bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessing Climate Change Threats to the Marine Environment: An Application of the Ordered Logit Model
Authors:   Department of Agriculture, Food and Resource Sciences, University of Maryland Eastern Shore, Princess Anne, MD 21853, USA, Chi Yeong Nain
Published: October 2024

This study explores saltwater anglers’ perceptions of climate change threats to the marine environment, drawing on data from the 2013 National Saltwater Angler Survey. A multi-attribute framework is employed, and an ordered logit model is used to analyze responses captured on a Likert-type scale, which measures the perceived threat on a continuum from low to high. The empirical findings indicate that demographic factors, such as age, gender, income, education level, and geographic region, significantly shape anglers’ concerns regarding climate change impacts on marine ecosystems. Older anglers, for example, may perceive the threat differently compared to younger ones, while regional variations highlight diverse environmental awareness across the country. These results offer valuable insights into how saltwater anglers view marine environmental risks linked to climate change. The findings provide a foundation for designing more targeted marine fisheries management and communication campaigns that address specific demographic groups’ concerns about climate-driven environmental changes.
THE METHOD FOR THE PROJECTIVE DISTORTIONS COMPENSATION
Authors:   Ulyanovsk State Technical University, Belov A.A. , Tashlinskii A.G. ,   Ulyanovsk State Technical University
Published: October 2024

The method for compensation of the projective distortions of a flat image is proposed. The method is used for reducing computional operations during the usage of the digital image processing algorithms and for getting a regular image grid.
A UNIVERSAL LOGIC MODULE FOR REPRODUCING FUNCTIONS OF MULTIVALUED LOGIC
Authors:   Ulyanovsk State Technical University, Lyubetskiy D.S. , Andreev D.V. ,   Ulyanovsk State Technical University
Published: October 2024

A schematic solution of a universal logic module with a multiplexer structure designed for logical processing of multivalued data is proposed.
SIMULATION OF THE INFLUENCE OF THE SHIELDING ENCLOSURE ON THE CHARACTERISTICS OF INTERFERENCE PROTECTION STRUCTURES WITH MODAL DECOMPOSITION
Authors:   Tomsk State University of Control Systems and Radioelectronics, Chernikova E.B. , Zabolotsky A.M. ,   Tomsk State University of Control Systems and Radioelectronics
Published: October 2024

The results of the development of geometrical mathematical models to take into account the influence of the shielding enclosure on the maximum amplitude at the output of interference shielding structures with modal decomposition are presented. Simulation and evaluation of the characteristics of reflection symmetric structure at different shield connections with the help of the developed mathematical model is carried out.
ELECTRICAL CHARACTERIZATION OF GATE-ALL-AROUND FIELD-EFFECT TRANSISTOR WITH HZO AND HfO2 FERROELECTRICS
Authors:   Belarusian State University of Informatics and Radioelectronics, Lovshenko I.Yu. , Volcheck V.S. ,   Belarusian State University of Informatics and Radioelectronics, Novikov P.E. ,   Belarusian State University of Informatics and Radioelectronics, Volchhik K.O. ,   Belarusian State University of Informatics and Radioelectronics
Published: October 2024

A technique for modeling the input electrical characteristics of a silicon gate-allaround field-effect transistor with HfO2 and HZO ferroelectrics was presented. A dielectric hysteresis loop was calculated for this device.
LANGMUIR-BLODGETT THIN STRUCTURES FOR MODERN ELECTRONICS
Authors:   Saratov State University, Karatyshova T.Ya. , Mironyuk V.N. ,   Saratov State University, Tkachev D.V. ,   Saratov State University, Glukhovskoy E.G. ,   Saratov State University
Published: October 2024

The results of obtaining Langmuir-Blodgett film structures based on a redox polymer with a thickness of about several tens of nm are presented. It is shown that the conductivity values are consistent with the number of layers included in the film structure, and the effect of oxidative transitions of the polymer is also shown. In this way, the conductivity in the components of the finished electronics element can be adjusted.
TUNABILITY OF COMB SPECTRA IN A RING FIBER RESONATORS WITH AN ACTIVE PHOTONIC CRYSTAL ELEMENTS
Authors:   Ulyanovsk State University, Abramov A.S. , Korobko D.A. ,   Ulyanovsk State University, Fotiadi A.A. ,   Ulyanovsk State University,   Optoelectronics and measurement Techniques unit., University of Oulu, Finland,   University of Mons, Belgium
Published: October 2024

We have considered the possibility of using harmonic mode-locked ring resonators as all-fiber oscillators with a tunable comb spectrum. We have proposed a scheme for generating picosecond pulses with a controlled sub-terahertz repetition rate from the original continuous radiation with weak amplitude modulation.
SPIN PUMPING IN YIG/PT STRUCTURES UNDER CONDITIONS OF LOCAL NON-UNIFORM MAGNETIC FIELD
Authors:   Saratov Branch of the Kotelnikov Institute of Radioengineering and Electronics of Russian Academy of Sciences, Seleznev M.E. ,   Saratov State University,   Yuri Gagarin State Technical University of Saratov, Nikulin Yu.V. ,   Saratov Branch of the Kotelnikov Institute of Radioengineering and Electronics of Russian Academy of Sciences,   Saratov State University, Dudko G.M. ,   Saratov Branch of the Kotelnikov Institute of Radioengineering and Electronics of Russian Academy of Sciences, Sakharov V.K. ,   Saratov Branch of the Kotelnikov Institute of Radioengineering and Electronics of Russian Academy of Sciences,   Saratov State University, Khivintsev Yu.V. ,   Saratov Branch of the Kotelnikov Institute of Radioengineering and Electronics of Russian Academy of Sciences,   Saratov State University, Kozhevnikov A.V. ,   Saratov Branch of the Kotelnikov Institute of Radioengineering and Electronics of Russian Academy of Sciences, Visotskii S.L. ,   Saratov Branch of the Kotelnikov Institute of Radioengineering and Electronics of Russian Academy of Sciences,   Saratov State University, Amakhanov G.M. ,   Saratov Branch of the Kotelnikov Institute of Radioengineering and Electronics of Russian Academy of Sciences,   Yuri Gagarin State Technical University of Saratov, Filimonov Yu.A. ,   Saratov Branch of the Kotelnikov Institute of Radioengineering and Electronics of Russian Academy of Sciences,   Saratov State University,   Yuri Gagarin State Technical University of Saratov
Published: October 2024

Using the inverse spin hall effect, a study of spin pumping by running magnetostatic surface waves in YIG/Pt microstructures was carried out, where an Fe application was used as a source of a local non-uniform magnetic field. The results of measuring the frequency dependences of the EMF are presented. It is shown, that the Fe application leads to an upward shift in frequency and «bluring» of the EMF peak near the lo-frequency boundary of the magnetostatic surface waves – its width increases, the amplitude decreases compared to the case of the YIG/Pt structure without the application.
APPLICATION OF THE METHOD OF CIRCUIT DETERMINANTS TO THE ANALYSIS OF THERMAL EQUIVALENT CIRCUITS OF MULTI-ELEMENT ELECTRONIC DEVICES
Authors:   Ulyanovsk Branch of the Kotelnikov Institute of Radioengineering and Electronics of Russian Academy of Sciences, Kuzmin N.P. ,   Ulyanovsk State Technical University, Radaev O.A. ,   Ulyanovsk Branch of the Kotelnikov Institute of Radioengineering and Electronics of Russian Academy of Sciences
Published: October 2024

It is proposed to use the method of circuit determinants to calculate the parameters of the thermal model of an electronic device presented in the form of an equivalent electrical circuit. An example is given and the advantages of this approach are shown.
OSCILLATORY SYSTEM WITH CONTROLLED STIFFNESS FOR VIBRATION VISCOMETERS
Authors:   Ulyanovsk State Technical University, Borisov Y.S. ,   Ulyanovsk Branch of the Kotelnikov Institute of Radioengineering and Electronics of Russian Academy of Sciences, Trofimov D.B. ,   Ulyanovsk State Technical University,   Ulyanovsk Branch of the Kotelnikov Institute of Radioengineering and Electronics of Russian Academy of Sciences
Published: October 2024

A method for electrical control of the effective stiffness of an oscillatory system is proposed. The results of experimental studies of the proposed oscillatory system are presented. The possibility of using the proposed method in low-frequency vibration viscometers is shown.
COMBINED LAYERED FIBER-OPTICAL STRUCTURES AS A UNIVERSAL PLATFORM FOR CREATING ADDRED MICROWAVE-PHOTONIC SENSOR SYSTEMS
Authors:   Kazan National Research Technical University named after A.N. Tupolev – KAI, Agliullin T.A. , Sakhabutdinov A.Zh. ,   Kazan National Research Technical University named after A.N. Tupolev – KAI, Valeev B.I. ,   Kazan National Research Technical University named after A.N. Tupolev – KAI
Published: October 2024

The concept of combined addressed interferometric fiber structures (CAIFS) consisting of Fabry – Perot interferometers and fiber Bragg structures is presented. The prerequisites for creating CAIFS as a new class of fiber-optic sensing elements are shown, a classification of possible configurations of combined structures that can be used as sensing elements of various physical fields is given, and a universal approach to their modeling is presented.
SIMULATION OF VERTICAL TAKE-OFF AND LANDING UAV WITH «FLYING WING» AERODYNAMIC SCHEME
Authors:   Ulyanovsk Civil Aviation Institute, Sorokin D.V. , Morozov A.O. ,   University of Civil Aviation, Samokhina S.S. ,   Ulyanovsk Civil Aviation Institute
Published: October 2024

Abstract: The results of simulation modeling of vertical take-off and landing UAVs and assessment of operating conditions are presented; flight performance study. Proposed are collapsible take-off and landing sites based on composite materials.
Remerciements
Authors: Manga Idrissa
Published: October 2024

REMERCIEMENTS Mes remerciements vont à l’endroit de toute ma famille pour son soutien constant. Je rends hommage à ma mère qui nous a éduqués dans la droiture, l’humilité et la dignité. Cette recherche n’aurait pu être menée à terme sans le concours et l’aide du Professeur Mor Ndao. Mes remerciements les plus sincères s’adressent d’abord à lui qui a bien voulu diriger ce travail depuis ses balbutiements. Ses remarques, ses orientations méthodologiques, ses conseils et ses suggestions ont été d’une aide précieuse pour l’aboutissement de ce texte. Je remercie aussi le professeur Ousseynou Faye pour ses conseils et ses orientations à travers les multiples échanges que nous avions eus avec lui et le Pr Daha Chérif BA également. Je n'aurais garde d'oublier l’ancien directeur de l’ORANA, Thianar Ndoye, aujourd'hui disparu, qui avait toujours manifesté une bienveillante attention à mon travail. Mes remerciements à sa famille et sa fille Fatou Ndoye pour leur hospitalité. Ma pensée reconnaissante se reporte à l’Inspecteur de l’Enseignement moyen et secondaire (IEMS), mon oncle, M. Mamadou Diédhiou, pour sa disponibilité, son suivi, ses conseils, depuis le Collège jusqu’à nos jours. Mention spéciale à vous ! Je remercie mes instituteurs qui m’ont appris à lire et à écrire, particulièrement Mamadou dit Ambo Diédhiou. J’ai, comme tout chercheur, contracté une dette de reconnaissance à l'égard des archivistes, des bibliothécaires et documentalistes de l’ORANA : Mbaye Diagne, Alié Thiaw et Alassane Seye, des bibliothécaires de l’UCAD : Papa Mamadou Fall, Seydina Limamoulaye Diop et Benjamin Diouf et ceux de l’IFAN, tous m'ont guidé dans mes recherches avec une sollicitude réelle. Je remercie également tous les professeurs du département d’histoire d’avoir participé à notre formation académique depuis notre entrée à l’uni- versité. Si nous en sommes là aujourd’hui, c’est en partie grâce à eux. À tout le personnel administratif de ce département. À toutes et à tous disons merci.
Influencia de TikTok en la Intención de Uso Empresarial de la Generación Z de la Ciudad de Potosí, Bolivia: Un Análisis Mediante Ecuaciones Estructurales
Authors: Reynaga Marín Max Diego , Apaza Coro Omar Freddy , Zegarra Arce Samir José , Flores Lopez Jhovana
Published: October 2024

Este estudio analizó la influencia de TikTok en la intención de uso empresarial de la Generación Z en Potosí, Bolivia, aplicando un enfoque de ecuaciones estructurales basado en el Modelo de Aceptación de la Tecnología (TAM). Se identificaron cuatro factores clave: intención de uso, facilidad de uso percibida, utilidad percibida y masa crítica, con el objetivo de evaluar el impacto de TikTok como herramienta de marketing para las empresas locales. Se aplicó una encuesta a 107 personas, con edades entre 14 y 29 años, a través de cuestionarios adaptados del modelo TAM y medidos en una escala Likert de 1 a 5. El análisis de los datos, realizado mediante el software Smart PLS y la técnica PLS-SEM, permitió examinar las relaciones entre los factores propuestos. Los resultados revelaron que tanto la facilidad de uso como la utilidad percibida tienen un impacto significativo en la intención de uso de TikTok para fines empresariales, mientras que la masa crítica también mostró una influencia positiva. En conclusión, TikTok representa una plataforma con alto potencial para las empresas en Potosí, destacando la importancia de su adopción en estrategias de marketing digital orientadas a captar la atención de la Generación Z.
Medicina do estilo de vida: impacto da alimentação na saúde mental
Authors: Uhlig Sandrieli Carla , Souza Laiane Kelly Chaves de , Ferreira Kércia Carvalho , Miranda Yrla Ravena Viana , Paixão Katarina Matos , Petri Larissa Targa , Farias Tatiana Marins
Published: October 2024

Introdução: Observa-se um aumento na prevalência de transtornos mentais como depressão e ansiedade e o Brasil, segundo a Organização Mundial de Saúde, ocupa o 3º lugar dessa prevalência no mundo. Apesar dessas condições tratarem-se de uma disfunção da atividade cerebral, têm sido mostrado que o estilo de vida, a exemplo do padrão alimentar, pode contribuir para um quadro inflamatório crônico que tem relação com Doenças Crônicas Não Transmissíveis, incluindo transtornos mentais. Torna-se necessário investigar se a alimentação impacta na saúde mental, visto que, conhecer essa relação, pode contribuir com ações de prevenção em saúde para a população em geral. Objetivo: Identificar se há relação entre alimentação e saúde mental, a partir das hipóteses dos transtornos mentais. Metodologia: Revisão integrativa da literatura, no período entre 2018 e 2023, nas bases de dados: PubMed, Scielo, LILACS e Medline. Os termos utilizados foram “nutrição”, “estilo de vida”, “saúde mental”. Foram incluídos quinze artigos. Resultados: Os padrões alimentares saudáveis desempenham um papel importante na redução do risco de depressão e no controle de seus sintomas. Esses padrões, representados pela dieta predominantemente baseada em vegetais, estão associados a um risco reduzido de transtornos depressivos, de ansiedade e bipolar. Contudo, uma dieta ocidental rica em alimentos pró-inflamatórios corrobora para um quadro inflamatório que aumenta o risco de desenvolver esses transtornos. Os mecanismos de ação da dieta podem influenciar a saúde mental e cerebral os quais incluem modulação de vias envolvidas na  inflamação, estresse oxidativo, glutamatérgica, monoaminas, microbiota intestinal, eixo hipotálamo-hipófise-adrenal, neurogênese no hipocampo adulto e fator neurotrófico derivado do cérebro, metabolismo do triptofano-quinurenina, disfunção mitocondrial, epigenética, obesidade. Conclusão: Observa-se que a nutrição pode exercer impacto na saúde mental e, portanto, ser um fator protetor considerável em programas de atenção à saúde em políticas públicas para prevenir e tratar transtornos mentais.
Knowledge of Dentist of Hyderabad regarding Dental treatment of pregnant patients.
Authors: Sajjad Ali Darvesh  , Rida Batool  , Syeda Sadia Hassan  , Reshma Khatoon  , Zaheer Ahmed soomro  , Maham Shah
Published: October 2024

Objective: To evaluate the knowledge of dentists of Hyderabad about treatment protocols of pregnant patient.Methodology: This cross-sectional descriptive study was conducted from November 2023 to December 2023 in Hyderabad in collaboration with faculty of community dentistry, Liaquat University of Medical & Health Sciences Jamshoro. 200 dentists were contacted to participate in the study.Results: According to our study dentists revealed that antibiotic amoxicillin was used in pregnant patients were 56% penicillin 9.4% and clindamycin 23.3%. According to dentists’ knowledge safest trimester for dental treatment is 2nd trimester. Regarding restoration most of the dentist revealed that glass ionomer cement is the best for pregnant patients.Conclusion: We conclude that there is general lack of knowledge in dentist of Hyderabad regarding dental treatment of pregnant patients. Seminars, educational programs regarding dental treatment of pregnant patients should be arranged so that our dentist must update their knowledge. There is great need of adding guidelines in dental curriculum in order to reduce the risk of any mishap.
Key words: KAP, Dentist problem, Pregnant ladies. Hyderabad.
To evaluate the changes in Biochemical parameters of Breast cancer patients’ during treatment at Larkana Sindh.
Authors: Sikandar Khatoon Seelro  , Mahak Memon  , Afsheen Shah
Published: October 2024

Objective: To evaluate the changes in blood chemistry of breast cancer patients while under treatment at Larkana Institute of Nuclear Medicine and Radiotherapy (LINAR) Larkana, Sindh, Pakistan.Methodology: The present study was conducted on the two hundred Breast cancer patients and divided them in four groups on the basis of their treatment; age ranges between 20-70 years. Demographic characteristics of patients and blood samples were collected for biochemical parameters i.e., Electrolytes (Na+, k+, CI-, HCO3-), Calcium, Urea and Creatinine. Patients’ data was divided in groups on the basis of their treatment.Results: Present study focused on analysis of biochemical parameters of breast cancer patients during treatment. 36% of patients suffering from Breast cancer have been belonging to age group 41-50 years; whereas 11% risk was also found in age group 20-30 years which is highly alarming. Urea & Creatinine was found highly significantly increased in all groups; this is indication of poor blood flow to kidneys and threat of renal failure.Conclusion: Hyponatremia, hyperkalaemia, hypochloraemia and hypercalcemia was found in patients. Increased level of urea & creatinine is a big threat for renal failure in breast cancer patients. Chemotherapy with Radiotherapy and Surgery group was more prone to electrolytes imbalance.
Keywords: Breast cancer, Chemotherapy, Radiotherapy, Electrolytes, Treatment.
Blood Donation awareness and implementation among Undergraduate Medical Students of Sindh, Pakistan.
Authors: Kanwal Abbas Bhatti  , Dilshad Fatima  , Hassamullah Shaikh  , Fahmida Gul  , Nayab Qazi  , Barkha Goswami
Published: October 2024

Objective: To determine the knowledge and practice of blood donation among undergraduate students.Methodology: This descriptive study was conducted at the Liaquat University of Medical and Health Sciences, Jamshoro Pakistan from September 2021 to December 2021. A convenient sampling technique was applied for collection of sample comprised of undergraduate medical students of all disciplines and batches. All the participants were interviewed by using a validated questionnaire. The analysis was carried out with SPSS 22.0.Results: Out of 374 respondents, 324 (86.6%) complied with the inclusion criteria. All 324 (86.6%) were non-blood donors; although majority is familiar with necessity of blood donation for the community. Among total population115 (35.5%) had no specific reason as their primary barrier towards blood donation, followed by 96 (29.6%) health-related issues. However, the most common motivation for 156 (48.1%) was approved certifications.Conclusion: Medical students were revealed to have an excellent primary understanding of blood donation. It is necessary to organize blood donation camps on university campuses and increase help calls.
Keywords: Blood donation; KAP Study; Knowledge; Practice; Undergraduate students.
Alcoholic Hepatitis: A Paradigm shift of Prevention and Treatment Analyzed at Cellular level by Histo/Pathological Micrometric Assessment.
Authors: Raja Faisal Zulfiqar  , Muhammad Yousuf Khoso  , Farheen Hameed  , Adeel Zafar  , Zen-ul-Abideen  , Raheela Adil
Published: October 2024

Objective: To evaluate role of Vitamin C and Naproxen in Alcohol-induced liver toxicity by micrometric technique (hepatocyte count, size and nuclear diameter) in albino rats.Methodology: This experimental interventional study was conducted at the sheikh Zayed medical college and hospital Rahim yar khan from December 2022 to March 2023. 60 albino rats with equal gender distribution were selected based on the random probability sampling technique and placed in three groups of 20, again with an equal gender distribution (1:1). Group A (positive control) was given purified Ethanol for 10 days., Group B was given Vitamin C and NaproxenProphylaxis for 7 days and later intoxicated with Ethanol for 10 days and Group C was simultaneously Administered Vitamin C, Naproxen, and Ethanol for 10 days. The hepatocyte count, size and nuclear diameter of all the groups were recorded by micrometric technique using ocular and stage micrometric scales. Data analysis was conducted using SPSS 24.0 and P-Value of ≤0.05 considered Statistically Significant.Results: Group A animals experienced decreased number of hepatocyte count, increase in size of cell and decrease in nucleus size; Group B showed similar picture as group “A” but less in intensity and Group C showed nearly normal hepatic architecture with hepatocyte count, size and nuclear size close to normal ranges.Conclusion: The anti-oxidative and anti-inflammatory effects of Vitamin C and Naproxen demonstrated significant hepatoprotective effects on liver histologic architecture, providing safety from alcohol-induced liver injury.
Keywords: Naproxen, Prophylaxis, liver toxicity, alcoholic liver disease, vitamin C.
THE RELATIONSHIP BETWEEN SELF-ESTEEM AND RESILIENCE IN PRISONERS IN CORRECTIONAL INSTITUTIONS FEMALE CLASS II B PADANG
Authors: Husen Nurul , Aulia Fara
Published: October 2024

Correctional institutions are institutions used to train and guide law violators. Inmates during their prison period experience problems such as inner conflict, trauma, difficulty adapting, unstable emotions and anxiety. To be able to survive and adapt during the prison period inmates need the ability to adapt and overcome various problems that arise which are made with resilience, one of the factors that affect a person's resilience is self-esteem. Therefore, this study aims to see the relationship between self-esteem and resilience in female inmates of class IIB Padang. This study uses a quantitative research method with a correlational approach. The number of samples in this study was 53 inmates who were selected using purposive sampling techniques. Data collection was carried out using the resilience scale and self-esteem scale from Karimah (2022). The data analysis in this study uses product moment correlation analysis with the help of SPSS.26. The results of this study show that self-esteem has a relationship with resilience in inmates in class IIB Padang women's correctional institution.
Advanced Quantitative Research in Academia: Techniques in Meta-Analysis, Systematic Review, and Bibliometrics
Authors: Krishna Pasupuleti Murali
Published: October 2024

Abstract: This chapter delves into advanced quantitative research techniques pivotal in modern academia, focusing on meta-analysis, systematic reviews, and bibliometric analysis as core methods for evidence synthesis, trend identification, and impact assessment. Meta-analysis is discussed as a statistical approach that consolidates data from multiple studies to provide robust insights, while systematic reviews are introduced as structured methodologies for rigorously summarizing research on specific topics. Bibliometric analysis offers a quantitative lens for evaluating scholarly impact, mapping research trends, and understanding collaboration patterns. Each technique is detailed with its unique applications across fields, along with best practices, challenges, and ethical considerations. Case studies further illustrate how these methodologies enhance academic rigor, facilitate interdisciplinary research, and support evidence-based decision-making. The chapter also explores emerging trends, such as AI-enhanced bibliometrics and automated systematic reviews, highlighting the transformative potential of these methods to advance research integrity and efficacy. Keywords: meta-analysis, systematic review, bibliometrics, quantitative research, evidence synthesis, academic impact, trend identification, research synthesis, scholarly assessment, interdisciplinary research, AI-enhanced bibliometrics, automated reviews, academic rigor, research integrity, evidence-based decision-making.
Autonomous Drone Swarms in Action: AI for Mission Coordination and Adaptive Navigation
Authors: Krishna Pasupuleti Murali
Published: October 2024

Abstract: This chapter delves into the transformative role of artificial intelligence in enabling autonomous drone swarms to perform complex, mission-critical tasks through coordinated action and adaptive navigation. It explores foundational concepts of swarm intelligence, multi-agent reinforcement learning, and decentralized communication, which allow drones to operate collaboratively in dynamic environments. Key areas include mission planning, real-time decision-making, energy-efficient flight strategies, and advanced pursuit-evasion tactics. Through practical applications in disaster response, precision agriculture, and border security, the chapter demonstrates how AI-driven drone swarms enhance mission effectiveness, ensuring rapid, adaptable responses to changing scenarios. Additionally, the chapter addresses the ethical considerations and deployment challenges associated with autonomous swarms, offering insights into the future of AI in real-world drone applications. Keywords: autonomous drone swarms, artificial intelligence, mission coordination, adaptive navigation, swarm intelligence, multi-agent reinforcement learning, decentralized communication, energy efficiency, pursuit-evasion, disaster response, precision agriculture, border security, ethical considerations, deployment challenges, AI-driven applications.
AI-Enhanced Virtual Reality: Transforming Immersive Training and Simulation for Real-World Skill Development
Authors: Krishna Pasupuleti Murali
Published: October 2024

Abstract: This chapter explores the transformative integration of artificial intelligence (AI) with virtual reality (VR) to create immersive training and simulation environments that enhance real-world skill development. By harnessing AI's adaptive capabilities, VR simulations can provide personalized learning paths, real-time feedback, and dynamic scenario adjustments, allowing users to gain practical experience in complex, high-risk environments safely. Key advancements in AI, such as natural language processing, computer vision, and reinforcement learning, power interactive VR training modules that support hands-on practice in fields ranging from healthcare to corporate training. Through case studies and emerging trends, this chapter examines the benefits, challenges, and future directions of AI-driven VR, emphasizing ethical considerations, accessibility, and responsible innovation for maximizing VR's impact on education and professional skill development. Keywords: AI-driven VR, virtual reality training, immersive simulation, skill development, real-time feedback, personalized learning, adaptive scenarios, high-risk simulation, natural language processing, computer vision, reinforcement learning, ethical AI, accessible training solutions, professional development, emerging technologies.
Machine Learning and Deep Learning in Financial Market Predictions: Strategies for Risk and Volatility Management
Authors: Krishna Pasupuleti Murali
Published: October 2024

Abstract: This chapter explores the transformative role of machine learning (ML) and deep learning (DL) in financial market predictions, focusing on strategies for effective risk and volatility management. Beginning with foundational ML models like linear regression, logistic regression, and decision trees, it introduces techniques for asset price and volatility prediction. Advanced DL models, including RNNs, LSTMs, CNNs, and GANs, are discussed for their unique capabilities in time-series analysis, sentiment-driven predictions, and market simulation. Emphasis is placed on ML/DL-based methods for volatility forecasting, portfolio optimization, and real-time sentiment analysis, showcasing their adaptability in high-frequency trading and adaptive risk strategies. The chapter also addresses challenges in model interpretability, data privacy, and algorithmic fairness, highlighting ethical considerations crucial for responsible AI implementation in finance. By reviewing cutting-edge advancements like quantum computing, federated learning, and hybrid models, it provides a forward-looking view of AI’s evolving role in enhancing predictive accuracy and resilience in volatile markets. Keywords: Machine learning, deep learning, financial market predictions, risk management, volatility management, asset price prediction, time-series analysis, RNN, LSTM, CNN, GAN, portfolio optimization, sentiment analysis, model interpretability, data privacy, algorithmic fairness, quantum computing, federated learning, hybrid models, AI in finance
Pengaruh Lingkungan Keluarga dan Fasilitas Belajar terhadap Hasil Belajar Siswa di SDN 5 Kalirejo
Authors: Suhadi Buang , Sari Yuli Ifana , Nawaji Nawaji
Published: October 2024

Keluarga merupakan lembaga pendidikan yang pertama dan utama dialami oleh siswa. Kedudukannya sebagai lembaga pendidikan yang bersifat kodrati menjadikan peranan orang tua memiliki peranan untuk bertanggung jawab memelihara, merawat, melindungi dan mendidik siswa agar bisa tumbuh dan berkembang dengan baik. Tujuan dari penelitian ini untuk mengetahui pengaruh lingkungan keluarga dan fasilitas belajar terhadap hasil belajar siswa di SDN 5 Kalirejo. Penelitian ini merupakan penelitian kuantitatif bersifat survey korelasional yang bertujuan untuk mengetahui pengaruh kondisi lingkungan keluarga dan fasilitas belajar terhadap hasil belajar siswa. Populasi dalam penelitian ini yaitu seluruh siswa kelas V SDN 5 Kalirejo yang berjumlah 53 siswa. Teknik pengambilan sampel yang digunakan dalam penelitian ini adalah total sampling. Jenis instrumen yang digunakan dalam penelitian ini yakni angket. Dengan teknik pengumpulan data yaitu angket dan dokumentasi. Teknik analisis data menggunakan uji regresi linier berganda. Berdasarkan hasil analisis data diperoleh diperoleh nilai F hitung sebesar 5.823 dengan probabilitas 0,005 yang berarti bahwa lingkungan keluarga dan fasilitas belajar secara bersama sama berpengaruh terhadap hasil belajar siswa. Berdasarkan dari uji regresi variabel lingkungan keluarga memperoleh nilai sebesar 3.142 dan nilai signifikan sebesar 0,003 yang menunjukan bahwa lingkungan keluarga berpengaruh secara signifikan terhadap hasil belajar. Dan hasil pengujian hipotesis koefisien regresi variabel fasilitas belajar memiliki nilai signifikan sebesar 0.040 maka fasilitas belajar berpengaruh signifikan terhadap hasil belajar dengan ini maka hipotesis keduanya diterima. Berdasarkan hasil penelitian tersebut disarankan bagi siswa dapat lebih meningkatkan hasil belajarnya terutama bagi siswa yang hasil belajarnya dibawah kriteria ketuntasan minimum yang telah ditetapkan guru bidang study. Dan bagi orang tua dapat memberikan perhatian yang besar pada anak dalam belajar.
A P-graph Approach for Planning Sustainable Rice Straw Management Networks
Authors:   Department of Chemical Engineering, College of Engineering and Agro–Industrial Technology, University of the Philippines Los Baños, College, Laguna, 4031, Philippines, Migo-Sumagang Maria Victoria , Promentilla Michael Angelo ,   Chemical Engineering Department, Gokongwei College of Engineering, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines
Published: October 2024

The Philippines produces up to 15.2 Mt of rice straw waste annually. Unmanaged rice straw waste disposal can lead to pollution from open field burning. On the other hand, rice straw agricultural waste can be used sustainably to produce valuable products such as mushrooms, fodder, pellets, or bioenergy, in a rice straw management system. Such systems can be optimized using Process Integration tools so that the raw materials are used efficiently at the maximum profit and with a minimal carbon footprint. The P-graph framework is an efficient Process Integration tool that solves Process Network Synthesis problems. A P-graph finds the optimal and suboptimal solutions for further analysis, which is useful in decision-making. This work developed a P-graph model for a rice straw management network considering the straw collection and storage steps and the production of both bioenergy and non-bioenergy products. The model can generate optimal and sub-optimal solutions (based on profit) and can simulate raw material disruption scenarios. The model is demonstrated through a case study on three rice straw fields with a maximum total rice straw yield of 96.84 t/yr. The case study considered the operating and raw material costs but did not consider the fixed and investment costs in the calculation of the profit. The results show that mushroom production using rice straw as substrate is the optimal solution with a potential profit of US$ 14 659.60/yr, followed by pellet production with a potential profit of US$ 12 627.90/yr. Disruption scenarios at reduced diesel, manual labor, and rice straw show that mushroom production is still the optimum solution, showing the robustness of the solution. This basic model shows that P-graphs can be applied to rice straw management networks to aid with decision-making for sustainability. Caution must be exercised as the results are context- and location- specific.
An Empirical Study on the Retail Price Threshold of Pork in the Chinese Market
Authors:   Agricultural Information Institute, Chinese Academy of Agricultural Sciences/ Research Center of Agricultural Monitoring and Early Warning Engineering Technologies of Beijing/ Key Open Laboratory of Intelligent Agricultural Early Warning Technologies and Systems, Chinese Academy of Agricultural Sciences/ Key Laboratory of Agricultural Monitoring and Early Warning Technology, Ministry of Agriculture and Rural Affairs, P.R. China, Beijing 100081, Wang Yu , Xu Shiwei , Li Ganqiong , Zhang Yongen , Zhang Xiaoyun ,   Institute of Agricultural Economics & Information, Xinjiang Academy of Agricultural Sciences, Xinjiang, 100089, Wang Shengwei ,   Agricultural Information Institute, Chinese Academy of Agricultural Sciences/ Research Center of Agricultural Monitoring and Early Warning Engineering Technologies of Beijing/ Key Open Laboratory of Intelligent Agricultural Early Warning Technologies and Systems, Chinese Academy of Agricultural Sciences/ Key Laboratory of Agricultural Monitoring and Early Warning Technology, Ministry of Agriculture and Rural Affairs, P.R. China, Beijing 100081, Yu Wen , Zhou Han
Published: October 2024

This study aimed to identify warning thresholds that can guide sellers in achieving reasonable profits while reducing buyer payment costs. Monthly price data from January 2009 to June 2023 and the two-regime threshold regression model were used for an empirical analysis of the asymmetric effects of the changes in household consumption under different pork price fluctuation levels to verify that the changes in household consumption have significant pork price fluctuation thresholds and threshold effects. It was found that as the fluctuation of pork prices approached the threshold, the temporary price-intervention policy (e.g., reference price) effect of adjusting prices diminished. An empirical analysis was conducted from the perspective of asymmetric effects of the upstream (feed and piglets), midstream (live pigs), and downstream (pork) of price transmission. The impacts of the products in the upstream and midstream of the industry chain on pork prices declined gradually, and among the products, the impact of the prices of feeds for fattening pigs on pork prices was found to be the weakest. Thus, the price intervention policy (e.g., reference price) based on the pork price threshold suggests that strengthening the supervision of the price fluctuations of midstream products (e.g., controlling the profit margin) when the pork price fluctuation is near the threshold (8.24%) would have more significant effects on all sides.
Impact of Mental Health on Academic Performance: A Study on the Risk of Failure in Higher Education
Authors: Inquilla-Mamani Juan , Quispe German Belizario , Chaiña-Chura Fermín Francisco , Flores-Mamani Emilio , Apaza-Ticona Jorge , Incacutipa-Limachi Duverly Joao
Published: October 2024

Building healthy spaces and adequate mental health in the university context is of vital importance for optimal, quality and warm academic development, both for students and teachers. The purpose of the research is to determine the state of mental health of students as a risk factor for academic failure in higher education. For the methodological procedure, the “GHQ-28 Mental Health Assessment Scale and Questionnaire” was applied and a socio-educational form was used to measure academic performance. The level of mental health of students was estimated by applying the principal component factor analysis (PCA). To determine the variance of the factor analysis, Bartlett's sphericity test was used, then the factorization process was carried out by the PCA method with a varimax rotation. They were selected for the sample by the simple random method, resulting in a total of 212 cases. The results obtained revealed that the “mental health status” variable has a significant effect on academic risk, with an estimated coefficient of -0.0878 and an associated p-value of 0.014. This indicates that as the mental health status of students decreases, an increase in the probability of repeating the academic semester is observed.
Mobile Adventure: RIAMOS to Strengthen the Development of Mathematical Logic and Language in Early Education in Rural Contexts
Authors: Rodríguez Diana Isabel Rodríguez , Quichimbo Danilo Marcelo Diaz , Eduardo David Eduardo Guillén , Correa Ximena Patricia Curay
Published: October 2024

In the development of the substantive function of the link with society of the National University of Education (UNAE), the Mobile Adventure: RIAMOS project arises from the career of Early Childhood Education (EI), with the aim of building experiential learning experiences, from educational contexts that promote the comprehensive training of children in early childhood in rural contexts. Therefore, this research analyses the impact of Aventura Móvil: RIAMOS on the development of the areas of logical-mathematical relations, comprehension and expression of language in early education in rural contexts. We worked with a methodology based on a mixed approach, with a prevalence of a qualitative, descriptive and interpretative approach and a quantitative approach focused on the pre- and post-tests applied to children in rural parishes in Cañar and Azuay. Mobile Adventure: RIAMOS is a space that integrates different actors: students, parents, authorities, teachers, students in training for comprehensive education. Through the pre-test, educational needs were identified, which were strengthened throughout the class sessions through the implementation of innovative planning, relevant to reality. The post-test reflected the advances and progress made by each child with the application of the didactic strategies and activities. In summary, Mobile Adventure: RIAMOS proves to be an effective initiative to enhance the reinforcement and integral learning of children in rural environments.
Research Competences Focused on Trainee Teachers in Early Childhood Education
Authors: Rodríguez Diana Isabel Rodríguez , Loor Maria Isabel González , Correa Ximena Patricia Curay , Peñas-Moreno Martha Cecilia
Published: October 2024

This study deals with the research skills of trainee teachers at the early education level at the National University of Education and their valuable contribution to the teaching- learning process of educational research oriented towards the development of their curricular integration work (ICT). The objective is to diagnose the research skills of students in the fifth and seventh cycles of the Early Education course, with the aim of aligning what is learnt in the classroom in the subject of research with the implementation of the end-of-cycle research work known as the Project for the Integration of Knowledge (PIENSA). The methodology applied is framed in a qualitative study, of an interpretative nature, with the use of an interview with the students under study. The results obtained are analysed by means of a first level codification based on the categories of knowledge, skills, abilities, attitudes and effective performance in the research process. The results show that research competences should be strengthened in a logical sequence in educational research that promotes continuous improvement and is adapted to the projects that are developed permanently in each cycle. Furthermore, the fact that there is a convergence of different criteria on the research competences developed prioritises the search for quality in research and the use of methods that contribute effectively to the fulfilment of the objectives set.
The Elevation of the Grassroots Economy Based on Local Resources to Create High Value for Sales in the Modern Trade Market: A Case Study of Krasang District, Buriram Province, Thailand
Authors: Panoram Preecha , Srisuk Kulganya , Suphakritsuwannakul Nitiroj , Jantaraj Bancha
Published: October 2024

The objectives of this research were to study the production problems, the factors influencing the production of community products based on local resources to enhance their value, and the strategies for elevating the grassroots economy based on local resources for sale in the modern trade market. The case study focused on Krasang District, Buriram Province. The sample group consisted of 50 community product entrepreneurs selected by purposive sampling and 100 consumers selected through the Taro Yamane formula. The tools used included questionnaires, and the statistical methods applied were percentage, mean, standard deviation, T-test, and F-test. The research findings revealed that the most common production problem was in the area of modern market sales (4.71), with the most critical issue being the distribution of products to purchasing markets (4.76). The factors influencing the production of community products based on production resources were generally rated at a high level (4.32). When examined in detail, the highest-ranked factor was consumer behavior, particularly the preference for unique, identity-driven products. The second-ranked factor was related to community products, specifically the creation of a brand reflecting the community's historical identity. Comparisons by gender and education level showed no significant differences in opinions, with statistical significance at the .05 level.
Speaking Skill Assessment Instrument Validity: An Investigation into Instructors’ Perceptions
Authors: Alshakhi Abdullah
Published: October 2024

To EFL learners, speaking the target language with satisfactory fluency is a highly significant aspect of learning the language. Assessment of learners’ progress and achievement in speaking skills is equally significant to identify the course of further action, whether it is for feedback, placement, or grading. At the English Language Institute (ELI), King Abdulaziz University in Saudi Arabia, learners’ proficiency in spoken English is assessed for end-of-the-term grading using Interview and Speaking Project as test instruments. The Interview questions are random, while the Speaking Project involves collection of materials on a chosen topic and report writing, followed by presentation and question-answer session. An empirical research study was conducted to examine ELI teachers’ perceptions on the reliability and validity of the two assessment instruments to accurately measure learners’ proficiency in speaking skill and meeting the requirements to reflect the learning outcomes designed for the speaking English course. The data were collected through a survey questionnaire and a structured interview. The surveyed instructors were also encouraged to express their opinions on the role of formative assessment in determining learners’ final grades in English speaking skill.
Effectiveness of The Early Start Denver Model for Children with Autism: A Narrative Review and Experiences for Viet Nam
Authors: Thi Thao Do , Anh Thu Nguyen Thi , Thi Nho Hoang , Thi Tan Nguyen
Published: October 2024

Early intervention for children with autism is crucial for their development and quality of life. Different early intervention models exist, including the Early Start Denver Model, which has scientific evidence and is included in Vietnam's Guidance Document on Diagnosis and Intervention for Children with autism spectrum disorders. Therefore, quantitative research design and descriptive statistics methodologies are used in the study to review the Denver early intervention model's effectiveness in treating children with autism worldwide and bring lessons learned for application in Vietnam. This narrative review analyses 16 scientific articles conducted in an international database. Research results show that the Early Start Denver Model is efficacious in improving core defects in children with autism, such as social skills, communication skills, and repetitive behaviors,…; using the Early Start Denver Model will improve parent-child interactions, reducing stress for parents during the parenting process. The findings also indicate lessons for applying the Early Start Denver Model for children with autism in Vietnam, considering factors like regional culture, educational facilities, and learning materials; motor skills and imitation skills should be combined with other therapies for better effectiveness.
Identifying and Handling Implementation Challenges of Self-Service Business Intelligence
Authors: Qudaisat Sameer Yousef , Al Talafheh Khairallah Mohd
Published: October 2024

Self-service has recently become a defining feature of business intelligence (BI) and analytics platforms. Self-service Business Intelligence (SSBI) enables business users to generate reports and analysis of business data without the intervention of IT department. It responds to a need to quickly create reports and analysis to make business-critical decisions. However, introducing SSBI poses implementation challenges, and many of the companies that have introduced it became dissatisfied with the implementation results. The purpose of the study is to create an understanding of how challenges related to SSBI implementation are handled for enabling a successful implementation. This leads to the question: How the challenges related to SSBI implementations are handled? To answer the question, six interviews were conducted at an anonymous company with respondents who in various ways have a connection to the introduction of SSBI. The result of the study is a model of the user-related challenges of introducing SSBI and the recommendations identified in this work for how they can be managed. By using these challenges when introducing SSBI, businesses can provide users with good conditions, which increases the possibility of introducing a successful and sustainable SSBI.