bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementation of novel team-based and flipped classroom technique to promote self-directed learning in the first MBBS students: A mixed-method approach
Authors: Ruprai Reena , Srivastava Tripti , Ruprai Balbir , Sharif Haya
Published: April 2024

Background: Globalization has significantly impacted the field of medical education. Medical students need to be more competent to adapt to diverse patient populations and medical practices, understanding the cultural differences, and overcoming the language barriers. While the cognitive domain is important, it cannot fulfill the other domains of learning (affective, psychomotor). Therefore, medical education has to be enhanced to produce well-rounded health-care professionals. Integrating traditional teaching with interactive learning methods can bridge the gap between theoretical knowledge and practical application. Flipping the classroom is one such interactive teaching method that prioritizes the needs, interests, and autonomy of students. By organizing the students into small teams to solve problems and discuss cases, it additionally encourages accountability within the team, which further enhances enthusiasm and commitment to their studies.

Aim and Objective: This team-based learning (TBL) in the settings of the flipped classroom (FCR) model can promote self-directed learning (SDL), critical thinking, and pursuing lifelong learning, which was the objective of the present study.

Materials and Methods: The study was conducted on 200 undergraduate 1st-year MBBS students, 100 each in the study and control groups. The study group was subjected to flipped classroom (FCR) and the control group to traditional large group teaching. A pre-class assessment (pre-test) using Google Forms, including MCQ, open-ended questions, and case-based physiology, was administered to both the study and control groups of students. In the study group, the team test was conducted in the class. Both groups were subjected to a post-test to evaluate the efficacy of the flipped classroom over the traditional lecture. Qualitative feedback and a focus group interview were taken from the study groups to get the insight of the students regarding the flipped classroom. The incorporation of seminars in the study group further enriched the contents with lucidity of concepts.

Results: In the comparison of the pre-test and post-test assessment scores, there was a weighty improvement after the post-FCR session among the study group. Furthermore, the comparison of the pre-test and team-test scores revealed the effectiveness of TBL among the study group students. Thus, the amalgamated approach of FCR with TBL enhances student engagement and comprehension of course material. It also boosts SDL, empowering the students to take ownership of their learning journey.

Conclusion: Thus, employing a combination of teaching and learning techniques can be more promising than didactic teaching for cultivating medical students with SDL abilities, and certainly flipped classroom and TBL can improve learning outcomes in medical education, creating a more engaging and stimulating learning environment.
A study to assess the prevalence of insomnia and its association with depression, anxiety, stress, and hypertension among adults in the urban field practice area of Medical College, Kolkata
Authors: Mazumdar Sayantan , Jainendran Anjali , Mondal Sudipto , Chakraborty Arup
Published: April 2024

Background: Insomnia is a really disturbing illness, leading to fatigue (mental and physical), with social, interpersonal, and professional impairment. Insomnia is among the most common symptoms seen in a primary care setting and is related to several psychological and behavioral factors. Insomnia and hypertension often coexist and it is recognized that stress contributes to blood pressure elevation.

Aims and Objectives: The objective of this study was to assess the occurrence and severity of insomnia, level of mental distress, and proportion of hypertensive participants and to find out their interrelationships among adult residents of the urban field practice area of Medical College Hospital, Kolkata.

Materials and Methods: A cross-sectional, descriptive study of adult residents of the urban field practice area of Medical College Hospital, Kolkata. A pre-tested, structured, pre-validated schedule was used to interview 86 participants. Software called Statistical Package for the Social Sciences, version 21.0, was used to analyze the data.

Results: Thirty-six (41.86%) were suffering from clinical insomnia. Eighteen (20.92%) participants were pre-hypertensive and 30 (34.90) were hypertensive. Sixty participants had some levels of depression, 51 participants experienced varied levels of anxiety, and 36 were experiencing stress. Positive correlations were established between Insomnia and mental distress.

Conclusions: The findings of the study reveal a concerning prevalence of insomnia among participants. Our analysis shows insomnia to be more prevalent in older age groups, married individuals, and people living in mixed housing. Insomnia is more common among people with mental distress with most occurrance among individuals who are stressed, which emphasizes the importance of addressing insomnia within the broader concept of mental health.
Metabolomics approach for the etiopathogenesis of polycystic ovarian syndrome
Authors: Bhattacharyya Sukanti , Barik Sukumar , Gupta Siddhartha , Saha Sudarsan , Goswami Madhuri , Goswami Utpal , Samashaptak Samashaptak
Published: April 2024

Polycystic ovary syndrome (PCOS) is a complex and multifaceted disorder that has been extensively studied from various angles, including genomics, metabolomics, and other multiomics approaches. This narrative review seeks to provide an updated understanding of PCOS, with a particular focus on metabolomics. PCOS encompasses four primary phenotypes: Classic PCOS with or without polycystic ovary morphology, ovulatory PCOS, and non-hyperandrogenic PCOS. Each phenotype exhibits distinct clinical and biochemical characteristics. Classic PCOS, characterized by hyperinsulinemia, insulin resistance (IR), and metabolic complications, has garnered significant attention in recent studies. In the pursuit of unraveling PCOS’s pathophysiology, researchers have embraced a multiomics approach, exploring the genome, epigenome, transcriptome, exosomes, proteome, and metabolome. The genomic landscape of PCOS includes genes related to androgen synthesis, regulation, insulin receptors, and growth factors, among others. Epigenetic mechanisms have also been investigated, revealing the roles of non-coding RNA, histone acetylation, and deacetylation. Transcriptomic biomarkers and mitochondrial RNAs targets, such as miR-9 and miR-32, have been explored in granulosa cells of PCOS patients. Metabolomics studies have identified various biomarkers and metabolic pathways that differentiate PCOS from healthy individuals. A diverse range of alterations in carbohydrate and lipid metabolism has been observed, shedding light on the underpinnings of PCOS-related metabolic dysfunction. These studies have uncovered numerous biomolecules with potential relevance to PCOS, including kininogen 1, cytoketatin 9, and many others. In addition, the intricate relationships between IR, inflammation, and metabolic factors have been elucidated. Recent research extends beyond high-end research centers, even using urine samples to identify metabolomic markers for PCOS. This approach has led to the discovery of distinct biomarker panels related to metabolic pathways that differentiate PCOS from healthy subjects. In summary, PCOS is a complex and heterogeneous condition, with multiomics studies offering promising avenues for a deeper understanding of its pathophysiology. These studies may ultimately provide valuable insights that can revolutionize the diagnosis and treatment of PCOS, ending a centurylong scientific expedition with a crescendo of discoveries.
Constraints and opportunities for organic crop production in areas of high agricultural productivity : exploring the diversity of on-farm management practices in organic cereal production with a focus on crop sequence, yield variability and nutrient supply
Authors: Reumaux Rafaelle
Published: April 2024

Agricultural intensification has led to simplified production systems characterised by uniform arable landscapes and a low diversity of cropping systems across Europe. Organic farming has been put forward as one option for sustainable agriculture. However, studies assessing the diversity within organic cropping systems, and exploring processes that occur on farms as well as across different biophysical conditions are rare. The aim of my thesis was to examine the current diversity in organic farming practices, and to explore management alternatives to foster the increase in productivity of organic arable farming in highly productive areas. With the help of extensive national farmer reported data over a 10-year period, and on-farm data from 67 fields in south and southwestern Sweden, I identified large variations in both crop sequences and cereal yield in organic agriculture. The revealed disparities create an opportunity to make organic arable farming more profitable through adaptations in management practices, such as timely nutrient supply, and the implementation of precision agricultural methods to quantify within-field variation in organic cropping systems. I tested the application of biogas digestate as fertiliser to growing wheat, following perennial grass-legume ley, and found it to be a promising nitrogen management strategy to increase grain yield and protein content. My research findings contribute to the understanding of how organic crop production and productivity can be improved by integrating knowledge of site-specific biophysical processes with agronomic and ecological aspects of the cropping system.
Phenotypic and genetic diversity in wild and domesticated timothy and related Phleum species : implications for breeding
Authors: Rahimi Yousef
Published: April 2024

Timothy (Phleum pratense L.) is a perennial grass widely cultivated for forage production and grazing in cold temperate regions. Higher temperatures and longer growing seasons caused by climate change require new adapted timothy cultivars. To broaden the gene pool for breeding, the overall aim was to understand the phenotypic and genetic diversity in the hexaploid timothy and the related diploid species P. nodosum and the tetraploid P. alpinum. In total 246 wild and domesticated accessions of different geographical origins were evaluated as individual plants in field and greenhouse. Large diversity among species and groups of accessions was found for biomass, development and production of the different tiller types; vegetative, generative and non-flowering elongated tillers. Within timothy, no significant difference was found in biomass between wild and cultivar groups of accessions. However, cultivars showed later emergence and tillering, but reached stem elongation and heading earlier than wild accessions, showing that an overall faster development has been favored in cultivars. Timothy cultivars had a higher percentage of generative tillers than wild accessions, which had more vegetative tillers that increased with latitude of accession origin. P. nodosum cultivars produced the highest number of non-flowering elongated tillers of all accessions and species, while no such tillers were found in P. alpinum. Thirty-three of the accessions were evaluated for genetic diversity, population differentiation, and signature of selection using whole genome resequencing. The genomic analyses revealed a considerably higher number of single nucleotide polymorphisms (SNPs) in timothy and P. nodosum compared to P. alpinum. A more extensive pattern of linkage disequilibrium, a lower rate of observed heterozygosity, and a higher rate of inbreeding were also found in P. alpinum, indicative of partial or complete self-pollination in this species. In timothy and P. nodosum, low relative divergence (FST) was observed when comparing cultivars with wild accessions, indicating that there has been little genetic divergence from the wild populations due to domestication. However, the genomic pattern of FST and haplotype genome scan tests showed that some genomic regions were highly differentiated, thus indicating regions affected by positive selection. These regions are involved in crucial biological processes, exemplified by the coding genes g22404, g39371, and g35607, which play key roles in biosynthesis of structural polymers like lignin and its precursors, which affect forage nutritive value and digestibility. The identified phenotypic diversity and genomic resources can be integrated in future breeding.
Effectiveness of education-based diabetes intervention on diabetes-related knowledge among persons over 60 years: An experimental study
Authors:   Department of Human Kinetics and Health Education, Faculty of Education, University of Nigeria, Nsukka, Nigeria, Ugwu Uchenna Cosmas , Ogbonna Ifeanyi Dandy ,   Department of Human Kinetics and Health Education, Faculty of Education, University of Nigeria, Nsukka, Nigeria, Ene Osmond Chukwuemeka ,   Department of Human Kinetics and Health Education, Faculty of Education, University of Nigeria, Nsukka, Nigeria
Published: April 2024

Worldwide, diabetes mellitus (DM) is a major health challenge to the elderly population. This study evaluated the effectiveness of education-based diabetes intervention (EBDI) on diabetes-related knowledge (DRK) among persons over 60 years. It also determined the significant differences within study groups and demographic variables of the participants. An experimental research design employing pre- and post-test measures involving intervention (n = 410) and control (n = 410) groups was adopted. A sample size of 820 eligible participants were investigated. The content of EBDI was taught to the participants in the intervention group. Data collection was done using a “Diabetes-Related Knowledge Questionnaire (DRKQ)” demonstrating a reliability index of 0.82. Using frequency counts, percentage scores and independent chi-square statistics, all data were analyzed at a significance level of 0.05. It was found that EBDI has a significant effect on DRK of the participants (81%). Additionally, there was a significant difference in demographic variables of alcohol consumption, tobacco intake, and marital status (pvalue < 0.05) while none was found in gender, age, and education (p-value > 0.05). Also, a significant difference was recorded in the study groups on DRK pretest measures (p < 0.001) while none existed in the groups on DRK post-test scores (p > 0.870). The study concluded that EBDI is significantly effective on DRK among persons over 60 years in Nigeria. Therefore, the need for educational institutions and care providers to adopt reliable education-based intervention such as EBDI, to maximize diabetes care to the elderly population particularly in Nigeria becomes paramount.
Article: Legislation Comment: Considerations on the Digital Markets Act, the Way to a Fair and Open Digital Environment
Authors: Manescu Dragos Mihail
Published: April 2024

This paper aims to present how Regulation (EU) 2022/1925 (the Digital Markets Act) will enter into force, as well as a few points of interest related to the essential provisions of this Regulation which establishes clear rules for large online platforms. The article also tackles important challenges and practical determinations that will have to be taken into consideration in the process of implementing this piece of legislation together with significant legislative developments that will have to be enacted worldwide in order to comply or cooperate with the European legislation in the matter of digital markets.

Digital Markets Act, Regulation (EU) 2022/1925, gatekeeper, Big Tech, core platform services, business users, end users
Policy Note: Strengthening Tax Systems in Developing Countries: The Dutch Contribution
Authors: Belt Thierry , Burgers Irene , Darecki Jan , Oomes Nienke , Schenk Joep
Published: April 2024

The Netherlands has long faced criticism for its role in facilitating tax avoidance through its network of double taxation treaties (DTTs), particularly regarding developing countries, e.g., recently in a report of the Tax Justice Network (TJN). A review of the general Dutch tax policy shows that the country has taken several steps to reform its DTTs, undertaken domestic reforms to address tax avoidance issues, and has been offering tax-related capacity development (CD) programmes to developing nations. The authors ascertain from the results of an analysis of the parliamentary debate in terms of the contents of DTTs with developing countries and changes in domestic law as well as interviews with several stakeholders in the Netherlands and in developing countries show that the Netherlands is still likely to play a prominent role in global tax avoidance. This applies despite the significant changes in policy and substantive and procedural law. Not all loopholes have been closed, and adopting anti-abuse clauses in DTTs with developing countries – a central part of the Dutch response – has been somewhat disappointing. Moreover, the process of providing tax-related CD is not optimal, and tensions remain regarding the goals that the Netherlands attempts to pursue in tandem, potentially leading to policy incoherence. Moreover, unilateral action is unlikely to result in a reduction of global tax avoidance as financial flows – and therewith tax avoidance – are likely to shift to other countries. The global minimum tax (GMT) and other parts of the two-pillar proposal are more likely to offer a breakthrough for certain types of tax avoidance.Hence, a continued international dialogue on tax matters is needed to address all types of tax avoidance. In the parliamentary discussion on this topic, the Dutch Secretary of State for Finance reconfirmed the policy to assist developing countries in strengthening their tax systems in respect of the GMT through being in favour of a broader scope of Amount B, providing technical assistance in the implementation process of Pillars 1 and 2, and through the OECD’s Tax Inspectors Without Borders (TIWB) project. The objective of this article is to add to the policy discussion on how to strengthen the tax systems of developing countries.

Tax avoidance, double taxation treaties (DTTs), international tax policy, Tax avoidance, double taxation treaties (DTTs), international tax policy, capacity development (CD), anti-abuse clauses, policy coherence, developing countries, BEPS, Addis Tax Initiative (ATI), Foreign Direct Investment (FDI).
The Intellectual Representative of the School of objective Criticism: Azhar Ghouri
Authors: Abid Dr Muhammad Amjad , Dr. Fouzia Shehzadi
Published: April 2024

Object oriented approach of criticism has its roots in post continental philosophies based on perdiction and vision. Azhar Ghouri has strong advocacy for universalization of values and global adaptation of critical thinking styles. He believes in sublimity of Art and architecture regardless of classic or modern as a label for critical analysis. He believes in exploration of ideas and vision with insight in any piece of literature beyond its mechanical structure. Colonialism, exploitation, industrialisation, hunger, fear, shelter, peace and justice are controversial in global village according to A. G which needed to be reflected in art and literature in modes of individual’s interest. Author of this artical has explored gross root level realities and fundamental beliefs of object oriented approach in literary works of A.G. The agitation through pen has always been an eye opener initiative to stimulate the reader same has been highlighted by the author in the artical.
AVALIAÇÃO E PADRONIZAÇÃO DA PCR EM TEMPO REAL PARA IDENTIFICAÇÃO DE ESPÉCIES ANIMAIS EM ALIMENTOS PROCESSADOS
Authors: Fröder Hans , Gheno Brenda Picoli , Righi Eléia
Published: April 2024

O aumento da conscientização dos consumidores sobre alimentos decorre principalmente de motivos ideológicos, questões relacionadas à saúde e religião, bem como da sensibilização crescente devido aos frequentes casos de fraude alimentar. Sendo assim, é possível verificar a correta declaração de ingredientes de origem animal por meio da detecção de uma sequência específica de DNA dos ingredientes de origem animal correspondentes, uma vez que cada espécie possui um único genoma. Este estudo teve como objetivo avaliar se o sistema iniciador-sonda espécie-específico detecta individualmente cada espécie animal (bovino, suíno, frango, ovino e equino) utilizando a sonda TaqMan® e o sistema iniciador-espécie-específico com o corante SYBR® Green. Os resultados revelaram que os sistemas primer-sonda são específicos e amplificam corretamente os respectivos DNAs de cada espécie animal, mesmo quando combinados em um único microtubo. O gene de referência (miostatina) foi utilizado para verificar a amplificação de ácidos nucleicos e como controle positivo (também co-amplificado na PCR), indicou a exclusão de resultados falso-negativos. Observou-se que as informações contidas nos sete produtos cárneos processados estavam 100% condizentes com o rótulo do fabricante. Tanto a sonda quanto o mastermix SYBR® Green apresentaram resultados concordantes, embora, para o corante, seja necessário reduzir o número de ciclos para evitar resultados falso-positivos ou acúmulo de sinal fluorescente nos ciclos finais da PCR.
Organization of correctional work for children with dyslexia at primary school
Authors: Nurseitova Zhanar , Abayeva Galiya , Shubayeva Galiya , Karayeva Tileuzhamal , Rakhimova Aray
Published: April 2024

Relevance. The analysis of disorders connected with reading skills is important because it creates serious obstacles in mastering of the curriculum subjects by children of primary school.

Purpose. The use of speech therapy techniques described in the article, along with traditional corrective and pedagogical support, will help to overcome dyslexia of primary school children. Children with a specific reading disorder, which has influence on academic performance, must be analysed through psychological and pedagogical approach to overcome it.

Methodology. The method given in this article can be used as a propaedeutic component in the preschool period of literacy training. Proposed exercises can be included into the system of traditional speech therapy classes to overcome reading disorders.

Results. In this study, we are focused on experience of specialists, who deal with specific reading disorders providing corrective speech therapy for students. Teachers, psychologists, neurophysiologists and neuropsychologists have carried out the study of reading and writing disorders all over the world, but even now, this problem remains one of the most complex and insufficiently studied one.

Conclusions. It is recognized that foundational school education hinges on a child's proficiency in rapid and precise reading, coupled with the capacity to accurately comprehend the core content of the text. Speech therapists, primary school teachers and parents of special individual and subgroup classes can use exercises presented in article.
Possibilities of using the legacy of Turkic philosophers in the development of the professional personality of future teachers
Authors: Mendikulova Zhazira , Atemova Kalipa , Rysbekova Aiman , Kuralbayeva Aliya , Abdurakhmanov Nurmukhamed
Published: April 2024

Relevance. Modern education is a necessary element of society and culture, capable of preserving the socio-cultural features of the country, promoting the development of youth, their integration into traditional culture, helping the younger generation to choose a lifestyle according to the public values. The study covers one of the urgent problems of professional training of future specialists based on Kazakh values, which originate from the legacy of Turkic scholars. Moreover, the study provides some methods, means, and forms of using the legacy of Turkic scholars in the professional training of pedagogical specialists in higher educational institutions of the Republic of Kazakhstan. Purpose. The purpose of the study is to identify the level of use of the legacy of great scholars in the professional training of teachers in higher educational institutions. Methodology. In the course of the study, the following methods are used to solve the tasks and verify the initial assumptions: general logical methods and techniques, theoretical cognition, empirical research, a systematic approach to historical, pedagogical, and logical analysis, generalisation and analysis of pedagogical experience; modelling of pedagogical processes; pedagogical design. Results. The study focuses on the ideas contained in the legacy of the great Turkic scholars on educating the personality of a specialist. The model of the professional personality presented in their writings is considered from a theoretical standpoint. Some effective combinations of world trends with elements of Kazakh ideas in the professional development of future specialists are established. Conclusions. The study determined the level of students' knowledge of Kazakh ideas in the content of academic disciplines, their use in practice. In addition, the study attempted to develop this knowledge through the organisation of various forms of education.
PSYCHOLOGICAL FACTORS AFFECTING INVESTORS DECISION MAKING
Authors:   MBA Student, Faculty of Management Studies, CMS Business School, Jain (Deemed to be University), Tiwari Utkarsh
Published: April 2024

The paper investigates the psychological factors influencing investors' decision-making processes, with a particular focus on how biases affect risk tolerance and investment decisions. Utilizing a comprehensive methodology that includes ANOVA, regression, and correlational analysis, this study examines the effects of biases such as overconfidence, anchoring, herd behaviour, regret aversion and optimism biases on investment decisions. The research findings reveal significant correlations between these psychological biases and investor behaviour, highlighting their impact on risk assessment and decision-making strategies. To ensure the reliability of the research tools, a Cronbach’s Alpha test was conducted, confirming the consistency of the instruments used. The study's results challenge the traditional notion that states that investment decisions are driven solely by logical reasoning and underscoring the substantial influence of emotional and cognitive biases. These insights contribute to the field of behavioural finance by enhancing understanding of the psychological underpinnings in investment decision-making and suggesting practical applications for financial education and advisory services. The paper advocates for the inclusion of psychological bias recognition in investor education, proposing that such an approach can significantly improve decision-making and lead to better investment outcomes. The implications of this research extend beyond individual investors to financial advisors and policymakers, offering them a foundation to develop strategies and regulations that help mitigate bias-driven investment mistakes, ultimately fostering greater financial well-being and market efficiency. Keywords: Investor Decision Making, Risk Tolerance, ANOVA, Regression Analysis, Correlational Analysis, Overconfidence Bias, Anchoring Bias, Herd Behaviour Bias, Regret Aversion Bias, Optimism Bias, Behavioural Finance.
ALZHEIMER’S DISEASE DETECTION USING DEEP LEARNING
Authors:   TIRUMALA ENGINEERING COLLEGE, LATHA DANDA PUSHPA RAGA
Published: April 2024

Image processing is a technique for applying various procedures to a picture in order to improve it or extract some relevant information from it. It is a kind of signal processing where the input is an image and the output may either be another picture or features or characteristics related to that image. Image processing is one of the technologies that is currently expanding quickly. It is a primary subject of research in both the engineering and computer science fields. For dementia, Alzheimer's disease (AD) is the most prevalent kind. It often shows itself as a steadily declining memory and cognitive function, which makes it difficult for the affected person to live independently and has a significant negative influence on both the affected personand society. At the moment, AD diagnosis depends on medical history analysis, blood testing, behavior analysis, brain imaging, and cognitive testing. But because these processes are arbitrary and uneven, it is difficult to provide a precise forecast for the early phases of AD challenging. A dynamic dual-graph fusion convolutional network is suggested in this paper to enhance the accuracy of Alzheimer's disease (AD) diagnosis. The key contributions of the paper are as follows: The proposed architecture can dynamically adjust the graph structure for GCN to produce better diagnosis outcomes by learning the optimal underlying latent graph, propose a novel dynamic GCN architecture, which is an end-to-end pipeline for diagnosing AD, incorporate feature graph learning and dynamic graph learning, giving those useful features of subjects more weight while reducing the weights of other noise features. Experiments show that our approach achieves great classification results in AD diagnosis while offering flexibility and stability. This project is implemented for the Alzheimer disease classification using Graph convolutional network architecture like CNN with LSTM layer and fit the model in the training and testing and deploy the model for getting the test image output and then compare the accuracy of the model for getting the most perfect model for medical image classification and get theaccuracy of CNN- LSTM layer with 98%.
EMERGENCY BRAKING SYSTEM IN FOUR-WHEELER
Authors:   Asst Professor, Dept of Mechanical Engineering, Visakha Institute of Engineering and Technology, K Chandana
Published: April 2024

Automatic Emergency Braking (AEB) is a braking system which helps to apply brakes automatically under the condition of emergency and helps to mitigate the severity of a crash. This paper deals with the study of designing and working of automatic emergency braking system using the various fundamentals of mechanical and electronics engineering popularly known as ‘Mechatronics’. In this system Ultrasonic Sensors with the combined use of Stereo Cameras will detect an obstacle in front of the vehicle and it will tell us the relative distance between the obstacle and the vehicle. The ECU will then judge if an accident is likely to happen or not and the brakes will be applied automatically under this system. Key Words: Heat exchanger, Perforated rings, Reynolds number, Overall heat transfer coefficient.
Implementation on Fake Instagram Profile Identification and Classification Using Machine Learning
Authors:   Computer Engineering SAE, R.S Prof. Meshram
Published: April 2024

Fake Instagram profiles are a growing problem, as they can be used to spread false information, deceive people, and harass and threaten others. The project aims to develop a robust and scalable system for identifying and classifying fake Instagram profiles using machine learning. This system will collect a large and diverse dataset of Instagram profiles, both real and fake. The data will be preprocessed and cleaned, and then relevant features will be extracted. Various machine learning algorithms will be evaluated to select the best model for identifying and classifying fake Instagram profiles. The trained model will be evaluated on a hold-out test set to ensure that it is able to generalize to new data. Once the model is evaluated and deemed satisfactory, it will be deployed in a production environment to identify and classify fake Instagram profiles in real time. The system is expected to have a significant impact on the fight against fake Instagram profiles. By identifying and classifying fake Instagram profiles, the system can help make the social media platform safer and more secure for everyone.. Key Words: Profile identification, Data preprocessing, Online security, User authentication, Model training, Machine learning.
IMAGE STEGANOGRAPHY USING MID POINT TRANSFORMATION TECHNIQUE
Authors:   Associate Professor, Department of Computer Science & Engineering: Cyber Security & Raghu Engineering College, Prakash S Om
Published: April 2024

The project titled "Image Steganography using Mid-Point Transformation Technique" aims to explore and implement a novel approach to concealing information within digital images while preserving their visual integrity. Steganography is an age-old technique for covert communication, and this project leverages the mid-point transformation method to embed data seamlessly into images. The mid-point transformation technique involves the subtle alteration of pixel values based on the midpoint of neighboring pixels. This process ensures that the changes made to the image are imperceptible to the human eye, allowing for effective data hiding without compromising the overall visual quality. The project will focus on the development of an algorithm to encode and decode hidden information within images using the mid-point transformation technique. Implementation will be carried out using a programming language suitable for image processing, and the project aims to provide a user-friendly interface for ease of use. Key objectives include understanding the theoretical foundations of steganography, implementing the mid-point transformation algorithm, evaluating the effectiveness of the technique in terms of data capacity and visual impact, and comparing the results with existing steganographic methods. Key Words: Image Steganography, Mid Point Transformation, Steganography Techniques, Digital Image Security, Data Hiding, Information Security.
AUTOMATED TOOL FOR RESUME CODIFICATION USING SEMENTIC ANALYSIS
Authors:   Asst Prof Department of Computer Engineering & IETE’S Bharat College of Engineering, Athawale Deepa
Published: April 2024

Agencies and colorful hıgh- position fırms must deal with a large number of new jobs seeking people with varıous resumes. still, managing large quantities of textbook data and opting the best-fit candıdate is more diffıcult and time- consuming. This paper provıdes an overvıew of an ongoing Informatıon Extractıon System design that helps recruiters in ıdentifying the stylish candıdate by rooting applicable informatıon from the capsule. This design presents a system that uses Natural Language Processing (NLP) technıques to prize nanosecond data from a capsule, similar as education, experıence, skılls, and experıence. The recruiting process is made easıer and more effıcıent by parsing the capsule. The proposed system is made up of three modules an administratıon operation system, Fıle upload and parser system, and an informatıon extractıon system. The director wıll upload the applıcant's capsule into the system, and the applicable informatıon wıll be uprooted in a structured format. Using the parsed informatıon from the Resume, HR can elect the stylish candıdate for the job grounded on the company's requirements.
Digitalization in Supply Chain are Changing the Dynamics of Business
Authors:   Master Of Business Administration  School of Business, Raj Deepankar
Published: April 2024

This research paper provides an indepth study on the field of automation and digitalization in supply chain management (SCM) in the textile industry. The study, which compares traditional methods with digital methods, aims to shed light on the development of technology in this field.
MODELLING AND 3D PRINTING OF 2-WHEELER CARBURETOR
Authors:   Assistant Professor, Department of Mechanical Engineering, GNIT, Hyderabad, Telangana., Kumar B. Phanindra
Published: April 2024

Carburetor is a most important component in fuel feed system of spark ignition engines. A carburetor is a device used by a gasoline internal combustion engine to control and mix air and fuel entering the engine. The main structure and largest component of the carburetor is the molded body made from a lightweight alloy or aluminum. This carburetor model is made in a modelling software i.e., SolidWorks and this review examines the use of SolidWorks software for modelling two-wheeler carburetors, exploring its benefits for creating accurate 3D models, simulations, and design communication. It analyzes existing research on modelling various carburetor components and functionalities in SolidWorks, considering factors like detail, design intent, and manufacturability. This study is made for the best 3D model of the carburetor. Keywords: Carburetor, spark ignition engines, SolidWorks, 3D models, modelling.
Comercio internacional del cobre chino-peruano y la expansión del producto bruto interno de China
Authors: De La Torre Julian Cesar Alexander , Alca Chipana Gary Magno , Rebatta Tupac Yupanqui Jair Eduardo , Vargas Salazar Ivonne Yanete
Published: April 2024

Para el desarrollo de este trabajo de investigación de revisión, se plantea como objetivo determinar cómo influye la expansión del producto interno bruto (PIB) chino en el comercio internacional del cobre chino-peruano en el periodo 2006-2019. La metodología utilizada en el estudio fue un análisis cuantitativo, analítico y descriptivo basado en la recopilación de información documental de diversas fuentes, incluyendo datos del Banco Central de Reserva del Perú (BCRP), Instituto Nacional de Estadística e Informática (INEI), Ministerio de Comercio Exterior y Turismo (MINCETUR), y Ministerio de Energía y Minas (MINEN). Los principales resultados a los que se arriba son que el PIB chino sí tiene influencia en las exportaciones de cobre peruanas, mostrando una relación favorable con el tratado de libre comercio (TLC) chino-peruano y la fluctuación de los precios del cobre. Como conclusión, la expansión del PIB de China se relaciona favorablemente con la balanza comercial peruana y un desempeño favorable del PIB Chino implicaría un aumento de las exportaciones peruanas.
Exploring the Impact of the Integrated Think-Pair Share and Active Learning Management on Non-Credentialed Teacher Learning Assessment Competency
Authors: Yotha Nattapon , Wasinee Rungruang Wasinee , Pommarang Wuthikrai
Published: April 2024

This study investigates the effectiveness of an integrated approach combining think-pair share and active learning management in enhancing non-credentialed teachers' assessment competency and compares their learning achievement in educational assessment across pre, post, and delayed examination phases. Utilizing a one-group experimental design, 29 participants were selected through cluster sampling. Instruments included an integrated think-pair-share and active learning management system, along with assessments evaluating participants' assessment knowledge, skills, and attributes. Data analysis involved mean scores, standard deviation, effectiveness index (E1/E2), One - way repeated measure ANOVA, and pairwise comparisons. Results indicate that the integrated learning management plan effectively facilitated teaching assessment competency to non-credentialed teachers at the graduate level, leading to the attainment of expected learning levels within the class. Additionally, it significantly enhanced participants' competency compared to their baseline levels, with sustained effectiveness demonstrated over time.
Universalization of Minimum Wages As A Pipe Dream: Many Discontents of the Code on Wages, 2019
Authors: Bhattacharjee Saurabh
Published: April 2024

The Code on Wages, 2019 (‘Code’) seeks to universalize the law on minimum wages in India by removing the distinction between scheduled and non-scheduled employment that has been central to the application of the Minimum Wages Act, 1948. The Union Ministry of Labour and Employment claims that the elimination of this dichotomy will extend the protection of minimum wages law to more than an estimated fifty crore workers. This paper posits that the goal of universalization of minimum wages may remain a pipe dream due to several explicit exclusions, definitional limitations, and ambiguities in the Code. As a result, not only would many wage workers still remain outside the ambit of minimum wages protection, the coverage of domestic workers, who were earlier covered under the Minimum Wages Act, 1948, may also be imperilled. Further, the exclusion of employment guarantee programmes from the ambit of the provisions on minimum wages also contravenes the constitutional prohibition against forced labour under Article 23. In addition, the Code also fails to address some of the critical structural barriers in the labour economy that have impeded the implementation of minimum wages law so far. This paper argues that the Code’s failure to recognize an entitlement to minimum wages for every wage worker and address the systemic hurdles in the payment of minimum wages undermines the goal of universalization of minimum wages as well as the constitutional mandate on payment of minimum wages
Herstelgerichte dialoog bij zedenfeiten in Vlaanderen
Authors: Lauwaert Katrien , Buntinx Kristel , Verbeeck Pieter
Published: April 2024

Restorative dialogue in sexual offences in Flanders The experience of Moderator vzw

This article presents the experience of Moderator vzw, a Flemish restorative justice organization, in the field of restorative dialogue after sexual offences. Sexual offences are present in every type of restorative dialogue Moderator vzw offers: classical victim-offender mediation, non-related mediation, extra-judicial victim-offender mediation, dialogue groups and the so-called restauration fund. It is a challenging field of work, were risks present in all restorative dialogue come forward more sharply. Different strategies have been put in place to make restorative dialogue possible in a safe and qualitative way. The article concludes with the description of a mediation process between an offender and his rape victims.
Combination Therapy of Prednisone, Azathioprine, and Hydroxychloroquine in Patient with Dermatomyositis
Authors: Swanenghyun Garnis , Yuniaswan Anggun Putri
Published: April 2024

manifestations of inflammatory myopathy accompanied by cutaneous involvement. In patients with cutaneous DM, for the first line of therapy can be given photoprotection, topical steroids, Hydoroxychloroquin (HCQ) or Chloroquine and Quinacrine, while the gold standard in DM myopathy is systemic corticosteroids. Inadequate therapeutic regimens can result in morbidity or complications, especially calcinosis.
Case Presentation: A 29-year-old woman had reddish spots on her face and hands accompanied by pain in her hands, hips, knees and elbows making it difficult for the patient to walk. Found it exists Heliotrop sign, Gottron papule and Gottron sign. The main aim of providing therapy to DM patients is to reduce inflammation, such as minimizing symptoms, especially those related to muscle weakness and improving the patient's quality of life. Glucocorticoids remain the first line therapy option for DM with the choice of oral prednisone 1mg/kgBW/day. Meanwhile, moderate to severe DM specifically should be treated with a combination which contains steroids and immunosuppressants, such as Methotrexate (MTX), Azathioprine (AZA), or Mycophenolate Mofetil (MMF). The therapy regimen must be given appropriately and adequately to minimize the occurrence of complications.
Conclusion: A combination of Prednisone, Azathioprine, andHydoroxychloroquin is effective as a therapy for Dermatomyositis. This can be proven by an increase in muscle strength and the red spots disappearing in this patient.
Los juicios de kussanga. Canibalismo y dominio colonial francés en el sur de Senegal (1926–1928)
Authors: Garcia-Moral Eric
Published: April 2024

Este artículo pretende analizar una serie de juicios por antropofagia que tuvieron lugar entre 1926 y 1928 en la región del Bajo Casamance, en Senegal. Se trata de uno de los procesos más extensos de la historia colonial de Senegal, con más de 180 personas detenidas y 23 juicios distintos. Los juicios tuvieron lugar en un momento crucial para el establecimiento del régimen colonial, poco después de la sistematización de la jefatura colonial en la región. A través de fuentes archivísticas y orales, demostraremos que los juicios no sólo fueron una herramienta utilizada por la administración francesa y los jefes provinciales, cantonales y de pueblo contra las autoridades religiosas locales, sino que también formaron parte de un proceso más complejo en el que participaron otros sectores de la población que aprovecharon los juicios para dirimir rivalidades locales.
Autonomia da vontade coletiva e os limites da atuação do Poder Judiciário
Authors: Narciso Bruno
Published: April 2024

O presente artigo objetiva uma reflexão sobre o princípio da intervenção mínima do Poder Judiciário na análise de normas coletivas de trabalho, conforme introdução, pela Lei nº 13.467/2017, do § 3º ao art. 8º da CLT. A análise é pautada sob o enfoque da autonomia privada coletiva, que possui limitações, mas funciona como instrumento para o fortalecimento liberdade sindical e, por consequência, do Estado Democrático de Direito.
Triagem de meios de cultivo para a produção de biomassa micelial e exopolissacarídeos por Ganoderma spp.
Authors: Silva Danielle Furtado da , Chevreuil Larissa Ramos , Oliveira Júnior Sérgio Dantas de , Silva Giovanna Lima da , Campestrini Luciano Henrique , Sales-Campos Ceci
Published: April 2024

Os cogumelos medicinais, particularmente as espécies do gênero Ganoderma, têm emergido como uma alternativa terapêutica promissora para uma variedade de doenças. Nesse estudo, investigamos onze meios de cultivo na fermentação submersa de G. lingzhi e Ganoderma sp. visando a produção de biomassa micelial e exopolissacarídeos (EPS). Dentre os meios avaliados, apenas dois se mostraram promissores após adaptações. Em 12 dias de fermentação submersa observou-se produção máxima de biomassa micelial e exopolissacarídeos (EPS) por G. lingzhi no meio Melin-Norkrans Modificado (MNM),  enquanto para o Ganoderma sp. o meio POL foi mais promissor no oitavo dia, sugerindo a necessidade de um meio mais completo para um crescimento otimizado. A complexidade da fermentação submersa desses cogumelos é evidenciada por essas diferenças no cultivo e na produção de EPS, ressaltando a importância de ajustar meticulosamente os parâmetros de cultivo para otimizar a produção dos compostos desejados.
UTILIZANDO O GEOGEBRA PARA A RESOLUÇÃO DE QUESTÕES DE GEOMETRIA DA OBMEP
Authors: Vargas Regis Nunes , Linhares Raquel Romes
Published: April 2024

Este trabalho apresenta a utilização do software GeoGebra para resolver questões de geometria da OBMEP. O GeoGebra é destacado como uma ferramenta importante para o ensino de geometria, proporcionando uma compreensão mais clara e dinâmica dos conceitos matemáticos. O software permite que os alunos desenvolvam um raciocínio crítico e reflexivo, conduzindo-os à resolução de problemas. A metodologia envolve a adaptação de uma questão da OBMEP de 2007, utilizando o GeoGebra para criar e manipular formas geométricas. O professor orienta os alunos na construção de conceitos e incentiva a reflexão sobre as estratégias utilizadas. O GeoGebra não substitui o papel do educador, mas complementa, fornecendo ferramentas que ampliam as possibilidades de ensino e aprendizagem. A combinação de tecnologia e metodologia adequada pode potencializar o desenvolvimento do raciocínio geométrico e a resolução de problemas complexos. O GeoGebra, aliado a uma abordagem pedagógica adequada, é um recurso promissor para o ensino de geometria.