Volume 12 | Issue 4

 Abstract

Single crystal of cadmium manganese oxalate crystals was grown by using agar - agar gel method at room temperature. Effect of various parameters on the growth of cadmium manganese crystals has been studied and reported. X- ray Diffraction analysis was done to determine the structure of grown crystal. Orthorhombic crystal structure was found of grown crystal. The chemical analysis has been performed by FTIR to denote the functional group of grown crystal. Scanning Electron Microscope images highlights that crystals were grown by layer deposition. Elemental analysis carried out by Energy Dispersive X-ray Analysis (EDAX). Thermal behavior of grown crystal studied by using Differential Scanning Calorimeter (DSC).

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Single diffusion, XRD, FTIR, SEM, DSC, EDAX

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Current challenges in healthcare involve the delayed detection of critical events due to the lack of real-time capabilities in traditional EMG signal processing systems. To overcome this, our solution integrates IoT technology to capture, process, and transmit EMG data in real-time. Key objectives include the development of real-time EMG signal processing algorithms, secure IoT communication channels, and an effective alert mechanism to notify healthcare providers of clinically significant events. Challenges such as data security, privacy, and device compatibility are addressed to meet healthcare industry standards. The envisioned outcome is an advanced IoT-enabled EMG signal management system that ensures prompt alerts, facilitating the guardian to remotely monitoring the patient with neuromuscular disorders.

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Real-time EMG processing, IoT-enabled EMG, Neuromuscular disorders, Remote patient monitoring, Clinical alerts

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Predicting stock prices accurately remains a challenging task, driving continuous research efforts in leveraging various machine learning, deep learning, and statistical analysis techniques. This paper presents a comparative study of four different models BiLSTM, GRU, CNN-LSTM, and ARIMA for stock price forecasting, using data from the S&P 500 index and five prominent technology companies: Meta, Apple, Google, Netflix, and Amazon. The study aims to identify the most effective model for maximising returns on investment in stock trading by forecasting future trends. Leveraging a dataset sourced from Yahoo Finance, comprising historical stock market data, we evaluate the performance of each model based on error metrics such as , Mean Squared Error (MSE), Root Mean Square Error (RMSE) and Mean Absolute Error (MAE). The research findings highlight the strengths and weaknesses of each model in accurately predicting stock prices. Lower RMSE values indicate higher accuracy in predicting stock prices, guiding investors towards more informed decision-making. Through this comparative analysis, investors can identify the optimal model for stock price forecasting, thus enhancing their investment strategies and maximising returns.

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CNN, LSTM, GRU, ARIMA, MSE, RMSE, MAE, Forecasting, Stock Market

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Human rights education is crucial for fostering a culture of respect for human rights. This qualitative research paper investigates the role of human rights literature in advancing human rights education, focusing on textual analysis. By examining the literary elements and devices in selected fictional works, this study aims to reveal how literature effectively conveys human rights principles. The research highlights the significance of literary terms, such as symbolism, allegory, and characterization, in transmitting the concept of human rights education. Furthermore, this paper presents examples from selected fictional works to demonstrate the ongoing relevance of literature in addressing contemporary human rights issues.

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 Keywords

Textual Analysis, Text Analytics, Human Rights Literature, Human Rights Education, Literary Terms

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Introduction: Globally the social media platform are distributed widely and there is no proper control over it, makes it impossible ot fight against cyber criminals. Cyber security is an invention that's depict to secure networks and devices from external warning. It is a system of protecting computers, servers, mobile devices, electronic systems, network and data from suspicious attacks. It is also known as information security. The risks manifested by cyber security come in 3 folds; cybercrime involves mono group or poly groups targeting systems ofr financial gain or lead to disturbances. Cyber-attack often includes information gathering related to political motivation. Cyber terrorism makes the people to show panic or fear in weakening the electronic devices. Through regular seminars, training programs and conferences the users and social media content providers can be educated about the cybercriminals and its consequences. The aim of the study is to assess the level of awareness of cybersecurity measures among nursing students at selected college. An Experimental research design was used in this study. A total of 30 students were selected by using Non probability convenience sampling technique. The modified standardized tool (CASM-S) was used to collect data. Conclusion:The findings revealed hence there is a highly significant difference between pre and post-test level of awareness among students at the level of p<0.0001. The researcher needs to understand the level of awareness of cybersecurity measures and its consequences of cybercrime

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Cybersecurity,cybercrime,nursing students, modified standardized tool (CASM-S).

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Employee motivation is a complex and vital aspect of organizational behavior and management. It involves understanding what drives individuals to perform at their best within a workplace setting. Factors such as recognition, rewards, job satisfaction, autonomy, and a sense of purpose all play significant roles in motivating employees. Research in this area often explores various theories, such as Maslow's Hierarchy of Needs, Herzberg's Two-Factor Theory, and Expectancy Theory, to understand the underlying mechanisms of motivation. Moreover, the modern workplace dynamics, including remote work and the gig economy, have added new layers to the understanding of employee motivation. Ultimately, effective employee motivation strategies are essential for fostering a productive and engaged workforce, leading to higher levels of job performance, satisfaction, and overall organizational success.

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Recognition, Rewards, Job satisfaction, Autonomy Purpose, Maslow's Hierarchy of Needs, Herzberg's Two-Factor Theory.

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Azo dyes, Fenton process , Direct blue 15 , UV spectrophotometry, Wastewater, Calibration Curve

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The goal of the study paper was to illustrate the value of an experiential approach, a flexible ideation process, and improvements in the field of design. It seeks to highlight the importance of the experiential learning approach in design education. Based on a few particular design projects completed by the designer and design practitioners, the diverse efficacy and impacts of design practise have been highlighted throughout the paper. Each project has a unique contextual narrative that gives viewers important visual elements and emotional values. The research has now come to a conclusion: Experiential learning results are mostly associated with the critical thinking skills and user-oriented design practices, which are more successful than conventional approach of design education.

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Design, Effectiveness, experiential learning, analytical thinking, outcomes, projects

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This study explores the crucial role of family in education, emphasizing the importance of equal access to education for all individuals, regardless of gender or other identities. Drawing on constitutional articles and acknowledging the significant influence of family in shaping educational outcomes, the study aims to understand students' perspectives on family involvement in their education. Through a survey conducted among undergraduate students in the Delhi National Capital Region (NCR), the study seeks to collect feedback, evaluate family engagement, and promote mutual trust and collaboration between students and their families. By recognizing diverse backgrounds and celebrating family contributions to education, the study aims to highlight the synergy between teachers and families for the holistic development of students. This research investigates the important contribution of family members such as parents, siblings, and guardians to an individual's education. Families accord to learning through various means, including fostering curiosity, assisting with homework, and engaging in conversations about school. By creating a secure and nurturing atmosphere, families facilitate the natural progression of learning. This study examines the diverse ways in which families offer support and underscores the importance of their involvement for an individual's academic achievement and prospects.

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Family members, vital role, Motivation, crucial.

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Non-coding RNAs (ncRNAs) constitute a diverse family of RNA molecules that regulate various cellular processes, with implications spanning from basic molecular biology to clinical applications. This review explores the multifaceted roles of ncRNAs in gene regulation, focusing on their involvement in cancer biology and potential applications as diagnostic and therapeutic targets. NcRNAs encompass a wide array of molecules, including microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and others, each exerting regulatory effects on gene expression through various mechanisms. MiRNAs, for instance, regulate mRNA transcripts via sequence-specific interactions, while lncRNAs modulate gene expression at transcriptional and post-transcriptional levels. In cancer, dysregulated expression of ncRNAs contributes to tumorigenesis, metastasis, and drug resistance, highlighting their potential as biomarkers for diagnosis and prognosis. Liquid biopsies, utilizing circulating tumor-derived ncRNAs, offer less invasive alternatives to traditional tissue biopsies for cancer detection and monitoring. Additionally, advancements in RNA sequencing technologies enable comprehensive profiling of ncRNAs, aiding in the identification of cancer-specific signatures. Therapeutically, ncRNAs hold promise as targets for innovative treatments, such as RNA-based gene silencing therapies. Clinical trials investigating ncRNA-targeted therapies have shown encouraging results in diverse cancer types, although challenges remain in ensuring efficacy and safety. Overall, the burgeoning field of ncRNA research offers insights into the complex regulatory networks governing cancer biology and presents opportunities for the development of novel diagnostic tools and therapeutic interventions.

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Non-coding RNAs (ncRNAs), Cancer biology, Gene regulation, Diagnostic biomarkers, Therapeutic targets, Liquid biopsies, RNA-based therapies

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Forget about possessing power and authority; real leadership unleashes potential. Empathetic chameleons, great leaders view the world from the perspective of every person of their team. This encourages engagement rather than only obedience. Yet empathy is insufficient. enabling leaders to give up micromanaging and give their people the resources and confidence they need to succeed. Through the development of strengths and collaboration, they unleash a powerhouse of collective intelligence that propels achievement and happiness. Everybody feels appreciated, heard, and capable in this environment created by the human-centric approach. Not only does leadership control the reins, but it also lights the communal fire.

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Leaders, Empower, Empathetic, Collaborative

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University is largest form of society. If welfare schemes will be implemented in the University, then the society will also benefit. Therefore, to raise the health level of the society. It is necessary that an effective program of health education and yoga education be implemented in the University. There is enough truth in this statement that "a healthy brain resides in a healthy body". Therefore, if the brain of the students is to be strengthened, then it is necessary that the body is also strengthened. If the student is healthy and wealthy, then his mind will take enough to read and write, and he will also be able to do enough mental labour. If health education will be provided to the students and they are made aware of the rules of health and yoga practices, then they will be aware of their health and will not have any inconvenience in doing labour. The society expects its teachers to send their students to university, that we should make efforts to develop mental, emotional, cognitive, spiritual, social and moral and personal values of their students. Formal education is imparted to students in University for this type of development. Many University have made arrangements for intellectual development, physical education, sloka, physical training etc., sports activate for all round development of students. But only by subject study and physical education, the body development of students will be in a certain direction; nothing can be said as such. For the development of personal values for the development of moral values and social upliftment of students, giving "Yoga education" is also important today. Physical and mental development is done by yoga. Mental stability is achieved through yoga. Along with the physical health of yoga, the mind of the seeker is positive, pure and introverted. This increases moral and personal decision making abilities. With the practice of meditation, silence, posture, etc., the senses and the senses develop with a positively and all this is possible only through yoga. Rites can be developed through yoga. Only after creating good values in students, moral and personal values are created in them. In every person or students, stress, feeling of ego, anger and some inferiority are affected by it. All these can be taken out by yoga

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yoga,mental powers

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 Abstract

Records technology automation is becoming increasingly essential for groups that want to make sense of immense and complicated datasets quickly and effectively. Leveraging AI-pushed structures gives a feasible solution for facts and technological know-how automation. AI-driven systems can automate statistics processing, exploration, analysis, and validation of records units. It allows data scientists to manage massive quantities of statistics without needing to sift through them manually. AI-driven systems identify styles, discover insights, and optimize algorithms in data technological know-how tasks. Additionally, they can automate and scale up predictive and prescriptive analytics to speedy check the effect of adjustments and pick out quick wins. With advancements in AI-driven structures, it is feasible for agencies to leverage advanced analytics and a statistics-driven approach to make better selections and force their agencies forward

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Document, Artificial Intelligence, Automation, Optimization, Algorithm

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While people now have far more money than they were given in previous generations, according to financial specialists, the level of information about how to handle that money has not caught up at all. For every individual, it is crucial to take control of our financial strategy and handling and put it into effect. This helps us create our home budget as well as our retirement savings and investment plans. The definition of financial management, its significance, and how each person may manage and organize the money. The purpose of this application is to inform readers about financial planning and management and to encourage them to do so.Personal finance smartphone applications increase several metrics used to assess financial knowledge and abilities, attitudes and motives, and financially competent actions in low-income households. Those who received smartphone applications showed enhanced self-control in delaying gratification, financial knowledge, and a sense of being able to affect change. They also showed higher confidence in making financial decisions. Changes in financially responsible behavior included being better able to manage unforeseen expenses and keep track of funds. Targeting users with a particular financial decision-making issue, customizing the applications through push notifications to encourage continued user interaction, and including gaming features might all increase user engagement with finance apps.The platform's major objective is to offer thorough analysis of people's earnings, outgoings, and assets so that users may get unmatched financial knowledge. This is accomplished by carefully combining sophisticated visualization and data analysis tools.

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Personal finance management; mobile application; Amount of assets, Expenditure in particular time frame, Saving Goals.

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AI-driven structures are quickly turning up updated prime up-to-date records, technological know-how, and analytics. The potential of that new technology, up-to-date mate statistics-extensive tasks, and allowing for real-time analytics is revolutionizing the way that records scientists and analytics teams work. Through leveraging machine mastering and AI algorithms, statistics scientists are up-to-date, successfully analyze large quantities of data, become aware of significant insights, and quickly present those insights to current stakeholders. Those AI-pushed structures additionally allow information scientists updated scale quickly and preserve correct records of information, statistics resources, and models. This paper explores the capacity of AI-pushed structures for data, technological know-how, and analytics. It examines the cutting-edge state of those technologies, the demanding situations they face, and how corporations can leverage up-to-date pressure insights and accelerate innovation

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Data, Machine Learning, Information, Statics, Artificial Intelligence

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ABSTRACT A Descriptive Research design was employed to evaluate the understanding of iron deficiency anemia among adolescent girls at a higher secondary school in Chandragiri, A.P. One hundred adolescent girls were chosen using the Non-Probability Purposive Sampling technique. Data collection was conducted through a structured questionnaire on iron deficiency anemia. The data was analyzed utilizing descriptive and inferential statistics. MAJOR FINDINGS OF THE STUDY Out of the 100 adolescent girls surveyed, 42 (42%) had inadequate knowledge of iron deficiency anemia, 35 (35%) possessed moderate knowledge, and 23 (23%) demonstrated adequate knowledge regarding iron deficiency anemia. There is a statistically significant association between socio-demographic variables and knowledge among adolescent girls, including age, father's education, father's occupation, and monthly income (significant at p<0.01). Additionally, there is a statistically significant association between socio-demographic variables and knowledge among adolescent girls, such as religion, education level, type of family, food pattern, source of knowledge, and birth order (significant at p<0.05). The results indicated that a significant number of adolescent girls had inadequate knowledge regarding iron deficiency anemia. In response to these findings, an information booklet was distributed to all adolescent girls to address and mitigate this condition, aiming to enhance their overall health status. This study contributes to equipping healthcare personnel with valuable insights to better educate adolescent girls about iron deficiency anemia. CONCLUSION: The study reveals that there is inadequate knowledge among adolescent girls regarding iron deficiency anemia. It is recommended that teachers and healthcare professionals collaborate to develop educational programs and offer guidance and health education on iron deficiency anemia, actively engaging adolescent girls. In response to these findings, information booklets were distributed to all adolescent girls to address this issue and enhance their health status. It emphasizes the importance of including iron-rich foods in the diet of adolescents,highlights several examples such as mustard leaves, powdered milk, grams, maize, and red meat, all of which have high iron content. Incorporating these items into the diet of adolescents can effectively address their iron requirements and contribute to overall health and well-being.

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KEY WORDS: Iron deficiency Anemia, Adolescent Girls, Secondary High School.

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Segmentation of water bodies from remote sensing satellite images is crucial for processing and analysis. Efficiently extracting water body features is essential for various real-time applications such as water resource allocation, ecological services assessment, monitoring systems for water resource protection, and identification of flooding disasters. The interpretation of satellite images and the random extraction of water bodies are emerging tasks in remote sensing. Convolutional Neural Networks (CNNs) have shown promise in various remote sensing applications, including efficient segmentation of water bodies from satellite images. Several CNN-based approaches have been proposed for this purpose. Multi-scale Water Extraction CNN (MWEN) stands out as a particularly effective method for segmenting water from Geo-Fan-2 (GF-2) sensing satellite images. However, addressing the automatic extraction of water body segmentation from satellite images remains challenging due to the sparse arrangement of boundary pixels and the large number of training samples required. To enhance the performance of automatic water body segmentation from satellite images, we propose a Novel Optimized Multi-Feature Contour-based Hierarchical Neural Network (NOMFCHNN). NOMFCHNN incorporates expanding neural network features and layers inspired by inception models, which provide crucial information about network localization. This approach employs pixel matching with extended feature extraction. Extensive experiments on combined satellite image repositories demonstrate that our proposed approach improves segmentation accuracy and other key parameters compared to state-of-the-art methods for remote sensing satellite images.

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Water Body Segmentation System, Satellite Image Analysis, Feature Detection, Image Processing, Performance Evaluation, Remote Sensing, Data Analysis.

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This paper discusses the issue of police violence in securing demonstrations against the Omnibus Law Job Creation Law in Indonesia. The authors argues that the police's use of violence is a violation of human rights and that there is a need for greater professionalism among law enforcement officers. The paper begins by discussing the right to freedom of expression, which is guaranteed by the Indonesian Constitution. The authors then argues that the police have a duty to protect this right, even when dealing with demonstrations that may turn violent. The authors then discuss the specific case of the demonstrations against the Omnibus Law Job Creation Law, which took place in October 2020. The authors argues that the police used excessive force in breaking up the demonstrations, and that this resulted in numerous injuries and deaths. The authors conclude by calling for greater professionalism among law enforcement officers in Indonesia. The authors argue that this is necessary to prevent future violations of human rights.

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Police Violence, Demonstrations, Human Rights

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An Ayurvedic Herbal Churna is a popular polyherbal ayurvedic formulation used in the treatment of Common Cold , Strengthens of bones, improve blood circulation, Control Of Cholesterol, Pain Relief and Respiratory Affection & Control Of Diabetes. Ayurvedic medicines play an important role in gastrointestinal problems due to safety and efficacy in it. Hence churna meant for digestive property has been formulated by standard procedures and evaluated by physical and analytical method.

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Ayurvedic Medicine, Digestion, Complementary Therapies, Herbal Churna, Physico-chemical, Polyherbal, Formulation, Standardization

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The educational landscape is constantly changing, spurred by developments in cognitive science and pedagogical approaches. This paper introduces "Synaptic Symphony," a new framework in Neuro-Pedagogy for orchestrating a harmonious blend of cognitive concepts and educational techniques. The major goal is to examine the impact of Synaptic Symphony on improving learning experiences in 21st-century education. Our analysis of the available literature emphasizes the need for novel techniques in Neuro-Pedagogy. While various research have looked at the connection of neuroscience and education, there are still gaps in practical applications that address the diverse cognitive demands of today's students. This paper uses a mixed-methods approach to try to fill up these gaps. Synaptic Symphony is being implemented in a few educational settings as part of the project, and instructor and student input is being taken into account. A thorough knowledge of the framework's effectiveness is provided by the data gathered through surveys, observations, and interviews. Promising patterns in the preliminary data indicate that Synaptic Symphony has a favourable impact on student engagement, retention of knowledge, and general process satisfaction. Using both qualitative and quantitative methodologies, the data analysis provides insights into particular areas of Neuro-Pedagogy that are touched by the Synaptic Symphony framework. In light of the needs of the digital age and established procedures in education, this paper argues for a paradigm shift in neuro-pedagogy. In addition to being a theoretical concept, Synaptic Symphony also shows up as a revolutionary and useful strategy that opens the door to a more successful and inclusive educational system. The results of this study add to the current discussion on the relationship between neuroscience and education by providing educators and decision-makers with important new information about how Synaptic Symphony may influence education in the future. This paper proposes for a paradigm shift in Neuro-Pedagogy, as education is at the crossroads of traditional approaches and the needs of the digital world. Synaptic Symphony develops as both a theoretical concept and a practical and transformative technique, paving the path for a more effective and equitable educational system. This research adds to the conversation on neuroscience and education, providing educators and policymakers with significant insights into Synaptic Symphony's potential to change the future of learning.

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 Keywords

Neuro-Pedagogy, Synaptic Symphony, Cognitive Science, Education Innovation, 21st-century Learning, Learning Styles, Diverse Learning Needs, Technology Integration in Education, Student Engagement, Motivation in Learning, Educational Frameworks, Mixed-Methods Research, Cognitive Neuroscience, Digital Learning Tools, Educational Technology, Student-Centric Learning, Pedagogical Strategies, Adaptive Learning, Educational Transformation, Neuro-Educational Approaches

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