bluuebunny/crossref_metadata_2025 huggingface dataset:
Preparation of Non Locomotor Basic Movement Assessment Instruments for Class III Moderate Mentally Retarded Children at SLB Negeri Luragung Kuningan
Authors: Ratnawulan Teti , Sadiyatu Nur Adhimah
Published: May 2024

Assessment is an access used to determine the abilities, difficulties and needs of a child which is then used as a reference to develop an appropriate learning program. A teacher, especially a teacher who handles children with special needs, is required to be able to compile assessment instruments that are suitable for the children he handles. The purpose of this study was to develop a non-locomotor basic motion assessment instrument for class III moderate mental retardation child at SDLB SLB Negeri Luragung. Non-locomotor basic movements are used in learning activities usually in warming up or cooling down during sports that contain motion patterns such as bending, twisting, swinging and bending. This study used a qualitative approach and descriptive method. The data in this study were obtained from observations, interviews, FGDs, and validation. The results of observations made by research to three grade III moderate mental retardation child show that children experience obstacles in gross motor non-locomotor basic movements such as in sports lessons during warm-ups the child looks stiff and less able to maintain body balance so as not to fall, while in daily activities maintaining body balance while doing activities in place is very necessary. Therefore, researchers are interested in compiling a non-locomotor basic motion assessment instrument for grade III moderate disability children to find out more about what the child's difficulties are in basic non-locomotor movements, then the results of the assessment instruments that have been prepared are validated to determine readability and applicability.
The Important Role of Inclusive Schools in Accepting Children with Special Needs in Cluster 2, Cibinong District, Bogor
Authors: Sujana Sujana , Susetyo Budi , Aprilia Imas Diana
Published: May 2024

Inclusive schools are places where children with special needs can learn together with other regular children. However, children with special needs are still accompanied by accompanying teachers during teaching and learning activities. The learning system, teaching, curriculum, facilities and infrastructure, as well as the assessment system in inclusive schools will accommodate the needs of children with special needs, so that they can adapt and receive the best possible education. Children with special needs are children who experience delays in development, have medical conditions, mental conditions, and/or certain congenital conditions. They require special attention and handling in order to reach their potential. Children with special needs do not mean they are not smart, talented or incapable. It's just that they have special challenges that most normal children don't face. A School Cluster is an institution/organization as a center for the development of surrounding elementary schools which has the aim of improving the quality of education. The aim of this research is to find out about inclusive schools in accepting children with special needs, especially in cluster 2, Cibinong District, Bogor Regency. The research method used was interviews with school officials, especially school principals, in accepting children with special needs at their school. Interview is a data collection technique through a one-way verbal question and answer process, meaning that questions come from the person interviewing and answers are given by the interviewee.
Linguistic and Auditory Assessment: An Effort to Improve the Beginning Reading Ability of Dyslexic Children in Grade IV at Elementary School Level
Authors: Syafril Muthia , Susetyo Budi
Published: May 2024

This study describes the implementation of linguistic and auditory awareness assessment in improving dyslexic children's early reading skills. The factors studied include linguistic (phoneme, morphology, orthography) and auditory (phoneme, morpheme, semantic, syntax) awareness, which are important in the early reading process. The research method was descriptive qualitative, with one 10-year-old student subject from grade 4. The assessment phase involved classical identification with learning instruments from grade 4 to grade 1, as well as a pre-early reading assessment focusing on linguistic and auditory awareness. Results showed significant linguistic awareness (33.59%) and auditory awareness (60%) influence reading ability. Phoneme and morphology aspects affect reading ability in terms of linguistics, while morphemes and syntax are significant in auditoris.
Communication Development Practice of Sound and Rhythm Perception at SLB YRTRW Surakarta
Authors: Wan Zhaliha  , Sunardi Sunardi , Joko Yuwono
Published: May 2024

The ability to detect sounds in deaf children often experiences obstacles, due to obstacles to the auditory senses. To improve the ability to detect sounds in deaf children, a sound and rhythm perception communication development (PKPBI) learning program is needed. This research aims to describe the procedures, methods, and tools used in PKPBI learning, as well as the challenges faced by teachers in implementing the learning. The subjects in this study were PKPBI subject teachers and four grade X students at SLB YRTRW Surakarta. This research used qualitative methods in the form of semi-structured interviews and observations. The results showed that the implementation of PKPBI learning at each stage has different procedures, methods, and tools. The challenges experienced at these four stages include the low level of children's attention, the degree of residual hearing that children have, and inadequate facilities and infrastructure.
Optimizing Assessment Techniques for Students with Diverse Special Needs in Schools
Authors: Fathoni Arifuddin , Sutimin Leo Agung
Published: May 2024

This study investigates effective assessment techniques for students with diverse special needs in school settings. Background research highlights the importance of individualized assessment strategies to ensure equitable education opportunities. The study aims to identify optimal methods and practices that enhance the evaluation process for these students. The research utilizes a mixed-methods approach, combining qualitative and quantitative data from observations, surveys, and interviews with educators and specialists. Analysis focuses on assessing different techniques' impact on student engagement, academic performance, and adaptive skills. Findings indicate that tailored assessments, incorporating a variety of methods such as adaptive testing and alternative response formats, significantly benefit students with special needs. These techniques enhance understanding and provide actionable insights for personalized education plans. The study concludes that a multifaceted approach to assessing students with special needs is essential for their success. Emphasizing the implementation of individualized assessment practices can lead to more inclusive and effective educational experiences. Readers are encouraged to consider the potential benefits of adapting their assessment methods to better support diverse learning needs.
Analysis of Knowledge and Skills among Special Education Teachers in Inclusive Schools in Indonesia
Authors: Cahyani Leni Ambar , Subagya Subagya
Published: May 2024

This research examined the knowledge and skills of special education teachers within the context of inclusive education in Indonesia. Employing a quantitative survey approach, the study aimed to determine whether a statistically significant disparity existed between these two variables. The data collection technique utilized included knowledge tests and performance assessments, involving 637 participants from 26 districts/cities. The data analysis technique employed was the t-test using SPSS. The research findings indicated that the mean knowledge score (51.85) was lower than the mean skill score (73.90). The t-test result showed a value of -29.87 with p-value <0.05, indicating a significant difference between the knowledge and skill scores. Several factors contributed to the higher skill scores, including limited access to specialized training and professional development, curriculum structures prioritizing skill-based coursework, and the unique demands of inclusive education settings.
The Effectiveness of Using Sondet Smart Augmented Reality Based Application to Improve Sound Understanding for Hearing Impairment Special School Students in Central Java
Authors: Nugraheni Permata Primadhita , Subagya Subagya
Published: May 2024

Hearing impairment children are individuals who have lost the ability to hear, thereby hampering the process of information through their hearing, whether they use hearing aids or not. This research will test the effectiveness of using the Sondet Smart Augmented Reality based application in improving sound understanding for hearing impairment children. This research uses a quantitative approach with experimental techniques to test the use of the Sondet Smart Augmented Reality based application. The research subjects involved 124 hearing impairment students attending special schools in Central Java, then these students were divided into two groups, control and experimental groups. The research results were calculated using SPSS with the Chi Square test resulting in a asymp-sig calculation of 0.010 using alpha of 0.05, so asymp-sig. < 0.05. Therefore, the use of the sondet application to improve the sound understanding of hearing impairment students in Central Java has proven to be effective in increasing students' sound understanding.
Unravelling Receptive Language Acquisition: A Comprehensive Study of Deaf Students' English Language Acquisition
Authors: Safira Ramadhani Risa , Hufad Achmad
Published: May 2024

This study aims to explore in-depth understanding of receptive language acquisition and English language acquisition of deaf students. The focus of the research is on the aspects of receptive language acquisition and English language acquisition of deaf students. This research uses the literature analysis method which involves the study of scientific articles, research reports, and other related literature at the national and international levels that relate to the receptive language acquisition and English language acquisition of deaf students. The data was analysed qualitatively with a descriptive approach. The findings of this study are that deaf children have great potential, despite facing barriers in language acquisition. they tend to have a visual learning type, and the use of various learning media can help improve language acquisition.  A total communication approach, which involves multiple forms of communication, can help in deaf children's first language acquisition. In addition, factors such as the degree of deafness, hearing aid use, and family background also affect their language development. In foreign language learning, the use of national sign language and effective learning strategies can help deaf students overcome difficulties. And the importance of co-operation between teachers, students, parents and the learning environment is crucial in helping deaf children overcome their language challenges.
Diritto, politica ed economia dell’innovazione tecnologica: 1940, 1980, 2020
Authors: Caso Roberto
Published: May 2024

Nella politica di ricerca e innovazione (R&I) dell'Unione Europea, da un lato si moltiplicano le azioni di promozione dell'Open Science (OS) delle università, dall'altro si estendono i diritti di proprietà intellettuale e se ne incoraggia l'uso e il trasferimento a privati nelle stesse istituzioni accademiche. In un ecosistema di R&I dominato dal capitalismo del monopolio intellettuale, la promozione dell'OS rischia di essere, nel migliore dei casi, inefficace o poco efficace e, nel peggiore, uno strumento per rafforzare i monopoli stessi.
Atypical Presence of Leuconostoc pseudomesenteroides in a Lower Respiratory Tract Infection
Authors: Karnaker Vimal Kumar , Ali Ashraf Asem , S Veetil Sreelatha , Nair Sanjana , Rama Varma Sudhir
Published: May 2024

Introduction: Leuconostoc species are gram-positive microorganisms typically isolated from dairy and brewing industries. Infections in humans are extremely rare. They are vaguely associated with patients who have co-morbidities and a history of antibiotic use. The rise of inadvertent microbiota complicates treatment delivery. Case Presentation: We report a rare case of Leuconostoc pseudomesenteroides in a patient with a lower respiratory tract infection. The patient suffered from diffuse axonal injury with bilateral subdural hematoma following a road traffic accident. An emergency tracheostomy was performed, and the patient was managed conservatively. The patient developed symptoms clinically, such as fever, and radiographically exhibited bilateral lung infiltrates. Endotracheal aspirate samples were sent for microbiological evaluation. Conclusions: The bacterial culture was identified as L. pseudomesenteroides. Bacterial identification and antibiotic susceptibility testing were verified. Antibiotics were administered empirically and intravenously until the patient achieved normal clinical status.
Continuity of Islamic Educational Institutions
Authors: Iffatul Aimmah  , Muhtadi Abdul Mun’im
Published: May 2024

Islamic educational institutions have developed from time to time. This is so that Islamic educational institutions can be present to answer the challenges of the times. This research will discuss continuity in Islamic educational institutions. The research method used in this education is qualitative literature study. The results of this study show that continuity in Islamic educational institutions in accordance with their main objectives can be done by developing curriculum, improving the quality of teaching staff, utilization with technology and holding cooperation with other institutions.
Research on Madrasas in International Publications: Bibliometric Analysis with Vosviewer
Authors: Zafrullah Zafrullah , Zulfa Safina Ibrahim  , Rezi Ariawan  , Sa'adatul Ulwiyah  , Rizki Tika Ayuni
Published: May 2024

The large number of studies on madrasas on Scopus means that madrasas can be used as an option for researchers in conducting research. This research aims to look at the grouping and novelty of keywords using Vosviewer. This research used 323 documents that had been sorted according to keywords. From the results of the analysis, there are fourteen research groups based on keywords in madrasa research in the Scopus database, namely improving educational practices in madrasas, developing madrasa education in rural areas, preserving architectural heritage in madrasas, improving the Arabic language curriculum in Aliyah madrasas, Islamic pedagogy and practice. memorization, heritage preservation and restoration techniques, Islamic boarding school management, integration of character in online learning during the pandemic, madrasas and maktab religious education and national training, teacher performance and academic achievement, development of religious character, leadership in moral education, environmental learning in Muslim communities, as well as the study of Islamic history. Meanwhile, the novelty of keywords such as mausoleum, Islamic boarding schools, learners, character building, online learning, emotional intelligence, critical thinking skills, and learning outcomes indicates the novelty of the keywords so that these keywords can be used as research recommendations in research on madrasas in the Scopus database.
BULGARİSTAN MUHACİRLERİNE YÖNELİK KIZILAY’IN GÖÇ YÖNETİMİ MODELİ VE SOSYAL YARDIMLARI
Authors: Uğurlu Cüneyt
Published: May 2024

Türkiye’ye Bulgaristan’dan 1950-51 Zorunlu göçünde sayıları yüz bini aşan miktarda Bulgaristan Türkü gelmiştir. Türkiye Bulgaristan Türkleri için yüksek düzeyde önem vererek Göçmen ve Mültecilere Yardım Birliği kurmuştur. Cumhurbaşkanı Celal Bayar Bulgaristan’dan gelen Türkleri bizzat ziyaret etmiştir. Göçmen ve Mültecilere Yardım Birliği TBMM Başkanı Refik Koraltan Başkanlığı’nda ve Kızılay’ın bağış toplamaya yetkilendirilmesiyle sosyal yardım alanında önemli faaliyetlerde bulunmuştur.
Sınırdan geçen muhacirlere Kızılay ilk etapta aracılığıyla Edirne aşevinde sıcak yemek dağıtımı yapmıştır. Tekirdağ ve Çorlu’da kış şartlarında hastalanan için göçmen hastaneleri kurmuştur. Misafirhanede barınan göçmenlerin iaşe, kıyafet gibi ihtiyaçları Kızılay aracılığıyla piyasadan tedarik edilmek suretiyle gerçekleştirilmiştir. Kızılay’a önemli miktarda bağışlar yapılmak suretiyle göçmen evleri inşa edilmiştir. Bu makalede Kızılay arşiv belgeleri esas alınarak betimsel analiz yöntemiyle Kızılay’ın Bulgaristan muhacirlerine yapmış olduğu sosyal yardımlar ortaya konulacaktır.
FIG Commission 4 Work Plan 2023–2026: Targeting the next challenges in the hydrospatial domain
Authors: Gunathilaka M. D. Eranda K. , Johnston Gordon , Lawes Geoff , Ironside Samuel , Wee K. T. K. , Filmer Mick , Dufek Tanja , Gordana Jakovljevic , Hains Denis , Dewan Ashraf
Published: May 2024

The evolution of hydrographic science and technology is continually shaped by emerging trends and challenges, influencing our comprehension and governance of marine environments. Commission 4 (Hydrography) of the International Federation of Surveyors (FIG) is charged with anticipating the impact of these developments on hydrospatial professionals and addressing emerging issues in its forthcoming four-year work plan. This necessitates staying informed about the latest advancements and navigating the interplay of factors within the hydrospatial domain. Commission 4 also aims to engage with the hydrospatial community to gain insights into the effects of current trends on global hydrospatial work at various levels. Establishing collaborations with key organisations, including the International Hydrographic Organization, professional bodies, standards bodies, global taskforces, and other FIG commissions and networks, is integral to ensuring the hydrospatial community can deliver the highest level of professional output for global hydrospatial information users. This article seeks to enhance community awareness and understanding of the roles played by FIG Commission 4 and its associated working groups. It provides an update on the changes and goals outlined in the FIG Commission 4 work plan for the term 2023–2026, introduces the term "hydrospatial" in lieu of "geospatial" for ocean and related domains, and introduces a new working group (WG 4.5) focused on addressing the impacts of climate change.
Shared waters, same standards – The Baltic Sea e-Nav project: A partnership for the future of marine navigation
Authors: Hell Benjamin , Wallhagen Magnus , Westfeld Patrick , Hohwü-Christensen Sophie , Mustaniemi Rainer , Värre Antti , Harper James
Published: May 2024

In order to deploy the first layers of S-100 based navigation products in the Baltic Sea, and do so in a regionally harmonized manner, the Hydrographic Offices involved are partnering with academia and industry in the Baltic Sea e-Nav project. To unlock the full potential of the S-100 paradigm shift towards e-navigation, there is a need for transnational collaboration to build capacity and ensure seamless, harmonized products. In addition, the project will test S-100 products from an end-user perspective to ensure the most relevant and useable navigation data possible. The recently started project will continue until 2026 and is co-financed by the EU Interreg Baltic Sea Region programme.
Penerapan Fungsi Validasi Topologi untuk Penentuan Batas Desa Mengikuti Permendagri No 45 Tahun 2016
Authors: Mursyid Farhan , Yulfa Arie
Published: May 2024

The objectives of this research are: 1) to know the topology validation function, 2) to know the use of topology rules such as polygon, polyline and point rules according to Permendagri No. 45/2016, 3) to make it easier for the government/other researchers to validate the topology of administrative boundaries. This type of research is quantitative with geospatial analysis, research can be done topology checking using ArcGIS software where there are topology validation tools to identify errors contained in the data. The results of the research found that polyline topology validation only found errors in 2 object features, namely Must Not Overlap with 6 errors and Must Not Have Dangels with 1 error. Validation of polygon topology has no errors, it is just detected outside the area so an exception is made. Validation of point topology that has errors is only found in 2 feature objects, namely Point Must Be Covered By Line with 2 errors, and Must Be Disjoint with 41 errors.
The influence of independence, integrity, professionalism, and objectivity on fraud prevention in auditors with auditor ethics as a moderating variable: Empirical study at the Representative Office of the Supreme Audit Agency in North Sulawesi Province
Authors: Sinaga Indra Rolando , Sondakh Jullie J , Warongan Jessy D. L
Published: May 2024

This study aims to analyse the influence of independence, integrity, professionalism, objectivity, and ethics on fraud prevention among auditors. Additionally, this study also treats the auditor's ethics as a moderating variable. Conducted through survey methodology, the study involved distributing questionnaires to all auditors in the Audit Board of the Republic of Indonesia (or BPK) Regional Office for North Sulawesi Province. The questionnaires were disseminated to 138 respondents and achieving for 100% response rate. Analytical methods employed encompassed multiple moderated regression analysis. The results indicate that independence, integrity, professionalism, objectivity, and ethics positively influence fraud prevention. Moreover, the results also reveal that the auditor's ethics can moderate the influence of independence and professionalism on fraud prevention. The implications of the findings suggest that higher levels of independence, integrity, professionalism, objectivity, and ethics tend to increase effectiveness in fraud prevention within the BPK Regional Office for North Sulawesi Province.
Perceptions and Realities: Investigating Barriers to Adopt Islamic Banking in Pakistan
Authors: Nazeer Shuaib , Manzoor Saira Muhammad , Khalil Madiha
Published: May 2024

This study aims to identify the barriers to adopting Islamic Banking (IB) in Pakistan. This study is focused on three categories of banking customers: IB users, non-users, and those who use both IB and Convemtional Banking (CB). We utilize qualitative methods include in-depth interviews with IB Managers, scholars, and focus groups of the three consumers types. Findings revealed several barriers to broad-based adoption of Islamic banking in Pakistan such as: Lack of Trust, high adoption costs, perception that IB and CB are similar, lower returns, the state bank of Pakistan’s reliance on CB methods, and financial literacy gaps. This study stands out for its inclusion of focus groups with both users and non-users, as well as expert interviews, providing insights beyond literature review. Additionally, it offers user and non-user profiles valuable for customer segmentation and targeting.
Service Inclusion for Physically Disabled Tourists: Assessing The Impact of Functional and Social Experienscape on Tourist Service Well-Being
Authors: Awan Maheen Iqbal , Saleem Muhammad Shoaib
Published: May 2024

Malaysia is one of the travel destinations for millions of tourists from all around the world and thousands of service providers in Malaysia are catering to the varying needs of these travelers. Since ages, Tourism & Hospitality industry has been seen marketing their services to young individuals, couples, families, and business professionals globally. But, among these customers, there exists a significant market segment comprised of disabled tourists which is being largely overlooked by this industry. Therefore, this research is to study the impact of functional and social experienscape on service inclusion and tourist service well-being. Data is collected from the 354 respondents and a self-administered questionnaire was used. Results showed that Functional and Social Experienscape have positive influence on service inclusion and service inclusion have positive influence on tourist service well-being. Results drawn from the current study are expected to help academicians as this research would be a great contribution towards existing literature which will link marketing efforts to disabled consumers’ experiences with a totally new approach of Service Inclusion. Also, it will be helpful and valuable for service/marketing managers (practitioners) of Tourism & Hospitality industry to better operationalize their marketing strategies pertaining to disabled consumers in order to reduce their suffering and to make them feel cared for.
The Importance of an Emotionally Intelligent Supply Chain Leader in Determining the Success of an Organization: The Case of DS Motors Unique
Authors: Haider Syed Abbas
Published: May 2024

The study was conducted to investigate the importance of an emotionally intelligent organizational leader currently leading organization, involves in supply chain interactions and has supply chain networks. Interactions are an indispensable part of the process which supports supply chain management so it’s very critical to know the human mind-set that supports interaction. Research has revealed that humans bring their influenced sentiments to their workplace. These sentiments dominate the emotions of a person. We have very limited literature about feelings and emotions in supply chain management, even more limited is the literature on emotional intelligence of supply chain organizational leader. The purpose of this study is to understand emotional intelligence, what emotional intelligence traits should a leader or supply chain manager poses. Established on the comprehensive literature review and an interview from Director Operations of one of the leading manufacturing organization in Pakistan marks the essentiality of emotional intelligent supply chain leader in determining the success of an organization. It is commended that supply chain Leader sharpen the necessary emotional abilities and instincts in enhancing their interactions with their suppliers/buyers, and from the management view point.
Parameters for the evaluation of egg quality: a systematic review
Authors: Silva Neto Pedro Abreu da , Costa Beatriz Lopes da , Oliveira Magnólia Carneiro de , Chaves Maria Juciene Lima , Mendes Luana Guabiraba , Monte Antônia Lucivânia de Sousa
Published: May 2024

Eggs have economic and nutritional potential, being a source of animal protein and are widely consumed in meals. Due to their importance, the objective of this paper is to compile, through a systematic review, information on parameters in egg quality. The search was conducted through Scientific Electronic Library Online (SCIELO), CAPES Periodic, ScienceDirect, and Google Scholar using the following terms: “Quality parameters of eggs” and “physicochemical parameters of eggs”. Eighteen studies were selected; out of the total, 33% of the contributions were from Brazil. Approximately 5 studies investigated age, bird genotypes, different forms of rearing and the influence of these factors on the quality of the eggs produced. Six papers sought to observe the effects of bird feeding on egg quality, while 3 works addressed the use of alternative methods for egg quality analysis. Two studies applied physical evaluations and microbiological analyses to verify the quality of commercialized eggs, and 2 studies presented different approaches involving physical or physicochemical methods for microbial control of eggs. It was concluded that egg quality can be determined by various parameters, whether with traditional methods or the application of alternative and innovative methodologies.
Analysis Of Factors Influencing Employee Retention: A Study On Start-Up Companies In The Information Technology Sector
Authors: Darmayanti Darmayanti , Perizade Badia , Isnurhadi Isnurhadi , Yuliani Yuliani
Published: May 2024

The current digital era, start-up companies in the information technology (IT) sector face challenges in retaining quality employees. Employee retention is crucial because a company's success depends on their ability to retain top talent. However, high employee turnover rates can disrupt operational consistency and long-term growth. The aim of this research is to analyze the factors that influence employee retention in start-up companies in the information technology sector. This study used qualitative research methods. The data collection technique in this research is literature study. The data that has been collected is then analyzed in three stages, namely data reduction, data presentation and drawing conclusions. The research results show that the factors that influence employee retention in startup companies in the information technology sector are very important because valuable and competent employees are the main asset in creating and maintaining a company's competitive advantage. Factors that influence employee retention include employee engagement, communication, compensation, leadership, career development, training and development, work flexibility, job satisfaction, and performance appraisal.
Stock Sight
Authors:   Department of MCA, Adhiyamaan College of Engineering (Autonomous), Hosur, Tamilnadu, India., S R Thenmozhi , N Sakthivel
Published: May 2024

Stock Sight aspires to serve as a beacon of knowledge and insight, equipping stakeholders with a powerful forecasting tool capable of deciphering emerging market trends, predicting future stock prices, and optimizing investment strategies. By harnessing the latent potential of time series analysis, the project seeks to empower investors and financial professionals with the foresight and understanding necessary to navigate the dynamic and ever-evolving landscape of the stock market effectively. Through meticulous attention to detail and a commitment to excellence, "Stock Sight" emerges as an indispensable resource in the pursuit of financial success and prosperity. As "Stock Sight" progresses, it embarks on the development and evaluation of an array of sophisticated time series forecasting models, each meticulously tailored to discern and predict future stock prices with precision. Drawing upon methodologies such as Autoregressive Integrated Moving Average (ARIMA), Seasonal ARIMA (SARIMA), and Long Short-Term Memory (LSTM) networks, the project meticulously trains and optimizes these models using historical data. Through the rigorous application of robust evaluation metrics and comprehensive validation techniques such as cross-validation, "Stock Sight" meticulously assesses the effectiveness of each model, ensuring only the most reliable and accurate predictions are presented. Ultimately, "Stock Sight" aspires to serve as a beacon of knowledge and insight, equipping stakeholders with a powerful forecasting tool capable of deciphering emerging market trends, predicting future stock prices, and optimizing investment strategies. By harnessing the latent potential of time series analysis, the project seeks to empower investors and financial professionals with the foresight and understanding necessary to navigate the dynamic and ever-evolving landscape of the stock market effectively. Through meticulous attention to detail and a commitment to excellence, "Stock Sight" emerges as an indispensable resource in the pursuit of financial success and prosperity.
Human Detection and Counter
Authors:   Department of MCA, Adhiyamaan College of Engineering (Autonomous), Hosur, Tamilnadu, India., K Sandhiya. , S Malini.
Published: May 2024

Implementing human detection and counter in Python offers several advantages in various applications. Firstly, it enhances security systems by providing the capability to identify and monitor human presence in restricted or sensitive areas. This is crucial for surveillance in places such as airports, banks, and government facilities, where unauthorized access must be prevented. Secondly, human detection and counting in Python can be applied in retail analytics to analyse customer behavior and improve store layouts. By tracking the number of people entering and exiting a store, businesses can optimize their operations, manage queues effectively, and make data-driven decisions to enhance the overall shopping experience. Moreover, in smart buildings and home automation, Python-based human detection enables the creation of intelligent systems that can adjust lighting, temperature, and other environmental factors based on the occupancy of a room. This not only contributes to energy efficiency but also enhances user comfort. Additionally, the implementation of human detection and counting in Python is valuable in the field of computer vision and robotics. It facilitates the development of applications such as social robots that can interact with humans, or autonomous vehicles that need to be aware of pedestrian presence for safe navigation. In summary, the advantages of human detection and counter in Python extend across security, retail, smart buildings, and robotics, contributing to enhanced safety, efficiency, and user experiences in diverse domains
Weather Forecasting
Authors:   Department of MCA, Adhiyamaan College of Engineering (Autonomous), Hosur, Tamilnadu, India., R Shabeena , N Sakthivel
Published: May 2024

My Project is on implementation of a weather forecasting using python and machine learning. real-time weather data from locations across the world. Through Python scripting, the project generates accurate forecasts for diverse regions, providing essential meteorological parameters such as temperature, wind speed, humidity, and weather conditions. Weather forecasting plays a crucial role in various aspects of human life, from planning outdoor activities to making strategic decisions in sectors like agriculture, transportation, and emergency management. In this project, we explore the application of Python programming language in weather forecasting, employing both open-source libraries and APIs to access and analyze weather data. Through this project, we aim to demonstrate the versatility of Python in harnessing weather data for forecasting purposes, showcasing its capabilities in data retrieval, analysis, visualization, and predictive modelling. By empowering users with accessible tools and methodologies, we envision a future where weather forecasting becomes more accurate, reliable, and actionable, contributing to informed decision-making and enhanced societal resilience in the face of changing weather patterns. Weather forecasting is the scientific process of predicting atmospheric conditions at a specific location and time. It involves the collection and analysis of data from various sources, such as satellites, weather stations, and radar systems. This data is then input into numerical weather prediction models, which use mathematical equations to simulate the behavior of the atmosphere. Advances in technology, such as high-performance computing and machine learning, have significantly improved the accuracy and reliability of weather forecasts. These predictions are crucial for a wide range of applications, including agriculture, disaster management, transportation, and daily planning, helping to mitigate the impacts of severe weather events and enhance societal preparedness and safety. Despite significant progress, challenges remain due to the inherently chaotic nature of the atmosphere, which limits the precision of long-term forecasts
License Plate Detection Based on Open CV
Authors:   Assistant Professor, Department of Information Technology, Er. Perumal Manimekalai College of Engineering, Hosur, Tamilnadu, India., Ramya S. , M Hemasree , M Moonisha , S Krithika
Published: May 2024

In this project a new approach of automatic vehicle number plate recognition in National Highways and this approach enables the vehicle to automatically pass the NH roads by using object detection, 3D environment construction, virtual line generation, path planning. The system is to monitor the vehicles that are entering and going out of the NH roads. All vehicles have their own unique license plate number, so the abstraction of plate number plays a major role in this system. The vehicle number plate is taken by the tool like machine learning based camera which is placed at the road junctions. The captured image will be processed by the automatic number plate recognition using OCR (optical character recognition) algorithm, here we using Gaussians filters for remove the blueness of the image using a Gaussian kernel suppresses only high-frequency spatial information. Then the entry and exit vehicle number should be recorded. A database is created with the vehicle number. This method is an efficient way of recognizing the vehicle number plate and strengthen the security system. In case of centralized receiver all the entrance records are kept in storage and it will check the presence of theft vehicle entering into the NH roads, it will be noticed and capture the vehicle image and vehicle information’s will be send to authorized person using IMAP (Internet Message Access Protocol). The OCR technique is used to identify the number. This system has many advantages like theft detection, less man power, user friendly, vehicle logging and less processing time.
Facial Recognition Attendance System Using Python
Authors:   Department of Information Technology, Dr. A.P.J. Abdul Kalam Technical University, Lucknow, Uttar Pradesh, India., Kumar Prabhat , Srivastava Jeevant , Srivastava Nitin , Tiwari Harshit , Saxena Varsha
Published: May 2024

Attendance marking in a school room all through a lecture isn't simplest a difficult project but additionally a time eating one at that. because of an surprisingly high variety of college students present all through the lecture there'll always be a probability of proxy attendance(s). Attendance marking with conventional methods has been an area of project. The developing need of efficient and automatic techniques of marking attendance is a growing venture within the place of face recognition. In current years, the hassle of automatic attendance marking has been broadly addressed through the usage of standard biometrics like fingerprint and Radio frequency identity tags and so on., however, these strategies lack the detail of reliability. in this proposed mission an automated attendance marking and management machine is proposed by making use of face detection and popularity algorithms. instead of the use of the conventional methods, this proposed system pursuits to increase an automatic machine that statistics the pupil's attendance by way of the use of facial popularity technology. the principle goal of this paintings is to make the attendance marking and management machine green, time saving, easy and smooth. right here faces might be recognized the usage of face popularity algorithms. The processed photo will then be compared towards the present stored document after which attendance is marked inside the database therefore. compared to present system traditional attendance marking device, this machine reduces the workload of people. This proposed gadget can be applied with 4 levels inclusive of image taking pictures, Segmentation of institution image and Face Detection, Face evaluation and popularity, Updating of Attendance in database
Gesture speak: Hands-Free Computer Control with Hand Gestures and Voice Commands
Authors:   Assistant Professor, Department of Information Technology, Er. Perumal Manimekalai College of Engineering, Hosur,  Tamil Nadu, India., Gopalakrishnan S , Sankar K , Raghul S , Prasath C , Aravindan S , Santhoshkumar C
Published: May 2024

In an era of advancing human-computer interaction, "GestureSpeak" emerges as a pioneering project that facilitates hands-free control over computing devices through intuitive hand gestures and voice commands. Leveraging the power of MediaPipe and OpenCV in Python, this innovative system enables users to seamlessly navigate their digital environments without the need for traditional input devices. By harnessing the capabilities of computer vision and machine learning, GestureSpeak interprets and responds to users' gestures and vocal instructions, opening new frontiers in accessibility and user experience. This abstract offers a glimpse into the transformative potential of GestureSpeak in revolutionizing the way we interact with computers, making technology more accessible and intuitive for all users. Advancements in human-computer interaction have led to the development of innovative projects that redefine how users interact with technology. This paper introduces a novel integration of two projects: GestureSpeak and VoiceRobot, which together enable intuitive and hands-free control over computing devices using hand gestures and voice commands. VoiceRobot complements GestureSpeak by adding voice command capabilities to the interaction model. Powered by speech recognition technology, VoiceRobot enables users to control devices and launch applications using natural language. With VoiceRobot, initiating the GestureSpeak project is as simple as speaking a command. The combined system offers unique benefits, including improved accessibility for users with mobility impairments and a more natural way to interact with computing devices. By integrating gesture recognition and voice commands, the project enhances user engagement and efficiency, paving the way for future advancements in human-computer interaction. Launching the Project with VoiceRobot:A notable feature of this integrated system is the ability to launch the GestureGenie project using VoiceRobot. By speaking a predefined command, such as "Activate GestureGenie," users can initiate the hand gesture control system effortlessly. This capability highlights the seamless integration of gesture recognition and voice command technologies, showcasing the project's versatility and user-friendly design. In conclusion, the integration of GestureGenie and VoiceRobot represents a significant advancement in human-computer interaction, offering a comprehensive solution for hands-free device control. This abstract provides insight into the combined capabilities of these projects and their potential impact on accessibility, user experience, and the future of interactive computing.
Hierarchical Alignment with Polar Contrastive Learning for Next-Basket Recommendation
Authors:   Assistant Professor, Department of Information Technology, Er. Perumal Manimekalai College of Engineering, Hosur,  Tamil Nadu, India., Sathish C. , D Vinnarasu , S Arun Kumar , M Gowtham , V Santhosh
Published: May 2024

Next-basket recommendation methods focus on the inference of the next basket by considering the corresponding bas- ket sequence. Although many methods have been developed for the task, they usually suffer from data sparsity. The number of inter- actions between entities is relatively small compared to their huge bases, so it is crucial to mine as much hidden information as possible from the limited historical interactions for prediction. However, the existing methods mainly just treat the next-basket recommendation task as a single-view sequential prediction problem, which leads to the inadequate mining of the information hidden in multiple views, and the mining of other patterns in the historical interactions is neglected, thus making it difficult to learn high-quality representa- tions and limiting the recommendation effect. To alleviate the above issues, we propose a novel method named Hap CL for next-basket recommendation, which mines information from multiple views and patterns with the help of polar contrastive learning. A hier- archical module is designed to mine multiple patterns of historical interactions from different views at two levels. In order to mine self- supervised signals, we design a polar contrastive learning module with a novel graph-based augmentation approach. Experiments on three real-world datasets validate the effectiveness of Hap CL.
Sign Tone: Two Way Sign Language Recognition and Multilingual Interpreter System Using Deep Learning
Authors:   Assistant Professor, Department of Information Technology, Er. Perumal Manimekalai College of Engineering, Hosur, Tamilnadu, India., Surya S. , S Saranya , R Swetha , G Hemashree
Published: May 2024

In this paper, a comparative experimental assessment of computer vision-based methods for sign language reclog- nation is conducted. By implementing the most recent deep neural network methods in this field, a thorough evaluation on multiple publicly available datasets is performed. The aim of the present study is to provide insights on sign language recognition, focusing on mapping non-segmented video streams to glosses. For this task, two new sequence training criteria, known from the fields of speech and scene text recognition, are introduced. Furthermore, a plethora of pretraining schemes is thoroughly discussed. Finally, a new RGB+D dataset for the Greek sign language is created. To the best of our knowledge, this is the first sign language dataset where three annotation levels are provided (individual gloss, sentence and spoken language) for the same set of video captures
SDS-Page Analysis Of Cysticercus tenuicollis In Vitro And In Vivo In Basrah Province/ Southern Iraq
Authors: Shakir Huda , AL-Azizz Suzan , AL-jadaan Shaker
Published: May 2024

The larval stage Cysticercus tenuicollis was isolated from slaughtered sheep and goats at the Basrah slaughterhouse with 30 samples. In vitro 16 samples, 2 control, and 14 were treated with plant extracts and novel chemical compounds.   In vivo 14 sample,1 control and 13 treated with plant extracts and novel chemical compounds.. SDS- page electrophoresis using the gel as separation gel of larval stage Cysticercus tenuicollis. Lanes (C) control, (A) Syzygium aromaticum, (B) Capparis spinosa, novel acylselenourea, i.e., 4-Nitro-N-((4-(N-(pyrimidin-2-yl) sulfamoyl) phenyl) carbamoselenoyl) Benz amide (1), 4-Methyl-N-((4-(N-(pyrimidin-2-yl) sulfamoyl) phenyl) carbamoselenoyl) Benz amide (2), 4-Nitro-N-((4-nitrophenyl) carbamo selenoyl) Benz amide (4), N-(2,6-dioxo-1,2,3,6-tetrahydropyrimidine-1-carbonoselenoyl)-4-nitrobenzamide (5) and novel acylthiourea 4-Methyl-N-((4-(N-(pyrimidin-2-yl) sulfamoyl phenyl) carbamothioyl) Benz amide (3).  The rats were administered plant extracts and synthesis compounds orally via mouth for 15 days, Then the rats were dissected, the cysts were isolated, and their SDS page was measured.The results found in in vitro, all plant extracts, and synthesized compounds bands ranged from 67 to 17KD. In contrast, the protein bands of cysts varied from 67 to 17KD in vivo whereas Capparis spinosa and the synthetic chemical (5) showed no bands.  This study recorded a clear effect on protein cotenants of C. tenuicollis which was treated with two plant extracts C. spinosa and S. aromaticum, and five novel chemical synthesized compounds in vitro and in vivo by SDS- PAGE as compared with untreated.
Exercise Cause Patellofemoral Pain among Young Adult: a Cross Sectional Study
Authors: Aziz Zekra , Sdeeq Hardi , Aziz Narin , Khder Handren , Abdullah Shiraz
Published: May 2024

Abstract
Patellofemoral pain syndrome (PFPS) is a prevalent musculoskeletal injury affecting both athletes and non-athletes, characterized by anterior knee pain. Diagnosis can be difficult due to similar symptoms with other conditions. Treatment should focus on overall rehabilitation, including strengthening and stretching exercises, rest, ice, bracing and taping. The knee joint is complex and plays an important role in daily activities, but is also one of the most commonly injured joints.This study was conducted at the University of Erbil Technical and Medical Health College to investigate PFPS in college students aged between 20-40 years there were 102 participants. A self-report questionnaire was used to collect data on biographic information. It was found that instead of the knee pain is more among the athletic group but the result statistically insignificant predictor of knee pain among the study participants P-value = 0.823. Finally, our study concluded that athletic and non-athletic developed PFPS , but athletic more than non- athletic , male and female affected by this condition, also types of exercises have effect according to results strengthen and stretching exercise they do for example football, fitness caused PFPS.