bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Social Media Quality on Their Use in Business Continuity of Jordanian Small and Medium Enterprises During the COVID-19 Pandemic
Authors: Alkhawaldeh Khleef , Alkayid Wafa
Published: May 2024

This study examined the use of social media platforms in business continuity by small and medium enterprises SMEs in Jordan during the COVID-19 pandemic. It also investigated the impact of social media quality on their use in the business continuity of SMEs. Quality variables examined for social media platforms included usefulness, ease of use, facilitation and low cost. These variables were measured by a questionnaire developed based on the questionnaires of previous studies. The results of the study revealed a statistically significant use of social media platforms in business continuity by small and medium enterprises during the Covid-19 pandemic. The results also indicated that there is a statistically significant effect of the variables of social media quality (usefulness, ease of use, facilitation and low cost) on their use in business continuity. This study concluded that social media has been extremely beneficial to the business continuity of SMEs during the pandemic period.
Proposed Extended Design Process for Sustainable Development and Innovation
Authors: Cavallo Tito
Published: May 2024

The perspective that innovation plays a crucial role in promoting sustainability is generally acknowledged by researchers, professionals in many industries, and government officials. The urgency of addressing sustainable development necessitates prompt action and comprehensive adjustments from governments, industries, and society. The field of design has seen significant transformations throughout the last five decades. In response to the multifaceted challenges of contemporary times, there has been a partial expansion of limits. Various areas, such as social design, inclusive design, codesign, and sustainable design, have evolved as a direct reaction to the shortcomings of the existing consumption and production system. Within this framework, the design of artifacts has been influenced by social, environmental, and cultural trends. However, it is noteworthy that the actual design process has undergone little alterations. In contemporary design processes, there is an increasing recognition of the importance of incorporating criteria beyond economic considerations, particularly when pursuing social and environmental objectives. However, it is noteworthy that the process employed to achieve these objectives remains consistent with the stages and logic traditionally employed in approaches driven solely by economic goals. In this paper, we provide a novel approach to the design process, which encompasses the accountability for the outcomes generated by the artifacts developed, extending beyond the mere supply of solutions.
Benefits, Process and Challenges of Knowledge Management
Authors: Fierro Rafael , Benalil Gaby
Published: May 2024

The significance of knowledge management (KM) in modern society has been widely discussed in recent years. There is widespread agreement that an organization's long-term health, competitive advantage, and capacity to stimulate innovation depend on its capabilities to effectively its information resources effectively. In this context, “management” refers to the internal process of disseminating, creating, retrieving, and storing data and knowledge inside an organization. Its principal goal is to aid the firm in its operations and improve its profitability. Successful knowledge management adoption calls for a comprehensive shift in an organization's culture and the unwavering commitment of its leaders at all levels. By fostering a conducive organizational environment, a company may effectively use its collective organizational learning and knowledge to address challenges on a global scale, irrespective of time constraints. This can be achieved through the implementation of KM practices. The principle objective of this research is to enhance the comprehension of KM and its capacity to help firms attain their business goals. Subsequently, an examination will be undertaken regarding certain obstacles pertaining to the execution of this approach within organizational contexts.
Understanding Business Growth: Perspectives from Social Entrepreneurs
Authors: Cavallo Christos
Published: May 2024

This research presents a comprehensive overview of the data derived from a study that examines the growth aspirations and conceptualizations of company growth among entrepreneurs. The research included a diverse group of individuals, spanning from 30 to 60 years of age. The majority of participants were female and had a high school level of education. The study conducted by the researchers revealed that entrepreneurial intention, which refers to the aspiration to pursue an entrepreneurial career, plays a significant role in the establishment and growth of new business initiatives. The researchers also discovered that there is variation in growth goals among entrepreneurs, as some individuals prioritize independence while others place more emphasis on economic desires. The research conducted an analysis to discern three distinct interpretations of company development, including economic, empowerment, and collective phenomena. Social entrepreneurs place significant emphasis on development as a collaborative phenomenon, emphasizing and the socialization of the notion of community and the means of production. The investigation also examined the level of assistance entrepreneurs get from external groups and their involvement in networking activities. In general, the results shows that the expansion of social entrepreneurs encompasses several dimensions that extend beyond the realm of economics.
“Cegueira botânica” no ensino: uma revisão bibliográfica das descobertas e perspectivas
Authors: Fantin Mirian Morais Dias , Viana Rodney Haulien Oliveira , Pereira Carolina Machado Rocha Busch , Pinto Mac David da Silva , Souza Priscila Bezerra de , Carloto Denis Ricardo , Saporetti Júnior Amilcar Walter , Soares Michellia Pereira
Published: May 2024

A "Cegueira Botânica" é um fenômeno que limita a percepção e valorização das plantas no ensino de ciências, afetando o aprendizado e a conservação ambiental. Caracterizada pela indiferença ou falta de reconhecimento da importância fundamental das plantas na biosfera e na vida diária, essa condição desafia educadores a desenvolver estratégias eficazes para sua mitigação. Este estudo, por meio de uma revisão bibliográfica qualitativa e exploratória, foca nas metodologias de ensino que promovem maior interação e conscientização sobre o papel das plantas. A pesquisa abrangeu uma seleção criteriosa de artigos, teses e dissertações em bases como Scielo, CAPES e Google Scholar, que discutem estratégias para combater a “Cegueira Botânica” ou “Impercepção Botânica”. A análise revelou que abordagens interativas, empregando tecnologias educacionais e métodos de ensino baseados em projetos, são particularmente eficazes. Exemplos notáveis incluem a implementação de jogos educativos e atividades práticas, como jardins sensoriais e projetos de ciência, que estimulam a observação ativa e a interação com o ambiente natural. Tais estratégias evidenciam a necessidade de uma reformulação pedagógica no ensino de Botânica, substituindo métodos tradicionais focados na memorização por aqueles que valorizam a experiência prática e contextualizada, realçando a relevância das plantas para a sustentação da vida e dos ecossistemas. Este estudo enfatiza que superar a Cegueira Botânica requer uma mudança paradigmática na educação botânica, propondo a inclusão de métodos dinâmicos que reflitam a importância das plantas e seu papel insubstituível. A educação deve, portanto, não apenas informar, mas também inspirar os alunos a valorizar e defender a preservação das plantas, promovendo um futuro mais consciente e sustentável. Essas descobertas formam uma base sólida para futuras pesquisas e para o desenvolvimento de currículos que contribuam para uma sociedade mais atenta e sensível em relação à botânica.
Gerenciamento de riscos em contratos de parcerias público privadas rodoviárias no Brasil
Authors: Carvalho Vaneide Sousa Pereira de , Oliveira Danielle Meireles de
Published: May 2024

A implementação de Parcerias Público-Privadas (PPPs) concretizou um novo modelo de Estado, baseado nas relações contratuais com o setor privado, firmadas por meio de um processo competitivo de licitação, tornando-se uma solução viável para recuperar a capacidade de investimento público e de implementar melhorias para a manutenção e a operação de todas as rodovias no Brasil. Nesse sentido, o gerenciamento de riscos é um processo peculiar a qualquer projeto, no qual se busca identificar e repartir de forma objetiva a alocação de riscos. Observando-se a sistematização das diretrizes de gestão de riscos em projetos de parcerias, a prática corrente sugere a construção de matrizes de riscos, que traz como pressuposto a definição detalhada dos riscos, alocação, probabilidade, impactos, bem como ações mitigadoras do advento do risco. Esta pesquisa objetivou principalmente identificar os riscos de engenharia pertinentes dos contratos de PPPs rodoviárias a fim de fornecer insumos que servirão de premissa para a gestão eficiente dos contratos e apoiar o processo de tomada de decisões. Este trabalho foi elaborado, utilizando-se de estratégias que se concentraram na delimitação do problema e dos objetivos, bem como a partir da revisão da literatura, de modo a permitir a identificação dos riscos referentes ao objeto em estudo nos contratos de concessões vigentes ou em tramitação, em bibliografias específicas, e a análise de riscos de engenharia em termos contratuais e de responsabilidade em contratos de parceria rodoviárias. Nesse sentido foi possível  examinar como a adoção de Matrizes de Riscos com nível de objetividade e de detalhamento satisfatórios podem evitar lacunas indesejadas e ambiguidades aptas a comprometer a eficiência do projeto, na expectativa de que sejam mitigados os riscos nos contratos realizados no Brasil.
O projeto de extensão “Pirraias da Periferia” da UFPE, a prática esportiva pela aprendizagem baseada em problemas e aprendizagem significativa
Authors: Szlachta Junior Arnaldo Martin , Simões José Luís , Paiva Fábio da Silva , Lins Diogo Nascimento de Souza
Published: May 2024

O presente artigo destaca o impacto do Projeto "Pirraias da Periferia" da UFPE, focado na prática esportiva como meio de aprendizagem baseada em problemas e significativa. Iniciado em 2009, o projeto oferece atividades esportivas gratuitas a jovens da periferia do Recife. A metodologia adotada integra aprendizagem baseada em problemas e significativa, evidenciando a assimilação profunda das regras do futebol e do projeto pelos alunos. A abordagem, alinhada às teorias de Ausubel e Moreira, promove uma educação rica e contextualizada, través de dados obtidos nos encontros de agosto a outubro de 2023. Os resultados destacam a eficácia do modelo na promoção da criatividade e capacidade investigativa dos participantes, consolidando a proposta como inovadora e integrada às comunidades atendidas.
The Native Princess of Sri Lanka: The Thematic Metaphorical Approach in Symbolizing Characteristics of Folklore of Kuweni
Authors: Thilakarathne Shashiprabha , Gopura Sumith , Wickramasinghe Ayesha , Payne Alice
Published: May 2024

A cherished Sri Lankan tradition comprising tales from different regions, stories about Kuweni recount how Prince Vijaya from North India took power in Sri Lanka with the help of Kuweni, a native young woman. This study introduces a qualitative thematic metaphorical approach to analyze Kuweni's legend. The findings presented in “Kuweni's Folklore Characteristics Onion” offer a layered analysis that demonstrates the significance of symbols and metaphors in folklore, offering valuable insights to various creative disciplines.
Woody Guthrie: Racial Transformation through the Framework of the “Long Civil Rights Movement”
Authors: Willett Daniel L.
Published: May 2024

Woody Guthrie built a strong reputation after 1942 as an artist and activist opposed to racism. From that time, he had a consistent ideology that promoted racial justice and economic equality for all. This essay examines pivotal earlier events when he was effectively confronted by two Black people for singing racist lyrics on the radio in 1937 and 1939 and also examines the roles of the “long Civil Rights Movement,” the Communist Party USA, and the Black press in aiding Guthrie's development of a new racial consciousness.
Peningkatkan Kompetensi Sosial dan Soft Skill Penyandang Tuna Netra di RSBN Malang
Authors: Amriel Egan Evanzha Yudha , Pambudi Agung
Published: May 2024

Tidak sedikit manusia yang lahir dengan kekurangan secara fisik salah satunya adalah indra penglihatan atau yang disebut dengan tunanetra. Banyak dari mereka kesulitan dalam berkomunikasi dengan orang lain dan penampilan yang kurang baik sehingga tidak percaya diri ketika masuk ke dalam masyarakat. Dinas sosial provinsi Jawa Timur memiliki Unit Pelayanan Teknis (UPT) yang khusus untuk membina para tunanetra yaitu UPT Rehabilitasi Sosial Bina Netra (UPT RSBN) yang berlokasi di Malang, Jawa Timur. Lembaga ini merupakan sebuah lembaga yang memiliki misi dan visi dalam memberikan pelayanan terkait dengan rehabilitasi penyandang sosial tuna netra. Tujuan dari kegiatan pengabdian ini adalah melakukan pemberian pelatihan yang berkaitan dengan topik grooming, kebersihan, dan komunikasi dimana ketiga hal ini tergolong soft skill yang penting dikuasai oleh kelompok orang pada umumnya. Hasil dari kegiatan ini adalah para penyandang tunanetra dapat membaur satu sama lain dengan kegiatan yang menyenangkan dan melatih meningkatkan penampilan diri maupun komunikasi.
Pengembangan Home Industry Kemplang di Desa Pemulutan Ilir Provinsi Sumatera Selatan di Tinjau Dari Sumber Daya Manusia
Authors: Putra A Anjas , Agustian Wiwin , Irwansyah Irwansyah , Yudiastuti Helda , Melita Dina
Published: May 2024

Home Industri atau usaha kecil merupakan suatu unit usaha/perusahaan dalam skala kecil yang bergerak dalam bidang industri tertentu. Home industri Kemplang yang ada desa Pemulutan Ilir Dusun III RT. 05 RW 02 Kecamatan Pemulutan Kabupaten Ogan Ilir Provinsi Sumatera Selatan yang dikelola oleh ibu Asrania dengan dibantu 4 orang karyawannya. Adapun permasalahan yang dihadapi oleh home industri tersebut dalam mengembangan usahanya seperti, masih kesulitan dalam peningkatan penjualan dan pemasaran kemplang. Tujuan dari kegiatan pengabdian ini yaitu melakukan pendampingan terhadap pengelola dan karyawan home industri kemplang di Desa Pemulutan Ilir. Pelaksanaan kegiatan pendampingan menggunakan metode Observasi, Wawancara, Diskusi dan Pelatihan. Hasil dari kegiatan pengabdian pada Home Industri Kemplang yaitu melakukan pelatihan pembuatan media sosial seperti Instagram dan Facebook untuk meningkatkan pemasaran dan penjualan. Dari pelatihan ini meningkatnya pemahaman pelaku home industri bahwa pentingnya sumber daya manusia dalam pengembangan sebuah bisnis.
Pengenalan Penggunaan Identitas Pasien di Bagian Pendaftaran kepada Lansia di Puskesmas HutaRakyat
Authors: Simbolon Pomarida , Hutauruk Adrian Martin , Hutabarat Nur Ayisah , Purba Immanuel , Gulo Malvin , Ndruru Dewi Mesra
Published: May 2024

Identitas pasien adalah informasi yang unik yang membedakan satu orang dari orang lain. Informasi ini dapat berupa nama, tanggal lahir, nomor rekam medis, atau informasi lainnya. Identifikasi pasien merupakan sistem identifikasi kepada pasien untuk membedakan antara pasien satu dengan pasien yang lainnya sehingga memperlancar atau mempermudah dalam pemberian pelayanan kepada pasien. Hal tersebut dilakukan untuk mencegah kesalahan dan kekeliruan dalam proses memberikan layanan, tindakan medis, atau prosedur kepada pasien. Tujuan dari pengabdian masyarakat ini adalah untuk mengetahui pengetahuan para lansia tentang penggunaan identitas pasien di bagian pendaftaran. Populasi dalam pengabdian masyarakat ini adalah para lansia di desa Hutarakyat dengan jumlah 50 orang, dengan jumlah sampel diambil dari keseluruhan jumlah populasi. Instrumen yang digunakan dalam pengabdian masyarakat ini adalah kuesioner, analisis data deskriptif. Hasil penelitian yang diperoleh berdasarkan kelamin perempuan sebanyak 30 responden (60%) dan jenis kelamin laki-laki 20 responden (40%). Berdasarkan hasil data yang dikumpulkan bahwa jumlah keseluruhan Para Lansia Desa Hutarakyat berjumlah 50 orang. Berdasarkan hasil penelitian diperoleh para lansia yang memiliki pengetahuan baik tentang peran penggunaan identitas di bagian pendaftaran berjumlah 32 (64.0%) dan lansia yang memiliki pengetahuan kurang tentang penggunaan identitas di bagian pendaftaran berjumlah 18 (36.0%).
Pelatihan Self-Stretching dan Self-strengthening dalam Mengurangi Keluhan Neck Pain pada Pekerja Kantoran di Institut Kesehatan Hermina
Authors: Fuadi Dela , Syafitri Putri Karina , Nesi Nesi , Hayuningrum Cicilia Febriyani , Saputra Andrew Wijaya
Published: May 2024

Nyeri leher merupakan salah satu keluhan musculoskeletal yang sering ditemukan pada pekerja kantoran. Hal ini disebabkan karena pergerakan lengan atas dan leher yang berulang-ulang, beban statis pada otot leher dan bahu, serta posisi leher yang statis saat bekerja. Tujuan dari pengabdian masyarakat ini adalah memberikan pengetahuan dan keterampilan kepada pekerja kantoran untuk melakukan stretching dan strengthening secara mandiri untuk mengurangi keluhan nyeri leher. Peserta yang mengikuti kegiatan ini adalah pekerja kantoran di Institut Kesehatan Hermina yang memiliki keluhan nyeri leher dalam 7 hari terakhir. Peserta PkM terdiri dari 18 orang pekerja kantoran di Institut Kesehatan Hermina, setelah dilakukan beberapa pemeriksaan didapatkan seluruh peserta memiliki keluhan nyeri leher dan tingkat pengetahuan terkait nyeri leher ini masih kurang. Peserta diberikan pelatihan self-stretching dan Self-strengthening. Hasil dari pelatihan ini adalah seluruh peserta mengalami peningkatan pengetahuan dan penurunan tingkat nyeri. Namun, nyeri tidak sepenuhnya hilang, hal ini disebabkan penyebab keluhan nyeri leher belum ditangani.
Precise positioning and prediction system for autonomous driving based on generative artificial intelligence
Authors: Liu Beichang , Cai Guoqing , Ling Zhipeng , Qian Jili , Zhang Quan
Published: May 2024

Self-driving systems collect vast amounts of data through a variety of sensors, including cameras, lidar, millimeter-wave radar, and more. This data needs to be processed in real time to identify obstacles such as roads, vehicles, pedestrians and make decisions accordingly. Therefore, this paper discusses the importance of accurate positioning and prediction system in automatic driving technology, and analyzes the performance of various positioning technologies in automatic driving applications.In addition, the paper explores the application potential of AI technology in autonomous driving and the prospect of combining advanced positioning and prediction systems with generative AI. Overall, this study highlights the importance of algorithm performance improvement and artificial intelligence technology in the development of autonomous driving technology, and provides new ideas and directions for the innovation and development of intelligent transportation systems in the future.
Maximizing user experience with LLMOps-driven personalized recommendation systems
Authors: Shi Chenxi , Liang Penghao , Wu Yichao , Zhan Tong , Jin Zhengyu
Published: May 2024

The integration of LLMOps into personalized recommendation systems marks a significant advancement in managing LLM-driven applications. This innovation presents both opportunities and challenges for enterprises, requiring specialized teams to navigate the complexity of engineering technology while prioritizing data security and model interpretability. By leveraging LLMOps, enterprises can enhance the efficiency and reliability of large-scale machine learning models, driving personalized recommendations aligned with user preferences. Despite ethical considerations, LLMOps is poised for widespread adoption, promising more efficient and secure machine learning services that elevate user experience and shape the future of personalized recommendation systems.
Intelligent medical detection and diagnosis assisted by deep learning
Authors: Tian Jingxiao , Li Hanzhe , Qi Yaqian , Wang Xiangxiang , Feng Yuan
Published: May 2024

The integration of artificial intelligence (AI) in healthcare has led to the development of intelligent auxiliary diagnosis systems, enhancing diagnostic capabilities across various medical domains. These AI-assisted systems leverage deep learning algorithms to aid healthcare professionals in disease screening, localization of focal areas, and treatment plan selection. With policies emphasizing innovation in medical AI technology, particularly in China, AI-assisted diagnosis systems have emerged as valuable tools in improving diagnostic accuracy and efficiency. These systems, categorized into image-assisted and text-assisted modes, utilize medical imaging data and clinical diagnosis records to provide diagnostic support. In the context of lung cancer diagnosis and treatment, AI-assisted integrated solutions show promise in early detection and treatment decision support, particularly in the detection of pulmonary nodules. Overall, the integration of AI in healthcare holds significant potential for improving diagnostic accuracy, efficiency, and patient outcomes, contributing to advancements in medical practice.
Driving intelligent IoT monitoring and control through cloud computing and machine learning
Authors: Li Hanzhe , Wang Xiangxiang , Feng Yuan , Qi Yaqian , Tian Jingxiao
Published: May 2024

At present, cloud computing and the Internet of Things are closely integrated. IoT devices gather data through sensors and transmit it to the cloud for storage, processing, and analysis. This synergy enables efficient data management and in-depth analysis, facilitating real-time monitoring and predictive maintenance. This article explores leveraging cloud computing and machine learning for intelligent IoT monitoring and control. Edge computing, a distributed architecture, decentralizes data processing from the cloud to reduce latency and improve efficiency. This combination enhances security and drives the development of intelligent systems.
Application of machine learning optimization in cloud computing resource scheduling and management
Authors: Zhang Yifan , Liu Bo , Gong Yulu , Huang Jiaxin , Xu Jingyu , Wan Weixiang
Published: May 2024

In recent years, cloud computing has been widely used. Cloud computing refers to the centralized computing resources, users through the access to the centralized resources to complete the calculation, the cloud computing center will return the results of the program processing to the user. Cloud computing is not only for individual users, but also for enterprise users. By purchasing a cloud server, users do not have to buy a large number of computers, saving computing costs. According to a report by China Economic News Network, the scale of cloud computing in China has reached 209.1 billion yuan.Rational allocation of resources plays a crucial role in cloud computing. In the resource allocation of cloud computing, the cloud computing center has limited cloud resources, and users arrive in sequence. Each user requests the cloud computing center to use a certain number of cloud resources at a specific time.
RNA secondary structure prediction using transformer-based deep learning models
Authors: Zhou Yanlin , Zhan Tong , Wu Yichao , Song Bo , Shi Chenxi
Published: May 2024

The Human Genome Project has led to an exponential increase in data related to the sequence, structure, and function of biomolecules. Bioinformatics is an interdisciplinary research field that primarily uses computational methods to analyze large amounts of biological macromolecule data. Its goal is to discover hidden biological patterns and related information. Furthermore, analysing additional relevant information can enhance the study of biological operating mechanisms. This paper discusses the fundamental concepts of RNA, RNA secondary structure, and its prediction.Subsequently, the application of machine learning technologies in predicting the structure of biological macromolecules is explored. This chapter describes the relevant knowledge of algorithms and computational complexity and presents a RNA tertiary structure prediction algorithm based on ResNet. To address the issue of the current scoring function's unsuitability for long RNA, a scoring model based on ResNet is proposed, and a structure prediction algorithm is designed. The chapter concludes by presenting some open and interesting challenges in the field of RNA tertiary structure prediction.
Intelligent classification and personalized recommendation of E-commerce products based on machine learning
Authors: Xu Kangming , Zhou Huiming , Zheng Haotian , Zhu Mingwei , Xin Qi
Published: May 2024

With the rapid evolution of the Internet and the exponential proliferation of information, users encounter information overload and the conundrum of choice. Personalized recommendation systems play a pivotal role in alleviating this burden by aiding users in filtering and selecting information tailored to their preferences and requirements. This paper undertakes a comparative analysis between the operational mechanisms of traditional e-commerce commodity classification systems and personalized recommendation systems. It delineates the significance and application of personalized recommendation systems across e-commerce, content information, and media domains. Furthermore, it delves into the challenges confronting personalized recommendation systems in e-commerce, including data privacy, algorithmic bias, scalability, and the cold start problem. Strategies to address these challenges are elucidated. Subsequently, the paper outlines a personalized recommendation system leveraging the BERT model and nearest neighbor algorithm, specifically tailored to address the exigencies of the eBay e-commerce platform. The efficacy of this recommendation system is substantiated through manual evaluation, and a practical application operational guide and structured output recommendation results are furnished to ensure the system's operability and scalability.
Deep learning vulnerability analysis against adversarial attacks
Authors: Cheng Chi
Published: May 2024

In the age of artificial intelligence advancements, deep learning models are essential for applications ranging from image recognition to natural language processing. Despite their capabilities, they're vulnerable to adversarial examplesdeliberately modified inputs to cause errors. This paper explores these vulnerabilities, attributing them to the complexity of neural networks, the diversity of training data, and the training methodologies. It demonstrates how these aspects contribute to the models' susceptibility to adversarial attacks. Through case studies and empirical evidence, the paper highlights instances where advanced models were misled, showcasing the challenges in defending against these threats. It also critically evaluates mitigation strategies, including adversarial training and regularization, assessing their efficacy and limitations. The study underlines the importance of developing AI systems that are not only intelligent but also robust against adversarial tactics, aiming to enhance future deep learning models' resilience to such vulnerabilities.
AN INVESTIGATION OF TURKISH SPEECH AND LANGUAGE THERAPISTS’ THOUGHTS ON ALTERNATIVE AND AUGMENTATIVE COMMUNICATION SYSTEMS
Authors: KOÇAK AYŞE NUR , ÇETİNKAYA HANDAN , BENİZ RUVEYDA NUR , KARATEKİN AYŞE NUR
Published: May 2024

Amaç: Dil ve konuşma terapistleri (DKT), alternatif ve destekleyici iletişim sistemlerinin (ADİS) hazırlanması ve öğretilmesinde birincil yetkililerdir. Bu çalışma Türk dil
ve konuşma terapistlerinin ADİS sistemleri hakkındaki düşüncelerini incelemeyi amaçlamaktadır.
Yöntem: Araştırma, araştırmacılar tarafından geliştirilen “Alternatif ve Destekleyici İletişim Sistemleri Bilgi Anketi (ADİSBA)” ile gerçekleştirilmiştir. ADİSBA, a) Demografik sorular, b) ADİS ile ilgili 17 madde ve c) ADİS hakkında iki açık uçlu soru olmak üzere üç bölümden oluşmaktadır. Bu çalışmaya 45 DKT katılmıştır.
Bulgular: Klinik ortamda ADİS kullanan katılımcıların, kullanmayanlara göre ADİSBA skorları istatistiksel olarak anlamlı farklılık göstermektedir (p =,003 <,05).
Katılımcıların %80’inin ADİS kullanımında rahat olmadığı görülmüştür. Katılımcıların ADİS örnekleri incelendiğinde, katılımcıların sadece beş farklı ADİS örneği
verebildiği görülmüştür. Katılımcıların verdiği ADİS örneklerinin çoğunluğunu düşük teknolojili ve yardımsız sistemler oluşturmaktadır. Ayrıca katılımcıların, %32,94
oran ile en çok verdikleri örneğin düşük teknolojili bir system olan “İletişim Tahtası” olduğu gözlemlenmiştir. DKT’lerin %82,2’si ADİS kullanmak istemektedir ancak
a) ADİS hakkında bilgi eksikliği, b) materyal yetersizliği, c) ailelerin olumsuz düşünceleri d) DKT’lerin ADİS’leri kullanırken rahat olmamaları bu sürecin önündeki
engellerdir.
Sonuç: Bu çalışmada DKT’lerin ADİS konusunda bilgi ve farkındalıklarının düşük olduğu belirlenmiştir. Katılımcıların verdikleri örneklerin sınırlı olması, destekli
öğrenme sistemlerinin Türkiye’de yeterince bilinmediğini göstermektedir Ancak, DKT’lerin ADİS’i klinik ortamda tercih etmemelerine yönelik farklı nedenleri
bulunmaktadır. Türk kültürü ve diliyle uyumlu materyallerin geliştirilmesine ihtiyaç vardır. Bunu geliştirmek için, DKT’lerin ADİS sistemlerine yönelik araştırmalar
yapması oldukça önem taşımaktadır. Ayrıca, DKT lisans eğitiminde ADİS ile ilgili verilen eğitiminin geliştirilmesine ihtiyaç bulunmaktadır. Bu gelişme ile Türkçe diline
özgü ADİS çeşitlerinin güncel tutulabileceği düşünülmektedir.
Machine Learning in Credit Risk Forecasting —— A Survey on Credit Risk Exposure
Authors: Li Shaoshu
Published: May 2024

Credit risk is one of the most important elements in risk management area. Traditional regression types of credit risk models are straightforward to implement and model outputs are easy to interpret. However, the model accuracy can always be suboptimal to fit the real credit risk data series. Especially, the model performance even deteriorates under extreme economic scenarios. In contrast, the modern machine learning models can handle different drawbacks of regression types of models. In this paper, we survey the recent literatures on applying the machine learning or deep learning methods in credit risk forecast with special focus on study the superiorities of these techniques. Besides of delivering better prediction accuracies, we uncover other four advantages for machine learning type of default forecast which have been shown in few literatures. We also survey the less studied machine learning or deep learning type of prepayment forecast. By reviewing past literatures from both default and prepayment risk aspects, we can gain comprehensive overview of utilizing machine learning techniques in credit risk forecasting and valuable insights for future risk management research.
Peran Guru sebagai Motivator Belajar dan Menanamkan Jiwa Nasionalisme Peserta Didik Sekolah Indonesia Kuala Lumpur (SIKL)
Authors: Muzakir Muchammad Ibnu , Kholik Mohammad Fariz Dzikrul , Yusra Andi Nurfadilah , Salsabilah Annisa Safitri , Habib Hafiz Farhan
Published: May 2024

This research aims to get an overview and examine learning motivation and instilling nationalist values in students at the Kuala Lumpur Indonesian School (SIKL). The approach used in this research is a qualitative approach with descriptive methods. In collecting data, researchers used several techniques, namely through interviews, observation and documentation studies. The data that was collected was analyzed descriptively qualitatively using the constant comparison method and the Constant Comparative Method. The research location is the Indonesian School Kuala Lumpur (SIKL) Kuala Lumpur, Malaysia. The research results show that: (1) The teacher's role is as a motivator and understands the steps that can be taken to achieve optimal learning conditions for students. (2) The role of teachers in teaching nationalist values in classroom learning. (3) The teacher's role is to foster students' love and enthusiasm for nationalist values. (4) The teacher facilitates students to preserve the Indonesian language. (5) The role of the teacher in developing students' nationalistic character and attitudes through the learning process in the classroom and outside the classroom is very important where a PPKN teacher will be able to carry out his obligations and responsibilities if the teacher has first mastered and is able to apply positive behavior to himself so that he can become a role model for his students
Implementasi Proyek Penguatan Profil Pelajar Pancasila dalam Meningkatkan Sikap Beriman, Bertakwa, dan Berakhlak Mulia Siswa Kelas IV Sekolah Dasar
Authors: Rusmiati Mei Nur , Dewi Dinie Anggraeni , Furnamasari Yayang Ffuri
Published: May 2024

The project of strengthening the profile of Pancasila students can be a bridge in instilling students' attitudes of faith, piety, and noble character at school. This study aims to determine the implementation of the Pancasila student profile strengthening project in improving the attitude of faith, piety, and noble character of grade IV students at SDN Sukaraja 2. The method used is descriptive qualitative. Then, data collection was obtained through interviews, observations, and documentation. The results showed: The implementation of the Pancasila student profile strengthening project in improving the attitude of faith, piety, and noble character has gone well and has a positive impact; Obstacles in the implementation of the Pancasila student profile strengthening project at SDN Sukaraja 2, namely lack of understanding, inadequate facilities, and lack of communication in the implementation of the Pancasila student profile strengthening project; Solutions to overcome the obstacles that occur, namely increasing understanding of the Pancasila student profile strengthening project, improving school facilities, and improving good communication relations. These results indicate the success in the implementation of the Pancasila student profile strengthening project in improving the attitude of faith, piety, and noble character of students at SDN Sukaraja 2.
The Effective British Broadcasting Corporation’s (BBC) Optimal Pronunciation Vocational School's (OPVS) Podcast
Authors: Susanti Rr Retno Dwi
Published: May 2024

The objective of this initiative is to improve pronunciation fluency in vocational schools by including a British accent. This study utilized the Wilcoxon signed-rank test as a component to collect both quantitative and qualitative data on product moment SPSS. The data was acquired by pronunciation evaluation test and analysis questions. The data employed in this study was gathered from a vocational school consisting of thirty students enrolled in a hospitality industry and cooking programme. The mean test score is 8.00, and the total amount of ranks is 120.00. According to the statistical test output provided, it is referred to as Asymp. The p-value (two-tailed) is 0.001. Based on the test statistics output above, it is known that Asymp. Sig. (2-tailed) has a value of 0.001, because the value of 0.001 is smaller than 0.05, it can be concluded there is a difference between learning outcomes using text transcripts and shadowing BBC Podcasts and those that do not use text transcripts and shadowing BBC Podcasts. The podcast produced by the BBC can enhance language acquisition by improving pronunciation skills, stimulating students' motivation to achieve English competence, and assisting listeners in developing a predominantly British accent
Women and aviation quality jobs, attraction and retention
Authors: Seligson David ,   International Labour Organization.
Published: May 2024

The paper is the result of an unprecedented combination of industry and worker inputs,
and it has benefitted from information and data provided by the International Civil
Aviation Organization. Governments, workers, employers and international organizations
all have an important role to play in establishing, promoting and implementing policy
choices that advance gender equality. These choices will depend on changing contexts,
as gender equality is a constantly moving target. The paper includes information on
some of the current issues faced by women in civil aviation. Through a sectoral gender
lens, it examines employment, women’s career cycles and the main decent work opportunities
and challenges in the sector. It also identifies ways of accelerating the achievement
of gender equality.
The psychological climate and its role in enhancing academic self-motivation among female students of the College of Physical Education and Sports Sciences
Authors: Raghdaa Fouad Muhammed  , Hind Salem Tayeh  , Bydaa Tariq Abdul Wahed  , Huda Shehab Gary  , Huda Idan Muhammed
Published: May 2024

ان المناخ النفسي هو احدى الجوانب النفسية الهامة المراد مراعاتها والاهتمام بها من قبل المختصين في مجال التعليم ، سواء كان المناخ سلباً او ايجابياً سينعكس بمواقفه السلوكية لدى الطالب عند التعامل  سواء كان مع اقرانه او مع التدريسي خلال الموقف التعليمي او خارجه، اما الدافعية تعد النـشاط أو الفعالية والطاقة, وتتضح اهمية الدراسة الحالية عن طريق سعي الباحثون في التعرف على أهمية المناخ النفسي لطلبة الجامعة ولما له تأثير على الدافعية الذاتية الاكاديمية لطالبات كلية التربية البدنية وعلوم الرياضة للبنات /جامعة بغداد . لذا اعتمد الباحثون على المنهج الوصفي بالأسلوب المسحي والعلاقات الارتباطية لملاءمته طبيعة الدراسة وأهدافها.وأستخدمت مقياسي الدراسة كل من المناخ النفسي والدافعية على عينه اذ بلغ عددهم (312) طالبة توزعت بواقع (142) طالبة للمرحلة الرابعة، (170) طالبة للمرحلة الثالثة, واستنتج الباحثون توجد علاقة ارتباط ايجابية بين المناخ النفسي والدافعية الاكاديمية لطالبات كلية التربية البدنية وعلوم الرياضة للبنات. أن الرياضة تشكل عنصراً أساسياً من عناصر التنمية المستدامة ضمن إطار النظام التعليمى الشامل،  معرفة مدى تأثير التغيرات المناخية و التنمية المستدامة بدرس التربية الرياضية وهذا ما يحقق احد اهداف التنمية المستدامة للامم المتحدة في العراق (التعليم الجيد)
IDENTIDADE DA UNIVERSIDADE PRIVADA NO CONTEXTO MIDIÁTICO DE MERCANTILIZAÇÃO DE ENSINO FRENTE A INDÚSTRIA CULTURAL
Authors: Andrade Tiago Negrão de , Ramirez Bruna Fernanda Damasceno , Morais Osvando José
Published: May 2024

A teoria crítica continua sendo muito atual para a universidade privada, seu repertório, sua vocação culturalista, que passou por sérias transformações culturais. Uma instituição complexa que atua de modo  integrado o ensino, a pesquisa e a extensão acaba sendo cobrados diante das crises sociais. Revisou-se os  efeitos críticos na ideia da comercialização da educação, sob o efeito da publicidade e propaganda das  campanhas dos vestibulares, sob o prisma do capitalismo social. São pelas diretrizes organizacionais e  relações públicas, tais como visão, missão, valores, filosofias, crenças, como bem definindo em seu  Estatuto e Regimento, que seus materiais de comunicação institucional, mercadológica e administrava  norteiam jovens e propósitos.
Improving Learners’ English-Speaking Accuracy by Using Interrogative Constructions
Authors: Nguyen Kim Chi An , Le Hoang Dung
Published: May 2024

English speaking accuracy is one of the most important aspects of Business English. While most studies are conducted to improve English speaking accuracy, they neglect phrasal semantics. This present study involves 30 participants from Phu Em Company. The study employs a mixed-methods design in which the quantitative approach helps quantify the speaking accuracy scores made by learners while the qualitative approach explores how learners perceive the use of interrogative constructions. The instruments are a questionnaire and an interview. Data analysis procedures include a theme analysis of the interview data, a statistical analysis of the test and survey data, and integrated findings. The findings from this research provide evidence that using interrogative constructions does not improve grammatical or phonological accuracy but improves expressing accuracy. The study also reveals that 58% of EG learners provide positive feedback on the use of interrogative constructions in learning English speaking skills. Based on the findings, several suggestions are offered to teachers and learners.
AN ORGANIZATIONAL STUDY AT WINGS BRAND ACTIVATISIONS PVT LTD
Authors:   UG Student, SOEC, CMR University, Bangalore, M Sharanya
Published: May 2024

Event management is a multifaceted discipline that requires a delicate balance of organizational prowess, creative vision, and strategic execution. This abstract explores the essence of event management, emphasizing its significance in modern society and the intricacies involved in orchestrating successful events . Events serve as powerful platforms for communication, celebration, and networking across various domains, including corporate, social, cultural, and educational spheres. They have the potential to leave a lasting impact on attendees, shaping perceptions, fostering connections, and driving change. However, behind the scenes, event management entails a myriad of tasks, from conceptualization and planning to implementation and evaluation.
IMPACT OF COVID-19 ON THE SELECTED PRIVATE EDUCATIONAL INSTITUTES IN DELHI-NCR REGION
Authors: TIWARI VIVEK
Published: May 2024

The private educational institutions in the Delhi-NCR region have been hit particularly hard by the COVID-19 pandemic, which has affected many parts of their operations and the people who have a stake in them. In light of the complex ways in which these institutions have responded to the pandemic, this research delves into their methods of adjustment. The sudden shift to online education has been one of the most noticeable effects of the pandemic, upending the conventional school year and forcing institutions to adjust their schedules accordingly. Despite this change, there have been obstacles. As a result of rising costs for technological infrastructure and falling income from tuition and other sources, many institutions are struggling to make ends meet. Also impacted are faculty and staff members; some have had to adapt their teaching styles to fit online platforms, while others have faced layoffs or reduced salaries. Isolation and future uncertainty have contributed to students' elevated stress and anxiety levels, which the pandemic has further heightened. They have looked into new ways of teaching and technology to improve online learning experiences and have put measures in place to help students' mental health. The importance of continuous support and adaptation in dealing with the changing pandemic challenges is emphasised by this study. Keywords:- Covid-19, private educational institutes, Delhi-NCR, online learning, financial
Optimization of Aircraft Fuel Systems Considering Fluid Dynamics Principles
Authors:   Trinity Polytechnic Pune, Y.R. Mr. Bhamare
Published: May 2024

The fuel system is the lifeline of any aircraft, pivotal for its operation and future advancements. This study delves into aircraft fuel system design methodologies, aiming to streamline development processes. Through optimization and matrix methods like the morphological matrix, Saab Aerospace pioneer’s conceptual designs. These methods automate development and deepen our understanding of how top-level requirements impact engineering details. Quantifying matrices opens doors to design optimization and probabilistic design. Furthermore, a systematic approach to simulation modeling minimizes development time, leveraging parallel development and collaborative engineering. With stakeholder expectations in mind, experience gleaned from projects like the Gripen fuel system shapes an overarching process for future endeavors. This journey promises to reshape aircraft fuel system design, ensuring each drop of fuel propels us towards boundless horizons. Key Words: Aerospace engineering, Fuel system, Optimization techniques, Matrix methods, Simulation models, Conceptual design, System integration, Aircraft performance, Fuel tank configurations, Operational flexibility, Gripen Fuel, DSM- Design Structure Matrix
Innovative Cloud Computing Techniques for Big Data Administration Getting Past Roadblocks and Developing New Paths
Authors:   CSE,SIET, Shobhit Institute of Engineering and Technology Deemed to be University, Meerut,U.P., India, Mirza Nimra
Published: May 2024

The digital era's introduction of big data has fundamentally altered the landscape of information management, providing organizations across a wide range of industries with unprecedented opportunities and difficulties. This scientific inquiry digs into the convergence of cloud computing and big data, presenting a thorough history of their evolution and underlining their critical roles in modern data governance. Through a meticulous examination of the critical role of effective big data management across diverse industries, the paper emphasizes the critical importance of cloud computing solutions in addressing the multifaceted complexities arising from data volume, velocity, variety, veracity, and security. Conventional big data handling approaches inside cloud computing frameworks, such as batch processing, stream processing, data warehousing, and virtualization, are thoroughly evaluated in light of their inherent constraints. The paper then examines modern cloud computing solutions that have been precisely tuned to handle the issues of scalability, real-time processing, and security inherent in large data management. The investigation is complemented by the inclusion of informative case studies and real-world examples that demonstrate the practical applicability of these pioneering ideas across a wide range of sectors, from entertainment to manufacturing. Furthermore, the paper defines emerging technologies and trends in cloud computing, highlights persistent obstacles, and outlines prospects for innovation and future research in the field. Ethical and regulatory aspects such as data privacy, fairness, openness, and compliance are extensively reviewed and emphasized. Finally, the article recommends for ongoing innovation, academic investigation, and ethical discernment to fully realize the promise of big data while limiting related hazards, emphasizing the dynamic nature of big data governance within the context of cloud computing. Key Words: Cloud computing, Big data, Hadoop ,Spark, AI and machine learning integration Blockchain