bluuebunny/crossref_metadata_2025 huggingface dataset:
THE DYNAMICS OF MIGRATION IN INDIA: CHALLENGES AND OPPORTUNITIES
Authors: M. L Geetha , M. S Jagadeesh
Published: June 2024

Migration is a fundamental aspect of India's demographic landscape characterized by diverse patterns and drivers. This chapter explores the historical context of migration in India, spanning centuries and influenced by various economic, social, political, and cultural dynamics. It emphasizes the importance of considering regional contexts in understanding the developmental implications of migration. The study presents comprehensive data on migration in India using the report ‘Migration in India 2020-2021".Factors influencing migration in India are analysed, including push and pull factors emphasizing the role of economic disparities, employment opportunities, and social networks in driving labour migration and highlighting the complex relationship between migration and the well-being of individuals and households. Additionally, the study explores the impact of climatic factors, COVID-19, on migration decisions in India. The study provides valuable insights for policymakers, researchers, and stakeholders in formulating strategies to address the challenges and leverage the opportunities associated with migration in India.
AI APPLICATIONS FOR PROGRESSIVE TEACHERS
Authors: S. Hegadi Dr. Pampapati
Published: June 2024

Progressive-Teachers are the pre-service trainee-teachers in the training institutions wherein they would accumulate the knowledge, and develop the skills and strategies to teach the school children in their career. Currently, the trainee-teachers are following the ICT curriculum without any underpinning the applications of Artificial Intelligence (AI). Alan Turing’s statement about AI, “Artificial Intelligence is a field, which combines robust datasets, to enable problem-solving. It encompasses sub-fields of machine learning and deep learning, which are frequently mentioned in conjunction with AI.” In the aftermath of covid-19 situation, the teacher role enhanced through the applications of online teaching integrated with technological gadgets of cutting-edge technology. Every progressive teacher must imbibe the vibrant ICT accessed tools irrespective of their pedagogy of teaching to become a hybrid teacher to incorporate the ICT instructional competency as affirmed by UNESCO. AI is one such tool, which is bringing forth revolutionary changes by exploring the data available on the internet storage. The implications of AIEd (Artificial Intelligence in Education) are personalized learning, voice assistance, the creation of smart content, gamification, tutoring, virtual learning, etc. The AI-driven applications in education are Chat GPT, Google Cloud Speech-to-text, Open CV, Knewton, Kahoot, photomath, Open, Image Creator, etc. Now it is high time to roll out these AIEd capabilities in the teaching-learning process of progressive teachers to become 21st-century smart teachers.
VEHICLE MOVEMENT BASED STREET LIGHT OPERATION FOR PREVENTING ENERGY AND HUMAN INTERVENTION
Authors: Srinivas Amgoth , Ram Mohan Sangati , Reddy Mekala Mallikarjun , Anuhya Sandi , Sai Krishna Sirinomula , Sarvari Priya Mukkamala
Published: June 2024

The goal of this work is to reduce street light energy consumption by implementing an algorithm that can control the electricity at night. This can be done through the use of sensors and an Arduino UNO. The work's counter will monitor the number of objects that pass through the road. This method can help reduce the electricity consumption of the street lights. The system will be designed with the help of an Arduino UNO, which will automatically turn on or off the lights when a vehicle moves. This work's working diagram provides an overview of the various aspects of the project. For instance, if there is no vehicle within the IR sensor module's path, the receiver can't receive the infrared signal. This means that the lights remain on in open loop condition while the circuit is in standby. The IR module is currently in close loop condition. If a car blocks one of the sensors, the microcontroller will switch on the first three LEDs. When the vehicle moves forward, the second sensor will also be turned ON. The first LED from the previous set will then be turned off. This procedure continues for the other sensors and LEDs.
IMPACT OF ARTIFICIAL INTELLIGENCE ON THE NEXT GENERATION WORKFORCES
Authors: Prema Dr. R. , Hansadvani Ms. K. S.
Published: June 2024

This chapter deals with reflections on the Artificial Intelligence (AI). The principal objective of AI is that a machine can have a kind of common intelligence equivalent to a human and is one of the most important innovation in the digitalized era ever wished-for by science. In terms difficulty, it could be compared with vast scientific goals, such as revealing the source of life or the cosmos, or attempting to discover the composition of the issue. Technology driven innovative organizations are competing with each other to incorporate AI into day-to-day activities of the humans, which will lay the road for really great and electrifying AI’s future.
ARTIFICIAL INTELLIGENCE IN FOOD INDUSTRY
Authors: Dorothy Ms A. Jacquline
Published: June 2024

Artificial intelligence otherwise known as AI, is a technology which is used to automate tasks using human intelligence. This chapter entitled as Artificial intelligence in food industry emphasis the application of AI in all the process of a food industry like helping customers to make decisions in choosing the food items, food packaging, tracking food supply chain, highlighting marketing strategies, food preparation and delivery, maintaining food safety, customer service, food waste reduction, hospitality and many more. Readers of this chapter will definitely acquire knowledge about how AI can be applied in food industry in a best way.
A COMPREHENSIVE REVIEW OF OFFLINE SIGNATURE VERIFICATION
Authors: Kumar D S Sunil , Abraham Wincy
Published: June 2024

Signatures are a means to represent a person either directly or indirectly in all the legal documents and (as well as) legal transactions. Signatures are a form of biometrics characterized by their uniqueness. Biometrics is a viable technology in various application domains where the identification or verification of an individual is contingent upon human characteristics. In the realm of biometrics, human traits are classified into two categories: behavioral and physiological. Within the realm of behavioral biometrics, we find signature, gait, and voice biometrics. Meanwhile, in the domain of physiological biometrics, we encounter traits such as face, palm, iris, finger or thumbprints, and DNA sequences. In this paper we are presenting a comprehensive review on offline signature verification by incorporating contributions from various authors. We have also discussed types of signatures and challenges involved in signature verification. This paper also describes steps involved in signature verification process.
HOUSE PRICE PREDICTION - A COMPARATIVE EVALUATION OF SUPERVISED LEARNING
Authors: H.S Suhas Shastry , Roy Soumyadeep , S.K Shiza Mehek , Chalikar Priyanka G. , Srivatsa Anand , T Dr. Ananthapadmanabha
Published: June 2024

In today’s time, any business or company would like to know how to predict the next value based on prediction of any data using algorithms or mathematical models have been the statisticians tool. These tools improvised in time and modern computers programs have helped in more efficient ways to predict. Machine learning (ML) is a branch of computer science that enables computers to learn without having to be explicitly programmed. In other words, without being explicitly instructed, ML algorithms can learn from data and better their performance and execution over time. Speculating on real estate is worth millions of dollars. People are looking to buy houses within their budgets and by analyzing market strategies. There are numerous aspects that must be considered when forecasting house prices for consumers based on their budget as well as their priorities. House price patterns were calculated using dataset, to make predictions for new houses. Various Machine learning algorithms were run on the house price data and compared. The significant contribution is compared between different regression models and found similar and equivalent in results, but Gradient Boosting had a better outcome when compared to other algorithms of Supervised Learning
CROP PREDICTION USING MACHINE LEARNING: A SURVEY PAPER
Authors: Kumar Ashwani , Barnwal Dr. Bhola Shankar
Published: June 2024

India's economic foundation is agriculture. By contributing a significant portion of domestic cultivation to ensure food security, it also has a significant impact on the Indian economy. Due to natural disasters and poor crop choice, today's farmers are all having difficulty cultivating their land. One of the most effective techniques to partially address the farmer's challenge is machine learning. However, there is a conundrum regarding the appropriate algorithm to use and the best approach to take. The tactics and algorithms utilised are surveyed in this study, along with their benefits and drawbacks.
A COMPARATIVE STUDY OF STATIC AND DYNAMIC VIDEO ANALYSIS IN COMPUTER VISION
Authors: Mughilan T. Fabio , Anitha C
Published: June 2024

Video enhancement presents inherent challenges surpassing those encountered in image enhancement due to its temporal nature. This article elucidates these intricacies, encompassing factors like temporal consistency, higher data volume, real-time processing, motion complexities, and longer processing times. User experience, contextual information, resource constraints, and algorithmic complexities further compound the challenge. Despite these obstacles, ongoing research endeavors strive to surmount these issues, fostering improved video quality and efficiency.
AUTOMATIC DETECTION OF MACULAR EDEMA WITH ITS SEVERITY ANALYSIS
Authors: S Rajesh , Palled Abhishek Mallappa , Chiranjeevi Iyli , S Kavya Dr. , S Raksha , Kumar Neelapala Anil
Published: June 2024

The Macula is an important part of our human visual system that is primarily responsible for sharp and colour vision. Diabetes affects many different parts of the body, including the retina of the eye. Edema and other abnormalities near the macula are caused by retinal damage. Diabetes-related macular edema (DME) is a group of disorders that affect the macula. It has an effect on patients' vision, which can lead to vision loss. The information regarding the severity of the disease and the localization of pathologies is extremely useful to the ophthalmologist in detecting the disease and selecting the best treatment plan for the patients in order to avoid the formation of lesions and prevent vision loss. It can be avoided if the reasons for edema are identified in advance. The enlargement is caused by neovascularization and other irregularities in the blood vessels around the macula. The objective of this work focuses on preventing vision loss by recognizing abnormalities in the macula in advance. The goal of this work is to use digital OCT (Optical Coherence Tomography) pictures to construct an automated detection of edema. Using Fuzzy k- means Machine Learning algorithms to extract and detect the afflicted region, for early discovery of edema to prevent or postpone sight loss.
DEEP LEARNING BASED HANDWRITTEN DIGIT RECOGNITION SYSTEM
Authors: Sarvade Varun P.
Published: June 2024

Handwritten recognition pertains to the capacity of a data processing system to discern patterns of handwritten information, such as digits and characters, from diverse sources like emails, papers, images, and reports. Within domains like computer vision and applications of machine learning (ML), the challenge of recognizing handwritten digits has emerged as an extensively studied problem. Numerous ML techniques have been devised to address this issue of identifying handwritten digits. With the advancement of various machine learning and deep learning approaches, handwritten digit recognition has evolved into an exceptionally captivating field for researchers. In this study, the outcomes of some of the most commonly employed deep learning algorithms, namely the Deep Neural Network (DNN), Convolutional Neural Network (CNN), and Recurrent Neural Network (RNN) are evaluated. Notably, CNN has demonstrated superior accuracy compared to conventional image recognition techniques.
DESIGN AND VALIDATION OF NOISE MODELLING FOR UNDERWATER ACOUSTIC IN BROADBAND COMMUNICATION USING SOFTWARE REFERENCE MODELS
Authors: K N Manjunatha , L Chandrashekhar , S N Naveen Kumar , K Sandeep
Published: June 2024

The paper focuses on development and validation of communication system for underwater acoustic with comparison to the existing designs. the prime objective is to select the suitable methods to analyze the performance of the channel targeted for the application. using simulation platform, evaluate the various noise model and deploy the suitable one after the experimentation. the research has focused on simulation of noise and loss models, modulation detection techniques, channel estimation algorithms and signal to noise ratio (snr). the practical part of the work consists of the implementation of the selected techniques, and the following set of experiments: software simulations and comparison. the underwater system has been developed in matlab, due to the advantages of this application, in order to debug the program, tune the chosen parameters, and analyze results.
A STUDY ON FINANCIAL PERFORMANCE OF SELECTED LIFE INSURANCE COMPANIES
Authors: Jyothirmai EKA. Aruna
Published: June 2024

The performance of all life insurance companies is under a lot of pressure in this era of fierce competition because almost all of them work hard to keep their clients and grow their market share by improving their profitability and keeping their solvency and liquidity positions. Numerous methods can be used to evaluate the financial performance of life insurance firms, but ratio analysis is crucial for examining their performance in terms of profitability and liquidity. The fact that life insurance businesses play a large role in the nation's economic operations, it is increasingly important to evaluate their financial performance. As a result, it is projected that life insurance businesses will continue to be profitable without significantly compromising their liquidity and solvency. The study makes a modest effort to compare the financial performance of LIFE INSURANCE CORPORATION OF INDIA, SBI Life Insurance, ICICI Prudential Life Insurance Company, HDFC, and Max New York Life Insurance Company over a period of five years. To compare the financial performance of these five life insurance companies, current ratios, claim ratios, return on asset ratios and retention ratios have been taken into consideration.
HUMAN CAPITAL MANAGEMENT - CHALLENGES IN A GLOBALIZED ECONOMY
Authors: Shankar Sree Lata
Published: June 2024

The role and responsibilities of a HR manager are very crucial in the modern and global business era. Due to work force diversity, advances in technology, rapid changes in economic, political and legal environment, highly competitive markets, changes in income levels and consumer demands and declining the boundaries of the nations and increasing global pressures, role of HR manager in has become a center point in all types of firms. To flourish and become appropriate in the global context, HR manager should extend his focus on increasing interaction of national eco-nomic systems all over the world through the growth in international trade, investment, and capital flows along with traditional functions such as recruitment and selection, training and development, and compensation. This interface is a worldwide initiative towards globalization and a globalized economic system. Globalization, an inevitable and irreversible force is a new reality in which HR managers, enterprises and government are always emphasize on new processes and innovations. This globalization process leads to enquire into challenges of HR management. This paper highlights and sums up the challenges of HR management in dynamic global business environment.
FUTURISTIC ASPECT IN LEARNING PROCESS MANAGEMENT: AN ANALYTICAL STUDY
Authors: Dongare Dr. Sandip Bhimrao
Published: June 2024

This research paper delves into the futuristic aspects of learning process management, particularly within the context of India’s education system. The paper highlights the initiatives taken by the Ministry of Human Resource Development, emphasizing the use of educational technology, especially during the pandemic shift towards online education. The objectives of the research include studying futuristic learning approaches, analyzing the importance of future techniques, and shedding light on the ongoing implementation of blended learning. Assumptions regarding the cost-effectiveness, quality of teaching, and inclusivity of future education are discussed, drawing inspiration from Yuval Noah Harari’s perspective. The paper addresses India’s efforts to leverage disruptive technology for societal benefit and outlines challenges in reaching the rural population. The digital initiatives of the Government of India, such as Swayam courses, digital learning monitoring cells, and the National Digital Library, are explored as means to enhance education accessibility. The paper also proposes future digital initiatives, including a digital campus, smart campus, and innovation drives, aiming to streamline various processes and foster creative thinking among students. Finally, the conclusion underscores the transformative impact of the digital revolution on higher education, with government programs like Swayam India’s Own Books and regulations from the University Grants Commission (UGC) paving the way for a technologically driven future in education.
RAPID VEHICLE SUPERVISION AND DETECTION IN A TERRRITORY
Authors: T Lakshmi , Begam Safiya , Jovin G Asis
Published: June 2024

Due to recent significant advancements in the processing power of basic computers, deep learning algorithms are now frequently utilized to analyze traffic video footage. Estimating traffic flow, spotting anomalies, identifying vehicles, including video vehicle tracking are some of the fundamental elements of traffic analysis. Predictions of flow of traffic or estimates of speed have been one of the most prominent study topics in recent years. Good solutions to this issue may help decrease accidents on the roads and improve roadway construction by more accurately estimating transit demand. In this paper, we present a number of novel methods for measuring the speed of moving objects, as well as a solution to the monitoring problem.
LSTM AND CNN-BASED FUSION BIOMETRIC RECOGNITION
Authors: Karthiha G. , Swetha Ms. , Radhika G.
Published: June 2024

Biometrics, which is a description of used to describe a computerized recognition of people using their special physical features for safety reasons. Biometric authentication is extremely challenging, necessitating the creation of new, more effective methods in order to distinguish between a genuine, valid feature and a false, self-manufactured, synthetic, or reconstituted sample. The development of biometric detection technology has fuelled by means of recent advancements in computer vision, machine learning, and the process of recognizing patterns. By combining two authentications, the suggested solution aims in order to improve the security of biometric recognition systems. Each modality has a particular set of challenges. When it made sense, adults were employed to assess how well software and technology geared for new-borns performed. The reliability of systems for biometric authentication depends on the type of biometric feature employed, the quality of the data acquired, and the efficiency of the algorithm. The suggested method outperforms prior state-of-the-art methods, and additional biometric data exposes highly critical information that can be utilized to successfully distinguish real features from imitations. Study authors huddled adult iris, retina, fingerprint, and other biometric data in preparation for putting adult biometric identity systems into practice. The pictures were captured using modern day technology, and the iris modality's preliminary analysis procedures were modified to take into consideration the location and slicing of adult lids.
IRIS BIOMETRICS AND FINGERPRINTS ARE USED TO AUTHENTIFY INFANTS
Authors: Vennila C. , Shanmugaraj R. , Prabavathi V. , Radhika S. , Kumar Pandra Sandeep
Published: June 2024

Adults regularly use biometric recognition for a variety of tasks that require confirming a person's identity. However, there is still a challenge with the biometric identification of youngsters. The solution to this issue might improve border control measures to stop child trafficking, safeguard children from fraud and identity theft, assist in the search for missing children and their families, and improve digital record-keeping procedures. Researchers gathered biometric data from infants' fingerprints, irises, and outer ear shapes to begin developing biometric identity systems for kids. Challenges specific to each modality exist. When feasible, babies were used in the testing of modern gear and software created for adults. It was created when new hardware or software was necessary. Preprocessing techniques have to be changed to take into consideration the localization and segmentation of developing irises. Existing gear was used to take pictures for the iris modality. Using specialist equipment, newborn fingerprints were captured on film. Image processing software was then developed to convert the images into a format that is backwards compatible with the current international standards for minutiae extraction and comparison. The advantages and disadvantages of utilizing each of these modalities throughout the first year of life were examined using qualitative and quantitative evaluations of usage and performance. Each modality has distinct usage guidelines, even though there isn't one solution that applies to Everyone.
EXAMINING USER CONDUCT, IDENTIFYING, TRACING, AND ELIMINATING INTRUDERS WITHIN A CLOUD ENVIRONMENT
Authors: V Sudha , I Vishwa Priya , E Logesh , T Dinesh Kumar , M Harini
Published: June 2024

Social network accounts are actively tracked and monitored for detection. In the event of a hacker targeting a legitimate user, our system allows the attacker to proceed, but concurrently captures crucial information about the attacker. We employ Honey words, generated based on user-provided information, alongside the conversion and storage of the original password in a different format, enhancing security. Our configuration consists of a Cloud server for user account management, a Shopping server for transactions, and an Intermediate server. Hacker can quickly change the login information for the cloud-based server if they are granted access to the primary client's email account details. As part of this project, the attacker's actions are permitted to facilitate easier identification. Consequently, when the attacker logs into the purchase portal, they are unknowingly tracked by the server. The system promptly identifies the attacker, notifies the original account owner, and effectively blocks the attacker from conducting any further transactions using the genuine account.
A BIBLIOMETRIC ANALYSIS OF MARITAL RAPE AS A HUMAN RIGHT ASPECT
Authors: Rathore Ms. Sanmati , Choudhury Dr. Raja Roy
Published: June 2024

The present study is based on bibliometric analysis on research publications which accentuates primarily upon human rights of married women against marital rape. The core objective of this study is to ascertain the research work conducted on marital rape in human rights framework. The data for conducting this research has been procured from Scopus database with use of VOS viewer software. The studies which are published from year 2000 till 2020 are being pursued for this research paper. This study consists of total of 65 documents of different categories including articles, papers reviews etc. The analysis and presentation of data has been done with the use of charts, graphs, and tables. It can be deduced from the study that marital rape as an aspect of human right is an under researched area which eventually showcase the divergence of penal laws regarding this crime as well. It is suggested that human rights bodies and institutions should promote and sponsor research in this field so as to enhance awareness and bring attention of people over this peculiar issue.
GERONTOLOGY: SOCIAL PROBLEM
Authors: Brahmbhatt Dr. Shailesh
Published: June 2024

The problem of the elderly is an important human and social problem of the present problem which is seen as a universal problem in all the countries of the world. Especially in India, many factors like industrialization, urbanization, changing values, urban environment, social change, population explosion, westernization are responsible for aging problem. Physical, mental and economic aspects during old age we call the problem that arises due to change as the problem of the elderly. In the Upanishads, the duration of human life is considered to be 70 years. The gap between today's youth who imbibe new values and innovative thinking and the elders who value tradition is widening day by day in terms of ideological values. As a result, there is a conflict between the new generation and the old generation. What used to be a joint family breaks down into a nuclear family which creates many problems for the elders and the elders seem to undermine their dominance as the youth take center stage in terms of responsibility and decision making. Matrideva Bhava – Pitrideva Bhava concept seems to be almost extinct today and most of the youth find the old person useless and burdensome. Nowadays, the condition of the elderly is becoming very pitiable. Westernization in India has worked to break the culture of the country by crossing its legs.
A STUDY ON E-MARKETING AND EMPLOYMENT OPPORTUNITIES IN TIRUPUR CITY
Authors: Gunasundari Dr. K. , Kanimozhi Ms. V.
Published: June 2024

E-marketing is the process of using the Internet to sell a product or service offering to a target audience via cell phones, gadgets, social media, and other means. E-marketing encompasses not just online marketing but also email and cellular marketing. It makes use of a variety of technologies to help businesses interact with their customers. E-marketing, like many other media channels, is an element of integrated marketing communications (IMC), which aids a brand's growth across many channels. Companies that use a variety of digital media platforms have turned to e-marketing as a key component of their marketing strategy. E-marketing, often known as "online" or "internet" advertising, is a type of advertising that uses the internet to spread a message to customers. Email or social media advertising, web banners, and mobile advertising are all forms of e-marketing. In this paper mainly focus on growth of e-marketing and highlighting the employment opportunities of current scenario.
FUTURISTIC TRENDS OF DIGITAL MARKETING AND ONLINE SHOPPING IN INDIA
Authors: Nigam Vandana
Published: June 2024

This paper offers some views on cutting-edge and futuristic tendencies in on-line shopping and digital advertising and marketing. This paper is based on secondary facts. The contents are based totally on latest research studies and on what is going on in the enterprise global. In the look at, it's been observed that on-line shopping and digital marketing are growing very fast in India. Digital marketing is price-effective and has a large effect on business impact on enterprise. Increasing use of social media is creating a brand-new way to attract the targeted client. As clients' wishes and preferences are converting and constantly need something new, online purchasing is supporting them fulfil their demands. On this study, it's been observed that online purchasing is the future of the Indian marketplace. The future digital marketing and selling will assist in growing the Indian economy
EVALUATING ADDITIVE MANUFACTURING OPTIONS THROUGH TOPSIS METHOD: A COMPREHENSIVE DECISION-MAKING APPROACH
Authors: Bhagwat Dr. Prasanna M
Published: June 2024

In the current competitive landscape, various industries are actively seeking intelligent technologies to maintain competitiveness. These technologies assist research and development teams in clearly expressing ideas and swiftly introducing products to the market while minimizing production timelines and costs. Every additive manufacturing (AM) machine possesses distinct strengths in product fabrication, material utilization, and waste reduction. Key factors such as the costs of machinery and materials hold significant importance and greatly influence the assessment of prototype expenses. The primary considerations in additive manufacturing (AM) are the expenses associated with both machinery and materials. These factors, owing to their distinctive attributes, offer opportunities for cost reduction. Nevertheless, an alternative approach focuses on optimizing the manufacturing process and refining material usage, aiming to effectively lower the overall expenditure related to prototype production. Research Significance: The research article utilized a multi-criteria decision-making method, TOPSIS, to choose the right material for the product, considering both end user preferences and additive manufacturing (AM). The initial step involves selecting the optimal machine from the available options, considering factors such as cost, precision, material range, and waste. Next, the suitable material is chosen based on respondent's needs. Finally, the key criteria impacting overall additive manufacturing (AM) cost are identified and utilized. Methodology: TOPSIS helps decision makers select criteria based on respondent expectations. It employs pair wise comparisons using decision maker rankings to choose the right option. A thorough demonstration is presented, fully aligned with respondent needs. The methodology's output can be adjusted based on respondent requirements and machine availability. Alternative parameters: Vero Black ,Vero White, Tango Black, DurusWhite, TangoPlu, TangoBlackPlus and Vero Clear. Evaluation parameters: Mixing number, Number of digital materials, Cost, Elongation at break, Tensile strength, Shore hardness, Frequent order and Visual and aesthetic modeling. Result: Materials were ranked with Vero White as the top choice and DurusWhite as the lowest. TangoBlackPlus ranked second, followed by Vero Clear in third, TangoPlu in fourth, Vero Black in fifth, and Tango Black in sixth. The final outcome assists in selecting suitable equipment and building materials for the prototype, based on respondent criteria.
EFFECT OF WDEM PROCESS PARAMETERS ON TiNi SHAPE MEMORY ALLOY
Authors: Takale Dr. Adik M. , Pujari Mr. G. V. , Chougule Mr. P. S.
Published: June 2024

Ti-Ni alloys are a vital class of shape memory alloys (SMAs). Lately, materials, for example, Ti-Ni based SMAs and different SMAs are normally utilized in therapeutic and a few building uses. Therapeutic application incorporates eye glass frame, careful stent, orthodontic arch wire, dynamic catheter and modern building application is practical gadgets, for example, latches, fixing and coupling, aviation actuators, sensors, radio wires and fuel injector. Due to its excellent quality at lower to direct temperatures, shape memory effect (SME), excellent wear resistance, considerable consumption resistance, lightweight, high biocompatibility, etc., Ti-Ni combinations are frequently used. When Ti and Ni are combined, the microstructure often goes through a martensitic stage at lower temperature and an austenitic stage at higher temperature. WEDM uses can likewise be found in therapeutic, optical, dental and R and D regions. Other famous use for WEDM is cutting of extrusion dies. Integrated shape of Ti-Ni SMAs is hard to machine by conventional machining, in that case WEDM is preferred also the WEDM very precise, accurate and irregular intricate shape can be produced.
Peran Orangtua dalam Mendukung Keberhasilan Akademik Anak di Sekolah Dasar: Tinjauan Literatur
Authors: Irzam Irzam , Nisa Sahrun
Published: June 2024

Education in elementary school is an important foundation for a child's overall development. This literature review explores the strategic role of parents in supporting children's academic success. Parents play a crucial role through learning assistance, communication with teachers, creating a conducive learning environment, as well as motivation and emotional support. The level of parental involvement is influenced by factors such as background, culture, parenting style, and environmental support. Best practices include partnerships with teachers, learning routines, appreciation, and providing learning resources. Even though there are challenges, opportunities for optimizing parental support can be realized through parent-school-community partnerships, parent training programs, and the use of technology.
Pendidikan Agama Islam bagi Anak dalam Keluarga
Authors: Hidayat Herman Somantri , Rahmi Nina , Mauludin Hilman
Published: June 2024

The family plays an important role in Islamic religious education for children. As the first environment for children, the family has a big influence in forming character, values and understanding of the Islamic religion in the family. This research aims to examine the role of parents and other family members in instilling Islamic values in children through daily practices at home. The research method used was literature study and participant observation on several Muslim family members. The research results show that the example of parents in the family, the habit of worship, and the creation of an Islamic environment in the family are key factors in Islamic religious education for children. Parents act as the main teachers by providing teaching, guidance, and facilitating children in studying the Koran and other religious practices. The support and involvement of all family members is very important in strengthening the internalization of Islamic values in children. This research concludes that the active role of the family determines the success of Islamic religious education for children from an early age.
La coopération pour un développement durable et inclusif : l’apport spécifique de l’approche basée sur les droits de l’homme
Authors: Balliu Greta
Published: June 2024

Ce livre présente une profonde réflexion sur l’usage des ressources naturelles, la révolution du numérique et les défis communs pour les États et leurs enjeuxde coopération. Selon l’auteure, une tension méconnue entre les préceptes du développement durable et certains droits fondamentaux des personnes fait surface. L’approche du développement fondée sur les droits de l’homme (APBDH) proposée devrait servir à prévenir les formes de développement qui portent gravement atteinte aux droits humains, en niant de manière inacceptable certains de ces droits. Pour l’illustrer, une étude de cas de l’Albanie est proposée, pays qui constitue un véritable laboratoire pour expérimenter les modèles de développement.
Magical Realism in Contemporary Indonesian Literature: An Exploration of the Value of Education in a Fantasy World
Authors: Ayuningtyas Arviah Putri , Pamungkas Onok Yayang
Published: June 2024

The purpose of this study is as an effort to interpret the short story Peminspin Gelap by Intan Pramataditha in the perspective of magical realism. The value of education is also present as one of the aspects studied because it can provide new knowledge for readers and is considered important to learn. The approach used is to use qualitative methods that focus on semiotics, content analysis, and hermeneutics. The source of the data was obtained from the main object of this study, namely the short story book Peminspin Gelap by Intan Paramaditha. Other data used to support this research relate to magical realism such as book references, some relevant research and electronic journals taken from the internet. Data collection is carried out by reading and recording techniques. The results of this research can be found data from the representation of magical realism in the short story Dark Spinner by Intan Paramadhita. First, magical realism data was found based on the meanings and symbols of images on the cover of the short story anthology book Female Magic, and the cover of the short story Dark Spinner pen.  Then, data were obtained from the analysis of story texts based on Wendy B. Faris's theory, namely: (1) irreducible elements were found two data; (2) the phenomenal world (Phenomenal World) found two data; (3) Unsettling doubt found four data; (4) Merging realms found one data. Then, the value of education was found in the short story Dark Spinner by Intan Paramadhita, namely the value of religious education
The Effects of Additioning Purple Sweet Potato Flour (Ipomoea batatas L.) on The Characteristics of White Dragon Fruit Pudding (Selenicereus undatus)
Authors: Mujianto Mujianto , Lili Zalizar  , Damat Damat  , Rahayu Relawati  , Muhammad Dusturuddin Robbany  , Nico Syahputra Sebayang  , Effendi Andoko
Published: June 2024

Pudding is one of the processed foods made by mixing agar powder into water, milk, fruit pulp, to vegetable pulp which can produce a gel and has a soft texture. White dragon fruit is a type of fruit that is rarely used as pudding, because it has a less attractive color after being processed. In  this research, white dragon fruit pudding by adding purple sweet potato flour to increase the attractiveness of color, enrich the antioxidant activity, and increase the fiber content contained in the pudding to obtain a pudding of functional value. This study used a simple randomized design group (RAK), with a focus factor concentration of purple sweet potato flour consisting of 6 levels, including P0 (0% purple sweet potato flour), P1 (5% purple sweet potato flour), P2 (10% purple sweet potato flour), P3 (15% purple sweet potato flour), P4 (20% purple sweet potato flour), and P5 (25% purple sweet potato flour) with  4 times repetitions. The raw material analysis of purple sweet potato flour includes water content, ash content, fat content, fiber content, and antioxidant activity. Analysis of white dragon fruit pudding products includes analysis of water content, ash content, fat content, fiber content, antioxidant activity, color intensity, texture, and organoleptic test (texture, taste, aroma, color, and preference). The addition of purple sweet potato flour significantly affected the water content, ash content, antioxidant activity, color intensity, texture, and organoleptic test of white dragon fruit pudding. P1 formulation (5% purple sweet potato flour) was the best formulation with the water content of 76.41%, ash content of 0.28%, fat content of 3.56%, fiber content of 0.89%, antioxidant activity of 14.33%, brightness level of 39.35, redness level of 8.02, yellowish level of 3.92, and texture of 0.34 N. Organoleptic test results texture 5 (somewhat chewy), taste 3 (somewhat tasteless purple yam), aroma 2 (not scented purple yam), color 6 (attractive), and preference 6 (like).
Physicochemical And Organoleptic Quality Testing Of Millet Microgreen Juice (Panicum Miliaceum L.) On Different Milet Types And Plant Age
Authors: Kurnia Praise Sustainable Indah , Kurnia Hartati Fadjar , Andika Prayudanti Adhania , Hariyani Nunuk
Published: June 2024

This research has taken place using experimental laboratory methods of quantitative analysis. The variables used include varieties consisting of yellow millet and red millet, and plant life ranging from 6 days, 9 days, 12 days, and 15 days. The data obtained was analyzed based on parametric statistics using ANSIRA, using statistical product and service solution (SPSS) with version 24 and determining best treatment using effectiveness tests and determining antioxidant levels of best treatment. Different types and ages of plants have very real effects on reduced sugars, phenols, vitamin C, flavonoids and total soluble solids. Significant treatment between different plant types and ages resulted in a 6-day-old ryellow millet (MG1) being the best treatment with a result value (NH) of 0.73 with the parameter criterion reduction sugar level of 1.48%, total phenol content of 27.26 mg GAE/100mg, vitamin C 2.05 mg/100 mg, total flavonoid content of 4.98 mg QE/100 Mg, TPT 11.36 mg/L, color 4.81 (neutral), flavor 5.16 (few likes) and aroma 5.4 (few likes).
Potential of Streptomyces spp. From Peanut Plant Soil as an Entomopathogen of Pests Spodoptera Litura
Authors: Ferdianto Eko Wicaksono  , Wiwin Windriyanti  , Penta Suryaminarsih
Published: June 2024

Peanuts are agricultural commodities that have high economic value and play an important role in meeting human needs, namely as a source of vegetable protein, oil and other nutrients, but domestic peanut production has not been able to meet the needs of the Indonesian people. The national demand for peanuts reaches 856.1 thousand tons per year, and the average consumption of peeled peanuts is 0.32 kg per capita every year. [1] In 2013 peanut production was 701,680 tons, then there was a decrease in production in 2014 to 638,896 tons, and continued until 2015 to 605,449 tons, thus showing a 13.7% decrease that occurred from 2013 to 2015. Low productivity is caused by various factors, one of which is the attack of pests and plant diseases. This study aims to determine the type of Streptomyces spp. Microbes with high chitinolytic content that can control armyworm pests (S.litura) on peanut plants. and influence of biological control agency Streptomyces spp as an entomopathogen of insect pests S. litura. This study was able to improve understanding of the influence of the biological control agency Streptomyces spp as an entomopathogen of S. litura insect pests to protect plants in the future. The results of the exploration of Streptomyces sp. acquired Colonies are irregular and branched coccus-shaped. The colony is tightly attached to the GNA medium, wavy white with a notched surface and a starchy texture. In addition, it has the largest chitinase enzyme content with a chitin zone diameter of 3 cm. PCR test Based on BLAST® result tabulation data that isolates belong to the genus Streptomyces sp. with an identity percentage of 99.86% with Streptomyces sp. VEL gene 17 to 16 rRNA, partial sequence with access code AB914463.2 The highest mortality was in the treatment (S0 RP K3) and (S1 RP K3) there was 60% this showed that with the administration of Streptomyces sp. With a concentration of 75% can cause very high mortality with abdominal contact poison in S. Litura pests
PENINGKATAN KARYA AKADEMIK: PELATIHAN DAN PEMBINAAN DASAR-DASAR MENDELEY UNTUK PENGELOLAAN REFERENSI PENELITIAN MAHASISWA YANG EFEKTIF
Authors: Subagiyo Rokhmat , Budiman Ahmad
Published: June 2024

Ragam perangkat lunak manajemen referensi dapat digunakan untuk mendukung penulis dalam menyusun artikel atau karya tulis ilmiah seperti skripsi, tesis, atau disertasi. Salah satu di antaranya adalah mendeley, sebuah perangkat lunak yang memiliki kemampuan dalam mengelola basis data ilmiah, termasuk e-book, e-jurnal, dan referensi lainnya. Mendeley berfungsi sebagai perpustakaan digital yang dilengkapi dengan kemampuan untuk menyusun daftar pustaka dalam penulisan karya tulis ilmiah. kegiatan ini diselenggarakan melalui pertemuan langsung, dihadiri oleh 30 peserta yang semuanya merupakan mahasiswa tingkat akhir atau sedang menyelesaikan skripsi di Fakultas Ekonomi Dan Bisnis Uin Sayyid Ali Rahmatullah Tulungagung. Proses kegiatan terdiri dari tiga tahap, yaitu pra-pengabdian masyarakat, pelaksanaan pengabdian masyarakat, dan tindak lanjut setelah kegiatan pengabdian masyarakat. Berdasarkan umpan balik dari peserta, dapat disimpulkan bahwa semua peserta mengakui manfaat signifikan dari kegiatan ini, terutama dalam konteks penyusunan tugas akhir
PELATIHAN CEPAT DASAR BERBICARA ARAB DI MAJLIS DIKDASMEN PCM MATRAMAN
Authors: Akbar Doni Wahidul , Agustini Vilya Dwi
Published: June 2024

Bahasa Arab mempunyai dua dialek yaitu bahasa Arab Fushah dan Arab Ammiyah. Bahasa Arab Fushahh merupakan bahasa yang digunakan dalam Al-Qura‟n, al- Hadis dan pada karya tulis ilmiah. Bahasa Arab Fushahh sudah menjadi bahasa internasional yang diresmikan pada 18 Desember 1973 oleh UNESCO (United Nation Education, Scientific and Cultural Organization). Bahasa Arab fusha (ragam standar) adalah bahasa yang digunakan dalam Al-Qur-an, situasi-situasi resmi, penggubahan puisi, penulisan prosa dan juga ungkapan-ungkapan pemikiran (tulisan-tulisan ilmiah). Bahasa Arab fusha ini juga biasa digunakan dalam bahasa pengantar resmi di kampus kampus atau Universitas - Universitas Islam di Timur Tengah. Sedangkan bahasa Arab ‘ammiyah (ragam non standar) adalah ragam bahasa yang digunakan untuk urusan - urusan biasa sehari-hari. Di negara-negara Arab yang terbentang dari teluk persia hingga laut mediteranian terdapat aneka ragam dialek amiyah (ragam non-standar) yang masing-masing memiliki perbedaan fonetik, kosakata, dan strukturnya. Bahasa Arab ‘âmiyah berbeda dengan Arab fushhâ. Perbedaan ini terjadi pada aspek fonetis dan pilihan kata. Pada tataran pilihan kata, misalnya ثلاثة أسابي  مدة إقامتي هنا  (muddatu iqâmtî huna tsalâtsatu asâbî’: I’m here for three weeks). Kalimat tersebut dalam ‘âmiyah Mesir diungkapkan أنا هنا ثلاثة أسابي (ana hina talâtasâbi’), dan dalam Gulf Arabic diungkapkan مدة ثلاثة أسابي أنا هنا  (ana hina mudah tsalâtha asâbi’), sedangkan dalam Levantine Arabic diungkapkan أنا هون لثلاثة أسابيع (ana hoon li talâti esâbi’). Minimnya pengetahuan satri/siswa di Indonesia tentang bahasa Ammiyah hal itu berdampak butuhnya pelatihan terhadap siswa dengan tema “Pelatihan berbicara bahasa Arab dengan cepat di Majlis Dikdasmen PCM Matraman. Kegian ini dibagi menjadi tiga tahap, yaitu pertama, pengenalan kaidah-kaidah yang terdapat pada bahasa Arab. Kedua, berbicara bahasa Arab Arab dengan kaidah-kaidah yang sudah dipelajari oleh para guru. Ketiga, pelatihan menulis kaidah bahasa Arab dengan kaidah-kaidah yang sudah diberikan. Pelatihan ini berguna untuk para guru untuk menjadi bahan ajar di sekolah.
EDUKASI PEMBERANTASAN SARANG NYAMUK DALAM UPAYA PENGENDALIAN DEMAM BERDARAH DENGUE
Authors: Dedyansyah Achmad Farid , Riwibowo Nola , Abdillah David Fahmi , Basri K. Ilham , Galahartlambang Yanuangga
Published: June 2024

Kabupaten Lamongan merupakan salah satu wilayah di Jawa Timur yang sering dilanda KLB (Kejadian Luar Biasa) untuk kasus DBD (Demam Berdarah Dengue). Pengendalian kasus DBD (Demam Berdarah Dengue) dapat dilakukan dengan upaya yang bersifat promotof dan preventif. Partispasi masyarakat dalam pengendalian DBD (Demam Berdarah Dengue) terutama mengenai pengetahuan dan ketrampilan dalam pencegahan dan penanganan DBD (Demam Berdarah Dengue) perlu ditingkatkan. Edukasi pemberantasan sarang nyamuk dalam upaya pengendalian DBD (Demam Berdarah Dengue) dilakukan dengan metode ceramah, diskusi dan demonstrasi. Kegiatan ini dilakukan pada Ibu-ibu PKK Desa Kedungsari, Kembangbahu, Lamongan. Jumlah peserta yang berpartisipasi dalam kegiatan ini berjumlah 50 orang. Kegiatan Edukasi pemberantasan sarang nyamuk dalam upaya pengendalian DBD (Demam Berdarah Dengue) dilakukan di Balai Desa Kedungsari, Kembangbahu, Lamongan. Penyampaian materi dilakukan dengan menggunakan media audio visual dan alat peraga. Evaluasi kegiatan ini dilakukan dengan menggunakan kuosioner yang diberikan di awal dan akhir kegiatan. Beberapa materi yang diberikan dalam kegiatan ini meliputi pelatihan  cara melakukan pemantauan jentik dan edukasi kesehatan tentang DBD (Demam Berdarah Dengue).Berdasarkan hasil evaluasi yang telah dilakukan dapat diketahui bahwa 83% peserta berpendapat kegiatan yang dilakukan dinilai bagus, terdapat 14% tidak memiliki pendapat atau netral, dan 3% merasa kegiatan masih kurang menarik. Mayoritas peserta memiliki pendapat positif terhadap kegiatan yang dilakukan.  Ibu-ibu PKK Desa Kedungsari, Kembangbahu, Lamongan merasa senang dengan adanya kegiatan ini. Karena dengan adanya kegiatan ini, pengetahuan tentang pengendalian DBD (Demam Berdarah Dengue) semakin meningkat. Terlebih dengan adanya pembagian serbuk pembasmi nyamuk yang dilakukan oleh panitia secara gratis.