bluuebunny/crossref_metadata_2025 huggingface dataset:
Перспективные методы повышения скорости передачи информации в каналах метеорной связи
Authors: Сердюков Владимир Семенович , Белов Сергей Павлович , Орехов Андрей Олегович
Published: April 2024

В статье предложены перспективные направления развития и способы реализации каналов метеорной связи, позволяющие существенно увеличить коэффициент использования канала. Применение многонаправленной антенной решетки позволяет увеличить соотношение сигнал/шум на приемной стороне, не увеличивая энергетические затраты. Также применение предварительной оценки образовавшегося метеорного канала связи на передающей стороне позволит увеличить начальный объем передаваемых данных за счет применения многопозиционной модуляции в момент, когда электронная плотность канала максимальна. Актуальность исследований в данном направлении обусловлена увеличением реализации удаленного взаимодействия между территориально распределенными абонентами с применением метеорных инфокоммуникационных систем.
Построение спектрограмм звуковых сигналов на основе субполосных представлений
Authors: Болдышев Алексей Владимирович , Медведева Александра Александровна , Прохоренко Екатерина Ивановна , Гайворонская Диана Игоревна
Published: April 2024

В работе описывается одно из направлений исследования звуковых сигналов – анализ звуков с использованием спектрограмм как средства визуализации динамического изменения интенсивности частотных составляющих сигнала. Ввиду того, что звук и, в частности, речевые сообщения, остается наиболее естественной формой обмена информацией, данное направление востребовано в различных технологиях, связанных с обработкой звуковых данных. Спектрограммы применяют студии звукозаписи для очистки от шумов музыкальных произведений, записанных на старые аналоговые носители. В технологиях распознавания речи человека спектрограммы являются перспективным источником данных для анализа формантного состава звуков речи с помощью нейронных сетей, ориентированных на анализ изображений. Поэтому получение изображения высокой четкости и контрастности, позволяющее устойчиво выделять форманты и в музыке, и в речи, представляется актуальной задачей. Известные алгоритмы построения спектрограмм основаны на применении дискретного преобразования Фурье, что обусловлено наличием алгоритма быстрого преобразования (БПФ), существенно сокращающего затраты на вычисления. В работе отмечаются недостатки алгоритма БПФ, которые могут возникать при исследовании свойств речевых сигналов, и представлен новый метод построения спектрограмм на основе субполосных представлений. В основе метода лежит использование субполосных матриц. В работе продемонстрирована эффективность предлагаемого подхода, которая заключается в более четком отображении областей сосредоточения энергии анализируемого звукового сигнала, по сравнению с известными методами.
Определение наиболее перспективных видов экономической деятельности для развития горнодобывающей хозяйственной системы мезоуровня в условиях новых глобальных вызовов
Authors: Склярова Екатерина Александровна
Published: April 2024

В статье на основе анализа динамики добычи полезных ископаемых в России обосновано, что интенсивность функционирования горнодобывающих хозяйственных систем является индикатором экономического развития мировой экономики. Показано, что новые глобальные вызовы геополитического генезиса привели к снижению объемов добычи полезных ископаемых по сравнению с аналогичным периодом 2020 года. Экономические кризисы существенно подрывают экономику горнодобывающих хозяйственных систем мезоуровня, стратегическим направлением развития которых является диверсификация экономики с целью снижения зависимости от сырьевых доходов и повышения сбалансированности регионального бюджета. Для выявления наиболее перспективных, способных дать максимальный финансовый результат видов экономической деятельности одной из горнодобывающих хозяйственных систем мезоуровня – Белгородской области – была предложена авторская методика на основе модифицированной матрицы BCG; все виды деятельности, осуществляемой в регионе, были разделены на четыре категории, на основании чего были определены направления их государственной поддержки.
Условия и перспективы развития приграничного и межрегионального торгово-экономического сотрудничества в зоне российско-китайского порубежья
Authors: Юйсинь Ян , Фанюнь Су , Камышанченко Елена Николаевна
Published: April 2024

Поиск дополнительных резервов для экономического и социального развития регионов России является постоянной задачей для системы регионального управления. Регионы обширной зоны Российско-Китайского порубежья образуют специфический пространственный периметр со своими особенностями, проблемами и факторами ускорения социально-экономической динамики. Проблемам регионального социально-экономического развития субъектов Российско-Китайского порубежья уделяется в отечественной науке недостаточно внимания в силу дефицитарного характера эмпирической базы, сложности наблюдения самого объекта, отдаленности полигона от основных научно-исследовательских центров и отсутствия фундаментальных наработок научно-методологического и прикладного характера. Именно по этим причинам проблемы социально-экономической динамики пространственного периметра Российско-Китайского приграничья до сих пор не получили должного научно-методического обеспечения. Исходя из этого, целью предпринятого исследования является получение достоверных эмпирических оценок, позволяющих вскрыть перспективы пространственно-экономического развития приграничных регионов Российско-Китайского порубежья. Исследование проводилось на основе методологии пространственного анализа функционирования границ как элементов экономического каркаса. В результате исследования были сформулированы рекомендации по активизации пространственно-экономического взаимодействия рассматриваемых регионов. Установлен дефицитарный характер инфраструктурного обеспечения периметра Российско-Китайского межрегионального взаимодействия. Результаты исследования вносят вклад в научно-методическое обеспечение пространственной и региональной экономики, могут быть использованы при разработке документов, активизирующих и регламентирующих социально-экономическое развитие приграничных территорий в России.
Анализ, моделирование и прогнозирование динамики валового регионального продукта на основе производственной функции
Authors: Вавилова Дайана Дамировна , Зерари Раян
Published: April 2024

Валовой региональный продукт выступает ключевым показателем социально-экономического развития и, одновременно, результатом производственного процесса на уровне региона. Математическое представление взаимосвязи результата производственного процесса с различными факторами, как правило, описывается производственной функцией. В настоящем исследовании отражена методика построения производственной функции Кобба – Дугласа для выявления зависимости валового регионального продукта от таких факторов производства, как трудовые ресурсы, производственный капитал и инвестиции. Анализ, моделирование и прогнозирование динамики валового регионального продукта выполнены на примере одного из регионов Российской Федерации – Удмуртской Республики. Статистической базой исследования выступают годовые данные по социально-экономическим показателям Удмуртской Республики за период 2000–2022 гг. Оценка параметров производственной функции показала, что в экономической системе региона присутствует дефицит трудовых ресурсов. Что касается прогноза динамики валового регионального продукта Удмуртской Республики, то до 2030 года ожидается снижение его темпа в среднем на 0,9 % в год (в сопоставимых ценах 2022 года).
Теория управления конфликтными противоречиями заинтересованных сторон при трансформации систем управления
Authors: Митенков Алексей Владимирович
Published: April 2024

В последние годы общество переживает глобальные и локальные изменения практически во всех сферах жизнедеятельности. Это касается и менеджмента организации. Так, трансформации системы управления (или бизнес-трансформации) становятся условием успешного функционирования организаций. При этом любые изменения всегда приводят к противоречиям и разногласиям заинтересованных сторон, устранение и преодоление которых служит залогом результативной трансформации системы управления. Исследование состоит из двух частей, что объясняется масштабностью и сложностью самой темы, как с точки зрения теоретических подходов, так и с точки зрения практического опыта реализации на проектах трансформации системы управления. В первой части исследования представлены результаты теоретического обзора проблемы использования фасилитации в контексте устранения противоречий и конфликтов заинтересованных сторон в трансформациях системы управления организаций. Исследование опирается на теорию о движущей силе конфликта, который приводит к развитию и является потенциалом для позитивных изменений. В рамках работы описаны виды и уровни конфликтов. Представленный материал может быть использован как для теоретического ознакомления, так и с целью реализации этапов процесса фасилитации на практике в работе с конкретными организациями при трансформации систем управления.
Рынок образовательных продуктов и услуг высшей школы Российской Федерации: маркетинговая характеристика и тренды 2018–2024 гг.
Authors: Кучерявенко Светлана Алексеевна
Published: April 2024

Актуальность вопросов состояния образовательного рынка связана с трансформацией национальной системы высшего образования, жесткой конкуренцией университетов на региональном, национальном и внешнем образовательном рынке, а также с кардинальными изменениями в деятельности высшей школы, причинами которой послужила масштабная цифровизация всех процессов системы менеджмента университета и стремительное развитие дистанционных образовательных технологий. Целью данной работы является исследование современного рынка образовательных продуктов и услуг высшей школы Российской Федерации. Информационно-аналитической базой исследования выступила поисковая система eLibrary.Ru и официальные статистические источники информации по проблеме исследования. В статье представлены маркетинговые характеристики и тренды 2018–2024 гг., результаты анализа состояния, основных тенденций и приоритетных направлений дальнейшего развития образовательного рынка продуктов и услуг высшей школы Российской Федерации; обоснована необходимость формирования эффективной маркетинговой стратегии и внедрения процедур маркетингового контроля в образовательных организациях высшей школы для обеспечения конкурентоспособности. Полученные результаты могут быть интересны в рамках разработки и корректировки маркетинговой стратегии или политики в области маркетинга образовательной организации высшей школы.
Grain composition analyzer SAPFIR
Authors: Романов А.Ю. , Петров Г.П. , Рутковская Т.С. , Ванина Л.В.
Published: April 2024

Статья посвящена актуальной на сегодняшний день проблеме определения общего и фракционного содержания сорной и зерновой примесей в соответствии с ГОСТ 30483-97 «Зерно. Методы определения общего и фракционного содержания сорной и зерновой примесей; содержания мелких зёрен и крупности; содержания зерен пшеницы, поврежденных клопом-черепашкой; содержания металломагнитной примеси» [1]. Автор приходит к выводу, что существующий метод определения общего и фракционного содержания сорной и зерновой примесей в соответствии с указанным ГОСТ 30483-97 является морально устаревшим и неэффективным, и предлагает новый подход к определению общего и фракционного содержания сорной и зерновой примесей на основании анализа цифровых изображений с помощью нейронных сетей. Целью статьи является представление анализатора «САПФИР», реализующего оптико-компьютерный метод как инновационный способ автоматизации процедуры определения общего и фракционного содержания сорной и зерновой примесей. В статье систематизирован новый материал по исследуемой теме, вводится в научный оборот термин «оптико-компьютерный метод». Основное внимание в работе автор акцентирует на описании принципа работы анализатора «САПФИР» как программно-аппаратного решения для определения общего и фракционного содержания сорной и зерновой примесей. Автор обобщает практический опыт эксплуатации анализатора «САПФИР» на предприятиях Республики Татарстан, Сибири, Республики Беларусь, на основе которого устанавливает возможные области применения анализатора «САПФИР» для зерновых культур. Особое внимание уделяется значимости стандартизации нового метода определения общего и фракционного содержания сорной и зерновой примесей и разработке предварительного национального стандарта «Зерно. Определение общего и фракционного содержания сорной и зерновой примесей оптико-компьютерным методом», который поспособствует активному внедрению новых методов анализа в повседневную лабораторную практику.
Navigating Global Markets: Insights into Ceramic Firm Performance and Market Entry Strategies
Authors: Shrikant Ratley. Syed Wajid Ahmed,
Published: April 2024

Analyzing the intersection of market entry strategies and ceramic firm performance in the international market, this study offers insights into the dynamics shaping the competitiveness of U.S. ceramic firms abroad. By examining the strategic decisions guiding market selection and entry modes, this research sheds light on the factors influencing the success of ceramic enterprises on the global stage. This article delves into the intricacies of market entry strategies adopted by U.S. ceramic firms as they venture into international markets. It explores the strategic decisions made regarding market selection, distinguishing between English- and non-English-speaking countries, and the various modes of entry employed, including exporting, licensing, joint ventures, subsidiaries, and retail stores. The findings from a comprehensive analysis of 57 firms engaged in international markets unveil a significant trend: firms targeting culturally similar markets, particularly English-speaking ones, tend to achieve superior revenue generation and overall performance compared to those entering non-English-speaking countries. Additionally, through a cluster analysis, the study identifies four overarching modes of entry ranging from straightforward direct exporting to more intricate strategies integrating subsidiaries and retail outlets abroad. Surprisingly, the mode of entry doesn't exhibit a clear association with performance outcomes. This suggests a cautious approach by U.S. ceramic firms, opting for markets with lower levels of uncertainty, primarily through export activities.
A comparative review of subsea navigation technologies in offshore engineering projects
Authors: Osayi Philip Igbinenikaro  , Oladipo Olugbenga Adekoya  , Emmanuel Augustine Etukudoh
Published: April 2024

Subsea navigation technologies play a critical role in enhancing precision and efficiency in offshore engineering projects. This comparative review examines the evolution and application of subsea navigation systems, with a focus on improving precision in offshore construction and surveying. The study evaluates various subsea navigation technologies, including acoustic positioning systems, inertial navigation systems, and optical imaging systems, highlighting their capabilities and limitations. The review begins by discussing the historical development of subsea navigation technologies, tracing their evolution from early acoustic systems to modern integrated solutions. It then explores the key components and operation principles of each technology, providing insights into their functionalities and suitability for different offshore applications. The study also examines the challenges and advancements in subsea navigation, including issues related to signal interference, accuracy, and real-time data processing. It discusses how these challenges have been addressed through technological innovations, such as improved sensor technologies and advanced data fusion algorithms. Furthermore, the review assesses the practical application of subsea navigation technologies in offshore engineering projects, including pipeline installation, subsea infrastructure maintenance, and underwater surveying. It analyzes case studies and industry practices to illustrate the effectiveness of these technologies in improving precision, reducing costs, and mitigating risks in offshore operations. Overall, this comparative review provides a comprehensive overview of subsea navigation technologies in offshore engineering projects. It highlights the evolution, capabilities, and applications of these technologies, emphasizing their role in enhancing precision and efficiency in offshore construction and surveying. The study concludes with recommendations for future research and development to further improve the performance and reliability of subsea navigation systems in offshore operations.
Neutrophil to lymphocyte ratio (NLR) as a surrogate marker of diabetic nephropathy
Authors: Manjot Kaur  , Gaurav Sharma  , Shadab Samad  , Sunil Kumar Gupta
Published: April 2024

Background and objectives: Diabetic nephropathy and retinopathy are microvascular complications of diabetes. Nephropathy is clinically manifested as an increase in urine albumin excretion. Total white blood cell count is a crude but sensitive indicator of inflammation and studied in many cardiac and non-cardiac diseases as an inflammatory marker such as acute myocardial infarction, stroke, and heart failure. In this study, the association of neutrophil to lymphocyte ratio (NLR) with diabetic nephropathy and retinopathy. Methods: This was a prospective observational study performed on patients with diabetic nephropathy +/- retinopathy. A total of v104 subjects diagnosed with 3type 2 diabetes mellitus registered in this study. NLR was calculated by analyzing differential leukocyte count in complete blood picture. Spot Albuminuria was tested by immune turbidimetry method. Urine creatinine was tested by jaffe’s kinetic method by which spot urine microalbumin to creatinine ratio is calculated. ANOVA, Independent t-test, chi-square test, Karl Pearson correlation were applied to find significance. P<0.05 was considered as statistically significant. Results: Totally 104 diabetic subjects were registered, 52 subjects had DN and 52 had normal urine albumin. Mean±SD NLR for a normal group is 2.5±1.1 and in DN group is 3.4±1.4 which was highly significant (P =0.001). Conclusion: Our study showed that there was a significant relation between NLR and DN; and positive correlation between NLR and urine microalbumin to creatinine ratio. Therefore, NLR may be considered as a novel surrogate marker of DN.
To assess the incidence of vitamin D deficiency in patients receiving OHA, with comparison of metformin vs non-metformin groups
Authors: Ravi Kumar Singh  , Gaurav Sharma  , Manjot Kaur  , Gagan Saxena
Published: April 2024

If gastrointestinal symptoms from metformin use can create an environment conducive to the malabsorption of vitamin B12, it Is probable that vitamin D could also be malabsorbed. This could adversely affect treatment efficacy as well as expose certain patient populations to the risk of symptoms of vitamin D deficiency. Currently, no published studies have examined the effect of metformin on vitamin D levels in a population of patients with diabetes. Hence, this study focuses on the incidence of deficiencies of vitamin D in patients with type 2 diabetes on treatment with metformin (Biguanide) and compare with those on other OHAs.
Conceptualizing sustainable offshore operations: integration of renewable energy systems
Authors: Osayi Philip Igbinenikaro  , Oladipo Olugbenga Adekoya  , Emmanuel Augustine Etukudoh
Published: April 2024

This paper conceptualizes sustainable offshore operations through the integration of renewable energy systems, focusing on the adoption of solar-powered systems for remote applications. Drawing on Osayi's experience in this field, the paper proposes frameworks for the adoption of renewable energy in offshore operations, highlighting key considerations and strategies for successful implementation. The integration of renewable energy systems in offshore operations is essential for reducing environmental impact, increasing energy efficiency, and ensuring long-term sustainability. Osayi's experience with solar-powered systems for remote applications provides valuable insights into the challenges and opportunities associated with this integration. The proposed frameworks for the adoption of renewable energy in offshore operations encompass several key elements. Firstly, a thorough assessment of energy needs and resources is essential to determine the feasibility and potential benefits of integrating renewable energy systems. Secondly, careful planning and design are crucial to ensure that renewable energy systems are integrated seamlessly into existing offshore operations, taking into account factors such as location, energy demand, and system compatibility. Furthermore, the paper highlights the importance of stakeholder engagement and collaboration in the adoption of renewable energy systems. Effective communication and collaboration between industry stakeholders, regulators, and local communities are essential for overcoming barriers and ensuring the successful implementation of renewable energy projects in offshore operations. Overall, the paper provides valuable insights and frameworks for the adoption of renewable energy in offshore operations, drawing on Osayi's experience with solar-powered systems for remote applications. By integrating renewable energy systems into offshore operations, companies can reduce their carbon footprint, improve energy efficiency, and contribute to a more sustainable future for the offshore industry.
Political security of Ukraine: problems of political and state governance. Predictive assessment, mechanisms of provision
Authors:   Kuras Institute of Political and Ethnic Studies of the National Academy of Sciences of Ukraine, Rafalskiy О. , Kondratenko O. ,   Kuras Institute of Political and Ethnic Studies of the National Academy of Sciences of Ukraine, Zelenko H. ,   Kuras Institute of Political and Ethnic Studies of the National Academy of Sciences of Ukraine, Nikolayets Yu. ,   Kuras Institute of Political and Ethnic Studies of the National Academy of Sciences of Ukraine, Mayboroda O. ,   Kuras Institute of Political and Ethnic Studies of the National Academy of Sciences of Ukraine, Shaihorodskyi Yu. ,   Kuras Institute of Political and Ethnic Studies of the National Academy of Sciences of Ukraine, Pereveziy V. ,   Kuras Institute of Political and Ethnic Studies of the National Academy of Sciences of Ukraine, Kalakura O. ,   Kuras Institute of Political and Ethnic Studies of the National Academy of Sciences of Ukraine
Published: April 2024

The monograph contains an analysis of the current situation and forecasts of possible dangers that could threaten political stability in Ukraine in the context of war, as well as proposals for their neutralization. The authors' analysis of the wartime situation focuses on the problems that are most likely to arise in the exercise of state power, especially in the center-region line, in relations between the country's political actors. The author examines the symptoms of problems observed in the efforts to mobilize the country to resist the aggressor, in the interchurch confrontation in the Orthodox environment, in interethnic relations, and in the geostrategic efforts of the state.
Presence of coral-killing sponges in Okinawan mesophotic coral ecosystems
Authors: Albelda Ritzelle L , Sinniger Frederic , Ise Yuji , Harii Saki
Published: April 2024

Shallow reefs worldwide are degrading due to multiple threats. Mesophotic coral ecosystems (MCEs; 30– 150 m depth) have been investigated for their diversity and potential to serve as a coral refuge and re-seed shallow reefs. However, recent studies showed that MCEs are also disturbed
by various factors, including diseases, pollution, storms, and thermal-induced bleaching. Among the disturbances, coral-killing sponges are also known to decimate many Indo-Pacific shallow reefs but are rarely reported at mesophotic depths. Here, we report the first comprehensive assessment
of the coral-killing sponges Chalinula nematifera (de Laubenfels, 1954) and Terpios hoshinota Rützler and Muzik, 1993 in MCEs. Specifically, we investigated (1) their prevalence, (2) sponge-affected corals, and (3) coral-sponge interaction types at 40 m depth in Okinawa,
southern Japan. We found that C. nematifera and T. hoshinota were present but at low prevalences, with the highest mean cover of 3.8% and 1.8%, respectively. Although both species appeared to be substrate- generalists, they mainly affected the dominant coral taxa, such as branching
corals Acropora tenella and Seriatopora sp. Both sponges mainly interacted with corals by overgrowth, followed by tissue and peripheral contact. Due to lack of prior knowledge, it is unclear whether the current observation of the coral-killing sponges captured their expansion,
decline, or steady state in Okinawan MCEs. Thus, this study provides unprecedented insights about coral-killing sponges at mesophotic depths which highlights the need to monitor more MCEs globally, prioritizing regions with shallow reefs that are already threatened by these sponges.
Harnessing big data for tailored health communication: A systematic review of impact and techniques
Authors: Bisola Oluwafadekemi Adegoke  , Tolulope Odugbose  , Christiana Adeyemi
Published: April 2024

In recent years, the convergence of healthcare and big data analytics has opened new avenues for tailored health communication, enabling personalized interventions and improving healthcare outcomes. This systematic review investigates the impact and techniques of harnessing big data for tailored health communication. The review synthesizes findings from diverse studies spanning healthcare sectors, including public health campaigns, clinical interventions, and patient engagement initiatives. It examines the effectiveness of tailored communication strategies in addressing various health challenges, such as chronic diseases, infectious outbreaks, and mental health disorders. Key findings highlight the significant positive impact of personalized health communication on health behavior change, treatment adherence, and patient empowerment. Big data analytics enable the segmentation of diverse populations based on socio-demographic, behavioral, and clinical characteristics, facilitating the delivery of targeted messages tailored to individual preferences and needs. Personalization enhances engagement, fosters trust, and motivates individuals to adopt healthier lifestyles and adhere to medical recommendations. Furthermore, the review explores the diverse techniques and technologies employed in harnessing big data for tailored health communication. Machine learning algorithms, natural language processing, and predictive modeling are leveraged to analyze vast datasets, predict health outcomes, and tailor communication messages in real-time. Mobile health applications, social media platforms, and wearable devices serve as channels for delivering personalized interventions and collecting real-time health data. However, the review also identifies challenges and limitations, including privacy concerns, data security risks, and the digital divide. Ethical considerations regarding data collection, consent, and transparency are paramount in ensuring the responsible use of big data in health communication. This systematic review underscores the transformative potential of harnessing big data for tailored health communication. By leveraging advanced analytics and technology, healthcare stakeholders can deliver personalized interventions that resonate with individuals, ultimately driving positive health behavior change and improving healthcare outcomes on a population scale.
AI-driven biometrics for secure fintech: Pioneering safety and trust
Authors: Oseremi Onesi-Ozigagun  , Yinka James Ololade  , Nsisong Louis Eyo-Udo  , Damilola Oluwaseun Ogundipe
Published: April 2024

AI-driven biometrics is revolutionizing the security landscape in the financial technology (FinTech) sector, enhancing safety measures and fostering trust among users. This review explores the role of AI-driven biometrics in securing FinTech operations, highlighting its benefits and implications. AI-driven biometrics refers to the use of artificial intelligence (AI) algorithms to analyze biological data for authentication purposes. This technology has gained significant traction in the FinTech sector due to its ability to provide a higher level of security than traditional authentication methods. By analyzing unique biological traits such as fingerprints, facial features, and voice patterns, AI-driven biometrics can accurately verify the identity of users, making it difficult for unauthorized individuals to gain access to sensitive financial information. One of the key benefits of AI-driven biometrics in FinTech is its ability to enhance security measures. Traditional authentication methods such as passwords and PINs are increasingly vulnerable to hacking and fraud. AI-driven biometrics, on the other hand, offers a higher level of security by using biological traits that are unique to each individual. This makes it significantly more difficult for fraudsters to gain access to sensitive financial information. In addition to enhancing security, AI-driven biometrics also improves the user experience. By replacing traditional authentication methods with biometric authentication, users can access their accounts more quickly and conveniently, without the need to remember complex passwords or PINs. This not only improves the overall user experience but also reduces the risk of user error and account lockouts. Overall, AI-driven biometrics is pioneering safety and trust in the FinTech sector by providing a higher level of security and enhancing the user experience. As this technology continues to evolve, it is likely to play an increasingly important role in securing financial transactions and fostering trust among users.
Data analytics for predicting disease outbreaks: A review of models and tools
Authors: Bisola Oluwafadekemi Adegoke  , Tolulope Odugbose  , Christiana Adeyemi
Published: April 2024

The burgeoning field of data analytics has emerged as a pivotal force in the realm of public health, particularly in the context of predicting and mitigating disease outbreaks. This comprehensive review delves into the diverse landscape of models and tools employed in data analytics for disease outbreak prediction. With a focus on synthesizing existing knowledge, the paper aims to provide a nuanced understanding of the strengths, limitations, and future directions within this dynamic field. The review begins with an exploration of various models utilized for disease outbreak prediction, ranging from statistical approaches to machine learning models and epidemiological frameworks. Each model category is scrutinized for its efficacy in capturing the complexities inherent in infectious disease dynamics. Simultaneously, the paper investigates the array of tools and technologies leveraged in disease outbreak prediction, encompassing Geographic Information Systems (GIS), data visualization tools, and big data analytics platforms. A critical aspect of the review lies in the examination of diverse data sources contributing to predictive analytics. Epidemiological data, environmental factors, and the burgeoning influence of social media and web data are dissected for their roles in enhancing the accuracy and timeliness of outbreak predictions. Amidst the promises of data analytics, the paper navigates the challenges inherent in predicting disease outbreaks. Issues of data quality and availability, model complexity, interpretability, and ethical considerations are dissected, providing a holistic view of the hurdles that practitioners encounter. Drawing upon case studies and real-world applications, the review showcases instances where data analytics has proven successful in predicting disease outbreaks, shedding light on both triumphs and setbacks. The implications for public health, lessons learned from challenges, and the evolving role of data analytics in shaping global health preparedness are thoroughly discussed. As the paper unfolds, it illuminates future trends and innovations in the field, foreseeing the integration of advanced technologies, global collaboration for information sharing, and the adaptation of predictive analytics for emerging diseases. The review culminates in a comprehensive conclusion, summarizing key findings and emphasizing the potential transformative impact of data analytics on the landscape of disease outbreak prediction.
C^2 de Rasyonel Cebirsel Eğrilerin İzometri ve Simetrilerinin Hesaplanması
Authors: Gözütok Uğur , Çoban Hüsnü Anil
Published: April 2024

Bu çalışmada, iki boyutlu karmaşık uzayda rasyonel cebirsel eğrilerin izometrilerinin ve simetrilerinin hesaplanması için yeni ve etkili bir algoritma sunulmaktadır. Metot, problemin, karmaşık rasyonel cebirsel eğrilerin parametrizasyonlarına indirgenmesine dayanmaktadır. İki eğri arasındaki karmaşık izometriler, bir üniter matris ve iki boyutlu karmaşık vektörden meydana gelmektedir. Karmaşık izometrilerden etkilenmeyen invaryantlar sayesinde oluşturulan polinom denklemlerinin çözümü çarpanlara ayırma ve en büyük ortak çarpan bulma işlemleri ile bulunacaktır. Bu sayede, doğrusal olmayan büyük denklem sistemlerinin çözümünden sakınılacaktır. Girdi eğrilerinin özdeş olması durumunda metot, karmaşık rasyonel cebirsel eğrilerin tüm üniter simetrilerini tespit etmektedir. Sunulan algoritma, Maple bilgisayar cebir sistemi kullanılarak bilgisayar ortamına uyarlanmış ve bu uyarlama kullanılarak geniş çaplı testler yürütülmüştür.
Crop Classification with Attention Based BI-LSTM and Temporal Convolution Neural Network Combination for Remote Sensing Breizhcrop Time Series Data
Authors: Bandar Amer , Coşkunçay Ahmet
Published: April 2024

In the modern era, remote sensing data has become increasingly useful for determining land use and coverage requirements. Remote sensing data can be used for a variety of purposes, including the classification of crops. It is possible to aggregate remote sensing data for a specific area over time in order to obtain a more complete picture based on the time series of this data. One example of these types of data is the Breizhcrop dataset, which was collected using satellite images acquired by Sentinel 2 over a period of time. This study aims to investigate a neural network based on attention mechanisms using the BI-LSTM layer in conjunction with Temporal-CNN for the classification of crops. The aim of the research is to find a model for corps classification in image-based time series. In line with this goal, in addition to finding features over time, the presented model also needs to produce high-accuracy features at each time step to increase classification. Utilizing the designed neural network, we seek to find local features with the attention mechanism and general features with a second layer. This neural network was validated on the BreizhCrop dataset and we conclude that it performs better than alternative approaches. The proposed method has been compared with Temporal CNN, Star RNN, and Vanilla LSTM networks and it has obtained better results than the mentioned neural networks. Taking advantage of these local and global features that extract with developed model obtained a high accuracy rate of 82%.
Sosyal Ağlarda Merkezilik Ölçütleri Kullanılarak Makine Öğrenmesi İle Etkili Bireylerin Tespiti
Authors: Şimşek Aybike
Published: April 2024

Sosyal ağlardaki etkili bireylerin tespiti, kamuoyu şekillendirme, viral pazarlama, dedikodu yayılımını önleme gibi pratikte birçok alan için önemli bir problemdir. Bunun için her bir bireyin ne kadar etkiye sahip olduğunun, bireyin ağ üzerindeki konumuna göre tahmin edilmesi gerekmektedir. Bu amaçla, bireylerin ağ üzerindeki konumları ile ilgili bilgi veren ağ merkezilik ölçütleri literatürde sıklıkla kullanılmaktadır. Mevcut çalışmaların büyük bir kısmı, sosyal ağlardaki bireyleri etkilerine göre sıralamaya ve bu şekilde en etkili kişileri tespit etmeye çalışırlar. Öte yandan, bir sosyal ağ üzerindeki bireylerin çok küçük bir kısmı gerçekten etkili bireydir. Bu bakımdan, bütün bireyleri etkilerine göre bir sıraya koymaya çalışmak yerine, etkili olabilecek bireyleri ve diğer bireyleri iki sınıfa ayırmak birçok uygulama için yeterlidir. Biz bu çalışmada, etkili birey tespiti problemini ikili sınıflandırma problemi olarak ele aldık. Bireylerin merkeziyet ölçütlerini birer öznitelik olarak belirleyip, Karar Ağacı sınıflandırıcı ile bireyleri etkili ve değil şeklinde sınıflandırdık. Deneysel çalışmalar; Karar Ağacı sınıflandırıcının, temel merkezilik ölçütlerine göre daha başarılı sonuçlar verdiğini göstermiştir.
Theoretical Investigation of the Chemical Reactivity of Acrylic Acid Molecules: A DFT Study with UV-Vis, NMR, and FT-IR Spectroscopy Using STO-3G Basis Set
Authors: Ak Fermin , Kebiroglu Mehmet Hanifi
Published: April 2024

In this paper, quantum computational chemistry methods were employed to calculate the molecular characteristics of acrylic acid. Density Functional Theory (DFT) was used to optimize the molecule at the STO-3G basis set to calculate the highest occupied molecular orbital (HOMO) and lowest unoccupied molecular orbital (LUMO) energy levels of the frontier orbitals of acrylic acid. The energy gap between HOMO-LUMO orbitals was calculated to be 5.545 eV. This demonstrated that the energy gap reflects the chemical activity of the molecule. The compound was characterized by UV-Visible, Nuclear Magnetic Resonance (NMR), and Fourier Transform Infrared (FT-IR) spectroscopy methods.
Políticas públicas de enfrentamento à COVID-19 em Curitiba-PR e Fortaleza-CE
Authors: Castro Lidia , Matos Karina , Fogaça Thiago
Published: April 2024

Contexto: Durante crises sanitárias, como a causada pela COVID-19, a urgência na tomada de decisões altera o processo de processamento de informações, exigindo medidas embasadas em evidências científicas e respeito aos direitos humanos. O objetivo deste estudo foi caracterizar o desenvolvimento da pandemia em Curitiba - PR e Fortaleza - CE, levando em consideração os casos confirmados, óbitos e principais ações adotadas pelo poder público. Métodos: A partir da análise das bases de dados de saúde obtidas em portais online oficiais de divulgação, as curvas de tendência das taxas de incidência e mortalidade por COVID-19 durante 2020 a 2022 dos municípios foram calculadas, representadas e comparadas, sendo associadas à análise das ações adotadas que tiveram como ponto de partida 620 normativas para Curitiba e 351 para Fortaleza. Conclusões: No âmbito das políticas públicas, embora as capitais tenham se voltado aos aspectos administrativos e econômicos, apresentaram pouca ênfase nas áreas de saúde, educação e divergiram nas ações voltadas às questões socioeconômicas, refletindo diferentes estratégias e necessidades locais. Um maior número de ações no início da pandemia pode ter postergado o colapso do sistema de saúde em Curitiba. Já em Fortaleza, observou-se um forte pico de mortalidade entre março e junho de 2020, o que demonstra que as ações adotadas no início da pandemia não foram suficientes para conter a crise no sistema de saúde. Esse número começa a reduzir à medida que mais políticas públicas vão sendo adotadas nos meses seguintes.
Recent Advancement Of Algal Biofuel Production And Its Potential Uses
Authors: Sarker Monisha , Ghosh Semanti
Published: April 2024

The utilization of diverse energy sources is linked to the growth of industry, agriculture, and transportation. After the third generation of biodiesel production began, it was anticipated that algae would emerge as the most advantageous source because it not only can accumulate large amounts of lipids but also has the potential to reduce the amount of agricultural land required for the production of biofuels and enhance air quality by capturing carbon dioxide. In contrast to the price of making biodiesel from crops, the cost of algal biomass cultivation and processing poses a significant issue. The first step is to use genetic engineering to boost the lipid content of algal cells. The promotion of enhanced lipid accumulation by stressing algae is related to the second way. The third direction entails looking for new, promising strains of algae that will differ from the currently recognized strains in their ability to collect biomass more quickly, have greater Triacylglycerols [TAG] concentrations, and accumulate saturated and unsaturated fatty acids in the right ratios. By defining the evolutionary relationships within the main taxonomic groups of algae, a new technique in the search for biotechnologically relevant strains of algae has recently been developed. These investigations have resulted in a significant cost decrease for the manufacture of biofuel based on algae biomass. All of this research aimed at improving algae biofuel production and exploring additional biofuel sources is crucial.
Role Of Lncrna In Alzheimer’s Diseases
Authors: Nath Prabahan , Ghosh Semanti
Published: April 2024

Long noncoding RNA (lncRNA) are a family of RNA molecules with over 200 nucleotides in size. They cannot code for proteins but still have biological activities. lncRNAs are abundantly expressed in the pathogenic process of neurological diseases like Alzheimer’s. The lncRNA EBF3-AS is more expressed in the brains of older Alzheimer's disease patients called late onset Alzheimer’s disease. NAT-Rad18, a lncRNA over synthesized in specific areas of the brain in AD rats. The lncRNA n336694 targets miR-106b which increases its expression. MiR-106b leads to apoptosis markers in cells. oxidative stress-induced injury to the neurons is caused by the lncRNA SOX21-AS1. The lncRNA-ATB is involved in AD pathophysiology and reducing its expression helps with oxidative stress-induced injury. lncRNA MEG3 inhibits inflammatory injury and oxidative stress in individuals suffering from AD. The increase of lncRNA 17A in cerebral tissues of AD patients affects Aβ secretion. BACE1-AS suppression reduces Aβ and BACE1 levels and inhibits tau protein phosphorylation (3). The lncRNA BC200, also known as BCYRN1 upregulates Aβ production through BACE1 modulation which leads to AD pathogenesis. NEAT1 regulates the miR-124/BACE1 axis and plays a role in AD development. Reduced SORL1 expression increases neurotoxic Aβ formation in AD brains. LRP1-AS negatively regulates systemic Aβ clearance during AD progression. GAS5 regulates insulin signaling, neuronal survival, tau phosphorylation, and neuroinflammation. MAGI2-AS3-miR-374b-5p axis modulates neuroinflammation and neurotoxicity caused by Aβ fragment. Upregulation of WT1-AS inhibits the miR-375/SIX4 axis, OSI, and neuronal apoptosis in AD. BDNF-AS is found to be important in AD though the mechanism has yet to be determined. This review study aims to enhance comprehension of the disease progression of Alzheimer's disease (AD) in relation to various long non-coding RNAs (lncRNA).
Review Paper Based On Organic Vertical Farming With Aquaponic Model In Urban Areas
Authors: Mukherjee Saptarshi , nath Sumit
Published: April 2024

The modern agriculture is an evolving approach to new farming practices and agricultural innovations. Vertical and organic farming have gained significant attention due to their potential address the challenges of limited space, water scarcity and the need for sustainable food production whereas hydroponics, aeroponics and aquaponics are innovative cultivation methods that offer efficient and environmentally friendly solutions. Hydroponics involves growing plants in a nutrient water rich water solution, eliminating the need for soil. Aeroponics takes the concept further by suspending plant roots in a moist environment, where nutrient rich solutions are directly sprayed onto the roots. Aquaponics combines hydroponics with aquaculture, creating a symbiotic system where fish or aquatic animals provide nutrients for the plants, while plants filter and purify the water for fish. The combination of this new innovative agricultural practices offers numerous benefits includes higher crop yield, reduce water consumption etc. Further research and development in these areas are essential to optimize system designs, increases productivity and make these methods more accessible.
Project Based Learning (PjBL) For Improving Elementary School Mathematics Learning Outcomes in Banyumas Regency, Indonesia
Authors: Siswadi Siswadi , Tiwan Tiwan , Dharin Abu
Published: April 2024

The purpose of this study was to improve students' mathematics learning outcomes through the implementation of the PjBL model. This research is a Classroom Action Research with the Kemmis & McTaggart model with stages: planning, action, observation, and reflection carried out in 2 cycles. Research procedure with stages: preparation, implementation, data analysis using descriptive qualitative data analysis, and drawing conclusions. The research was carried out in class VI MI Muhammadiyah Karanglo. The results of the study concluded that: 1) The application of the project based learning (PjBL) learning model can improve student learning outcomes seen from the increase in student mathematics learning outcomes which has increased from an average of 75.08 in cycle I to 85.68 in cycle II, the score the median increased from 74 to 85, the standard deviation decreased from 10.26 to 7.21, the lowest score of 54 increased to 70, the highest score from 94 to 100, and the range of scores decreased from 40 to 30; 2) The distribution of frequency and percentage levels of achievement scores of learning outcomes from cycle I to cycle II shows that there is an increase in the category of student learning outcomes in the high category increasing from 22.58% to 54.84% and the very high category also experiencing an increase from 9.68 % to 32.26%.
RNA-Based vaccine manufacturing: infrastructure, regulations, and global implications
Authors: Fonseca Larissa , Junior Valdir , Malta-Santos Hayna , Ferreira Cristiano , Ferreira Cristiano , Moret Marcelo , Mascarenhas Luis , Andrade Leone , Minafra Cintia , Machado Bruna Aparecida Souza
Published: April 2024

RNA-based vaccines have emerged as a powerful tool in the fight against infectious diseases, including the recent COVID-19 pandemic. However, their successful production requires properly designed facilities for RNA synthesis, purification, and formulation. This review article explores the facility requirements, regulatory aspects, and global implications of specialized RNA vaccine production. It highlights the importance of Good Manufacturing Practice (GMP), equipment and technology in the production process, providing a critical analysis of collaborations, investments, and the establishment of RNA plants around the world. Finally, it addresses the challenges faced by low- and middle-income countries and the role of the "tripod" production model involving collaboration between university, industry, and government. Overall, this document clarifies the most relevant aspects of RNA-based vaccine manufacturing, emphasizing the need for quality, safety, and scalability to meet global health demands.
Loss of sense of belonging in school communities relocated from riverside areas in the Amazon
Authors: Souza Edney Costa , Matos Gleimiria , Lubiana Alessandro , Matos Maria Luiza Costa
Published: April 2024

The feeling of belonging is related to the perception and sensation of being part of something greater, such as a community, a family, a group, or a nation. The present research aimed to analyze whether research participants provide information that could lead to an understanding of the loss of a sense of belonging due to community relocation. The research was methodologically structured as qualitative and descriptive research, as it sought to understand the community's loss of a sense of belonging. The results were obtained through the application of semi-structured interviews in a formative study, revealing that the relocation of the school within the community generated a sense of emotional disconnection and identification with the environment among the people. It is indeed a fact that when someone experiences a sense of belonging, they typically feel integrated, accepted, and valued. Content analysis was conducted based on the results, and the conclusions indicated the loss of a sense of belonging among the interviewees regarding the relocation of the community from the banks of the Madeira River, due to the construction of a hydroelectric plant.