bluuebunny/crossref_metadata_2025 huggingface dataset:
GIS TECHNOLOGIES IN THE STUDY OF AVALANCHE ACTIVITY FOR THE DEVELOPMENT OF AVALANCHE HAZARD MONITORING SYSTEMS
Authors:   Восточно-Казахстанский технический университет имени Д. Серикбаева, Денисова Н. , Петрова О. , Идришева Ж. , Четтыкбаев Р. , Кайсина М.
Published: September 2024

В статье рассматривается возможность использования ГИС-технологий при исследовании проблемы повышения лавинной активности в Восточно-Казахстанской области. Это происходит в условиях изменения климата. Данные необходимы для разработки мониторин- говых систем лавинной опасности и научного обоснования их размещения.
CONCRETE DEFECTS DURING TECHNICAL ASSESMENT
Authors:   L.N. Gumilyov Eurasian National University, Dyusembinov D. , Zhumagulova A. , Shakhmov Zh. , Sabitov Y. , Bazarbayev D. , Kadenova Z. , Kabdrashit D.
Published: September 2024

Concrete defects can occur for a variety of reasons, including poor construction practices, exposure to extreme weather conditions, and the use of poor quality materials. Identifying the cause of the defect is essential to determining the appropriate repair and maintenance techniques. Repair techniques can range from simple patching to more extensive rehabilitation efforts, depending on the severity of the defect. In some cases, it may be necessary to completely replace the concrete. Overall, addressing concrete defects is essential to maintaining the safety and durability of buildings and structures. Technical assessments are a critical tool in identifying defects early on so that they can be addressed before they become more serious problems. By understanding the causes and potential consequences of each type of defect, and using appropriate repair and maintenance techniques, professionals can ensure that buildings and structures remain safe and secure for years to come.
EVALUATE AND RESILIENCE FORECAST OF SAZHAEVSK LIMESTONE OPEN PIT WAIIS USING GEOINFORMATION TECHNOLOGIES
Authors:   Филиал РГП «НЦ КПМС РК» «ВНИИцветмет», Ананин А. , Тунгушбаева З. , Нуршайыкова Г. ,   Восточно-Казахстанский технический университет имени Д. Серикбаева
Published: September 2024

На основании оценки фактического состояния уступов и бортов карьера, определения прочностных свойств пород, изучения трещиноватости массива, кинематического анализа устойчивости уступов расчетом на моделях установлены безопасные параметры проектных контуров Сажаевского карьера известняка. Выданы рекомендации по обеспечению устойчивости и мониторингу за состоянием уступов и бортов карьера.
EFFECT OF MODIFYING CHEMICAL ADDITIVES AND MICROSILICA ON THE STRENGTH GAIN KINETICS OF FHC
Authors:   Южно-Казахстанский университет имени М. Ауезова, Абдраимов И. , Копжасаров Б. , Ахметов Д. ,   Казахский национальный исследовательский технический университет имени К.И. Сатпаева, Алдунгарова А. ,   Восточно-Казахстанский технический университет имени Д. Серикбаева, Кисабаева А.
Published: September 2024

The article presents the results of studies of the possibility of accelerating the strength gain period of heavy concrete with the use of modern modifiers. The basic composition of fast-hardening concrete (FHB) of the class of average strength B25 was developed. Further, known methods and approaches were analyzed to accelerate hardening of BTB. Two main modifiers were chosen and a working hypothesis was adopted, which was to apply the method of mathematical planning of experiments in the search for an optimal and effective combination of microsilica and hyperplasticizer of the 2nd generation based on polycarboxylate esters. In the course of experiments by modeling the average strength values of samples in the early periods of hardening the optimum amount of chemical additive for obtaining high-quality bTB was deduced. The test results showed a real possibility of accelerating the hardening of BTB by 50% at the age of 2 days, a positive effect of accelerating the kinetics of strength gain and the possibility of saving the binder (cement) up to 20% when using microsilica.
REMOTE SENSING IN THE SEARCH FOR RARE METAL DEPOSITS OF EAST KAZAKHSTAN REGION
Authors:   Восточно-Казахстанский технический университет имени Д. Серикбаева, Бекишев Е. , Рахымбердина М. , Мизерная М. , Матайбаева И.
Published: September 2024

В статье рассмотрены возможности применения дистанционного зондирования и выполнен анализ технических параметров для выявления закономерностей локализации редкометалльного оруденения исследуемого района на основе выделения структурно- литологических особенностей посредством анализа мультиспектральных спутниковых данных в пределах потенциально перспективных магматогенно-рудных систем и выделения участков, перспективных для обнаружения редкометалльного оруденения. Проведен анализ спектральных характеристик редкометалльных пегматитов и минералов, составляющих их, а также методов обработки и интерпретации мультиспектральных снимков. В качестве методов обработки мультиспектральных изображений для проведения работ рассматриваются метод соотношение полос, RGB комбинация и метод главных компонент (PCA – principal component analysis).
VIA AÉREA E REANIMAÇÃO CARDIOPULMONAR E CEREBRAL
Authors: Vieira Cláudia Caroline Lima dos Reis , Costa Ana Clara Ribeiro da , Santana Izadora dos Santos , Carvalho Letícia Cizoski
Published: September 2024

Esta revisão de literatura reuniu artigos publicados preferencialmente em inglês, espanhol, francês e português nos últimos cinco anos na base de dados PUBMED objetivando revisar manobras para desobstrução da via aérea e reanimação cardiopulmonar e cerebral. A via aérea e a reanimação cardiopulmonar e cerebral (RCP) são cruciais no manejo de emergências médicas, especialmente em casos de parada cardiorrespiratória. A desobstrução rápida da via aérea, com manobras como elevação do queixo ou intubação, é essencial para evitar hipoxemia e garantir a ventilação adequada. A RCP, com compressões torácicas e desfibrilação precoce, visa manter a perfusão cerebral e cardíaca até a recuperação da circulação espontânea. A cadeia de sobrevivência, que inclui o RCP imediato e o uso de desfibriladores automáticos, é um guia para aumentar as chances de sobrevivência. Medicamentos como adrenalina e amiodarona podem ser usados ​​para tratar arritmias e restaurar a circulação. A qualidade da RCP, com compressões corretas e ventilação adequada, impacta diretamente a sobrevida. Após a recuperação, os cuidados pós-parada são essenciais para garantir a recuperação neurológica e a estabilização do paciente.
DESAFIOS E OPORTUNIDADES NA EDUCAÇÃO A DISTÂNCIA: PERSPECTIVAS DO ESTUDANTE E DO DOCENTE
Authors: Moreira Mônica de Azevedo Lima , Marangone Cláudia Márcia Ferreira , Silva Jaqueline Martins Coleta da , Louzada Márcia Cristina Matos , Côgo Reginalda , Lima Síntia de Azevedo
Published: September 2024

A educação a distância (EaD) tem se expandido rapidamente, oferecendo flexibilidade e acessibilidade, mas também apresentando uma série de desafios e oportunidades tanto para estudantes quanto para docentes. Partindo desse pressuposto, este paper foi elaborado com tema Desafios e oportunidades na educação a distância: perspectivas do estudante e do docente, com objetivo de analisar as principais dificuldades enfrentadas por ambos os grupos, como a gestão do tempo, a necessidade de autodisciplina por parte dos estudantes e a adaptação dos docentes a novas tecnologias e métodos de ensino. Além disso, serão exploradas as oportunidades proporcionadas pela EaD, incluindo a personalização do aprendizado, o acesso a uma gama mais ampla de recursos educacionais e a possibilidade de interação global. A pesquisa visa fornecer insights sobre como as instituições podem apoiar melhor os estudantes e docentes na maximização dos benefícios da educação a distância, ao mesmo tempo, em que minimizam os obstáculos associados a essa modalidade de ensino. A opção foi realizar uma pesquisa bibliográfica voltada para o levantamento de dados e informações relevantes sobre essa temática, que já tenham sido publicados em artigos, livros e outras fontes.
Examining ENSO-related variability in tropical tropospheric ozone in the RAQMS-Aura chemical reanalysis
Authors: Bruckner Maggie , Pierce R. Bradley , Lenzen Allen
Published: September 2024

Abstract. The El Niño–Southern Oscillation (ENSO) is a major driver of interannual variability in both tropical latitudes and midlatitudes and has been found to have a strong impact on the distribution of tropospheric ozone in the tropical Pacific in satellite observational datasets, chemical transport models, and chemistry–climate simulations. Here we analyze interannual variability in tropical tropospheric ozone by applying composite analysis, empirical orthogonal function (EOF) analysis, and multiple linear regression to the Real-time Air Quality Modeling System (RAQMS) Aura (RAQMS-Aura) chemical reanalysis. As shown in similar studies, the dominant mode of interannual variability in tropical tropospheric ozone is driven by ENSO. ENSO composites show that the ENSO signature in tropospheric ozone is strongest near the tropopause. We also show an enhancement in tropical ozone over the maritime continent below 700 hPa during El Niño that is dependent on the magnitude of the biomass burning emissions in the region. We reconstruct the ENSO variability in tropical tropospheric ozone through a multiple linear regression of principal components for precipitation and CO. The multiple linear regression quantifies that variability in biomass burning contributes to ENSO variability in tropical tropospheric ozone, though the dominant driver is convective precipitation.
Global long-term trends in the total electron content
Authors: Urbář Jaroslav , Laštovička Jan
Published: September 2024

Abstract. The total electron content (TEC) is an important parameter for the ionospheric dynamics, GNSS/GPS signal propagation and related applications of GNSS/GPS signals. Despite this fact the long-term trends in TEC have been studied a little only. Here we analyze the homogeneous series JPL-35 of global TEC data for 1994–2014 for selection of the optimum solar activity proxy for TEC analyses, and the UPC TEC data over 2003–2023 for estimating long-term trends in TEC. TEC trends are very predominantly negative. TEC trends reveal a clear wavenumber 2 longitudinal structure in low/equatorial latitudes with strong negative trends in belts 0–60° E and 180–240° E and weak trends in 90–150° E and 270–330° E. For more detailed information on TEC trends a longer series of reliable TEC data is required.
Ocean biogeochemical reconstructions to estimate historical ocean CO2 uptake
Authors: Bernardello Raffaele , Sicardi Valentina , Lapin Vladimir , Ortega Pablo , Ruprich-Robert Yohan , Tourigny Etienne , Ferrer Eric
Published: September 2024

Abstract. Given the role of the ocean in mitigating climate change through CO2 absorption, it is important to improve our ability to quantify the historical ocean CO2 uptake, including its natural variability, for carbon budgeting purposes. In this study we present an exhaustive intercomparison between two ocean modeling practices that can be used to reconstruct the historical ocean CO2 uptake. By comparing the simulations to a wide array of ocean physical and biogeochemical observational datasets, we show how constraining the ocean physics towards observed temperature and salinity results in a better representation of global biogeochemistry. We identify the main driver of this improvement to be a more vigorous large-scale meridional overturning circulation together with improvements in mixed-layer depth and sea surface temperature. Nevertheless, surface chlorophyll was rather insensitive to these changes, and in some regions its representation worsened. We identified the causes of this response to be a combination of a lack of robust parameter optimization and limited changes in environmental conditions for phytoplankton. We conclude that although the direct validation of CO2 fluxes is challenging, the pervasive improvement observed in most aspects of biogeochemistry when applying data assimilation of observed temperature and salinity is encouraging; therefore, data assimilation should be included in multi-method international efforts aimed at reconstructing the ocean CO2 uptake.
Introducing graupel density prediction in Weather Research and Forecasting (WRF) double-moment 6-class (WDM6) microphysics and evaluation of the modified scheme during the ICE-POP field campaign
Authors: Park Sun-Young , Lim Kyo-Sun Sunny , Kim Kwonil , Lee Gyuwon , Milbrandt Jason A.
Published: September 2024

Abstract. The Weather Research and Forecasting (WRF) double-moment 6-class (WDM6) scheme was modified by incorporating predicted graupel density. Explicitly predicted graupel density, in turn, modifies graupel characteristics such as the fall velocity–diameter and mass–diameter relationships of graupel. The modified WDM6 has been evaluated based on a two-dimensional (2D) idealized squall line simulation and winter snowfall events that occurred during the International Collaborative Experiment for Pyeongchang Olympics and Paralympics (ICE-POP 2018) field campaign over the Korean Peninsula. From the 2D simulation, we confirmed that the modified WDM6 can simulate varying graupel densities, ranging from low values in an anvil cloud region to high values in the convective region at the mature stage of a squall line. Simulations with the modified WDM6 increased graupel amounts at the surface and decreased graupel aloft because of the faster sedimentation of graupel for two winter snowfall cases during the ICE-POP 2018 campaign, as simulated in the 2D idealized model. The altered graupel sedimentation in the modified WDM6 influenced the magnitude of the major microphysical processes of graupel and snow, subsequently reducing the surface snow amount and precipitation over the mountainous region. The reduced surface precipitation over the mountainous region mitigates the surface precipitation bias observed in the original WDM6, resulting in better statistical skill scores for the root mean square errors. Notably, the modified WDM6 reasonably captures the relationship between graupel density and its fall velocity, as retrieved from 2D video disdrometer measurements, thus emphasizing the necessity of including predicted graupel density to realistically represent the microphysical properties of graupel in models.
Unprecedented 21st century glacier loss on Mt. Hood, Oregon, USA
Authors: Bakken-French Nicolas , Boyer Stephen J. , Southworth B. Clay , Thayne Megan , Rood Dylan H. , Carlson Anders E.
Published: September 2024

Abstract. As part of the southern Cascades, Mt. Hood is the tallest and most glacierized peak in Oregon, USA. Despite alpine glaciers being one the clearest indicators of human-caused climate change, the 21st century behavior of glaciers on Mt. Hood has not been directly documented at the ground level. Here we directly measure changes in the extents of Mt. Hood's glaciers from 2003 to 2023 and find dramatic retreat of all glaciers, with one glacier ceasing to flow (joining another glacier that ceased flowing before 2003) and another three glaciers retreating towards this status. By 2023, Mt. Hood glaciers had lost ∼17 % of their 2015–2016 area and ∼39 % of their 1981 area. The rate of area loss from 2015–2016 to 2023 (∼2.10 % yr−1) was ∼2.6 times faster than the rate from 1981 to 2015–2016 (∼0.81 % yr−1). The seven largest glaciers on the volcano lost ∼25 % of their area between 2000 and 2023. Comparison to historic records of glacier area back to 1907 shows that this 21st century retreat is unprecedented relative to the previous century. The rate of area loss over the last 23 years (∼1.07 % yr−1) was ∼1.9 times faster than the fastest rate documented in the last century from 1907 to 1946 (∼0.56 % yr−1) and ∼3.5 times faster than the 20th century average (∼0.31 % yr−1). This unprecedented rate of retreat corresponds to regional summer warmth reaching 1.7–1.8 °C (2013–2023 average) relative to the early 1900s, but not with regional changes in winter precipitation. We conclude that Mt. Hood's glaciers are retreating in response to a warming climate and that this recession has accelerated in the 21st century.
Analyzing gender and age differences in travel patterns and accessibility for demand response transit in small urban areas: A case study of Tennessee
Authors: Guo Jing , Mishra Sabyasachee , Brakewood Candace
Published: September 2024

Demand Response Transit (DRT) services (e.g., dial-a-ride) play a crucial part in supporting transportation systems in small urban and more rural areas. However, the exploration of DRT trip patterns and accessibility, particularly the differences tied to demographics such as gender and age, remains an underdeveloped field. This study begins to fill this research gap by statistically and spatially analyzing real-world DRT trip data from Tennessee. DRT trip purposes were identified based on origin and destination land uses. Statistical analysis was conducted to evaluate DRT travel patterns for passengers of different demographic groups, particularly women and the elderly. Spatial analysis identified areas with higher DRT trip demand and limited DRT accessibility as potential essential destination deserts. The results show that women took more DRT trips across all purposes (e.g., Home-Healthcare, Home-Home, and Home-Leisure) except for Home-Work. About 36.8% of the DRT trips were made by the elderly, primarily for Home-Healthcare trips (67%), and they preferred shorter DRT trips. Spatial analysis revealed disparities in potential essential destination deserts for the elderly and females, as well as differences in possible deserts by trip purpose (e.g., healthcare-related trips). This study contributes to the literature by proposing a methodological framework for assessing DRT travel patterns and accessibility, which has been excluded from most of the prior literature on accessibility.
Políticas de privatização da educação básica em Angola: causas e implicações
Authors: Kuebo Paulino Gregório Armando , António António
Published: September 2024

Neste artigo discute-se a problemática da privatização da educação em Angola sob o avanço de políticas públicas que favorecem o setor privado. O objetivo geral do estudo consiste em refletir em torno da garantia do direito à educação básica obrigatória no cenário político do Sistema Educativo Angolano, diante da privatização e da dependência financeira das organizações internacionais. Esta pesquisa, de abordagem quanti-qualitativa, foi realizada por meio da metodologia documental-bibliográfica, com a análise de legislações, planos e relatórios nacionais. Os resultados do estudo indicam uma tendência crescente de firmação do setor privado e público-privado no Sistema Educativo Angolano. O Estado de Angola necessita contar com o financiamento internacional das organizações multilaterais para minimizar fragilidades, o que favorece a privatização. A gestão do setor privado pesa sobre as finanças dos pais e encarregados de educação.
دور تكنولوجيا الذكاء الاصطناعي في تأهيل الكوادر البشرية وتنمية الناتج المحلي (دراسة حالة في قطاع التعليم في الجمعية الأولى الخيرية بجدة)
Authors:   بكالوريوس هندسة نظم معلومات، جامعة ميد أوشن، المملكة العربية السعودية, بخاري روان , الشلوي رجاء ,   بكالوريوس تقنية المعلومات، جامعة ميد أوشن، المملكة العربية السعودية
Published: September 2024

تستكشف هذه الدراسة دور تكنولوجيا الذكاء الاصطناعي في تحسين جودة التعليم وتطوير الكوادر البشرية في الجمعيات الخيرية بمدينة جدة، مما يسهم في تعزيز الناتج المحلي. تهدف الدراسة إلى تحسين جودة التعليم باستخدام تقنيات الذكاء الاصطناعي، وتأهيل الكوادر البشرية في الجمعيات الخيرية لمواكبة متطلبات سوق العمل المتغيرة. كما تهدف إلى تعزيز النمو الاقتصادي المحلي من خلال تطبيقات الذكاء الاصطناعي في التعليم، مع تحديد التحديات التي قد تواجه تطبيق هذه التكنولوجيا. تعتمد الدراسة على المنهج الوصفي التحليلي لجمع وتحليل البيانات، وتشمل دراسة حالة لتطبيق تقنيات الذكاء الاصطناعي في إحدى الجمعيات الخيرية بجدة، و تمثلت عينة الدراسة ب 35 مشارك من مجتمع الدراسة، وطبقت الدراسة خلال العام 2024م، وتوصلت الدراسة إلى عدة نتائج من أهمها: يرى المشاركون أن تكنولوجيا الذكاء الاصطناعي تساهم بشكل إيجابي في تحسين جودة العمليات التعليمية وزيادة إنتاجية القطاع التعليمي، المشاركون يرون أن تطبيقات الذكاء الاصطناعي تساعد في تطوير المهارات والمعرفة لدى العاملين في المجال التعليمي، يعتقد المشاركون أن تبني تكنولوجيا الذكاء الاصطناعي في التعليم يسهم في تحقيق التنمية المستدامة، يتمتع العاملون في الجمعية الأولى الخيرية بالمهارات اللازمة لاستخدام تطبيقات الذكاء الاصطناعي، وهناك خطة واضحة لتدريبهم وتأهيلهم على هذه التقنيات، هناك توجه استراتيجي واضح لدى الجمعية الأولى الخيرية نحو الاستفادة من تكنولوجيا الذكاء الاصطناعي، وتعتبر تطوير الكوادر البشرية باستخدام هذه التكنولوجيا أولوية استراتيجية للجمعية، يرى المشاركون أن استخدام الذكاء الاصطناعي في الجمعية الأولى الخيرية يساهم في تعزيز ميزتها التنافسية، ويتطلب ذلك تطوير البنية التحتية التقنية للجمعية، وقدم البحث مجموعة من التوصيات أبرزها: تعزيز برامج التدريب والتطوير للعاملين في الجمعية لتعزيز مهاراتهم في استخدام تقنيات الذكاء الاصطناعي في العمل التعليمي.
العلاقة بين التخطيط الاستراتيجي وتحسين جودة التعليم في المملكة العربية السعودية
Authors:   طالبة ماجستير في الإدارة التربوية، كلية التربية، جامعة القصيم، المملكة العربية السعودية, السماره هناء
Published: September 2024

هدفت هذه الدراسة إلى استكشاف العلاقة بين التخطيط الاستراتيجي وتحسين جودة التعليم في المملكة العربية السعودية. اعتمدت الدراسة على المنهج الوصفي التحليلي الذي يعتمد على مراجعة الأدبيات والدراسات السابقة المتعلقة بموضوع البحث، بهدف تقديم فهم شامل ومتعمق لأهمية التخطيط الاستراتيجي في تحسين جودة التعليم. تم جمع البيانات من خلال مراجعة الأدبيات والدراسات السابقة والتقارير وآراء المفكرين التي تتعلق بالموضوع محل الدراسة، تمت هذه الدراسة في العام 2024م. أظهرت النتائج أن التخطيط الاستراتيجي يلعب دوراً حيوياً في تحسين جودة التعليم، حيث يؤدي إلى تحسين الأداء التعليمي وزيادة فعالية العمليات التعليمية. وقد تبين أن المؤسسات التعليمية التي تتبنى التخطيط الاستراتيجي تحقق مستويات أعلى من الجودة التعليمية مقارنة بتلك التي لا تعتمد على هذا النهج. وأكدت النتائج أيضاً على أن التخطيط الاستراتيجي يساعد في تحسين مخرجات التعليم وأداء العاملين في القطاع التعليمي. ومن التحديات التي تواجه التخطيط الاستراتيجي في المؤسسات التعليمية نقص الموارد المالية والبشرية، ضعف البنية التحتية، مقاومة التغيير، وصعوبة التكيف مع التكنولوجيا الحديثة. وقد أوصت الدراسة بضرورة التغلب على هذه التحديات من خلال تعزيز تطبيق التخطيط الاستراتيجي، وتحسين البنية التحتية التعليمية، من خلال تحديث المرافق وتجهيزها بالتكنولوجيا الحديثة التي تساهم في تحسين جودة العملية التعليمية، وتوفير برامج تدريبية للمعلمين والإداريين. كما أوصت الدراسة بتشجيع البحث العلمي في مجال التخطيط الاستراتيجي وجودة التعليم، وإشراك المجتمع المحلي وأولياء الأمور في عملية التخطيط لضمان تلبية احتياجات الطلاب والمجتمع بشكل أفضل. وقد خلصت الدراسة إلى أن التخطيط الاستراتيجي يعتبر أداة حتمية لتحقيق التطور المستدام وتحقيق رؤية المملكة 2030 في مجال التعليم، مما يعزز مكانة المملكة العربية السعودية على المستوى العالمي في هذا المجال.
DECIPHERING THE CONTRIBUTION OF DESIGN TO ORGANISATIONS THROUGH THE ANALYSIS OF FOUR THEORETICAL FRAMEWORKS IN BUSINESS MANAGEMENT
Authors: FERNANDEZ LAGO PAULA , MARTINEZ RODRIGUEZ RODRIGO
Published: September 2024

ABSTRACT
This article analyzes how the discipline of design has been studied in relation to different theories from the field of business management; delving into four frames of reference: dynamic capabilities, resource-based vision, intellectual capital and strategy formulation. The work reviews the available literature in relation to these frameworks, and identifies how different possibilities of manifestation of design in an organizational context emerge from them. On the other hand, the importance of integrating design into the organizational structure of the company is highlighted and the main barriers that the discipline faces to achieve it are identified. Finally, this work affects the integration of design in the field of business management from a three-level logic: operational, tactical and strategic.

Keywords: design, business management, integration, organizational structure, barriers, dynamic capabilities, resource-based view, intellectual capital, competitive advantage, operational, tactical, strategic.
TECHNOLOGICAL FEATURES OF ARC DEEP RECOVERY OF USEFUL IMPURITIES OF METALLURGICAL WASTE FOR THE TREATMENT OF IRON-CARBON MELTS
Authors: Куберский С.В.
Published: September 2024

Внепечная обработка железоуглеродистых расплавов является неотъемлемой частью современной технологии их производства, обеспечивающей высокое качество металлопродукции. Однако в условиях мини- и микрозаводов, использующих технологические агрегаты небольшого единичного объема, не всегда удается реализовать современные высокоэффективные схемы рафинирования, раскисления-легирования и нагрева, присущие агрегатам ковш-печь и вакууматорам. Кроме того, актуален вопрос широкого использования при выплавке чугуна и стали различных отходов производства с целью их рециклинга и сокращения расхода традиционных шихтовых материалов. Поэтому в работе предложен новый метод дугового глубинного восстановления полезных для металлургии элементов из промышленных отходов и вторичных материалов непосредственно в железоуглеродистый расплав, для его раскисления-легирования (рафинирования), гомогенизации и нагрева заглубленной электрической дугой. Такая технология исключает применение дорогостоящих реагентов, ферросплавов и лигатур. На основе проведенных исследований установлена схема процессов дугового глубинного восстановления элементов, предложена конструкция рудно-восстановительных блоков и их состав, показана высокая эффективность нового способа внепечной обработки в сравнении с традиционными аналогами.

Out-of-furnace processing of iron-carbon melts is an integral part of the modern technology of their production, which ensures high quality of metal products. However, in the conditions of mini- and micro-factories using technological units of a small unit volume, it is not always possible to implement modern highly efficient refining, deoxidation-alloying and heating schemes that are used by automatic transmitters and vacuum cleaners. In addition, the issue of widespread use of various production wastes for the production of cast iron and steel in order to recycle them and reduce the consumption of traditional charge materials is relevant. Therefore, a new method of arc deep reduction of elements useful for metallurgy from industrial waste and secondary materials directly into an iron-carbon melt for its deoxidation-alloying (refining), homogenization and heating by a buried electric arc. This technology eliminates the use of expensive reagents, ferroalloys and ligatures. On the basis of the conducted research, a scheme of the processes of arc deep reduction elements has been established, the design of ore-reducing blocks and their composition have been proposed, and the high efficiency of the new method of out-of-furnace processing in comparison with traditional analogues has been shown.
THE POSSIBILITY OF CONTROLLING THE STEELMAKING PROCESS IN EAF TO OPTIMISE TECHNICAL AND ECONOMIC PERFORMANCE
Authors: Люлякин А.П. , Тверской А.Б. , Зезюлин А.В. , Гусев М.П. , Седухин В.В. , Матвенов М.Е. , Гаврилов И.Ю.
Published: September 2024

В статье приведено описание современных методов контроля и оптимизации энергетического режима плавки в дуговых сталеплавильных печах и агрегатах внепечной обработки стали с помощью систем оптической эмиссионной спектроскопии. Такие системы позволяют определять температуру расплава и шлака, температуру плазмы в районе горения дуги, состав шлака, а также анализировать интенсивность излучения поверхности расплава и шлака. На основе анализа установлено, что в зависимости от сортамента выплавляемой стали и особенностей технологии выплавки на конкретной ДСП имеется возможность создания систем контроля для мониторинга выплавки, опирающихся на получаемые показатели как одного из вышеперечисленных параметров, так и их комплекса.

The article describes modern methods of control and optimization of the energy mode of melting in electric arc furnaces and units of out-offurnace steel processing with the help of optical emission spectroscopy systems. These systems allow determining the temperature of melt and slag, plasma temperature in the area of arc combustion, slag composition, as well as to analyze the emission intensity of the melt and slag surface. On the basis of the analysis it has been established that depending on the range of steel to be smelted and peculiarities of smelting technology at a particular batch plant there is a possibility to create control systems for smelting monitoring based on the obtained indicators of one of the above-mentioned parameters or their complex.
EXPERIMENTAL MOLD FOR OBTAINING CONTINUOUSLY CAST BILLETS FROM HIGH ALLOY STEELS AND ALLOYS. Part 3. Testing of an experimental mold on a medium temperature aluminum alloy
Authors: Стулов В.В. , Шафиев О.М.
Published: September 2024

Впервые выполнены опытные разливки алюминиевого сплава в запатентованный кристаллизатор с испарительноконденсационной системой охлаждения с вытягиванием полученной цилиндрической заготовки диам. 62 мм. Показано, что расход охлаждающей воды на кристаллизатор может быть уменьшен в 2–3 раза путем повышения температуры выходящей из конденсатора воды до t = 60–80 °С. Выполнены корректировки конструктивного расчета температуры стенок с учетом предварительного разогрева кристаллизатора и экспериментальных значений температуры. Проанализировано состояние поверхности полученных заготовок в двух режимах разливки. Выполнены расчет и сравнение подведенного и отведенного в кристаллизатор тепла, толщины корочки заготовки.

For the first time, pilot castings of an aluminum alloy into a patented mold with an evaporative-condensation cooling system were carried out with drawing of the resulting cylindrical billet with a diameter of 62 mm. It is shown that the flow rate of cooling water to the mold can be reduced by a factor of 2–3 by increasing the temperature of the water leaving the condenser to t = 60–80°C. Adjustments were made to the design calculation of the wall temperatures, taking into account the preliminary heating of the crystallizer and the experimental values of temperatures. The state of the surface of the obtained workpieces was analyzed in two pouring modes. The calculation and comparison of the heat supplied and removed to the mold, the thickness of the billet crust were performed.
ANALYSIS OF THE INFLUENCE OF COMPLEX PROCESSING, INCLUDING AEROTHERMOACOUSTIC, ON THE MECHANICAL PROPERTIES OF THE BrB2 ALLOY
Authors: Ленина В.А. , Воробьева Г.А. , Ремшев Е.Ю. , Степанов Б.В. , Гейн А.М. , Ремшева А.Е.
Published: September 2024

Проведено исследование влияния термической, термомеханической и аэроакустической обработок на формирование структуры и механических свойств сплава БрБ2 (прутки, тянутые после закалки). Анализ результатов исследований свойств сплава после указанных обработок по оптимизированным режимам показал, что аэротермоакустическая обработка, предшествующая старению сплава, обеспечивает повышение условного предела текучести без снижения пластичности, а также повышение теплостойкости сплава БрБ2. Уровень значений условного предела текучести превосходит величину этого параметра у сплава БрБ2,5.

The influence of thermal, thermomechanical and aeroacoustic treatment on the formation of the structure and mechanical properties of the BrB2 alloy is considered. The results of studies on increasing the strength of the alloy by optimizing the modes of heat and aerothermoacoustic treatment are presented. The data showing a significant effect of pre-aging processing on the structure, the possibility of further improving the mechanical properties and heat resistance of rods made of BrB2 alloy are presented.
In Silico Exploration of Suruhan Leaves (Peperomia pellucida) for Triple-Negative Breast Cancer Therapy Targeting AURKA
Authors: Rovik Anwar , Andyra Vania Uly , Afifah Laelatul
Published: September 2024

Breast cancer is the most common type of cancer worldwide. One of the most widely used chemotherapeutic agents in the treatment of breast cancer is doxorubicin. However, doxorubicin has been reported to cause side effects. Suruhan (Peperomia pellucida) contains bioactive compounds that might protect against breast cancer cells. This study aims to analyze the bioactive compound activity of Suruhan leaves in triple-negative breast cancer in silico. The study was conducted by reviewing published literature on bioactive compounds in Suruhan leaves, predicting the protein target, analyzing the gene expression in triple-negative breast cancer (TNBC) patients, analyzing the protein interactions, and examining patient survival. There are five common bioactive compounds in Suruhan leaves, including peperomin A; 6,8-dihydroxy kaempferol 3,6,7,4'-tetramethyl ether 8-neohesperidoside; dillapiole; carotol; and pellucidin A. AURKA is a target protein for bioactive compounds that are also overexpressed in TNBC patients. AURKA has strong interactions with many proteins, including TPX2, NEDD9, CCNB2, CDC20, PLK1, BIRC5, INCENP, TACC3, TP53, and MYCN. The AURKA has emerged as a promising target for TNBC therapy.
Cooperation of China with the countries of Central Asia within the framework of Chinese global initiatives
Authors:   Political Science at the Oriental Institute, Kazakhstan Ministry of Science and Higher Education, KOZHIROVA SVETLANA , BATYRBAYEV KAIRAT ,   L.N. Gumilyov Eurasian National University, JINGCHENG LI ,   Institute of Area Studies and International Communication of Shenzhen University
Published: September 2024

This scientific article named "Cooperation of China with Central Asia: Analysis and Prospects" researches the interrelations of China with the countries of Central Asia in the framework of PRC global initiatives. The authors explore the importance of tourism development, cultural exchange, and economic cooperation between the regions. The article analyzes political strategies, diplomatic initiatives, and the results of cooperation in the sphere of security. Special attention was given to the impact of Chinese culture and soft power on the countries of Central Asia.This paper is a research article based on the analysis of data, documents, and expert opinions. Its purpose is to provide an overview of the current state and prospects for cooperation between China and the countries of Central Asia
Geographic Information System Mapping of Essential Oil Producing Plants in Bangkalan Regency using K-Means Clustering
Authors: Nur Achmad Zain , Jauhari Achmad
Published: September 2024

Essential oil is one of the high foreign exchange earning export commodities for Indonesia. Unfortunately, the high world market demand for essential oils has not been fully supplied by Indonesia. In Indonesia, essential oils generally come from farmers who have relatively small land and are then processed using simple distillation equipment. The same thing also happened in Kab. Bangkalan, Madura. This condition is the main reason why Indonesia's essential oil production is not optimal. To find out the distribution potential of essential oil-producing plants in Bangkalan Regency, it is necessary to have a step in building a system that can group the distribution areas of essential oil-producing plants, for this we need a clustering method. This study uses the K-Means Clustering method and uses the Euclidean algorithm to group the distribution areas of essential oil-producing plants, especially in Bangkalan Regency, so that later they can be identified based on clusters and displayed in visual form, namely in the form of digital maps using the Geographic Information System (GIS) application. Therefore, it is hoped that this research will be able to find out the distribution area of essential oil-producing plants in order to make it easier for local governments to monitor the potential of essential oil-producing areas in Bangkalan Regency.
MULTIVISCERAL RESECTIONS IN CASES OF LOCALLY ADVANCED GASTRIC CANCER. PERIOPERATIVE RESULTS IN A HIGH-VOLUME CENTER
Authors:   Clinic for Hepato-Billiary, Pancreatic and General Surgery, Acibadem City Clinic UMHAT ", Marinov Vesselin ,   Tokuda",   Hospital, Sofia, Bulgaria.
Published: September 2024

Introduction. At the time of diagnosis, gastric cancer is usually an advanced disease. This is related to poor prognosis. Despite of reported improvement of perioperative results after neoadjuvant therapy In cases of locally advanced disease without evidence of distant metastases, only multivisceral resections may be considered as an attempt to achieve better outcome. Typically, these are very challenging surgical interventions involving different organs in the supramezolic part of the abdominal cavity, requiring great practical experience from the surgical team with potential risks of serious complications. Aim. To analyze the perioperative results in a group of 59 patients with multivaseral resections of locally advanced T4 gastric cancer without data of distant metastases in hepatobiliary and pancreatic surgery clinic with a large volume of activity. Material and method. This report is based on a series of 59 patients operated in the Hepato-billiary, Pancraetic and General Surgery Department with T4 locally advanced gastric carcinoma and performed multivaseral resections. This series is subject to a retrospective study. Results. All patients in the reported group had macroscopic involvement of adjacent organs or anatomical structures without evidence of distant peritoneal or liver dissemination. 36 (61.0%) men and 23 (39.0%) women between the age of 23 and 79 were operated on. Pancreatic resections were performed in 38 (64.4%) patients. In the study group, 2 patients died, with a perioperative mortality rate of 3.3%. Perioperative complications were recorded in 13 patients (22.0%). The most common complication is the postoperative development of pancreatic fistula. The median hospital stay is 10.7 days. Conclusion. In selected patients, multivisceral resections for locally advanced gastric cancer by an experienced HBP surgical team are associated with acceptable perioperative outcomes in terms of complications and mortality.
A clinical image of rare presentation of advanced diabetic wound
Authors:   Assistant Professor, Department of Kayachikitsa, MGACHRC, Datta Meghe Institute of Higher Education and Research, Sawangi (M), Wardha, Maharashtra, India., Chakole Dipika
Published: September 2024

A diabetes mellitus is one of the most commonly occurred non communicable disease which affects approximately 422 million peoples worldwide. The mortality of 2 million people per year is estimated due to diabetes and its complication [1].
Lung abscesses complicating hydrocarbon ingestion in a child: About a rare and unusual case
Authors:   Pediatric Department, Unit of Pneumology and Allergology, Mother-Child Hospital, Cadi Ayaad University, Marrakech, Morocco., Benfadila Hajar
Published: September 2024

Accidental ingestion of hydrocarbon in children is common in developing countries, the main complication of which is chemical pneumonia with deaths occurring in four to ten percent of reported cases.
Cerebral manifestation of hypervirulent klebsiella pneumoniae: An in-depth case report on isolated brain abscess
Authors:   Internal Medicine Department, Hospital Sultanah Bahiyah, Malaysia, Chiuan Lee Chun
Published: September 2024

Klebsiella pneumoniae (K. pneumoniae) is a gram negative organism commonly associated with respiratory tract infection. Isolated Invasive K. pneumoniae brain abscess and meningitis is extremely rare especially in an immunocompetent patient.
Neurocutaneous melanocytosis: A case report with antenatal presentation
Authors:   Department of Pediatrics, Groote Schuur Hospital, University of Cape Town, Cape Town, South Africa., Tooke Lloyd
Published: September 2024

Neurocutaneous melanocytosis is one of the neurocutaneous syndromes. This condition is a rare but serious congenital condition that is characterised by hyperpigmented melanocytic naevi of varying size and number with associated melanocytosis of the leptomeninges.
A digestive cause of respiratory distress
Authors:   Pneumology Department, Military Instruction Hospital Mohamed V, Rabat, Morocco., Beaouiss Mohamed
Published: September 2024

A 63-year-old man, a chronic active smoker with a history of solid dysphagia for 4 months, presented with mild hemoptysis for the past 15 days, complicated by respiratory distress, leading to his hospitalization in the emergency department.
Complete heart block; a clue to Kearns-Sayre syndrome: A case report
Authors:   Aswan Heart Center, Magdi Yacoub Foundation, Egypt., Hammouda Tarek
Published: September 2024

High-grade AV block affects around 0.04% of the population. In the elderly, it is mostly attributed to age-related conduction system degeneration. On the other hand, high-grade AV block in young adults is rare. It prompts the search for a structural abnormality or a systemic disease such as infections, auto-immune diseases, sarcoidosis, and rare diseases as mitochondrial mutation syndromes.
A large posterior mediastinal cavernous lymphangioma with benign osteolysis foci: A case report
Authors:   Faculty of Medicine, Damascus University, Damascus, Syria., Othman Hamdan
Published: September 2024

Lymphangioma is a rare benign malformation of lymphatic system that is often diagnosed in the first few years of life. Occurs due to blockage of the lymphatic system during fetal development. They commonly occur in the neck, axilla, and extremities [1,2].
Healthcare applications of Augmented Reality (AR) and Virtual Reality (VR) simulation in clinical education
Authors:   Computer Science Department, Federal University Lavras, Brazil., Matthew Ugochukwu Okwudili
Published: September 2024

With the advancement of technology, digital gadgets have progressively become tools for educational pedagogy, enabling the widespread application of Virtual Reality (VR) and Augmented Reality (AR) in healthcare education. Neurological rehabilitation
A Novel Multi-Stage Feature Selection and Classification Model for Accurate Liver Disease Detection
Authors: Gurmeet Kaur Saini
Published: September 2024

Liver disease, comprising a spectrum of conditions that afflict the liver, stands as a significant health challenge with global implications. This paper presents an effective and highly accurate liver disease detection model wherein unique feature Selection and classification techniques are implemented. The novelty contribution of this work is effective feature selection technique in which features are selected in three stages. In the first stage, entropy, Eigenvector centrality and entropy-correlation based techniques are implemented on each feature to determine their relevance score. These features are then combined and their average value is calculated to form the first feature score vector. In the second stage, Randon Forest (RF) classifier is used for analysing the effectiveness of features selected in first stage in terms of their accuracy. Based on this accuracy, the relevance score of features is again updated to form the second feature set. In the third stage, Fuzzy model is used for determining the contextual relevance among various features. The selected feature set is then passed to proposed BELV classification model, wherein techniques like bagging, ensemble learning and voting is applied. Three baseline classifiers i.e., KNN, RF and Decision Tree (DT) are used in ensemble learning to make individual predictions which are then combined before applying majority voting mechanism to make the final prediction. The efficacy of proposed model is tested on ILPD and CPD datasets for binary classification and multi-stage disease detection respectively. Through extensive experiments in MATLAB software proposed model attained an accuracy of 93% and 96.8% for binary and multi-stage disease classifications respectively.
L^1-Convergence of Double Fourier Transform in L^p (R) Spaces, p≥1
Authors: Sakshi
Published: September 2024

In this research article, we have given a method which restrict the double fourier transform of fϵL^p (R) spaces, 1≤p≤∞ . Further, we have discussed the convergence by using the approximate identities. The aim of this paper is to extend the results of  K. Devendra and S. Dimple[3] from one dimensional to two-dimensional trigonometric series.
A Mathematical Model for Enhancing Cybersecurity in IoT Networks Using LSTM-Based Anomaly Detection and Optimization
Authors: J Merlin Florrence
Published: September 2024

The widespread adoption of Internet-of-Things (IoT) devices has heralded an explosion in potential attack surfaces with varying capabilities and a wide variety of vulnerabilities. Because of this, IoT networks have become a favorable choice for many cyber-attacks due to the difficulty and complexity that traditional cybersecurity approaches face in managing these types of networks with large numbers up to millions of users leading these attacks to pose significant risks from anomalous behavior. Current approaches such as rule-based intrusion detection system (IDS) and signature-based models are inadequate to be utilised in the dynamic IoT enclaves where they tend to generate too many false positives and may miss unknown threats. In this study, motivated by hybrid methods utilizing machine learning-based anomaly detection wrapped around optimization algorithms, we suggest a full-fledged mathematical model applying these possible solutions for cybersecurity in IoT networks. This model uses a variety of unsupervised learning techniques in order to detect and remediate new threats dynamically at run time. The models learn the optimal thresholds for detection and resource allocation to perform the fastest possible response under low resources constraints, by leveraging optimization algorithms like genetic algorithm or particle swarm optimization. It shows a significant enhancement in anomaly detection accuracy and reduction of false positives compared to conventional methods. Nevertheless, problems in measurement overhead, model scalability and management of big IoT environments characterized by low-computation resources are still being faced. Nevertheless, the proposed model is promising for large-scale applications (e.g., smart cities, industrial IoT, and healthcare applications) in a critical context where cyber threats should be detected on time to help guarantees integrity of operation. Our results indicate that a machine learning-based intrusion detection system in conjunction with optimization techniques can be developed into solid and adaptable cybersecurity infrastructure to safeguard the expanding IoT world.
Bounds on The Reduced Sombor Index of Graphs
Authors: S. Nagarajan
Published: September 2024

The reduced Sombor index is a modified version of the very famous Sombor Index for a graph ????.  In this article, the reduced Sombor index is studied on various classes of graphs and novel results on the bounds of the reduced Sombor index of graphs are obtained. The graphs with minimum reduced Sombor index are studied, and the graphs achieving certain bounds are found.
Parkinson's Disease Detection on Unbalanced Speech Data using Convolutional Neural Networks
Authors: Mrs. A. G. Phakatkar
Published: September 2024

Parkinson’s disease is a progressive condition impacting movement and communication. Initially, symptoms manifest primarily in speech difficulties, which worsen over time, affecting aspects such as pitch and articulation. Detecting signs of Parkinson's disease often relies on analysing speech patterns. In this study, a Convolutional Neural Network is utilized for Parkinson's speech detection. Convolutional Neural Network excels in capturing subtle spatial structures and local patterns, crucial for discerning the nuanced pitch, rhythm, and phonetic traits of individuals with Parkinson’s disease. The research employs acoustic voice measures like jitter and shimmer as speech input parameters, utilizing a dataset sourced from the UCI machine learning repository. The dataset exhibits a class imbalance problem. To address the class imbalance issue Synthetic Minority Over-sampling Technique algorithm is used. The Convolutional Neural Network algorithm significantly enhances Parkinson’s disease voice detection exhibiting a remarkable accuracy of 91.52% outperforming traditional machine learning approaches.