bluuebunny/crossref_metadata_2025 huggingface dataset:
Battery-aware federated learning: Challenges and solutions
Authors: Zhang Ziyue
Published: February 2024

Smartphone battery life is a pivotal factor in consumers' purchasing decisions. Recent years have witnessed a surge in studies focusing on smartphone energy management, with data-driven energy management systems offering solutions to prolong battery life. Federated Learning (FL) emerges as a promising distributed learning algorithm, enabling wireless devices to upload locally trained models, fostering collaborative learning without exposing sensitive data. This paper explores the FL process, particularly the Federated Averaging (FedAvg) approach, which excels in scenarios with homogeneous data. In the era of burgeoning data generation, traditional cloud computing systems face limitations, driving the adoption of Edge Computing (EC), which processes data closer to its source, enhancing response times. To make FL efficient for e-commerce, resource constraints must be addressed. This involves techniques like local updates and model compression, which reduce communication overhead. However, FL brings challenges related to data distribution heterogeneity and privacy concerns. Solutions like differential privacy, encryption, and access control are discussed. In conclusion, this paper presents an overview of smartphone battery life, data-driven energy management, and the potential of FL, emphasizing its relevance in the age of EC. By addressing resource limitations and privacy issues, FL holds promise for efficient data processing.
Machine learning models for COVID-19 diagnosis based on medical images and audio
Authors: Wang Xiaotong
Published: February 2024

The COVID-19 pandemic presents a significant danger to human health, with far-reaching consequences for the global economy and political dynamics. It presents complex challenges in terms of rapid and accurate diagnosis, where machine learning holds potential to enhance diagnostic speed and precision while reducing time and resource burdens. Consequently, this research employs CT images and cough audio recordings as training data to create machine learning models for data classification, with the goal of aiding in the diagnosis of COVID-19. Using the Edge Impulse platform, a Convolutional Neural Network, MobileNetV2, is customized for efficient image recognition. On the audio front, the preprocessing phase encompassed three distinct feature extraction techniques: Mel Frequency Cepstral Coefficients, Mel-Filterbank Energy (MFE), and Mel spectrogram. Subsequently, model frameworks were meticulously adjusted to accommodate the classification requirements. The results of this effort are highly encouraging. In the domain of CT image recognition, the top-performing model achieved a remarkable accuracy of 93.98%. In the concurrent task of categorizing cough audio data, the best performance reached 81.8%. These findings underscore the capability of this approach as an effective supplementary tool for medical diagnostics. In the face of COVID-19s persisting impact, such machine learning advancements could significantly aid in swift and reliable diagnoses, ultimately contributing to the global battle against the pandemic.
Logistics warehousing system shelving station route planning based on X-ARM
Authors: Feng Pengao
Published: February 2024

The need for automated control in warehouse and logistics systems has increased recently, particularly in the area of cargo storage. The use of robot arms in manufacturing is an important area for development. Multi-arm actions, including switching between multiple arms, expand the number of potential operations that numerous operators can do, but they also bring more computing hurdles. Multiple robotic arm systems must operate with careful path planning. In this study, Based on previous research papers, we propose the utilization of dRRT* and mmdRRT* algorithms for efficient path planning. The dRRT* algorithm improves exploration and convergence to an ideal path by combining the advantages of the rapidly-exploring random tree (RRT) with the optimal RRT* algorithm. To address complicated and dynamic situations, the mmdRRT* algorithm, on the other hand, uses a multi-modal distribution model. We want to improve the reliability and effectiveness of path planning for various robotic arm systems by combining these two techniques.
Identifying positive and negative comments underneath technology videos based on Bert's model
Authors: Lu Zhentao , Qiu Chaoqun , Yang Zihan
Published: February 2024

With the gradual popularization of the Internet and the increasing richness of content, more and more popular science videos appear in peoples vision. However, people have different attitudes towards them and cannot make explicit judgments. This paper used comments from some popular science videos on Bilibili as a dataset, trained the Bert model using parallel training methods such as (Distributed Data parallel) DDP, and selected different proportions of datasets (20%, 30%, and 40%) for training and testing data to objectively determine the positive and negative attitudes of people in comments. Research has found that different scale datasets have similar performance, with an 86% -87% accuracy rate. Besides, multi-card parallel processing can bring higher returns. The results help people comprehensively understand audience feedback and emotional preferences towards technical content. At the same time, it reveals the complex relationship between the emotions reflected in comments and various factors such as audience engagement, content strategies, and demographics.
Research on cross-field applications and future prospects of intelligent sensors
Authors: Pan Chaolin
Published: February 2024

The Internet of Things (IoT) has transformed daily life through enhanced internet and communication technologies. Intelligent sensors, like temperature and humidity sensors, have revolutionized smart homes, enabling remote control and enhancing comfort. In agriculture, these sensors monitor soil moisture and crop conditions, optimizing farming practices for increased yields and sustainability. Healthcare benefits from the IoT with sensors in medical devices and wearables, offering real-time patient monitoring and cost reduction. Logistics employs intelligent sensors to track goods, boosting supply chain efficiency. Projects like IoT-based road analysis systems and pest monitoring exemplify data collection and intelligent decision-making, benefiting urban management and agriculture. It can be seen that intelligent sensors have an irreplaceable role in the Internet of Things, so this paper will introduce the technology and working principles of intelligent sensors and discuss the cross-domain applications and future expectations of intelligent sensors. Through literature analysis, it can be concluded that after the intelligent sensor receives the external signal, it will convert the signal into a physical signal related to the measured parameters and process, store, and communicate it so as to realize the detection, control, and data transmission of the environment. This means that intelligent sensors can be widely used in industrial production, environmental monitoring, medical health, and other fields.
Wearable ring device for post-exercise syncope
Authors: Guo Yijia
Published: February 2024

The ponderance of post-exercise syncope is shown in this paper through listing the possibility of post-exercise syncope among all kinds of syncope cases. Some inventions that have developed to monitor the post-exercise syncope are listed and compared in this work, including the cooling-down method, mobile health applications, and wearable devices. This paper shows the idea of improving the Oura Ring device to alert users not to sit right after dense exercises through measuring the users heart rate as well as movement through sensors. By using the system usability scale, the expected feedback is shown with a range of numbers 1 to 5. Having an average expected usability score over 68, the ring device is expected to be helpful to users though some limits still involve in this device, such as some movements could not be measured clearly due to the shape of the device.
Optimization of low power consumption in wearable health monitoring devices and algorithm design
Authors: Zhu Ethan
Published: February 2024

This paper surveys state-of-the-art approaches designed to decrease the power consumption of wearable health monitoring devices, thereby optimizing battery life. Specifically, this paper examines a concept proposed by researchers in a separate investigation, which involves active computation offloading. This entails developing an algorithm that efficiently distributes data processing tasks between wearable health monitoring devices and mobile applications. Researchers have successfully reduced system power consumption by up to 20% by intelligently offloading computations based on existing device characteristics. In contrast, another ECG remote monitoring system focuses on designing the lowest power sensor while keeping the system low cost and scalable. Lastly, this paper provides ideas to further lower power by state-of-the-art chip design, algorithmic and system design techniques.
Penerapan Sanksi Pidana dan Pemenuhan Hak Restitusi Anak Sebagai Korban Tindak Pidana Perdagangan Orang
Authors: Ilma Hutmi Amivia
Published: February 2024

Abstract
This paper discusses the act of trafficking in persons as an extraordinary crime that degrades the lives of others in order to solely benefit themselves. Poverty is one of the biggest causes of trafficking despite other factors, such as legal policies and gender inequality. Children are the most vulnerable victims of trafficking crimes, especially those who are economically and educationally disadvantaged. The writing of this study is intended to determine how the form of implementing criminal sanctions and granting restitution rights to children as victims of trafficking crimes. The writing of this research applies normative legal research methods, namely by using various laws, decisions, and regulations that have been made or based on community norms and rules as well as various academic texts and research results of relevant experts. The result of this study is that the application of criminal sanctions in the form of imprisonment and fines given to traffickers has been formulated in the Criminal Code and outside the Criminal Code by taking into account the classification of perpetrators in committing trafficking crimes. In the event that the fulfillment of the victim's rights is given by providing restitution which is the obligation of the perpetrator to the victim which has been regulated through a separate mechanism.
 
Abstrak
Dalam penulisan ini membahas permasalahan mengenai tindakan perdagangan orang sebagai tindak kejahatan luar biasa yang merendahkan derajat hidup orang lain untuk semata-mata mendapatkan keuntungan bagi dirinya sendiri. Kemiskinan menjadi salah satu faktor terbesar dalam terjadinya tindak pidana perdagangan orang, di samping juga terdapat faktor lainnya, seperti kebijakan hukum dan ketimpangan gender. Anak merupakan korban yang paling rentan untuk menjadi objek dalam tindak pidana perdagangan orang, terutama mereka yang kurang mampu secara ekonomi dan pendidikan. Penulisan penelitian ini dimaksudkan untuk mengetahui bagaimana bentuk penerapan sanksi pidana dan pemberian hak restitusi terhadap anak sebagai korban dari tindak pidana perdagangan orang. Penulisan penelitian ini mengaplikasikan metode penelitian hukum normatif, yaitu dengan menggunakan berbagai analisis undang-undang, keputusan, dan peraturan yang telah dibuat atau didasarkan pada norma dan aturan masyarakat, serta berbagai naskah akademik dan hasil penelitian para ahli yang relevan. Hasil dari penelitian ini adalah mengetahui bagaimana penerapan sanksi pidana berupa pidana penjara dan pidana denda yang diberikan kepada pelaku perdagangan orang sebagaimana telah dirumuskan dalam KUHP maupun di luar KUHP dengan memperhatikan klasifikasi pelaku dalam melakukan tindakan tersebut. Dalam hal pemenuhan hak korban, dilakukan dengan pemberian hak restitusi yang menjadi kewajiban pelaku terhadap korban yang telah diatur melalui mekanisme tersendiri.
Assessing EFL Listening and Speaking Skills During Remote Teaching
Authors: Benitez-Correa Carmen , Ochoa-Cueva Cesar , Vargas-Saritama Alba
Published: February 2024

The purpose of the present study was to analyse how English as a Foreign Language (EFL) listening and speaking skills were assessed during remote teaching as a result of the COVID-19 pandemic. The participants were 174 senior high school students in public and private institutions, 102 EFL teachers, 32 high school authorities, and 80 students’ parents. The methodology comprised a quantitative approach in which students’, teachers’, and authorities’ surveys were analysed. The instruments employed consisted of a five-point Likert scale that included strongly agree, agree, neutral, disagree, and strongly disagree regarding items related to assessment. The findings suggest that for assessing listening and speaking skills the teachers in the research mostly used online technological tools such as quizzes, chatrooms, and blogs. Furthermore, the assessment instruments included oral presentations, questioning, as well as listening and speaking tests. Finally, formative and summative assessments were mainly employed to evaluate students’ listening and speaking skills during the pandemic.
Carrying Rabbit With: '12 days of myxoma'
Authors: Stapp-Gaunt Andraya
Published: February 2024

My writing research poses and responds to questions of how and why we might make stories about living and dying well with rabbits. I use Indigenous epistemology and elements of Donna Haraway’s SF figure (2016) to create stories grounded in relatedness for partial healing. These stories perform the Māori kawe mate, a rite that translates as ‘carrying the dead’. Stories are inherited and reconfigured. They are made with others, including the dead. I think with the rabbits of Bowen Bridge, and their progenitors. I carry their memory through visual images and spoken word.
Tetralogy of Fallot with an anomalous origin of right coronary artery from the pulmonary artery in a case of type i aortopulmonary window—A diagnostic challenge
Authors: Haranal Maruti , Saxena Shivang , Katewa Ashish
Published: February 2024

Aortopulmonary (AP) window is a conotruncal defect with an incidence of < 1% amongst congenital heart defects. It often occurs in association with other congenital cardiac defects. Coronary artery anomalies in association with the AP window are infrequent. An anomalous right coronary artery (RCA) from the pulmonary artery (ARCAPA) is an extremely rare entity with 0.002% incidence in the general population. To the best of our knowledge, the triad of Tetralogy of Fallot (TOF), ARCAPA and AP window is not yet reported in the literature.
Image destination engagement from a cultural perspective—A neuromarketing approach for a Spanish-German study
Authors: Mas José Manuel , Jaszus Kathrin , Gómez Andrés , Monleon Fernando García
Published: February 2024

The importance of the image of the tourist destination in the communication and marketing of a tourist destination is beyond doubt. For this reason, numerous studies address these issues. However, not so many do so from the perspective of the emotion the receiver feels, which is why this study deals with analyzing the emotion generated in the receiver through neuromarketing techniques and measuring the level of engagement felt. As a fundamental part of this study, we added the variable of cultural differences, both generically and specifically for gender and age. We are mainly guided by the theories of Life Cycle Theory and Generational Theory to analyze age differences. At the same time, gender differences are approached from the Gender Role Theory. The sample comprises hundred individuals with apparent cultural differences, one sample of German origin and residence and the other of Spanish origin and residence, 50/50. We approached the study from the point of view of the emotion felt by the receiver of the message based on ten neuromarketing techniques (EGG) and ten images used by a famous tourist destination known in both countries. The results suggest that not only are there differences in the emotion felt after viewing images of a tourist destination, but that these differences are also explained by cultural background, gender, and age.
Tourism development: A capacity dynamic
Authors: Marques Bruno
Published: February 2024

The internationally adopted definition of tourism prompts to develop a systemic dynamic approach of tourism development. The paper proposes to conceptualize tourism development as a system interlinking three agents: transport, domestic tourism activities and the visitor; generating three types of development tourism development dynamics. In a second step, it uses this framework to develop, with a minimalist set of hypotheses, a capacity-based model enabling to consider destination tourism development as a microfounded supply-driven systemic dynamic process. Through the lens of the model, exhaustion or asymmetric distribution of market power may halt destination tourism development. Using the model’s framework, the structuring forces of the Tourism Area Life Cycle (TALC) are explained by the dual impact of capacity dynamics: accelerating by increasing arrivals, and at the same time decelerating by declining price elasticities.
The impact of healthcare service quality dimensions on patient satisfaction: a case study of Ganta United Methodist Hospital, Liberia
Authors:   Faculty of Health Sciences, Healthcare Organizations Management, Cyprus International University, Nicosia, Cyprus, Younquoi Cyrus , Jalloh Abdulai ,   Faculty of Health Sciences, Healthcare Organizations Management, Cyprus International University, Nicosia, Cyprus, Onyibe Precillia ,   Faculty of Health Sciences, Healthcare Organizations Management, Cyprus International University, Nicosia, Cyprus, Nwosu Laurine ,   Faculty of Economics and Administrative Sciences, Business Administration, Cyprus International University, Nicosia, Cyprus
Published: February 2024

Patient satisfaction is an important measure of healthcare service quality and influences the overall effectiveness of healthcare systems. This study aims to evaluate the relationship between various dimensions of healthcare service quality and patient satisfaction. The dimensions include Tangibility, Reliability, Responsiveness, Assurance, and Empathy. A convenient sampling technique was employed. Data were collected via questionnaire distribution to people who have received services at the Ganta United Methodist Hospital. A total of 384 questionnaires were distributed. However, due to missing information, 381 valid responses were employed for analysis using the Statistical Program for Social Sciences (SPSS) software. Factor analysis was conducted for testing validity and reliability was carried out on the valid items to generate Cronbach’s alpha values. Correlation and regression analysis were conducted on the constructs of interest. The findings revealed a satisfaction level below average among respondents. A positive association and a significant impact of the service quality dimensions on patient satisfaction were also revealed. It is recommended that the hospital management implement strategies to enhance these dimensions and patient overall satisfaction, which include providing training for all members of staff on communication skills, providing an environment that is easily assessable, and paying keen attention to patient feedback to create room for continuous improvement.
PROPOSTA DE PREVENÇÃO AO CRIME POR MEIO DA TECNOLOGIA DA EDUCAÇÃO A DISTÂNCIA APLICADA À SOCIEDADE
Authors: De Oliveira Anderson Martins , Ferreira Junior Luiz Antonio
Published: February 2024

Este trabalho tem como objetivo apresentar uma proposta para realização de cursos voltados à segurança pública e cidadã por meio de uma plataforma de ensino a distância (EaD) tendo como agência de fomento a Polícia Militar do Paraná, contribuindo de forma significativa para o policiamento preventivo da sociedade de forma geral. Observa-se nos últimos anos, a valorização da tecnologia em todos as áreas e serviços prestados à população, por outro lado, há um aumento da criminalidade e de episódios de desordem pública. A proposta destaca a importância do ensino EaD como um catalisador à prevenção dos mais diversos delitos, possibilitando que os militares estaduais detentores de vivências e experiências nas mais diversas áreas, possam compilar esse conhecimento e repassar para a sociedade, ampliando a atuação da segurança pública e aplicando os conceitos de segurança cidadã, uma vez que acreditamos numa mudança de cultura e paradigmas no que diz respeito às questões relacionadas à segurança pública e policiamento, sobretudo, na redução da criminalidade, com uma população mais preparada e atenta para potenciais casos de desordem ou algo sinistro que possa causar algum dano moral ou físico a sua vida.
Predictive value of intracranial pressure-related parameters and coagulation on the prognosis in patients with traumatic brain injury.
Authors: Shen Linna , Lu Haibin , Yang Shuibo , Chen Feixiong
Published: February 2024

This study investigated the factors affecting the prognosis of patients with traumatic brain injury (TBI) and assessed the predictive value of intracranial pressure-related parameters and coagulation on prognosis. Seventy TBI patients admitted between January 2020 and January 2021 were catego-rized into good prognosis (n=42) and poor prognosis (n=28) groups according to the Glasgow Outcome Scale (GOS) score upon discharge. Factors affecting prognosis were analyzed, and differences in intracranial pressure and coagula-tion between the two groups were compared. The receiver operating charac-teristic curve (ROC) was used to calculate the predictive value of intracranial pressure-related parameters and coagulation function on prognosis. Within 24 h postoperatively, the good prognosis group had lower levels of intracra-nial pressure (ICP) and partial pressure of oxygen in brain tissue (PbtO2) and higher cerebral perfusion pressure (CPP) and cerebral hemodynamic param-eters than the poor prognosis group (p<0.05). The good prognosis group had significantly lower prothrombin time (PT), activated partial thromboplastin time (aPTT),and prothrombin time (TT) levels and higher platelets (PLT) and fibrinogen (Fib) levels than the poor prognosis group (p<0.05). Regression analysis revealed that CPP, systolic blood flow velocity (Vs), end-diastolic blood flow velocity (Vd), mean blood flow velocity (Vm), PLT, Fib were independent protective factors for the prognosis, and ICP, PbtO2, PT, APTT, and TT were risk factors for prognosis. The ROC revealed that ICP, CPP, PbtO2, Vs, Vd, Vm, APTT, PLT, Fib exhibited high diagnostic value for poor prognosis (AUC=0.732, 0.940, 0.796, 0.706, 0.914, 0.729, 0.876, 0.709, 0.866), with ICP showing the highest diagnostic sensitivity and Vd showing the highest diagnostic specificity. Intracranial pressure-related parameters and coagulation indicators are prog-nosis-related indexes in patients with TBI, and the prognosis and survival can be improved by controlling intracranial pressure and improving coagulation.
Pulmonary toxicity associated with high-dose favipiravir and treatment options: biochemical and histopathological evaluation.
Authors: Elma Bekir , Suleyman Bahadir , Mammadov Renad , Yavuzer Bulent , Unver Edhem , Altuner Durdu , Coban Taha , Mokhtare Behzad , Suleyman Halis
Published: February 2024

Favipiravir is a broad-spectrum antiviral drug that is a viral RNA-dependent RNA polymerase inhibitor. Favipiravir is used in high doses to treat COVID-19 but has a side effect on humans at high doses. The side effects of favipiravir have been associated with oxidative stress in the literature. In this trial, we investigated the biochemical and histopathological effects of lacidip-ine, thiamine pyrophosphate (TTP), and adenosine triphosphate (ATP), drugs with antioxidant properties, on the lung toxicity caused by high-dose favipiravir in rats. The rats were classified into five groups: healthy (HG), favipiravir alone (Fav), lacidipine+favipiravir (LFav), TPP+favipiravir (TFav), and ATP+favipiravir (AFav). Favipiravir (800 mg/kg) was administered twice daily for seven days. Laci-dipine (4 mg/kg), TPP (20 mg/kg), and ATP (25 mg/kg) were administered once daily for seven days. Oxidant (malondialdehyde), non-enzymatic (total glutathi-one), and enzymatic (superoxide dismutase and catalase) antioxidant levels were measured in the excised lung tissues. Furthermore, the tissues were histopatho-logically examined. The systemic administration of high doses of favipiravir in-creased oxidant levels and decreased antioxidant levels in the lung tissue of rats. In parallel, the histopathological examination of the lung tissue revealed the presence of severe mononuclear cell infiltrations in interstitial areas and pronounced lymphoid hyperplasia. Lacidipine exhibited superior efficacy in mit-igating oxidative stress and preventing the decline of antioxidants induced by favipiravir compared with TPP and ATP. Histopathologically, the lacidipine admin-istration significantly reduced lung oxidative damage. TTP moderately reduced severe favipiravir-associated lung injury. However, ATP was ineffective against fa-vipiravir-associated lung injury. Lacidipine offers more therapeutic benefits than TPP in treating oxidative lung injury caused by high doses of favipiravir.
Gross anatomical measurements and microscopic quantification of epidermal laminar density of the porcine hoof capsule
Authors: Fick Meghan , Weber Wolfgang , Karriker Locke , Stalder Kenneth , Nelson Julie , Rowe Eric
Published: February 2024

Objective: To compare measurements of the medial and lateral hooves of the forelimbs and rear limbs and to quantify epidermal laminae density in the hoof capsules of sows. Materials and methods: Hoof measurements were obtained from 40 thoracic and 40 pelvic limbs of clinically sound sows. Holes were drilled into each digit to determine the depth of the dorsal wall, abaxial wall, and sole. Dorsal wall length, abaxial wall height, sole width, sole + wall length, and ground surface of each hoof were measured. All measurements of depth and length were made using an electronic digital caliper. Epidermal laminar density was analyzed in 69 thoracic and 74 pelvic limbs. The laminar junction was divided into zones consisting of 25 laminae each. Zone width was measured using an electronic digital caliper. Results: Lateral digits from rear limbs were longer than medial digits on the dorsal and volar surfaces. Both digits on the forelimbs had wider soles than those of the rear limbs. Abaxial wall depth was significantly less than dorsal wall depth. The laminar zones at the axial and abaxial extremities of the wall were significantly less dense than the zones at the dorsal aspect of the toe. Implications: Differences in hoof wall measurements in swine have previously been under reported in scientific literature. The results of this study indicate that the thinnest portions of the hoof wall may be related to the most common sites of lesions as reported in prior studies.
Unveiling the “Five Catalysts” for the Success of the Core Tax Project
Authors: Juwita Syerlin , Qadri Resi Ariyasa
Published: February 2024

The objective of this investigation is to evaluate the determinants impacting the efficacy of the Volume III tax reform, specifically the implementation of the Core Tax Administration System, among employees as primary users of these system enhancements. Employing a qualitative case study methodology, this research scrutinizes the experiences of staff at the Small Tax Office of Muara Bungo. Utilizing both primary data, derived from questionnaires and interviews, and secondary data, sourced from an extensive literature review, this study employs thematic analysis to dissect the data. The findings identify five critical factors influencing the successful implementation of the Core Tax Administration System Update. These insights aim to inform the Directorate General of Taxes about critical considerations necessary for augmenting preparedness and optimizing the execution of tax reform initiatives.
Explore the Paths and Strategies for Integrating Red Culture into Physical Education in Higher Vocational Colleges in Hubei Province in the New Era
Authors: Xue Cao
Published: February 2024

Physical education in higher vocational colleges in Hubei province, as an important part of cultivating young students' physical and mental health, how to integrate into the red culture in the new era and lead students to the correct life road is a topic worth exploring. Through literature review, this paper reviews the current situation and trends of red culture research at home and abroad, and discusses the path and strategy of integrating red culture into physical education of higher vocational colleges in Hubei in the new era. By analyzing the current situation of physical education and studying the connotation and value of red culture and red sports in the new era, the paper puts forward the path of integrating into red culture in the new era, and makes corresponding strategies. This will help enrich the connotation of physical education in schools and cultivate students' patriotic feelings and social responsibility.
An Examination of Preservice Teachers' Simulated Classroom Assessment Practices
Authors: Bachor Dan G. , Baer Markus R.
Published: February 2024

The comments made by 127 preservice teachers (PTs) in the Faculty of Education, University of Victoria as they compiled portfolios on three hypothetical grade 5 children are examined. The PTs were asked to record their comments in the form of a journal throughout the term. At the end of the term the PTs' comments were collected, transcribed, and the resultant data analyzed using Atlas/ti. The data were analyzed to examine the types of decisions the PTs made about the hypothetical children. Two main patterns of decisions were taken by the PTs. Most seemed to follow a fairly logical set of procedures, formulating criteria to evaluate the assignments and then applying them. A few appeared to make judgments that may have been unsound, however, commenting on the children's quality of life or designating them as having special educational needs when the evidence presented did not support such conclusions.
A Cohort Practicum Model: Physical Education Student Teachers' Experience
Authors: Melnychuk Nancy
Published: February 2024

The Faculty of Education at the University of Alberta has recently moved to a cohort practicum policy that encompasses a reflective practitioner model, encouraging whole-school experiences while maintaining positive one-on-one mentorships. The intent of this case study was to investigate the lived world of 10 physical education student teachers who were placed together in groups of five at two secondary school sites for their final eight-week field experience. Specifically, the benefits of the cohort experience were explored through a continual process of triangulation, employing a variety of data-collecting techniques: observing and recording field notes, conversing, journal-writing, and interviewing. Findings revealed overwhelmingly positive responses to the cohort field experience, as expressed by the participating student teachers and cooperating teachers through the emergent themes: Collegial Support, Multiple Ways of Knowing and Doing, Lifelong Learning, Time to Talk, Whole- School Experiences, and Becoming Critically Reflective. At the two school sites a supportive learning environment that valued trust, openness, and mutual respect allowed professional growth to occur. What began as a mentorship of a student teacher with a cooperating teacher evolved into a collaboration of "experts." Having several student teachers in one department was advantageous in many ways, fostering reflective practice, joint thought, and collaborative action. Insights from this study have implications for the preservice education of physical education teachers and other teacher education programs.
Stories of Supporting Constructivist Pedagogy Through Community
Authors: Kinnucan-Welsch Kathryn , Jenlink Patrick M.
Published: February 2024

The conceptualization of professional development for educators is shifting from the prevalence of one-shot, quick-fix activities to a lifelong continuum of meaningful experiences, both within and outside of school. The purpose of this article is to examine how 102 educators over a span of three years explored constructivist pedagogy in the Cadre for Authentic Education, a professional development experience grounded in constructivist principles. The analysis of the qualitative data collected throughout the project suggested three stories that reflect the Cadre experiences: stories of frustration, stories of the importance of representing constructivism metaphorically, and stories of community. The stories represented in this article offer readers an opportunity to consider how teachers make sense of their underlying beliefs and assumptions as related to practice in the context of constructivist professional development experiences.
Considerations Regarding Graduate Student Persistence
Authors: Schinke Robert J. , da Costa José , Andrews Michael
Published: February 2024

Completion of graduate studies is a central issue for universities. Over the past decade researchers interested in higher education have become concerned with graduate student completion rates. Possible reasons underlying variations in graduate student persistence have included the amassed learning experiences and subsequent perceptions of graduate students, supervisory committee members, and other department staff. This article addresses some of the psychosocial considerations that underlie the complex interactions among students, supervisory committees, and departmental support staff, referred to here as the "academic triad." Using Seligman's (1991) explanatory framework and Bandura's (1986) self-efficacy theory, this article explains how student persistence is closely tied to the behavior of students, academics, and departmental support staff. Further, the article provides two frameworks to gain a broadened understanding of the relationship between the academic triad and graduate student persistence. Recommendations are provided as to how to foster graduate student persistence through improved personal and interpersonal reflexivity.
STUDY ON EXCELLENCE IN HOTEL ASSISTANCE
Authors:   Assistant Professor, SRM-IST, Tiruchirappalli 1,2, VINOTHRAJA P. , SHAHITHA AM ,   Assistant Professor, SRM-IST, Tiruchirappalli 1,2
Published: February 2024

In conditions of increasing global contest, demands and needs of consumers, excellence and excellence management have become fundamental strategic factors of achieving profitability and competitiveness on the relentless tourism market. Any serious "top" hotel management, with a defined mission, vision and goals, must define a "special policy" of improving the excellence of hotel assistance s through "structural programs of excellence improvement," which have become an important factor in the hotel business. With the design, introduction and control of a "special program" of excellence improvement of hotel assistances, hotel management can have a positive impact on increasing satisfaction of customers and human resources, increasing competitiveness and market power of the hotel, the rationalization of operating costs and enhance the reputation and value of the hotel on the demanding tourist market. Keywords: hotel assistance, excellence, management, staff, program
Socio-Economic Value of Wetlands: A Case Study of Bihar
Authors:   Assistant Professor  A N Sinha Institute of Social Studies, Patna, Pandey Aviral
Published: February 2024

This paper delves into the socio-economic significance of wetlands and the associated conservation challenges. Notably, North Bihar heavily relies on wetlands, contributing 64%, while South Bihar contributes 36% to the total wetland area. The diverse importance of these wetlands is evident through their ecosystem services, encompassing domestic use, income generation, ecotourism, and biodiversity support. Vital economic activities, including fisheries and agriculture, thrive, playing a pivotal role in supporting local livelihoods. Despite their cultural and religious significance, Bihar's wetlands confront threats like altered water flow, pollution, and encroachment. Urgent and tailored conservation strategies are essential to ensure the enduring sustainability of these ecosystems. The study offers valuable insights into wetland distribution, services, challenges, and conservation efforts in Bihar. Keywords: Conservation, North Bihar, South Bihar, Socioeconomic Value and Wetlands.
Advancements and Applications of Friction Stir Welding: A Comprehensive Review
Authors:   Assistant Professor, Department of Mechanical Engineering, Velalar College of Engineering and Technology, Erode-638012., Dinesh T.C.R , Karvendhan, S ,   Assistant Professor, Department of Mechanical Engineering, Velalar College of Engineering and Technology, Erode-638012.
Published: February 2024

Friction Stir Welding (FSW) has emerged as a groundbreaking joining technique revolutionizing the field of manufacturing and engineering. This review paper provides an in-depth analysis of the evolution, principles, process parameters, advancements, challenges, and diverse applications of FSW. It discusses the fundamental mechanisms governing FSW, explores the latest developments in tool materials and designs, examines the influence of process parameters on weld quality, and highlights the innovative applications of FSW across various industries. Additionally, this paper addresses the current challenges and future prospects to further enhance the efficiency, reliability, and versatility of FSW technology. Keywords: Friction Stir Welding, Joining Techniques, Weld Quality, Process Optimization, Advanced Materials, Applications, Challenges, Future Directions.
Automated Detection of Rheumatic Heart Disease via Unsegmented Heart Sound Analysis
Authors:   Computer Science and Systems Engineering & Lendi Institute of Engineering and Technology, Vizianagaram, Devi G.Rama
Published: February 2024

Rheumatic Heart Disease (RHD) remains a significant cause of morbidity and mortality in many parts of the world, particularly in low-resource settings. Early detection and intervention are critical to mitigating its progression and reducing associated complications. This paper presents an automated approach for the detection of RHD utilizing unsegmented heart sound analysis through deep learning techniques. By leveraging Spectro-temporal representations of raw heart sound signals, our proposed method aims to capture subtle yet discriminative patterns indicative of RHD pathology. The deep learning model is trained on a dataset comprising a diverse range of heart sounds, including those from both RHD-positive and RHD-negative individuals. Through rigorous evaluation of unseen data, our approach demonstrates promising performance in accurately distinguishing between RHD and healthy heart sounds. Furthermore, the proposed methodology offers the potential for scalable and cost-effective screening in resource-limited settings, thereby facilitating early identification and management of RHD cases. This work contributes to the advancement of computer-aided diagnostic tools for cardiovascular diseases, with implications for improving healthcare outcomes and reducing the burden of RHD globally. Key Words: Rheumatic Heart Disease, Heart Sound Analysis, Deep Learning, Automated Detection, Unsegmented Signals, Spectro-Temporal Representation, Cardiovascular Disease.
AI-Powered Chest Disease Detection and Classification using Deep Learning
Authors:   Computer Science and System Engineering ,Lendi Institute of Engineering and Technology,  Vizianagaram, Rajender R
Published: February 2024

AI-Powered Chest Disease Detection and Classification using Deep Learning Method presents an innovative approach to revolutionize chest disease diagnosis through the integration of advanced deep learning techniques. This initiative focuses on the development of an intelligent system that can effectively detect and classify a variety of chest diseases by analysing medical images, such as chest X-rays and CT scans. At its core, the project involves the compilation and preparation of a diverse dataset containing both normal and disease-affected chest images. Leveraging the capabilities of deep learning, particularly convolutional neural networks (CNNs), the project then designs and trains models to learn intricate patterns and features indicative of different chest diseases. The models are optimized for accuracy and robustness. This efficiency translates to quicker diagnoses, enabling prompt medical interventions. The AI system serves as a complementary tool for healthcare professionals, aiding in decision- making by providing valuable insights and augmenting their expertise.
Development and Clinical Evaluation of a Low Glycaemic Index Multi-Millet Snack
Authors:   Department of R&D, Healthcare, Netsurf Labs, Pune (India), Ambulkar Pranit , Tambe Bhagwat , Jadhav Prabhakar
Published: February 2024

The prevalence of metabolic disorders, including obesity, diabetes, and high cholesterol, has been closely linked to dietary habits characterized by a high intake of refined carbohydrates and unhealthy fats. Addressing this issue through healthy eating practices is crucial in preventing the onset of these disorders. However, popular snacks in society often contribute to unhealthy diets. In response, this study aimed to develop a nutritious multi millet snack using food technologies like protein extraction, extrusion puff technology, tumble blending and no-fry oil treatment. The nutritional analysis revealed high protein and high fibre content, as well as a low-fat profile. Clinical evaluation of the snack on 16 human volunteers demonstrated a low glycemic index (GI) 45.7, indicating slower sugar release into the bloodstream. The experiment's outcome presents a promising avenue for promoting health-conscious and diabetic-friendly dietary choices. The study underscores the potential of combining food technologies with millet-based formulations to create foods that align with the needs of individuals seeking to maintain or improve their metabolic health. Further investigations and long-term studies are needed to evaluate benefits of this multi millet snack on cholesterol and obesity when used as a replacement to regular dietary practices Key Words: Food technology, Millet, Snack, healthy, Low Glycemic index, GI
Object Detection for Enhanced Visuals Using Deep Learning
Authors:   Computer Science and System Engineering, Lendi Institute of Engineering and Technology, Vizianagaram, Venakataramana R
Published: February 2024

Object detection serves as a foundational aspect in computer vision, finding utility across a spectrum of applications spanning autonomous driving to security surveillance. The primary objective of this endeavor was to engineer a resilient and effective object detection framework leveraging deep learning methodologies, subsequently assessing its efficacy on real-world datasets. The project leveraged contemporary neural network architectures alongside modern tools for data preprocessing and evaluation. Keywords: Single shot Detector (SSD), Pre-Processing, Deep Learning, Image Processing, Classification.
EFFECT OF PUFFING ON PHYSICO- CHEMICAL PROPERTIES OF CHICKPEA
Authors:   1M.Tech Scholar Department of Agricultural Process Engineering, CAET, VNMKV, Parbhani,  Maharashtra, India., Jadhav Rachana , Khodke Smita ,   2Head, Department of Agricultural Process Engineering, CAET, VNMKV, Parbhani,  Maharashtra, India.
Published: February 2024

The Chickpea or Bengal gram or gram (Cicer arietinum) is an annual legume that belongs to the family Fabaceae. Chickpea is a remarkable legume known for its potent phenolic compounds, which offer strong antioxidant, anti-mutagenic, and anti-genotoxic benefits, It is consumed due to abundance of carbohydrates, proteins, essential amino acids, minerals, and dietary fiber. puffing leads to a higher puffing index, improved crispiness and volume and enhanced texture of Chickpea. For preparation of Puffed Chickpea, grains were preheated at 1500C for 30 sec, the preheated grains were tempered for 7 hrs of tempering time, after tempering the grains were dipped in water for 20 sec and then the grains were puffed at 1600C. The physical (viz., length, width, thickness, AMD, GMD, SMD, EQD, Surface Area of Single Grain (S), Unit Volume of Single Grain (V) and Bulk Density (BD)) and chemical composition (viz., Moisture, Protein, Fat, Crude fibre, Carbohydrate and Ash content) of raw and puffed Chickpea (Cicer arietinum L.) were analyzed and it was found that physical properties viz., length, width, thickness, AMD, GMD, SMD, EQD, Surface Area of Single Grain (S) and Unit Volume of Single Grain (V) of puffed Chickpea was greater than that of raw Chickpea and proximate composition viz., Moisture, Protein, Fat and Ash content of raw chickpea grains were more than that of puffed Chickpea Grains.
An evaluation of the sources and extent of error in the position of implants placed using 3D-printed stereolithographic surgical guides.
Authors:   T.P.C.T.’s Terna Dental College, Khanna Anshul , Sheth Vidhi , Pai Ashutosh , Shah Naisargi , Yadav Sangeeta , Raut Sayali
Published: February 2024

Introduction/Background. Errors can be introduced in implant placement when using stereolithographically manufactured fully limiting surgical guides due to various factors, such as discrepancies in designing and manufacturing of surgical guides (intrinsic error), built-in variations in design of mechanical components of guide systems and implant dimensions (inherent error) or due to placement error by the operator (operator error). Aim. The aim of this study was to evaluate influence of various factors on implant position when using these guides. Materials and Methods. Prosthetically-driven implant positions were planned with pre-operative cone beam computed tomography (CBCT) data and digital scans using a computer aided designing (CAD) software. Static guided implant surgery was performed under local anaesthesia using fully limiting mucosa-supported surgical guide. Pre-operative and post-operative CBCTs were superimposed using surgical sleeve as a reference to evaluate the placement error by operator (N=12). To evaluate intrinsic error, standard tessellation language (STL) files of the virtual design of the surgical guides and the STL file obtained after scanning the 3D printed stereolithographic surgical guides were superimposed. Inherent error was calculated using a geometric model. Results. Intrinsic error was observed to be a major contributing factor in angular deviation of implant, linear deviation observed at implant shoulder as well as at implant apex. Operator error was observed to be a major contributing factor for mean vertical deviation observed at apex of implant. Conclusion. This study showed that accuracy of implant placement was largely influenced by discrepancies introduced during designing and manufacturing of stereolithographic surgical guides as compared to other sources.