bluuebunny/crossref_metadata_2025 huggingface dataset:
Sustainability and corporate governance mechanisms in mexican beef production
Authors: Jaimes-Valdez Miguel Ángel , Jacobo Hernández Carlos Armando , Ochoa-Jiménez Sergio
Published: January 2023

Sustainability is a topic that has experienced a growing interest in recent years within the academic world, and at the same time, it manifests itself as a particular inconsistency of the business sector, who use it as a means to improve their image, setting aside its vision of great significance. In order to achieve the fundamental purpose of sustainability, the corporate governance model has been an evolving subject in recent years. This is due to the fact that even though the mechanism still endures, it has little to do with the balance of social and environmental benefits. In Mexico, cattle ranchers have faced several problems, such as the difficulty of marketing with intermediaries. In response, this quantitative study has been carried out in order to identify a possible relationship between sustainability and corporate governance, through the testing of six hypotheses. The findings show a positive correlation between corporate governance mechanisms (formal and efficiency) and sustainability dimensions (economic, social, and environmental). This provides further evidence of the complexity of sustainability and corporate governance issues.
Strategic Opportunities Aspect of CSR for Improving Location Advantages in Developed and Emerging Markets
Authors: ILIEVA Maria Vasileva
Published: January 2023

This case study examines how a Japanese company uses CSR and ESG activities to incorporate a new global expansion strategy and strengthen its stakeholders’ relations in different locations around the world. The author uses a case study method with a single setting, and multiple units of analysis and pattern matching among 39 regions and countries, divided into home and host countries. The host countries are additionally divided into ‘developed’, ‘emerging’, and ‘least developed’. This study contributes to the extant literature by showing that both developed and emerging markets create strategic assets for the company. It also proved MNE’s stakeholders in emerging and developed markets determined the CSR practices because many developed countries need CSR activities to support vulnerable groups within their societies. This study explores the under-researched area of MNEs’ CSR activities regarding poverty and development in least-developed countries.
MDL-LDA Agile Method v2
Authors: Prianes Freddie
Published: January 2023

As a guide in modeling the document labels using Latent Dirichlet allocation for archived documents in an Integrated Quality Assurance System (IQAS), the researchers used the agile method as it promotes flexibility, speed, and, most importantly, continuous improvement in developing, testing, documenting, and even after delivery of the software. Since the phases of this model are light, the teams are not bound by a rigid systematic-based process on pre-set constraints and restrictions as some other models, like the waterfall model, and can adjust changes whenever they are needed. This flexibility on every stage propagates creativity and freedom within processes. Furthermore, development teams can modify and re-prioritize the backlog, allowing for speedy implementation.
Электронное участие в российских регионах: результаты мониторинга 2020–2022 гг.
Authors: Панфилов Георгий Олегович , Чугунов Андрей  Владимирович , Кабанов Юрий Андреевич
Published: January 2023

За последние несколько лет в системе электронного участия в России наметился тренд на централизацию и усиление роли федеральной власти в развитии каналов «обратной связи» на региональном и муниципальном уровне. Данная статья обозначает некоторые контуры научной дискуссии, необходимые для дальнейшего теоретического и эмпирического осмысления этих изменений. В статье представлены результаты мониторингового исследования электронного участия в России, осуществленного Центром технологий электронного правительства Университета ИТМО в течение трех лет (2020–2022). В рамках исследования обследовались каналы электронного участия в России шести основных типов, созданных органами власти субъектов РФ и органами местного самоуправления городов, являющихся административными центрами субъектов РФ. Исследование проводилось по методике, разработанной в 2019–2020 гг. и позволяющей оценивать различные инструменты электронного участия и проводить межрегиональные и кроссплатформенные сравнения. На начало 2022 г. было найдено и оценено 194 актуальных канала электронного участия, созданных органами власти регионов и 122 канала – органами местного самоуправления. Мониторинг позволил зафиксировать динамику в количестве и качестве рассматриваемых каналов за три года. В результате выявлено сокращение количества каналов электронного участия, созданных и поддерживаемых по инициативе исполнительных органов государственной власти субъектов и муниципалитетов, что свидетельствует об усилении тенденций централизации и роли федерального центра в этих вопросах. Статья представляет обобщение результатов, полученных весной 2022 года, и тем самым предваряет серию публикаций с более подробным изложением и интерпретацией собранного за три года материала.
Изучение социокультурного интернет-пространства города через анализ поведения пользователей в системах социального обмена
Authors: Кононова О.В. , Прокудин Д.Е. , Гаевская Е.Г. , Козырева А.И.
Published: January 2023

Статья посвящена актуальной тематике развития социокультурного
интернет-пространства современного города как важнейшего компонента городской
среды, обеспечивающего коммуникацию членов городского сообщества, сохранение
культурного наследия, просвещение и передачу культурного кода от поколения к
поколению, воспроизводство и создание новых культурных объектов и связей.
Актуальность определяется тем, что в современных исследованиях социокультурного
пространства не учитывается в полной мере огромный социальный опыт людей,
практически формирующих социокультурное пространство современного города.
В данной статье представлен подход к исследованию социокультурных
интернет-пространств на основе анализа поведения пользователей сервисов городских
интернет-систем, включающих или объединяющих различные системы социального
обмена (Social Sharing Environments), социальные сети (Social networks), социальные
платформы (Social Platforms), социальные СМИ (Social Media), киберпространства и
кибер-экосистемы (Cyber Spaces and Cyber Ecosystems). Исследуемые сервисы
рассматриваются через взаимосвязи со всеми элементами социокультурного
пространства как в реальном, так и в виртуальном информационном воплощении. На
основе анализа взаимосвязей, которые представляют собой информационные потоки,
выявляются роли и функциональные особенности основных элементов
социокультурного интернет-пространства, а также выявляются типы поведения
пользователей, их предпочтения в этих системах.
Влияние интернета на коммуникативную компетентность поколения Z и сетевые возможности его обучения
Authors: Толстикова И.И. , Игнатьева Ольга Анатольевна , Кондратенко К.С. , Плетнев А.В.
Published: January 2023

Поколенческий анализ является важным направлением в социологической и политологической науке, так как позволяет вскрыть особенности каждой возрастной когорты как субъекта и объекта общественных отношений. Новое тысячелетие дало путь новому поколению – поколению Z, формирование которого проходило и проходит под сильным влиянием информационно-коммуникационных технологий. В России это поколение появилось позже, чем на Западе в силу технологических особенностей развития страны. Сегодня поколение зуммеров становится все более и более активным актором социальных, экономических и политических отношений, что требует более пристального внимания к нему со стороны ученых и политиков. Исследований в области социализации поколения Z в России пока немного, особенно исследований, основанных на эмпирических данных, поэтому группа ученых из Санкт-Петербургского университета, Университета ИТМО и Санкт-Петербургского университета МВД старается восполнить данную лакуну, в течение трех лет занимаясь изучением разных аспектов социализации и развития коммуникативных компетенций поколения Z в России с использованием эмпирического материала. Целью данной статьи является подведение предварительных результатов исследований, проведенных с 2019 по 2022 годы, а также постановка задача на новый период. В указанные годы на основании выборки из студенческой молодежи и школьников г. Санкт-Петербург были исследованы особенности социализации поколения Z под воздействием интернета, его склонности к конструированию реальности и социального капитала, ценностному профилю и перспективам смешанного обучения. Вышеназванные результаты нашли отражение в данной статье.
Анализ взаимосвязей субъективных оценок жителей города и цифровых оценок из геоинформационных социальных сетей
Authors: Низомутдинов Б.А. , Углова А.Б. , Козырева А.И.
Published: January 2023

В работе рассмотрена возможность использования результатов автоматизированного анализа отзывов из геоинформационных социальных сетей для анализа городских объектов. Реализован комплексный подход с учетом ценностно-эмоционального капитала жителей, проведен анализ общественного мнений, выраженного в отзывах в социальных сетях. Описана тематическая структура отзывов, а также модель сбора данных их геоинфомрационных сервисов, которая в дальнейшем будет использована для конкретизации проблем и ресурсов различных экологических зон города. С целью верификации данных, полученных с помощью автоматизированного анализа был проведен опрос жителей о качестве городского пространства. Выявлена высокая согласованность субъективных оценок жителей районов и цифровых оценок из геоинформационных социальных сетей. Исследование проводилось на примере парков и скверов в 18 районах Санкт-Петербурга. Было отобрано 302 объекта городского благоустройства (парки, сады, скверы).
Исследование способов привлечения добровольцев в проекты добровольных распределенных вычислений
Authors: Курочкин И.И. , Григорьев К.В. , Корлякова Е.Ю. , Шилина А.М. , Юрасова Елена Петровна , Якимец Владимир Николаевич
Published: January 2023

Добровольные распределенные вычисления один из способов решения
вычислительно сложных задач. Но кроме технических задач по сопровождению распределенных вычислений необходимо решать и задачи по привлечению новых добровольцев и удержанию их внимания. Сообщество добровольцев в настоящий момент насчитывает миллионы людей по всему миру. Предпочтения и мотивация членов этого виртуального сообщества меняются. Интерес к участию в решении сложной научной задачи должен быть подкреплен не только популярным объяснением алгоритма проводимых вычислений, но и персонифицированными результатами и элементами геймификации. Использование различных способов мотивации добровольцев позволяет привлечь в проект дополнительные вычислительные ресурсы. Соревновательный эффект и элементы игры, такие как получение виртуальных призов и именных сертификатов за достижения позволяют удержать внимание добровольцев к проекту длительное время. В данной работе предлагаются результаты опроса добровольцев, проведенного в конце 2021 года. Приводится анализ способов взаимодействия с виртуальным сообществом добровольцев. Рассматриваются способы удержания внимания добровольцев к проекту распределенных вычислений. Предлагается к внедрению в проект добровольных распределенных вычислений новый элемент геймификации – развитие игрового персонажа в формате Zero Player Game.
Виртуальный школьный музей как средство историко-патриотического воспитания обучающихся
Authors: Мудракова О.А. , Орлова С.П.
Published: January 2023

Цель патриотического воспитания школьников заключается в развитии таких качеств как любовь и уважение к своей семье, традициям, уважение к истории своей страны. Одновременно, наряду с очевидными проблемами, новый формат обучения предоставляет широкий спектр возможностей и перспектив для изменения и совершенствования образовательных систем, для которых критическая ситуация создает форсированные условия. Цель данной статьи: показать возможности использования виртуального школьного музея в системе историко-патриотического воспитания обучающихся.
В государственной программе «Патриотическое воспитание граждан Российской Федерации на 2021—2024 годы» определено патриотическое воспитание как систематическая и целенаправленная деятельность органов государственной власти, институтов гражданского общества и семьи по формированию у граждан высокого патриотического сознания, чувства верности своему Отечеству, готовности к выполнению гражданского долга и конституционных обязанностей по защите интересов Родины.
В ходе изучения научно-методической литературы были выявлены характерные черты понятия виртуальный музей, характеристики и принципы создания и использования виртуального музея в историко-патриотическом воспитании обучающихся школ, тенденции дистанционного образования, плюсы и минусы его реализации. В настоящее время в процессе учебной деятельности активно используется Интернет, позволяющий решить целый ряд проблем, связанных с расширением культурно-образовательного пространства обучающихся, реализацией принципа наглядности, независимо от временного и пространственного расположения ученика, учителя и изучаемого объекта. Появление виртуальных музеев и активное внедрение их в систему высшего и школьного образования представляет значительный скачок в обучении. Создание школьного виртуального музея дало положительный эффект в воспитательном и образовательном процессе, прежде всего в плане патриотического воспитания.
Media trust among university students during the COVID-19 pandemic in Ukraine
Authors:   Taras Shevchenko national University of Kyiv, Rizun Volodymyr , Tukaiev Sergii ,   Taras Shevchenko national University of Kyiv, Havrylets Yurii ,   Taras Shevchenko national University of Kyiv, Vasheka Tetiana ,   National Aviation University of Kyiv, Enzminger Andreas ,   Vienna University of Economics and Business, Grimm Jürgen ,   University of Vienna, Palamar Borys ,   Bogomolets National Medical University, Olena Dolgova Olena Dolgova ,   National Aviation University of Kyiv, Pravda Oleksandr ,   Taras Shevchenko national University of Kyiv, Makarchuk Mykola ,   Taras Shevchenko national University of Kyiv
Published: January 2023

The worldwide pandemic exacerbated the new role of the media. If pre-viously the discussion was on whether new or traditional media hadprimacy in popularity and exposure, nowadays the question is whethercommunicating health issues through social and traditional media leads to a better understanding of their content and more trust in both types of media. We surveyed Ukrainian university students to examine their a tti-tude towards information on coronavirus presented in the media. Resultsshowed that although students generally prefer to use Internet news, trustin traditional media increased during the pandemic. Furthermore, weexamined a general psychological portrait of young people derived fromtrust in the media. In the group of students who trust media information,we found indifference (39% of respondents) and helplessness(24.4%). In the group, convinced that the media were hiding the actual situation,anger p revailed(32.4%). The third group, confident that the media exag-gerate everything, experienced indifference, and anger(38.5% and32.7%, respectively). We may conclude that desire to learn more accurateand unbiased information firsthand indicates students' attitude towardstraditionalmediaasmorereliablesourcesofinformationinUkraine.
Stigmatizing and negative attitudes in oncology in Russia: prevalence, information aspects and psychological care based on a sociological study
Authors: Dreneva Anna A. , Pravednikov Alexandr V. , Chistyakova Darya P. , Goldman Olga E. , Bogdan Ignat V.
Published: January 2023

BACKGROUND: In Russia, the cancer stigma is quite widespread. At best, it is expressed in pity, at worst in fear and alienation, which puts an even heavier burden on the patient, who not only faces experiences associated with treatment and the disease itself, but also feels guilty and ashamed. The study considered certain aspects of this stigma: the concealment of the diagnosis, the attitude to body changes, the confrontation with the patients new identification, the degree of stigma control by an individual. Additionally, the stigmatization of the need for psychological care which is necessary for cancer patients, as well as their relatives, leads to additional emotional distress. In order to effectively carry out informational and educational work, one needs to understand stigmatizing attitudes in general public and social media.
OBJECTIVE: The goal was to analyze the stigmatizing and negative cancer-related attitudes in the public consciousness and social media in Russia, as well as to understand the related stigma of the need for mental care.
MATERIALS AND METHODS: An all-Russian survey on the stigmatization of cancer and psychological care was conducted on a sample of cancer patients (n=73), close relatives of cancer patients (n=426), and respondents who have no experience with cancer (n=513). Additionally, we carried out a qualitative and quantitative analysis of users messages in social media using keywords, which potentially reflect the cancer-related experience of the author or their relatives (a random subsample of 400 messages from an initial sample of about 150 thousand messages).
RESULTS: The article addresses the issue of stigmatizing cancer in modern Russian society from the concept of I. Goffman. A fairly widespread prevalence of negative and stigmatizing attitudes towards oncological diseases and professional psychological assistance in modern Russian society and in the media were revealed. We found differences among the subsamples in a number of stigmatizing attitudes, as well as the relationship of adherence to them with the age and gender of the respondents. Analysis of social media revealed their contribution to the cancer context as suffering pain, treatment, and financial burden.
CONCLUSION: The shown trends, along with gender and age differences, require differentiated information and educational work with each of the population groups.
The main vectors of the financial support of the health care system of the Moscow region for the period from 2010 to 2021: historical and economic analysis
Authors: Sobolev Konstantin E.
Published: January 2023

Based on a historical and economic analysis of the main vectors of financial support for the health care system of the Moscow region from 2010 to 2021, the author proposes an organizational mechanism for the implementation of the developed plans by creating a regional settlement and economic analytical center, which should gather financial, economic and other information from legal entities of compulsory medical insurance and medical organizations participating in the implementation of the State strategic program of the Moscow region Healthcare Moscow region for 20192024 to analyze the effectiveness of the use of significant allocated funds, and to carry out the current adjustment of the value of tariffs for medical services under the Basic Compulsory Medical Insurance Program, calculated in accordance with the Tariff Agreement for the corresponding calendar year, taking into account the opinion and assessment of all participants in this process, especially the patients themselves.
The impact of the COVID-19 pandemic on the attitude of russians to their health: a sociological analysis
Authors: Ivakhnenko Galina A.
Published: January 2023

The main goal of the article is to identify how the attitude toward their health among Russians has changed during the COVID-19 pandemic. The article systematizes the results of research analysis devoted to the study of this topic and shows that the pandemic has elevated the issue of health to the top of those issues that have been worrying Russians for the past two years and that more than half of the Russian population has become more attentive to the state of their body, particularly the epidemics severity among older people. However, the pandemic in Russia shifted the focus from the widespread care of the population about itself to observing hygienic measures and social distance, and the level of peoples frivolous attitude to their well-being with selfishness in relation to other people. The article also considers the negative consequences of COVID-19 (increased use of alcohol, a change in the diet, constant wearing of masks, etc.) on the health of Russians.
Ekranda Yaşama Kültürü ve Ekran Görüntüsü Olarak İzleyici- İnsan
Authors: DEMİR Sertaç Timur
Published: January 2023

Bu çalışmada gündelik yaşamın ekranlaşırken; ekranların ise insanileştiği fikri öne sürülmektedir. Nitekim bir zamanlar belli mekânlarla sınırlı olarak müstakil mekanizmalardan oluşan ve izleyicinin “karşısına” konumlandırılan ekranlar, gelinen noktada mekânları ve insanları “içine” almaktadır. Televizyonlar, cep telefonları, tabletler, dizüstüler, masaüstü bilgisayarlar, otomobil ekranları, akıllı teknolojiler ve her yerde yanıp sönen reklam panoları modern bireylerin içinde yaşadıkları mekânla, duyumsadıkları zamanla, geliştirdikleri ilişkilerle ve kendi benlikleriyle olan bağlantılarını yeniden biçimlendirmektedir. Öyle ki neredeyse tüm aygıtlara bağlantısı olan ve gündelik yaşamı baştan sona düzenleyen ekranlar, görüntüleri seyretme platformu olmaktan çıkmakta ve bir tür izleyici göze dönüşmektedir. Bu düzenlemede modern insan, çalışmaktan eğlenmeye, öğrenmekten tecrübe etmeye, uyum göstermekten direnmeye kadar birçok yaşamsal edimi bir zamanlar olduğu gibi “ekran vasıtasıyla” değil; artık “ekran olarak” gerçekleştirmektedir. Temelde göze öykünen ve belki de gözü hedef alan bu “ekran kültürü”, dijital yaşamın normlarından biri olmaktadır. Söz konusu hızlı dönüşümün hem öncüllerini görmeye hem de müphem gidişatın izini sürmeye çalışan bu araştırmanın teorik çerçevesini Günther Anders, Jean Baudrillard ve Byung-Chul Han gibi öncü düşünürlerin çalışmaları oluşturmaktadır. Bu amaçla, bu nitel çalışmada son yıllarda oldukça popülerleşen bilim kurgu örneklerinden Black Mirror dizisinin Fifteen Million Merits (On Beş Milyon Hak, 2011) bölümü üzerinden sosyolojik film analizi yürütülmektedir. Bu bölüm, ekran toplumuna dair tartışmaları somutlaştırması ve beslemesi bakımından dikkat çekicidir.
On the cause of ground stress tensile pulses observed before the 1976 Tangshan earthquake
Authors: Qiu Zehua , Zhang Baohong , Huang Xiangning , Ge Liming
Published: January 2023

It has been asserted that earthquakes cannot be predicted (Geller et al., 1997). This may be true to some extent for the present, but it should not stop further research. The discussion of stress changes in this article gives an example to show that what people observe near the surface may not be the situation at depth. Nonetheless, such surficial observations reflect the movements of the crust associated with earthquakes.

Before the great M 7.8 Tangshan, China, earthquake in 1976, the Douhe and Zhaogezhuang stress-monitoring stations on the supposed fault zone observed significant tensile pulses of ground stress normal to the fault zone. The data are both reliable and reasonable. Analysis of the stress field adjacent to a fracture front shows that, when the fracture front passes by the measuring point, the stress normal to the fracture will first rise and then drop, while the stress at an angle of 30° to the fracture has much less significant variation in the observations. The pulses are attributed to the near-surface tensile fractures generated along the fault zone.
Problemas fiscales y financieros en la base de la Revuelta Comunera castellana
Authors: Mata Sierra Teresa
Published: January 2023

Se analiza en este estudio la importancia que alcanzan los problemas financieros y fiscales en las reivindicaciones de la Revuelta Comunera que se reflejan en los Capítulos de Tordesillas como garantes de los intereses comunes frente a los intereses personales y dinásticos de Carlos V.
A paradigm shift for leaders to cope with the pandemic
Authors: Bánhidi Brigitta
Published: January 2023

The 2020 Covid-19 outbreak has turned our approach to work upside down as it allowed millions of employees to experience the benefits of working from the safety of their homes. Two years later hybrid working arrangements have become widespread and several companies tend to mix onsite and remote working and seek to take advantage of both. A paradigm shift is about to take place whereby individual decisions would be driven by putting the needs of the human before that of the business growth. Inspired by the need of managers and leaders to understand unprecedented implications of such a “new normal”, in this paper we (a) discuss the pandemic’s implications on the working environment, (b) identify the grounds for having hybrid teams and (c) list the findings of our literature review as tools leaders may use to maintain the required productivity level within their teams. We have found that managers might consider shifting their focus from on-site employee presence to deliveries and to re-invent workplace together with their colleagues to integrate private preferences. Leaders seem to be more effective in a hybrid working environment if their people management skills are enhanced, and they operate on a higher EQ level than before.
Efficiency Considerations of LLC Resonant Converter for Induction Heating Application
Authors: Houam Ala , Zaamouche Fares , Daouadi Rabah , Attia Moussa
Published: January 2023

Due to the high efficiency, high power density and low EMI provided by the LLc resonant converter, it has been widely used by researchers in many fields such as induction heating (IH). This converter is based on a resonant circuit consisting of a capacitor (Cr) and two inductors Lr, Lm operating in wide output load regulating ranges for the purpose of achieving good efficiency for very high power systems using a high operating frequency. This paper aims to present a half-bridge LLC resonant converter based on power supplies for IH applications. The analysis contains five components: half bridge inverter, resonant tank, high frequency transformer, rectifier and coil. The switching bridge generates a square waveform to excite the LLC resonant tank, which will produce a resonant sinusoidal current which is transferred to the secondary of the converter through a high-frequency transformer. as it scales the voltage up or down according to the output requirements. The load represented by the equivalent circuit of the coil and work-piece is fed by the current transformed by the rectifiers. This paper provides an improved knowledge of the control of the output power for high-temperature applications through numerical simulation Considering that the load parameters and resonant frequency vary substantially throughout the system operation. The results of testing demonstrated that the proposed scheme and assembly has good efficiency, and it is well suited for magnetic induction heating systems.
Grain Boundary and Microstructural Characterization of Heat-Treated As-Rolled 2205 Duplex Stainless Steel
Authors: Makhatha Mamookho E. , Baruwa Akinsanya D. , Gonya Elvis
Published: January 2023

The detrimental precipitation at the 2205 duplex stainless steel (DSS) grain boundaries has characterized the material to have poor workability after being hot-rolled. However, the detrimental precipitation in the microstructure is largely influenced by the cooling rate or method. There is an insufficient investigation of this steel's grade interfaces and grain boundaries to rationale its poor workability. This study investigates the influence of heat treatment of hot-rolled 2205 DSS to eliminate the precipitation at the grain boundaries and a detailed microstructural study. The procedure was carried out by heat-treating the as-rolled 2205 DSS to achieve the equiaxed and Widmanstätten austenite morphologies. The characterization was conducted using an optical microscope, electron backscatter diffraction and X-ray diffraction. It was found that the Widmanstätten morphology carried a high fraction of austenite-ferrite interfaces and high grain boundary responsible for the steel cracking during hot rolling. The SEM analysis observed an incoherent interface in Widmanstätten morphology, while the equiaxed demonstrated a coherent interface. XRD detailed new phases such as martensite and cementite in Widmanstätten and equiaxed morphologies, respectively. The Widmanstätten will quickly be susceptible to crack initiation under the application.
Design of a Reconfigurable Intelligent Surface Algorithm Based on Multiple-Input Multiple-Output
Authors: Jiang Fuchun , Lin Weiming , Zhang Hongyi , Lin Xinhua , Feng Chenwei
Published: January 2023

Reconfigurable Intelligent Surface (RIS) can improve the security of the physical layer of wireless communication by adjusting the phase of the reflective unit. After analyzing the common theoretical models and potential problems, this study proposes an alternative iterative model based on multiple input multiple output (MIMO), and designs the transmitter, channel and receiver. In addition, passive beamforming precoding matrix of RIS was jointly optimized, and the Lagrangian dual relaxation (LDR) was adopted to decouple the nonconvex problem. After that, the active and passive beamforming matrices were subjected to iterative calculation, and the beamforming was optimized through cyclic programming at the base station (BS). In addition, the high convergence of the proposed algorithm was proved by MATLAB simulation. The results of simulation demonstrate that the joint precoding framework algorithm can maximize the weighted sum rate (WSR), which in turn demonstrates the feasibility of our method. Finally, the authors analyzed the strong applicability of the RIS technology in complex wireless networks with different volatility, revealing the possibility of future development.
Conical Differential Range Based Back-Projection Algorithm for Concealed Object Detection with Three-Dimensional mmW Imaging
Authors: Duysak Huseyin , Yiğit Enes , Seyfi Levent
Published: January 2023

Millimeter wave(mmW) imaging has spread to a wide range of applications in the last quarter. One of the most important research areas of mmW is three-dimensional (3D) imaging systems. In this study, conical differential range-based back-projection (BP) algorithm is proposed for three-dimensional mmW imaging. In the algorithm, the differential range is created using points inside a conical volume, thus the number of interpolation points is considerably reduced. The performance of the algorithm is demonstrated by simulation and experimental studies. Cylindrical scanning is carried out by means of the experimental setup. Experiments are carried out at frequencies of 26.5-40 GHz. The traditional BP algorithm (BPA) and the proposed algorithm are used to reconstruct the images. With the proposed method, it is observed that ISLR for the point target increased by about 5 dB compared to the traditional method. Moreover, the computational complexity is reduced by up to 10 times, depending on the imaging area. Thanks to the proposed method, the image of the concealed weapon under the cloth in an experimental study is more clearly focused compared to the traditional method. Therefore, it can provide images that give more accurate results for applications such as automatic target detection methods.
An Industrial Application Towards Classification and Optimization of Multi-Class Tile Surface Defects Based on Geometric and Wavelet Features
Authors: Coskun Huseyin , Yiğit Tuncay , Üncü İsmail Serkan , Ersoy Mevlüt , Topal Ali
Published: January 2023

It is possible to detect visual surface defects with software in industrial tile production and increase productivity by automating the quality control process. In this process, low error rate and low cost are important indicators. In order to eliminate this negativity and the effect of the human factor, error detection software has been developed in an artificial intelligence-based industrial artificial vision environment. Spots, scratches, cracks, pore defects, which are the most common surface defects, are classified according to 6 different geometric and wavelet transform attributes. Firstly, an industrial artificial vision environment was created. In this environment, a total of 150 tile images, equal numbers from each class, were obtained on the real-time production line. The resulting images were converted into binary images by preprocessing and filtering. For classification, the support vector machines method, which performs high in two-class classifications, is used with the one versus all approach. In classifications made using RBF kernel function using wavelet features as classification performance, a higher success was achieved in all defect classes than geometric features. Real-time application software for all these processes has been developed with the Python language on Ubuntu operating system.
Collaborative Colorectal Cancer Classification on Highly Class Imbalanced Data Setting via Federated Neural Style Transfer Based Data Augmentation
Authors: Nergiz Mehmet
Published: January 2023

The deep learning algorithms achieved promising results in the computational pathology in recent decade but the high data demand of the deep learning algorithms get stuck in the multi-institutional data collaborations. The federated learning is a novel concept, which proposes to train the models of the different sites collaboratively via an orchestrating server without leaking private data. However, the imbalanced data distributions are challenging for federated learning and result in performance decrease and destabilization. In this study, the federated version of the neural style transfer algorithm, which was offered by Gatys et al. is proposed as a data augmentation method on the highly class imbalanced configuration of Chaoyang colorectal cancer imaging dataset. The proposed method works by firstly selecting characteristic style images and then generating the gram style matrices on the local sites and then transferring them to the other imbalanced sites by not leaking any private data. The proposed method contributed the ACC, F1 Score and AUC results of pure FL by 22.07%, 42.51% and 9.65% using only 20 images for content and 5 images for style. Additionally, the experiments having different content and style numbers achieved the satisfactory and consisting results.
An Improved Transfer Learning Approach for Classification of Types of Cancer
Authors: Mane Deepak , Ashtagi Rashmi , Kumbharkar Prashant , Kadam Sandeep , Salunkhe Dipmala , Upadhye Gopal
Published: January 2023

Melanoma mortality rate is very high and is one kind of skin cancer. So, it is essential to identify skin cancer at an initial phase hence we can minimize the mortality rate, but sometimes recognition of the skin lesion type is very difficult due to its similarity leads to wrong treatment. Hence it is required to classify the skin lesion accurately at an initial phase for medicating a patient accurately and to save their lives. Here we proposed a framework for a very precise skin lesions classification. This uses transfer learning along with a pre-trained model and MobileNet. By using our proposed system, we can categorize the different skin lesion types accurately. Lesions are divided into eight types including melanoma, benign keratosis, basal cell carcinoma, actinic keratosis, melanocytic nevus, vascular lesion, dermatofibroma, and squamous cell carcinoma. The dataset used is ISIC 2019 challenge dataset to perform experiment on types of skin lesions. If the input image is not classified in any one of the eight types, then that image is classified as an unknown image. Hence, according to experiment our proposed system able to find the lesion type very accurately and will help to dermatologist to do accurate treatment.
A Hybrid Model: Multiple Feature Selection Approach Using Transfer Learning for Bacteria Classification
Authors: Nasip Ömer Faruk , Zengin Kenan
Published: January 2023

Analysis of microscope images is an important topic in medical image processing. However, classification of bacteria, which come in different shapes and sizes and are very small structures, based on their morphological structures is a difficult and time-consuming process that cannot be performed by the naked eye. In this study, a hybrid model for bacterial classification is proposed using transfer learning and feature selection methods together. DenseNet201 is used as a feature extractor with the transfer learning approach in the model. The extracted features were selected separately using four different feature selection algorithms and the best features were merged. The best features were trained and classified using Support Vector Machine (SVM). The dataset used was the Digital Image of Bacterial Species (DIBaS) dataset, which contains 33 bacterial species. The dataset was used with 5-fold and 10-fold cross validation, and the average of the two models was used as the evaluation criterion. In the experimental results, 99.78% accuracy, 99.91% precision, 99.88% sensitivity and 99.89% f-1 score were achieved. Thanks to feature selection, the best features that directly affect the classification performance in the dataset are selected. The proposed model can be helpful in making a preliminary diagnosis or a diagnosis in the clinic. Thanks to its fast and accurate classification performance, it can be used for real-time decision making systems.
Research on State Detection Method of Electrical Equipment Based on Wireless Sensor Network Signal Processing
Authors: Liang Chunhui , Ding Chao , Li Jinfa , Zuo Xiaoyang
Published: January 2023

False alarms and omissions of key measurement signals may even affect the reliability of decision-making in power IoT system, lead to safety accidents and bring huge economic losses. In order to improve the reliability of system operation and the information management level of electrical equipment, it is necessary to identify and extract suddenly changed signals from massive measurement signals collected by wireless sensor networks, and to detect the working state of electrical equipment by judging the source of signals. Therefore, this article studies the state detection method of electrical equipment based on wireless sensor network signal processing. In the second chapter, a cluster splitting and merging method is designed to solve the problem that the existing detection methods tend to ignore the imbalance of cluster size. In the third chapter, according to the data characteristics of measurement signals collected by wireless sensor networks, a similarity measurement criterion for composite time series of measurement signals is proposed, and the corresponding distance matrix is generated based on this criterion. In the fourth chapter, wavelet decomposition is used to decompose the initial measurement signals collected by wireless sensor networks, and then the signals are compressed twice based on compressed sensing. Then the abnormal signal data information is imported into support vector machine for training to realize the real-time detection of abnormal signals of electrical equipment state. Experimental results verify the effectiveness of the proposed algorithm.
Age-related features of somatometric parameters of Yakut men according to Heath–Carter
Authors: Gur'eva A. B. , Alekseeva V. A. , Sleptsova T. V.
Published: January 2023

The aim of the study was to identify the features of the somatometric parameters of Yakut men in the youthful and second period of adulthood according to Heath–Carter.

Material and methods. 167 young men and 41 men of the second period of mature age of the Yakut nationality were examined. The examination included anthropometric measurements and bioimpedance analysis of the body BMI and waist-to-hip ratio were calculated. Somatotyping according to Heath–Carter was carried out on the basis of ecto-, meso- and endomorphic scores, which are included in the bioimpedancemetry protocol. Statistical processing of the obtained data was carried out using the SPSS 17.0 application package. The normality of the distribution of parameters was determined by the Kolmogorov–Smirnov criterion. Mean (M) and standard deviation (SD) were calculated, and intergroup differences were assessed using Student's t-test.

Results. The study revealed age differences in terms of length, weight and body composition. Significantly large values of body length, relative parameters of skeletal muscle mass and active cell mass were found in young men. Mature men had significantly higher body weight values, absolute and relative indicators of fat mass, absolute values of active cell mass. According to BMI, overweight was detected in 6.6%, obesity - in 3.0% of young men. Among men of mature age, overweight was determined in 54.2%, obesity - in 27.0%. A high index of the ratio of waist circumference to hip circumference was found in 4.8% of boys and 58.5% of men. The distribution of somatotypes according to Heath-Carter revealed that young men in 100% of cases had a mesectomorphic somatotype. In mature men, the mesectomorphic type was also the predominant somatotype (95.8%). In 4.2% of men of mature age, a balanced ectomorphic type was determined. The absence of variability in body types suggests that the mesectomorphic somatotype is the most adapted to living in the extreme natural and climatic conditions of Yakutia.
Frontiers in Emergency Medicine: A work overview for 2022
Authors: Baratloo Alireza
Published: January 2023

The Article Abstract is not available.
Intraoperative administration of methadone reduced postoperative pain and opioid consumption following cadaveric renal transplantation: a randomized controlled trial
Authors: Khajavi Mohammad Reza , Kharazmi Sanaz , Dialameh Hossein , Biderafsh Azam
Published: January 2023

Objective: In this randomized clinical trial study, the impact of prophylactic administration of methadone during surgery on postoperative pain and analgesic requirement following cadaveric renal transplantation was assessed.
Methods: Ninety patients were randomized to receive either methadone 0.15 mg/kg or 0.15mg/kg morphine after tracheal intubation. Both groups were treated with acetaminophen 1 gr before extubation. Protocol of anesthesia was the same in both groups and the anesthetist was blinded to the study groups. The primary outcome was defined as total opioid consumption during recovery and first day after surgery. Secondary outcomes were pain scores and level of patients’ sedation during the recovery period and first postoperative day as well as opioid-related complications.
Results: Data of eighty-five eligible patients were analyzed. The mean pain and sedation scores were lower in the methadone group compared to the morphine group during recovery and the first 24 hours after surgery. The time of first rescue analgesic requirement was later in the methadone group (10.4 vs 6.3 hours). Also, postoperative morphine consumption was significantly less in the methadone group compared to patients receiving morphine (3.5 vs. 6.9 mg; P < 0.001).
Conclusion: Intraoperative administration of methadone decreased postoperative pain scores, reduced opioid consumption after surgery and improved level of sedation during the first 24 hours after surgery.
Cardiac arrest: an interdisciplinary scoping review of clinical literature from 2021
Authors: Hwang Charles W. , Murphy Travis W. , Antoine Jesseca , Avery K. Leslie , Carr Casey , Han Francis , Snipes Garrett , Zhou Sonya , Becker Torben K.
Published: January 2023

The Interdisciplinary Cardiac Arrest Research Review (ICARE) group was formed in 2018 to conduct an annual search of peer-reviewed literature relevant to cardiac arrest. Now in its fourth year, the goals of this review are to highlight annual updates on clinically relevant and impactful clinical and population-level studies in the interdisciplinary world of cardiac arrest research from 2021.  To achieve these goals, a search of PubMed using keywords related to clinical research in cardiac arrest was conducted. Titles and abstracts were screened for relevance and sorted into seven categories: Epidemiology & Public Health; Prehospital Resuscitation; In-Hospital Resuscitation & Post-Arrest Care; Prognostication & Outcomes; Pediatrics; Interdisciplinary Guidelines; and Coronavirus disease 2019. Screened manuscripts underwent standardized scoring of methodological quality and impact by reviewer teams lead by a subject matter expert editor. Articles scoring higher than 99th percentile by category were selected for full critique.  Systematic differences between editors’ and reviewers’ scores were assessed using Wilcoxon signed-rank test. A total of 4,730 articles were identified on initial search; of these, 1,677 were scored after screening for relevance and deduplication.  Compared to the 2020 ICARE review, this represents a relative increase of 32% and 63%, respectively.  Ultimately, 44 articles underwent full critique. The leading category was In-Hospital Resuscitation, representing 41% of fully reviewed articles, followed by Prehospital Resuscitation (20%) and Interdisciplinary Guidelines (16%). In conclusion, several clinically relevant studies in 2021 have added to the evidence base for the management of cardiac arrest patients including implementation and incorporation of resuscitation systems, technology, and quality improvement programs to improve resuscitation.
Inclusive Education for Exceptional Children in Egypt and the US: Reforming Egyptian Inclusive Education System in Post-pandemic World
Authors: Abbas Noha
Published: January 2023

Inclusive education means that exceptional children (EC) can fully participate in the learning process alongside their typically developing peers, supported by reasonable accommodations and teaching strategies that are tailored to meet their individual needs. The main goal of inclusion policies for EC is to provide high-quality education for all without discrimination and to ensure the implementation of equal opportunity principles. The primary purpose of this study is to explore the reality of inclusive education systems in Egypt and the United States (US) and to develop a better understanding of similarities and differences and thus identify the lessons learned. The study applied a comparative analysis method. Research findings revealed that the progress towards inclusion practices in Egyptian inclusive public schools is minimal and hindered by many challenges. Among them are lacking financial resources and a shortage of qualified teachers trained to differentiate curricula for EC. Based on the research findings, the study concludes with recommendations to improve the Egyptian inclusive education for EC.
The Effect of Dignity Therapy on Terminally-Ill Adult Patients: A Systematic Review and Meta-Analysis
Authors: Lee Jung Lim , Jeong Younhee
Published: January 2023

Background: We aimed to evaluate the effect of dignity therapy on the dignity, distress, and quality of life of terminally-ill adult patients.
Methods: All randomized controlled trials published prior to Jan 2021 were searched through database, including PubMed, Medline, OVID, Cochrane Library, CINAHL, Web of Science, Scopus, ProQuest Central, KMBASE, KoreaMed, NDSL, and RISS. The RoB 2 was used to assess risk of bias. Effect sizes, Hedge's g and Higgins I2–statistics were used for meta-analysis.
Results: We finally identified 10 studies for a systematic review, and eight studies out of them were selected for a meta-analysis. Overall, 776 participants were included in the meta-analysis. There were significant differences between with and without dignity therapy groups in dignity and anxiety (SMD = -0.3805, Cl = -0.5606, -0.2004; SMD = -0.1932, Cl = -0.3774, -0.0090, respectively) while there was no significant difference in quality of life and depression (SMD=0.4678, Cl = -0.0989, 1.0345; SMD= -0.0513, Cl= -0.2461, 0.1434, respectively).
Conclusion: Dignity therapy may be effective for terminally ill patients on dignity and anxiety. We suggested further empirical studies with dignity therapy and repetitive meta-analysis in the future due to heterogeneity of the studies.