bluuebunny/crossref_metadata_2025 huggingface dataset:
Effectiveness of Online Training on the Knowledge of Selected Childhood Mental Health Disorders among Teachers in Kaduna, NW Nigeria
Authors: LASISI M , ABDULLATEEF A , OLORUNFEMI A , DAHIRU A , MUHAMMED M
Published: May 2024

ABSTRACT
Background: There exists a wide treatment gap for mental health problems in children and adolescents in Nigeria. Reducing the treatment gap and improving the reach of mental health care thus call for additional interventions such as harnessing teachers as well as other educational staff as a task-sharing strategy. This study thus aimed to determine the effectiveness of online-based training on the knowledge of selected childhood mental health disorders among teachers in Kaduna, North-Western Nigeria.
Methods: A quasi-experimental study design was used and involved 50 teachers from 12 private and 12 public primary and secondary schools in Kaduna, Kaduna state. Participants were trained through the Zoom online medium, and training ran for three days in 2 sessions of morning and afternoon sessions per day. Each session lasted for 2 hours including time for questions with 2 hours break between sessions. Learning sessions were adapted from the Mental Health Gap Action Programme Intervention Guide (mhGAP-IG).Other materials that were not in the mhGAP-IG such as Covid-19 and its impact on child mental health were designed from current,
evidence-based reference texts. For the outcome measures, questionnaires on the level of knowledge were administered to participants at pre-training and post-training. Data were analysed with the Statistical Package for Social Sciences (SPSS) Version 25.
Results: Participants had an overall percentage score of 70.24% on the “Correct” responses, 8% on the “Don’t Know” responses, and 17.76% on the “Incorrect” responses before the training. The online training demonstrated an increase in the overall percentage score on the “Correct Responses” to 79.76%; a decrease in the “Don’t Know Responses” to 1% and the “Incorrect Responses” to 15.24%. There was also an improvement in the mean scores of participants on each module covered.
Conclusion: The online teacher training demonstrated an increase in the knowledge of participants, and a decrease in the misperceptions and lack of knowledge which is consistent with findings from other parts of the world.
A comparative study to assess the efficacy and cost-effectiveness of amisulpride versus olanzapine in schizophrenia patients at psychiatry outpatient department
Authors: Huded Chandrashekar , Bagewadi Harish , Gogi Prabhukiran , Yedve Supriya
Published: May 2024

Background: Among psychiatric illnesses, schizophrenia remains a chronic debilitating disorder. Although newer atypical antipsychotics have shown better improvement in schizophrenia patients, they are still lacking conclusive evidence-based studies.

Aims and Objectives: The comparative evaluation of amisulpride versus olanzapine in terms of therapeutic efficacy and their cost in schizophrenia patients.

Materials and Methods: This was a prospective, randomized, open-label comparative study. Patients diagnosed with schizophrenia were randomly allocated into two treatment arms. One group (n = 50) was treated with olanzapine, and another group (n = 50) was treated with amisulpride. Patients were followed up for 12 weeks. Positive and negative syndrome scale score assessments were done to evaluate the efficacy parameter. Antipsychotic drug costs were also studied.

Results: In the treatment duration, it was observed that the positive and negative syndrome scores were 42.7% in the olanzapine-administered group, whereas the score was 33.8% in patients treated with amisulpride. The reduction in clinical global impression (CGI) score was 57% in the olanzapine group and 37% in the amisulpride group. The cost range for amisulpride was (Rs) 52.5–115.9 and for olanzapine was (Rs) 6.7–13.1 per positive and negative syndrome score improvement.

Conclusion: A significant decrease in positive and negative syndrome scores and CGI scores was evident in both groups treated with amisulpride and olanzapine, but olanzapine is more efficacious and cost-effective than amisulpride.
Comparison of time domain indices of heart rate variability between alcohol-dependent individuals and non-alcoholic subjects
Authors: Muthuswamy Indumathi , S Subathra , Devanand Viji
Published: May 2024

Background: Alcohol dependence develops because of repeated alcohol intake. Alcohol damages the cardiac autonomic nerve fibers leading to autonomic imbalance, resulting in reduced heart rate variability (HRV). HRV refers to the complex beat-to-beat variation in the heart rate, produced by the interplay of sympathetic and parasympathetic neural activity at the Sino-atrial node. Our body works effectively in parasympathetic activity dominance. The time domain indices of HRV are specific markers of parasympathetic activity. A decrease in the time domain parameters indicates reduced parasympathetic activity in the heart, indicating cardiac autonomic dysfunction with vagal neuropathy.

Aims and Objectives: The objectives of the study are as follows: (1) To assess the HRV in alcohol-dependent individuals using time domain indices. (2) To compare the HRV between alcoholic-dependent individuals and non-alcoholic subjects.

Materials and Methods: A total of 110 individuals in the age group of 20–55 years were recruited for our study. Among them, 55 were alcohol-dependent individuals selected based on the diagnostic and statistical manual-IV, international classification of diseases-10 criteria, and 55 age and gender-matched volunteers were selected as healthy non-alcoholic controls. Short-term HRV was recorded in a supine posture, and the results were interpreted. Statistical analysis was done using the software SPSS version 21.0.

Results: Our results showed a significant reduction in the time-domain parameters of HRV – SDNN, RMSSD, NN50, and pNN50 in the alcohol-dependent individuals compared to the controls, suggesting reduced parasympathetic activity in the heart indicating cardiac autonomic neuropathy.

Conclusion: Alcohol affects the cardiac autonomic status leading to sudden death due to arrhythmias. HRV can be used as a non-invasive test to assess cardiac autonomic dysfunction and its biofeedback can help alcohol-dependent individuals to adopt healthy lifestyle measures.
Prevalence of covid-19 breakthrough after vaccination and adverse effects of vaccines
Authors: Ehsan Fatima , Hanif Fouzia , Ishaq Qudsia , Asim Maleha , Yousaf Maria , Mansoor Aqeel
Published: May 2024

Objective: To assess the prevalence of breakthrough Covid 19 after vaccination and adverse effects of vaccines.
Methodology: A descriptive cross-sectional study was conducted at three mega vaccination centers in Islamabad from December 1, 2021, to May 1, 2022. The sample size consisted of 300 participants (both males and females) in the age range of 30-60 years. To avoid ambiguities in answers, we included only those participants who were fully vaccinated. Among these, 150 were healthy individuals and 150 with co-morbidities, were selected through convenience sampling. Data were collected and analyzed using a pre-designed questionnaire and SPSS version 21.
Results: A significant association between breakthrough COVID-19 and age and symptoms were found in fully vaccinated individuals with and without comorbidities. The type of vaccine had a significant association only in individuals without medical illness. No significant side effects of the vaccine or gender association were found in either group. We also found a significant association between breakthrough COVID-19 symptoms and the type of vaccine used.
Conclusion: A significant association between vaccine type and breakthrough COVID was observed only in healthy individuals, probably because of their different mechanisms of action.
The effect of sport exercises and a specific ankle joint rehabilitation device on the flexibility of the joint and the degree of pain for injured athletes
Authors: Ammar Hamza Hadi  , Hussein Ali Khudair  , Ali Mudher Hasan
Published: May 2024

أغلبْ الرياضيين يعانون من الإصابات في مفصل الكاحل والذي ينتج عنها تحدد في حركة مفصل الكاحل، إذ إنٌ الاهتمام بعملية إعادة تأهيل اللاعبين المصابين يهدف إلى إعادتهم بأسرع وقت ممكن لمشاركتهم مع فرقهم في التدريب والمنافسات لهذا يهدف البحث الى إعداد تمارين رياضية، والتعرف على تأثير هذه التمارين في تحدد مفصل الكاحل للرياضيين المصابين كما يهدف البحث الى معرفة تأثير الجهاز المستخدم في تأهيل مفصل الكاحل المحدد، وقد اشتملتْ عينة البحث على (8) رياضي ممن لديهم تحدد بمفصل الكاحل والذين تم تسجيلهم رسمياً في مراكز العلاج الطبيعي في محافظة بابل، وكانت العينة من الذكور بعمر 20-25 سنة، وقد تم اختيارهم بالطريقة العمدية، واستعمل الباحثين المنهج التجريبي بتصميم المجموعة الواحدة ذات الاختبارين القبلي والبعدي، وقد استعان الباحث بالوسائل الإحصائية (الوسط الحسابي، الانحراف المعياري، وقيمة T للعينات المترابطة)، وكانت أهم الاستنتاجات التي توصل أليها الباحثين هي حصول تحسن في نتائج المتغيرات المبحوثة (المرونة، ودرجة الألم) لعينة البحث.
A comparative study on visual memory for the game of handball for fourth-year students in colleges of physical education and sports sciences among some Iraqi universities
Authors: Dhuha Abdul Jabbar  , Basma Naeem Mohsen  , Hanan Adnan Aboub
Published: May 2024

ان الغرض من الدراسة هو المقارنة في اختبار الذاكرة الصورية للعينة المذكورة من اجل الافادة للعاملين في مجال التدريس لهذه الفعالية, اذ أجريت الدراسة على عينة من الطلاب لكليات التربية البدنية وعلوم الرياضة المرحلة الرابعة للدراسة الصباحية في جامعات الوسطى و الفرات الأوسط  للعام الدراسي 2023- 2024 والبالغ عددهم (827) طالبًا توزعت اختبارات الذاكرة الصورية  لكرة اليد على العدد (292) طالبًا واختيروا بصورة عشوائية من مجتمع البحث اما عدد العينة الاستطلاعية بلغ (123)طالبا  وكانت من اهم نتائج الدراسة توجد فروق معنوية بين الجامعات التي أجريت عليها الدراسة لاختبار الذاكرة الصورية لكرة اليد واهم ما توصي بها الدراسة  اجراء الدراسة الحالية باستخدام المقياس للعبة فردية وعلى جميع محافظات القطر اذ  ان الهدف من الفعالية هو لغرض التعرف على مدى اكتساب المعلومات لطلاب المرحلة الرابعة والتركيز و الانتباه لديهم للعبة كرة اليد . والهدف الأهم هو ضمان التعليم الجيد والمنصف والشامل للجميع وتعزيز فرص التعلم للطلاب
ARABULUCULUKTA TARAFLARIN ANLAŞMASINA RAĞMEN ANLAŞMA BELGESİ DÜZENLENMEMESİ
Authors: Köksoy Mesut
Published: May 2024

Arabuluculuk faaliyetinin sona ermesi üzerine, arabulucu tarafından bir son tutanak düzenlenir. Arabuluculuk son tutanağı, anlaşma, anlaşamama veya arabuluculuk sürecinin hangi şekilde sona erdiğini gösteren ve arabulucu tarafından düzenlenmesi zorunlu olan bir belgedir. Bunun dışında, arabuluculuk süreci sonunda taraflar uyuşmazlık konusu üzerinde anlaşmışlarsa, bir arabuluculuk anlaşma belgesi düzenleyebilirler. Anlaşma belgesi düzenlenip düzenlenmeyeceğine taraflar serbestçe karar verir. Zira Kanun’da arabuluculuk anlaşma belgesinin düzenlenmesine ilişkin bir zorunluluk bulunmamaktadır. Ancak arabuluculuk anlaşma belgesi düzenlenmemesinin bazı sakıncaları vardır. Örneğin, anlaşma belgesinin düzenlenmemesi hâlinde, tarafların anlaşmasının kapsamı ve içeriğinin açık ve kesin bir şekilde belirlenmesi mümkün olmadığı için edimler ifa edilirken problemler yaşanabilir. Ayrıca uyuşmazlığın tarafı, icra edilebilirlik şerhi alarak anlaşma belgesinin ilam niteliğinde belge olmasını sağlama ve buna dayanarak ilamlı icra takibi yapma imkânından mahrum kalır. Bununla birlikte, arabuluculuğa başvurunun amaçlarından biri, tarafların arabuluculuk süreci sonunda anlaşmalarını sağlayarak uyuşmazlıkları sona erdirmek ve mahkemenin iş yükünü azaltmaktır. Anlaşma sağlanmasına rağmen anlaşma belgesi düzenlenmemesi ise, tarafların anlaşmasının kapsamının belirlenmesi, bunun içeriğinin nasıl ispat edileceği, mahkemeye başvurulmasının mümkün olup olmadığı gibi bazı hususlar bakımından başka ihtilafların ortaya çıkmasına neden olabilecek niteliktedir. Bu bağlamda, arabuluculuk süreci sonunda anlaşma sağlanması hâlinde, anlaşma belgesinin düzenlenmesinin zorunlu kılınması, söz konusu ihtilafların önüne geçilmesini sağlayabilir.
The Impact of Tax Planning, Profitability, and Leverage on the Value of Listed Logistics Companies
Authors: Sitorus Alvin David P , Tarmidi Deden
Published: May 2024

The COVID-19 pandemic significantly impacted businesses worldwide including in Indonesia. The COVID-19 pandemic's unprecedented impact on businesses has prompted a surge in research examining its effects on firm value. This study aims to analyse the value of the company after before and after the COVID-19 period and analyse the impact of tax planning, profitability and leverage. The logistics sector has an important role in business activities, including the delivery of health products during the pandemic. There are 36 transport and logistics companies sampled using purposive sampling method in this study with the research years 2018 to 2022. Using multiple linear regression analysis, the results of this study prove the effect of tax planning on firm value, while profitability and leverage cannot be proven. These results offer valuable insights for investors in the transportation and logistics sector. By incorporating tax planning information alongside traditional financial metrics, investors can make more informed investment decisions.
Kata Kunci : Perencanaan Pajak, Profitabilitas, Leverage, Nilai Perusahaan
Does Intellectual Capital Affect The Directorate General Of Taxes Organisational Performance?
Authors: Yusrifalda Amalia , Darmawan Davi Judha , Firmansyah Amrie
Published: May 2024

Intellectual capital is one of the important capital assets that every private and public sector organization should properly manage. Intellectual capital refers to individuals' knowledge, skills, and innovations within an organization. It can create a competitive advantage and improve organizational performance when managed effectively. Optimal management of intellectual capital is particularly important in the public sector, as it can strengthen institutional capacity to deliver more efficient and effective public services, ultimately increasing citizen satisfaction. With the development of literature studies related to intellectual capital, it is found that testing conducted in the public sector is still limited. This research examines intellectual capital's influence on the performance of the public sector organization, specifically the Directorate General of Taxes. This research uses the Partial Least Square-Structural Equation Modeling analysis technique based on primary data sourced from an online questionnaire survey of employees of the Directorate General of Taxes from various levels of positions at Tax Service Offices in the DKI Jakarta area and its surroundings and a sample of 52 observations was obtained. The research concludes that public structural and relational capital positively impact organizational performance. Meanwhile, public human capital does not influence organizational performance. This study is expected to contribute to developing theory and practice not only to intellectual capital as an intangible asset but also to human resource management, organizational infrastructure, and external relations in the context of public services. In addition, the findings of this study can serve as a basis for formulating policies and actions that can improve the effectiveness and efficiency of public institutions, as well as encourage further discussion regarding the management of intellectual capital to achieve more sustainable public sector organizational goals.
Does Capital Intensity Moderate The Effect Of Financial Distress And Operational Performance Tax Avoidance In Regional-Owned Enterprises In Water Supply?
Authors: Hapsari Diah Oktavia , Wibowo Puji
Published: May 2024

Tax avoidance is a legal practice by companies as an effort to reduce the tax burden distributed to the state. This is commonly done by companies, both private and government-owned. Regional-Owned Enterprises in Water Supply as a company owned by the Regional Government has a dual role, namely providing public goods and generating profits. This research aims to analyze the influence of financial difficulties, service effectiveness, and operational efficiency on tax avoidance with capital intensity as a moderating variable in Regional-Owned Enterprises in Water Supply. This research uses quantitative methods with secondary data obtained using documentation data collection methods. The sample in this study was selected based on purposive sampling and resulted in 117 companies spanning the period 2019-2022. The data analysis technique in this research uses multiple linear regression analysis using the Eviews version 12 program with a significance level of 5%. The results of this study show that financial difficulties and service effectiveness have a significant negative effect on tax avoidance, but operational efficiency has an insignificant positive effect on tax avoidance. The aggressiveness of Regional-Owned Enterprises in Water Supply towards tax avoidance is not as high as other organizations that are completely profit-oriented. This is possible because human resources do not understand taxation. In addition, direct supervision by the Regional Government makes management more alert to violations of statutory regulations. Capital intensity can weaken the influence of financial difficulties on tax avoidance and strengthen the influence of operational efficiency on tax avoidance. The greater the number of company fixed assets, the greater the depreciation expense, management can choose the depreciation method that is most profitable for the company.
Understanding The Influence Of Shadow Economy And Foreign Direct Investment On Corporate Tax Revenue In Latin America: The Moderating effect Of Corruption Control
Authors: Wiguna Yordan , Wijaya Suparna
Published: May 2024

Taxation is an essential mechanism that funds government expenditures and underpins the growth and development of any country. This research examines the influence of the shadow economy and foreign direct investment (FDI) on corporate income tax revenue in Latin America, considering the moderating role of corruption control. Using panel data regression analysis, we analyze data from various Latin American countries to explore the complex interactions between these economic factors and tax revenue. Our findings indicate that corruption control has a positive and significant effect on corporate income tax revenue. However, the relationship between the shadow economy and tax revenue changes when moderated by corruption control. Without moderation, the shadow economy positively impacts tax revenue, but in the presence of higher corruption control, it leads to reduced tax revenue. Similarly, while FDI initially shows a positive impact on tax revenue, this effect turns negative when considering corruption control. These findings shed light on the nuanced relationships between economic factors and tax revenue in Latin America, offering valuable insights for policy formulation and future research.
Prediction of Threat Detection using
Authors:   Computer Science Engineering, Maharaja Agrasen Institute of Technology, ML Shiwani
Published: May 2024

In today's tech-driven world, security concerns in public spaces are escalating. Closed-Circuit Television (CCTV) systems are common but managing their data overload is tough. Enter the "Automated Threat Recognition System," powered by deep learning, particularly YOLOv5. With real-time threat detection, it autonomously identifies aggression and violence swiftly, optimizing security monitoring and saving time and resources. This system is crucial for effectively tackling modern security challenges. Index Terms- Colab, Kaggle, Makesense.AI, Yolov5, OpenCv, numpy
SOLAR GRASS CUTTER: HARNESSING RENEWABLE ENERGY FOR SUSTAINABLE LAWN MAINTENANCE
Authors:   Electronics and Telecommunications & Manjara Charitable Trust’s Rajiv Gandhi Institute of Technology, Ahire Swaraj
Published: May 2024

In the realm of sustainable landscape management, the imperative to reduce environmental impact while enhancing efficiency is paramount. This paper presents a pioneering approach to address these challenges through the development of the Solar Grass Cutter. Grounded in the fusion of renewable energy technology and innovative design, our objective is to revolutionize traditional lawn maintenance practices by introducing a comprehensive system that harnesses solar power to trim grass effectively and sustainably. At its core, the Solar Grass Cutter represents the convergence of modern engineering with environmental concern. This device provides a disruptive solution by combining solar panels with precision cutting mechanisms, reducing reliance on fossil fuels and the carbon emissions associated with traditional lawn care equipment. Key features of the Solar Grass Cutter include: 1.Renewable energy utilization: Leveraging solar power, the system operates autonomously, reducing dependence on non-renewable energy sources and mitigating environmental impact. 2.Efficient grass cutting: Through innovative design and engineering, the Solar Grass Cutter ensures precise and efficient grass trimming, optimizing resource utilization and minimizing waste. 3.Environmental stewardship: By adopting sustainable practices, the Solar Grass Cutter promotes environmental stewardship, contributing to the preservation of ecosystems and biodiversity. In essence, the Solar Grass Cutter represents an evolutionary leap in lawn maintenance, bringing technological innovation together with environmental responsibility. It represents a dedication to sustainable behaviours as well as a vision for a greener future in which human inventiveness and environmental consciousness combine to improve our planet’s health. Key Words: Solar Grass Cutter, Renewable Energy, Sustainable Lawn Maintenance, Precision Cutting, Environmental Stewardship, Technological Innovation.
Affecting and Success factors to implement Total Quality Management in Industries
Authors:   Mechanical, Sanjay Ghodawat University,Kolhapur, Dhawan Ajay P
Published: May 2024

Total quality management (TQM) is an integrated management philosophy aimed at continuously improving the quality of products and processes to achieve better customer satisfaction. It has been accepted by managers and quality practitioners as a change management quality approach and plays a vital role in the development of management practices. TQM is an approach to improve effectiveness, flexibility, and competitiveness of a business to meet customers' requirements, as a source of sustainable competitive advantage, as a source of attaining excellence, creating a right first-time attitude, acquiring efficient business solutions, and delighting customers and suppliers [2].. Key Words: TQM, Dimensions, implementation, tools and techniques
Speech Emotion Recognition Using ANN
Authors:   Department of CSE JNN College of Engineering,, G Apeksha
Published: May 2024

The speech is the most effective means of communication, to recognize the emotions in speech is the most crucial task. In this paper we are using the Artificial Neural Network to recognize the emotions in speech. Hence, providing an efficient and accurate technique for speech based emotion recognition is also an important task. This study is focused on seven basic human emotions (angry, disgust, fear, happy, neutral, surprise, sad). The training and validating accuracy and also lose can be seen in a graph while training the dataset. According to it confusion matrix for model is created. The seven features Frequency, Pitch, Amplitude and formant of speech is used to recognize seven basic emotions from speech. Keywords: Emotion detection, Emotion classification, verbal emotion classification.
Review Paper on Self-Acting Programmable Load Shedding System
Authors:   E&TC Department, GSMCOE Bhavna Gaikwad, E&TC Department, GSMCOE Akanksha Jadhav, E&TC Department, GSMCOE, Sankpal Prof. Aishwarya
Published: May 2024

Electricity is one of the most important needs of today's civilization. Without this, many unnecessary applications will grind to a halt. As we all know, the demand for electricity is increasing. For this reason, energy companies tend to load when demand exceeds supply. Therefore, there is a need for precise measurement of specific time in distribution. Self- Acting programmable load shedding system is a reliable and effective load shedding technology that takes over the manual work of turning power on/off according to time. Distribution substations can be monitored open and closed in certain locations. Keywords: load shedding, real time clock (RTC)
Advancement in AI-Based Devices for Monitoring Heart Health in Patients with Cardiac Conditions
Authors:   Department of Computer Science and Engineering  Chandigarh University Mohali, Punjab, Anand Naitik
Published: May 2024

In the contemporary landscape of cardiac healthcare, the integration of Artificial Intelligence (AI) into monitoring devices represents a groundbreaking shift towards enhancing patient outcomes and streamlining the management of heart health. This review paper delves into the burgeoning domain of AI-based devices designed for the meticulous monitoring of heart patients, elucidating the methodologies behind their operation, the breadth of their applications, and the palpable impact they have had on both clinical practices and patient experiences. Through a meticulous selection and analysis of current studies, we uncover the transformative capabilities of AI technologies in detecting and predicting heart-related anomalies, offering a personalized approach to cardiac care. The findings underscore the paramount importance of AI in facilitating early intervention, reducing the incidence of heart-related morbacies, and ultimately, charting a course towards a more responsive and adaptive healthcare ecosystem. The significance of this review lies not only in its comprehensive synthesis of existing research but also in its exploration of future potentials, highlighting the ongoing evolution of AI as a pivotal ally in the quest for improved heart health monitoring. This paper aims to contribute to the academic and medical discourse surrounding AI applications in healthcare, offering insights that may guide future innovations and research directions. Keywords--- AI-driven Cardiac Monitoring, Wearable Health Technology, Remote Heart Health Monitoring, Smart Health Devices, Cardiovascular Disease Management, Machine Learning in, Cardiology, Digital Health Solutions, Real-time Heart Health Analytics, Sensor Technology in Cardiac Care, Patient-Centric Heart Monitoring, AI-based Cardiac Diagnostics, Continuous Heart Rate Monitoring, Mobile Health Applications, Personalized Cardiac Care, Telemedicine in Cardiology.
DECENTRALIZED QUANTUM COMPILATION FRAMEWORK: EMPOWERING DISTRIBUTED QUANTUM COMPUTING THROUGH MODULARITY
Authors:   Dhanalakshmi Srinivasan        Engineering College(Autonomous)      Perambalur ,Tamilnadu,India, K Aswin
Published: May 2024

Quantum algorithms require large resources in terms of qubit number, much larger than those available with current NISQ processors. With the network and communication functionalities provided by the Quantum Internet, Distributed Quantum Computing (DQC) is considered as a scalable approach for increasing the number of available qubits for computational tasks. For DQC to be effective and efficient, a quantum compiler must find the best partitioning for the quantum algorithm and then perform smart remote operation scheduling to optimize EPR pair consumption. At the same time, the quantum compiler should also find the best local transformation for each partition. In this paper we present a modular quantum compilation framework for DQC that takes into account both network and device constraints and characteristics. We implemented and tested a quantum compiler based on the proposed framework with some circuits of interest, such as the VQE and QFT ones, considering different network topologies, with quantum processors characterized by heavy hexagon coupling maps. We also devised a strategy for remote scheduling that can exploit both TeleGate and TeleData operations and tested the impact of using either only TeleGates or both. The evaluation results show that TeleData operations may have a positive impact on the number of consumed EPR pairs, while choosing a more connected network topology helps reduce the number of layers dedicated to remote operations. Keywords— Distributed quantum computing (DQC), quantum compilation, quantum Internet
HUMAN STRESS LEVEL IDENTIFICATION USING MACHINE LEARNING ALGORITHMS BASED ON SLEEPING PATTERNS
Authors:   Department of ECE,N.B.K.R.Institute of Science and Technology,Tirupati District,AndhraPradesh ,India, P Smt.  Padmavathi
Published: May 2024

Stress is a mental or emotional state brought on by demanding or unavoidable circumstances, also referred to as stressors. In order to prevent any unfavorable occurrences in life, it is crucial to understand human stress levels. Sleep disturbances are related to a number of physical, mental, and social problems. This study's main objective is to investigate how human stress might be detected using machine learning algorithms based on sleep-related behaviors. The obtained dataset includes various sleep habits and stress levels. Six machine learning techniques, including Multilayer Perception (MLP), Random Forest, Support Vector Machine (SVM), Decision Trees, Naïve Bayes and Logistic Regression were utilized in the classification level after the data had been preprocessed in order to compare and obtain the most accurate results. Based on the experiment results, it can be concluded that the Decision tree algorithm, when used to classify the data, can do so with 93.27% accuracy, high precision, recall, and f1measure values, as well as the lowest mean absolute error (MAE) and root mean squared error rates (RMSE). We can estimate human stress levels using the study's findings, and we can address pertinent problems as soon as possible.
DESIGN AND ANALYSIS OF PRESSURE VESSEL USING DIFFERENT MATERIALS
Authors:   Department of Mechanical Engineering N.S.R.I.T(A),Visakhapatnam Andhra pradesh, India, K .Abhinash
Published: May 2024

This project explores the field of Finite Element Analysis (FEA) in relation to pressure vessels that have different head configurations, while ensuring that the cylindrical volume and thickness remain uniform. The project adheres to ASME standards, specifically Section VIII, Division I, and focuses on designing a pressure vessel that can withstand a pressure of 8 bar within a volume of 24 liters. The main objective of using FEA is to identify areas of stress concentration in each head design. In industrial settings, pressure vessels play a crucial role in containing fluids or gases under varying pressures. The choice of head configuration significantly impacts the distribution of stress and the overall structural strength. This project specifically utilizes ANSYS software for static and thermal analyses to compare stress distribution in pressure vessels with flat heads, elliptical heads, and other common head designs. The goal is to identify configurations that exhibit lower stress levels, with a particular emphasis on practical scenarios that favor elliptical heads. Additionally, the project explores finite element modeling techniques to evaluate pressure vessels made from different materials such as Nimonic 80A and SA516 Gr70 under high-stress conditions
FABRICATION AND ANALYSIS OF AUTOMATIC LINEAR DISTANCE ADJUSTER
Authors:   Department of Mechanical Engineering, Nadimpalli Satyanarayana Raju Institute of Technology, Visakhapatnam., Kumar Mr. J.Likhin
Published: May 2024

The Automatic linear distance adjustment system tailored for robotics arms, capitalizing on ultrasonic sensor technology. The system's design, implementation, and evaluation are comprehensively explored, highlighting its ability to facilitate precise and autonomous adjustments of linear positions within the robotic arm's operational envelope. Real-time feedback mechanisms are integrated, enabling dynamic regulation of the distance between the end-effector and target objects or surfaces. This ensures optimal positioning and operational efficiency during various tasks such as pick-and-place operations, assembly processes, and object manipulation. By reducing reliance on manual adjustments, the system enhances automation and augments robotics arms' capabilities across diverse industrial and research applications. The seamless integration of the proposed system empowers robotics arms with heightened flexibility, accuracy, and adaptability, thereby fostering advancements in robotic automation and control. This innovation holds promise for streamlining manufacturing processes, enhancing productivity, and facilitating intricate tasks that demand precision and efficiency in robotic operations. Through rigorous evaluation and validation, the system demonstrates its potential to revolutionize robotic arm functionalities and pave the way for future developments in automation technologies Keywords: Arduino Uno , Ultrasonic sensor,Stepper Motor, Linear guide rail .
Analyzing the Relationship between Real Estate Investments and Portfolio Diversification
Authors:   Galgotias University, SARAL KUNIKA
Published: May 2024

Real estate has long been considered an attractive investment option for individuals and institutions seeking to build wealth and diversify their portfolios. Unlike traditional investment vehicles such as stocks and bonds, real estate offers unique characteristics that can potentially enhance returns and mitigate risk. This analysis aims to explore the role of real estate investments in portfolio diversification and assess their potential impact on overall portfolio performance. Portfolio diversification is a fundamental principle in investment management, as it helps to spread risk across different asset classes and mitigate the impact of market fluctuations on a portfolio's overall value. By including assets with low or negative correlations, investors can reduce the volatility of their portfolios and potentially achieve higher risk-adjusted returns. Real estate investments, including direct property ownership, real estate investment trusts (REITs), and other real estate-related securities, have traditionally exhibited low correlations with other asset classes, such as equities and bonds. This low correlation can be attributed to the unique characteristics of real estate, including its tangible nature, the presence of rental income streams, and the potential for capital appreciation. Furthermore, real estate investments can provide a hedge against inflation, as property values and rental rates tend to increase during periods of rising prices. This feature makes real estate an attractive diversification option, particularly for investors seeking to protect their portfolios from the eroding effects of inflation. This analysis will delve into the historical performance of real estate investments, examine their risk and return characteristics, and evaluate their potential contribution to portfolio diversification. By examining empirical data and leveraging portfolio optimization techniques, we aim to provide insights into the optimal allocation of real estate investments within a diversified portfolio.
PEDESTRIAN ALERT SYSTEM USING DEEP LEARNING
Authors:   Department of Information Technology  Tirumala Engineering College, K GOPI
Published: May 2024

Pedestrian detection is an essential and significant task in any intelligent video surveillance system, as it provides the fundamental information for semantic understanding of the video footages. It has an obvious extension to automotive applications due to the potential for improving safety systems. Many car manufacturers (e.g., Volvo, Ford, GM, Nissan) offer this as an ADAS option in 2017. It is used in many cars and vehicles for automatic driver assistance systems. But when the ADAS system detects pedestrians but if fails to apply brakes on time accidents might happened. To overcome this situation our project provides an audio alert to the human passengers or driver in the vehicle so that they can apply manual brakes. In this project we will require Python libraries such as Pytorch and OpenCV. Pytorch is a widely used Machine Learning library. It is popular for the YOLO (You Only Look Once) algorithm which is built for Object Detection, we are using the YOLO algorithm and customize it to detect objects on a pedestrian dataset. Python has a library pyttsx3, that is capable to convert text-to-speech offline. Itextracts the label from the detected pedestrians in the video and converts the text label into speech. The algorithm detects the pedestrians when they are in a close approach to the vehicles and sends the identifies labels to the pyttsx3 speaker engine. An audio alert is generated by the engine and alerts the passengers or drivers. Keywords - YOLO, Pytorch, Pyttsx3, Object Detection, Python.
Working of E-Ticketing for Public Buses
Authors:   Assistant Professor, Dept. of I.T., P.E.S Modern College of Engineering, Savitribai Phule Pune University, Maharashtra, India., Kulkarni Sampada
Published: May 2024

The transition from manual, cash-based ticketing procedures to a cutting-edge digital system represents a pivotal advancement in modernizing India's public bus transportation. This research paper delves into the working model of e-ticketing for public buses, aimed at addressing long-standing challenges of wait times, operational hurdles, and inefficiencies inherent in traditional systems. By leveraging state-of-the-art digital technology, this initiative aims to revolutionize the public transportation experience, enhancing security, convenience, and operational efficiency for both administrators and passengers. Thus, to provide an agile and smooth ticketing experience, we have proposed the smart application. [4] Key objectives of this research include the elimination of manual cash transactions, reduction of wait times, and mitigation of operational inefficiencies. Through the implementation of a digital ticketing system, the paper explores how transaction processes are streamlined, providing passengers with a seamless interface for ticket purchases. Not only does this innovation enhance transaction security, but it also fosters a more agile and responsive public bus transportation system. The research assesses the tangible benefits of the digital ticketing solution, highlighting its role in increasing passenger flexibility and reducing congestion through shorter wait times and improved traffic flow. Real-time data analytics are examined as a critical tool for administrators, enabling enhanced resource allocation and informed decision-making processes. This paper presents a comprehensive analysis of the working model of e-ticketing for public buses, offering insights into its functionality, implementation challenges, and the transformative impact it has on India's public transport sector. By promoting a more sophisticated and user-friendly framework, the research underscores the potential of digital ticketing solutions to redefine the landscape of public transportation, paving the way for a more efficient and accessible urban mobility system in India. Key Word: E-ticketing, Public buses, Digital technology, Operational efficiency, Urban mobility
GOVERNMENT SCHEME SPECULATION SYSTEM
Authors:   Assistant Professor, Dept of CSE, Dhanalakshmi Srinivasan Engineering College, Perambalur –621212., T GEETHA
Published: May 2024

The public authority presents a ton of plans for general society, however a large number of them don't fulfill every one individuals. They think their thought is superior to else's. Individuals might communicate their complaints, however it depends on the public authority to conclude which plan to execute. Individuals might feel like their complaints are not being heard and that their thoughts are not considered, at the end of the day, settling on the most ideal choice for everyone is the public authorities. This venture's purpose is to focus on open ideas and afterward carry out the new plan. The Chatbot-Based Government Plan Hypothesis Framework presents a creative way to deal with upgrade resident commitment and availability to government plans. In this framework, chairmen are enabled to enter plot subtleties, view appraisals, and examine client ideas, cultivating straightforwardness and responsibility. A critical element of the framework is the reconciliation of a complex chatbot, utilizing normal language handling to determine client questions and give itemized data about government plans. Residents can undoubtedly interface with the chatbot to ask about qualification standards, application strategies, and other plan related subtleties, smoothing out the most common way of getting to essential data. By joining managerial functionalities with client driven chatbot help, the framework expects to overcome any barrier among residents and government plans, at last advancing more noteworthy interest and comprehension of public drives. Keywords: Privacy Preserving, E-Government, middle-man attack, Government plan Hypothesis framework (GHF)
IOT based Smart Plant Monitoring System and Control System
Authors:   Atharva College of Engineering, Mumbai, India, Avhad Abhishek
Published: May 2024

The world is now fully dependent on the internet and the Internet of Things (IoT), which is the inter-networking of physical devices embedded with electronics, sensors, software and network connectivity. IoT enables physical devices to exchange data with the manufacturer and achieve greater value and services. Agriculture is the backbone of many countries, but water scarcity is a major issue in this field. To overcome this problem, the irrigation process can be automated using IoT. By using sensors, the temperature, humidity, and light can be measured, and appropriate processing can be performed based on the outcome. This helps in reducing water wastage and improving accuracy, economic benefits, and efficiency while reducing human intervention. This paper highlights the importance of IoT in day-to-day life, its scope in the future, and its potential applications in farming methods. To demonstrate the use of IoT in agriculture, we present the Automatic Watering System, which monitors and maintains the moisture content in the soil using temperature, humidity, and moisture sensors. The Arduino UNO microcontroller is used as the control unit, regulating the appropriate amount of water to avoid over/under irrigation. Keywords – sensors, temperature, humidity, soil moisture, Arduino uno
Pros and cons of E- learning
Authors:   School of Finance & Commerce GALGOTIAS UNIVERSITY, Ananad Anurag
Published: May 2024

This is the most important area where majority of the students get confused and have number of doubts. Therefore, it is advised that the student should discuss the topic with the concerned guidesA learning system based on formalised teaching but with the help of electronic resources is known as E-learning. While teaching can be based in or out of the classrooms, the use of A learning system based on formalised teaching but with the help of electronic resources is known as E-learning. While teaching can be based in or out of the classrooms, the use of computers and the Internet forms the major compon INTRODUCTION: E-learning, short for electronic learning, is the process of learning via electronic devices, typically over the internet. It encompasses various forms of educational activities conducted online, including: Online Courses: These are courses delivered entirely over the internet, often through platforms like Coursera, Udemy, or Khan Academy. They can cover a wide range of subjects and are usually self-paced. Virtual Classrooms: These simulate traditional classrooms but take place online. Students and teachers interact in real-time through video conferencing tools like Zoom or Google Meet. Webinars: These are seminars conducted over the web, usually in the form of presentations, workshops, or lectures. Participants can interact with the presenter through chat or Q&A sessions. Mobile Learning: Learning materials are delivered through mobile devices, such as smartphones and tablets, allowing learners to access content anytime, anywhere. Gamification: Educational content is presented in the form of games to engage learners and enhance retention.
Data Security and Consumer Trust in Fintech Innovations using Technology Adoption Method
Authors:   CMS Business School, JAIN (deemed to be) University, SINGH NIDHI
Published: May 2024

This study investigates the interplay between data security and consumer trust in the context of fintech innovation, employing the Technology Adoption Model (TAM) as the theoretical framework. Fintech, characterized by its rapid technological advancements, has revolutionized traditional financial services, offering convenience and efficiency. However, concerns about data security and privacy have emerged as significant barriers to consumer adoption and trust. The research methodology involves a comprehensive literature review to establish the theoretical foundation and empirical analysis of consumer perceptions through surveys and interviews. The TAM framework, which examines users' attitudes and behaviors towards technology adoption, serves as a lens to understand how data security measures influence consumer trust in fintech platforms. Results indicate that consumers prioritize data security and privacy when evaluating fintech services, with perceptions of security significantly impacting trust levels. Factors such as encryption protocols, authentication mechanisms, and regulatory compliance play crucial roles in shaping consumer perceptions of data security. Additionally, transparency and communication regarding data handling practices enhance trust and mitigate concerns. The study identifies the role of user experience design in fostering trust, as intuitive interfaces and clear privacy policies contribute to perceived security. The findings underscore the importance of proactive measures by fintech companies to address data security concerns, including robust cybersecurity protocols, regulatory compliance, and transparent communication strategies. The study highlights the intricate relationship between data security and consumer trust in fintech innovation, emphasizing the need for comprehensive approaches to mitigate risks and build consumer confidence. By understanding and addressing consumer perceptions and concerns, fintech companies can enhance trust and drive widespread adoption of innovative financial technologies. Keywords: fintech, adoption, security, trust, inclusion, investment, payment, insurance, technology, efficiency, innovation.
DESIGN AND FABRICATION OF SMART AGRICULTURE SPRAYER
Authors:   Student of Mechanical Engineering Department, Nadimpalli Satyanarayana Raju Institute of Engineering and Technology (Autonomous), Visakhapatnam – 531173., K .VENKATESH
Published: May 2024

The aim of this project is to create an intelligent spraying robot that will decrease pesticide use and human health damage, allowing farmers to be protected and labour intensity can be reduced. More than 60 percent of the population in India do agriculture as the primary sector occupation. At present, due to increase in shortage of labour, interest has raised for the development of the autonomous vehicles like robots in the agriculture field. A system called “Design and Fabrication of Smart Agricultural Sprayer” has been designed to minimize the labour cost of farmers in addition to increasing the speed and accuracy of the work. The Proposed system is designed with the multipurpose autonomous agricultural Smart vehicle which can be controlled through ESP module, for spraying pesticide on the plants but not in free space, The project was tested on the field, The robot is successfully able to move in all the direction. Pesticide spraying unit is capable of spraying pesticide only on the plant not in the free space.