bluuebunny/crossref_metadata_2025 huggingface dataset:
NOWCASTING OF WEATHER PARAMETERS AND WEATHER EVENTS: TOOLS, CAPABILITIES, AND CONSTRAINTS
Authors:   Hydrometeorological Research Center of the Russian Federation, KIKTEV D.B. , MURAV'EV A.V. ,   Hydrometeorological Research Center of the Russian Federation, SMIRNOV A.V. ,   Hydrometeorological Research Center of the Russian Federation
Published: November 2024

Specific features of nowcasting as a forecast of current weather, its needs for observational data, and main approaches to solving a forecast problem are discussed: from simple extrapolation to hydrodynamic models with assimilation of an extended set of high-resolution observations. Prospects of machine learning applications are assessed. Some peculiarities of the nowcasting of precipitation and wind, which are the parameters of particular interest for most of users, are considered. The methodological complexity of the seamless approach to the nowcasting problems, extremely limited deterministic predictability on convective spatiotemporal scales, and importance of using a probabilistic approach are noted. Some illustrations from the national nowcasting developments are presented.
Evaluating Risk to Koalas from Wild Canids in Southeast Queensland Using Remote Sensing and Machine Learning
Authors:   , Watkins Jonathan
Published: November 2024

Wild canids are a threat to koalas, making it essential to monitor their populations and their distribution in a landscape for effective conservation. This project utilised a machine learning model for species identification using camera traps and assessed the risk wild canids pose to koalas. The model identified koalas, wild dogs and red foxes with a moderate overall reliability, and the risk assessment revealed red foxes as the primary threat and wild dogs as a secondary stressor in the surveyed area. These findings highlight how machine learning can enhance monitoring and help land managers prioritise conservation efforts more efficiently.
Characterisation of Exosomes from Paediatric Burn Blister Fluids
Authors:   , Miloshevska Mijalkovska Marija
Published: November 2024

Paediatric burns represent a significant clinical challenge, and the analysis of burn blister fluids (BBF) is a valuable approach to understanding their biology. This study represents the first characterisation of the molecular composition of BBF derived exosomes, small extracellular vesicles secreted by all cells. Moreover, the results demonstrated distinct variation in the protein and genetic composition of exosomes from burns of different severities namely, superficial partial and deep partial burns. Taken together, these findings enhance our understanding of burn injury biology and may lead to future research into novel approaches to burn treatment and improved clinical outcomes.
О трехзначных логиках, сохраняющих промежуточное значение
Authors: Л.Ю. Девяткин
Published: November 2024

Статья посвящена классу трехзначных логик, которые сохраняют как классические, так и промежуточное значения. Ключевой вклад статьи — построение трехзначной логики с одним выде- ленным значением, эквивалентной по выразительным возможностям логике Pac. Этот результат получен с помощью использования альтернативного набора базовых операций — конъюнкции, дизъюнкции и отрицания, без импликации, присутствующей в стандартной формулировке логики Pac. Таким образом, в статье предложен вариант логики Pac и его пара с одним выделенным значением, имеющие общий язык и представляющие собой расширения конъюнктивно-дизъюнктивного фрагмента классической логики с помощью неклассического отрицания.
Поиск и отбор решений спора и его автоматизация на примере научного рецензирования
Authors: Е.Н. Лисанюк , Д.Е. Прокудин , И.Р. Баймуратов
Published: November 2024

Мы автоматизируем поиск и отбор решений спора на примере диалога между авторами и рецензентами рукописи, направляемой для публикации в научный журнал или для выступления в оргкомитет конференции. Мы рассматриваем научное рецензирование как разновидность аргументативного спора и формализуем его с помощью абстрактных аргументационных фреймворков с доверительной семантикой расширений. Разработанный нами общий метод генерации представлений абстрактных аргументационных фреймворков на языке OWL DL обеспечивает разрешение споров с помощью автоматического логического вывода и применяется для генерации OWL-представлений размеченных научных рецензий.
Двухсторонняя логика подтверждения и опровержения
Authors: А.А. Беликов
Published: November 2024

В данной работе предлагается логическая теория, оперирующая не одним, а двумя отношениями типа следования — отношением подтверждения и отношением опровержения. Эта теория может быть положена в основу структурированного подхода к аргументации, что позволяет произвести обобщение понятия аргумента и отношения «атаки».
Тождество слова как аргументационная проблема
Authors: М.И. Васильева
Published: November 2024

В статье обсуждается проблема выделения критериев для определения тождества слова. На сегодняшний день для определения тождества слова используются критерии структурного и семантического тождества. Данные критерии имеют широкие возможности применения, однако в статье приводятся примеры невозможности использования критериев семантического и структурного тождества в некоторых словоупотреблениях.
Обобщенные аналитические таблицы для нормальной модальной K-системы логики направленности изменения
Authors: Н.И. Стешенко
Published: November 2024

В статье рассматриваются обобщенные аналитические таблицы для модальной системы К логики направленности изменения (логика Роговского). Описываются аксиомы, правила вывода и семантика с использованием помеченных формул. Демонстрируется проверка общезначимости формулы T□ВA → В□A.
Рациональность иррационального выбора: логика дилеммы заключенного
Authors: Е.В. Каган , А.С. Рыбалов
Published: November 2024

работе рассматривается наблюдаемая иррациональность решений в ситуациях, описываемых как одношаговые игры двух игроков. Предлагаемое решение учитывает асимметрию в отношении игроков к собственным выигрышам и выигрышам соперников. Формализация принятия решений основана на некоммутативных операторах многозначной логики. Предложенный метод иллюстрируется примером игры дилемма заключенного.
О доказательстве лемматических силлогизмов
Authors: А.Н. Журавлев
Published: November 2024

Доказательство лемматических силлогизмов представляет собой увлекательное занятие, начиная с формализации и заканчивая выбором способа доказательства. Самым громоздким способом будут таблицы. Чуть менее — сведение к нормальному виду и так далее, в зависимости от выбора доказывающего. Предложенный ниже вариант прост и очевиден.
Метод решения обратных задач Смаллиана
Authors: А.С. Полушин
Published: November 2024

В данной статье рассматриваются обратные задачи Смаллиана о рыцарях и лжецах и предлагается метод их формализации и решения.
Assessing the Impact of Digitalization and Digital Payments in Advancing Financial Inclusion
Authors: Shair Waqas , Jabeen Farhat , Zafar Muhammad Bilal , Hassan Rizwan Ul
Published: November 2024

This study seeks to investigate the impact of digital resource accessibility and digital payment on financial inclusion in South Asia. The scope of this examination covers accessibility and utilization dimension of the financial inclusion. The accessibility in terms of account ownership and utilization in terms of formal savings and formal borrowing. The study uses Global Findex database 2021 and employs a Logistic regression model given the binary nature of the outcome variables. The aftermaths of the regression model suggest that age, gender, education, wealth and employment status significantly influence the indicators of financial inclusion. Findings indicate that access to mobile phone and internet has higher likelihood of financial inclusion in terms of owing a bank account, formal savings and formal borrowing. Moreover, engagement of individuals with digital payment systems like credit cards, debit cards, or making or receiving payment digitally correlates strongly with higher likelihood of financial inclusion. The findings of the study have implications in underscoring the importance of tailored policies that support financial inclusion.
Analysis of the Impact of Government Governance and Law on the Conceptualization, Creation and Structure of Digital Music from the Perspective of Local Self- Government
Authors: Dawei Tan  , Inlong Fong
Published: November 2024

In order to explore the role of local autonomy effect in the conceptualization, creation and structural perfection of digital music, the constraints of policies and laws on the conceptualization, creation and structure of digital music are analyzed. From the perspective of public management, this paper proposes three hypotheses. The role of local laws, regulations and local interventionist policies in promoting the concept and development of digital music, the acceptance and feedback of the conceptualization and creation of digital music by the public, the support of legal improvement, and the optimization of local governance structure. The results show that local autonomy is a prerequisite for the conceptualization, creation and structure improvement of digital music, and policies, laws and regulations have a positive effect on the effect of local autonomy. Therefore, local autonomy has a positive impact on the conceptualization, creation and structural perfection of digital music. Local policy governments should adopt intervention policies to strengthen the management and governance of digital music and restrain them through laws to lay the foundation for local governance and promote the effectiveness of local governance.
Listed Public Heritage or Shopping Mall?
Authors: Alves e Silva Renato
Published: November 2024

The recognition of 20th-century architecture in Brazil is still a field restricted to specialists, which makes the remaining assets of this collection susceptible to defacement or even destruction. The designation of the Lagoa Rowing Stadium as a historic landmark by the city of Rio de Janeiro gives us the possibility of reflecting on the existing dispute between the public interest, protected by the listing in 2005, versus the financial voracity of private groups toward the asset in question. Grotesque defacement was undertaken starting in 2003 with the approval of the State and city administrations, including the intent to turn the sports complex into a business complex, thereby distorting the original proposal from the 1950s.
Development of Technology for Cleaning Vehicle Radiators
Authors:   NPJSC «Abylkas Saginov Karaganda Technical University», SINELNIKOV Kirill , BAUROVA Natalia ,   Moscow Automobile and Road Construction State Technical University (MADI), PAK Igor ,   NPJSC «Abylkas Saginov Karaganda Technical University», SARSEMBEKOV Bauyrzhan ,   NPJSC «Abylkas Saginov Karaganda Technical University», KUKESHEVA Aliya ,   NPJSC «Abylkas Saginov Karaganda Technical University»
Published: November 2024

The most common and serious malfunction is engine overheating due to radiator clogging. This can be caused by improper vehicle operation or insufficient radiator cleaning during technical maintenance. The process of cleaning the tubes and internal cavities of the radiator is the most labor-intensive and involves the risk of damage, rendering it unusable. The article presents a technology developed by the authors for restoring the functionality of internal combustion engine cooling system radiators, based on a new method of cleaning the tubes and internal cavities of the radiator using ultrasound. The aim of the research is to develop a maintenance algorithm for engine cooling system radiators, determining the complexity and interdependence of tasks. Based on the analysis of the technological process of radiator maintenance, the authors have developed a list and sequence of tasks, as well as a network schedule for ultrasound cleaning of the vehicle's cooling system radiator.
National Fund in the Formation and Use of Financial Resources of Kazakhstan
Authors:   NPJSC «Abylkas Saginov Karaganda Technical University», DARIBEKOVA Aigul , DARIBEKOVA Nazgul ,   NPJSC «Abylkas Saginov Karaganda Technical University», TOGAIBAYEVA Lyussiya ,   NPJSC «Abylkas Saginov Karaganda Technical University», DARIBEKOV Serik ,   NPLC «Karaganda Buketov University»
Published: November 2024

The issues of formation and use of funds of the National Fund of the Republic of Kazakhstan as financial resources of the state, features of the formation and use of funds as financial resources of the state are considered. In addition, an analysis was made of the income from the use of funds in the National Fund of the State for the period 2019 – June 2022. A mechanism for managing the National Fund of the Republic of Kazakhstan is proposed, taking into account the strategic directions for the development of society. On the basis of the analysis carried out, measures are proposed to increase the investment attractiveness of the subsoil complex of Kazakhstan. In conclusion, mechanisms are given for improving the model of management and use of the funds of the National Fund of the Republic of Kazakhstan.
Actual Methods and Methods Motivation as the Main Element of the Personnel Management System
Authors:   NPJSC «Abylkas Saginov Karaganda Technical University», RAUANDINA Guldaray , NARZULLAEVA Gulchekhra ,   Bukhara State University, SIYAZBEK Aidyn ,   NPJSC «Abylkas Saginov Karaganda Technical University»
Published: November 2024

Labor resources are a special category in the composition of the economic resources of the enterprise. The high return on their use is largely determined by the conditions that are created at the enterprise for personnel. The effectiveness of involving workers in the production process is a consequence of the influence of a large number of various factors. Such factors include, for example, the conditions in which the work is carried out, the complexity and frequency of the operations performed are saturated in content. All this determines the level of labor costs and the results achieved.
Investigation of Additional Optical Power Losses Arising from Mechanical Bending of an Optical Fiber of the G.652 Standard
Authors:   NCJSC «S. Seifullin Kazakh Agro Technical Research University», MEKHTIEV Ali , ALKINA Aliya ,   NPJSC «Abylkas Saginov Karaganda Technical University», NESHINA Yelena ,   NPJSC «Abylkas Saginov Karaganda Technical University», KALIASKAROV Nurbol ,   NPJSC «Abylkas Saginov Karaganda Technical University», MUSAGAZHINOV Madiyar ,   NCJSC «S. Seifullin Kazakh Agro Technical Research University»
Published: November 2024

The article is devoted to the issues of creating an alternative to fiber-optic information transmission lines. One of the problems of the telecommunications systems of the Republic of Kazakhstan is considered – signal attenuation in FTT data transmission systems. The main idea of using an optical fiber of the G.652-656 standard, which is quite sensitive to bends, is described. Local enterprises have mastered the production of fiber-optic cables and patch cords based on the G standard.652. Bending causes a loss of light wave power, changes the phase of propagation of the mode and leads to signal attenuation, in which subscribers cannot work normally on the Internet. In this article, various types of micro-bends were simulated. Micro-bends of the optical fiber with a small radius leads to its damage. This situation occurs when the fiber optic cable installation technology is violated. The work carried out studies aimed at obtaining new scientific results related to the construction of characteristics of additional losses arising from the bending of OF depending on the number of angles, their degree and wavelength of optical radiation. Conclusions are presented on the further use for the development of sensors based on the control of additional losses during micro-bending, as well as the creation of information protection systems transmitted over fiber-optic lines. The research is aimed at developing software for the numerical calculation of additional losses with an assessment of the accuracy of constructing an approximation according to specified parameters: the number of bends, angle and wavelength of optical radiation propagating through the core of the OF.
Simulation of Hydrogen Production in an Alkaline Electrolysis System Connected to a Solar Photovoltaic Panel or Wind Turbine
Authors:   NPJSC «Almaty University of Power Engineering and Telecommunications named after  Gumarbek Daukeyev», SANATOVA Tota , BIKENOVA Asel ,   NPJSC «Almaty University of Power Engineering and Telecommunications named after  Gumarbek Daukeyev», BEGIMBETOVA Ainur ,   NPJSC «Almaty University of Power Engineering and Telecommunications named after  Gumarbek Daukeyev», SHABKHATOV Akylzhan ,   NPJSC «Almaty University of Power Engineering and Telecommunications named after  Gumarbek Daukeyev», ABZHAL Dana ,   NPJSC «Almaty University of Power Engineering and Telecommunications named after  Gumarbek Daukeyev»
Published: November 2024

This article relates to the field of research on the storage and production of renew able energy. One of the main obstacles to the rapid development of renewable energy sources is the production and storage of produced energy at a low price and with good efficiency. Hy drogen production from renewable energy sources is a promising solution. In this paper, the potential of hydrogen production by electrolysis from solar (photovoltaic) and wind renewable energy sources is estimated. The methodological approach used is based on modeling an al kaline electrolyzer connected to a solar panel or wind turbine. The simulation results obtained on the MatLab/Simulink platform show that the average hydrogen production potential is es timated at 0.55 m3/h for photovoltaic panel power, which corresponds to an average energy efficiency of 70%, and 0.675 m3/h for wind turbines, which corresponds to an average energy efficiency of 84%. These results show the need to promote this technology, the effectiveness of which can be improved depending on the choice of method.
Analysis of Existing Methods for Monitoring the Current of Partial Discharges of Suspended Insulators
Authors:   NPJSC «Abylkas Saginov Karaganda Technical University», ABISHEVA Dinara
Published: November 2024

An analysis of existing methods of monitoring partial discharge currents in isolation was carried out. The advantages and disadvantages of the proposed methods are presented. The negative factors of the influence of partial discharge currents on suspended insulators are described. The relevance of research for the creation of methods for monitoring the current of partial discharges of suspended insulators is substantiated. The requirements for the further development of partial discharge control methods are formulated.
Solid-phase Reduction of FexOy and MnxOy Oxides by Carbon Under Conditions of Low-temperature Firing of a Charge Based on Manganese Waste
Authors:   NCJSC «Kazakh National Research Technical University named after K.I. Satpayev», TAZHIYEV Yeleussiz , ARGYN Aidar ,   NCJSC «Kazakh National Research Technical University named after K.I. Satpayev», ZHOLDASBAY Erzhan ,   JSC «Zhezkazgan Baikonurov University», KURMANSEITOV Murat ,   NCJSC «Kazakh National Research Technical University named after K.I. Satpayev», KOISHINA Gulzada ,   NCJSC «Kazakh National Research Technical University named after K.I. Satpayev»
Published: November 2024

Based on complex analytical studies, including methods of atomic emission spectrometry with inductively coupled plasma and X-ray phase analysis of intermediate and final products, the material and mineralogical compositions of manganese wastes of the Dzhezdinsky GOK have been studied. It is shown that the low content of iron and manganese in waste determines the need for a preliminary operation for their enrichment. The mechanism of be havior of iron and manganese oxides under conditions of low-temperature firing of a charge composed on the basis of manganese waste has been studied. Based on thermodynamic calculations of reactions of reduction of iron and manganese oxides by carbon, the possibility of complete reduction of iron to metal from its higher and lower oxides is shown. Higher man ganese oxides are subjected to solid-phase reduction by carbon. Stable manganese oxide at the temperatures of firing to metal is practically not restored due to the positive values of the Gibbs free energy. To increase the iron content in the charge, it is necessary to provide for the addition of iron-containing waste with a high iron content to the charge, for example, rolling scale, etc. When arranging the final charge, it is necessary to take into account the optimal carbon consumption: carbon consumption should not exceed the stoichiometrically necessary amount for the reduction of iron and manganese oxides. The excess carbon not used for the reduction of MnO will remain in the charge, and will be fully used as a reducing reagent during the reduction melting. The metallized product obtained after firing must be subjected to gran ulation in order to obtain durable granular pellets, which will represent the final monoshift for the production of high-quality ferromanganese.
Analysis of Multiparameter Optimization Methods for Mechanical Processing of Parts
Authors:   NPJSC «Abylkas Saginov Karaganda Technical University», N. Nazarbayev Avenue, 56, Karaganda, Kazakhstan,, Zhetessova G , Zharkevich O ,   NPJSC «Abylkas Saginov Karaganda Technical University», N. Nazarbayev Avenue, 56, Karaganda, Kazakhstan,, Khrustaleva I ,   Peter the Great Saint Petersburg Polytechnic University, Polytechnicheskaya Street, 29, Saint Petersburg, Russia,, Kozhanov M ,   NPJSC «Abylkas Saginov Karaganda Technical University», N. Nazarbayev Avenue, 56, Karaganda, Kazakhstan,, Shakhatova Aliya ,   NPJSC «Abylkas Saginov Karaganda Technical University», N. Nazarbayev Avenue, 56, Karaganda, Kazakhstan,
Published: November 2024

In the modern world, digitalization has become an integral part of various sectors of the economy, including manufacturing enterprises. However, for the efficient operation and development of the production process, it is necessary not only to be able to use the latest technologies, but also to be able to analyze and optimize the available data. One of the most effective methods of data analysis and management is multicriteria analysis. This method allows you to take into account many factors when making decisions, which is important for production processes where there are many variables and constraints. At the same time, large volumes of data collected and stored by the enterprise help improve the quality of decisions made and increase the efficiency of the production process. Data analysis allows you to identify patterns, predict the behavior of processes, and subsequently optimize their operation.
Peremajaan Warung Kelontong Ke Arah Minimarket Modern Dengan Melibatkan Teknologi digital Untuk Meningkatkan Penjualan Pada Warung Chacha
Authors: Tito Anita Chrishanti Puteri
Published: November 2024

Hadirnya minimarket secara masif di daerah perumahan masyarakat, memberikan dampak yang cukup signifikan terhadap operasional warung kelontong. Warung yang tidak melakukan inovasi, termasuk digitalisasi tentunya sulit untuk bertahan, padahal industri rumah tangga warung kelontong memegang peranan penting dalam ketahanan perekonomian Indonesia. Warung Chacha adalah salah satu industri rumah tangga warung kelontong yang berada di kecamatan Cimenyan Kota Bandung, Jawa Barat dan sudah beroperasi selama 10 tahun. Namun hingga kini, kinerja yang didapat belum sejalan dengan harapan yang diinginkan. Kendati ingin meningkatkan penjualan, hadirnya minimarket modern yang merambah ke daerah perumahan masyarakat, justru memberikan dampak penurunan penjualan. Tujuan kegiatan ini dilakukan untuk memberikan pendampingan dan pembinaan kepada Warung Chacha dalam melakukan peremajaan warung kelontong ke arah minimarket modern dengan melibatkan teknologi digital untuk meningkatkan penjualan. Hal ini dilaksanakan sebagai upaya untuk bertahan dalam menghadapi kehadiran ritel modern yang telah memperluas skala dan eksistensinya. Pendampingan dan pembinaan diberikan dalam bentuk Forum Group Discussion (FGD), training dan workshop dalam bidang operasional, keuangan, pemasaran, dan visual merchandising, serta kunjungan ke workshop pertukangan dan desain interior. Dalam pembinaan inipun, Warung Chacha didampingi untuk dapat mengimplementasikan strategi tata letak warung yang rapi dan bersih, memiliki sistem pencatatan menggunakan Point of Sales (POS), memiliki akun media sosial instagram @warungchacha.ligar, dan akun jualan di e-commerce yakni Tokopedia. Melalui pendampingan dan pembinaan ini, penjualan Warung Chacha dapat meningkat sekitar 29% dengan omset semula ± Rp 700.000 per hari menjadi  ± Rp 900.000 per hari.
Exploring the Multifactorial Aetiology of Gastric Emphysema in a complex case of Olmesartan-induced Enteropathy.
Authors: Zainul Azhar , Lisa Scupham , Rozemary Karamatic ,   Department of Gastroenterology, Townsville University Hospital, 100 Angus Smith Drive, Douglas QLD 4814.
Published: November 2024

A gentleman in his 70s presents with a subacute history of bloating, diarrhoea, nausea and vomiting, dysphagia, and anorexia over the course of several months. This led to significant weight loss, malnutrition, and deconditioning requiring a prolonged hospital admission. Differentials included malignant, infectious, and autoimmune aetiologies. A gastroscopy revealed active chronic gastritis with no evidence of Helicobacter pylori and duodenal biopsy showed mild villi blunting and no increased epithelial lymphocytes with mixed inflammatory infiltrate within the lamina propria.
Advancements in imaging of head and neck squamous cell carcinoma: A comprehensive review.
Authors: Chen Zhenyu , Lei Yuhang ,   The Second Clinical College, Chongqing Medical University, Chongqing 400016, China., Tang Jianlin ,   The Basic Medicine College, Chongqing Medical University, Chongqing 400016, China., Hong Shiyuan ,   College of Pharmacy, Chongqing Medical University, Chongqing 400016, China.
Published: November 2024

As a prevalent malignancy with substantial incidence and mortality worldwide, head and neck squamous cell carcinoma (HNSCC) originates from multiple locations of different tissues, which level up the difficulty and complexity of the cancer detection. The diagnosis requires highresolution imaging modalities and several approaches have been developed within recent decades to provide detailed anatomical information for HNSCC.
Effect of ZrO2 on Radiation Shielding Properties of xZrO2-(55-x) B2O3-15Bi2O3-10MgO-20PbO Glass: XCOM and Phy-X/PSD Database Software
Authors: Putra Oki Ade , Faniandari Suci , Syamputra Dhani Nur Indra
Published: November 2024

This paper aims to determine the effect of ZrO2 on the parameters of glass-based radiation shielding with the molecular formula xZrO2-(55-x)B2O3-15Bi2O3-10MgO-20PbO (mole fraction, x= 0, 4, 8, 12, and 16 mol%). The parameters tested include Mass Attenuation Coefficients (MAC), Linear Attenuation Coefficient (LAC), Half-Value Layer (HVL), Tenth-Value Layer (TVL), Mean Free Path (MFP), and Effective Atomic Number (Zeff), which are measured using the XCOM and Phy-X/PSD programs in the energy range between 0.015 MeV and 15 MeV. The MAC values ​​obtained for all samples are between 0.0439-76.4100 cm2/g for 0ZrO, 0.0440-75.9300 cm2/g for 4ZrO, 0.0441-75.4700 cm2/g for 8ZrO, 0.0443-75.0200 cm2/g for 12ZrO, 0.0444-74.5800 cm2/g for 16ZrO. The difference in results between XCOM and Phy-X/PSD is very small, less than 0.1%. Compared with commercial shields such as RS-253-G18 glass shield and 40% synthetic borax radiation shield, ZrO2-based glass shield has better radiation capability. The 16ZrO sample has the best quality among all ZrO2-based glass shield samples at various radiation photon energies. This study is expected to be a reference in making glass radiation shields in further experiments.

Keywords: Radiation Shielding, Zirconium Oxide, Bi2O3, XCOM, Phy-X/PSD, S
Differential Gender Effect of Technical and Vocational Education Students’ Human Capital on Long-term Economic Growth in Nigeria
Authors: Ayemwenre AIGBODUWA, Stephen , Osamede OGBEBOR, Samuel , Festus ENESI,
Published: November 2024

From a gender view point, this study examines the relationship between the human capital of technical and vocational education students and the fundamental principles of long-term economic growth in Nigeria. The study used a correlational survey research approach. The study was directed by four research questions, and four null hypotheses were developed. The population for the study consisted of all 400 level undergraduate students (N = 286) of technical and vocational education in Federal and State-owned Universities in South-South geopolitical zone of Nigeria. The population was of a manageable size, thus there was no sampling. Data was gathered via a questionnaire. Three research experts- two from Ambrose Alli University in Ekpoma, the Department of Vocational and Technical Education, and one from the Measurement and Evaluation University of Benin in Benin City, Edo State validated the instrument. The instrument's dependability was assessed using Cronbach alpha reliability, and a reliability coefficient of 0.85 was found. In order to address these inquiries, bivariate correlation was utilized. Multiple regression analysis and analysis of variance were used to examine the hypotheses. The results showed that, fundamental values and both general and particular human capital were positively correlated long-term growth. Students in technical and vocational education, whether male and female, encounter nearly the same kinds of human capital overall.

Keywords: Technical and vocational education, Differential gender effect, Human capital, Long-term economic growth.
Enhancing the Competitiveness of Subsidized Housing through VRIO, PESTEL, and Porter’s Five Forces Analysis
Authors: Wirmadi Nitya Tisari , Indrawan Dikky , Taryana Asep
Published: November 2024

This study aims to identify the internal and external factors influencing the development of the subsidized housing business in Kuningan City View, Kuningan Regency. The research methods used include qualitative and quantitative approaches, with primary data obtained through observation, in-depth interviews, and questionnaires, as well as secondary data from relevant literature. The analysis was conducted using the VRIO tool for internal factors and PESTEL and Porter’s Five Forces for external factors. The research results show that the main strengths are the strategic location and high-quality after-sales service, while the main threats are intense competition and rising land prices. The conclusion is that the most effective strategy is to highlight high-quality after-sales service as an added value in promotions to maintain customer trust even as property prices rise. This study provides insights for subsidized housing developers in improving operational efficiency and competitiveness in a dynamic market.

Keywords: After-Sales Service, Competitive Advantage, Kuningan City View, PESTEL Analysis, Porter’s Five Forces, Subsidized Housing, VRIO Analysis
Socioeconomic Determinants of Fast Food Vending in Nnewi Metropolis, Anambra State, Nigeria
Authors: Gbughemobi, B.O. Nkamigbo, D.C., , E.C. Nwankwo,
Published: November 2024

This study on the socioeconomic determinants of fast food vending in Nnewi metropolitan city, Anambra State, Nigeria specifically established the socioeconomic characteristics of fast food vendors, various fast food vending prevalence in the study area, profitability of fast food vending, socioeconomic characteristics of fast food vendors that influences net return and constraints to fast food vendors in the study area. Simple random techniques was used to select 120 vendors for the study. Findings from socioeconomic characteristics shows that majority of the vendors/marketers are within the age limit of 40-49 years. Findings from various fast food marketing prevalence in the study area shows that fried Akara and palp had (29.16%) which stands to be the highest fast food vending in the study area. Finding from estimated monthly profitability of fast food marketing shows that the transaction generated a gross margin of N1,720,909.83.00, net marketing income of N1,515,369.83 and net return on investment of 0.37. The implication of the net return on investment is that the marketers return 37 kobo for every 1 Naira invested in the business. Finding from influence of socioeconomic characteristics on net marketing income of fast food vending shows that out of the nine predictors included in the model, only four were significant namely gender, household, source of finance and marketing experience. Finding from constraints shows that that expensive tax (several collection from government) (M= 3.05) was perceived as the most serious challenge in fast food vending in the study area. Too much collection from government and its agency should be addressed by government and relevant stake holders and government should formulate a programs to train these vendors to align to world class vending were recommended.

Keywords: Fast-food, determinants, vending, marketing, profitability.
Hemorrhagic Transformation Incidence in Ischemic Stroke with Hyperthyroidism Rick Factor Accompanied by Atrial Fibrillation
Authors: C. Wijaya Ricky , I Ketut Sumada , Desie Yuliani
Published: November 2024

Hemorrhagic transformation (HT) is one of the most common life-threatening complications of ischemic stroke. It occurs when peripheral blood extravasates through the damaged blood-brain barrier (BBB) ​​into the brain parenchyma after ischemic stroke. Hyperthyroidism, the most common endocrine disorder, occurs in 0.5−2% of the general population. Hyperthyroidism is known to trigger several cardiovascular system effects, one of which is the occurrence of atrial fibrillation (AF). There is a study that says that the incidence of HT in ischemic stroke patients with AF increases by 22.6%. A 48-year-old man with complaints of weakness of the left arm and leg, dysarthria and dysphagia with onset 2 hours before coming to the emergency department. Radiological examination showed bleeding with surrounding infarction and hyperthyroidism with AF was found. Hyperthyroidism is associated with AF which will increase the incidence of extensive ischemic stroke and the risk of experiencing HT due to damage to the BBB.

Keywords: Hemorrhagic transformation (HT); ischemic stroke; hyperthyroidism; atrial fibrillation (AF); risk factors
Connectedness in New Pseudo-Topological Vector Spaces
Authors: Intesar Harbi
Published: November 2024

Studying  connectedness is an important topic in classical topology, so we sought to study this property in the new pseudo topological vector space (T_(p ̃VS)) which is built on the convergence of the filters.
To Reduce Channel Interference in Mobile Ad-Hoc Networks through LSTM and GRU Prediction Algorithms
Authors: Vijay U. Rathod
Published: November 2024

The demand for the applications that mobile ad-hoc networks (MANETs) can provide is rising along with their popularity. Two important features of MANETs are communication interference and connection. In MANET environments, the movement of mobile nodes has been rising. Co-channel or adjacent interference congestion is especially common due to the increasing mobility of mobile nodes. Due to the severe degradation in MANET performance caused by these interference events, they are becoming critical difficulties. There is a lack of accuracy in MANET's capacity to predict the resources that are required and accessible to prevent disrupting traffic patterns. The flow of traffic is one of its main drawbacks. One kind of deep learning is called the "deep channel," which learns sequentially using encoders and decoders. This model predicts variability in wireless signal quality based on past signal intensity. Two Deep channel versions share a core cell structure: long short-term memory (LSTM) and gated recurrent unit (GRU). A brief description of MANETs and their applications is given in this work. This study also presents the application of machine learning and deep learning in MANETs. The study demonstrated how signal interference issues may be resolved by using neural networks.
An Interactive Web Interface for Facial Expression Recognition Using Deep Learning Framework: A Review
Authors: Manisha B. Thombare
Published: November 2024

Facial expression is the instant reaction which shows on the face in a very short time. Visual system and brain easily understands the emotions of the person. Many computer vision researchers struggle to automate human emotion recognition. Facial expression recognition plays an important role in the area of human computer interaction, camera surveillance, security, identity verification in modern electronic devices. Working of human brain with neurons is represented using deep learning paradigm. This learning usually consists of a neural network model where neurons act as input and each of them are connected to move as outputs. In deep learning number of level are available which provides the interpretation of the data inserted. Proposed system use a Python-based framework that provides access to deep learning libraries such as TensorFlow and Keras. We are going to develop developed an interactive web interface to enable ease of use, scalability and adaptability of the system to different use-case scenarios. Here we have studied more than 30 papers of standard publications which are published after 2020 so as to have a recent ongoing research in this topic.
Memory-Efficient Trust Management for IoT Nodes Enabling Secure Communication in Trusted Environments
Authors: Satish Kamble
Published: November 2024

The Internet of Things (IoT) is changing quickly, so making sure that gadgets that are linked can talk to each other safely is very important. This paper describes a new way to handle trust that is specifically made for IoT nodes that work in safe settings. Conventional models frequently have a parcel of additional memory needs and are difficult to compute, which is made more regrettable by IoT gadgets that do not have a part of assets. Our proposed approach bargains with these issues by employing a belief administration framework that doesn't utilize a parcel of memory and finds an adjustment between security needs and the restricted assets that IoT hubs have. The foremost inventive thing around our strategy is that it can alter belief levels on the fly based on modern data and past experiences. Our framework takes up as small memory as conceivable whereas still having solid security measures since it employs lightweight cryptography conventions and quick information structures. This lets Internet of Things (IoT) gadgets utilize secure communication strategies without abating them down or making them less dependable. Context-aware belief assessment could be a key portion of our framework. This implies that belief levels are continually changed based on real-time encompassing variables and the way hubs are connected with each other. This adaptable alter makes beyond any doubt that belief choices remain in line with changing working conditions and threat scenarios. We moreover made beyond any doubt that our strategy works well with current IoT plans, permitting distinctive sorts of systems to work together and develop. We demonstrate that our system works in a wide range of IoT application cases by running a part of models and real-world tests on it. This study shows an easy-to-use and expandable way to improve trust management in IoT settings, with a focus on memory efficiency without losing safety. By using our approach, IoT stakeholders can reduce the risks that come with old trust models. This will make IoT environments more reliable and adaptable in the future.
A Mathematical Framework Evaluation for Sustainable EOQ Considering Environmental Factors
Authors: Ajeet Baraskar
Published: November 2024

One of the key concerns in production planning has always been determining the economic lot size. Researchers have been studying this issue for a while, and numerous models have been created to meet objectives with the least amount of expense. This study's objective is to assess a more sophisticated approach to deciding lot size by taking into account the costs associated with emissions taxes (environmental impact). It will be suggested to adopt a framework, called Sustainable Economic Order Quantity (SEOQ), for inventory control in the pump manufacturing industry.
For the purpose of assisting decision-makers and policies on inventory issues, this study included a useful numerical analysis as well as a sensitivity analysis. Finally, the experimental findings demonstrated that the suggested models would solve the issues with the lowest possible overall inventory costs.
Multi-Class Classification and Transfer Learning for Rapid Disease Detection in Green Leafy Vegetables Using Convolutional Neural Networks
Authors: Garima Joshi
Published: November 2024

Plant diseases cause various pathogens, including bacteria, viruses, fungi, and protozoa. Plant diseases and pathogens have an impact on the entire crop and field area. Plant diseases can be identified by various techniques; however, traditional techniques are time-consuming and require more effort. Up-to-date machine learning based approaches are used to identify plant diseases based on the image data. This study investigated the application of convolutional neural network (CNN) models for the detection and classification of diseases affecting green leafy vegetables. Several state-of-the-art CNN architectures, including InceptionV3 and DenseNet121, were evaluated on an image dataset of diseased and healthy leaf samples. Preprocessing techniques such as scaling, cropping, grayscale conversion, and normalization were applied to enhance the input images. The CNN models demonstrated high diagnostic accuracy, with InceptionV3 and DenseNet121 exhibiting exceptional performance across multiple metrics like sensitivity, specificity, accuracy, recall, F-measure, and Matthews correlation coefficient (MCC).
Nonlinear Analysis of Machine Learning Applicability for Survival Analysis of Lung Cancer Patients
Authors: Rupa Fadnavis
Published: November 2024

This study about looks into how nonlinear machine learning (ML) can be utilized to foresee the survival of lung cancer patients in arrange to create expectations more exact and make strides understanding comes about. Lung cancer is still one of the foremost deadly types of cancer within the world, so better approaches ought to be found to precisely analyze and arrange medicines. Whereas conventional measurements strategies have made a difference us get it survival examination, they aren't continuously great at catching the complicated, nonlinear connections that exist in organic information. The think about looks at how to combine diverse machine learning models, like Irregular Woodlands, Slope Boosting Machines, and Neural Systems, to see at nonlinear designs and connections in DNA and clinical datasets of lung cancer cases. A part of consideration is paid to methods for choosing highlights and utilizing progressed arrangement strategies to bargain with expansive sums of information and lower clamor. We utilize strict cross-validation strategies and comparison investigation to check how well ML models work compared to conventional factual strategies. To see how well a demonstrate can anticipate how long a understanding will live, measurements just like the Concordance File, Brier Score, and Log-Rank Test are utilized. The comes about appear that machine learning models, particularly those that are great at recognizing nonlinearities, do much way better than standard strategies, making gauges that are more exact and dependable. The comes about appear that machine learning has the ability to alter the way survival analysis is worn out cancer by giving personalized data around forecast and making it easier to select centered treatments. Within the future, analysts will center on combining information from numerous omics and making machine learning models that can be caught on. This will make these progressed examination devices indeed more valuable in clinical settings and boost believe in them. This work includes to the developing sum of information that machine learning is an vital device for moving forward cancer inquire about and quiet care.
Experimental Analysis of Wear Rate and Frictional Coefficient of Various Steel Material
Authors: Rakesh Raushan
Published: November 2024

This research study focuses on experimentally investigating the wear rate and frictional coefficient of different steel materials using a pin-on-disk testing machine. The tribological properties of steel materials play a crucial role in determining their performance and reliability in various applications. The objective of this study is to assess and compare the wear characteristics and frictional behavior of multiple steel materials under controlled testing conditions. The experimental setup involved employing a pin-on-disk testing machine, where a steel pin was brought into contact with a rotating steel disk. To ensure consistency, the pin and disk specimens were fabricated from various steel materials with uniform dimensions and surface finish. Several test parameters, such as load, sliding speed, and duration, were carefully selected to mimic real-world operating conditions. Throughout the experimental runs, the frictional forces and wear rates were continuously monitored and recorded. The wear rate was quantified by measuring the weight loss of the pin and disk specimens after each test run. Additionally, the frictional coefficient was calculated by dividing the frictional force by the applied load. By comparing these parameters among the tested steel materials, the researchers aimed to identify variations in their tribological performance. The results obtained from the experimental investigation indicated significant disparities in the wear rate and coefficient of friction among the tested steel materials. Certain steel materials exhibited lower wear rates and frictional coefficients, suggesting improved tribological properties compared to others. The observed differences in wear patterns and frictional behavior were thoroughly analyzed to gain insights into the underlying mechanisms responsible for the performance variations.
Smart Cities Driven by IoT: Improving Attack Detection with Cloud-Enabled Cybersecurity
Authors: Borse Pradnya Balasaheb
Published: November 2024

The susceptibility of smart equipment to sophisticated cyber threats, such as Distributed Denial of Service (DDoS) assaults, makes anomaly detection in smart cities essential in the current era of information technology. A machine learning-driven method is presented to tackle this problem, which makes use of the power consumption patterns of Internet of Things (IoT) devices to spot unusual activity in smart home settings. The training model is implemented near IoT layer devices by utilizing a distributed fog network. To gather statistics on power utilization during daily activities, a Raspberry Pi prototype smart camera has been constructed. To produce power consumption patterns suggestive of DDoS assaults, the study also investigates anomaly identification using Artificial Neural Network (ANN) approaches. ANNs are used to simulate DDoS attacks on an experimental setup. With an average detection accuracy of 78.67% across a range of assault situations, the results demonstrate that a deep feed-forward neural network model works better than previous models. This strategy puts less demand on Internet of Things devices with limited resources, which qualifies it for use in smart city applications.
Compute the reliability and the Domination Polynomial of Computer Server
Authors: Abeer A. Abdul-Razaq
Published: November 2024

We shall clarify two concepts in this study: the domination polynomial and the reliability of network, because of their impact on how much the network's strength, interconnectivity, and quality. This paper will tackle computer servers as a case study. Un computer program was used Mat lab