bluuebunny/crossref_metadata_2025 huggingface dataset:
Design and Additive Manufacturing of a Prototype Using Fused Deposition Modeling Technique
Authors: Prakash Kode Jaya , Yeole Shivraj Narayan
Published: May 2024

A screw jack is a tool for lifting heavy loads with little effort. In this paper, the design, model and fabrication of a Screw jack using 3D Printing Technology is discussed. Digital fabrication, or 3D printing or additive manufacturing, creates physical objects from a geometrical representation by successive addition of materials. In agriculture, health care, motor vehicles, locomotives and aviation, 3D Printing is increasingly being applied for mass customization or production for all types of open-source design. Design is an important industrial activity which influences the quality of the product. The parts of a screw jack are modelled by using the modelling software Creo Parametric. The CAD model of the screw jack is then converted into. STL (Standard Tessellation Language) format in which the 3D Printer receives the printing input. The STL files are then imported to modelling software to analyze mesh and rectify errors. The rectified STL files of parts of the screw jack are imported to Makerbot software, and parts are made ready for 3D Printing using Makerbot FDM (Fused Deposition Modelling) 3D Printer. The parts printed in an FDM 3D printer are assembled based on the tolerances obtained, and the final prototype is fabricated.
World Literature and the Rise of Sub-nationalisms in Indian Vernaculars: British Romantic Poets in Gujarati Translation
Authors: Galariya Sabbir A.
Published: May 2024

This paper focuses on how world literature played a crucial role in shaping a sub-national Gujarati identity. Narsinhrao Divatia (1859-1937) – the well-known Gujarati poet, critic and linguist presented partial or complete translations of British Romantic poets like Wordsworth, Keats, Shelley and Byron from the fourth part of F.T. Palgrave’s Golden Treasury (1861) in his seminal poetry anthology Kusummala (1887). This translation played a significant role in redefining Gujarati poetics and Gujarati identity. It also elevated the cultural status of Gujarati literature by introducing Sanskrit poetics in the Gujarati translations. However, in the Gujarati literary tradition, Divatia’s translations of the British Romantic poets are treated as ‘nakal’ (copy) and derivative of Western poetry. This paper argues that the Gujarati translations of the British Romantic poets in Kusummala (1887) cannot be dismissed as cheap copies, but have to be read as refractions, a kind of rewriting elaborated by André Lefevre. Kusummala is an example of an interliterary text where Gujarati translations of the British Romantic poets are mediated with the help of Sanskrit poetics. This paper also argues that the sub-national Gujarati identity goes beyond the dichotomy of Vishwa and Rashtra, as proposed by Vinay Dharwadker.
Reykjavik Summit: a new impetus from the Council of Europe in promoting the Social Rights Agenda in Europe
Authors: Benítez Rafael
Published: May 2024

Social rights are an integral part of the Council of Europe’s shared joint vision. They are indispensable for all citizens to live in dignity and have a self-determined lifestyle. Guaranteeing them is an essential condition for democracy. The European Social Charter, known as the Social Constitution of Europe, plays a central role in the European human rights architecture. No other legal instrument at the pan-European level offers such broad and comprehensive protection of social rights. In May 2023, the Reykjavik Declaration insisted on Member States' commitment to this treaty. Consequently, this upcoming July 3 and 4, 2024, the High-Level Conference on the European Social Charter will take place in Vilnius, under the Lithuanian presidency of the Committee of Ministers. Its significance lies in the fact that the States will take up new challenges, including consolidating its standards, simplifying its systematization and contributing to its effective implementation. In short, it will reaffirm the need for social human rights to be key to the construction of the European legal framework.
The Power of Qualitative Research: Cultivating Autoethnography for Personal Awakening, Humanity, and Transformation
Authors: Nguyen-Trung Kien
Published: May 2024

This article is an autoethnography of how engaging with my previous autoethnographic article facilitated my recovery and self-growth. I wrote my previous piece (Nguyen-Trung, 2022) while stranded in Australia due to the COVID-19 pandemic, which prevented me from visiting my grandfather one last time before his passing in 2021. If my past autoethnography focused on the themes of death, grief, and loss, the current article’s autoethnography revolves around awakening, healing, and self-transformation. In this current article, I reflexively look back on my autoethnographic journey and reflect on how it impacted me as a grandchild and a human being on the one hand, and a qualitative sociologist and a writer on the other. I tell stories of how, since writing my first autoethnography and sharing it with others, whether at an academic conference, a meeting, a social encounter, or via a social media post, I managed to overcome the darkest time of my life and gradually heal my personal crisis and somehow transform myself. There were three key lessons learned from such a journey: the emergence of self-awareness, the significance of empathy and humanity within research communities, and the therapeutic and transformative potential of writing.
Dynamics of Interaction Between Law and Socio-Culture In The Context of A Multicultural Society
Authors: Pasya Ashsyafa Zaen , Sari Wulan , Amalya Rahayu Putri , Dikrurahman Diky , Yusup Permana Deni
Published: May 2024

In a multicultural society, the interaction between law and socio-cultural factors has a significant impact on people's daily lives. Various social and cultural norms, values and practices often collide with applicable legal principles, causing complex dynamics in law enforcement and the implementation of justice. This research aims to analyze the dynamics of interaction between law and socio-cultural factors in a multicultural society. This study used qualitative research methods. The data collection technique in this research is literature study. The data that has been collected is then analyzed in three stages, namely data reduction, data presentation and drawing conclusions. The research results show that the interaction between law and social culture is complex and dynamic. Law can influence social culture and vice versa. Law can influence social culture by encouraging social change and preserving culture. Meanwhile, social culture can influence law by forming norms and values and influencing law enforcement.
FIGURATIVE LANGUAGE IN BRIDGERTON SERIES SEASON 2 SELECTED EPISODES
Authors: Kezyana Natalia , Ndruru Nelfis , Hutabarat Ismarini
Published: May 2024

Tujuan dari penelitian ini adalah untuk menjelaskan bahasa kiasan yang memiliki makna dalam Bridgerton Series Season 2 Episode Pilihan. Metode penelitian kualitatif digunakan dalam penelitian ini. Identifikasi dilakukan dengan meninjau dialog yang telah ditranskrip dan memeriksa bahasa kiasan dalam setiap dialog. Hasil dari penelitian ini terdapat delapan jenis bahasa kiasan, yaitu 21 ujaran (40,38%) untuk eufemisme, 9 ujaran (17,31%) untuk ironi, 7 ujaran (13,46%) untuk ironi, 7 ujaran (13,46%) untuk ironi, 7 ujaran (13,46%) untuk idiom, dan 7 ujaran (13,46%) untuk idiom. 46%) untuk idiom, 6 ujaran (11,54%) untuk hiperbola, 3 ujaran (5,77%) untuk litotes, 3 ujaran (5,77%) untuk metafora, 2 ujaran (3,85%) untuk simile, dan 1 ujaran (1,92%) untuk personifikasi. Berdasarkan penelitian tersebut, dapat disimpulkan bahwa jenis bahasa kiasan yang paling dominan adalah eufemisme, yaitu sebanyak 21 ujaran (40,38%).
Penanaman Karakter Mandiri pada Anak Usia 4-5 Tahun di RA Ar-Rahmah Tenggulunan Candi Sidoarjo
Authors: Yunarin Antik , Destiana Evie
Published: May 2024

Penelitian ini menganalisis perkembangan karakter mandiri pada anak usia 4-5 tahun yang menghadiri RA AR-RAHMAH Tenggulunan, Candi Sidoarjo. Dengan menerapkan metodologi penelitian kualitatif dengan pendekatan studi kasus, peneliti menggunakan observasi dan wawancara untuk mengumpulkan data. Penelitian ini menghasilkan hasil yang positif, dengan implementasi pendidikan karakter mandiri ditemukan memainkan peran penting, terutama sebagai pilar kedua dalam pengembangan karakter. Selain itu, studi ini mengidentifikasi berbagai faktor yang baik mendukung maupun menghambat dalam proses pembentukan karakter mandiri pada anak-anak. Melalui pemeriksaan menyeluruh terhadap faktor-faktor tersebut, penelitian ini berkontribusi pada pemahaman yang lebih dalam tentang dinamika yang terlibat dalam menanamkan kemandirian pada pembelajar muda.
Deep Learning Based Lipreading for Video Captioning
Authors:   SCOPE, Vellore Institute of Technology Chennai, Tamil Nadu, India, Kala Sankalp , Ranganathan Prof. Sridhar ,   Associate Professor, SCOPE, Vellore Institute of Technology Chennai, Tamil Nadu, India
Published: May 2024

Visual speech recognition, often referred to as lipreading, has garnered significant attention in recent years due to its potential applications in various fields such as human-computer interaction, accessibility technology, and biometric security systems. This paper explores the challenges and advancements in the field of lipreading, which involves deciphering speech from visual cues, primarily movements of the lips, tongue, and teeth. Despite being an essential aspect of human communication, lipreading presents inherent difficulties, especially in noisy environments or when contextual information is limited. The McGurk effect, where conflicting audio and visual cues lead to perceptual illusions, highlights the complexity of lipreading. Human lipreading performance varies widely, with hearing-impaired individuals achieving relatively low accuracy rates. Automating lipreading using machine learning techniques has emerged as a promising solution, with potential applications ranging from silent dictation in public spaces to biometric authentication systems. Visual speech recognition methods can be broadly categorized into those that focus on mimicking words and those that model visemes, visually distinguishable phonemes. While word-based approaches are suitable for isolated word recognition, viseme-based techniques are better suited for continuous speech recognition tasks. This study proposes a novel deep learning architecture for lipreading, leveraging Conv3D layers for spatiotemporal feature extraction and bidirectional LSTM layers for sequence modelling. The proposed model demonstrates significant improvements in lipreading accuracy, outperforming traditional methods on benchmark datasets. The practical implications of automated lipreading extend beyond accessibility technology to include biometric identity verification, security surveillance, and enhanced communication aids for individuals with hearing impairments. This paper provides insights into the advancements, challenges, and future directions of visual speech recognition research, paving the way for innovative applications in diverse domains.
EXISTENCE AND CONTINUOUS DEPENDENCE RESULTS FOR VOLTERRA-FREDHOLM INCLUSION
Authors:   Thi-QarDirectoratesofEducation,DepartmentofMathematics,MinistryofEducation, Iraq., M.Atshan Shakir , A.Hamoud Ahmed ,   DepartmentofMathematics,TaizUniversity,TaizP.O.Box6803,Yemen.
Published: May 2024

The solvability of a state-dependent integro-differential inclusion is the main focus of this research. A state-dependent Volterra-Fredholm integro-differential inclusion (V-FIDI) with a nonlocal condition is explored, along with the existence and uniqueness of its solutions. We first prove the existence and uniqueness properties of the solution under certain assumptions about the given data. Lastly, a sample that highlights the primary finding is provided.
Effects of High-intensity Training and Electrical Stimulation on Pain, Disability, Knee Kinematic and Performance in Patellofemoral Pain: A Randomized Controlled Trial
Authors: Mohammadi Nia Samakosh Hadi , Oliveira Rafael , Shahabi Shahriar , Sarvarifar Behrooz , Moddares Gorji Sahar , Amirkhanloo Amirreza , Badicu Georgian , Hilal Yagin Fatma , F. Alghannam Abdullah
Published: May 2024

Patellofemoral pain (PFP) is a widespread problem in athletes who participate in jumping, cutting, and pivoting sports. Forty-four players participated in this study. They were divided into two groups: exercise plus EMS (G1) and exercise without EMS (G2), both with 12 women and 10 men. The exercise performed was 8 weeks of a high-intensity strength program for 45-60 minutes, plus cooling and a warm-up phase. Visual analogue scale (VAS), disability (Kujala patellofemoral score), knee valgus angle (KVA) and single-leg hop (SLH) were tested before (pre-test) and after training (post-test at 8 weeks) using a within-between group analysis (ANOVA 2×2). At baseline, no differences between groups were found (p > 0.05). After the intervention, both groups improved VAS, KVA, SLH (p < 0.001), and disability (p = 0.042). G1 showed more improvements than G2 for VAS (- 63.4 vs - 51.5 %, p = 0.021, 𝜂p2 = 0.13), disability (+ 32.6 vs + 18.4 %, p = 0.001, 𝜂p2 = 0.52), KVA (+ 4.2 vs + 2.2 %, p = 0.016, 𝜂p2 = 0.214) and SLH (+ 12.3 vs + 6.0 %, p = 0.003, 𝜂p2 = 0.20) respectively. No differences were found between the sexes for each group. Despite both interventions being valid, high-intensity strength training combined with EMS improved pain, disability, knee kinematics, and lower extremity performance more than exercise alone in professional handball athletes with PFP.
Keywords: Electrical muscle stimulation, Rehabilitation, Musculoskeletal, Knee, Handball players
An analysis of Indonesian student-level boxing athletes: What Effect Does Competition Anxiety Have on Self-Efficacy?
Authors: Saniah Saniah , Sukamti Endang Rini , Chaeroni Ahmad , Prayoga Hegen Dadang , Prabowo Trisnar Adi , Suganda Mikkey Anggara , Suryadi Didi , Abdullah Nagoor Meera Bin , Gogoi Hemantajit , Poralan Porferia S , Maulana Ahmad , Habibie Muhammad , Amalia Bonita , Kasanrawali Andi , Abdhi Muhammad Irwansyah
Published: May 2024

This study aims to analyze the effect of self-efficacy on competition anxiety in boxing athletes at the student level. The sample consists of boxing athletes in the Special Region of Yogyakarta Province and South Kalimantan Province, with 130 athletes (95 male, 35 female) who will compete at the Regional Student Sports Week in 2024. The characteristics of the boxers were aged 15-18, had 3.1±0.7 years of training experience, have a minimum 8.7±4.2 and maximum 10.3±2.2 hours of training in a week. Self-efficacy instrument used Endurance Sport Self-Efficacy Scale (ESSES) questionnaire, and competition anxiety used Competitive State Anxiety Inventory-2 Revised (CSAI-2R) questionnaire. This study showed a significant negative effect between self-efficacy and anxiety to compete in boxing athletes (t -7.870 and p<0.05) and R2, which is 38.1%. It can be concluded that the direction of negative correlation means that if the self-efficacy of athletes is high, the anxiety of athletes before the match is low. Athletes are expected to always believe in their ability to perform at their best when competing. Future research needs to investigate how psychological interventions can influence the interpretation of the direction of anxiety symptoms among boxing athletes.
Keywords: Self-efficacy, competition anxiety, boxing
Physical activity in students and its association with attention. A systematic review
Authors: Alvarado Melo Jaime Eduardo , Leon-Ariza Henry Humberto , Ladino Marin Erika Viviana
Published: May 2024

Despite the recommendations for physical activity in children and adolescents, sedentary behaviors that may affect health are frequent in today's schools. Evidence suggests that physical activity has a beneficial effect on the development of attention, however, there is no clarity on the characteristics that physical activity should have to optimize the improvement of attention in schoolchildren. A search for articles in databases published between 2013 and 2023 was performed, and after applying the inclusion and exclusion criteria and after analyzing their results, thirty-three articles were identified. The results suggest that the practice of physical activity has a positive effect on attention, mainly selective attention, but it is not possible to establish the characteristics in relation to frequency, time, intensity, or type of exercise that yield the best results, probably due to the heterogeneity of the interventions and populations studied. More experimental studies are therefore required to help identify the characteristics of physical activity that best contribute to the development of attention as a cognitive indicator.
Keywords: Attention, physical activity, school children, sedentary behaviors, cognitive indicators.
Development and validation of a questionnaire in Hindi language to assess Parental Knowledge, Attitude and Practices regarding Calcium and Vitamin D deficiency in children
Authors: Chand Suresh , Singh Shivendra Kumar , Tripathi Shalini , Afaque Syed Faisal , Pandit Pratyaksha , Singh Ajai
Published: May 2024

Background: Despite being in temperate zone, India is endemic to nutritional rickets. However, very little has been studied on knowledge, perception and cultural practices of Indian communities, towards calcium and vitamin-D deficiency in children. Aim & Objective: The study aimed to develop and validate a questionnaire in Hindi language for the assessment of knowledge, attitude, and practices of parents towards calcium and vitamin D deficiency among children. Methodology: We searched electronic databases for item generation. The questionnaire was developed in Hindi language by five experts in the field of pediatrics, pediatric orthopaedics and community medicine using Delphi method. After language correction from Hindi language experts, a convenient sample of 30 participants filled the questionnaire and tested for internal consistency and test-retest reliability. Results: The overall Cronbach’s alpha value for the finalized 46-item scale indicated an acceptable reliability (alpha = 0.91). The internal consistency reliability for six domains created was acceptable. The results revealed ‘high’ test-retest reliability, and there was no statistically significant difference noted between any of the first test and re-test corresponding values (p>0.05). Conclusion: The present questionnaire developed in Hindi Language to assess knowledge, attitude and practices (KAP) of parents towards Calcium & Vitamin-D deficiency in children, has a good validity and reliability. This newly developed instrument could prove its use to highlight the gaps that may exist among parents. The use of this tool may help clinicians, health educators and policy makers to identify key areas of intervention with regards to Calcium & Vitamin-D deficiency in children.
Prevalence of Diabetic Peripheral Neuropathy among Type 2 Diabetes Mellitus patients and its associated risk factors
Authors: Soni Kanchan , Srivastava Dhiraj Kumar , Kumar Sandip , Bajpai Prashant Kumar , Shukla Sushil Kumar , Prakash Saurabh
Published: May 2024

Background: Diabetic peripheral neuropathy (DPN) is a common and one of the severe complications of diabetes mellitus. It affects almost half the diabetic population and worsens quality of life of the patient. The present study was aimed to determine the prevalence of peripheral neuropathy and associated risk factors. Aims and Objectives: To assess the Prevalence of Diabetic Peripheral Neuropathy (DPN) among Type 2 DM patients and its associated risk factors. Material and Methods: A community based survey was conducted over a period of one and a half year. Cluster sampling technique was used to collect the study sample in urban Etawah. Study participants aged ? 30 years residing in urban Etawah with known history of Type 2 Diabetes Mellitus of ? 5 years were included in the study. Diabetic Peripheral Neuropathy (DPN) was diagnosed using 10 g monofilament test. Results: A total of 400 DM patients were enrolled in the study. Out of which 28% (n = 112) patients were diagnosed with DPN using Semmes-Weinstein (SW) 10-g monofilament test. Statistically significant association was also noted with Family history of DM, BMI, Systolic and Diastolic blood pressure, Family history of HTN and History of Smoking. Conclusion: The current study found a high prevalence of DPN (28%) and it was found to be significantly associated with advancing age, duration of diabetes and history of smoking.
Health seeking behaviour among the farm house residents in Vijayapura district, Karnataka. A Cross sectional study
Authors: Yankanchi Sandeep , Udgiri Rekha
Published: May 2024

Background: Health seeking behaviour as defined by Kasl and Cobb is any activity undertaken by individuals who perceive themselves to have a health problem or to be ill for the purpose of finding an appropriate remedy. More often than not, a country has a mixture of both public and private health care systems to ensure an equitable distribution of quality health care. Objectives: To identify the health seeking behavior and distance travelled to access the health care among the farm house residents. Material & Methods: A cross sectional study was conducted among the farm house residents in rural areas of Vijayapura district. A Sample of 450 farm house residents were interviewed by prestructured proferma containing information regarding socio demographic profile, health seeking behaviour and distance travelled to access the health care among the farm house residents. PSUs were selected with probability proportional to size sampling and 5 households in a selected PSU were selected by random sampling. All characteristics were summarized descriptively, Chi-square (?2) test was employed to determine the significance of differences. Results: Majority of the participants took treatment from government hospital followed by private practitioner when they are sick and majority of participants travelled between 1-5KM. (61.3%) and for the past illness it was (33.2%). Conclusion: The present study concludes that availability of government health facility constitute about (93.8%) compared to private (6.2%).
Educational Introspections of Medical Students Post Disability Competencies Training: A Qualitative Study
Authors: Lonimath Ashwini , Kannan Suthanthira , M Vinaya , R Deepthi , A Shivakumar
Published: May 2024

Background: Despite the substantial presence of persons with disabilities (PWD) in the population, they face many barriers in healthcare. Competency-Based Medical Education (CBME) is increasingly used to address these gaps. Aims and Objective: This study assesses the impact of disability competencies training on medical students' attitudes towards PWD. It aims to explore new perspectives, identify attitudinal shifts, evaluate training effectiveness, and promote solution-oriented learning. Materials and Methods: Five Focus Group Discussions (FGD) with 8 participants each, a series of themes related to the understanding of disability and empathy were explored. The participants, who had undergone training in disability competencies. The FGDs were facilitated by trained moderators and analysed employing thematic analysis and generating tree maps. Results: Key themes evolved from the students' new perspectives towards PWD, which included Inclusion and Responsibility, Empathy and Understanding, Managing patients with disabilities, Equity and rights, and Acceptance. Themes also emerged regarding the impact of training, revealing an Attitudinal Shift, Engagement and Interaction, Personal Impact, and Solution-Oriented Learning. Conclusion: Disability competency training significantly transforms medical students' attitudes, fostering a more inclusive, empathetic approach in healthcare. This shift is crucial for integrating disability competencies into medical education, especially in developing countries
Using data mining methods for risk assessment and intervention planning in diabetic patients-An exploratory study
Authors: Ramanathan Vanisree , Mhamane Sharyu , Pawar Jayesh , PK Nisha , Kumar Ujjwal , Tripathi Shailesh , Pradhan Keerti B , Bhattacharya Sudip
Published: May 2024

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Physical Distancing is Better than Social Distancing”: A Breakdown of the Shift in Society’s Psychology and Behaviour
Authors: Khandal Urvashi , Raghuvanshi Lakhan , Gaur Rajshri , Verma Amit
Published: May 2024

This study focuses on social and physical distancing narratives during the outbreak of Covid-19 in India. Researchers have attempted to explore the trajectory of discursive practices that define social and physical distancing and its impact on human psychology. Further, the study looks at the communication strategies that have been mediated to create a mediatized reality focused on keeping a safe distance from one another to prevent the spread of the virus that caused self-isolation, compelled quarantine, and worry over health issues like psychological distress, Depression, and mental anxiety. Researchers have incorporated mediation, analyzing the narratives around societal and cultural practices that are integral to societal behavioral patterns. Implementing physical distancing in India happened because many communities understood social distancing along caste lines. Major highlights of the study are that despite the efforts made by the Government, media, and other institutions, discriminatory practices existed.
Tracing footprints for a greener tomorrow; A cross-sectional study to assess the carbon footprint of the urban households of Vijayapura city
Authors: T Kavimalar , Gudadinni Muttapa R , Pattankar Tanuja P , Yadavannavar Mallikarjun C , Doddihal Chandrika
Published: May 2024

Background: The concept of carbon footprint is rooted in measuring the volume of greenhouse gases, predominantly carbon dioxide (CO2), resulting from human activities. India has witnessed a significant surge in greenhouse gas emissions due to rapid economic growth and population expansion, making it the world's third-largest CO2 emitter. This upsurge intensifies the natural greenhouse effect, leading to global temperature rise, ocean acidification, and heightened risks to human health. Objectives: To assess the Carbon Footprint generated by urban households of Vijayapura. Material and methods: This study employs a cross-sectional approach targeting urban households residing within the operational area of the urban health center in BLDE(DU), Vijayapura City. The sample, comprising 150 households, was selected via systematic random sampling. Data was collected through household visits and interviews with the family heads using a semi-structured questionnaire. and analyzed utilizing SPSS Software Version 26. Results: The analysis of carbon emissions highlights that primary emissions surpass secondary emissions. Notably, households categorized under the upper socioeconomic class exhibit a statistically significant carbon emission rate of approximately 39.47 tonnes per month. Conclusion: This study's assessment of the carbon footprint emanating from urban households illuminates the pivotal connection between day-to-day choices and the broader ecological context.
Household Size and Household Wealth in Indonesia with the Influence of Spatial Aspects
Authors:   Universitas Negeri Malang, Soseco Thomas
Published: May 2024

Investigating household wealth should also include spatial analysis to capture the influence of location on the households’ net wealth and to avoid underestimation of the effect of the change of variables due to estimation that ignores spatial aspects. This paper examines factors influencing household net wealth in Indonesia with the influence of spatial lag using data from the Indonesian Family Life Survey (IFLS) for 1993–2014. The article relies on the Spatial Durbin Model (SDM) to analyze the data. Results show that household net wealth in Indonesia is spatially related to each other, and the spillover effect makes the change of household net wealth in Indonesia dominated by the change of variables in neighbouring regions. Furthermore, considering the time component, there is a positive effect of households’ size on households’ net wealth due to the time component concerning the spatial lag of the dependent and independent variables.
The Nonlinear Impact of Payment System Innovation on Financial System Stability in the ASEAN-4 Countries
Authors:   Department of Economics, Faculty of Economics and Business, Universitas Indonesia, Ekananda Mahjus
Published: May 2024

The increasing growth of financial system encourages payment system innovation that can affect financial system stability, particularly in ASEAN countries. This study explored a variety of payment system innovation, i.e. debit cards, credit cards, electronic money, and RTGS. The financial system stability index is measured by calculating the composite indexes of non-performing loans, Z-score from ROA and CAR, share price volatility, and yield bonds. The components of the indexes are structured to reflect risks from the banking, stock, and bond markets. The resulting index value indicates the level of risk in the financial system. A higher index specifies a higher risk and a more vulnerable financial system. Furthermore, it is noted that the effects of the independent variable can change according to economic conditions. The panel threshold model was applied to calculate the effects of various regimes, namely innovation, GDP, credit ratio, and stability index. The panel data were obtained from the ASEAN-4 countries (Indonesia, Malaysia, Thailand, and the Philippines) from 2012 to 2020. The panel threshold analysis shows an increase in the value of debit card, credit card, and RTGS transactions. Specifically, innovation and GDPR negatively affect the stability index. Increasing the value of payment system innovation will decrease the risk to financial system stability in ASEAN countries. The monetary authorities of each country can implement these findings by considering the rapid development of payment system innovation and the danger it may pose to financial system stability.
A Mobile-Based System for Detecting Plant Leaf Diseases Using Deep Convolutional Neural Network
Authors: Piyush Hood  , Aditi Kawade  , Aachal Karpate  , Bhagyashri Undre  , Archana Bhade
Published: May 2024

Plant diseases pose a significant challenge to agriculture in India, causing substantial losses in crop production each year. Limited-resource farmers often struggle with diagnosing these diseases accurately, especially when relying on visual observation of leaf symptoms. Hence, there is an urgent need to enhance the detection, monitoring, and prediction of crop diseases to mitigate agricultural losses effectively. To address this challenge, we propose a mobile-based system empowered by Machine Learning (ML) and computer vision tailored for the Indian context. Our system utilizes Convolutional Neural Networks (CNNs) as the core deep learning engine to classify 37 disease categories commonly found in Indian crops. We have curated a comprehensive dataset comprising 96,206 images of plant leaves, encompassing both healthy and infected, for training, validation, and testing purposes. The user interface of our system is designed as an Android mobile application, enabling farmers to capture images of diseased plant leaves effortlessly. Upon image capture, the system swiftly identifies the disease category and presents it to the user along with a confidence percentage. This functionality empowers farmers to take timely action to protect their crops, thereby reducing reliance on incorrect fertilizers that may exacerbate plant stress. Furthermore, we evaluated the performance of our system using various metrics, including classification accuracy and processing time. Our results indicate an impressive overall classification accuracy of 94% across the 37 disease classes prevalent in 14 different crop species commonly cultivated in India. In essence, our ML-powered mobile-based solution offers Indian farmers a robust tool for efficient crop disease diagnosis and management, ultimately contributing to the enhancement of agricultural productivity and sustainability in the country.
Machine Learning Based X-RAY Prediction Model
Authors: Nirdesh Jain  , Dr. Aditya Mandloi
Published: May 2024

This study aimed to develop and evaluate a convolutional neural network (CNN) model for multi-disease classification using a large dataset of 53,000+ chest X-ray images. The CNN architecture was trained to predict the presence of 14 different diseases based on input chest X-ray images. Key findings indicate the model achieves competitive performance with high accuracy, demonstrating potential for automated disease diagnosis. Leveraging the power of deep learning, particularly CNNs, this study shows promising results in improving diagnostic processes in healthcare. Automating disease diagnosis using deep learning methods can significantly enhance the efficiency of healthcare systems, potentially reducing the burden on medical professionals and improving patient outcomes. The success of this CNN model in multi-disease classification based on chest X-ray images highlights the potential of artificial intelligence in revolutionizing diagnostic processes in healthcare, underscoring the importance and effectiveness of deep learning methods, particularly CNNs, in advancing medical diagnostics and improving patient care.
Desafios e evolução na publicação científica
Authors: Souza Marcos de
Published: May 2024

Publicar uma pesquisa é um processo multifacetado, repleto de desafios que vão desde a concepção do estudo até sua disseminação. No entanto, muitas vezes não é reconhecido o esforço da equipe editorial para manter uma revista de qualidade. Contrapondo a ciência, dentro do senso comum, é notório escutarmos em algum momento da vida acadêmica que uma Revista X, Y ou Z leva muito tempo para publicar um artigo.
É crucial destacar o extenso trabalho realizado pelo editor-chefe e pela equipe editorial de um periódico. Esse trabalho engloba uma variedade de processos, como a análise da adequação de um manuscrito ao escopo e às normas da revista e a verificação de plágio por meio de softwares específicos. Além disso, é essencial encontrar avaliadores especializados na temática submetida, que estejam disponíveis para contribuir naquele momento necessário. Vale ressaltar que esses avaliadores, muitos dos quais são professores e pesquisadores, desempenham diversas outras atividades, como ensino, pesquisa e extensão, em seus respectivos vínculos. É importante notar que, no contexto dos periódicos brasileiro, a atividade dos avaliadores é voluntária, representando uma generosa doação de seu tempo e conhecimento.
Demand in the Repo Market: Indirect Perspectives from Open Market Operations from 2006 to 2020
Authors:   Reserve Bank of Australia, Becker Chris , Francis Anny ,   Reserve Bank of Australia, de Roure Calebe ,   Reserve Bank of Australia, Wilson Brendan ,   Reserve Bank of Australia
Published: May 2024

In Australia repurchase (repo) obligations are traded bilaterally 'over-the-counter' between parties, rather than on an exchange. As a result, it is difficult to obtain quotes of executable prices, trading volumes, and related data that are representative of the market. Market conditions are therefore not easy to assess and often dependent on anecdotal evidence. Over the years, the Reserve Bank of Australia has published data and analysis of the repo market by providing indirect perspectives using data from its own open market operations that are conducted using repos. This paper contributes to this work. The Reserve Bank conducts open market operations to manage liquidity in the interbank market, provide settlement balances for the smooth functioning of the payments system, and for the implementation of monetary policy. Repos are an integral part of these operations. The eligible private sector counterparties in these auctions have a variety of reasons for participating. We arrange their bids in an ascending order in a number of distinct phases so that they can be used to make inferences about the demand for repo and hence market operations. Several insights allow us to better understand the dynamics underpinning the repo market. The findings mainly relate to the period prior to the implementation of unconventional monetary policies in March 2020.
Introducing Neuro-Linguistic Processing and Reprogramming (NLPR): The Impact of Language on Emotional Regulation with Insights from Linguistics, Neuroscience, and Physiology
Authors: Coy Mary Jane
Published: May 2024

This article introduces an emerging psychotherapeutic approach: Neurо-Linguistic Processing and Reprogramming (NLРR). The developing empirical evidence from neuroscience, linguistics, and physiоlogy sets a foundation for NLPR, which seeks to enhance cognitive and emotional processes. NLPR capitalizes on the ability of language to engage the brain’s neurobiological mechanisms involved in еmotion regulation and executive functions. NLPR also integrates insights from the Polyvagal Theory to incorporate the nature of physiological responses to linguistic stimuli. This work asserts that the NLPR approach can lead to rewiring neural circuitry and regulation of intense emotions by enhancing linguistic awareness, emotional understanding, interоception, and orientation through repetition. This paper aims to introduce the underpinnings of NLРR and lay the groundwork for how NLPR can be used as a therapeutic tool to strengthen linguistic capacity, emotional articulation, and self-perception, thus fostering emotional regulation and overall well-being. This endeavor concludes with the perspective that NLPR presents a significant advancement in psychotherapeutic practice as it makes optimal use of language to facilitate psychological transformation and personal growth.
Effect of Renewable Energy Consumption on Economic Growth in Kenya
Authors: Situma Masibayi Peter , Nelson Obange , Nyongesa Destaings Nyenyi
Published: May 2024

Despite Kenya having a massive generating capacity of renewable energy, its consumption levels remain significantly low. The low supply levels have driven the costs of production upwards leading to high energy prices thereby slowing economic activity occasioned by inadequate investments in the energy sector. However, there are conflicting results on the existing link between economic growth and renewable energy consumption in the developing world. This study purposed to establish the effect of renewable energy consumption on economic growth in Kenya. This study was anchored on the Neo-Classical Solow-Swan growth model. This study adopted the correlational research design and used time series data for the period 1980-2017 to determine the nature of the existing linkages. Capital and labour were incorporated as control variables. The granger causality results established the existence of a bidirectional and feedback relationship existing between renewable energy consumption and economic growth in Kenya. Vector Error Correction Model results showed that a unit increase in total renewable energy consumption led to a gross domestic product rise by 13,340 million dollars in the second year. Therefore, both the granger causality and Vector Error Correction Model (VECM) tests advocate for investment in the consumption of renewable energy if desired levels of economic growth are to be attained. Therefore, investment in modern energy generation and supply technologies and demonopolisation of the generation and supply of renewable energies to encourage private investments are recommended as the necessary measures to increase the level of renewable energy consumption, which in turn accelerates the rate of economic growth. Interventions such as tax exemptions on renewable energy equipment may encourage more uptake and consumption of renewable energies. This study may assist the government in the formulation of sustainable energy policies. This study may assist the government in the formulation of sound and sustainable energy policies for industrial and economic growth.
Real-time estimation of vehicle inertia parameters based on Kalman-bucy filter
Authors: Nguyen Tuan Anh
Published: May 2024

Vehicle inertial parameters such as mass and moments of inertia are required for most vehicle dynamic control systems. Due to the wide range variation of these parameters during vehicle operation, accurate estimation of their values in real-time plays an important role in improving the efficiency of vehicle control systems. In this article, the vehicle sprung mass and moments of inertia are estimated in real-time based on a Kalman-Bucy filter algorithm designed for a spatial vibration model of a two-axle truck. This proposed method requires measuring only the vertical, roll, and pitch velocity of the sprung mass and, therefore can reduce the sensor cost significantly. The simulation results for a random roughness road profile according to ISO 8608 class C with step variations in sprung mass and moments of inertia showed that the designed estimator rejected the process and measurement noises and tracked the real vehicle parameters effectively with acceptable errors
Prediction of machining performances in powder mixed electro-discharge machining to process skd61 steel by response surface methodology
Authors: Van Tao Le , Tien Long Banh , Thi Hong Minh Nguyen , Tien Dung Hoang , Van Thuc Dang , Hoang Cuong Phan
Published: May 2024

In electro-discharge machining (EDM) with mixing powder, it is called powder mixed electro-discharge machining (PMEDM), then machining performances- i.e. material removal rate(MRR) and tool wear rate (TWR) has great significance in evaluating the effectiveness and machining accuracy of the machining method. Therefore, in this study, response surface methodology (RSM) was utilized for estimating functions of process variables {comprising peak current (Ip), pulse on time (Ton), and powder concentration (Cp)} for the machining performances for processing SKD61 steel during EDM process with tungsten compound powder. Box-Behnken matrix was utilized for designing and conducting a series of empirical trials. Analysis of variance (ANOVA) was applied to evaluate the adequate of predictive models. The outcomes reveal that the predicted models of MRR and TWR have a high precision with R2 values of MRR and TWR being 99.2% and 99.11%, respectively. The error comparison of the predictive and empirical values for the confirmed experiments is less than 5%, this once again consolidates that the developed models' accuracy. These development models can efficiently prognosticate the desired machining performances of the PMEDM method for processing SKD61 steel
Applying a two-step cluster algorithm in traffic accident data analysis
Authors: Khanh Giang Le , Ho Thi Lan Huong , Van Manh Do , Quang Hoc Tran
Published: May 2024

Cluster analysis is often employed as the initial stage in organizing heterogeneous data into homogeneous groups. Choosing an effective clustering approach and an ideal number of clusters in a traffic accident dataset might be complex and challenging. This study aims to evaluate the effectiveness of k-means and two-step cluster methods. Subsequently, the two-step cluster method and GIS are applied to analyze the traffic accident datasets from 2015 to 2017 in Hanoi, Vietnam. First, according to the Silhouette score, the two-step cluster method achieved a higher score of 0.563, while the k-means method scored 0.341. A higher Silhouette score indicates more well-defined clusters. Second, the research suggests combining the two-step cluster method with GIS for analyzing traffic accident datasets. The outcome identifies five typical types of accidents in Hanoi. In addition, the locations of various accident types were visually illustrated on a map, enabling traffic officials to recommend precise and urgent countermeasures. Importantly, the clustering results reveal that the two-step cluster method exhibits a significantly higher rate of homogeneous data in the clusters compared to the k-means method. This study demonstrates that the two-step cluster method is not only more effective than the k-means method in terms of clustering ability but also in data pre-processing. The study's results enable authorities to gain a more detailed understanding of typical traffic accident patterns in Hanoi. Besides, the employed methods could potentially be applied to other regions, providing an additional avenue for analysis
Study on the applicability of free water surface wetland (fws) scale of wastewater treatment laboratory for green rest stops
Authors: Vu Kim Hanh , Vu Phuong Thao
Published: May 2024

The Free Water Surface wetland (FWS) has emerged as a promising technological solution for wastewater treatment in natural environments. The study aimed at investigating the performance of a laboratory-scale Free Water Surface wetland (FWS) unit designed to treat domestic wastewater with a daily capacity of 20 liters. This model can be applied at some rest stops towards creating "Green Rest Stops" on highways. The laboratory experiments on bronze banana plants have shown that the model operates effectively under specific settings and with the characteristics of residential wastewater from public toilets, which has undergone pretreatment through septic tanks. These conditions are conducive to promoting healthy growth in the plants. The FWS model for cultivating canna hybrid plants (Canna generalis) has a total surface area of 0.26 square meters and operates based on the principles of free wastewater flow. The model has a water retention duration of 70 hours, approximately three days. The treatment efficiency for TSS, BOD5, NH4+ - N, and Coliform is 37-53%, 73-77%, 41-46%, and 37-54%, respectively. The treated wastewater complies with the National technical regulations on water quality, QCVN 14:2008/BTNMT (B) standards
Nonlinear interfacial contact laws in multi-layer elastic-viscoelastic structural systems
Authors: Tran Nam Hung , Nguyen Thi Thu Nga
Published: May 2024

Layered structures are widely used in construction, such as pavement structures consisting of multiple layers of different materials or interfaces between bricks and mortar in masonry structures, etc. In analyzing such structures, understanding the properties of the interface between two layers of materials is essential. If one layer of material contains cracks and layers exhibit viscoelastic behavior, determining the properties of the interface becomes challenging. This study proposes a constitutive mechanical law to model the behavior of the interface between a microcracked viscoelastic medium and an undamaged elastic body based on the homogenization method. The interface is modeled by a layer of zero thickness. The coupling between the homogenization technique and the Griffith’s theory is used to provide the effective behavior of the micro-cracked medium. The interface is modelled as an effective medium (EF) characterized by normal and tangential stiffnesses (CN, CT ). In this work, two viscoelastic models are considered, i.e., Burger and Modified Maxwell. The formulas of CN and CT for two cases of crack distributions (isotropic and transversely isotropic) are obtained by asymptotic techniques where the thickness of the joint tends to zero