bluuebunny/crossref_metadata_2025 huggingface dataset:
How Perception of Artificial Intelligence Shapes Green HRM to Improve Environmental Sustainability
Authors: Shah Syed Muneer Ahmed , Fatima Arooj , Khand Shahzadi , Phulpoto Shumaila , Hussain Nazar
Published: July 2024

Based on the social cognition theory, this research examines the effect of artificial intelligence (AI) on the environmental sustainability of commercial banks. “AI” plays a crucial role in enabling bank management to effectively assess environmental sustainability. Through the lens of green HRM, the study explored the advantageous aspects of AI in the workplace. Data was collected from 200 employees working in commercial banks in Sindh, Pakistan. Partial Least Squares (PLS) analysis revealed a direct positive relationship between AI and environmental sustainability. The results also confirmed the positive impact of Green HRM on environmental sustainability and supported its mediating relationship between AI and environmental sustainability. The study highlights the importance of integrating advanced AI technologies with green human resource management practices to promote sustainability. These findings suggest that leveraging AI can significantly enhance the environmental performance of commercial banks, offering valuable insights for policymakers and bank managers aiming to implement sustainable practices.
МЕТОД ОПРЕДЕЛЕНИЯ ФИНАНСОВЫХ РИСКОВ
В ИНВЕСТИЦИОННО-СТРОИТЕЛЬНОЙ ДЕЯТЕЛЬНОСТИ
Authors: Salova Natalya Nikolayevna , Mishkina Yelena Viktorovna , Shtin Anastasiya Dmitriyevna
Published: July 2024

В статье представлен метод выявления финансовых рисков при реализации инвестиционно-строительных проектов в условиях технической и экономической неопределенности, который основан на мониторинге финансовых показателей деятельности строительного предприятия. Для определения рисков одной из строительных компаний г. Перми произведен анализ ее финансового состояния на основании бухгалтерской отчетности. По результатам проведенного анализа выявлены финансовые риски, присущие данному предприятию. В данном исследовании рассмотрены виды финансовых рисков, а
также факторы, влияющие на наличие рисков в деятельности строительной организации.
ФОРМИРОВАНИЕ ЦИФРОВЫХ КОМПЕТЕНЦИЙ В СФЕРЕ СТРОИТЕЛЬСТВА ПОСРЕДСТВОМ BIM-ЧЕМПИОНАТА САНКТ-ПЕТЕРБУРГСКОГО ГОСУДАРСТВЕННОГО АРХИТЕКТУРНО-СТРОИТЕЛЬНОГО УНИВЕРСИТЕТА
Authors: Gorovoy Nikita Vladimirovich , Nizhegorodtsev Denis Valeryevich , Semenov Aleksey Aleksandrovich , Sukhanova Inna Ivanovna
Published: July 2024

В работе предложена методика формирования цифровых компетенций у студентов архитектурно-строительных вузов путем организации чемпионатов по информационному моделированию зданий (BIM, ТИМ). Описаны цели и задачи чемпионата, этапы его проведения, основные организационные вопросы, приведены примеры выполняемых студентами проектов. Отмечаются основные преимущества мероприятий подобного вида, в том числе, возможность взаимодействия студентов с представителями профессионального сообщества. Методика разработана на основе шестилетнего опыта организации подобных соревнований на базе Санкт-Петербургского государственного архитектурно-строительного университета. В настоящее время в BIM-чемпионате участвуют представители десяти компетенций: архитектор, генпланист, конструктор, сметчик, инженер отопления и вентиляции, инженер водоснабжения и канализации, BIM-координатор, инженер электрических систем, инженер пожарной безопасности, инженер по организации строительства. Результаты проведения BIM-Чемпионата подтверждают эффективность выбранных форм и методов организации и проведения всех его этапов.
РАЗРАБОТКА И ПРИМЕНЕНИЕ МЕТОДОВ ТЕОРИИ МАЛЫХ ВЫБОРОК В ЗАДАЧАХ ОЦЕНИВАНИЯ ОПРЕДЕЛЯЮЩЕГО ПАРАМЕТРА СРЕДСТВ ИЗМЕРЕНИЙ
Authors: Khayrullin Rustam Zinnatullovich , Zubkov Svyatoslav Ivanovich
Published: July 2024

Рассмотрены методы статистического анализа малых выборок: метод прямоугольных вкладов, метод дельта – образных вкладов, а также метод статистического моделирования. Описан алгоритм построения оценки функции распределения, основанный на замене каждой реализации малой выборки нормированным прямоугольником (нормированной дельта – образной функцией). Представлена процедура оценки близости построенной оценки априорно - эмпирической функции к самой функции распределения на основе критерия Колмогорова. Описана технология применения метода статистического моделирования. Представлены результаты решения задачи статистического оценивания функции распределения определяющего параметра средств измерений и статистических моментов первого и второго порядка разными методами. Проведен сравнительный анализ полученных результатов.
Comunicación y think tanks: valoración de la interactividad web de los laboratorios de ideas latinoamericanos
Authors: Castillero-Ostio Elizabet , Moreno-Cabanillas Andrea , Castillo-Esparcia Antonio
Published: July 2024

Las propuestas de los laboratorios de ideas (think tanks) hoy en día tienen un peso importante en las actuaciones políticas a nivel mundial, por eso las acciones comunicativas de estos centros resultan cruciales en la relación con sus diversos públicos, para que sus iniciativas lleguen a tener una influencia notable. El presente estudio, basado en un análisis de contenido cuantitativo, recoge las herramientas comunicativas y mide el grado de interactividad que fomentan estos centros de investigación en línea, medio que más incide en su visibilidad e influencia, para lo cual se analizan sus páginas web oficiales. La investigación se centra en los 25 think tanks más influyentes de Centroamérica y América del Sur, según el informe 2020 Global Go To Think Tank Index. Los resultados evidencian que, aunque el nivel de interactividad que ofrecen las herramientas unidireccionales de estos laboratorios de ideas es considerablemente alto, en el caso de los recursos bidireccionales −que aportan una mayor oportunidad de interacción y diálogo con el usuario web−, se hace mayor uso de los de naturaleza asimétrica, siendo aún insuficiente el nivel de interactividad alcanzado, al no aprovecharse todas las oportunidades que ofrece el espacio digital.
Calidez en la relación médico-paciente: análisis del efecto de la empatía como variable mediadora en la intención de adherencia al tratamiento del paciente
Authors: Erazo-Coronado Ana María , Arroyave Cabrera Jesús Antonio , Garcés Prettel Miguel Efrén
Published: July 2024

La relación médico-paciente ha sido identificada a lo largo del tiempo como una de las claves del éxito del tratamiento médico y ha sido estudiada en contextos europeos, norteamericanos y latinoamericanos con condiciones socioeconómicas, educativas y culturales particulares. Esta investigación ofrece una nueva perspectiva acerca del asunto. En ella se ha elaborado un modelo para las variables que inciden en la intención de adherencia al tratamiento y los efectos directos e indirectos que surgen en tal relación a partir de un estudio experimental. La metodología incluyó un diseño aleatorio de dos grupos, con una muestra de 440 participantes, de los cuales 80 correspondieron a la validación de la manipulación de las variables independientes en las narraciones creadas, 150 a la prueba piloto y 210 a la situación experimental, de una población de estudiantes universitarios. El modelo emergente reveló la relación directamente proporcional entre la calidez del médico y la intención de adherencia al tratamiento. Los resultados evidencian, además, el papel mediador de la empatía como predictora de la conducta de adherencia al tratamiento y la concentración del mayor peso en el componente cognitivo de la empatía, asociado a estos resultados. Los predictores significativos del modelo confirman que la relación médico-paciente es un claro ejemplo de heterogeneidad, en la que confluyen multitud de pacientes y médicos con características diversas, lo que hace única cada interacción, que se muestra más compleja y multicausal que lo estudiado hasta el momento.
Cultural Policy in the Function of Local Community Development in Bosnia and Herzegovina
Authors: Tahirović Emir , Sadiković Elmir , Kuka Ermin , Šašić Đevad
Published: July 2024

Modern social movement imposes need for researching cultural policy, especially from their aspect of their creation and implementation at the local community level. Research conducted so far on development of local government and local policy in Bosnia and Herzegovina were primarily directed on economic and legally – the political aspect of local government. Goal of this research is advantage and possibility analysis, limiting the local growth of cultural politics on the level of territorial organisation of government in Bosnia and Herzegovina. What problems does the government face during creation of cultural policy? How are local and cultural identities formed? Do local governments have strategies for cultural development? In what measure is culture recognised as a developing chance especially in the time when Bosnia and Herzegovina becomes alternative tourist destination? How are cultural projects financed and in what measure do citizens show interest to participate in the growth of culture and local culture politics? By a strategic approach this research is contributing towards the definement of modern model culture policy, it is contributed to a total community growth of local communities.
TÜRKİYE’DE DOĞRUDAN YABANCI YATIRIMLAR, FİNANSAL GELİŞME VE ELEKTRİK TÜKETİMİ ARASINDAKİ BAĞLANTININ İNCELENMESİ
Authors: Alev Nigar , Erdemli Muhyettin
Published: July 2024

Doğrudan yabancı yatırım ile elektrik tüketimi arasındaki ilişki, ekonomi literatüründe incelenen ve herhangi bir ülkenin ekonomik ve sosyal gelişimi için özellikle önem taşıyan bir konudur. Bu çalışmada, Türkiye’de doğrudan yabancı yatırımlar ile elektrik tüketimi, ekonomik büyüme ve finansal gelişme arasındaki ilişki araştırılmıştır. Çalışmada, Türkiye Merkez Bankası’ndan alınan, 2016q1’den 2023q2’ye kadar uzanan zaman serisi verileri kullanılmıştır. Analizler Otoregresif Gecikmesi Dağıtılmış Sınır Testi (ARDL) ve Granger nedensellik yaklaşımıyla gerçekleştirilmiştir. ARDL analiz sonuçları elektrik tüketimi, doğrudan yabancı yatırım, finansal gelişme ve ekonomik büyüme arasında uzun vadeli bir ilişki olduğuna dair kanıtlar sunmuştur. Uzun dönem bulguları elektrik tüketimi ile doğrudan yabancı yatırım ve ekonomik büyüme arasında istatistiksel olarak anlamlı pozitif ilişkiyi ortaya koyarken, finansal gelişme ile elektrik tüketimi arasında anlamlı bir ilişki bulunamamıştır. Granger nedensellik analizinden elektrik tüketimi ile ekonomik büyüme arasında çift yönlü, elektrik tüketimi ile finansal gelişme arasında çift yönlü ve elektrik tüketimi ile doğrudan yabancı yatırımlar arasında tek yönlü bir nedensellik ilişkisi tespit edilmiştir. Sonuç olarak, Türkiye’de doğrudan yabancı yatırımlar, ekonomik büyüme ve finansal gelişmedeki iyileşmeler elektrik tüketimine olumlu yansımaktadır.
TÜRKİYE’DE YENİ NESİL İHRACAT DESTEKLERİNİN ÖZELLİKLERİ VE İHRACAT FİRMALARINA KATKILARI
Authors: Ketboğa Metin
Published: July 2024

Bu çalışmanın amacı 2022 yılının son çeyreğinde uygulamaya giren yeni nesil ihracat desteklerinin ihracatçılara sunduğu fırsatların neler olduğunu irdeleyerek, ihracatçı firmaların bilgilendirilmesini sağlamak ve bu desteklerin 2023 yılının ihracat rakamları üzerinde oluşturduğu etkiyi tespit etmektir. Yapılan literatür taramasında ihracata yönelik devlet destekleri ile ilgi farklı çalışmaların yapılmış olduğu görülmekle beraber yeni nesil ihracat destekleri ile ilgili detaylı bir çalışmanın yapıldığı görülmemiştir. Bu durum, çalışmanın yapılmasının temel motivasyonunu oluşturmuştur. Yeni nesil ihracat desteklerinin, önceki ihracat desteklerinden ayrılan en önemli yönü harcama yapılmadan önce desteklerden faydalanılabilme özelliğidir. Önceki ihracat desteklerinde önce “harca” sonra “başvur” daha sonra “belgele” ve en sonunda “al” tarzındaki sistem, yeni nesil ihracat destekleri ile değiştirilmiş, dış ticaret firmaları başvuracakları çeşitli desteklerden faydalanmak için harcama yapmadan önce destek alabilme imkânına kavuşturulmuştur. Fakat, Ticaret Bakanlığının verilerine göre yeni nesil ihracat desteklerinin kullanılmaya başlandığı 2022 yılının son çeyreğinde ve 2023 yılının tamamında ihracata yönelik devlet yardımı kullanım oranının hızlı bir şekilde artış göstermesine rağmen ihracatta beklenen artış oranın buna paralel şekilde gerçekleşmediği görülmektedir. 2023 yılında destek miktarı kullanım oranının bir önceki yıla kıyasla %130 artmasına rağmen ihracatta gerçekleşen artış oranın sadece %0,6 oranında olması bunu destekler niteliktedir. Bu durum ihracatta beklenen artış hızının yakalanması için dış ticaret desteklerinin geliştirilmesinin yanında Türkiye’deki makro ekonomik ortamın da bunu destekler nitelikte olması gerektiğini ortaya koymaktadır. Zira sadece desteklerin artırılmasının hedefe ulaşma noktasında yetersiz kaldığı gerçekleşen rakamlardan anlaşılmaktadır.
A BEHAVIORAL ECONOMICS INSIGHT TO ECONOMIC LIVES OF THE POOR IN TURKEY: A CROSS-SECTION ANALYSIS FOR 2006 AND 2019
Authors: Ozdinc Feyza , Özel Hüseyin
Published: July 2024

The purpose of this paper is to investigate the economic behavior patterns of the low-income level of people in Turkey. In order to investigate how economically disadvantaged people live in Turkey, a cross-section analysis will be conducted for 2006 and 2019 from the Household Budget Survey, a survey conducted by the Turkish Statistical Institute (TURKSTAT).
Demographics, how the poor earn their money, how the poor spend their money and their economic and infrastructural environment are going to be explored by sorting data from three different data sets that are included in the Household Budget Survey.
The need to study the poor in Turkey rose because like it is around the world poverty is an unresolved issue in this country. Given that the poverty issue remains unsolved, it has become necessary and inevitable to look from a new perspective. Thus, in this study a Behavioral Economics perspective is going to be used to explain the lives of poor people and some policy suggestions will be made.
EKONOMİK KARMAŞIKLIK VE ÇEVRE: AB ÜLKELERİ ÖRNEĞİ
Authors: Zengin Taşdemir Selin , Topcu Ebru
Published: July 2024

Hava, su, toprak gibi kaynakların tükenmesi yoluyla ekosistemin zarar görmesi olarak adlandırılan çevresel bozulma küresel bir tehdit olarak algılanmaktadır. Dolayısıyla, ülkeler sürdürülebilirliği tehdit eden çevresel bozulmanın risklerini ortadan kaldırmak için çeşitli politikalar uygulamaktadır. Bu bağlamda çevreyi tehdit eden unsurların belirlenmesi sürdürülebilir bir çevre politikası açısından önem arz etmektedir. Literatürde çevre üzerinde etkisi olduğu kanıtlanan birçok unsur bulunmaktadır. Bu unsurlardan biri de ekonomik karmaşıklıktır (economic compelexity). Ekonomik Karmaşıklık Endeksi (ECI-Economic Complexity Index) ülkelerin üretim kapasitelerine odaklanmakta ve ülkelerin üretim yeteneklerinin bir ölçütü kabul edilmektedir. Ekonomilerin daha karmaşık endüstrilere doğru çeşitlendiği bu yapısal sürecin çevre üzerinde de doğrudan etkileri bulunmaktadır. Bu bağlamda çalışmanın amacı, 1998-2020 dönemini içeren verilerle ekonomik karmaşıklık ve çevresel bozulma arasındaki ilişkinin AB ülkeleri için sabit etkili Driscoll-Kraay yöntemiyle incelenmesidir. Elde edilen ampirik bulgular, ekonomik karmaşıklığın çevresel bozulma üzerinde pozitif bir etkisi olduğunu ortaya koymuştur. Çalışma, bir ülkenin çevresel performansının ihraç ettiği ürünlerin karışımıyla yüksek düzeyde ilişkili olduğunu göstermektedir.
Pengembangan Media Augmenteded Reality (AR) untuk Meningkatkan Motivasi Belajar Siswa pada Mata Pelajaran IPAS Kelas 4 SD Negeri 3 Linggasari
Authors: Prabowo Eko , Wakhudin Wakhudin
Published: July 2024

Penelitian ini memiliki tujuan guna mendapatkan media interaktif menggunakan Augmenteded Reality (AR) yang layak dan dapat efektif terhadap motivasi belajar siswa pada mata pelajaran IPAS kelas IV. Penelitian dan pengembangan ini mengunakan metode penelitian R&D berbasis model ADDIE yang terdiri dari lima tahapan, yaitu Analysis (analisis), Design (desain), Development (pengembangan), Implementation (implementasi), dan Evaluation (evaluasi). Penelitian ini dilaksanakan di SD N 3 Linggasari Kabupaten Banyumas. Subjek uji coba lapangan dilakukan di kelas IV dengan jumlah kelas eksperimen sebanyak 18 siswa dan kelas kontrol 18 siswa. Pengumpulan data menggunakan analisis, pretest-postest, dokumentasi, wawancara, dan ranting scale. Analisis data menggunakan independent sampel ttest dengan taraf signifikansi 0,05. Hasil penilaian mendapat penilaian validasi ahli media, materi, dan bahasa mendapat kriteria “sangat valid” dan layak untuk digunakan pada jalanya pembelajaran dengan nilai rata-rata 4,157 dengan kriteria sangat valid. Hasil respon guru 4,4 dan respon siswa 4,944 dengan kriteria “sangat baik” berdasarkan kriteria rata rata guru dan siswa. Hasil uji N-gain dalam meningkatkan motivasi belajar siswa memperoleh skor persentase 66,92%, dengan kriteria cukup efektif. Hal ini menunjukan bahwa terdapat pengaruh pada meningkatkan motivasi belajar siswa pada pembelajaran. Penelitian ini terdapat hasil yang dapat ditarik kesimpulan bahwa penggunaan media Augmenteded Reality pada mata pembelajaran IPAS layak dan cukup efektif untuk meningkatkan motivasi belajar pada siswa.
La indigencia melancólica ante el umbral de lo Absoluto en los Últimos poemas de Olga Orozco
Authors: Avenatti de Palumbo Cecilia
Published: July 2024

El objetivo de este artículo es aplicar la fenomenología de la melancolía desarrollada por Romano Guardini a la poesía de Olga Orozco. En sus Últimos poemas la muerte se le presenta como el umbral que la conducirá al encuentro con ese Otro que la llama y hacia quien tiende su voz y su espíritu. Porque habita las fronteras de la existencia, su palabra es lugar de manifestación de lo absoluto. Ante la inexorable defi nitividad de la muerte, su poesía transformó la indigencia en alabanza, convirtiendo el límite de lo último en un grito de melancólica presencia de lo divino.
El juez y el testigo como figuras de la subjetividad. Aportes para el diálogo entre ciencia y religión
Authors: Grassi Martín
Published: July 2024

El presente trabajo busca diferenciar la ciencia y la religión, en orden a salvaguardar sus respectivas autonomías para una posterior y fructífera puesta en diálogo, a partir de las figuras que adopta la subjetividad frente al fenómeno religioso y frente al fenómeno científico: la del testigo y la del juez, respectivamente. En el caso del fenómeno religioso, el sujeto se encuentra sobrepasado por la excedencia fenomenológica de lo divino, quedando sometido a esta excedencia y no pudiendo lograr más que atestiguar dicha riqueza en un lenguaje no predicativo. En el caso del fenómeno científico, el sujeto se encuentra en una posición de superioridad frente al objeto que estudia, en tanto que el objeto aparece en la medida misma en que se somete a las condiciones de posibilidad del lenguaje predicativo-explicativo. Sin embargo, es necesario poner en relación dialéctica ambas figuras de la subjetividad, para poder así encontrar al existente humano en su concreción. Aun cuando debamos poner en relación dialéctica ambas figuras, sostendremos que hay una primacía de una figura sobre la otra en ambos ámbitos considerando el polo hacia el cual las historias mismas de dichos ámbitos caminan: mientras que la historia de la ciencia puede considerarse una historia de la verificación, la historia de la religión es siempre historia de la salvación. De este modo, concluiremos, la intención que anima la ciencia es que el testigo se vuelva juez, mientras que lo que anima la religión es que el juez se convierta –finalmente– en testigo.
La carga de teoría de la base empírica: ¿el fin de la filosofía de la ciencia?
Authors: Zanotti Gabriel
Published: July 2024

El artículo gira en torno a la pregunta de si la filosofía de la ciencia no habrá llegado a su fin en la medida en que sigue siendo planteada como un programa de investigación que no aborda el problema hermenéutico fundamental, a la hora de intentar resolver el problema de la carga de teoría de la base empírica. Para ello, se repasa la historia del problema, tanto en sus aspectos metodológicos como fi losóficos; se reseña la filosofía de la ciencia posterior a Feyerabend (que nosotros llamamos post-popperiana), y se pone peculiar atención al “nuevo experimentalismo” y a la noción de “teoría” que está en juego en el debate. Allí es donde introducimos la importancia del giro hermenéutico y una propuesta conceptual y terminológica para el famoso “testeo empírico”. Aclaramos luego que el realismo en la filosofía de la ciencia es una cuestión filosófica, no metodológica, para concluir finalmente en lo que se quería demostrar.
The Role of Egyptian Educational Institutes in Entrepreneurship Value Co-Creation
Authors: Badie Mohamed A. , Ragheb Mohamed , Hemeida Fahd A. , Zayed Adel
Published: July 2024

In recent years, studies on entrepreneurial education have called for further research that investigates the precise nature of the entrepreneurial ecosystem by exploring how learning impacts entrepreneurship and the role that educational establishments play as enablers and contributors in this process. This paper add to the existing literature by exploring the current state of entrepreneurship education in Egypt, where many programs suffer from an unclear vision about the precise role of the educational institution and have questions about the creation of more flexible learning environments and modes of delivery. Furthermore, in many Egyptian programs, there is a lack of understanding as to how entrepreneurial ecosystem elements interact, making it challenging to comprehend the dynamics of the entrepreneurial ecosystem in Egypt. In order to explore the role of educational institutes within entrepreneurship value co-creation in Egypt and other developing countries, this paper uses the mainstream literature to create a conceptual Framework that provides a context for exploring value co-creation among educational and professional training institutes, and illustrates how interactions and relationships among elements within the Entrepreneurship Ecosystem can be used to guide the development of entrepreneurial education within developing countries.
Sailing to recovery: Personal reflections on an adventure therapy project for people who have experienced first episode psychosis
Authors: Rapsey Estelle
Published: July 2024

This paper will reflect on my experience as a clinical psychologist and that of my colleague, Matt, a Peer Support Worker, in supporting a group of people who have experienced First Episode Psychosis (FEP) undertake an adventure therapy project. We hope it will provide first-hand accounts of this unique approach to promoting recovery and raise awareness about alternative therapeutic approaches to psychosis.
Just a piece of paper? A qualitative exploration of same-sex couples’ multiple conceptions of civil partnership and marriage
Authors: Clarke Victoria , Burgoyne Carole , Burns Maree
Published: July 2024

This paper explores 22 same-sex couples’ views on civil partnership and marriage. The data are drawn from the qualitative phase of a larger study of money management and relational practices in same-sex relationships. Twenty-seven participants indicated that they were more or less likely to register their relationship as a civil partnership, 10 described themselves as undecided about partnership recognition, and six signalled a lack of interest in civil partnership (and one provided no codeable data). This summary necessarily glosses over the complexity of the data and the ways in which they are underpinned by ambivalence, contradiction, and different ways of conceptualising civil partnership, marriage, relationship recognition and celebration. We explore this complexity by presenting six themes running through the participants’ talk about civil partnership and marriage. The paper concludes with a discussion of these findings in relation to the (limited) existing empirical literature on same-sex marriage and relationship recognition.
A utilização do Moodle em disciplinas de Ciências Sociais da Universidade Federal de Alagoas – UFAL
Authors: Setti Gabriel Augusto Miranda , Pereira Regina Celi Martins
Published: July 2024

Este artigo tem o objetivo de ressaltar a importância do uso da plataforma moodle como ferramenta de suporte ao ensino, em especial, ao Curso de Ciências Sociais. O objeto do estudo é falar sobre o moodle e sua relevância para o meio acadêmico. A pesquisa se deu a partir de informações e dados examinados na página oficial da web e na experiência vivida na docência no Instituto de Ciências Sociais, nos cursos de Ciências Sociais, Bacharelado e Licenciatura, e demais demandas externas da Universidade Federal de Alagoas - UFAL. Destacamos a intensificação das aulas online a partir da pandemia mundial da COVID-19, e como elas se tornaram o principal meio utilizado no ensino das disciplinas. A metodologia utilizada para construção do presente trabalho foi à bibliográfica.  Dentre os resultados encontrados com a pesquisa, alcançamos que a tecnologia moodle além de ganhar novo espaço nas instituições de ensino, tornou se uma das principais ferramentas potencializadoras da aprendizagem.
Effects of pilates method in post-COVID-19 syndrome: systematic review and meta-analysis
Authors: Jorge Matheus Santos Gomes , Nepomuceno Patrik , Schneider Rodolfo Herberto , Wibelinger Lia Mara
Published: July 2024

Recent research has investigated the effects of the Pilates Method (PM) for individuals affected by post-COVID-19 syndrome (PCS-19). However, to date, no review has compiled such findings. In this sense, this study sought to review the effects of the PM on PCS-19. This is a systematic review and meta-analysis carried out by peers in the PubMed/MEDLINE, PEDro, SciELO, LILACS, Scopus, Web of Science, ScienceDirect and Cochrane Library databases, in addition to research on Google Scholar and the CAPES repository. Studies published until September 2023 included only randomized clinical trials, with patients diagnosed with PCS-19, and which included PM-based exercises. The meta-analysis was performed using Review Manager software version 5.4 (Cochrane Collaboration) with a random effects model. Of the 1510 references initially found, only three met the selection criteria, covering a total of 113 patients with PCS-19. The meta-analysis indicated that PM was effective in improving quality of life in PCS-19, but not in lung function parameters. Other favorable secondary outcomes were also reported, such as improvement in thoracic excursion, functional capacity, biochemical parameters and pain intensity. However, this must be considered with caution due to the high heterogeneity and low methodological quality of the included studies. In short, the PM promotes benefits in physical health and quality of life in PCS-19. However, these results should be interpreted with extreme caution due to the limited literature on the subject, variability in outcome measures, and lack of important methodological details.
Avaliação do perfil de estilo de vida de adolescentes residentes no Amazonas
Authors: Anaquiri Francijania Cameta , Pinho Lenice Correia de , Faber Myrian Abecassis , Lima Alex Barreto de
Published: July 2024

Os adolescentes estão expostos a fatores de risco para a saúde, frequentemente associados aos estilos de vida adotados. Os comportamentos de risco incluem brigas, atividade física insuficiente, tabagismo, consumo excessivo de álcool, uso de drogas, alimentação inadequada e uso ineficaz de métodos contraceptivos. Este estudo qualitativo-quantitativo, descritivo e transversal, aprovado pelo Comitê de Ética em Pesquisa da Universidade do Estado do Amazonas - Parecer: 2.172.479, avaliou o estilo de vida de 323 adolescentes (168 rapazes e 155 moças) de uma escola pública de Novo Aripuanã (Amazonas, Brasil). O instrumento Perfil de Estilo de Vida Individual (PEVI), derivado do Pentáculo do Bem-Estar, foi utilizado para avaliar: Nutrição, Atividade Física, Comportamento Preventivo, Relações Sociais e Controle do Stress. Os resultados mostraram um nível intermediário para 118 (70,2%) rapazes e 95 (61,3%) moças, na Nutrição. Na Atividade Física, 83 (53,5%) moças obtiveram pontuações negativas e 81 (48,2%) rapazes; intermédias. No comportamento preventivo, 113 (67,3%) rapazes e 90 (58,1%) moças apresentaram, nível intermédio. Nas Relações Sociais, 93 (55,4%) rapazes e 80 (51,6%) moças tiveram uma pontuação intermédia. Na Gestão do Stress, 98 (58,3%) rapazes e 86 (55,5%) moças tiveram pontuação intermédia. Os componentes com escores intermediários podem ser modificados por meio de ações educativas. O resultado do Perfil de Estilo de Vida Individual derivado do Pentáculo do Bem-Estar, foi intermediário para meninos e meninas em nutrição. A avaliação da Atividade Física mostrou escores negativos para a maioria das meninas e intermediária para a maioria dos meninos. O Comportamento Preventivo, Relações Sociais e Gestão do Estresse, analisados para ambos os sexos, apresentaram resultado: Intermediário. Considera-se necessária a implementação de ações educativas intersetoriais que altere a classificação: Intermediário na nutrição, sexualidade, atividade física, prevenção da violência. A melhor compreensão sobre os desafios enfrentados pelos adolescentes poderá instigar a mais pesquisas e proposituras de estratégias eficazes para promover um estilo de vida saudável e equilibrado.
Promoção do aleitamento materno na estratégia de saúde da família de São José dos Campos: uma proposta educativa às gestantes
Authors: Santos Fabiele Ortiz Prado dos , Batista Nildo Alves
Published: July 2024

Este artigo apresenta o desenvolvimento de uma proposta educativa inovadora para promover o aleitamento materno por meio de um aplicativo móvel, especificamente destinado a mulheres primíparas e primigestas atendidas pela rede municipal de saúde de São José dos Campos. A justificativa para a criação deste artigo baseia-se na significativa ausência de instrução e orientação relacionadas à amamentação, um aspecto crucial para a saúde tanto da mãe quanto do bebê. Para a elaboração do aplicativo, utilizamos a metodologia do Design Thinking, que é uma abordagem centrada no usuário e composta por quatro etapas principais: imersão/empatia, ideação, prototipação e realização/avaliação. Na fase de imersão, realizamos uma pesquisa de campo utilizando entrevistas semi-estruturadas com gestantes, o que revelou uma lacuna considerável nas ações de promoção à amamentação. As entrevistas destacaram a necessidade urgente de ferramentas educacionais que pudessem apoiar as mães, evidenciando a complexidade e os desafios envolvidos na prática do aleitamento materno. Com base nos dados coletados, desenvolvemos um aplicativo que oferece uma série de perguntas e respostas abrangendo diversos aspectos fisiológicos, emocionais e sociais do aleitamento materno. Entre as funcionalidades do aplicativo, destacam-se o acesso offline, que garante a utilização da ferramenta pelas usuárias mesmo sem conexão à internet, orientações personalizadas de acordo com o perfil e as necessidades de cada mãe, e um canal de comunicação direto com profissionais de saúde que proporciona um suporte adicional e personalizado. Como conclusão, o aplicativo mostra-se como um recurso bastante importante para a promoção do aleitamento materno, fornecendo suporte contínuo às mães e auxiliando-as na superação de desafios e na desmistificação de tabus culturais relacionados à amamentação. A pesquisa contribui significativamente para o campo da educação em saúde ao incorporar ferramentas digitais adaptadas às necessidades do público alvo. A integração da tecnologia à atenção primária em saúde tem o potencial de melhorar substancialmente a qualidade de vida e saúde das mães e seus bebês, promovendo um impacto positivo duradouro na comunidade.
Zingeving en nataliteit in humanistische geestelijke verzorging
Authors: Bets Flori
Published: July 2024

This article explores how an Arendtian perspective on natality contributes to transcendence within a humanistic meaning-making framework in the practice of spiritual care. Through such a framework, individuals attribute meaning to the world around them. In this context, meaningfulness is understood as an orientation process within a meaning framework that provides direction towards 'the good'. For Hannah Arendt, natality refers to the capacity to do the unexpected, initiate something new, take action, and 'become someone'. This act of initiating something new can be preceded by significant moments of reflection or entering a moral space. Spiritual counsellors can support individuals in this moral orientation process towards the good. A meaning framework is part of a larger entity, referred to as the epistemic structure of our society, which traditionally focuses on mortality. This conventional understanding of death is crucial for reconciling with life. In contrast, the meaning of natality emphasizes the future, hope, and change through the initiation of new actions. Thus, the concept of natality has the potential to broaden our contemporary epistemic structure of meaning-making. Achieving this, however, requires study, deconstruction, and intentional change.
Key Factors Influencing the Hispanic Vote in the 2020 United States Election
Authors: Lu Timothy
Published: July 2024

The Hispanic vote in America has traditionally leaned more Democrat in the United States. Appealing to the Hispanic vote as a political tactic has been popular ever since Kennedys Viva Kennedy campaign to reach out to Mexican Americans, which formed a large part of his victory. This trend will only continue as Hispanic-Americans are the fastestgrowing demographic in America. This paper analyzes the influence of four factors on Hispanic voting in the United States to try and create hypotheses to predict on what considerations must be made when predicting the Hispanic vote.
Analysis of the Reasons Why US and Russia Withdrew from the INF Treaty Successively Based on the Levels of Analysis
Authors: He Xinyi
Published: July 2024

The Intermediate-Range Nuclear Forces Treaty (INF Treaty) is a milestone in the history of arms control negotiations between the United States and the Soviet Union, but there are continuous disputes during its existence. From February 2, 2019, the United States announced the suspension of its obligations under the INF Treaty and officially started the withdrawal process. On the same day, the Russian president also announced the suspension of implementation. The factors behind the successive withdrawal are complicated and are related to the development of the international arms control system in the future. This papermainly focuses on the analysis of the reasons for the withdrawal by comparing the two sides under the same perspective through the levels of analysis.
The Impact of Changes in Crude Oil price on the Yield and Volatility of Manufacturing: Evidence from the US and China
Authors: Zhang Yijia
Published: July 2024

This study is based on the data of WTI international futures crude oil price, China manufacturing Index and the United States Dow Jones Manufacturing Index from November 23, 2021 to June 16, 2022. This paper uses VAR and ARMA-GARCH models to analyze the changes in yield and volatility of manufacturing in the US and China. The results show that the change of crude oil price under the situation of Russia-Ukraine conflict has a negative effect on the return rate of manufacturing industry in China and the United States, but the impact on the return rate of manufacturing industry in China is greater than that of Dow Jones, and the impact on the return rate of manufacturing industry in the United States will gradually disappear as time goes by. In order to reduce the adverse impact of oil price fluctuations on manufacturing industry, this study puts forward some suggestions, such as adopting diversified ways of oil import and export trade and actively developing and utilizing other energy sources.
Research on the Influencing Factors of Stock Returns
Authors: Peng Cheng
Published: July 2024

In consideration of the development of Chinese stock market, it is important to find out the factors that affect stock return. China A-share market is an immature capital market and difficult to change the nature of enclosure of money while foreign stock markets were established earlier and developed more mature. They have made fruitful achievements in the study of the causes of stock price fluctuations. At the same time, there are many successful experiences in guiding investment practice with investment analysis theory. Surveys shows that the average return of Chinese investors is negative. So, this is helpful for investors to have a better understanding of stock market. And it provides information which may reveal several problems of stock market at this stage. This paper mainly focuses on the influencing factors of stock return in Chinese stock market, using the most realistic data to try to figure out the relationship. The data of 282525 stocks which are from November 2020 to November 2022 to achieve multiple linear regression, and the result shows that PE (price-to-earnings ratio), PB (price-to-book ratio) and turnover are negatively correlated with stock return. Among them, turnover has the greatest influence on stock return, followed by PB and PE. Other two factors which are circulated market value and amount have little influence on stock market, so they can be ignored.
An overview of Neural Radiance Fields
Authors: Liu Xiaoju
Published: July 2024

Synthesizing controllable, photo-realistic images and videos is one of the fundamental goals of computer graphics. Neural rendering is a rapidly emerging field in image synthesis that allows a compact representation of scenes, and by utilizing neural networks, rendering can be learned from existing observations. Neural Radiance Fields (NeRF) implement an effective combination of Neural Fields and the graphics component Volume rendering. It achieves the first photo-level view synthesis effect using an implicit representation. Unlike previous approaches, NeRF chooses Volume as an intermediate representation to reconstruct an implicit Volume. Although the advantages of NeRF are apparent, there are many drawbacks in the original version of NeRF: it is slow to train and render, requires a large number of perspectives, can only represent static scenes, and the trained NeRF representation does not generalize to other scenes. This report focuses on optimizing the shortcomings mentioned above of NeRF by scholars in the last three years and analyzes the solutions to the problems of NeRF from several perspectives.
Flexible lower limb exoskeleton rehabilitation robot: A review
Authors: Wang Haoming
Published: July 2024

Today, medical and rehabilitation exoskeletons are chosen by more therapists to treat individuals with lower limb injuries. A flexible lower limb exoskeleton (FLLE) is a new exoskeleton robot for rehabilitation. Compared with rigid lower extremity exoskeleton (RLLE), FLLE has the advantages of lower weight, better compliance, lower energy consumption, and higher safety. This paper reviews the development and innovation of FLLE in recent years from the aspects of driving mode, design requirements and critical technologies. The characteristics of existing FLLE products are analyzed and summarized, and the challenges and future development directions of the research, such as the construction of a general, flexible exoskeleton power system model, motion intention and fast processing of pattern recognition, are discussed.
Application and development trends of flexible pressure sensors
Authors: Wang Kunru
Published: July 2024

Flexible pressure sensors have emerged as a significant sensor technology with promising and broad applicability in various sectors, such as electronic skin and health monitoring, in recent years. This study evaluates the principles, classifications, uses, and development trends of flexible pressure sensors. It reviews the research progress in terms of preparation, design, and materials, discusses technical challenges and limitations, and proposes potential solutions and future development directions. The wide range of applications and projected advancements for flexible pressure sensors in different fields are summarized. With the continuous advancement of technology and society, the utilization of flexible pressure sensors is expected to become increasingly prevalent. In the future, these sensors will play a pivotal role in diverse fields, including health monitoring, human-computer interaction, and environmental monitoring. This paper aims to aid future researchers in comprehending the fundamental principles of flexible pressure sensors, various types of classifications, different application fields, and future development trends more quickly and thoroughly.
The application and investigation of dropout layer in the generator of GAN in stock prediction
Authors: Li Zhengyuan
Published: July 2024

Recent years have witnessed rapid advancements in neural network capabilities. Among the cutting-edge techniques emerging in this field is the Generative Adversarial Network (GAN).The GAN framework comprises two competing neural networks: one aims to introduce noise and deceive its counterpart, while the other hones its skills on genuine data, guiding the first on enhancing the realism of its noise. After extensive training, the goal is for the former network to produce data so convincing that the latter cannot differentiate between authentic and fabricated. The studys objective is to harness this formidable technique to model time series data, with a primary focus on stock market dynamics. A GAN proficient in handling the complexities of time series data, notably unpredictable realms like the stock market, has vast potential applications. While GANs have proven adept at navigating the intricacies of time series data, they arent without challenges, notably the issue of overfitting. In this study, it will address this limitation by integrating a dropout layer into the generator. Such advancements in GAN could revolutionize the finance sector, offering improved risk evaluations for investments. Furthermore, GANs might hold the key to creating synthetic duplicates of confidential data, ensuring data veracity without jeopardizing confidentiality. In an era where vast amounts of data are locked away due to privacy concerns, the ability to generate precise, synthetic datasets could truly be groundbreaking.
Tolerance analysis of wrong labels based on transformer for sentiment analysis
Authors: Liu Jianing
Published: July 2024

In recent years, with the development of deep learning, the field of sentiment analysis has become more and more widely used. This increases the complexity and diversity of the data, which makes people hard to classify sentiment completely correctly. This paper proposes to use the Transformer model to analyze the tolerance for wrong labels in the process of sentiment analysis tasks. This paper tests the accurate values at different proportions by changing the labels proportionally. Since this paper selects a binary classification text dataset, the specific implementation method is to change 1 into 0 and 0 into 1. The results of this study show that as the proportion of changed labels increases, the overall accuracy of the results shows a downward trend, from 0.888 without changing the label to 0.831 with a 30% change to 0.671 with a 35% change. This paper verifies the stability when changing the 30% label through ten iterations, and the results fluctuate between 0.81 and 0.86. It can be concluded that the Transformer model can accept up to 30% wrong labels when handling sentiment analysis tasks. This study can provide effective help for future model training. Through this study, people can reasonably control the number of wrong labels in future research.
An energy-based model of soft robot grippers realizing design and prediction of multistable configuration under open loop control
Authors: Zhang Kaisheng
Published: July 2024

Soft robotics and soft robots are gaining popularity these days due to their advantage like adaptability. Multistable structure, a special structure that can stay stable under more than one state, provides people with the capacity of the researching open-loop control method in the domain of robotics. Thus, the characteristics of multistable structure can benefit the design and simplify the control of robots. This article introduces an energy-based analytical model for soft multistable grippers. It can design the configuration of the gripper, predict its stable states and set the force of grasping action and this model can save much time spent on calculation comparing to traditional method of Finite Element (FE) simulations under a sufficiently low error rate. The idea of topology, certain algorithms and simulations are applied and experiments are also conducted later to certify the feasibility and accuracy of this model. This elaborate model is a new inspiration for soft robotics.
Predicting the UK stock index after the outbreak of the Russia-Ukraine conflict
Authors: Wang Wenbo
Published: July 2024

Accurate asset price forecasting is crucial for financial activities. With the continuous development of the Russia-Ukraine conflict, the global financial market has responded significantly and strongly to the geopolitical situation. As an international financial center, the UK market has also been impacted, with severe fluctuations in the UK stock index, potentially affecting investors. Therefore, this study selects the UK stock index as the research object, using three models to predict the UK market and evaluate model performance. The results indicate that SVM's fitting performance is inferior compared to that of the other two models during training. On test data, SVM exhibits poor predictive ability, while decision tree and random forest demonstrate high accuracy in their predictions. In particular, random forests provide a more precise simulation of price trends compared to decision trees, which closely aligns with actual value trends. This finding suggests that utilizing ensemble methods like random forest can enhance forecasting capabilities when analyzing stock market behavior.
Research on deep learning method for fine-grained image classification
Authors: Yu Zhenjiang
Published: July 2024

The public has long been interested in computer vision research projects on image classification. Over the past 20 years, fine-grained image classification (FGIC) has advanced quickly because of the ongoing development of deep neural network models. The FDIC is based on the traditional image classification and further identifies the subtle differences between subclasses within the same category. Deep learning-based image categorization techniques are separated into two groups in this article: FGIC based on intensely supervised learning and weakly supervised learning. Briefly, it introduces the algorithms included in each category. Additionally, this article lists the performance of several methods on the well-known CUB-200 dataset and gives typical fine-grained picture datasets. By comparing several algorithms' outputs, it is determined that weakly supervised learning has the advantages of lower cost and higher accuracy than intensely supervised learning. Finally, the paper proposes a summary and a discussion of fine-grained images' potential future development prospects.