bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengembangan Lembar Kerja Peserta Didik Menggunakan Model Pembelajaran Problem Based Learning Pada Materi Barisan dan Deret Aritmatika di Kelas XI SMA Gajah Mada Medan
Authors: Nicomse Nicomse , Tambunan Lasma Warni
Published: March 2024

Penelitian ini merupakan jenis penelitian pengembangan yang bertujuan untuk mengembangkan Lembar Kerja Peserta Didik (LKPD) yang valid, efektif, dan praktis dengan menggunakan model pembelajaran Problem Based Learning (PBL) pada materi barisan dan deret aritmatika. Penelitian ini menggunakan model penelitian dan pengembangan oleh Sugiyono yang terdiri dari tujuh langkah yaitu: 1) Potensi dan Masalah, 2) Mengunpulkan Informasi, 3) Desain Produk, 4) Validasi Desain, 5) Revisi Desain, 6) Uji Coba Produk dan 7) Revisi Produk. Instrumen penilaian produk yang digunakan dalam penelitian ini terdiri dari: lembar validasi, lembar kepraktisan dan lembar keefektifan. Hasil penelitian menunjukkan bahwa pengembangan LKPD menggunakan model pembelajaran PBL valid dengan memperoleh nilai rata-rata validasi dari ahli materi sebesar 92,2% dan nilai rata-rata validasi dari ahli media sebesar 93,8% dengan kategori sangat valid. Penilaian respon peserta didik terhadap kepraktisan LKPD sebesar 86,5% dengan kategori sangat praktis dan tahap uji atau tes akhir peserta didik sebagai respon terhadap keefektifan LKPD sebesar 85% dengan kategori sangat efektif. Berdasarkan hasil penelitian tersebut dapat disimpulkan bahwa LKPD dengan menggunakan model pembelajaran PBL yang dikembangkan oleh peneliti telah layak digunakan dalam membantu proses pembelajaran pada materi barisan dan deret aritmatika.
Penerapan Model Pembelajaran Think Pair Share (TPS) Untuk Meningkatkan Kemampuan Pemecahan Masalah Matematis Peserta Didik Pada Materi Segitiga Di Kelas VII SMP Methodist 9 Medan T.A. 2021/2022
Authors: Nicomse Nicomse , Simbolon Swita Ayu
Published: March 2024

Penelitian ini bertujuan untuk meningkatkan kemampuan pemecahan masalah matematis peserta didik pada materi segitiga di kelas VII SMP Methodist 9 Medan T.A 2021/2022. Jenis penelitian ini adalah Penelitian Tindakan Kelas (PTK). Subjek dalam penelitian ini yaitu seluruh peserta didik di kelas VII SMP Methodist 9 Medan. Sedangkan objek dalam penelitian ini yaitu penggunaan model pembelajaran Think Pair Share (TPS) untuk meningkatkan kemampuan pemecahan masalah matematis peserta didik. Penelitian ini dilakukan hanya pada satu kelas. Instrumen penelitian ini observasi dan tes. Berdasarkan analisis data kemampuan pemecahan masalah matematis peserta didik yang dilaksanakan diperoleh hasil observasi aktivitas siswa saat proses pembelajaran yaitu 91,18% dalam kategori sangat aktif, tercapainya ketuntasan belajar siswa secara klasikal yaitu terdapat 85% siswa memperoleh persentase penilaian hasil ≥ 65, tercapainya ketuntasan belajar siswa secara individual dengan memperoleh proporsi jawaban benar siswa ≥ 65, terdapat pertambahan rata-rata persentase kemampuan pemecahan masalah matematis peserta didik pada siklus I yaitu 63,38% dan siklus II yaitu 79,41%. Hal ini berarti pembelajaran yang dilaksanakan telah berhasil, maka dapat disimpulkan bahwa model pembelajaran Think Pair Share (TPS) dapat meningkatkan kemampuan pemecahan masalah matematis peserta didik pada materi segitiga di kelas VII SMP Methodist 9 Medan T.A 2021/2022.
Pembelajaran Dengan Model Problem Based Learning (PBL) Terhadap Kemampuan Berpikir Kritis Matematis Dan Kemampuan Pemecahan Masalah Matematis Siswa Pada Materi SPLDV Kelas VIII SMP Negeri 1 Sipahutar
Authors: Nicomse Nicomse , Napitupulu Lilis
Published: March 2024

Penelitian ini bertujuan untuk mengetahui pengaruh model pembelajaran problem based learning terhadap kemampuan berpikir kritis matematis siswa dan kemampuan pemecahan masalah matematis siswa pada materi SPLDV kelas VIII SMP Negeri 1 Sipahutar. Jenis penelitian ini adalah quasi exsperimen dengan populasi seluruh kelas VIII SMP Negeri 1 Sipahutar. Sampel dalam penelitian terdiri dari 1 kelas (n=30). Teknik pengambilan sampel dalam penelitian ini adalah Simple random sampling. Uji hipotesis penelitian menggunakan uji F. Hasil penelitian menujukkan bahwa (1). Ada pengaruh pembelajaran dengan model problem based learning terhadap kemampuan berpikir kritis matematis siswa (2). Besar pengaruh pembelajaran dengan model problem based learning terhadap kemampuan berpikir kritis matematis siswa adalah 12,88% (3). Ada pengaruh pembelajaran dengan model problem based learning tehadap kemampuan pemecahan masalah matematis siswa (4). Besar pengaruh model pembelajaran problem based learning terhadap kemampuan pemecahan masalah matematis siswa adalah 12,53%.
Analisis Keterkaitan Minat Belajar Dan Motivasi Belajar Dalam Proses Pemahaman Konsep Matematika
Authors: Setyani Nur Arif
Published: March 2024

Abstract

This article discusses the analysis of interest in learning and learning motivation from the aspect of type, functions, and characteristic. The collected data were obtained from several journals and books which were then processed and presented in a qualitative descriptive. The results of the study that: first, interest in act based on activities to do an activity well, where someone said to be interested in an activity if there an interesting experience with the activity, then motivation is behavior that has a goal. Second, the difference between interest and motivation can be seen on terms of definition, interest is followed by a sense of interest or liking those activity can occur at the beginning of the activity, or at the end of the event, while motivation is activity that is only carried out to achieve a goal, this can be influenced by interest or not. Third, interest, motivation, or interest and motivation can affect students understanding of mathematical concepts.

Keyword: interest, motivation, concept understanding.

 

Abstrak

Artikel ini membahas tentang analisis pengaruh minat, motivasi, serta minat dan motivasi belajar dalam terpenuhinya pemahaman konsep matematika siswa. Data yang terkumpul diperoleh dari beberapa jurnal dan buku serta penelitian yang kemudian diolah dan disajikan secara deskriptif kualitatif. Hasil penelitian bahwa: pertama, minat bertindak berdasarkan aktivitas untuk melakukan suatu aktivitas dengan baik, dimana seseorang dikatakan tertarik pada suatu aktivitas jika ada pengalaman yang menarik dengan aktivitas tersebut, maka motivasi adalah perilaku yang memiliki tujuan. Kedua, perbedaan minat dan motivasi dapat dilihat dari pengertiannya, minat diikuti oleh rasa tertarik atau menyukai kegiatan tersebut dapat terjadi pada awal acara, atau pada akhir acara, sedangkan motivasi adalah kegiatan yang hanya dilakukan untuk mencapai suatu tujuan, hal ini dapat dipengaruhi oleh minat atau tidak. Ketiga, minat, motivasi, serta minat dan motivasi dapat mempengaruhi pemahaman konsep matematika siswa.

Kata Kunci: minat, motivasi, pemhaman konsep
ANALISIS KEMAMPUAN BERPIKIR KRITIS MATEMATIS PADA MATERI PECAHAN
Authors: Hikmah Nurul
Published: March 2024

Penelitian ini bertujuan untuk menganalisis kemampuan berpikir kritis tinggi, sedang dan rendah siswa dengan  menggunakan 4 indikator berpikir kritis, yaitu mengidentifikasi, menggeneralisasi, merumuskan masalah kedalam model matematika dan mendeduksi pada kelas VII SMP pada materi pecahan. Penelitian ini merupakan penelitian kualitatif yang dirancang untuk mengetahui kemampuan berpikir kritis subjek berdasarkan tes kemampuan berpikir kritis sebanyak 2 soal esay. Berdasarkan hasil analisis pada penelitian ini menunjukan bahwa hasil kemampuan berpikir kritis sebagian besar siswa adalah rendah dengan persentase sebanyak 54% siswa berkemampuan kritis rendah, kemudian sebanyak 26% siswa berkemampuan  kritis sedang dan 20% siswa berkemapuan  kritis tinggi.
Influence of pre-processing methods on the automatic priority prediction of native-language end-users’ maintenance requests through machine learning methods
Authors: D’Orazio Marco , Bernardini Gabriele , Di Giuseppe Elisa
Published: March 2024

Feedback and requests by occupants are relevant sources of data to improve building management, and building maintenance. Indeed, most predictable faults can be directly identified by occupants and communicated to facility managers through communications written in the end-users’ native language. In this sense, natural language processing methods can support the request identification and attribution process if they are robust enough to extract useful information from these unstructured textual sources. Machine learning (ML) can support assessing and managing these data, especially in the case of many simultaneous communications. In this field, the application of pre-processing and ML methods to English-written databases has been widely provided, while efforts in other native languages are still limited, impacting the real applicability. Moreover, the performance of combinations of methods for pre-processing, ML and classification classes attribution, has been limitedly investigated while comparing different languages. To fill this gap, this work hence explores the performance of automatic priority assignment of maintenance end-users’ requests depending on the combined influence of: (a) different natural language pre-processing methods, (b) several supervised ML algorithms, (c) two priority classification rules (2-class versus 4-class), (d) the database language (i.e. the original database written in Italian, the native end-users’ language; a translated database version in English, as standard reference). Analyses are performed on a database of about 12000 maintenance requests written in Italian concerning a stock of 23 buildings open to the public. A random sample of the sentences is supervised and labelled by 20 expert annotators following the best-worst method to attribute a priority score. Labelled sentences are then pre-processed using four different approaches to progressively reduce the number of unique words (potential predictors). Five different consolidated ML methods are applied, and comparisons involve accuracy, precision, recall and F1-score for each combination of pre-processing action, ML method and the number of priority classes. Results show that, within each ML algorithm, different pre-processing methods limitedly impact the final accuracy and average F1-score. In both Italian and English conditions, the best performance is obtained by NN, LR, SVM methods, while NB generally fails, and by considering the 2-class priority classification scale. In this sense, results confirm that facility managers can be effectively supported by ML methods for preliminary priority assessments in building maintenance processes, even when the requests database is written in end-users’ native language.
Integration of BIM data and real-time game engine applications: Case studies in construction safety management
Authors: Zaman Ahmad Akib Uz , Abdelaty Ahmed , Sobuz Md. Habibur Rahman
Published: March 2024

Building Information Modeling (BIM) has unique features that improve safety management in construction by visually identifying potential risks. Integrating BIM with a real-time game engine is a cutting-edge idea for more effective safety management. This study aims to conduct two case studies by integrating BIM data with game engines from two aspects: 1) Construction Safety Training and 2) Pre-construction Safety Management. A framework that covers techniques for extraction of safety ideas, managing the game engine, and character modeling tools and resources is used to carry out the case studies. In the first case study, a construction site was created by Revit, and a real-life scaffolding failure accident was simulated by Unity to warn workers to prevent similar future events. The second case study was conducted on the procedure of evacuation modeling in an emergency, integrating a BIM model and Unity following distinct pathways. This evacuation modeling can be used as a training platform for the occupants to acquaint themselves with the inside facility, show directions of the shortest evacuation path from specific points, and provide necessary information on emergency equipment. Finally, the study explains how the integration of the BIM model and game engine applications can be applied for effective, straightforward, and helpful safety management with the most efficient BIM data transition.
Reputation Without Practice? A Dynamic Computational Model of the Unintended Consequences of Open Scientist Reputations
Authors: Linde Maximilian , Pittelkow Merle-Marie , Schwarzback Nina , van Ravenzwaaij Don
Published: March 2024

Practicing open science can have benefits for the career prospects of individual researchers or labs through higher quality work and increased chances of publication. However, being an outspoken advocate of open science might also indirectly benefit individual scientific careers, in the form of status in a scientific community, decisions for tenure, and eligibility for certain kinds of funding. Therefore, it may be profitable for individual labs to appear to engage in open science practices, without actually putting in the associated effort or doing only the bare minimum. In this article, we explore two types of academic behavior through a dynamic computational model (cf. Smaldino & Mcelreath,2016) of an academic community that rewards open science: (1) practicing open science and/or (2) advocating open science. Crossing these two types of behavior leads to four different kinds of labs and we examine which of them thrive in this academic community. We found that labs that practice and advocate open science dominate in a scientific community that values open science. Implications of the model results are discussed.
PENGARUH PEMBERIAN PAKAN MAGGOT BASAH DAN MAGGOT KERING TERHADAP PERTUMBUHAN BENIH IKAN GABUS (Channa striata)
Authors: Suherman Dhea Rahfaningrum , Christiana Ivone , Wirabakti Murrod Candra , Tantulo Uras , Yulintine Yulintine
Published: March 2024

Penelitian ini bertujuan untuk mengetahui apakah pemberian pakan maggot basah dan maggot kering berpengaruh terhadap pertumbuhan benih Ikan Gabus (Channa striata). Selain itu, juga untuk mengetahui perlakuan mana yang paling baik pengaruhnya terhadap pertumbuhan benih Ikan Gabus (Channa striata). Metode yang digunakan adalah metode eksperimen dengan menggunakan Rancangan Acak Lengkap (RAL) dengan 3 perlakuan dan 3 ulangan. Perlakuan yang digunakan adalah A (pakan maggot basah 100%), B (pakan maggot basah 50% dan maggot kering 50%), dan C (pakan maggot kering 100%). Hasil penelitian menunjukkan bahwa pemeberian pakan maggot basah dan maggot kering berpengaruh nyata terhadap pertumbuhan panjang dan berat benih Ikan Gabus (Channa striata), tetapi tidak berpengaruh nyata terhadap tingkat kelangsungan hidup benih Ikan Gabus (Channa striata). Dengan perlakuan terbaik terdapat pada perlakuan B dengan hasil pertumbuhan panjang sebesar 3,93 cm, pertumbuhan berat sebesar 4,03 g, tingkat kelangsungan hidup sebesar 93,33%, serta konversi pakan (FCR) sebesar 1,22.
Comment les jumeaux numériques vont révolutionner la gestion patrimoniale des usines
Authors: BIDEUX Gilles , VANDEN BOSSCHE Bertrand
Published: March 2024

L’utilisation de jumeaux numériques associés à de l’intelligence artificielle devient de plus en plus fréquente pour gérer les installations de production d’eau potable et de traitement des eaux usées. Depuis plusieurs années Suez propose aux collectivités une nouvelle manière d’appréhender la gestion de leur patrimoine qui va leur donner accès non seulement à une représentation virtuelle de la réalité du terrain, mais également à une connaissance accrue, source de données fiables pour une gestion patrimoniale maîtrisée.
«…Wishing to Take Due Precaution… and to Preserve the Honour and Decency of the Same City»: the Problem of the Sanitary Condition of 14th Century London and Attempts to Solve it
Authors: Leshtaev Dmitry V.
Published: March 2024

The article examines the problem of inadequate sanitary condition of the English capital in the 14th century and the attempts taken by official authorities – royal and municipal – to solve it, incl. against the backdrop of a plague epidemic. Based on the royal orders addressed to the London magistrate and the data from research literature, the author identifies and characterizes the main steps of the Crown and City administrations aimed at correcting the situation, considering, in particular, the history of the creation of two new cemeteries: East and West Smithfield and some controversial issues associated with it, for example, the problem of the authorship of the project, its implementation and the degree of the government’s participation in that. Estimates of the number, age and gender composition of the victims of the Black Death buried here are also provided. The results of the investigation lead the author to the conclusion that, despite its obvious significance, the issue of the neglected sanitary condition of London did not receive a comprehensive solution in the century under review, since it became relevant only if a critical level risked being reached, when, due to objective reasons, it could no longer be ignored. This also determined the impossibility of developing those few measures taken into a full-fledged state policy. At the same time, the need for changes in the field of municipal hygiene, aggravated by the epidemic, contributed to the intensification of public initiative, supported or directed by the monarch. Thus, a new impetus was given to the dialogue between the royal and municipal authorities in the development and implementation of a unified sanitation policy. In addition, addressing the topic under consideration is of great practical importance for reconstructing the picture of the daily life of a medieval city in an emergency and its preparedness for such trials making it possible to clarify the scale of the Black Death in London.
On Some Aspects of the Activity of the Ussr State Arbitration in 1946–1953
Authors: Bill Maris V.
Published: March 2024

For the Soviet Union, which won the Great Patriotic War and made a decisive contribution to the victory of the Allies in World War II, the post-war period was marked by the urgent need for a forced recovery of the economy suffering seriously as a result of significant human losses, the destruction of industrial enterprises, disruption in logistics links, the interruption of trade relations between various subjects of socialist economy. The State Arbitration of the USSR as a body with judicial and administrative functions became one of the state mechanisms to carry out the restoration process in the post-war Soviet economy. In this historical period the resolution of disputes between economic entities, as well as control over the execution of decisions on these disputes pursued the goal to ensure the smooth functioning and interaction of Soviet enterprises and institutions. Through the use of narrative, historical-comparative, chronological and statistical methods of historical research the article, based on a wide range of historical literature and archival sources introduced into scientific circulation for the first time, reveals an attempt to analyze the activities of the USSR State Arbitration in the period from 1946 to 1953, since during this period the activities of the body were directly related to restoration of the post-war Soviet economy. In order to identify the main activities of the USSR State Arbitration in the post-war period related to the restoration of the post-war Soviet economy, the paper pays great attention to the statistical data contained in archival sources. Noting the role of the USSR State Arbitration in the system of state authorities, with the activities aimed at the accelerated resolution of the economic tasks set, the article also reveals the work made to improve the State Arbitration’s own effectiveness. The article describes the historical situation in which State Arbitration had to function and develop after the Great Patriotic War.
Does Higher Institutional Quality Result in Environmental Sustainability? A Comparative Study of India and China
Authors: - Jaishree , - Satyanarayana Murthy Dogga , - Sejal Tejwani
Published: March 2024

There is a lack of comprehensive research comparing India and China in terms of institutional quality and environmental degradation. This special issue aims to make threefold distinct contributions. By comparing India and China, we can learn from each other's experiences and gain insight into the shared difficulties both nations face when trying to achieve environmental sustainability in the face of high-quality institutional frameworks. The impact of corruption, economic development, ecological risk, and renewable energy sources on carbon dioxide emissions in China and India is investigated in this study. For this reason, we also employ the ARDL model and pairwise Granger causality to prove that something caused another. Applying the ARDL long-run bound test, the empirical results reveal a long-run connection between variables in both China and India. In the case of China and India, the estimated results also reveal a negative correlation between carbon emissions and the usage of renewable energy sources, but a positive correlation between carbon emissions and economic growth, corruption, and environmental risk.
Improving institutional quality is the goal, and the present theoretical and applied discourse on comparative environmental sustainability is a good place to start. As a result, policymakers in China and India should oppose unfair practices that undermine competition laws and policies by instituting stringent anti-corruption measures and environmental rules. Energy efficiency measures that reduce carbon emissions without slowing economic growth should also be the government's primary focus.
The Reflection of Myth in Rick Riordan’s Percy Jackson Series and Amish Tripathi’s Shiva Trilogy
Authors: - Philips. E. Rubin , - Sudha. S , - Akshara Dinesh
Published: March 2024

Mythology is considered as a pillar of literature. In recent years it has regained its former glory of playing a pivotal role in the field of literature. Mythology and fiction have worked hand-in-hand to create some of the master pieces that of the past. Two such mythological works of the contemporary era are focused to correlate the world of reality and mythology and also to discover the reflection of myth in literature. Mythological works like Odyssey is recounted more as a historical fiction rather than fiction alone. In recent times, a series of novels focusing on the Greek mythology has been published and has achieved great appreciation from audience of all ages; Rick Riordan’s Percy Jackson series portrays the life of a teenage boy who is a half-blood, half-god and half-human.
Percy Jackson is a normal boy who spends his day being bullied and alone but soon he discovers that he is the son of an ancient god from the Greek myth, this is the plot of the first book from the series of novel and from there the story goes on to elaborate on the protagonist’s various endeavors interconnecting both the mythical world and the world as one see. Rick Riordan, an American author is best known for his work, the Percy Jackson series. The author has also taken the effort to portray the Greek Gods in a more sophisticated manner which blurs the line between them being gods or humans. The paper focuses on the inter-relation of the mythical world and the reality from the perspective of the Rick Riordan’s Percy Jackson series and Amish Tripathi’s, The Shiva trilogy.
Amish Tripathi is an upcoming prolific writer who has gained recognition for his debut novel. God Shiva of the Hindu mythology and unlike the actual myth the whole of novel is from a new and thought-provoking perspective of the writer. The main aim of the paper is to stress on the idea of how the contemporary authors utilize the age-old myth to weave a story that inter-mingles with myth and modern world.
Exploring the Interplay of Perceived Stress, Emotional/Social Loneliness, Isolation, and Fear of Negative Evaluation Among Young Adults
Authors: - ANNA THOMAS , - SOUMYA SIMON
Published: March 2024

This research explores the intricate relationships between perceived stress, emotional/social loneliness, isolation, and fear of negative evaluation among young adults. Utilizing a descriptive research design and a convenience sampling method, 110 participants aged 18-26 were surveyed using self-administered questionnaires. The study aims to identify potential predictors or moderators of these psychological states, contributing to a better understanding of their mental health and informing interventions to promote well-being. The results indicate that perceived stress is positively associated with fear of negative evaluation, social loneliness, and emotional loneliness, while fear of negative evaluation is positively associated with social loneliness and emotional loneliness. Moreover, social loneliness is positively associated with social isolation, and emotional loneliness is positively associated with emotional isolation. These findings highlight the complex relationships between these variables and underscore the importance of addressing them for the promotion of social and emotional well-being among young adults.
Sociosexual Orientation and Relationship Satisfaction among College Students
Authors: - NAYANA MARY JOHN , - MEGHA D. PRSAD , - REMA. M. K
Published: March 2024

Abstract: This qualitative investigation delves into the intricate interplay between sociosexual orientation and relationship satisfaction among a cohort of university students aged 18-25. Employing a phenomenological paradigm and leveraging a Semi-Structured Interview Method, this study conducts a rigorous examination using Braun and Clarke Thematic analysis to unearth nuanced themes. The research seeks to comprehend the Factors Contributing to Relationship Satisfaction, elucidate the Influence of Sociosexual Orientation on the Dynamics and Overall Satisfaction of college students' relationships, and scrutinise the challenges inherent in sustaining relationship contentment within the collegiate milieu. The findings underscore the profound impact of collegiate experiences on sociosexual orientation, catalysing processes of self-discovery, personal evolution, and adaptive coping mechanisms. Furthermore, emotional connectivity within relationships emerges as a pivotal factor fostering heightened receptivity to diverse experiences, aligning with established research on the significance of secure emotional bonds. The study reveals formidable challenges in preserving satisfaction during the college years, emphasising the pivotal role of effective communication and mutual understanding. Additionally, the exploration of varied perspectives on desires and relationship realities accentuates the dynamic nature of relationship satisfaction and underscores the profound influence of sociosexual orientation on behavioural patterns. This research contributes to the evolving body of knowledge in the field, shedding light on the intricate dynamics that shape and influence relationship satisfaction among college students at the master's and doctoral levels.
Comparative Study of Family Climate and Self-confidence among the Senior Secondary School Students of the Arts Stream
Authors: - Dr. Sadaf Jafri
Published: March 2024

The present study aims to compare the Family Climate and self-confidence of the male and female respondents of the Arts stream of senior secondary schools. The sample consists of 345 Arts stream students amongst them 180 are Male and 165 are Female. The family Environment Scale, FES prepared by Chadha and Bhatia (1993), and the Self-confidence Inventory prepared by Agnihotri, ASCI (1993) are used for this study. The Findings of the research study indicate no significant difference exists between Male and Female respondents of the Arts stream on the measure of the variable of Family climate. The t-value was 0.296, and the mean values were 247.58 and 248.26 for males and females, respectively.
However, a significant difference was found between male and female respondents of the Arts stream on the variable of Self-confidence. The calculated t-value is 3.587. The mean values differ between the two groups at 27.44 and 30.81 respectively. It clearly shows that females are better than males on the variable of Self-confidence. Thus, it can be said with assurance that there is a marked difference between male and female respondents of the Arts stream on the variable of Self-confidence because the calculated value is significant even at a 0.05 confidence level.
Virtual Mouse using Hand Gesture Recognition
Authors: - M.Dhyanesh , - R. Vijay Kumar , - MD. Ameena , - M. Surya Teja , - R. Vijay Krishna , - Dr. G. Krishna Kishore
Published: March 2024

This paper presents a framework for controlling a PC's mouse cursor through hand motions, making a virtual mouse, this method of laying out a course of collaboration among human and PC is developing since the creation of PC innovation. This uses PC vision and motion acknowledgment procedures
to follow and decipher the developments of a client's hand. By recognizing predefined hand motions, the client will be permitted to control a portion of the PC cursor capabilities with their hands. The framework makes an interpretation of these motions into comparing mouse activities, like cursor development, clicking, and looking over. This innovation offers a novel and natural way to deal with human-PC cooperation, possibly improving client experience in applications going from gaming to openness. The proposed framework will just require a webcam as an info gadget. The product's that will be expected to execute the
proposed framework carried out in Python utilizing OpenCV and PyAutoGUI. The user will be able to further calibrate the camera by viewing its output on the system's screen.
A Survey on Speech Emotion Recognition System using CNN Algorithm
Authors: - K. Anisha , - K. Vamsi Priya , - Ch. Sahithi , - N. Devi Charan , - A.V.S. SivaRamaRao , - G. Prasanth Kumar
Published: March 2024

The speech emotion recognition system (SER) plays an important role in decoding and predicting the speaker's emotional state by analyzing audio signals. Emotions are often simplified and grouped into categories such as anger, happiness, sadness, and even neutral emotional states. These emotions serve to communicate one's thoughts and provide insight into one's physical and mental health. Speech is the most basic and natural form of communication when interacting with others. Voice signals enable rapid communication between individuals, making them a valuable and effective method of expression. Over the past decades, countless research initiatives have been devoted to the development of voice-based automatic emotion recognition systems, especially to improve human-machine communication. Voice is gradually taking center stage in the field of Human-Machine interfaces in the IT sector. This interdisciplinary field draws on a variety of fields, including computer science, signal processing, psychology, linguistics, and more. As technology advances, it allows for seamless communication between humans and machines. Speech recognition not only interprets speech but also captures nuances in a person's tone and expressions, similar to body language. Therefore, it becomes an essential element of the Human-Machine communication system.
A Survey on Multifactor Authentication Approaches Door Lock System
Authors: - P.Mohan , - K.Naga praveena , - D.Data sai , - A.Siva ramarao , - M. Vamsi Varma , - S.V.V.D. Venu Gopal
Published: March 2024

In a smart environment smart door lock is very important because previously they carried the traditional methods like carrying keys etc. after that they developed a biometric method for security for the users in different sectors because they are unique characters and that are also involved in hacking and using less quality component .and It is most important in present environment because the technology is very fast and they are not carrying key because if they lose the key it is hard to break the lock and it give high security for safety purpose because if we add smart door lock your home means it gives notification to your phone directly open or lock the door if any person came in front of the door if you are in another place it is easy to allow the person .there are so many methods used for smart door lock system but even though there are still having the challenges for security and photography. This summarized all the existing methods for solving the problem using iris recognition. By observing all the existing solutions Iris gives high security compared to other biometric.
Prediction of Air Pressure using Support Vector Machine Compare with Multi Layer Perception Model in an Area of North Twenty-four Parganas, West Bengal
Authors: - Rupam Sardar , - Sudip Ghosh , - Bimal Datta
Published: March 2024

Lifesaving requires the capacity to foresee the weather. Applications for weather prediction in agriculture, transportation, floods, and other natural phenomena are significant. The prediction of Air Pressure is crucial for weather forecasting. Multiple linear regression is one of the techniques available for Air Pressure prediction.
model. To determine how one independent variable and one dependent variable are related to one another In statistics, the linear regression model is an extremely helpful tool. Multiple linear regression is an extension of the linear regression model. We utilized MATLAB to add the variables to our experiment. Weather forecasting relies heavily on Air Pressure prediction. For the purpose of forecasting rainfall, we have chosen Kolkata, or more specifically, the Dum Dum Metropolitan region in North 24 Parganas. We have investigated additional atmospheric forecasting parameters.
applying a multilayer perceptron to predict Air Pressure. Once we get the coefficient, we have the intended and calculated Air Pressure. We have identified the error.
Now we are applying Support Vector Machine over Multi Linear Preceptron to get better results.
Mandibular Mesiodens: A Case Report of Rare Clinical Entity
Authors: - Monalisa Das , - Shreyasi Chakraborty , - Supreet Sirolkar , - Anindya Saha
Published: March 2024

Supernumerary teeth are those that are in excess of the normal series. Supernumerary teeth can appear as a single tooth, multiple teeth, unilaterally or bilaterally, and in the maxilla, mandible, or both. The presence of this condition, particularly in the mandibular anterior region, has been reported infrequently. The purpose of this paper is to report and review the occurrence of such a rare combination. A 9-year-old girl presented to the Department of Pediatric and Preventive Dentistry with the chief complaint of a malpositioned tooth in the lower anterior region of the jaw. A supplemental tooth resembling a permanent central incisor was discovered during a clinical examination. The presence of Mesiodens was confirmed by radiographic examination. The mesiodens was extracted, followed by a spontaneous closure of the diastema. This case report revealed that the early detection of mandibular supplemental incisors could facilitate early intervention, a better prognosis, and fewer complications.
Assess the Effect of Educational Intervention Regarding Knowledge of Essential New-born Care among the G.N.M 3rd Year Students
Authors: - SHIPRA VASHISHT , - MADHU KUMARI GUPTA
Published: March 2024

Objectives:
To assess the knowledge on essential new-born care among the G.N.M 3rd Year nursing students.
To evaluate the effectiveness of planned teaching programme regarding knowledge of Essential New-born Care.
To associate the Pre-test- Post-test level of knowledge of students regarding Essential New-born Care.
Materials and Methods:
The Pre- experimental with one group pre-test post-test design was used on 75 students of class G.N.M 3rd year were included in the study, each student were given structured teaching program on essential new-born care. The socio demographic data was collected. The knowledge level of students of G.N.M 3rd year was assessed by structured questionnaire. Descriptive statics and inferential statistics were used to analyses the data.
Results:
Findings related to planned teaching program by comparing pre-test and post-test knowledge level of the students of G.N.M 3rd year students. There was no significant association exist in age group of 17-35 years at p value <0.05. According to knowledge level of pre-test among 75 students of age group 17-35 years, the 2.7% students were having inadequate knowledge 88% were having moderately adequate knowledge and 9.3% were having adequate knowledge regarding selected aspects of essential new born care. According to post-test level of knowledge, the 0 %students were having inadequate knowledge. 22.7% students were having moderately adequate knowledge and 77.3% were having adequate knowledge regarding selected aspects of essential new-born care. The data shows that there was significant difference between level of knowledge with age (1.380), education (1.614), previous knowledge (0.353), source of knowledge (2.730), place of residence (0.215).
Conclusion:
The following conclusions were made on the basis of the finding of the study: there was significant difference in the pre-test and post-test knowledge level regarding selected aspect of essential new-born care.There was no significant association existing in students of age group 17-35 years at p value< 0.05.
According to knowledge level of pre-test among 75 students of age group 17-35 years, the 2.7% students were having inadequate knowledge 88% were having moderately adequate knowledge and 9.3% were having adequate knowledge regarding selected aspects of essential new born care. According to post-test level of knowledge, the 0 %students were having inadequate knowledge. 22.7% students were having moderately adequate knowledge and 77.3% were having adequate knowledge regarding selected aspects of essential new born care
There was no significant association existing in knowledge level of students of age group 17-35 years at p<0.05.
Legal Aid in India: Enhancing Access to Justice for All
Authors: - Prabhjot Singh Chahal
Published: March 2024

Legal aid is a fundamental aspect of ensuring justice for all individuals, especially in a country as diverse and populous as India. This research paper examines the evolution, status, challenges, and prospects of legal aid in India. The paper explores the constitutional and statutory provisions, institutional mechanisms, and initiatives undertaken by the government and non-governmental organizations to provide legal assistance to marginalized and disadvantaged sections of society. Additionally, it analyzes the impact of legal aid in promoting social justice, empowering vulnerable communities, and strengthening the rule of law in India.
An Analysis of Syncretism's Historical and Sociological Aspects in Goan Culture, Focusing on Its Evolution and Impact
Authors: - Devanand
Published: March 2024

Goa, an Indian state, possesses a diverse cultural legacy that the interplay of many ethnic, religious, and linguistic communities has influenced. Syncretism is a prominent feature of Goan culture, involving the fusion of diverse cultural elements such as religious beliefs, behaviours, and traditions. The historical development of syncretism in Goa is an intricate and varied phenomenon influenced by colonisation, migration, and trade.
Juridical Study of the Granting of Persons with Disabilities' Rights to Access Public and Social Facilities
Authors: - Hegy Renata Koswara , - Lazarus Tri Setyawanta
Published: March 2024

The purpose of this study is to analyze: 1) How does the provision of rights protection to persons with disabilities over access to public facilities and social facilities? 2) How is the implementation and efforts of the government towards the fulfillment of the rights of persons with disabilities to accessibility of public facilities and social facilities based on Law number 8 of 2016 concerning Persons with Disabilities? The research method used is normative juridical with a statutory approach, concept approach, and case studies. The results showed that: 1) The implementation of the protection of the rights of persons with disabilities in access to public facilities in terms of analysis as well as the theory of legal protection with the passing of regulations derived from law number 6 of 2018 by requiring each region to make provisions in the form of access to public facilities and public facilities. 2) Providing access to public and social facilities as well as legal protection conditions that provide protection for preventive and repressive efforts. As well as the implementation of the Disability Protection Law, it makes benefits for people with disabilities in terms of access to public facilities and social facilities with the establishment of a national commission on disability.
Smart Traffic Control System Using AI
Authors: - Lavanya E , - Paul Shruti Kanailal , - G. Anbu Selvi , - N. Senthamilarasi
Published: March 2024

AI-powered transportation systems revolutionize urban mobility by dynamically adjusting traffic flow, reducing fuel consumption, emissions, and accidents. Real-time data processing identifies risks, prioritizes emergency vehicles, and optimizes commute times and energy use. Machine learning algorithms preemptively address bottlenecks, refine traffic dynamics, and enhance economic productivity. These systems facilitate seamless vehicle-infrastructure communication, offering personalized route recommendations and optimized traffic signal timings. Ultimately, they create a smart, interconnected urban ecosystem prioritizing efficiency, safety, and sustainability, transforming transportation management.
Design and Analysis of 16-bit pipelined subranging SAR ADC and TDC
Authors: - Bakialakshmi D , - Varsha J
Published: March 2024

Analog to digital converters plays an important role in medical and signal processing applications. This paper proposes a 16-bit time based analog to digital converter (ADC) architecture by combining SAR Analog to Digital Converter and Vernier Time to Digital Converter. SAR analog to digital Converter is best suited for low power, high resolution and moderate applications. Vernier Time to Digital Converter with a high resolution to increase the conversion gain of VTC. The SAR ADC and Vernier TDC are pipelined to increase the conversion speed and reduce the area, power dissipation significantly smaller. A 16-bit combined pipelining SAR ADC and Vernier TDC was designed and simulated in Tanner EDA Tool.
Legality of Blockchain and Smart Contracts in India
Authors: - Megha Ravindranath
Published: March 2024

India is presently experiencing a moment of profound transformation that encompasses revisions to its constitution and legal principles. In this era of remarkable transformation, it would be imprudent to overlook the technological innovations and digital advancements that have permeated the legal domain. One particularly vital aspect in this context is the field of Contract Law. Presently, electronic contracts in India are primarily governed by The Indian Contract Act, in conjunction with the Information Technology Act and the Indian Evidence Act, unless stated otherwise. These legal frameworks provide the foundation for legally enforceable electronic contracts in the country. This research paper emphasizes the urgent requirement for a legal adaptation in the field of Contract Law to align with the ever-evolving technological landscape. It also delves into the legal intricacies associated with blockchain-based Smart Contracts, elucidating how these contracts function within the current judicial landscape. Finally, it concludes by emphasizing the necessity for a pioneering effort to regulate this dynamic domain.
Digital Divide and Financially Marginalized Communities: Strategies for Implementation of NEP 2020
Authors: - Abhishek Kumar Nigam
Published: March 2024

The advent of the digital age has brought unprecedented opportunities for education, yet it has also exacerbated the digital divide, disproportionately affecting financially marginalized communities. This research paper delves into the intersection of the digital divide and financially marginalized communities within the framework of the National Education Policy (NEP) 2020 in India. The
study investigates strategies for implementing NEP 2020 to bridge the digital gap and ensure equitable access to educational opportunities for these communities.
Drawing upon existing literature and empirical evidence, this paper delineates the multifaceted nature of the digital divide, encompassing factors such as access to technology, digital literacy, and connectivity challenges faced by financially marginalized communities. It critically examines the provisions and
objectives of NEP 2020 related to digital education, analyzing their potential to address the digital disparities among marginalized groups.
Furthermore, this research scrutinizes innovative approaches and best practices for implementing digital initiatives under NEP 2020, including the deployment of digital infrastructure in underserved areas, tailored digital literacy programs, and community engagement strategies. It explores the role of government policies, private sector partnerships, and civil society initiatives in leveraging technology to empower financially marginalized communities in education.
Additionally, the paper discusses the challenges and barriers hindering the effective implementation of digital inclusion strategies under NEP 2020, such as affordability issues, cultural barriers, and infrastructural limitations. Through a comprehensive analysis, this study aims to provide insights and
recommendations for policymakers, educators, and stakeholders to design and implement sustainable strategies for bridging the digital divide and fostering digital equity among financially marginalized communities in the context of NEP 2020.
Non-Cooperation Movement
Authors: - Dr.Hemappa B. Kenchalli
Published: March 2024

The most important movement in India's freedom movement was the non-cooperation movement, that is, if the Indians did not cooperate with the British government in any way, it would be difficult for the British to form a government, then Mahatma Gandhi's intention was that they would give freedom to the Indians. Thus, if Gandhi called the Indians to do the non-cooperation movement, he also told how this movement should be done. The purpose of this article is to provide information about it.
Ch-Oracle A Unified Statistical Framework for Churn Prediction
Authors: - S.SELVAKANI , - K.VASUMATHI , - D.VIGNESH
Published: March 2024

The User churn stands as a consequential challenge within the realm of online services, posing a substantial threat to the vitality and financial viability of such services. Traditionally, endeavors in churn prediction have transformed the issue into a binary classification task, wherein users are categorized as either churned or non-churned. More recently, a shift towards a more pragmatic approach has been witnessed in the domain of online services, wherein the focus has transitioned from predicting a binary churn label to anticipating the users' return times. This method, aligning more closely with the dynamics of real-world online services, involves the model predicting the specific time of user return at each temporal step, eschewing the simplistic churn label. Nevertheless, antecedent works within this paradigm have grappled with issues of limited generality and imposing computational complexities. This paper introduces ChOracle, an innovative oracle that prognosticates user churn by modeling user return times through the amalgamation of Temporal Point Processes and Recurrent Neural Networks. Furthermore, our approach incorporates latent variables into the proposed recurrent neural network, effectively capturing the latent user loyalty to the system. An efficient approximate variational algorithm, leveraging backpropagation through time, is developed for the purpose of learning parameters within the proposed RNN.