bluuebunny/crossref_metadata_2025 huggingface dataset:
Анизотропные механические свойства прозрачной древесины
Authors: Саргсян М. Л. , Акопян Р. С.
Published: November 2024

Работа посвящена моделированию механических характеристик прозрачной древесины. В исследовании для упрощения математического моделирования образцов прозрачной древесины использовалось предположение о поперечной изотропии. Простые эксперименты по растяжению прозрачного древесного шпона были теоретически проанализированы с помощью выражения плотности упругой свободной энергии. В результате получены теоретические соотношения, связывающие основные упругие константы с коэффициентами упругости, входящими в выражение плотности свободной энергии. Затем были рассчитаны коэффициенты упругости прозрачного образца древесины на основе бальзы. Эти коэффициенты позволяют дать механическую характеристику материалов, что важно с точки зрения их потенциального применения.
Սույն հոդվածը նվիրված է թափանցիկ փայտի հետաքրքիր մեխանիկական հատկությունների մոդելավորմանը: Տվյալ հետազոտության շրջանակում կիրառվել է լայնական իզոտրոպության ենթադրությունը՝ թափանցիկ փայտի նմուշների մաթեմատիկական մոդելավորման պարզեցման նպատակով: Իրականացվել է թափանցիկ փայտի նմուշի պարզ առաձգական փորձերի տեսական վերլուծություն՝ օգտագործելով առաձգական ազատ էներգիայի խտության արտահայտությունը: Արդյունքում ստացվել են տեսական արտահայտություններ, որոնք կապում են հիմնական առաձգական հաստատունները ազատ էներգիայի խտության արտահայտության մեջ մտնող առաձգականության գործակիցների հետ։ Այնուհետև մենք գնահատել ենք առաձգականության գործակիցները բալզայի հիման վրա պատրաստված թափանցիկ փայտի նմուշի համար: Այս գործակիցները հնարավորություն են տալիս իրականացնել այդ նյութերի մեխանիկական բնութագրում, ինչը կարևոր է դրանց հնարավոր կիրառությունների տեսանկյունից:
Transparent wood, which is a type of functionalized wood, is attracting increasing attention from the research community, given its enormous potential for applications in emerging technologies, as it combines high optical transmittance with impressive mechanical properties. The modelling of their interesting mechanical performance is the focus of this article. In this study, the assumption of transverse isotropy has been used to simplify the mathematical modeling of transparent wood samples. Simple tensile experiments of transparent wood veneer have been theoretically analyzed using elastic free energy density expression. As a result, theoretical relations are obtained linking the main elastic constants with the elasticity coefficients that enter the expression of the free energy density. Then we have estimated elasticity coefficients of a transparent wood sample based on balsa. These coefficients enable mechanical characterization of these materials, which is important from the perspective of their potential applications.
Рентгеновский фазовый контраст в сверхрешетке при наличии температурного градиента
Authors: Левонян Л. В. , Манукян А. М.
Published: November 2024

Рекомендовано в задачах рентгеновского фазового контраста при динамической дифракции сферической волны в качестве кристалла-анализатора использовать сильнопоглощающую пластину сверхрешетки с малым периодом при геометрии Лауэ. Выбором величины температурного градиента предлагается сфокусировать все сателлиты на выходной поверхности образца, руководствуясь формулой линзы для кристаллической среды. Описан способ регистрации рефлексов без дополнительного перемещения фазового объекта.
Ռենտգենյան փուլային ցայտունության խնդիրներում գնդային ալիքի դինամիկական դիֆրակցիայի ժամանակ որպես բյուրեղ-վերլուծիչ խորհուրդ է տրվում կիրառել փոքր պարբերությամբ ուժեղ կլանող գերցանցի թիթեղ Լաուէի երկրաչափության դեպքում: Ջերմաստիճանային գրադիենտի մեծության ընտրությամբ բոլոր սատելիտների կիզակետային պատկերները առաջարկվում է ստանալ նմուշի ելքի մակերևույթին, ղեկավարվելով բյուրեղային միջավայրի համար ոսպնյակի բանաձևով: Նկարագրված է ռեֆլեքսների գրանցման եղանակ առանց փուլային օբյեկտի լրացուցիչ տեղաշարժման:
In problems of X-ray phase contrast at dynamic diffraction of a spherical X-ray wave in Laue geometry, as an analyzer crystal it is recommended to use a highly absorbing superlattice plate with a small period. By choosing the value of the temperature gradient, it is proposed to focus all the satellites on the exit surface of the sample, guided by the lens formula for a crystalline medium. A method for recording reflections without additional movement of the phase object is described.
Emotional Intelligence and Study Habits as Predictors of Online Learning Motivation of Students in Filipino
Authors: Balano Claudine Jade Jaralba , Napil Melissa C.
Published: November 2024

The study aims to predict the level of emotional intelligence, study habits, and their significant influence on the online learning motivation of students in Filipino. Analysis was conducted on data collected from 251 STEM students in selected public Senior High Schools who still opted for online learning as delivery of instruction. The study used a quantitative research design and applied a descriptive-correlational technique. Meanwhile, the adopted survey questionnaire was validated and used to gather the data needed for the study. Results revealed through weighted mean that the level of emotional intelligence, study habits, and online learning motivation of students in Filipino were high. With the help of regression analysis, results proved that there was a significant relationship among variables. Thus, the study also showed that learners with high levels of emotional intelligence and study habits significantly influenced their motivation to learn in an online environment, which results in academic success. These findings indicate that a strong foundation in emotion and systematic study habits in learning plays a vital role in sustaining motivation and acquiring knowledge online. Therefore, students will be more engaged in an online learning environment and will be encouraged to learn intrinsically when their emotional intelligence and study habits are well-established. School management, teachers, and institutions can use these findings to understand, support, and make interventions for the development of motivation in the modern way of learning in the online world.
Candles of Change: Nonviolent Resistance in Sudan
Authors: Slom Fawzi Ahmed Abdullah , Ali Ibrahim Ali Babo , Omer Omer Elbashir Elhag
Published: November 2024

Overthrowing dictatorial regimes presents a formidable challenge, as these governments often maintain tight control over state mechanisms and media narratives; this paper explores the concept of nonviolent resistance, particularly within the context of the Sudanese revolution, utilising a qualitative research methodology and gathers qualitative data through interviews and focus groups with key participants in the Sudanese nonviolent movements. These include secondary data from online reports from civil society organisations of members of Resistance Committees and women activists. It also examines the tactics and strategies employed by nonviolent movements, including sit-ins, media campaigns, and the strategic use of the “butterfly effect,” demonstrating how small, coordinated actions can lead to significant societal change. The paper concludes with recommendations to strengthen civil society, enhance the capacity of Resistance Committees, and ensure women’s continued participation in the political process. These measures are essential for preserving the revolution’s achievements and supporting Sudan’s transition towards a more democratic and peaceful future.
Cryoprotective Effect of Zinc and Gold Nanoparticles During Cooling and Freeze-thawing on Marwari Stallion Sperm Parameters and Reactive Oxygen Species Production
Authors: Sultan Tipu , Chaudhary Ashok Kumar , Mehta JS , Mehra Rajendra , Manuja Anju , Talluri TR , Bhattacharya TK
Published: November 2024

BACKGROUND: Sperm cryopreservation is one of the most important procedures in the development of biotechnologies for assisted reproduction. Cryopreservation of stallion spermatozoa tends to cause plasma membrane damage due to the low ratio of cholesterol to phospholipids. Different
substances and compounds can be added to semen extenders to improve sperm quality. OBJECTIVE: To investigate the effect of supplementing semen extender with zinc nanoparticles (ZnONPs) and gold nanoparticles (AuNPs) on cooled and frozen-thawed spermatozoa of Marwari stallion. MATERIALS
AND METHODS: A total of 20 ejaculates from four Marwari stallions (five ejaculates from each) were collected. The gel free semen was extended with primary extender in equal volume and then divided in three equal groups, namely control (C), zinc (ZnO) and gold (Au), and centrifuged to obtain
a final concentration of 100-150 x10 6 mL -1 and then cryopreserved. Cooled and post-thaw semen evaluations were conducted for various seminal characteristics, viz. progressive sperm motility, sperm plasma membrane integrity, sperm viability, acrosome integrity and mitochondrial
membrane potential. RESULTS: Cooled semen (4ºC for 2 h) evaluation revealed nonsignificant differences among the groups (C, ZnO and Au) for all the semen quality parameters. However, at the post-thaw stage, progressive sperm motility, sperm plasma membrane integrity, acrosome integrity
and oxidative parameters were significantly (P≤ 0.01) higher in the ZnO group than Au and C. CONCLUSION: The addition of ZnO nanoparticles improves the post thaw quality of stallion spermatozoa by reducing the oxidative stress, but Au nanoparticles had no effect on cooled
as well as post-thaw semen quality.
A IMPORTÂNCIA DO RIO TIETÊ NA EXPANSÃO TERRITORIAL E ECONÔMICA DO BRASIL
Authors: Amorim Antonio Eduardo Assis , Rezende Líria Baptista de , Mazotti Dirceu , Santos Ana Laura , Caseiro José Antonio Galvão de Barros , Silva Vinícius Marmontel Soares da
Published: November 2024

Este artigo examina as viagens dos bandeirantes e monções pelo rio Tietê, com foco em seu impacto na expansão territorial e econômica do Brasil colonial. Utilizando uma abordagem de revisão bibliográfica, o estudo explora as transformações históricas da navegação indígena pré-colonial nos rios Tietê e Paraná, que serviam como importantes rotas de comunicação e subsistência para diversos grupos indígenas, como Tupis, Guainás, Kaingangues e Carijós. A chegada dos colonizadores europeus no século XVI reconfigurou essas rotas fluviais, principalmente através das expedições dos bandeirantes, que buscavam riquezas minerais e mão de obra indígena, e das monções, expedições comerciais que conectavam São Paulo a regiões distantes. A revisão revelou que o conhecimento indígena sobre navegação e o território foi essencial para o sucesso das expedições, que transformaram profundamente as dinâmicas econômicas e territoriais da região. Além disso, o artigo destaca os impactos sociais e culturais dessas incursões, incluindo a captura de indígenas, a destruição de missões jesuítas e o surgimento de novos centros econômicos ao longo das rotas fluviais, como Porto Feliz, de onde partiram as expedições. As principais conclusões indicam que as viagens pelo rio Tietê foram fundamentais para a interiorização do território colonial e para a criação de rotas comerciais duradouras, ao mesmo tempo em que resultaram em graves consequências para as populações indígenas. Este estudo contribui para o entendimento das complexas interações entre os bandeirantes, as populações indígenas e o território, ao mesmo tempo em que propõe novas direções para pesquisas futuras sobre o impacto ambiental e a infraestrutura logística das expedições.
Основні складові гостинності у готельно-ресторанній сфері
Authors: Вівсюк І. О. , Терещук О. С. , Лук’янець А. В.
Published: November 2024

Діяльність підприємств готельно-ресторанної сфери перебуває в умовах турбулентності під впливом зовнішніх чинників, таких як наслідки всесвітньої пандемії та початок повномасштабного вторгнення агресора на територію України. Тож, питання вирішення проблеми залучення нових споживачів та збереження існуючих шляхом удосконалення та підвищення рівня гостинності є актуальним для вивчення. Метою даного дослідження є поглиблення теоретичних  засад  поняття «гостинність» та визначення її основних складових у готельно-ресторанній сфері. Дослідження ґрунтується на системному  підході до вивчення, аналізу й узагальнення джерел щодо понять «індустрії гостинності» та «гостинність». Під час дослідження, задля досягнення мети, було застосовано низку  загальнонаукових  та  спеціальних  методів  пізнання, зокрема: систематизації та порівняння сутності поняття «гостинність» іншими науковцями, аналізу та синтезу задля визначення основних компонент гостинності у готельно-ресторанному господарстві та конкретизації задля охарактеризування встановлених складових. У ході дослідження було удосконалено дефініцію поняття «гостинність» як комплекс підходів до обслуговування споживачів в закладах готельно-ресторанного господарства. Також, було запропоновано структурувати гостинність на основі визначених основних складових, таких як: персонал, сервіс, безпека, атмосфера, інноваційні технології та послуга (продукт). Охарактеризовано кожний компонент гостинності у готельно-ресторанній сфері. Теоретичне значення дослідження полягає в поглиблені теоретичних засад поняття «гостинність» та визначення основних компонент, що формують даний феномен в діяльності підприємств готельно-ресторанного господарства. Методика оцінювання гостинності в кількісному вираженні та її вплив на економічну ефективність діяльності закладів залишається відкритим, що і визначено метою  подальших   наукових  досліджень. Тип  статті:  теоретична.
Expozé v múzeu a galérii: umenie-expresia-zážitok
Authors:   Katedra umenia a kultúry – oddelenie výtvarnej výchovy, Univerzita Komenského, Pedagogická fakulta, Valachová Daniela , Kováčová Barbora ,   Katedra špeciálnej pedagogiky, Katolícka Univerzita Ružomberok, Pedagogická fakulta
Published: November 2024

The aim of the text is to present the main lines of the project, which addresses the topic of gallery and museum pedagogy in a specific context. We present the content of the project, which addresses the topic of museum and gallery education in the context of undergraduate training. We address the theoretical anchoring of the topic in the territorial context and also in comparison with the situation in neighbouring countries. We present the main project aims and objectives in the context of the topic. At the same time, we present the main expected outcomes and benefits of the project in terms of social practice and benefits for the university training of art and gallery educators.
Navigating Modern Threats: The Imperative of Strengthening Cybersecurity
Authors:   Tech Evangelist, Sistla Swetha
Published: November 2024

Cybersecurity has become crucial in today's changing world to protect data and promote technological advancements, according to a recent online study. In a world where networks and IoT devices are increasingly interconnected and vulnerable, to attacks cyber threats have become a concern as discussed in the research paper I came across. The study delves into issues related to cybersecurity risks. Emphasizes the importance of implementing strong security measures to prevent unauthorized access and cyber breaches. The research explores studies by areas that need more attention while stressing the value of modern approaches, like artificial intelligence (AI) and machine learning (ML) in boosting threat identification and reaction capabilities. This article discusses the importance of cybersecurity, in maintaining stability and security through analysis. It emphasizes the need for companies to adopt technologies in their security measures for managing risks. The results of this article have implications, for fostering cooperation to tackle cybersecurity issues and contribute to securing a digital future. Keywords Cyber Security, Cyber Attacks, Challenges, Threats, Vulnerabilities
Enhancing Financial Literacy: A Survey of Online Resources and Practical Tools for Effective Financial Management
Authors: S. Khaple Prof. Arunadevi , Pillai Bhavana , Pinge Harshal , Pol Ankita , Tembe Yashada
Published: November 2024

Financial literacy is essential for effective personal finance management, yet many individuals struggle to navigate financial concepts. This paper presents an overview of two innovative platforms aimed at enhancing financial literacy. A comparative analysis of these platforms highlights their unique strengths; the personal finance website offers practical, real-time budgeting tools, while the game fosters interactive learning and collaboration. Both approaches effectively address different aspects of financial literacy but serve distinct user needs. Key findings suggest that integrating gamification into budgeting tools could enhance user engagement and learning retention. Keywords: Financial Literacy, Personal Finance, Customised Financial Plans, Web Application, Financial Stability, Financial Independence, Interactive Learning, Savings Planning
Impact of Natural Disasters on House Prices: A Global Analysis and Policy Implications
Authors: Jha Arpita
Published: November 2024

This study addresses the limited research on how natural disasters affect house prices by analyzing data from 117 countries between 2000 and 2018, using a panel regression approach to assess these impacts. The results reveal that natural disasters tend to decrease house prices, a finding that holds strong across multiple robustness checks. Specifically, geological disasters are found to have the most significant negative impact on property values. The study also distinguishes between the effects of small and large disasters, with both showing a clear downward effect on house prices. These insights carry important implications for policymakers and investors, as lower house prices in disaster-prone areas may indicate reduced consumption and investment due to the wealth effect, potentially leading to wider economic downturns. To support these regions, economic policymakers might consider measures such as low-tax policies or quantitative easing. The findings also highlight the urgent need for governments to address climate change impacts on the housing market by adopting sustainable technologies and renewable energy sources. Keywords Natural Disasters, House Pricing, Climate Change, Statistical model
Enhancing Oil and Gas Exploration and Development: The Role of Remote Sensing
Authors: Srimannarayana V.V. , G Veera Venkatesh
Published: November 2024

The oil and gas industry are getting weaker in terms of exploration and development; it demands a new generation of game-changing solutions as far as resource extraction is concerned with environmental footprints. Remote sensing technology has become an essential facilitator in this mission by giving detailed spatial data and information to support decisions. This article looks at the diverse ways in which remote sensing is used to contribute to oil and gas exploration, from geological mapping and resource assessment through environmental monitoring to regulatory compliance. Using satellite, airborne and geophysical data to identify the best drilling locations, conduct hydrocarbon potential assessment and monitor any environmental consequences is possible with modern technology its need for ground surveys and exploratory drilling. Remote sensing is also playing a key role in exploration activity and EOR by monitoring surface deformation. In the end, use of remote sensing does more than just make operations easier and lowers operational costs in the oil and gas industry and supports environmentally and risk mitigation. Keywords: Oil and Gas Exploration, Geological Mapping, Environmental Monitoring, Drilling Optimization, Remote sensing
SIGN-LANGUAGE TRANSLATOR USING MACHINE LEARNING
Authors: Bhamare, Pooja , Kumbhakarna, Aishwarya , Shinde Amruta , Take Prof. A. T
Published: November 2024

This research introduces a cutting-edge system designed to facilitate communication between individuals who are deaf and those who are hearing. By employing sophisticated machine learning algorithms and specific convolutional neural networks (CNNs), the proposed system can effectively sign language gestures into text or speech. A meticulously curated collection of sign language gestures serves as the foundation for training the model, ensuring its proficiency in accurately classifying several hand shapes and positions. To optimize classification performance, the system incorporates data preprocessing techniques that highlight the most distinctive features of the hands, thereby streamlining the computational process. This paper provides a comprehensive overview of the system's architecture, training methodology, and evaluation results, emphasizing the critical role of machine learning in developing inclusive communication tools that empower the deaf community. Future research initiatives will focus's on expanding the gesture dataset and refining real-time processing capabilities to further enhance the system's effectiveness and accessibility. Key Words: CNN, TensorFlow, Keras, NLTK
A Brief Analysis of MSME Sector of Sonipat and Panipat District of Haryana with Special Focus on Employment and its Contribution to the Economy of Haryana
Authors:   Department of Commerce, Kamala Nehru College, University of Delhi., Sonia Dr.
Published: November 2024

The paper provides a brief overview of the MSME sector of the Sonipat and Panipat districts of the Haryana. It provides sectoral overview and Government contribution to the MSME sector. The research is done by taking the secondary data and regression analysis is carried out to check the hypothesis set. It clearly marks out the industries according to the districts and their employment contribution to the state of Haryana.
LAWS PERTAINING TO E-COMMERCE IN INDIAN CONTEXT
Authors: Komal Ms , Ritu Ms , Uniyal Ms Sneha
Published: November 2024

We live in a digitally advanced age. There isn't a single person here without internet access. India's youth rely entirely on the Internet for all kinds of tasks, including shopping, paying bills, and education. The shift to online buying had a significant effect on traditional shopping methods. The main objective of this paper is to study the fundamental idea and legal framework of e-commerce in India's context. E-commerce , to put it simply, is the exchanging of both digital and physical goods and services over electronic networks and platforms as an alternative to traditional selling methods. By 2026, the Indian e-commerce market is projected to grow to a value of US$200 billion. India’s current e-commerce is growing by 21 % Compounded Annual Growth Rate (CAGR). The e-commerce business has seen increased investment as a result of the rise in digital literacy, which has also widened the base for new entrants. The advent of e-commerce in rural India has significantly transformed the lives of those living there. Not only did it demonstrate the viability of capturing the market, but it also gave rural residents employment opportunities. The world truly transforms into "Vasudev Kutumbakam'' with the aid of e-commerce. Nonetheless, the COVID-19 pandemic-related surge in internet sales and transactions provided fraudsters with a new window of opportunity. Frauds involving online shopping made about 38% of all frauds recorded worldwide in 2020. In order to counteract these kinds of frauds, the Indian government has created a number of rules and regulations. In order to protect internet users from identity theft, financial loss, exposure to pornographic content, asset seizure online, and other serious cybercrimes, the government passed the Information Technology Act of 2000. This act establishes legal measures to monitor and regulate the activities of computer devices that access the internet. However, these laws are insufficient to ensure that e-commerce runs smoothly. This research paper seeks to analyse the regulations and guidelines related to e-commerce in India. The paper also suggests that the realm of e-commerce should be the subject of more strict regulations. Keywords: Digitalization, Technology, E-Commerce.
A Study on Development in Engineering Properties of Dense Grade Bituminous Mixes with Coal Ash by Using Natural Fiber
Authors:   Department of Civil Engineering, MVR College of Engineering and Technology (autonomous)  Paritala, India., rao M. Venkateshwara , Ph.D Dr.P. Bala Krishna ,   Department of Civil Engineering, MVR College of Engineering and Technology (autonomous)  Paritala, India.
Published: November 2024

Coal-based thermal power plants in India produce significant waste, primarily fly ash and bottom ash, which poses environmental and health risks when disposed of in large quantities. This research explores the effective use of these waste products in bituminous paving mixes, substituting natural aggregates to conserve resources. Dense-graded bituminous macadam (DBM) specimens were prepared using natural coarse aggregates, bottom ash as fine aggregate, and fly ash as filler, with sisal fiber as a reinforcing additive. Varying percentages (0–1%) and lengths (5–20 mm) of SS1 emulsion- coated sisal fiber were tested to optimize the mix’s engineering properties. VG30 bitumen, chosen for its superior Marshall characteristics, resulted in an optimum binder content of 5.57%, fiber content of 0.5%, and fiber length of 10 mm, achieving a Marshall stability of 15 kN. Additional performance tests, including moisture susceptibility, indirect tensile strength (ITS), creep, and tensile strength ratio assessments, confirmed that the coal ash and sisal fiber mix significantly enhances pavement durability. This approach offers an eco-friendly and economical solution for bituminous pavement construction, addressing coal ash disposal challenges and conserving natural aggregates. Keywords: Bottom ash, Fly ash, Sisal fiber, Emulsion, Indirect tensile strength, Static creep test, Tensile strength ratio.
Revolutionizing Art and Design through AI: Balancing Innovation, Ethics, and Future Preparedness
Authors: B M Nagapushpa , P Kanchana , P Monish
Published: November 2024

This work examines AI's transformative role in art and design, emphasizing its function as a creative enhancer and innovation driver. Technologies like Cycle GAN and platforms such as DALL-E, Midjourney, and Leonardo.AI democratize artistic production, enabling broader access to advanced creative tools. While AI's involvement in generating original works pushes artistic boundaries, it also challenges traditional views on creativity, authorship, and ownership. To address these complexities, the study proposes ethical frameworks that prioritize transparency, fairness, and bias reduction. It underscores the importance of AI literacy in education to foster technical skills, creative thinking, and critical analysis of AI's societal impact. Ultimately, the study advocates a balanced approach to AI integration that nurtures innovation while honoring artistic integrity and building public trust in AI-driven art. Key Words: Artificial Intelligence, Art, Design, Ethics, Creative Innovation, Educational Integration, Cycle GAN
Claim Pricing in Claim Adjudication Process
Authors:   Centene Corporation (of Affiliation) Cliam Intake Systems(of Affiliation) Tampa, FL, USA, Vutukuri Praveen Kumar
Published: November 2024

The claim adjudication process is a critical function within healthcare organizations, determining the legitimacy and value of claims submitted for payment. This paper explores the pricing logic applied during claim adjudication, focusing on the algorithms and methodologies used to evaluate claims effectively. By analyzing the impact of pricing logic on the overall efficiency and accuracy of claim processing, this study aims to provide insights that can enhance healthcare reimbursement practices and improve operational efficiency. Keywords – Claim Adjudication, Claim Pricing, Healthcare Organization, Reimbursement, Algorithms.
Predicting production flow rates using artificial neural network – HST field case
Authors:   Hanoi University of Mining and Geology, Hanoi, Vietnam, Hung Nguyen Tien , Hoa Nguyen Minh ,   Hanoi University of Mining and Geology, Hanoi, Vietnam, Duong Vu Hong ,   Hanoi University of Mining and Geology, Hanoi, Vietnam
Published: November 2024

Oil production flow rate prediction is a critical aspect of oil and gas exploitation operations. Currently, flow rate forecasting is often estimated using theoretical or empirical models. Theoretical and empirical models have limitations. This study applies an Artificial neural network (ANN) for prediction flow rate. The study considered 256 datasets collected from six wells in the HST Field, Cuu Long basin. The predicted results obtained from the ANN model with eight neurons and back-propagation algorithm achieved high predictability with a strong correlation coefficient of 0.964 and a low RMSE of 32.612 bbl/d. Therefore, the developed ANN models have been promised as an effective tool in production flow rate forecasting in oilfields. Keywords: Artificial neural network; backpropagation algorithm; flow rate prediction; multivariate regression method; gas-lift.
The rationale for carbon dioxide injection into the high viscosity oil rock formations
Authors:   Ufa State Petroleum Technological University, Ufa, Russia, Makhmutov A. A. , Rabaev R. U. ,   Ufa State Petroleum Technological University, Ufa, Russia, Abdullah Neiser M. O. ,   Yemen Oil and Minerals Investment Company, Sanaa, Yemen, Sultanov Sh. Kh. ,   Ufa State Petroleum Technological University, Ufa, Russia
Published: November 2024

In this article the researchers have studied oil recovery processes under CO2 injection into non-homogeneous production banks with the use of a compositional hydrodynamic model. GHDM calculations has shown that at the reservoir conditions there will be mutual dissolution of oil and gas while injecting carbon dioxide. Oil-to-gas and gas-to-oil partial mass transfer will occur during oil displacement. The operational benefit will come as a result of reduced oil viscosity, greater cover ratio (reduced water-to-oil phase fluidity), and displacement coefficient (reduced surface tension). This benefit will amount to 8.5 tons of extra oil recovered. Keywords: porosity; boundary surface tension; geological hydrodynamic model; carbon dioxide.
Assessment of the influence of composition, properties and conditions of occurrence on oil quality based on fuzzy cluster analysis
Authors:   Institute of Oil and Gas, Ministry of Science and Education of the Republic of Azerbaijan, Baku, Azerbaijan, Efendiyev G. M. , Moldabayeva G. J. ,   Satbayev University, Almaty, Kazakhstan
Published: November 2024

The article is devoted to the analysis and assessment of the influence of parameters characterizing the composition, properties and conditions of oil occurrence on its quality. Using the principles of the theory of fuzzy sets, modeling of the dependences of the noted characteristics of oil on the complexity of its production was carried out. Data on the properties, composition and conditions of oil occurrence in the fields of Azerbaijan and Kazakhstan were collected. By implementing the fuzzy cluster analysis algorithm, fuzzy rules are formulated based on the «if..., then...» principle. The classification features are the composition, density and viscosity of oil, the permeability of the reservoir conditions. A brief analysis of existing works on the classification and assessment of the quality of oil from fields with hard-to-recover reserves showed the need to divide the total sample into homogeneous groups (clusters) according to the totality of the noted classification features characterizing the composition, properties and conditions of oil occurrences. A generalized indicator characterizing the quality of oil is proposed. Keywords: oil field; classification; fuzzy cluster analysis; hard-to-recover oils; sulfur concentration; density; viscosity; permeability.
The effect of e-service quality on customer satisfaction with repurchase intention as a moderating variable in the Soco by Sociolla application
Authors: Utami Tyas Widia , Hidayat Agus Maolana
Published: November 2024

This study investigates the influence of e-service quality on customer satisfaction with repurchase intention as a moderating variable, focusing on the SOCO by Sociolla app. Using a quantitative approach and a sample of 400 respondents, this research applies Partial Least Squares (PLS) analysis to assess the relationships among e-service quality, customer satisfaction, and repurchase intention. The results reveal that e-service quality significantly impacts customer satisfaction, indicating that higher service quality fosters customer contentment in digital shopping experiences. Additionally, repurchase intention slightly moderates this relationship, suggesting that consumers' likelihood to repurchase may influence their satisfaction levels derived from service quality. These findings highlight the need for e-commerce platforms, particularly in the beauty industry, to optimize e-service quality to boost satisfaction and repurchase rates. This research contributes to understanding digital consumer behavior and offers practical insights for enhancing service quality in online retail.
Mapping scientific research on employee motivation
Authors: Moudriq Faiçal Abou , Soudane Jalila Ait
Published: November 2024

This article provides a detailed analysis of publications on employee motivation over the last ten years based on data provided by Scopus. The study examines the distribution of publications by author, identifying prominent researchers and significant international collaborations. It also explores the main areas of research in employee motivation, analyzing dominant fields such as organizational psychology and human resource management. At the same time, the article assesses the contribution of different countries and highlights the most prolific regions. Particular attention is paid to funding sources, highlighting significant sponsors such as government institutions and international research agencies. The results show a trend towards increased institutional funding and greater collaboration between researchers. This analysis provides an overview of developments and trends in employee motivation research, offering valuable insights for future work.
A review of the role of artificial intelligence in Journalism
Authors: Banafi Wedad
Published: November 2024

Artificial intelligence (AI) technologies have revolutionized journalism in the digital era. This study is constructed on a general literature review revealing the role of AI in journalism and emphasizes the following key facets: (i) automated reporting, (ii) automated content creation, (iii) automated transcription and translation, (iv) data mining and analysis, (v) fact-checking and verification, and (vi) content personalization. The role of AI is observed in creating news reports like financial digests, sports outcomes, and weather updates, gearing up the automated content creation, transcribing the interviews, providing multilingual support for content translation, data mining and analysis, detecting fake news, personalizing the content in line with audience's preferences. The wide application of AI in journalism automates routine journalistic tasks, thereby improving efficacy and productivity and saving time and effort. Though AI is transforming journalism, there are several challenges facing journalism using AI, including biased algorithms, data availability and quality, data privacy and security, the need for training and education, transparency, and cost concerns. Journalists must be trained to identify and address issues such as data privacy, algorithmic bias, and the ethical implications of adopting AI in news reporting. News agencies should also implement strong data protection measures and transparent AI algorithms to overcome these challenges. They must attain a balance between considering user privacy and offering personalized content. It is paramount to have robust regulatory frameworks to oversee the utility of AI in journalism. Also, warranting ethical standards in AI implementation is crucial to preserving journalistic integrity.
Effects of job stress and emotional labor on depression in call-center workers
Authors: Kim Jung Im
Published: November 2024

The purpose of this study was to investigate the effects of job stress and emotional labor on depression among call center workers. Data collection was conducted from October 2 to October 30, 2023. The subjects were 175 workers at a large IT call center located in Seoul, Korea. Data was analyzed using SPSS version 23.0. As for data analysis, differences in job stress, emotional labor, and depression were analyzed using t-test and ANOVA. Pearson's correlation coefficient was used to determine the correlation between job stress, emotional labor, and depression. Finally, multiple regression analysis was conducted on factors affecting depression. As a result of this study, the factors affecting call center workers' depression were the number of family members living together (t=-2.650, p=0.009), job stress (t=3.743, p<0.001), and emotional labor (t=2.064, p=0.041), (F=10.306, p<.001). In other words, the greater the number of call center workers' family members living with, the lower the level of depression, the higher job stress and the higher the emotional labor, the higher the level of depression. In conclusion, workplaces should conduct a full survey on the level of job stress and emotional labor to reduce the level of depression among call center workers. In addition, measures are needed to reduce job stress, and depending on the results, professional counseling and healing programs are needed for workers who complain of mental illness.
Factors influencing EFL learners’ speaking fluency: A case study at a high school in Vietnam
Authors: Tran Du Thanh , Cao Bich Thi Ngoc , Dang Dung Thi Bao
Published: November 2024

This study investigates how four key factors - English exposure, learning environment, motivation, and teaching pedagogy - affect English speaking fluency among high school students, using both qualitative and quantitative research methods. The findings indicate that frequent exposure to English, an engaging learning environment, and effective teaching pedagogy significantly enhance students' speaking fluency and motivation. Qualitative results show that students who interact with English regularly, whether through classroom activities or extracurricular engagement, demonstrate better fluency and enthusiasm. A dynamic and supportive learning environment, combined with interactive teaching strategies, fosters higher levels of student participation and motivation. However, the study acknowledges several limitations. The small sample size used in the qualitative phase may not fully represent the broader student population, potentially impacting the generalizability of the findings. The reliance on self-reported data in the quantitative analysis introduces the possibility of bias, which could affect the accuracy of the results. The study also notes that focusing on a limited set of factors might overlook other influential elements such as individual learning styles or external pressures. Future research should aim to include a larger and more diverse sample, explore a broader range of factors affecting English fluency, and incorporate various activities and technological tools to address these limitations. By expanding the scope of research and incorporating these suggestions, more comprehensive strategies can be developed to improve English speaking fluency among students. This approach will provide valuable insights for educators and policymakers, assisting them in designing more effective language programs and interventions that enhance students' communicative competence and overall language proficiency.
Detection of decline in estimated glomerular filtration rate in patients with type 2 diabetes by cystatin C-based equations
Authors: Tran Tam Thai Thanh , Ha Tien Kim , Phan Nhut Minh , Le Minh Van , Nguyen Tin Hoang
Published: November 2024

BACKGROUND

Aging population is a significant issue in Viet Nam and across the globe. Elderly individuals are at higher risk of chronic kidney disease (CKD), especially those with diabetes. Several studies found that the estimated glomerular filtration rate (eGFR) determined using creatinine-based equations was not as accurate as that determined using cystatin C-based equations. Cystatin C-based equations may be beneficial in elderly patients with an age-associated decline in kidney function. Early determination of eGFR decline and associated factors would aid in appropriate interventions to improve kidney function in elderly patients with diabetes.

AIM

To determine the utility of cystatin C-based equations in early detection of eGFR decline and to explore factors associated with eGFR decline in elderly patients with diabetes.

METHODS

This cross-sectional study included 93 participants aged ≥ 60 years evaluated in Can Tho University of Medicine and Pharmacy Hospital between October 2022 and July 2023, including 47 and 46 participants with and without diabetes respectively, according to the American Diabetes Association criteria for diabetes. The kappa coefficient, Student’s t, Mann-Whitney, χ 2, Pearson’s correlation, multivariate logistic regression, and multiple linear regression analyses were employed.

RESULTS

The eGFRs were lower with the cystatin C-based equations than with the creatinine-based equations. Good agreement was found between the Modification of Diet in Renal Disease (MDRD) and CKD Epidemiology Collaboration (CKD-EPI) 2021 creatinine-cystatin C equations (kappa = 0.66). In the diabetes group, 30% of the participants had low eGFR. Both plasma glucose and glycated hemoglobin were associated with an increased risk of eGFR decline (P < 0.05) and negatively correlated with eGFR (P = 0.001). By multivariate logistic regression, total cholesterol, and exercise were independently associated with low eGFR. By multiple linear regression, higher plasma glucose levels were correlated with lower eGFR (P = 0.026, r = -0.366).

CONCLUSION

Cystatin C-based equations were superior in the early detection of a decline in eGFR, and the MDRD equation may be considered as an alternative to the CKD-EPI 2021 creatinine-cystatin C equation. Exercise, plasma glucose, and total cholesterol were independently associated with eGFR in patients with diabetes.
Outcomes of a 12-month course of early and late rituximab BCD020 biosimilar administration in juvenile systemic lupus erythematosus: A retrospective study
Authors: Kalashnikova Elvira , Isupova Eugenia , Gaidar Ekaterina , Lubimova Natalia , Sorokina Lyubov , Chikova Irina , Kaneva Maria , Raupov Rinat , Kalashnikova Olga , Aliev Damir , Gaydukova Inna , Kostik Mikhail
Published: November 2024

BACKGROUND

Juvenile systemic lupus erythematosus (SLE) is a severe, life-threatening disease. However, the role of rituximab in managing juvenile SLE remains undefined, although early biological intervention may improve disease outcomes.

AIM

To assess the differences in the outcomes of different types of rituximab administration (early and late).

METHODS

In this retrospective cohort study, the information of 36 children with SLE with early (less than 6 months from onset) rituximab administration (ERA), and late (more than 1 year) rituximab administration (LRA) was analyzed. We compared initial disease characteristics at onset, at baseline (start of rituximab), and at the end of the study (EOS) at 12 months, as well as outcomes and treatment characteristics.

RESULTS

The main differences at baseline were a higher daily median dose of corticosteroids, increased MAS frequency, and a higher Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) in the ERA group. No differences in the main SLE outcomes between groups at the EOS were observed. The part of lupus nephritis patients who achieved remission changed from 44% to 31% in ERA and 32% to 11% in the LRA group. Patients with ERA had a shorter time to achieve low daily corticosteroid dose (≤ 0.2 mg/kg) at 1.2 (0.9; 1.4) years compared to 2.8 (2.3; 4.0) years (P = 0.000001) and higher probability to achieve this low dose [hazard ratio (HR) = 57.8 (95% confidence interval (CI): 7.2; 463.2), P = 0.00001 and remission (SLEDAI = 0); HR = 37.6 (95%CI: 4.45; 333.3), P = 0.00001]. No differences in adverse events, including severe adverse events, were observed.

CONCLUSION

ERA demonstrated a better steroid-sparing effect and a possibility of earlier remission or low disease activity, except for lupus nephritis. Further investigations are required.
Spin-based Atomic Periodic Model—Beyond the Periodic Table
Authors: Teia Luis
Published: November 2024

The present article explores the potential re-arragement of all the periodic elements in terms of the spin of their valence electron, modeling them as up-spin or down-spin pointing triangles that together result in larger triangles precluding subshells, shells and the whole electron cloud (as a spin-balanced whole). Stratification of the elements according to their ratio of principal to azimuthal quantum number creates different angular cones, that not only align the elements into a compliante alternative interpretation to Mandelung’s rule, but ultimately result in a three dimensional periodic structure (that fans out and grows radially from the nucleus), resembling the shape of a flower. The model’s energetic umbrella predicts the elements Ununennium and Unbinilium. Electrical and thermal conductivities are mapped onto the new model, suggesting the existance of an instability (peak in 2D or axis in 3D) that governs the (non-) metal nature of the elements.
Preparation and evaluation of soft gelatin capsules loaded with astaxanthin, niacin and garlic oil for removal of plague in atherosclerosis
Authors: Kanakaraj Lakshmi
Published: November 2024

Atherosclerosis, a chronic inflammatory disease, is the leading cause of cardiovascular diseases. In atherosclerosis, the arterial walls are characterized by plaque deposits on the inside of arteries. This study focuses on preparing a fill formulation to remove plaque in atherosclerosis, then analyse the pharmaceutical ingredients used and later produce soft gelatin capsules. Soft gelatin capsules are hermetically sealed, one-piece capsule which has a suspension or semi-solid as fill. Oxidative stress and inflammation are factors responsible for the development of atherosclerosis. Hence, the active pharmaceutical ingredients (APIs) chosen for fill formulation need to possess effective anti-oxidant and anti-inflammatory properties. A novel combination of APIs: Astaxanthin, Niacin and Garlic oil were chosen for the removal of plaque in atherosclerosis. Each of these APIs is known to possess a specific function in the control of plaque development. The fill formulation prepared was analysed for its recovery using various analytical techniques like UV spectrophotometry, high-performance liquid chromatography (HPLC) and thin-layer chromatography (TLC). This fill formulation was encapsulated within the gelatin shell prepared to produce soft gelatin capsules. The encapsulated soft gelatin capsules were evaluated based on various parameters which include average net weight, disintegration test, loss on drying and dissolution.