Volume 11 | Issue 8 |

 Abstract

The research paper delves into the transformative potential of higher education in India, with a focus on the National Education Policy (NEP) 2020. The paper highlights the importance of higher education in shaping responsible individuals who contribute positively to society. The NEP's primary goal is to achieve a Gross Enrolment Ratio of 50% by 2035, enhancing access to higher education and fostering a highly educated workforce. The NEP 2020 adopts a holistic approach to learning, promoting multidisciplinarity and flexible course choices, while integrating vocational training to enhance employability and entrepreneurship. Emphasizing research and innovation, the policy encourages collaboration between universities, industries, and research institutions to drive cutting-edge advancements. Equity and inclusion are paramount in the NEP, addressing disparities and providing equal opportunities to marginalized communities, women, and economically disadvantaged individuals. Transparency in faculty recruitment and academic freedom empower educators to shape the future of India's youth. The research paper concludes that NEP 2020's focus on accessibility, flexibility, innovation, and inclusivity sets the stage for a robust higher education system that empowers individuals and elevates India's global standing in knowledge and innovation. Proposed solutions, such as institutional reorganization, global collaborations, and vocational education, aim to overcome challenges and transform the higher education landscape, fostering a more equitable society.

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 Keywords

Education, Higher education, National Education Policy (NEP) 2020, Gross Enrolment Ratio (GER), Multidisciplinary education, Vocational training, Research and innovation, Equity and inclusion, Globalization of higher education, Governance and leadership in higher education, Indian languages and cultural traditions, Online and digital learning platforms, Academic autonomy

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Creative Commons Attribution 4.0 and The Open Definition

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An estimated 463 million people around the world are affected by diabetes, a chronic metabolic condition. Digital health has been widely adopted in recent years with the intention of improving diabetes treatment and has generated a significant amount of data that could be utilized for additional diabetes management. This has led to the widespread adoption of strategies that make use of artificial intelligence, particularly deep learning, an emerging type of machine learning, with promising outcomes. In this paper, we present an exhaustive survey of the uses of profound advancing inside the field of diabetes. We directed an orderly writing search and recognized three primary regions that utilization this methodology: management of glucose, diabetes diagnosis, and complications of diabetes. We selected 40 original research articles from the search results and have compiled a summary of the most important information about the used learning models, development process, main outcomes, and baseline performance evaluation methods. It should be noted that, in many diabetes-related tasks, various deep learning techniques and frameworks have outperformed conventional machine learning approaches, achieving state-of-the-art performance. In the meantime, we identify some limitations in the existing literature, such as the lack of model interpretability and availability of data. The rapid development of deep learning and the increase in the amount of data that is available make it possible to address these issues in the near future and make it possible for this technology to be widely used in clinical settings.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial intelligence, diabetes, deep learning, deep neural networks and managing glucose.

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 Abstract

Silica nanoparticles were synthesized by utilizing biological waste Eichhornia crassipes from water bodies. Different parts of the weed were used to synthesize the nanoparticles by using two methods. One of the methods employed uses TEOS as the precursor for the silica nanoparticles. The biologically synthesized silica nanoparticles (SN1, SN2, SN3) were characterized by Fourier Transform infrared spectroscopy X-ray diffraction analysis, Scanning electron microscopy, and Nano sizer. Silica nanoparticles synthesized using all three processes showed the characteristic silanol groups in the FTIR spectra. The characteristic absorption bands at 1094cm-1, 10 3cm-1 & 1058cm-1of SN1, SN2 & SN3 samples showed characteristic Si-O-Si group vibrations.SN1 was selectively analyzed further due to the smooth texture obtained. The crystalline & spherical nature of the sample was confirmed by XRD pattern & SEM studies respectively. The particle size of the nanoparticles was found to be in the range of 10-15nm. The SN1 sample was found to exhibit -24.1 mv zeta potential owing to the uniform dispersibility of the synthesized nanoparticles.

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Silica nanoparticles, Eichhornia, silanol group, FTIR

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Creative Commons Attribution 4.0 and The Open Definition

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ASSERTING ETHNIC IDENTITY:AN ANALYTICAL STUDY OF HISTORIOGRAPHY, ORALITY, AND TRANSLATION OF CULTURAL ‘TEXTS’ OF TRIPURA.

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ASSERTING ETHNIC IDENTITY:AN ANALYTICAL STUDY OF HISTORIOGRAPHY, ORALITY, AND TRANSLATION OF CULTURAL ‘TEXTS’ OF TRIPURA.

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Heart disease, Machine Learning, Prediction, Classification Technique, Accuracy.

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Creative Commons Attribution 4.0 and The Open Definition

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The research investigates incidents captured by CCTV cameras in Tarlac Province, encompassing incident identification, participant experiences, government support programs, proposed interventions in collaboration with the Police Department, and the study's implications for Public Administration. Focused on Tarlac City, the study gauges the effectiveness of CCTV cameras in addressing vehicular accidents, traffic violations, collisions, hit-and-run cases, and missing person reports. Employing a descriptive approach, data is collected from the Command Center Office and involves interviews, documentary analysis, and Sentiment Analysis.

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Creative Commons Attribution 4.0 and The Open Definition

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CCTV, TARLAC

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Creative Commons Attribution 4.0 and The Open Definition

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This study determined the data privacy compliance at the Department of Education Division of Mabalacat City with focused on transparency, collection, technical security, organizational security, proportionality, physical security, data security, and legitimate purpose. Significant difference was also assessed. Problems and best practices with compliance to DPA were identified based on the assessment of the respondents. It involved the 26 Administrative Officers (AO) and 35 Administrative Assistants (ADAS). This study employed quantitative descriptive research design. The study employed a quantitative descriptive research design. A total enumeration was utilized. The researcher used and adopted the Privacy Impact Assessment. The isurvey iquestionnaire iis itailored ifrom the National Data Privacy iCommission iToolkit i(2018). Data were obtained physically after approval from the proper authorities. The results of assessment as to compliance of the respondents with the Data Privacy Act (DPA) of 2012 across all aspects of DPA revealed compliant levels. Moreover, assessment showed no significant difference. Problems encountered are: insufficient data, privacy plans, insidious issues in the digital sphere, purging older data and materials, presence of hackers, dangers of additional devices, bolster data privacy plans, insufficient Standard Operating Procedures, data hoarding, duplicate files, and disable location tracking. Best Practices identified are: perform data discovery, control access, encrypt data, install anti-malware software, perform assessment and audits, have a data usage policy, physically safeguard data, create strong password, eliminate data, and educate on the sign of phishing. Recommendations to monitoring systems and processes should be established to make it standardize and dissemination is effective. Seminar/Trainings and other similar activities should be conducted among the Administrative Officers and Administrative Assistants to combat the problems thru online activities and record keeping. Identified best practices should be maintained and enhanced more for efficiently serving clienteles and stakeholders. The proposed action plan may be religiously implemented, note the progress or development of Administrative Officers and Administrative Assistants' compliance. Seek technical assistance among experts in the field like the Chiefs of the Units and veteran employees of equal rank.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Data Privacy Act

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Creative Commons Attribution 4.0 and The Open Definition

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Empowering women, particularly impoverished women from backward communities living in backward regions, is seen as a critical component of any emerging economy's economic progress. It is obvious that involvement in Self-Help Groups (SHGs) is higher among economically disadvantaged women. Backward areas in India's rural West Bengal might be an essential instrument for improving their socioeconomic position. This technique will undoubtedly equip children to make sound socioeconomic decisions both within and outside of the home. Women's empowerment is a frequently debated concept around the world. Women can be empowered through economic independence, improved well-being, and social and political progress, according to the literature. This can be accomplished by providing them with access to savings and credit, which encourages them to play a larger economic role in decision-making, improves household welfare, and strengthens women's skills, mobility, knowledge, and support networks. "Self Help Groups" emerged as an empowerment and financial model geared specifically at mobilizing women in rural regions to address the problem of poverty and enable the community to enhance its quality of life. The paper's major goal is to shed light on self-help groups operating in Purbasthali One, Purbasthali Two, Kalna Block I, Kalna Block II, Ausgram One, Ausgram Two, Memari One, Memari Two, Katwa One, Katwa Two, Purba Bardhamman District, West Bengal's rural setting. Its goal is to determine whether these organizations empower women in this district or whether skill development, human resource development and marketing development have an impact on self-help groups.

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Keywords: Women Empowerment, Skill Development, Human Resource Development, Marketing Development and Self-Help Groups

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Creative Commons Attribution 4.0 and The Open Definition

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Technology known as the Brain-Computer Interface (BCI) has attracted a lot of interest because it has the potential to enable direct brain-to-device communication. The selection of pertinent features that capture the underlying brain activity patterns is a crucial element of efficient BCI data classification. The use of genetic algorithms (GAs) in conjunction with neural networks for feature selection in BCI data classification is thoroughly discussed in this review study. We talk about the importance of feature selection, describe how to combine GAs and neural networks, review pertinent literature, and emphasize the advantages and difficulties of this strategy. We provide insights on the developments, uses, and potential future directions of this approach in the context of BCI research by synthesizing the body of available material.

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 Keywords

Brain-Computer Interface, Genetic Algorithm, Feature Selection, Neural Network, Classification, Electroencephalography

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Creative Commons Attribution 4.0 and The Open Definition

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Introduction: Schizophrenia is a chronic psychiatric disorder with a heterogeneous genetic and neurobiological background that influences early brain development, and is expressed as a combination of psychotic symptoms -- such as hallucinations, delusions and disorganization -- and motivational and cognitive dysfunctions. Aim: To discuss a case of 23 years old male with history of 2 episodes of seizures due to neurocysticercosis presented with symptoms of schizophrenia. Results: Patient showed significant improvement with treatment (started interacting, suspiciousness reduced, catatonic symptoms improved) following which he was discharged from the hospital. Conclusion: Treatment Resistant Schizophrenia (TRS) represents a major clinical challenge. Clozapine is recognized as most effective treatment option worldwide. Earlier and broader use of clozapine in patients with TRS is an important measure to improve outcomes of patients with this most severe form of the illness.

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 Keywords

TRS, Clozapine, Neurocysticercosis

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Creative Commons Attribution 4.0 and The Open Definition