bluuebunny/crossref_metadata_2025 huggingface dataset:
Weather variable selection for whitefly population prediction modeling by using backward elimination regression
Authors: Hemant Kumar  , Anup Chandra  , Man Mohan Deo  , Kaushik Bhagawati
Published: July 2024

The present investigation discusses the selection process of the most influencing weather variables for developing a prediction model for whitefly, Bemisia tabaci (Gennadius), based on the backward elimination method. This method aids in the selection of a model with fewer variables by eliminating those that are less pertinent, thereby enhancing precision and mitigating model complexity. In the pursuit of achieving a balance between simplicity and model fit, the conventional 5% level of significance (p-value ≤ 0.05) was utilized along with six weather variables viz., maximum temperature, minimum temperature, evaporation rate, sunshine hours, rainfall, and evening relative humidity. Through an iterative elimination process, it was determined that only three variables-minimum temperature, sunshine hours, and evening relative humidity-significantly contributed to the prediction model. Subsequently, these three variables were retained for predicting whitefly population counts, while the remaining less relevant variables were discarded. The model was found to be around 74 percent accurate in predicting the dynamics of whitefly.
มาตรการตามกฎหมายเกี่ยวกับกลไกการตรวจสอบพยานหลักฐานตามประมวลกฎหมายวิธีพิจารณาความอาญา
Authors: ฤทธิ์ศรี วราพงษ์ , โชคเหมาะ ภูมิ , อยู่สถาพร สุธี
Published: July 2024

ภูมิหลังและวัตถุประสงค์: การสร้างแนวปฏิบัติและมาตรฐานที่ชัดเจนในการรับพยานหลักฐานและการดำเนินการตรวจสอบ มาตรการทางกฎหมายเพื่อให้การดำเนินการทางกฎหมายเป็นไปอย่างยุติธรรมและยุติธรรม มาตรการเหล่านี้ปกป้องสิทธิของทั้งฝ่ายโจทก์และผู้ถูกกล่าวหา ส่งเสริมความรับผิดชอบและความโปร่งใสภายในระบบยุติธรรมทางอาญาการวิจัยนี้มีวัตถุประสงค์คือ 1) เพื่อศึกษาแนวคิดและหลักเกณฑ์ที่เกี่ยวข้องกับกลไกการตรวจสอบพยานหลักฐาน และความจริงในคดีอาญา 2) เพื่อศึกษามาตรการของกฎหมายเกี่ยวกับกลไกการตรวจสอบพยานหลักฐานและความจริงในคดีอาญาตามกฎหมายไทยและกฎหมายต่างประเทศ 3) เพื่อศึกษาวิเคราะห์ปัญหาเกี่ยวกับกลไกการตรวจสอบพยานหลักฐานและความจริงในคดีอาญา 4) เพื่อเสนอแนะมาตรการทางกฎหมายที่เหมาะสมเพื่อใช้เป็นแนวทางการตรวจสอบ พยานหลักฐานและความจริงในคดีอาญา
ระเบียบวิธีการวิจัย: การศึกษาเรื่องนี้เป็นการวิจัยเชิงคุณภาพโดยวิธีการศึกษาแบบวิจัยเชิงเอกสาร โดยศึกษาจากเอกสารชั้นปฐมภูมิ บทความทางวิชาการ วิทยานิพนธ์ที่เกี่ยวข้องและเป็นประโยชน์ต่อการวิจัย มาวิเคราะห์เป็นความเรียงเชิงพรรณนา
ผลการวิจัย: (1) แนวคิดและหลักการได้แก่ คุ้มครองสิทธิเสรีภาพภาพโดยรัฐ แนวคิดในการคุ้มครองศักดิ์ศรีความเป็นมนุษย์ แนวคิดกระบวนการยุติธรรมทางอาญา แนวคิดการฟ้องคดีอาญา โครงสร้างความรับผิดทางอาญา ขั้นตอนการดำเนินคดีอาญาและการไต่สวนมูลฟ้อง (2) ปัญหาที่ค้นพบคือ ความเป็นอิสระของหน่วยงานในการสอบสวน รวบรวมพยานหลักฐาน และการค้นหาความจริงในคดีอาญาซึ่งมักถูกแทรกแซงโดยผู้บังคับบัญชาหรือสายการบังคับบัญชา (3) ให้พนักงานอัยการลงพื้นที่เกิดเหตุเพื่อตรวจสอบความจริงและพยานหลักฐานในที่เกิดเหตุสำหรับคดีอาญาที่มีข้อเท็จจริงสลับซับซ้อนหรือเป็นคดีที่สำคัญ และ (4) ให้มีการแก้ไขเพิ่มเติมในส่วนของการบริหารหน่วยงานสอบสวนและในส่วนของประมวลกฎหมายวิธีพิจารณาความอาญา และแก้ไขเพิ่มเติมมาตรา 226 แห่งประมวลกฎหมายวิธีพิจารณาความอาญา โดยให้ศาลชอบที่จะหยิบยกพยานหลักฐานตามที่ปรากฏจริงและเป็นสาระสำคัญแห่งคดีตามความจริงที่อาจเป็นคุณหรือเป็นโทษแก่คู่ความได้
สรุปผล: ผลการวิจัยได้ชี้ให้เห็นความสำคัญของกรอบกฎหมายในการปกป้องสิทธิ การรักษาความยุติธรรมตามกระบวนการ และการจัดการกับประเด็นต่างๆ เช่น การแทรกแซงในการสืบสวน นอกจากนี้ยังเน้นย้ำถึงความจำเป็นในการพัฒนาและปรับปรุงประมวลกฎหมายอย่างต่อเนื่องเพื่อปรับปรุงประสิทธิภาพและความสมบูรณ์ของการดำเนินคดีอาญา โดยให้ความสำคัญกับการแสวงหาความยุติธรรมและความจริง ในขณะเดียวกันก็ปกป้องสิทธิของทุกฝ่าย
MEDIA CHALLENGES IN THE DIGITAL TRANSFORMATION PROCESS
Authors:   Faculty of Journalism and Mass Communication, Милкова Анета
Published: July 2024

The digital transformation in the media began in the 1990s with the targeted policy of the European Union institutions to introduce terrestrial digital television broadcasting in the EU Member States. In 2006, a Europe-an Terrestrial Digital Broadcasting Plan was established, the so-called Terrestrial Digital Broadcasting Plan. “Geneva Plan 2006”. The introduction of terrestrial digital television broadcasting was supposed to ensure more efficient use of the frequency spectrum, the possibility of better quality of the programmes distributed, the offering of new services to consumers, etc. This historic transition in the development of television, from ana-logue terrestrial broadcasting to digital terrestrial broadcasting, has been paralleled by much criticism and doubt about its effectiveness. In 2013, on the verge of digitizing TV broadcasts in Bulgaria, the multiplex facilities achieved the highest percentage of coverage by population in the EU countries (95% at that time, and by 2024 96.2%), along with the fact that experts faced a serious problem – the lack of media content to be distributed through multiplexes. Today, in 2024, media experts are engaging their attention with the digital transformation of media in general, and again the technical and technological environment in which media content is created and distributed is at the forefront. But more and more clearly on the horizon is the problem with media content and this time it is not the lack of content, but the risks to freedom of speech in it.
THE PERSONALIZED NEWS: JOURNALISM AND INDIVIDUAL PREFERENCES (THE CONSUMERS PERSPECTIVE)
Authors:   University of Veliko Tarnovo ", Павлова Илиана ,   St. Cyril and St. Methodius"
Published: July 2024

The article examines the personalized consumption of news in Bulgaria through the prism of consumer attitudes and preferences for information, presenting and analyzing the results of a nationally representative survey conducted in 2023. The data confirm the leading role of television as the preferred media among the older generations in Bulgaria, while younger people prefer to be informed by social networks and online media, which they trust the most. The results also outline some divisions in the consumer preferences: between Bulgarians living in the capital and big cities, who prefer online media and social networks, and those who live in the small towns and villages and prefer mainly television. People with higher education prefer to be informed by online media and social networks, while the highest percentage of people with primary or lower education prefer television or do not use media at all to inform themselves.
Kebijakan Penegakan Hukum Pidana dalam Penanggulangan Perjudian Online Ditinjau dari Undang–Undang Republik Indonesia No.19 Tahun 2016 tentang Informasi dan Transaksi Elektronik
Authors: Luntungan Benjamin Lemta , Sahid Muhammad
Published: July 2024

This journal is titled Criminal Law Enforcement Policies in Combating Online Gambling Reviewed from the Republic of Indonesia Law Number 19 of 2016 concerning Information and Electronic Transactions. The rapid technological advancements today provide a great opportunity for criminals to commit crimes. Online gambling offenses have now entered the Internet world, known as online gambling. To reduce the level of criminality in online gambling, it is necessary to understand the law enforcement policies in combating online gambling offenses and the obstacles law enforcement face in addressing these crimes. This journal uses a descriptive normative legal research method, which aims to describe rather than test hypotheses. There are two approaches to combating online gambling: preventive measures involve providing warnings and monitoring the online world using the Internet, while the second approach, repressive measures, involve capturing, processing, taking to court, and imposing criminal sanctions in accordance with Article 45 paragraph (2) of the ITE Law, Article 303, and Article 303 bis of the Criminal Code. Based on the research findings, the author suggests: 1. The need to enhance law enforcement capabilities by upgrading IT-based technological knowledge. 2. Law enforcement officials are encouraged to be more proactive in combating online gambling offenses. In the case of online gambling, authorities can potentially block online gambling sites on a large scale, which would help minimize existing issues.
Más que un Corte de Pelo: Creando Clientes Leales en las Barberías a través del Precio y la Empatía. Un Estudio del Sureste Mexicano
Authors: Zapata Sánchez José Luis , Pérez Hervert María de Jesús , Esparza Aguilar José Luis
Published: July 2024

El estudio revela la influencia de la percepción del precio y la empatía en la satisfacción y lealtad del cliente. El objetivo fue determinar el impacto de la percepción del precio y la empatía en la satisfacción y lealtad del cliente en barberías del sureste mexicano. Mediante el uso de encuestas aplicadas a clientes aleatorios y análisis estadístico (SEM-PLS), se encontró que todas las variables influyen en la satisfacción y la lealtad. El precio tiene un impacto menor en la satisfacción, ya que los clientes lo consideran menos relevante cuando están satisfechos con el servicio. Se observa una relación positiva significativa entre la satisfacción y la lealtad, lo que indica que una mayor satisfacción conduce a una mayor lealtad.
Machine Learning Applications in Offense Type and Incidence Prediction
Authors: R. Balaji , Koti Manjula Sanjay , Kaur Harprith
Published: July 2024

In today's rapidly evolving world, detrimental behaviourhas undeniably emerged as a significant factor leading to the downfall of individuals and communities. The rising prevalence of such behaviourcreates substantial disruptions within a country's population, affecting social stability and economic progress. To mitigate the impact of these harmful actions, it is crucial to identify and address them promptly and effectively. This study evaluates specific patterns of detrimental behaviour using data from Kaggleto predict and analyzeprevalent negative behaviours. Recent incidents of theft, for example, have underscored the importance of understanding the most common types of misconduct, as well as their timing and locations. We can develop targeted strategies to prevent and respond to such incidents by analyzing these patterns. Artificial Intelligence (AI) techniques encompass variouscomputational methods and algorithms designed to enable machines to perform tasks that typically require human intelligence. These techniques are used in various applications, fromnatural language processing to image recognition, and offer powerful tools for behavioral analysis. This project employs advanced AI techniques, such as Naive Bayes, to model and identify patterns in detrimental behavior. Naive Bayes, a probabilistic classifier based on Bayes' theorem, is particularly effective in handling large datasets and making accurate predictions. By applying this algorithm, the study achieves a high level of precision in predicting various types of detrimental behavior, enabling a better understanding of their underlying patterns. This knowledge can inform the development of more effective prevention and intervention strategies, ultimately contributing to the reduction of harmful behaviors and the enhancement of community well-being.
The DPSIR (Driver, Pressure, State, Impact, Response) approach in analyzing the case of waste emergencies in Bandung City
Authors: Rochman Syaiful , Ramdani Jaka , Tampubolon Lydia Irianti
Published: July 2024

Background: As the center of development and education in West Java, the city of Bandung has faced a waste problem that continues to increase along with increasing population growth. Indeed, there were two tragedies. In 2005 the Leuwigajah landfill exploded and in 2023 the Sarimukti landfill was burned. These tragedies became the climax of the Waste Emergency in the city of Bandung. Methods: By using the DPSIR framework and the literature research, this study aimed to gain a better understanding of the urban waste problem faced by each region, especially the city of Bandung. Finding: It was found that the government's Response only addresses Pressure and State, while Driving Force and Impact have not yet been addressed. Conclusion: From these results, it is recommended to raise awareness among residents of the city of Bandung through real appeals and persuasions, and to require manufacturers to be responsible for the distribution of their products. Novelty/Originality of this Study: The application of the DPSIR framework to analyze and address waste management emergencies in Bandung, Indonesia. While this method has been applied in various contexts, it has not been specifically tailored to the unique challenges of this region. This approach underscores the importance of addressing both immediate waste management issues and underlying consumer behaviors. It provides a comprehensive strategy that involves the engagement of the government, private sector, and community.
The Effect of Economic Status and Mother’s Knowledge in Stunting Cases: A Systematic Review
Authors: Loihala Maria , . Indar , Syam Aminuddin , Syafar Muhammad , Abdullah M. Tahir , Muis Masyita , Unde Andi A. , Howay Naomi N.
Published: July 2024

Background: A reduction in the incidence of stunting has been reported globally over the past few decades. However, stunting remains a big problem for developing countries. The purpose of this research was to review in-depth The Role of Social Economy, Knowledge, behaviour, and stunting in Stunting Cases.Narrative studies with scientific journal database sources published in PubMed, Proquest, Science Direct, and Google Scholar were used. The keywords used in the search were Social economy, Knowledge, behaviour, and stunting. The search included research published within the last five years, that is, 2018-2022. A total of 144 articles were found according to the search titles, and 11 articles were selected for review. After the article was obtained, it was tabulated in an Excel table.The findings show that the family economy will support children's nutritional intake and needs so that children are not underweight during this period of growth and development. A good family economy can support childcare patterns, and healthy home settlements so they can access clean water. The family economy plays a role in overcoming the large number of children and preventing early marriages. Parents' knowledge will influence the mother's attitude in caring for and caring for children from birth to adolescence. This knowledge is closely related to the practice of exclusive breastfeeding, traditional food nutrition, the management of food hygiene, the diversity of children's diets, the nutritional value of food including the fulfilment of certain nutrients both micro and macro and education about stunting.Economic status has a very important impact on stunting prevention because it will affect other aspects related to stunting. Not only that, all the research that has been reviewed shows that the educational level of parents will affect attitudes about how to care for their children.
Motivations for Employee Creativity: The Mixed Moderating Role of Prosocial Motivation
Authors: Phuong Nguyen Ho Quy , Giang Pham Xuan , Khanh Vo Huu , Chan Tran Hoa Phuc , Thuc Nguyen Ngoc , Minh Ngo Ngoc
Published: July 2024

This study investigates the indirect relationship between job autonomy and creativity through creative self-efficacy and intrinsic motivation, and is based on the motivational theory of creativity. It suggests that intrinsic motivation and creative self-efficacy positively influence creativity. Additionally, prosocial motivation’s mixed moderating role is tested in this study. The results demonstrate that job autonomy directly promotes intrinsic motivation and creative self-efficacy and indirectly influences employee creativity through intrinsic motivation and creative self-efficacy, based on survey data from 323 employees in the information technology industry. In decreasing order, creative self-efficacy, intrinsic motivation, and prosocial motivation-the three main motivations-all have a favorable impact on creativity. Furthermore, the impact of creative self-efficacy on creativity is reinforced by prosocial drive. Prosocial drive, however, has no moderating effect on the connection between intrinsic motivation and employee creativity.
Pengaruh Terapi Bermain Menggambar Terhadap Kecemasan Hospitalisasi Pada Anak Usia Sekolah (6-12 Tahun)
Authors: Luckita Sari Anggi , Santi Prita Onita , Istiqomah Nurul , Purwaningsih Heni
Published: July 2024

Perawatan anak di rumah sakit merupakan pengalaman yang penuh dengan stress, baik bagi anak maupun orang tua. Hospitalisasi akan menciptakan serangkaian kejadian traumatis dan kecemasan dalam ketidakpastian orang tua. Kecemasan adalah perasaan khawatir atau tidak nyaman yang seakan-akan terjadi sesuatu yang dirasakan sebagai ancaman, dan merupakan pengalaman sehari-hari yang dialami individu. Terapi bermain menggambar merupakan salah satu alternatif yang dapat digunakan guna meningkatkan stimulasi dan mengurangi kecemasan akibat hospitalisasi selama rawat inap. Penelitian ini bertujuan untuk mengetahui pengaruh terapi bermain menggambar terhadap kecemasan hospitalisasi pada anak usia sekolah (6-12 tahun) di bangsal anak rawat inap RS PKU Muhammadiyah Sukoharjo. Jenis penelitian ini yaitu penelitian kuantitatif dengan menggunakan desain One Group Pra-Post Test Design. Teknik pengambilan sampel menggunakan purposive sampling dengan jumlah sampel 30 responden. Alat pengumpulan data menggunakan lembar kuesioner dan data di analisis mempergunakan Uji Wilcoxon. Hasil Uji Wilcoxon didapatkan nilai p-value = 0,000 < 0,05 artinya ada pengaruh terapi bermain terhadap penurunan kecemasan anak yang dirawat di bangsal anak RS PKU Muhammadiyah Sukoharjo. Pemberian terapi bermain memiliki perubahan yang signifikan terhadap penurunan kecemasan anak setelah diberikannya terapi bermain.
Penggunaan Gadget Dengan Perilaku Prakonsepsi Pada Wanita Usia Subur
Authors: Faridah Umi , Hidayah Noor , Wibowo Irman Ahmad , Elsera Chori
Published: July 2024

Perawatan kesehatan prakonsepsi merupakan perawatan yang mengacu pada intervensi biomedis, perilaku, dan preventif sosial yang dapat meningkatkan kemungkinan memiliki bayi yang sehat. Prakonsepsi memiliki peran penting dalam mencegah dampak buruk kesehatan jangka pendek dan jangka panjang bagi perempuan dan keturunan mereka. Outcome kesehatan reproduksi akan diperoleh dengan memfokuskan dan meningkatkan kesehatan prakonsepsi. hal ini juga berpotensi mengurangi kasus wanita dan bayi yang meninggal, dan lebih banyak lagi yang menderita kecacatan jangka panjang, yang disebabkan oleh kehamilan dan persalinan. Oleh karena itu, perawatan prakonsepsi penting atau diperlukan untuk lebih mengurangi kematian ibu, bayi baru lahir, dan anak. Angka Kematian Ibu (AKI) dan Angka Kematian Bayi (AKB) merupakan indikator utama derajat kesehatan masyarakat. Pendekatan waktu pengumpulan data penelitian ini menggunakan penelitian survei dengan rancangan pendekatan cross sectional. Terdapat hubungan antara penggunaan gadget terhadap perilaku prakonsepsi di MTs NU Nurul Huda Kudus dengan menggunakan. didapatkan nilai OR = 6,167 dan P value sebesar 0,05.
Development and Evaluation of a Novel Fish-Derived Protein Peptide Conditioner Formulated with Pneumatophorus japonicus Heads Peptides
Authors: Zhang Haijing , Liu Runhui , Wang Xichang , Hong Miaosi , Xu Changhua
Published: July 2024

Given the unique advantage of hair conditioners formulated with marine-derived proteins and their hydrolysates in terms of green, effective, sustainable, and environmentally friendly. This study presents a novel fish-derived protein peptide-based hair conditioner that featuring Pneumatophorus japonicus heads peptides (PHP). Results demonstrate that the PHP conditioner exhibits favorable sensory properties, improves the surface morphology and structure of damaged hair, reduce the degree of fragmentation and roughness, improve the gloss and make hair smoother. PHP penetrates into the hair shaft, interacting with hair fiber keratin to enhance the integrity and stability of the α-conformation of hair keratin. Furthermore, the PHP conditioner treatment increased total amino acid content by 4.98% and hydrophobic amino acid content by 2.67%, approaching the levels observed in virgin hair. Therefore, the PHP conditioner effectively permeates the surface and interior of hair fibers, filling voids and ameliorating changes in both the microstructural and compositional aspects of the hair. These improvements surpass those observed with a commercially available wheat protein conditioner. Overall, the PHP conditioner effectively repairs damaged hair, offering a new strategy for the development of innovative natural hair care products.
An algorithm for quantifying cardiorespiratory synchronization to assess the functional state and intersystems interactions in athletes
Authors: Kovaleva Anastasia , Anisimov Viktor
Published: July 2024

Introduction. The rhythm of the heart (heart rate, HR) is closely related to the rhythm of breathing. The phenomenon of respiratory sinus arrhythmia (an increase in heart rate during inhalation and a decrease during exhalation) is well known. Cardiorespiratory interactions and synchronization of these two signals are evaluated differently in the literature. The purpose of this work was to propose and test an approach to assess cardiorespiratory synchronization – the calculation of the cross-correlation coefficient between heart rate and respiration curve, for a more objective characterization of an athlete’s bodily states.
Methods. A photoplethysmogram and respiration were recorded in 45 healthy athletes (18-25 years old) in three situations: rest, paced breathing at 6 times per minute (resonant frequency) and the performance of a sensorimotor task (tapping with the rhythmic metronome sounds and then reproducing a given rhythm from memory). For the HR and respiration curves, filtering and smoothing algorithms using the Savitsky-Goley method were applied sequentially, and then the cross-correlation coefficient between the two curves was calculated. The spectral parameters of heart rate variability (LF and HF) were also obtained, since during spontaneous breathing its contribution to the HR is reflected in HF band, and when breathing at a resonant frequency, a peak occurs at a frequency of 0.1 Hz in the LF band.
Results. The cross-correlation coefficient, as well as the peak of HR spectral power at 0.1 Hz, increases significantly when breathing at a resonant frequency. The relationship between these indicators is most accurately described not by a linear, but by a logarithmic dependence. When performing a sensorimotor task, the so-called respiratory waves in the heart rhythm spectrum (HF) do not change from rest to tapping by a metronome and then to holding the rhythm by memory. At the same time, the cross-correlation coefficient demonstrates significant changes between these situations. In addition, a significant correlation was found between the change in the cross-correlation coefficient and the stability of rhythm maintenance (from memory): an increase in the cardiorespiratory synchronization leads to a decrease in motor rhythm stability.
Conclusion. Assessment of cardiorespiratory synchronization due to the peculiarities of both signals (changes in heart rate and respiratory phases) requires preliminary preparation of data arrays: filtering and smoothing the stepped curve of heart rate dynamics. The calculation of the cross-correlation coefficient can be used to assess cardiorespiratory synchronization in real time and is likely to be applicable in short time fragments to assess emotional reactions and other short-term fluctuations in psychophysiological conditions, where the classical method of assessing changes in heart rhythm in the frequency or time domains is not applicable.
Aesthetic Tradition and Cultural Temperament
Authors: Xu Zelin
Published: July 2024

British and American literature is one of the bright gems in the history of world literature, which has formed a unique literature after many times of historical evolution and integration of national culture. This paper makes an in-depth study of the historical development of Britain and the United States, starting from the three dimensions of "aesthetic tradition", "cultural temperament" and "translation of British and American literature", and discussing from two aspects of literary criticism and aesthetic perception. It is helpful to understand the unique cultural connotation and temperament of British and American culture, so as to better understand the cultural connotation of British and American classics and improve the translation quality of British and America literary works.
ADVERSARY CULTURES: THE CASE OF “RELATIONAL AESTHETICS” AND PARTICIPATORY PRACTICES
Authors: COJOCARU-THANASIADIS Doina Domenica ,   Bucharest National University of Arts
Published: July 2024

By applying Bourdieu’s theory of capital on the relational art and participatory practices, the following essay aims to explore the issue of autonomy of arts as introduced by Theodor Adorno while determining the social mechanism under which these practices operate. The purpose of this particular research represents an attempt to achieve an understanding of the relations of power under which relational art practices operate by applying Bourdieu’s theory of capital while at the same time examining the idea of “autonomy of arts” as it was introduced by Theodor Adorno in the late 90’s. As the research is conducted by an artist, it will inevitably be influenced by the empirical as well as the theoretical references applied to the artistic field. However, it is clear that from a disciplinary angle, relational art is directly engaging with society hence it does not only imply terms related to aesthetics, history and theory of arts. The research borrows notions from human sciences such as political philosophy, sociology and anthropology. It is also important to note that one of the main objectives of this research represents a nuanced and sincere clarification of the position from which relational art operates as well as an analytical exercise of the practices as well as its mechanism of infiltration and interaction in the world. Given the neo liberal capitalist structure, can arts gain at least relative autonomy? As I find myself working in the field of socially engaged art, I find it very important as a practitioner to be able to step outside my own field and acquire the role of the observer while analysing as objectively as possible my own position. The research applies the qualitative method as it examines a particular case study while it imports concepts from different fields. The first part of the article indicates the potential of the relational arts in acquiring a relative autonomy, while the second part contests its intentions and set of positions in realising its promise by applying Bourdieu’s theory of capital. The scope of the research is far from comprehensive as several theories that intersect with the field, as well as projects, are not being analysed while a lot of Bourdieu’s writings are left outside. Still, the essay recognises the influence of authors like Claire Bishop, Roland Barthes, Walter Benjamin, Guy Debord, Theodor Adorno, Hannah Arendt, Giorgio Agamben, Terry Smith, Michel Foucault, Jean Baudrillard as well as other historians and art theoreticians.
¿Más allá o más acá de la ética y el Derecho? La responsabilidad levinasiana según Claude Romano.
Authors: Roggero Jorge
Published: July 2024

Este artículo se propone indagar en la lectura de la responsabilidad levinasiana propuesta por Claude Romano. Considero que es posible completar su riguroso análisis si se advierte cierto solapamiento entre la dimensión ontológico-fenomenológica y la dimensión práctica en la constitución de la subjetividad.
Estudio sobre la influencia de las redes sociales en el consumo de productos nutricionales en jóvenes con edades entre 20-27 años
Authors: Salas Suárez Laura , Carfantan Guerrero Dharma , Sánchez Chavarría Allan , Hernández Ana Paula
Published: July 2024

Este proyecto de investigación analiza la influencia de las redes sociales, específicamente Instagram y TikTok, en el consumo de productos nutricionales entre jóvenes costarricenses de 20 a 27 años. El estudio profundiza en cómo las imágenes y mensajes sobre alimentos en estas plataformas influyen en las decisiones alimenticias y en la percepción de los productos nutricionales. Además, el proyecto destaca el papel de los influencers en la promoción de la alimentación saludable. Ahora bien, se emplea un enfoque mixto, combinando métodos cuantitativos y cualitativos, un diseño concurrente de triangulación (DITRIAC) y un alcance descriptivo para obtener una comprensión integral del fenómeno. En este marco, se aplicaron 139 encuestas y 4 entrevistas. Los resultados obtenidos proporcionaron información valiosa para empresas y profesionales de la salud que buscan promover prácticas alimenticias más saludables. A partir de estos, se logró entender datos cuantitativos como las marcas nutricionales más reconocidas por influencia de Instagram y TikTok, su porcentaje de influencia, el tipo de contenido más influyente, las razones de consumo, entre otros. También se obtuvieron resultados cualitativos a través de categorías analíticas, subcategorías y códigos para cada objetivo. Estas brindaron hallazgos como las estrategias de marketing más influyentes en el consumo de productos nutricionales, los tipos de influencers más efectivos y el comportamiento de consumo en torno a los productos adquiridos. Así pues, este estudio conduce a conclusiones y recomendaciones sobre el impacto de las redes sociales y la necesidad de un enfoque consciente y responsable del consumo, apoyado en la asesoría de expertos.
大型语言模型对学术型研究生学术规范和论文写作的影响及挑战——以ChatGPT为例
Authors: 彭甲超  , 田嘉莉  , 杨娟  , 程超
Published: July 2024

作为当前流行的大型语言模型代表，ChatGPT迅速赋能各行各业。在高等教育领域内，ChatGPT能够对学生学习和教师教学产生一定的正向溢出效应，尤其是对于刚踏入学术领域的学术型研究生，ChatGPT对他们的学术规范和论文写作有积极影响。然而，也需要注意，ChatGPT本质上是基于互联网语料库的综合训练结果，可能涉及知识产权、学术诚信等风险，这些风险可能会影响研究生对学术规范的遵循以及论文写作的质量。因此，未来需要特别关注如何正确引导研究生使用ChatGPT，以支持其学术规范和论文写作，同时避免潜在的学术伦理风险。
How University of Warwick successfully united its development and alumni engagement functions
Authors: Crowley Andrea , Lloyd Natalie , Lindley Ruth
Published: July 2024

In 2018, the University of Warwick embarked on a project to build an integrated development and alumni engagement team by merging what were then entirely separate development and alumni engagement functions. This paper reviews that merger, outlining how Warwick arrived at a shared vision and strategy while overcoming practical management challenges and the concerns of staff members. It will share learnings from two specific strategies that were deployed to assist with the integration process: agreeing upon and socialising a team behaviours framework and setting department-wide objectives and key results. These techniques allowed Warwick to create a culture of empowerment and ownership within the newly integrated team, encouraging everyone to participate in new stretch ambitions. This case study will provide suggestions for other advancement professionals undergoing restructures and building teams aligned to a common goal. For those not undergoing a restructure, it will share ideas for increased collaboration within an existing or newly aligned team, with guidelines on how to bring diverse groups of people together under one new strategy or vision.
Empty Nest Syndrome: Loneliness and Social Support among Middle-aged Parents
Authors: Royena Patricia Mae
Published: July 2024

This study explored the dynamics of empty nest syndrome and its relationships with middle-aged parents' feelings of loneliness and the need for social support. As the Philippines was known for having this kind of family values, this study explored the different psychological impacts on Filipino parents when their child or children moved out of their nest. This study also aimed to provide a more thorough knowledge of how individuals navigated this transition, which could ultimately direct the creation of solutions to support middle-aged parents in thriving as they got used to the "empty nest" stage. This study utilized the explanatory-sequential mixed method design. Middle-aged parents (40-64 years old) living in specific municipalities of Laguna were the respondents/participants of the study. The sampling method used was convenience and purposeful homogenous sampling, and G*Power was used to compute the suggested sample size. 74 respondents were gathered for the quantitative phase, and 5 participants for the qualitative phase. Two adopted tests were used for quantitative data gathering, and a researcher-made interview guide was used for the qualitative phase. Statistical tools used were frequency distribution, percentage, weighted mean, and Spearman's Rank Correlation Coefficient or Spearman rho. Thematic analysis was also used in the qualitative aspect of the study. Results showed that middle-aged parents experiencing empty nest syndrome had a low level of loneliness (mean score 1.96) and received high social support (mean score 5.76). A significant negative correlation (r = -0.680, p < 0.001) existed between social support and loneliness, indicating that increased social support reduced loneliness. The lived experiences of these parents revealed themes such as sadness, coping strategies like social media and spiritual interventions, emotional support from friends, adaptation to social changes, maintaining relationships, and adjusting to new parental roles.
THE USE OF ONLINE EDUCATIONAL PLATFORMS IN TEACHING
Authors: Zulpukarova D. I. , Abdukaimova A. Zh. , Alieva K. U.
Published: July 2024

The article provides an overview of online platforms used in education and discusses methods of their use in teaching. Online platforms have become widely used in the learning process in modern education. The authors provided detailed information on the organization of joint activities of students, students, and teachers using online platforms used in teaching, implementing feedback, creating a digital educational environment, creating their own website, organizing online lessons, and working in survey and testing services. Here are some examples of the use of online technologies in teaching, and the degree of their usefulness for teachers and students is confirmed by examples.
METHODOLOGICAL RECOMMENDATIONS FOR SOLVING MOTION PROBLEMS WHILE TEACHING A MATHEMATICS COURSE
Authors: Kyshtoobaeva Ch. A.
Published: July 2024

At present, in accordance with the program of basic general education, a special place in mathematics teaching is occupied by the development of students' independence in solving motion problems. There is no doubt that the mathematical problem of motion enables the student to formulate mathematical concepts correctly, to clarify various aspects of his environment, and to apply theoretical concepts. Solving full-scale problems defined by the program contributes to knowledge building for students. In setting motion problems, students are exposed to facts of cognitive, educational significance. Motion problems-one of the most common types of algebra problems. Simple motion problems are taught in elementary school. In grades 6-7, the solution of motion problems is reduced to a linear equation or a system of linear equations. Here we will consider motion problems related to the rational fraction equation.
Articolare i costrutti pedagogici dell'educatore Māori: un caso di studio co-costruito
Authors: Greyling Willfred , Waitai Kiri
Published: July 2024

We agreed, as a non-Māori manager and a Māori educator, to use personal construct theory (PCT) methods to articulate and reflect on the second author’s (SA’s) pedagogical meaning-making which she had intentionally aligned with a tikanga Māori approach to teaching a mixed group of non-Māori and Māori learners on a new – and by all accounts successful - foundation-level programme, Te Tuapapa Hauora (translated: firm foundation in health). We elicited SA’s pedagogical constructs, using four role titles she was positively disposed to, and four she viewed as opposites. We included SA’s choice of 10 constructs in a repertory grid. Her ratings allowed us to generate grid-based probes for reflecting on her pedagogy. We analysed post-grid interview data, identifying several key themes in her meaning-making which were consistent with key factors perceived as enabling Māori learners’ success (Chauvel & Rean, 2012). We arrived at a dual outcome: a co-constructed account of SA’s tikanga Māori pedagogy and an exemplar of how educators could use repertory grid analysis for reflective purposes
Distance Energy-Efficient Soft Computing Model for Data Forwarding in Healthcare Sensor Network
Authors:   Associate Professor & HoD, Dept of ECE, Pallavi Engineering College, Kuntloor, Hayathnagar, Hyderabad, Telangana, 501 505, India., T Sravanthi , K Ram Mohan Rao ,   Associate Professor, Dept of ECE, Sri Indu College of Engineering and Technology, Sheriguda, Hyderabad, Telangana, 501 510, India., D Sandhya Rani ,   Associate Professor, Dept of ECE, Sri Indu College of Engineering and Technology, Sheriguda, Hyderabad, Telangana, 501 510, India
Published: July 2024

Data forwarding is a crucial process in computer networking and telecommunications. It involves the transmission of data packets from a source to a destination within a network. The forwarding process is fundamental for enabling communication between devices on different segments of a network and plays a vital role in maintaining the overall performance and reliability of the network infrastructure. This paper presents the development and evaluation of the Threshold Congestion Data Forwarding Soft Computing (TCDF-SC) algorithm, designed for healthcare sensor networks. The algorithm combines threshold-based congestion management with soft computing techniques to enhance data forwarding efficiency in dynamic healthcare environments. Through extensive simulations, TCDF-SC demonstrates scalability, achieving high total packets forwarded and maintaining a reliable packet delivery ratio as the network scales. The algorithm minimizes average transmission delay and optimizes energy consumption, ensuring timely and energy-efficient data transmission. Comparative analysis against existing protocols, LEACH and BCP, highlights TCDF-SC’s superior performance across key metrics, positioning it as a promising solution for healthcare sensor networks. This research contributes to the advancement of data transmission optimization in healthcare, addressing critical requirements of reliability, energy efficiency, and adaptability in dynamic healthcare settings. Further validation and real-world experimentation will enhance the algorithm’s applicability in diverse healthcare scenarios, fostering advancements in patient monitoring and healthcare applications.
Central Medical Centre Healthcare Data Security with Lightweight Blockchain Model in IoT Sensor Environment
Authors:   Associate Professor, Department of CSM, CMR College of Engineering & Technology, Hyderabad, Telangana, India., T Bhaskar , M.N Narsaiah ,   Associate Professor, Department of ECE, KG Reddy College of Engineering & Technology, Hyderabad, Telangana, India., M Ravikanth ,   Associate Professor, Department of CSE, Malla Reddy University, Hyderabad, Telangana, India.
Published: July 2024

Data security involves implementing measures to protect digital information from unauthorized access, disclosure, alteration, or destruction, ensuring the confidentiality, integrity, and availability of sensitive data. Hence, this paper addresses the critical imperative of ensuring robust data security within the healthcare domain. With the proliferation of digital technologies and interconnected systems, safeguarding patient information has become paramount. The study comprehensively reviews existing strategies for data security in healthcare, including encryption, access controls, and secure authentication mechanisms. It delves into the unique challenges faced by healthcare organizations, such as the interoperability of systems, compliance with regulatory frameworks and the increasing sophistication of cyber threats. The paper emphasizes the significance of fostering a culture of cybersecurity awareness among healthcare professionals and implementing proactive measures to mitigate vulnerabilities. Future directions in healthcare data security, including the integration of emerging technologies like blockchain and artificial intelligence, are also explored. By providing a holistic overview of data security challenges and solutions in healthcare, this paper contributes to the ongoing efforts to fortify the confidentiality, integrity, and availability of sensitive patient data in the digital age. The effectiveness of two medical treatments (Treatment A and Treatment B) is assessed based on the responses of 20 participants, revealing subtle yet notable variations in efficacy. Additionally, the security scores of Healthcare Systems A and B are evaluated, demonstrating a marginal superiority of System B. A detailed classification of cyber attacks, ranging from phishing and malware infections to insider threats and zero-day exploits, sheds light on the diverse nature of cybersecurity challenges. The findings underscore the importance of a multifaceted approach to medical data security, emphasizing the need for robust treatments, secure healthcare systems, and targeted defense strategies against evolving cyber threats. This paper contributes valuable insights to the ongoing discourse on bolstering cybersecurity measures in healthcare to safeguard patient information and fortify the integrity of healthcare systems in an increasingly digital landscape.
Enhanced Detection of Social Bots on Online Platforms using SemiSupervised K-Means Clustering
Authors:   Assistant professor, Department of CSE, Vaagdevi Engineering College, Bollikunta, Warangal, Telangana,506005, India., Gangula Rekha , Rega Sravani ,   Assistant professor, Department of CSE(DS), Vaagdevi Engineering College, Bollikunta, Warangal, Telangana,506005, India.
Published: July 2024

Social bots are semi-automatic or automatic computer applications that express human performance in OSN. Social bots are the primary tools utilized by hackers to invade OSNs. The current use of Social bots in communication and voting operations has been highlighted. Twitter and Tumblr have been efficiently used to share information about public sentiment. The developing connection on the Internet has started up avenues for improved cybersecurity threats and perpetuation of an extensive array of cybercrimes occurring in significant financial needs and user data privacy violations. One of the most advanced but critical extensions to the public of malicious software is the bot malware, commonly referred to as botnets. The most current presentation techniques of malicious social bots examine the quantitative characteristics of their behavior. This paper proposed a novel approach to identifying malicious social bots, including feature determination based on the development probability of clickstream progressions and the Semi-supervised K-Means Clustering algorithm for detecting social bots. The proposed method explains the transition probability of user behavior clickstreams and reflects the time feature. The proposed Semi-supervised K-Means Clustering (SSKMC) algorithm, compared with the traditional detection method based on the quantitative function, improves accuracy by 15% on average. The proposed SSKMC Algorithm can efficiently detect malicious accounts on social bots.
Research on SQL Injection Attacks using Word Embedding Techniques and Machine Learning
Authors:   Associate Professor, Department of Computer Science and Engineering, KITSW (Affiliated to Kakatiya University), Warangal, Telangana506015, India., S Venkatramulu , Md Sharfuddin Waseem ,   Assistant Professor, Department of Computer Science and Engineering, KITSW (Affiliated to Kakatiya University), Warangal, Telangana506015, India., Taneem Arshiya ,   Students, Department of Computer Science and Engineering, KITSW (Affiliated to Kakatiya University), Warangal, India -506015, Thoutam Sri Yashaswini ,   Students, Department of Computer Science and Engineering, KITSW (Affiliated to Kakatiya University), Warangal, India -506015, Apuri Snigdha ,   Students, Department of Computer Science and Engineering, KITSW (Affiliated to Kakatiya University), Warangal, India -506015
Published: July 2024

Most of the damage done by web application attacks comes from SQL injection attacks, in which the attacker(s) can change, remove, and read data from the database servers. All three tenets of security— confidentiality, integrity, and availability—are vulnerable to a SQL injection attack. Database management systems receive their queries in the form of SQL (structured query language). It is not a new field of study, but it is still important to detect and prevent SQL injection attacks. A method of SQL injection detection based on machine learning is proposed. Feature extraction, followed by implementing various word embedding techniques like count vectorizer, TFIDF vectorizer to process the text data which can effectively represent the SQLI features is performed. Classification algorithms like Logistic Regression, SVM and Ensemble techniques like XGBoost is employed. Our goal in doing this systematic review is to find a better machine learning model to detect SQL injection attacks via implementing different word embedding techniques. The accuracy and F1-score of machine learning algorithms in terms of predicting the SQLI query has been calculated and reported in this research paper.
CS and ZnO Nanoparticles as Fungicides against Potato Fungal Pathogens Alternaria solani and Fusarium solani. Mechanism Underlining Their Antifungal Activity
Authors: Benkova Dayana , Dishliyska Vladislava , Staleva Jeny , Kostadinova Aneliya , Staneva Galya , El-sayed Khaled , Elshoky Hisham , Krumova Ekaterina
Published: July 2024

Fusarium solani (F. solani) and Alternaria solani (A. solani) are among the most destructive pathogenic fungi affecting potatoes, causing significant crop losses in both field and post-harvest conditions. Current control relies heavily on synthetic fungicides which pose serious environmental and health risks. Therefore, there is a growing need to find efficient and environmentally friendly alternatives to combat fungal infections in potatoes. This study offers chitosan (CS) and zinc oxide (ZnO) nanoparticles (NPs) as potential fungicides against A. solani and F. solani. We evaluated their antifungal properties and elucidated the mechanism underlining their activity. Our results revealed that both CS and ZnO NPs exhibited pronounced antifungal activity against the two pathogenic strains by effectively inhibiting the mycelium growth. Furthermore, we discovered that the activity of the NPs involved the induction of oxidative stress in fungal cells and changes in the molecular organization of their membranes.