in turnover. Their coping strategies include highlighting product quality, adopting digitalization such as cashless payments and local delivery services (Gojek/Grab), and focusing on holidays to increase sales. However, some merchants still rely on conventional methods without utilizing technology. Digitalization and diversification of sales channels are key to maintaining the competitiveness of traditional merchants. Government interventions, such as digital literacy training, subsidies, regulation of imported products, and provision of digital infrastructure, are needed to support the sustainability of traditional markets.