bluuebunny/crossref_metadata_2025 huggingface dataset:
Prospects for application of Russian absorption thermal transformers at CCGT-CHPP
Authors:   Novosibirsk State Technical University, Russian Federation, Mukhin Dmitry G. ,   Kutateladze Institute of Thermophysics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Stepanov Konstantin I. ,   Kutateladze Institute of Thermophysics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Elistratov Sergey L. ,   Novosibirsk State Technical University, Russian Federation
Published: January 2023

The electrical power of power plants based on gas turbines (GT) decreases with an increase in air temperature and, as a result, a decrease in its mass flow at the compressor inlet. This makes it relevant to develop methods for increasing air density by lowering its temperature when wor¬king in hot arid regions and regions with a tropical humid climate. To cool the air, it is proposed to use absorption chillers (LBAC). It is shown that for air cooling in a dry hot climate, it is sufficient to use LBAC with single-stage absorption. For a humid tropical climate, where deeper air cooling is required with a simultaneous decrease in its moisture content, it is proposed to use ABCM with two-stage absorption, which are capable of producing cold at negative temperatures. To do this, it is proposed to introduce an additional evaporation and absorption unit with peri¬pheral equipment into the standard industrial design of the LBAC with single-stage absorption. Comparative energy efficiency of LBAC of standard design and LBAC with two-stage absorption during air cooling at the GT compressor inlet has been evaluated. For such critical facilities for the Russian economy as gas pumping stations using gas turbines, an LBAC unit with two-stage absorption and removal of absorption heat by water-circulating cooling systems based on cooling towers, or using air coolers (drycoolers) with the ability to turn off an additional evaporation unit if necessary, is proposed. and absorption.
Classification and localization analysis of hydrogen production projects
Authors:   Samara State Technical University, Russian Federation, Kazarinov Artem V. , Derevyanov Maksim Y. ,   Samara State Technical University, Russian Federation, Pleshivtseva Yuliya E. ,   Samara State Technical University, Russian Federation
Published: January 2023

The analysis of hydrogen projects is based on the information presented in the open database of the International Energy Agency (IEA) which contains 1327 projects for the production of hydrogen and products based on it, implemented in more than 100 countries around the world. It is proposed to use two classification approaches to identify the current trends in the development of hydrogen projects. The first approach is based on the project classification according to their implementation period, and the second one uses the classification of project implementation stages proposed in the IEA database. The complex application of the described approaches makes it possible to carry out a systematic analysis of the data presented in the IEA database. Projects using electrolysis technologies for hydrogen production are considered separately from projects using alternative technologies. The geographical localization of projects was analyzed following the place of their implementation in one of the four regions of the world: Europe, Asia, America, and Oceania with Africa. The distribution of project capacities by country is presented for all regions. It has been established that the global capacity of electrolysis projects for hydrogen production has reached 310?MW, and, with the successful implementation of 350 promising projects currently being developed, their total capacity can reach 65 GW by 2030. In addition, about 80 concept projects with a total capacity of more than 230 GW are in the early stages of development. If all these promising projects are implemented, the total volume of hydrogen production, taking into account electrolysis projects, can reach more than 50 million tons by 2030, which will contribute to the achievement of global decarbonization goals. The results of the analysis allow us to conclude that currently, projects for hydrogen production and products based on it are rapidly developing in the world, mainly due to the ambitious hydrogen strategies of the countries of the European Union and the UK.
Analysis of approaches to functioning of an autonomous unmanned vehicle and a surface ship in joint missions
Authors:   Saint Petersburg Federal Research Center of the Russian Academy of Sciences, Saveliev Anton I. , Krestovnikov Konstantin D. ,   Saint Petersburg Federal Research Center of the Russian Academy of Sciences, Erashov Aleksei A. ,   Saint Petersburg Federal Research Center of the Russian Academy of Sciences
Published: January 2023

Autonomous unmanned vehicles can successfully solve a variety of civil, scientific and military tasks. Robotic complexes of this class demonstrate their high efficiency when performing seismic surveys, hydrochemical monitoring of water areas and inspection of technical facilities of various purposes. Vehicles powered by a rechargeable battery, as a rule, have a very limited power reserve, and require periodic replenishment of the battery charge. The physical properties of the operating environment impose significant limitations on the communication methods used, which complicates the transfer of information between the operator and an autonomous unmanned submersible. Delivery of the vehicle to the mission site, as well as providing power to the vehicle and information exchange with the operator require some additional infrastructure. This paper focuses on finding and selecting solutions for transportation, power and communications support for autonomous underwater vehicles. The constructional solutions of underwater docks and general principles of building systems for ensuring the operation of this type of vehicles are considered, and a classification of approaches to the energy supply of underwater vehicles is made. Based on the analysis the most perspective solutions ensuring long-term autonomous operation were selected. Docking stations with the ability to lift and dive an underwater vehicle directly inside the station have a number of operational advantages. The use of contact methods for energy and information transfer requires high accuracy of underwater vehicle positioning and complication of its sensor system, as well as application of special methods for protection of contact pairs from environmental impacts. These disadvantages are deprived by wireless solutions, which are actively introduced at present.
Mergers and Acquisitions for Business Sustainability in Emerging Markets During a Vague Era: A Literature Analysis
Authors: Ogendo Joan Lilian , Ariemba Jared
Published: January 2023

Mergers and acquisitions are the most popular modes of external corporate growth. Business sustainability, which seeks present returns without compromising the ability to earn returns in the future, has come under serious challenges in an environment of uncertainty. While academic literature suggests that in periods of fundamental uncertainty, there is a decline of mergers and acquisitions, this paper analyses an emerging body of research that suggests that merger and acquisition deals in a vague era actually deliver more value compared to those made in normal economic conditions, which most empirical studies do not deliver much value for the acquirer. This paper therefore suggests that firms in emerging markets can use mergers and acquisitions during a downturn to deliver superior value to shareholders. It also argues that mergers and acquisitions are a corporate governance issue, because it is at the board level that the overall strategy of the firm is implemented, including the various growth options of the firm. However, further research on merger and acquisitions during a vague era need to be conducted in various regions of emerging markets.
Sustainability in an Emerging Market – In the context of the Top Management
Authors: Withanage Eshari , Dutzi Andreas
Published: January 2023

The concept of CSR is still novel to Sri Lanka and firms in the country, and the adoption of the concept is in the initial phase. Scholars in developing countries are conducting studies based on CSR. This study aims to explore how and to what extent firms in emerging countries can conduct CSR activities; the types of benefits the firms can enjoy from CSR-driven activities; and the types of benefits that society can gain from CSR. This study provides insights into identifying existing CSR practices and analyze the benefits that they can generate. The study was conducted using 50 of the highest market capitalized firms listed on the Colombo Stock Exchange, Sri Lanka. The target group comprised 70 board of directors of the selected firms. A structured questionnaire was used for collecting data. The board of directors who responded believed that the most vital criteria in the CSR pyramid are economic responsibility. This response indicates that firms need to prioritise generating profits and then use their earnings for the wellbeing of society.
A RANDOMIZED, OPEN, CONTROLLED STUDY TO EVALUATE THE EFFICACY AND SAFETY OF PEDIAFLÙ® (DIETARY SUPPLEMENT) ALONG WITH STANDARD OF CARE IN CHILDREN WITH ACUTE TONSILLOPHARYNGITIS / RHINOPHARYNGITIS VERSUS STANDARD OF CARE ONLY v2
Authors: Cardinale Fabio
Published: January 2023

Pediatrica Srl develop a dietary supplement (DSPP) with extract of Pelargonium sidoides (Pelagon P 70™), specific for paediatric age for the well-being of the airways. The scientific literature currently available shows that the extract ofPelargonium sidoides may be effective in the treatment of disorders affecting the respiratory tract. Moreover, the DSPP also contains zinc, honey, and propolis. A long tradition of use and literature support the use of zinc, propolis and honey for seasonal disease prevention and/or in the acute phase of colds. In addition to this, the specific formulation of propolis (PropolNext® PLUS) contained in the DSPP showed to be able to inhibit bacterial growth to a much greater extent if compared to simple propolis. The DSPP is currently on the market in Italy as adjuvant in seasonal diseases and its effectiveness has been evidenced in the daily clinical practice of thousand of paediatricians in this country. The present clinical trial was planned to confirm the results of standard clinical practice. Therefore, its aim was to explore if in paediatric patients affected by acute tonsillopharyngitis / rhinopharyngitis (ATR) a 6-day administration of the tested DSPP along with the standard of care (SoC) could improve the ATR symptomatology in comparison with patients receiving SoC alone.
SAHDA: Sequence Alignment from Haplotype De Novo Assembly v1
Authors: C Blackwell Joseph
Published: January 2023

SAHDA is a Snakemake based workflow tool designed identify and analyse genes/features of interest within small haplotype genomes. The workflow will assemble haploid genomes de novo from short paired-end reads, create a local BLAST database and query genes of interest. Where genes of interest are detected, a multiple alignment is performed for each gene. The tool also allows the input of intermediary files meaning that a combination of both raw sequencing libraries and assembled genomes can be investigated simultaneously. Primary input: Raw paired end sequencing libraries fastq.gz Optional intermediary inputs/outputs: Trimmed paired end sequencing libraries fastq.gz De novo genome assembly fasta Local BLAST database for each assembly BLAST search results for each query on each assembly Retrieved fasta sequences for each query on each assembly Primary output: Multiple alignment fasta file for each query. GitHub repository: https://github.com/JoeBlackSci/SAHDA
Kişilik Özelliklerinin İnfertil Kadınlarda Anksiyete ve Depresyon Gelişimi Üzerine Olan Etkileri
Authors: ŞAHİN Merve , KARAASLAN Mehmet Fatih , ŞAHİN Hamza
Published: January 2023

Amaç: Bu çalışmada infertil kadınların kişilik özelliklerinin anksiyete ve depresyon gelişimi üzerine olan etkilerinin araştırılması amaçlandı. Gereç ve Yöntemler: Çalışmaya, Ocak 2015-Agustos 2016 tarihleri arasında tüp bebek merkezine ve kadın doğum polikliniğine başvurmuş olan sırası ile 67 infertil ve 61 fertil kadın olmak üzere toplam 128 kişi dahil edildi. İnfertil grubu primer veya sekonder infertilitesi olup infertilite tedavisi planlanan veya başlanan kadınlar oluşturdu. Kontrol grubunu ise birden fazla sayıda çocuğu olan fertil kadınlar oluşturdu. Her iki gruba Beck Anksiyete Ölçeği (BAÖ), Beck Depresyon Ölçeği (BDÖ), Eysenck Kişilik Anketi (EKA) ve Çift Uyum Ölçeği (ÇUÖ) uygulandı. Bulgular: İnfertil ve fertil gruplar arasında yaş gruplarının dağılımı açısından anlamlı bir fark tespit edilmedi. Bununla birlikte BAÖ, BDÖ ve ÇUÖ toplam ortalama puanları infertil grupta anlamlı olarak daha yüksek tespit edildi. Kişilik ve çift uyum ölçeklerinde nörotizm, yalan, çift doyumu, çift uyumu ve sevgi alt ölçekleri ortalama puanları infertil grupta anlamlı olarak daha yüksek bulunurken; dışa-dönüklük, psikotizm ve çiftlerin bağlılığı alt ölçekleri ortalama puanları açısından iki grup arasında anlamlı bir fark izlenmedi. Korelasyon analizinde nörotizm ile anksiyete ve depresyon arasında pozitif yönde; dışa-dönüklük ile anksiyete ve depresyon arasında negatif yönde zayıf bir ilişki bulundu. Sonuç: Bu çalışmaya göre infertil kadınlarda nörotizm kişilik özelliğine sahip olanların anksiyete ve depresyon gelişimine daha yatkın olabileceği düşünülebilir.
Особенности формирования доверия к власти в эпоху цифровых трансформаций (региональная практика Ростовской области)
Authors: Баранов Алексей Викторович , Котлярова Ольга Владимировна
Published: January 2023

Исследовательский интерес работы, представленной в статье сосредоточен на цифровых трансформациях, направленных на улучшение открытого диалога между обществом и властью. Такой диалог является основным фактором формирования доверия к власти со стороны населения. Проанализирован спектр наиболее актуальных работ, посвященных цифровым трансформациям государственного управления. Поднимается вопрос о барьерах, мешающих формированию цифровой ментальности гражданского общества современной России. В статье анализируется эффективность региональной практики, когда многофункциональные центры оказания государственных и муниципальных услуг (МФЦ) выступают в роли общественных приемных органов власти и организаций. Эта практика включает в себя также онлайн консультирование граждан по широкому спектру правовых вопросов. Исследование специфики реализации данного проекта демонстрирует, что своевременная информационная поддержка властных структур, полноценное онлайн-консультирование населения по наиболее проблематичным вопросам способствуют росту процента удовлетворенности граждан и поддерживают уровень доверия к власти со стороны гражданского общества.
Инфраструктура электронного участия на уровне муниципальных образований Санкт-Петербурга: медиаэкологический подход
Authors: Мисников Юрий Георгиевич , Филатова Ольга Георгиевна
Published: January 2023

В статье представлены результаты исследования инфраструктуры электронного участия в муниципальных образованиях Санкт-Петербурга с точки зрения медиаэкологии. Утверждается, что для того, чтобы получить более глубокое представление об эволюции сервисов электронного участия, предоставляемых с помощью цифровых средств, возникает необходимость в более тщательном учете основных свойств медиа, которые внедряют и размещают сервисы электронного участия — как с точки зрения технологий, так и с точки зрения социальной практики. Хотя до настоящего времени не выявлено никаких доказательств того, что электронное участие достаточно созрело для формирования целостной системы участия граждан на местном уровне, экосистемный подход, примененный в исследовании в качестве его теоретической основы, может иметь потенциал для объяснения некоторых из полученных результатов. Отмечается, что результаты исследования на низовом уровне в Санкт-Петербурге соответствуют и более широким глобальным тенденциям, таким как доминирование предоставления информации и отставание интерактивных форм электронного участия (сотрудничества, делиберации и участия в принятии решений) в муниципалитетах во всем мире. В исследовании также выявлено, что размер муниципального образования практически не влияет на набор доступных сервисов электронного участия.
Разработка правил моделирования перемещения пешеходов
Authors: Буров С.С. , Парыгин Д.С. , Рашевский Н.М.
Published: January 2023

Одной из неотъемлемых составляющих городской мобильности является пешеходное движение. Прогнозирование перемещения людей становится требованием безопасности и комфорта жизнедеятельности как в условиях ограниченных пространств крупных объектов инфраструктуры или мест проведения мероприятий, так и в густонаселенных урбанизированных территориях в целом. В статье рассматриваются вопросы моделирования движения людей с точки зрения различных подходов к построению моделей, а также при применении спектра современных специализированных программных комплексов. Предлагаются правила моделирования перемещения акторов в условиях модели открытой городской среды на основе приоритета базовых активностей человека. Описываются основные особенности реализации программного комплекса модулей и тестовое моделирование с его помощью на участке карты города.
Классификация программного обеспечения для моделирования аргументации и делиберативных рассуждений
Authors: Лисанюк Е.Н. , Прокудин Д.Е.
Published: January 2023

Мы предлагаем подход к разработке комплексной классификации программных приложений, программного обеспечения и информационных систем, предназначенных для моделирования и репрезентации аргументации, делиберативных рассуждений широкого профиля, поддержки процессов принятия решений и формирования навыков аргументации и критического мышления. Основанием классификации служит разработанный в результат проводимого исследования и обоснованный корпус критериев, которые определяют функциональные особенности такого ПО, и которые необходимо учитывать при разработке ПО для моделирования аргументации, особенно ПО с функцией оценки аргументов и поиска решений. В классификации учитываются разработанные типы обоснований и контраргументации, концептуальные основания и строение аргументов разных видов, включая делиберативные аргументы. Разработанные ранее используются в классификации как существенные характеристики.
Предлагаемый подход соответствует традиционным представлениям и
общепринятым стандартам классификации программного обеспечения, а также отражает специфику подобного программного обеспечения. Подход нацелен поддержать рациональный и обоснованный выбор программных систем и приложений для применения в решении пользовательских задач в академическом, исследовательском и образовательном сообществах. Предлагаемая классификация может быть востребована специалистами различных сфер деятельности, в которых при решении профессиональных задач применяются методы моделирования и использования аргументации и делиберативных рассуждений.
Границы и содержание инфосферы цифровой гуманитаристики
Authors: Антопольский А.Б.
Published: January 2023

Обсуждаются методические вопросы создания справочно-информационной системы по цифровой гуманитаристике, которую совместно проектируют ИНИОН РАН и Сибирский федеральный университет. Основные вопросы – это тематические и институциональные границы инфосферы данной дисциплины, а также состав объектов, которые целесообразно отражать в системе. Обсуждается создание русскоязычной онтологии по цифровой гуманитаристике, возможности для ее разработки различных источников.
Актуальные тенденции развития российского рынка онлайн-образования по изучению иностранных языков в контексте развития отечественного и зарубежного онлайн-образования
Authors: Елисеева А.А. , Федосов А.Ю. , Елисеева Д.Ю. , Мнацаканян О.Л.
Published: January 2023

В статье представлен анализ актуальных тенденций в развитии онлайн-образования как одной из самых быстроразвивающихся сфере глобального образования на основе данных корпорации HolonIQ. Рассмотрен функционал цифровой платформы корпорации HolonIQ, генерирующей информацию по вопросам, связанным с EdTech и охватывающей большой объём всемирного рынка онлайн-образования, показаны результаты мониторинга рынка образовательных технологий, дана характеристика образовательных платформ, предлагающих различные он-лайн услуги: тьюторинг, изучение языков, международный рекрутинг, интенсивное развитие навыков, эксклюзивные курсы, системы онлайн администрирования, управление учебными программами.
В статье приведены результаты анализа рынка онлайн-образования в России: выявлены основные участники рынка, дана краткая характеристика объёма рынка и перспективы его развития, дана характеристика основных (лидирующих) игроков рынка дополнительного образования и дополнительного профессионального образования. Рассмотрены современное состояние и тенденции развития рынка онлайн-образования по изучению иностранного языка и соответствующие образовательные платформы.
Отдельно рассмотрен модульный курс по изучению английского языка для детей школьного возраста, дана общая характеристика, описана структура курса, содержание его составных элементов (модулей), степень соответствия потребительским предпочтениям.
N-body simulations: advantages and problems
Authors:   Taras Shevchenko national University of Kyiv, Parnovsky S.
Published: January 2023

The N-body simulations method is widely used in astrophysics and cosmology. The article briefly lists its advantages, disadvantages and possible errors. It is concluded that the results of computer simulation not only cannot replace the data of astronomical observations, but also are not a sufficient reason to reject new hypotheses that do not have other drawbacks, other than the discrepancy between their conclusions and the results of N-body simulations.
Effect of the source ellipticity on light curves in extragalactic gravitational lens systems
Authors:   Taras Shevchenko national University of Kyiv, Zhdanov V.
Published: January 2023

Gravitational microlensing of elliptical sources in the linear caustic approximation is considered, based on the formula for the power-law distribution of brightness over the source plane; , where . This expression is convolved with the brightness amplification of the point source (linear caustic approximation). We have constructed the total amplification coefficients (amplification curves) that allow us to estimate the increase in the integral brightness of the source in microlensing processes for various orientations with respect to the linear caustic. The averaged amplification curves are built within the framework of a simplified statistical model when the source is crossed by linear caustics with an isotropic distribution of velocities (with fixed caustic strength and velocity modulus) , . The value of appears to be independent of the model parameter . The resulting estimates are qualitatively consistent with the conclusions obtained for the Gaussian source model, although there are differences related to the shape of the source brightness distribution. The results show that in view of the accuracy of the modern photometry, the effects of ellipticity are significant; however, they are obscured by other effects due to various conditions of a specific microlensing event. Moreover, registration of the ellipticity signal in real observations requires long-term monitoring with a large number of microlensing events.
The Effectiveness of Journalistic Associations and Syndicates in Algeria: A Survey Study on Algerian Journalists
Authors:   Taras Shevchenko national University of Kyiv, Badji Yakoub , Bourahli Wafa ,   Mohamed Boudiaf University, Algeria
Published: January 2023

This article examines the development of journalistic associations and syndicates in Algeria since independence, as well as explains the most essential shortcomings and difficulties of these entities in Algeria which could undermine journalistic practice's improvement and prosperity. The study sought to evaluate and assess the level of journalistic associations by using an online survey of 25 members of media associations and unions to explore its effectiveness on Algeria's media landscape. As a result, journalistic association and syndicate demonstrated the critical needs for a more democratic environment in order to carry out their duty effectively without any restrictions, based on the autonomy, pluralism, and diversity in Algeria media landscape.
Chronic diseases in the context of integrated health and social care
Authors: Krom Irina L. , Yeremina Maria G. , Sapogova Maria D. , Petrov Gennady S.
Published: January 2023

The task of improving the quality of medical care for patients with chronic diseases is considered a priority for the healthcare system, which requires a personalized model of medical and social care focused on the needs of patients with chronic pathology. The article aims to conceptualize the continuum of interdisciplinary care for patients with chronic diseases in disease conditions. The levels of integrated medical and social care for patients with chronic diseases are determined, according to the authors, by the dynamics of the patients quality of life mediated by the relevant condition of the disease. This article presents the practice of multilevel integration of medical and social care for patients with chronic diseases in disease conditions. The authors believe that prospective studies of the content of integrated care related to the study of the optimal ratio of medical and social components of the continuum in disease conditions will help solve the complex problem of improving the quality of medical care for patients with chronic diseases.
Achievements and prospects for the application of artificial intelligence technologies in medicine: an overview. Part 1
Authors: Berdutin Vitaly A. , Abaeva Olga P. , Romanova Tatyana E. , Romanov Sergey V.
Published: January 2023

On a global scale, a radical transformation of the healthcare sector is taking place right before our eyes. Health care systems in many countries are changing at an incredible pace under the pressure of innovative digital platforms that have gained popularity under the names of artificial intelligence (AI) and machine learning (ML). AI systems, powered by massive amounts of data collected from everywhere, are able to guarantee optimal decision making for key players in the healthcare industry, from the pharmaceutical industry to the smallest healthcare providers. This article presents the results of the analysis of achievements and prospects for the use of innovative digital technologies and platforms in modern health care. According to international experts in medicine, it is possible to automate 36% of functions, primarily at the levels of data collection and analysis, and the use of AI technologies can significantly increase the gross profit of firms and organizations in relation to medical activities. There is no doubt about this since information has already become the main driver of management across all sectors of the global economy in general and in the health care sector in particular. The main motivations for the penetration of AI into health care are the escalating costs and the urgent need to limit them, the problem of poor-quality diagnostics (up to 30% of ongoing studies turn out to be unreliable or are misinterpreted) and the desire for standardization and automation of routine functions up to the creation of self-managed diagnostic models. However, the biggest challenge for AI in healthcare is not whether these technologies will be useful enough, but how to ensure that they are quickly and efficiently implemented in everyday clinical practice.
Health-saving behavior and quality of life of military pensioners of working age in the process of their re-socialization after discharge from military service: qualitative and quantitative study
Authors: Prisyazhnaya Nadezhda V. , Dubogray Evgeniy V. , Аgapova Ekaterina G.
Published: January 2023

BACKGROUND: The problem of resocialization of military pensioners of working age in the civilian community is currently one of the urgent problems of both the state and society. Being a potential labor resource, this social group faces the need for a radical restructuring of its lifestyle and trajectories of labor activity (employment), the need for professional retraining.
OBJECTIVE: The purpose to study the features of the resocialization of military pensioners of working age in the main areas of its course, as well as to identify the main problems of the process of their resocialization.
MATERIALS AND METHODS: The article presents studies implemented using the methods of focus group discussions (two focus groups n=9, n=5), a questionnaire using a standard questionnaire for determining the quality of life SF-36 (n=413) and an authors questionnaire (n=413).
RESULTS: The health-saving behavior of military pensioners is contradictory: on the one hand, they strive to preserve the useful health-saving habits acquired in the army (sleep and nutrition, commitment to sports) and at the same time note a two-fold decrease in physical activity; they understand the value of health, putting it in first or second place in the system of value orientations, and at the same time demonstrate a decreased the level of their own health-saving behavior, not paying enough attention to prevention and timely access to medical care. One of the most important motives for the re-socialization of modern military pensioners is the desire to maintain a high level and quality of their lives, as well as the lives of their families, which is significantly reduced due to their retirement.
CONCLUSION: Socially useful qualities and skills acquired by respondents during military service should be used as much as possible in the process of their re-socialization into civil society. It will not only help military pensioners adapt, but will also contribute to solving a number of personnel and demographic problems at the level of public administration, as well as strengthening the practices of social solidarity in modern Russian society.
Reklamlarda Demarketing (Pazarlamama) Stratejisi Kullanımının Tüketicinin Reklama Tutumuna Yansıması
Authors: ŞİŞLİ Fatma , URALTAŞ Nazlım
Published: January 2023

Bir ürüne yönelik talebi azaltmaya ya da arttırmaya çalışan demarketing stratejisi, aşırı ya da az olan talebi düzenlemek için kullanılmaktadır. Sürekli artış gösteren bir talep yerine değer ve kalite yaratmaya odaklanan bu stratejinin reklamlarda kullanımı, tüketicilerin davranışlarını değiştirip, yaşam kalitesini arttırmaktadır. Günümüzde çevre ve sürdürülebilirlik gibi konuların öneminin artmasıyla birlikte demarketing stratejileri hakkında daha fazla çalışma yapılmaya başlanmıştır. Yerli literatürde demarketing stratejisiyle ilgili az sayıda çalışma bulunmakta olup, bu çalışmada demarketing strateji daha kapsamlı bir şekilde ele alınmış ve deneysel araştırma yöntemi kullanılarak sonuçlar oraya konulmaya çalışılmıştır. Bu bağlamda, çalışmada geleneksel, demarketing ve genel reklam arasında tüketicilerin tutum, algısal öncül ve satın alma niyetleri arasında fark olup olmadığı deneysel araştırma yöntemiyle nicel olarak incelenmiştir. Örneklemini, üniversite öğrencilerinin oluşturduğu çalışmada, yapılan t – testi analizine göre, geleneksel reklama maruz kalan katılımcıların bilgilendirme unsurları demarketing reklamlarına oranla daha yüksektir. Ayrıca kontrol grubu katılımcılarının bilgilendirme unsurları ve satın alma niyetleri demarketing stratejisi kullanılan reklamlara göre daha yüksek, rahatsız edicilik unsurları ise daha düşüktür. Kontrol grubu katılımcılarının reklama yönelik tutumları, satın alma niyetleri, algılanan eğlence ve bilgilendirme unsurları geleneksel reklamlara göre daha yüksek, rahatsız edicilik unsurları ise daha düşüktür.
Efficient simulation of constantQusing coarse-grained memory variables
Authors: Day Steven M.
Published: January 2023

Improvements in computing speed have progressively increased the usable bandwidth of seismic wave-field simulations computed with time-stepped numerical schemes (e.g., finite difference, finite element, pseudospectral). As computational bandwidth increases, anelastic losses become increasingly significant for some important applications such as earthquake ground-motion modeling, whole earth seismogram simulation, and exploration seismic profile modeling, and these losses need to be included in the simulations. As bandwidth increases, however, the memory variables necessary to incorporate realistic anelastic losses account for an increasing proportion of total computational storage requirements, a consequence of the broad relaxation spectrum of typical earth materials. To reduce these storage requirements, we introduce a new method in which the memory variables are coarse grained, that is, redistributed in such a way that only a single relaxation time is represented at each node point (and therefore a single memory variable per stress component is required). Guided by a perturbation analysis, we effect this redistribution in such a way that spatial variability of this single relaxation time simulates the full relaxation spectrum. Such coarse graining reduces memory-variable storage requirements by a factor of 8 for 3D problems or a factor of 4 for 2D problems.

In fourth-order finite-difference computations for the 3D acoustic-wave equation, the method simulates frequency-independent Q within a 3% tolerance over 2 decades in frequency, and it is highly accurate and free of artifacts over the entire usable bandwidth of the underlying finite-difference scheme. These results should also hold for the elastodynamic equations. The method is readily generalized to approximate specific frequency-dependent Q models such as power laws or to further reduce memory requirements. In its present implementation, the main limitation of the method is that it generates artifacts at wavelengths equal to 4 grid cell dimensions and shorter, which may, in some limited circumstances, overlap the usable bandwidth of very high-order finite-difference and/or pseudospectral schemes.
Retos y amenazas de la revolución tecnológica en el ámbito de los derechos humanos
Authors: Cardona Rubert María Belén
Published: January 2023

Las tecnologías digitales abren nuevos escenarios para la vida en sociedad, para la economía y las relaciones interpersonales. Son muchos los retos y desafíos frente a los que nos sitúan la revolución tecnológica como sociedad. Las tecnologías abren nuevos horizontes al papel regulador del Derecho y a la labor de los profesionales del Derecho, llamados a encontrar el equilibrio entre la utilización de las tecnologías y el respeto a los derechos y libertades del individuo. Estamos ante desafíos globales, un cambio de paradigma y de época. Nuevos retos para los que hay que hallar soluciones aterrizadas en la realidad concreta y desde la perspectiva garantista de los derechos. El gran reto es proteger y garantizar el derecho fundamental a la protección de datos en un contexto público-privado de aceleración de la  innovación, transformación digital, de fomento de la economía de datos y de generalización de aplicación de la inteligencia artificial, desde una visión holística de la sociedad y la economía y con una perspectiva inclusiva, ética y garante de los derechos humanos.
THE EFFECT OF EMOTIONAL INTELLIGENCE LEVELS OF TOURISM STUDENTS ON THEIR CRITICAL THINKING DISPOSITION
Authors: Kan Sönmez Neslihan
Published: January 2023

When considering the necessities of this age, critical thinking is a primary skill that tourism students should be qualified in. Investigation on the critical thinking disposition of tourism students and emotional intelligence, which is an effective factor on it, can guide tourism academics on how to provide students with effective critical thinking. In this regard, this study aimed to determine the effect of the emotional intelligence levels of the undergraduate tourism education students on their critical thinking disposition. A survey was utilized as data collection tool, and it was administrated on a total of 471 students from undergraduate tourism schools of 5 different universities, including 3 faculties and 2 colleges. The data were analyzed by frequency, percentage distribution, arithmetic mean, standard deviation, t test, analysis of variance and Pearson correlation analysis. The research concluded that students' emotional intelligence levels and critical thinking dispositions were quite above the medium level. In addition, a positive and strong correlation of r=0.671 was specified between emotional intelligence levels and critical thinking dispositions of the students. It was also found out that students' emotional intelligence levels and critical thinking dispositions showed significant differences according to the variables of gender, academic success and monthly expense.
Identification of Photovoltaic Panel MPPT Using Neuro-Fuzzy Model
Authors: Abdelaziz Aouiche , El Moundher Aouiche , Chaima Aouiche , Hanane Djellab
Published: January 2023

A photovoltaic (PV) panel produces energy that is influenced by external factors including temperature, irradiation, and the fluctuations in the load related to it. The PV system should perform at maximum power point (MPP) in order to adjust towards the rapidly increasing interest in energy. Because of the changing climatic conditions, it becomes has a limited efficiency. In order to maximize the PV system's efficiency, a maximum power point technique is necessary. In the present paper a maximum power point (MPP) of photovoltaic (PV) panel is designed and simulated to optimize system performance, accurate synthesis model based on the hybrid neural fuzzy systems is proposed to directly obtain the MPP. So, photovoltaic panel (PV) is analyzed with the mathematical model to obtain the training data. Three cases were used to test the identification of the structure proposed. The results show neuro-fuzzy (Sugeno Model) used were efficient in modeling the MPP of our PV panel. The Mean square error (MSE) is used as the fitness function to guarantee that the MSE is small, the algorithm synthesis model is validated by the MPP PV Panel analysis, simulation, and measurements. Neuro-fuzzy models is presented throughout this paper to demonstrate the effectiveness of the method of training suggested.
Recent Breakthroughs and Improvements in Phase Change Material Melting in a Triple-Tube Thermal Storage Unit
Authors: Rashid Farhan Lafta , Basem Ali , Khalaf Fouad Abdul Ameer , Abbas Mohammed H. , Hashim Ahmed
Published: January 2023

PCMs have a huge storage capacity, improved heat transfer capability, and a constant operating temperature. PCMs have a weak conduction heat transfer coefficient, which slows melting and reduces energy storage. To increase thermal energy storage system efficiency, performance augmentation technologies are being developed. These strategies include using fins, metal foams in PCMs, and high-thermal-conductivity nanoparticles. This article presents a complete overview of experimental, numerical, and experimental and numerical investigations on melting enhancement of phase change material in triplex-tube thermal energy storage. Fins, nanoparticles, and both are used. This article reviews works on melting enhancement of phase transition material in triplex-tube thermal energy storage. In addition, recent findings and research developments will be summarized. This article covers setting up, examining settings, and discovering results.
A New UAV-Based Social Distance Detector for COVID-19 Outbreaks Reduction, Using IoT, Computer Vision and Deep Learning Technologies
Authors: Othman Nashwan Adnan , Aydin Ilhan
Published: January 2023

Nowadays, we are living in a dangerous environment and our health system is under the threatened causes of Covid19 and other diseases. The people who are close together are more threatened by different viruses, especially Covid19. In addition, limiting the physical distance between people helps minimize the risk of the virus spreading. For this reason, we created a smart system to detect violated social distance in public areas as markets and streets. In the proposed system, the algorithm for people detection uses a pre-existing deep learning model and computer vision techniques to determine the distances between humans. The detection model uses bounding box information to identify persons. The identified bounding box centroid's pairwise distances of people are calculated using the Euclidean distance. Also, we used jetson nano platform to implement a low-cost embedded system and IoT techniques to send the images and notifications to the nearest police station to apply forfeit when it detects people’s congestion in a specific area. Lastly, the suggested system has the capability to assist decrease the intensity of the spread of COVID-19 and other diseases by identifying violated social distance measures and notifying the owner of the system. Using the transformation matrix and accurate pedestrian detection, the process of detecting social distances between individuals may be achieved great confidence. Experiments show that CNN-based object detectors with our suggested social distancing algorithm provide reasonable accuracy for monitoring social distancing in public places, as well.
A Pose Estimation Algorithm for Multimodal Data Fusion
Authors: Chen Ning , Wu Shaopeng , Chen Yupeng , Wang Zhanghua , Zhang Ziqian
Published: January 2023

In response to the problem that the previous pose detection systems are not effective under conditions such as severe occlusion or uneven illumination, this paper focuses on the multimodal information fusion pose estimation problem. The main work is to design a multimodal data fusion pose estimation algorithm for the problem of pose estimation in complex scenes such as low-texture targets and poor lighting conditions. The network takes images and point clouds as input and extracts local color and spatial features of the target object using the improved DenseNet and PointNet++ networks, which are combined with a microscopic bit-pose iterative network to achieve end-to-end bit-pose estimation. Excellent detection accuracy was obtained on two benchmark datasets of LineMOD (97.8%) and YCB-Video (95.3%) for pose estimation. The algorithm is able to obtain accurate poses of target objects from complex scenes, providing accurate, real-time and robust relative poses for object tracking in motion and wave compensation.
Intelligent Recognition of Key Frame Target Behavior in Video Surveillance Based on Lightweight Convolution Neural Network
Authors: Mao Chuanzhong , Wu Cuicui , Sun Xiangqun , Ji Ronghua , Zhang Jin
Published: January 2023

In the analysis and processing of massive surveillance videos, target behavior recognition is an important task. Most researchers pay more attention to the lightweight of convolution operators in intelligent recognition systems or increase the complexity of lightweight modules, but lack of lightweight research on point-by-point convolution modules which occupy a large number of parameters and computation. For this reason, this article carries out the research on intelligent recognition of key frame target behavior in video surveillance based on lightweight convolution neural network. The three-dimensional position information of bone joints is extracted as the target behavior feature. Based on local vector aggregation descriptor, it makes a more compact representation of key frames of the surveillance video, and gives the generation process of local vector aggregation descriptor. After the structured pruning of the filter, the memory occupation of the processed network model is significantly reduced, and the lightweight of the model is realized. Experimental results verify the effectiveness of the model.
Deep Learning Based Semantic Segmentation Technique for Anomaly Detection on Metal Surfaces Using High Calibre U- Shaped Network
Authors: Vengaloor Reshma P , Muralidhar Roopa
Published: January 2023

Automatic detection of anomalies on the metal surface is an essential capability in industries to provide the better-quality control. To locate and identify the type of defect, it is necessary to find the Region of interest (RoI) from the captured image. Segmentation of the captured image is one among the many methods to achieve this task. Therefore, a precise and accurate segmentation method has major role to improve the metal surface anomaly detection rate in industry. As the defects are different in it’s size, shape and type, the process of semantic segmentation for metal surface is considered as a challenging task. To address this issue, a deep learning based high calibre U- shaped network is proposed. It can be considered as an automatic quality control system for industries. The proposed method is effective in predicting the presence of defects. The system is also capable to locate the position of the defect on surface without the intervention of human being. The up-sampling technique provided with the convolutional neural network in the architecture makes the system to produce high resolution outputs. The proposed system has been evaluated based on accuracy, precision, loss and IoU after training and testing the model using two different datasets called NEU metal surface defect database and Kolektor surface defect data set.
Contribution to Single-Channel Fetal Electrocardiogram Identification
Authors: Ziani Said
Published: January 2023

This paper presents the recognition of fetal ECG signals from a single-channel recording. The Continuous Wavelet Transform generates a two-dimensional representation of a single-dimension input containing fetal electrocardiogram waves, which are accurately located and isolated. By segmenting this 2D representation using Otsu's method, the continuous wavelet transform of each wave may be estimated. The temporal expression of the wave is then rebuilt by calculating the Inverse Continuous Wavelet Transform. The continuity between each sample allows us to follow the waves from one image to the next. Consequently, the complete profile can be automatically processed.
Classification and Retrieval of Commodity Images Oriented to Internet Marketing
Authors: Yuan Shijiao
Published: January 2023

Commodity display images oriented to Internet marketing play an important role in the supply and demand interaction and two-way communication between marketing personnel and consumers. Traditional commodity image classification is mainly conducted manually by the staff of online shopping platforms or the store maintenance staff, which is heavy in workload, high in cost and low in efficiency. To this end, this article studies classification and retrieval of commodity images oriented to Internet marketing. In this study, coarse-grained emotion is taken as priori information, and an image emotion classification network based on joint polarity detection is constructed. This article discusses the association rules between the color and texture of commodity images, the shape, styling features and contained emotion of concrete commodities. Besides, this article puts forwards an emotion-based retrieval method of commodity images oriented to Internet marketing, and presents a concrete train of thought of this method. The experimental result verifies the effectiveness of the classification and retrieval method of commodity images.