bluuebunny/crossref_metadata_2025 huggingface dataset:
Makna Merokok bagi Wanita: Studi Fenomenologi pada Mahasiswi Perokok
Authors: Usman Ari
Published: July 2024

Smoking activity is not only dominated by men. Female smoker is an existing phenomena that can be found in our daily life. Most of them are female college student. Even though they are threatened by some health risks and negative stigmas from society, female smokers keep doing their habit. This phenomena becomes interesting to explore that we may have deeper understanding about the meaning of smoking from the female smoker perspective. This study uses qualitative method with phenomenology approach. Data gain by: in-depth interview, observation, and literature study. The result shows that female smoker perceives smoking activity as: breathing exercise that bring calm and clarity of mind, an emotional reducer that helps relieve anger or sadness, a self-protection camouflage as a tough woman. Nevertheless informant also thinks that smoking could be harmful because of the health risk and stereotype from others. Based on analysis using Cognitive Dissonance Theory, the three meanings are the informant's efforts to minimize the dissonance between one cognitive element that she already knows about the risks of smoking for women and the cognitive element of the informant as an active smoker.
Virginity as a Choice: Expression of Gen Z about Sexual Agency in a Complex World
Authors: Effendi Masitah , Rohma Nur Faizatur , Prastiti Jamalia Putri
Published: July 2024

In a complicated and evolving environment, this research delves deeply into the ways that men and women of Generation Z express their sexual agency about virginity. Social pressures, cultural conventions, and the fast advancement of technology are all present in today's environment. The authors discovered through extensive qualitative research techniques and explored the perspectives of Generation Z (Gen Z) individuals in Surabaya City, Indonesia, that Generation Z handles their decisions about virginity in very personal and distinctive ways, frequently questioning and opposing conventional standards and expectations. The research aims to understand how Gen Z navigates their sexual choices in a complex socio-cultural environment. This article also assesses the effects of Generation Z's choices about virginity on their mental, emotional, and physical well-being. The findings demonstrate that, depending on the person and social situation, these decisions can have important and diverse outcomes. However, the authors stress that further study is required to completely comprehend the ramifications of this decision. The study employs in-depth interviews and focus group discussions as primary data collection methods. Participants include Gen Z individuals aged between 18 and 24 years, residing in Surabaya city. All things considered, this article offers significant new perspectives on how Generation Z perceives and uses their sexual agency when they are virgins. By offering a greater understanding of how young people navigate and comprehend their sexuality in a complicated world.
Keywords: Virginity; Gender; Generation Z; Sexual Right (Agency).
Conventional water resources associated with climate change in the Southeast Mediterranean and the Middle East countries
Authors: Adamopoulos Ioannis Pantelis , Syrou Niki Fotios , Adamopoulou Jovanna Pantelis , Mijwil Maad Mohsin
Published: July 2024

Conventional water sources in the Southeast Mediterranean and the Middle East play a crucial role in driving the socio-economic progress of the region. This study aims to address the uncertainties, discrepancies, and gaps in knowledge regarding how to combat the climate crisis and extreme weather events impacting traditional water sources. These sources encompass rivers, lakes, reservoirs, and groundwater reservoirs that are vital for agriculture, industry, and daily household needs. The availability and upkeep of water resources in this area are influenced by factors like climate change, population growth, and competing demands from different sectors. The methodology involved an extensive review of research literature curetted from a wide array of international scientific studies and reports, drawing data from sources such as PubMed, EBSCO, Medline, EMBASE, CINAHL, Scopus, Web of Science, Science Direct, Google Scholar, and UNESCO, WHO databases. The findings underscore the importance of traditional water sources in these regions, underscoring their significance for agricultural, industrial, and domestic applications. The accessibility of water resources varies among nations, with some grappling with water scarcity issues. This research delves into the condition of traditional water sources in the Southeast Mediterranean and the Middle East, shining a spotlight on concerns like water scarcity, pollution, and governance, offering valuable insights into these critical resources.
Pengaruh Pendidikan Terhadap Tingkat Kesehatan Masyarakat Kecamatan Suragala Kabupaten Lombok Timur Menggunakan Algoritma Random Forest
Authors: . Yahya , Nurhidayati  , L. M. Samsu
Published: July 2024

SDGs are a global concern of the international community, including the Indonesian nation. There are many activities carried out by the international community to address this SDGs issue. Starting from real actions in the field to a continuous data collection process. In Indonesia, data collection has been carried out repeatedly, but the follow-up to each data collection is felt to be lacking, therefore Hamzanwadi University, using the Gemilang Village Thematic KKN application, has also played an active role in the data collection process. However, up to now, information about data collection results and follow-up actions has not been provided properly, in fact none of the data collection results have been processed to obtain clear and measurable information. Through internal higher education research carried out by Hamzanwadi University, an attempt was made to carry out research starting with the SDGs data processing process, namely education and health, to provide knowledge and information about whether or not there is an influence of education on the health of the people of Suralaga District, East Lombok Regency, so that if the influence If education plays a significant role, the Suralaga District Government can take concrete steps to improve it in the future. From the results of data processing it can be concluded that the influence of education on the level of public health is very high, using 90% training data and 10% testing data can achieve an accuracy of 88.61%, which means 700 data show a positive trend of education on the level of public health
Visualisasi Dinamika PHK Global dan Regional Menggunakan Tableau : Dampak Teknologi dan Ekonomi di Era Globalisasi
Authors: Fianty Melissa , Kevin Aditya Hartono  , Juanito Arvin William  , Julius Calvin Saputra
Published: July 2024

The development of information technology has influenced the structure of industries and global business practices, posing significant challenges related to job terminations or layoffs. This research aims to analyze the dynamics of global and Indonesian layoffs using data visualization tools such as Tableau, with a focus on their impact on economic growth, employment, and the achievement of SDG number 8. The research method involves five stages, from problem identification to conclusions, with an emphasis on layoff dynamics in the technology sector. The analysis results indicate that the year 2021 recorded the highest number of employee layoffs globally, particularly in North America, especially in the consumer and retail sectors. Industry analysis highlights the vulnerability of 'post-IPO' companies to layoffs, while early-stage startups tend to be more stable. In Asia, there has been an increase in layoffs, with India being the most affected country, while in Indonesia, the transportation sector, especially GoTo Group, recorded the highest number of layoffs. Recommendations include adaptive labor policies and support for affected workers to mitigate the socio-economic impact of layoffs globally
Sistem Kendali Perangkat Listrik dan Monitoring Daya Listrik Berbasis Internet Of Things.
Authors: Permana Baiq Andriska Candra , Muhammad Sadali  , Aris Sudianto  , Harianto  , Lalu Kerta Wijaya
Published: July 2024

Electricity is one of the basic needs of everyday life. Nowadays, humans are heavily dependent on the availability of electricity, where a stable power supply is essential for lighting and operating various electronic devices. The average electricity consumption of the Indonesian population continued to increase every year during the period 1971–2022. That's a straightforward comparison to the ever-increasing electricity tariff. One attempt to save on the cost of electricity use, for example, is to use it wisely. The research aims to make it easier for users to control electrical devices and monitor the use of electricity at home even when they are not there. The method used is the Internet of Things (IoT) and Blynk technologies that installed on smartphones connected to the Internet. The research results show that users can control electrical devices at home and monitor the power used at home remotely only through their smartphones, as long as their smartphone has an internet connection. With the control and monitoring system, it will be easier for users to manage electricity usage and address instances of electricity wastage caused by user negligence in turning off the electricity when leaving the house
Analisis Klasifikasi Konsentrasi Mahasiswa Menggunakan Algoritma K-Nearest Neighbor
Authors: Alwanda Almi yulistia , Ema Utami  , Ainul Yaqin
Published: July 2024

Hamzanwadi University located in West Nusa Tenggara boasts a Faculty of Engineering, which plays a pivotal role in delivering top-notch higher education. This faculty offers four highly coveted programs—Informatics Engineering, Information Systems, Computer Engineering, and Environmental Engineering—that attract a significant number of students. The increase in enrollment in these programs underscores the faculty's success, particularly owing to the promising job opportunities in these fields. Nevertheless, students often encounter intricate challenges when selecting their area of specialization that resonates with their interests and capabilities. In addressing this concern, the Faculty of Engineering at Hamzanwadi University provides diverse concentration options like Data Science, RPL, and Multimedia. To aid students in making informed decisions regarding their study concentration, this study employs the K-Nearest Neighbor (KNN) algorithm to analyze the classification of student concentrations. This research adopts an experimental approach and utilizes data collection methods such as observation, interviews, and surveys. The dataset comprises seven attributes including NIM, Gender, GPA, Data Science Course Grade, RPL Course Grade, and Multimedia Course Grade, processed using the KNN algorithm through Google Colab. The research outcomes reveal that with k=2 and 8-fold cross-validation, the achieved accuracy stands at 67%.
Using blockchain technology to maximize supply chain and logistics management in north America
Authors: DANIEL IKECHUKWU EKWUNIFE  , OJO TITILAYO PRECIOUS  , OLADAPO AZEEZ RASUL  , OLUWAGBEMISOLA FAITH AKINLADE  , TIMOTHY OGECHUKWU NWOKORO  , VICTORY IHEOMA IKPE
Published: July 2024

This study explores the application of blockchain technology in optimizing supply chain and logistics management within North America. Through qualitative thematic analysis, three key objectives were addressed: identifying benefits, examining implementation challenges, and assessing barriers to adoption. The analysis highlights significant benefits of blockchain adoption, including enhanced trust, transparency, automation, traceability, and data security, supported by findings from various studies. However, implementation challenges such as system design complexity, resistance to change, and inadequate IT staff pose obstacles to adoption. Furthermore, barriers to widespread adoption, such as the absence of a proper legal framework and the capital-intensive nature of blockchain adoption, were identified. These barriers underscore the need for collaborative efforts to address regulatory uncertainties and financial constraints. It was suggested that further studies could explore the long-term impacts of blockchain technology on supply chain resilience and sustainability, as well as investigate strategies to overcome implementation challenges and maximize the technology's potential across diverse industries and regions.
A study on machine learning-based prediction of cerebellar ataxia using gait analysis and accelerometer data
Authors: Chaitra K J  , Subramanya Bhat  , Sreenivasa B R
Published: July 2024

In the neurological field, predicting Cerebellar Ataxia (CA) is based on analyzing gait values of human actions. Analyzing Gait (AoG) can potentially guide effective treatment strategies. This study aimed to create a machine-learning model for predicting AoG using gait patterns indicative of pre-AoG conditions. During the execution of designed walking tasks to provokeAoG, accelerometers were attached to the lower back of 21 subjects as they performed 12 different walking positions to collect acceleration impulses. The participants engaged in walking exercises for one minute at 12 different walking speeds on a split-belt treadmill, ranging from 0.6 to 1.7 m/s in 0.1 m/s increments. The speed sequence was randomized and concealed from the subjects to minimize fatigue effects. Prior research studies have surveyed machine-learning algorithms such as support vector machine (SVM) and k-nearest neighbors (KNN). These algorithms demonstrate strong performance, especially when the dataset is trivial, and the classification is binary. SVM, KNN, decision trees, and XGBoost algorithms were utilized in the proposed study on the CA dataset. Our findings revealed that the AdaBoost algorithm, with its high precision, offers a more precise categorisation of the severity of CA disease, instilling confidence in the study's findings.
Edukasi tentang tanaman herbal untuk mengatasi Hipertensi di Dusun Sumber Gamol Gamping Sleman
Authors: Istichomah Istichomah , Ambarwati Eny Retna
Published: July 2024

Menurut data Organisasi Kesehatan Dunia (WHO) tahun 2018, sekitar 1,13 miliar orang di seluruh dunia menderita tekanan darah tinggi, yang berarti satu dari tiga orang di seluruh dunia telah didiagnosis menderita tekanan darah tinggi. Jumlah penderita hipertensi terus meningkat setiap tahunnya, diperkirakan 1,5 miliar orang menderita hipertensi pada tahun 2025  dan diperkirakan 10,44 juta kematian setiap tahunnya  akibat hipertensi dan komplikasinya. Upaya menjaga kestabilan tekanan darah terus dilakukan oleh pemerintah dan masyarakat. Salah satunya dengan upaya pemberian edukasi kepada lansia tentang penggunaan tanaman herbal untuk mengkontrol tekanan darah. Tekanan darah tinggi merupakan Tanaman herbal yang digunakan antara lain mentimun, bawang putih,  daun salam, dan daun seledri. Kegiatan yang dilakukan di dusun Sumber Gamol, Gamping, Sleman diikuti oleh 54 orang peserta. Peserta yang sebagian besar terdiri lansia ini sangat antusias yang ditunjukkan dengan keseriusannya dalam menyimak materi, menjawab pertanyaan dan menanyakan tentang materi edukasi. Dari pertanyaan yang diberikan oleh pemateri juga dapat dijawab dengan benar oleh peserta.   Add Contributor
Pengaruh Profitabilitas Dan Leverage Terhadap Pengungkapan Emisi Karbon Serta Dampaknya Terhadap Harga Saham
Authors: Lestari Irma Sri , Lestari Dwi Indah
Published: July 2024

Penelitian ini bertujuan untuk mengetahui pengaruh Profitabilitas dan Leverage terhadap Pengungkapan Emisi Karbon serta Dampaknya terhadap Harga Saham yang berfokus pada perusahaan Non Finance yang terdaftar di Bursa Efek Indonesia tahun 2012-2020. Penelitian ini menggunakan metode penelitian kuantitatif dengan pengambilan sampel menggunakan metode purposive sampling dengan sampel sebanyak 14 perusahaan dan 9 tahun pengamatan sehingga sampel yang diperoleh sebanyak 126 sampel. Data yang digunakan dalam penelitian ini merupakan data sekunder berupa annual report dan sustainability report setiap perusahaan. Alat analisis pada penelitian ini menggunakan path analysis. Hasil penelitian ini menunjukan bahwa profitabilitas serta leverage tidak memiliki pengaruh terhadap pengungkapan emisi karbon, secara langsung profitabilitas memiliki pengaruh positif terhadap harga saham, sedangkan leverage secara langsung memiliki pengaruh negatif terhadap harga saham, serta pengungkapan emisi karbon tidak memiliki pengaruh terhadap harga saham. Profitabilitas secara tidak langsung tidak berpengaruh terhadap harga saham dengan melewati pengungkapan emisi karbon, sedangkan leverage secara tidak langsung memiliki pengaruh negatif terhadap harga saham dengan melewati pengungkapan emisi karbon.
Analisis Akuntansi Biaya Lingkungan Industri Kimia Di Kota Cilegon Sebagai Wujud Implementasi dari Green Accounting
Authors: Husni Mohamad , Komarudin Mochamad Fahru , Idayu Riyanthi
Published: July 2024

Focus utama pelaku industry sekarang adalah berupa lingkungan, dimana pelaku industry dituntut untuk lebih bertangungjawab terhadap lingkungan yang diakibatkan dari  aktivitas operasinya yang notabene bersinggungan dengan pemanfaatan lingkungan, karena salah satu kontribusi terbesar terkait permasalahan lingkungan adalah merupakan buah dari aktivitas industry yang dihasilkan oleh perusahaan seperti limbah ataupun yang lainnya. Penelitian ini bertujuan untuk mengetahui seberapa besar penerapan green accounting dan analisis biaya lingkungan yang dimulai dengan, pengidentifikasian, pengakuan, pengukuran, penyajian dan penungkapan pada perusahaan industry kimia PT Nippon Shokubai Indonesia, penelitian ini merupakan penelitian kualitatif dengan bentuk studi kasus. Hasil penelitian menyatakan bahwa PT Nippon Shokubai Indonesia, telah menerapakan praktek akuntansi Green Accounting walaupun belum seperti apa yang diharapakan, pengelolaan lingkungan yang dilakukan oleh PT Nippon Shokubai Indonesia dengan penglolahan limbah dilakukan sendiri dengan mengunakan alat Increator dan bila produksi limbah berlebih Perusahaan menunjuk pihak ke tiga yang berlinsensi dalam pengolahan limbah teruitama untuk limbah B3, terkait aspek pelaporan PT Nippon Shokubai Indonesia memiliki pos biaya yang tekait dengan kegiatan sosial dan lingkungan, namun secara khusus pelaporan terkait biaya lingkungan belum dilaporkan
Faktor-Faktor Yang Memengaruhi Tingkat Publikasi LKPD Pada Website Resmi Pemerintah Provinsi Di Indonesia
Authors: Reny Marliadi  , Wahyudin Nor  , Rusma Nailiah
Published: July 2024

Penelitian ini bertujuan menguji dan menganalisis faktor-faktor yang mempengaruhi tingkat publikasi LKPD pada Website Pemerintah Provinsi yaitu tingkat ketergantungan Pemerintah Provinsi, belanja modal, dan tingkat akses internet serta menguji dan menganalisis pengaruh Komitmen Kepala Daerah dalam memoderasi pengaruh langsung masing-masing variabel independen tersebut. Penelitian menggunakan data periode 2015-2021 yang diperoleh dari Website resmi 34 Pemerintah Provinsi dan Badan Pusat Statistik (BPS). Teknik analisis data menggunakan metode Partial Least Square di mana penarikan kesimpulan atas hipotesis ddiasarkan pada P Value. Hasil penelitian menunjukkan bahwa tingkat publikasi LKPD secara signifikan dipengaruhi oleh belanja modal dan tingkat akses internet, dan komitmen kepala daerah memoderasi secara signifikan pengaruh belanja modal dan tingkat akses internet terhadap tingkat publikasi LKPD pada Website resmi Pemerintah Provinsi. Sedangkan tingkat ketergantungan Pemerintah Provinsi tidak berpengaruh signifikan terhadap tingkat publikasi LKPD pada Website resmi Pemerintah Provinsi. Begitu pula komitmen Kepala Daerah tidak memoderasi secara signifikan pengaruh tingkat ketergantungan Pemerintah Provinsi terhadap tingkat publikasi LKPD pada Website resmi Pemerintah Provinsi.
Analisis Tipe Kompetisi, Dinamika Kestabilan Dan Peramalan Perolehan Laba Bersih Lembaga Keuangan Bank
Authors: Jamal Sri Wahyuni , Suparno Suparno , Fauziah Fenty , Anindita Marsha
Published: July 2024

Kompetisi di dalam dunia bisnis adalah hal yang tidak dapat dihindari, misalnya kompetisi di sektor perbankan. Pada sektor ini, kompetisi potensial dalam mendorong dunia usaha agar lebih kompetitif, dan juga meningkatkan efisiensi dan kesehatan bank. Tujuan utama dari penelitian ini adalah menganalisis kompetisi yang terjadi di antara bank BNI dan Mandiri menggunakan pendekatan model kompetisi Lotka-Volterra. Hasil dalam penelitian ini menunjukkan bahwa tipe kompetisi yang berlangsung antara bank BNI dan Mandiri adalah tipe prei-predator, di mana bank BNI bertindak sebagai prei, sedangkan bank Mandiri bertindak sebagai predator. Selain itu, hasil peramalan laba bersih di masa mendatang menunjukkan bahwa perolehan laba bersih bank BNI cenderung mengalami penurunan untuk periode sepuluh tahun ke depan, dan setelahnya stabil. Sebaliknya, perolehan laba bersih bank Mandiri mengalami peningkatan untuk periode tiga tahun ke depan, dengan perolehan laba bersih maksimum diperoleh pada tahun 2025, dan setelahnya stabil. Oleh karena itu, baik bank BNI maupun bank Mandiri harus mengambil sebuah kebijakan untuk mengatasi perolehan laba bersih yang berpeluang akan mengalami stagnasi di masa mendatang.Kata Kunci: bank, kompetisi, laba bersih, Lotka-Volterra, prei-predator, stabil
Pengaruh Pengalaman Auditor, Profesionalisme Auditor, Task Complexity, Time Pressure, Gender dan Etika Profesi Terhadap Auditor Materiality Judgments (DKI Jakarta, Indonesia)
Authors: Ginting Rudi
Published: July 2024

Abstract
Public Accounting Firms are professional institutions that are obliged to uphold ethics and professionalism, and are capable of global competition on an international and national scale.  Auditors are responsible for implementing professional standards and upholding the required provisions.  In the implementation of audited financial reports, misinformation is still found and there are even frauds in financial reports, so that it raises questions about the professionalism of Public Accountants who should provide reports that are reliable, accurate and free of material misstatement.  This debate has never been resolved, apart from involving large public accounting firms in the country and abroad. This research aims to examine the impact of experience, professionalism, complexity, pressure, gender and ethics on the auditor's assessment of materiality in audited financial reports. The research population is registered auditors at the Indonesian Institute of Public Accountants (IAPI) in the DKI Jakarta area. The simple random sampling method was used to select samples, distribute questionnaires to auditors who work at Public Accounting Firms (KAP) in the area. A total of 80 auditors filled out and returned the questionnaire as a sample. Data were analyzed using multiple linear regression with SPSS software, and tested the hypotheses in this research.
Examination of the data shows that experience, professionalism, complexity, pressure and gender influence the consideration of materiality levels in financial reports. Meanwhile, professional ethics has no impact or influence on the consideration of the level of materiality in financial reports.
Keywords: Experience, Professionalism, Task Complexity, Time Pressure, Gender, Professional Ethics, Materiality
Community Protector: Peran Kantor Pengawasan dan Pelayanan Tipe Madya Pabean C Nunukan Terhadap Penyelundupan Impor Pakaian Bekas
Authors: Irfan Muhammad Ahlul
Published: July 2024

Community Protector merupakan pelindung masyarakat umum dari impor barang lalu lintas, seperti pakaian bekas dan barang yang dilarang atau dibatas ekspor impornya. Bea Cukai bukan hanya merupakan penjaga pintu gerbang utama bagi barang-barang yang masuk ke suatu negara, tetapi juga memiliki tanggung jawab akan implementasi regulasi dan tentunya regulasi terkait impor. Penelitian ini bertujuan untuk mengetahui secara detail terkait peran dari Kantor Pengawasan dan Pelayanan Tipe Madya Pabean C Nunukan pada kasus penyelundupan impor pakaian bekas. Secara khusus, tujuan penelitian ini ialah mengkaji lebih dalam terkait dampak ballpress terhadap ekonomi masyarakat Indonesia. Metode yang digunakan dalam penelitian ini merupakan penelitian dengan menggunakan analisis kualitatif deskriptif.
Validación de un instrumento para evaluar metodologías de enseñanza con Student Response Systems
Authors: Ariza-Carrasco Cristian , Muñoz-González Juan Manuel , Hidalgo-Ariza María Dolores , Romero-Esquinas María Helena
Published: July 2024

El presente trabajo describe el proceso de construcción y estudio psicométrico del “Cuestionario para evaluar metodologías de enseñanza con SRS”, diseñado para recopilar información sobre los efectos que genera en el clima de aula, el aprendizaje y el proceso de evaluación del alumnado universitario la combinación de técnicas de aprendizaje cooperativo con Student Response System como Wooclap. Su importancia reside en la inexistencia de un instrumento fiable para su medición. El instrumento fue diseñado ad hoc, y se basa en una escala Likert (1-5) con 12 ítems distribuidos en tres dimensiones: Clima de aula, Aprendizaje y Evaluación a través de la herramienta tecnológica. Para ello, se han realizado dos estudios descriptivos por encuesta transversal en la Universidad de Almería, participando 187 estudiantes en el primero y 354 en el segundo del Grado en Educación Infantil. Los datos fueron sometidos a un análisis factorial exploratorio (AFE) y confirmatorio (AFC), así como a un análisis correlacional. Los resultados del AFE evidencian la estructura teórica inicialmente planteada de tres factores con 12 ítems, con comunalidades oscilando entre .47 y .99; y el AFC confirma esta organización y distribución con unos índices de bondad de ajuste del modelo superiores a .95, un coeficiente Alpha de Cronbach y Omega de McDonald superiores a .8, y una correlación bilateral significativa entre las dimensiones. En definitiva, se confirma la fiabilidad y consistencia del instrumento para recopilar información sobre los efectos de combinar metodologías de enseñanza de aprendizaje cooperativo con SRS para los procesos de enseñanza-aprendizaje del alumnado.
Efectos de la luz de color sobre la competencia lingüística escrita del alumnado de Primaria
Authors: Quiles-Rodríguez José , Palau Ramón
Published: July 2024

Los colores de los entornos educativos afectan a los procesos cognitivos y de aprendizaje del alumnado. Tradicionalmente esto se ha tenido en cuenta y se ha podido estudiar con el color de los elementos del aula. Dichos estudios no acaban de alcanzar la sistematicidad y rigor necesarios como para extraer unas conclusiones  prácticas. Actualmente la tecnología de luz emitida por diodos (LED) permite generar una fuente de “luz de color” integrante del entorno de aula, cuya peculiaridad dinámica permite que se pueda ir adaptando a las necesidades del proceso educativo. Como muestran trabajos previos, la exposición a diferentes escenarios de “luz de color” puede influir en el aprendizaje. En el estudio actual se analiza la influencia de dicha “luz de color” sobre el alumnado de educación primaria, más específicamente sobre su competencia lingüística escrita. Para ello se ha utilizado una metodología cuasi-experimental basada en el diseño de materiales equivalente que ha tenido lugar en un colegio rural de educación primaria, donde se han diseñado cuatro escenarios de “luz de color”, ejerciendo el primero de ellos como pretest.  Se han tomado valores repetidos de expresión y comprensión escrita, observando como estas se pueden ver determinadas por el cambio de los diferentes escenarios de “luz de color”. Los resultados de la investigación son dispares, encontrando valores más conclusivos para la expresión escrita mientras que no tanto para la comprensión. En cualquier caso, el dinamismo de la “luz de color” se erige como una tecnología interesante para su aplicación en el aula.
Protagonismo y autoconocimiento: perspectivas, factores y dinámicas intrapersonales e interpersonales
Authors: Polonia Ana da Costa , Miotto Angélica Inés , Suyo-Vega Josefina Amanda , Meneses-La-Riva Mónica Elisa , Fernández-Bedoya Víctor Hugo
Published: July 2024

La autoconciencia es objeto de estudio en diversas disciplinas como la sociología, la filosofía, la psicología y la educación, entre otros campos del saber. Se destacan aspectos intrínsecos como la creatividad, la confianza y un buen nivel de comunicación, que a su vez influyen positivamente en las relaciones interpersonales y en la toma de decisiones frente a las condiciones cotidianas de la vida y el trabajo. El propósito de este estudio es caracterizar las percepciones, ideas y concepciones sobre el autoconocimiento como uno de los componentes esenciales del protagonismo estudiantil. Los análisis se basan en uno de los foros del curso ‘Protagonismo y espacios de participación estudiantil’ desde la perspectiva del análisis de contenido de Bardin, adaptado para esta investigación. Participaron 14 estudiantes universitarios, pero los análisis se centran en los mensajes publicados por el grupo. Las categorías que emergieron fueron: (a) aspectos vinculados al autoconocimiento; (b) definición de autoconocimiento; y (c) relaciones con el desarrollo y el aprendizaje. Con relación al protagonismo y participación estudiantil, el autoconocimiento es un aspecto importante que fomenta el liderazgo, la autoeficacia, la capacidad de comunicación, la autoconfianza, el asertividad, la resolución de problemas y la generación de cambios en sí mismo y en el entorno social, según destacó el grupo de académicos.
Vocación docente: relación con el sentido de pertenencia y el apoyo de la dirección
Authors: Xipell Font Pau , Méndiz Noguero Alfonso
Published: July 2024

El sentido que llena el trabajo del profesorado tiene una mayor probabilidad de ser percibido como una vocación y facilita el desarrollo de su identidad docente. Investigaciones recientes han demostrado que este sentido de vocación favorece el desempeño de la docencia y reduce la intención de abandonar el puesto de trabajo. El interés vocacional, además, se presenta como la principal razón por la que escogen esta profesión los docentes españoles. En este contexto, el presente artículo explora el vínculo entre la vocación docente y dos variables relacionadas con la propia institución educativa: el apoyo que perciben desde la dirección del centro y el sentido de pertenencia que experimentan hacia su escuela. A pesar de que la pertenencia es una necesidad psicológica básica ampliamente analizada en el ámbito escolar, diversos autores han señalado que debe ser aún examinada con mayor profundidad en el profesorado. Mediante un cuestionario online, se recogieron respuestas de 227 docentes. Los resultados del análisis realizado mediante PLS-SEM reflejan que la vocación docente se refuerza cuando existe un apoyo por parte de la dirección y que, a la vez, esa misma vocación favorece un mayor sentido de pertenencia con la escuela. Estas conclusiones permiten abrir horizontes para mejorar la formación del equipo directivo y potenciar la identidad de los docentes.
Ecological monitoring of landscape sites using regularized artificial neural networks
Authors: Udovenko S.G. , Chala L.E. , Hrynova O. Ye. , Yarychkina T.S. T.S.
Published: July 2024

The problem of recognition and analysis of landscape objects cartographic images for localization of pollution areas,monitoring of changes of images contours under the influence of natural and anthropogenic factors is considered. Thearchitecture of a deep neural network is proposed that uses the technique of regularization of artificial neural networksto prevent its overfitting. The results of the construction, training and application of a convolutional neural network withthe Dropout elimination procedure for problems of ecological landscape monitoring are presented. The prospects ofusing the proposed approach for image recognition of problematic landscape areas are determined.
Methods of creating an intelligent system of ecological monitoring and analysis of the construction of complex boundaries of territories
Authors: Shubin I. Yu. , Kozyrev A.D. , Galak O.V. , Sytnyk Yu. I.
Published: July 2024

The rapid development of industry in the second half of the twentieth century led to a sharp increase in emissionsof harmful substances into the atmosphere, which led to the need to monitor the state of the environment in order toprevent the negative effects of pollution. The development of nuclear energy has become especially relevant in this task dueto the possibility of radionuclide contamination of the area on a scale from the industrial site of the NPP to several regions.As the problem of environmental protection has become international, one of the main tasks of regional governments is to increase the level of environmental and man-made safety in the region, which means, above all, the need toprevent emergencies and reduce their material and social consequences.Therefore, the creation of effective environmental monitoring systems should provide the solution of two problems – the creation of effective systems of information and intellectual support for decision-making and modelingof the environmental situation based on monitoring data.
Categorical Analysis Of Logical Networks For Radar Recognition Systems
Authors: Shubin I. Yu. , Chetverykov G.G. , Snisar S.M. , Litvin S.G.
Published: July 2024

The purpose of the research is to create universal methods for designing intelligent recognition systems for low-visibleradar targets, to develop a general model of logical network, to adapt it to the needs of practical application in intelligentradar systems and to improve methodology of air objects detection. Also, the aim of the research is to solve problemsrelated to the relationship between the theory of categories and predicates algebra, mathematical kit of the artificialintelligence technology. The categorical model of logical networks is considered as an object of research. Mathematicalmodels of formalization and presentation of information, as well as predicate and modified categories are chosen by themethod. The formalization of the studied models by the declarative language created in the course of research is carriedout, allows to investigate models by means of the general universal model of a logical network.
Development Of Agent Platform Architecture For Intelligent Analysis Of Business Processes
Authors: Maneva R I.
Published: July 2024

The success of a company in the market depends on many factors: the range of services offered, market saturation,marketing policy. An intelligent analysis of processes is to identify, analyze the efficiency, and optimize the businessprocesses of the enterprise. In the field of information technology, and in particular, in various areas of artificial intelligence, the use of multi-agent systems is of particular interest. In the context of the use of multi-agent systems for thedesign of intelligent systems for various purposes, the development and study of a model and software implementationof a prototype of an agent platform are relevant. The purpose of this work is to develop and research an agent platformthat can be implemented in the work of a company interested in modeling and monitoring business processes in realtime. The work is devoted to the analysis of existing approaches to the design of multi-agent software systems and thedevelopment of software components of the agent platform using the Kotlin programming language. A prototype ofan agent-based platform has been developed based on the use of formal methods for designing multithreaded systems.According to the test results, the developed prototype has advantages over the existing solutions in terms of processorload and memory usage. It is concluded that the number of agents is the main parameter affecting the reliability andefficiency of the developed agent platform
Analysis Of Tensor Processors Application In Machine Learning Tasks On The Example Of GOOGLE TPU
Authors: Kravets N.S. , Khovrat A.V. , Saichyshyna N.S.
Published: July 2024

A detailed analysis of the tensor processor by Google was carried out, its mathematical basis, structural components,and key work stages for use in solving problems related to machine learning were considered. Methods for speeding upthe neural network training process without loss of quality implemented in TPU are considered: quantization, parallelprocessing, systolic array, and the mechanism for encapsulating calculations in neural networks. The analysis of thelimitations and advantages of this type of the processor as a whole and in comparison, with the graphics and central processors. The competitive advantages of this tensor processor with analogues offered by other companies are considered.The interaction with the Google cloud platform and with the TensorFlow software library is described.
Finding operability proxy addresses using a neural network approach
Authors: Korablyov M.M. , Fomichev O.O. , Vasyuk D.V.
Published: July 2024

Proxyservers can be used to connect the user to the Internet, which provides different levels of functionality, security, and privacy,and can be configured as web filters or firewalls that protect the computer from Internet threats Under the health of proxyaddresses, we mean the ability to send requests to various resources or services and receive responses. If the request was sentand no response was received, it can be concluded that the proxy address is not working. If a response is received, it can beconcluded that the proxy address is operational. Factors that can influence, sending a request and receiving a response froma resource are considered. An analysis of the considered factors showed that it is impossible to unambiguously conclude theperformance of a proxy address if we take into account only the fact of the presence or absence of a response from the resource.The conditions for confirming or refuting the performance of a proxy address are identified, which are taken as input data ofthe model proposed for assessing the performance of a proxy address. As a model, a neural network in the form of a threelayerperceptron was used, the training of which is performed by the method of error backpropagation. The created modelwas tested to determine the health status of proxy addresses using test datasets. Based on the results of research and experiments,an application was created that searches the Internet for resources with proxy addresses and checks their performance.
Finite Element Modelling of Creep Rupture on Grade 91 Steel using Monkman-Grant Ductility based Damage Model
Authors: Alang N.A. ,   Universiti Malaysia Pahang, Alias J. , Nur Atiqah S. , Sajuri Z. ,   Universiti Malaysia Pahang,   Universiti Malaysia Pahang,   Universiti Kebangsaan Malaysia
Published: July 2024

Failure strain is a main parameter used in the ductility exhaustion based damage model in which the accuracy of the prediction is dependent on its input value. The experimental measured has indicated that the value of strain at fracture is extensively scattered, therefore may affect the prediction. This paper presents the result of creep rupture time using a modified creep damage model incorporating Monkman-Grant (MG) failure strain as an alternative to strain at fracture. Both strains at fracture and MG failure strain are separately employed in the damage model to predict the failure time of uniaxial smooth specimen and notched bar with different acuity ratios of 3.0 and 20. The FE model of the specimen is loaded under different stress values and the multiaxial failure strain at each stress level is estimated using Cock and Ashby void growth model. The predicted creep rupture time that is compared to the experimental data (in a range of 40-1000 hours) showing a good agreement within the scatter band of +/-factor of 2. Both approaches using strain at fracture and MG failure strain can be used in predicting the creep failure under uniaxial and multiaxial features. The advantage of using MG strain is that the laboratory creep testing can be interrupted prior to specimen fractured or once the secondary creep deformation occurs. Meanwhile, the determination of strain at fracture needs longer test duration where the test can bestopped only when the specimen broken.
Effect of Aging Treatment and TiO2 Nano Particles Addition on the Microstructure and Mechanical Properties of 2024 Aluminum Alloy
Authors: M. Mahan Hamid ,   Middle Technical University, Sergey Konovalov , M. Al-Nedawi Nada , H. Ali Ahmed ,   Samara National Research University,   University of Diyala,   University of Technology
Published: July 2024

In this research, aluminum alloy 2024 was enhanced with varying mass percentages (0 wt. %, 2.5 wt. %, 5 wt. %, and 7.5 wt. %) of titanium dioxide nanoparticles through the stir casting technique. Subsequently, the material underwent a solution annealing process at 500 °C for a duration of 3 hours, followed by rapid cooling in water and aging at 175 °C for another 3 hours. The primary aim of this investigation was to examine the impact of incorporating TiO2 nanoparticles on both the microstructure and the mechanical properties of the 2024 aluminum alloy composite produced through the stir casting method. Scanning electron microscopy, energy-dispersive analysis, as well as X-ray diffraction analysis were implemented to characterize the microstructure, elemental and phase composition of the samples. The tensile and Vickers hardness tests were carried out to evaluate the mechanical properties. The results showed that the addition of 7.5 wt.% TiO2 nanoparticles increases the ultimate tensile strength by 37 % and elongation by 71 % while decreases the hardness by 14 % comparing with the initial alloy. The highest hardness was demonstrated in the alloy with 5 wt. % TiO2.
Nanostructuring of Additively Manufactured 316L Stainless Steel via High-Pressure Torsion for Enhanced Strength and Corrosion Performance
Authors: Mohd Yusuf Shahir ,   UTM Kuala Lumpur, Gao Nong ,   University of Southampton
Published: July 2024

Bulk nanostructured materials (BNM) are defined as metallic materials with grain sizes <100 nm and are known to possess superior mechanical and functional properties compared to those with grain sizes in the micron and millimeter ranges. In this study, high-pressure torsion (HPT), a nanostructuring approach that imposes compressive stress and extreme torsional strain on bulk materials is applied to an additively manufactured (AM) 316L stainless steel (316L SS) for 10 revolutions. The grain sizes, hardness, and corrosion performance before and after HPT are evaluated by using extensive microscopy techniques, Vickers hardness (HV) measurements, and electrochemical tests conducted in 3.5 wt.% NaCl solution, respectively. The results show that after 10 HPT revolutions, nano-sized grains (average: ~42 nm) are obtained, whereas a three-fold increase in HV values from ~220 HV to ~600 HV are observed. Furthermore, the corrosion performance is also significantly enhanced as indicated by the reduction in corrosion ratefrom 2.53 μm/year initially, to 0.48 μm/year after HPT processing. These results highlight the benefits of HPT in producing bulk nanostructured materials with remarkably high hardness and excellent corrosion performance, potentially useful for a myriad of applications.
Влияние температуры нагрева под закалку на структуру, фазовый состав, физические и механические свойства высокопрочного сплава титана мартенситного класса
Authors: Илларионов А. Г. , Демаков С. Л. , Илларионова С. М. , Кичеров Д. А. , Попов А. А.
Published: July 2024

Методами световой микроскопии, рентгеноструктурного фазового анализа, микроиндентирования, термодинамических расчетов в ThermoCalc изучено изменение структуры, фазового состава, химического состава фаз, микротвердости по Виккерсу, контактного модуля упругости в высокопрочном титановом α + β-сплаве мартенситного класса VST2 при закалке от температур нагрева в диапазоне 700 – 1000 °C. Показана хорошая сходимость экспериментальных данных и термодинамических расчетов. Установлена взаимосвязь характера изменения микротвердости и контактного модуля упругости в сплаве VST2, закаленном от 700 – 1000 °C, с эволюцией структуры и фазового состава при закалке.
Кристаллографические особенности фазовых превращений в высокопрочной низкоуглеродистой трубной стали
Authors: Лобанов М. Л. , Сацкий Д. Д. , Урцев Н. В. , Зорина М. А. , Ярков В. Ю.
Published: July 2024

Исследована трубная сталь 06Г2МБ после горячей прокатки и последующей термической обработки — аустенитизации при 980 °C, 30 мин и охлаждения с разными скоростями. Методами ориентационной микроскопии и кристаллографического анализа с использованием различных ориентационных соотношений показана возможность установления структурных и текстурных характеристик деформированного аустенита в стали по продуктам превращения (мартенсита, бейнита). Показано, что кристаллографическая текстура, возникающая в результате многовариантного γ → α-превращения в стали 06Г2МБ, может быть объяснена зарождением α-фазы на кристаллографически упорядоченных границах между деформированными зернами γ-фазы.
Особенности структуры и разрушения сплава Inconel 718, изготовленного методом электронно-лучевого сплавления
Authors: Жиляков А. Ю. , Пырин Д. В. , Попкова Д. С. , Жилякова М. А. , Беликов С. В. , Попова Е. Н.
Published: July 2024

Исследован жаропрочный сплав Inconel 718, изготовленный по различным режимам электронно-лучевого сплавления. Проанализированы фазовый состав и особенности микроструктуры сплава в исходном состоянии и после упрочняющей термической обработки. Изучены изломы образцов сплава после испытаний на одноосное растяжение. Установлено, что разрушение материала происходит по вязкому механизму. Однако в изломах присутствует значительное количество дефектов в виде непроплавленных участков и пористости, что характерно для изделий, полученных аддитивными технологиями из порошковых материалов. Показано, что разрушение сплава провоцируется наличием в структуре непроплавленных участков и интерметаллидных частиц δ-фазы.
Кинетика старения и изменение механических свойств при пережоге литейного магниевого сплава системы Mg – Y – Nd – Gd – Zn – Zr
Authors: Леонов Александр Андреевич , Трофимов Николай Вадимович , Дуюнова Виктория Александровна
Published: July 2024

Исследованы механические свойства и микроструктура сплава Mg – 3,5Gd – 2,4Nd – 0,8Y – 1,0Zn – 0,7Zr (%, масс.), подвергнутого пережогу при закалке и последующему старению при 200, 250 и 300 °C в течение 1 – 100 ч. Проведены испытания на растяжение, определена микротвердость сплава. Показано, что в пережженном состоянии частицы фазы Mg3(Zn, РЗЭ) располагаются по границам зерен, вызывая значительное разупрочнение материала и снижение механических свойств. При этом сплав, подвергнутый старению при 300 °C, имеет стабильные прочностные свойства независимо от времени выдержки. Относительное удлинение имеет тенденцию к повышению с увеличением длительности старения. После старения при 200 и 250 °C сплав имеет наиболее высокие прочностные свойства, но близкие к нулю значения относительного удлинения.
Visualizations on Smart Watches while Running: It Actually Helps!
Authors: Kashanj Sarina , Wang Xiyao , Perin Charles
Published: July 2024

Millions of runners rely on smart watches that display running-related metrics such as pace, heart rate and distance for training and racing—mostly with text and numbers. Although research tells us that visualizations are a good alternative to text on smart watches, we know little about how visualizations can help in realistic running scenarios. We conducted a study in which 20 runners completed running-related tasks on an outdoor track using both text and visualizations. Our results show that runners are 1.5 to 8 times faster in completing those tasks with visualizations than with text, prefer visualizations to text, and would use such visualizations while running — if available on their smart watch.