Volume 13 | Issue 4 |

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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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Access to clean water and proper hygiene facilities is a fundamental human right and a critical determinant of public health, economic stability, and social development. Despite global efforts, millions of people, especially in rural and underserved regions, continue to face significant challenges in accessing safe drinking water and adequate sanitation. Identifying and addressing these issues is complex due to varying geographical, demographic, and infrastructural factors that influence water availability and hygiene standards. This study presents an innovative machine learning-driven approach to analyze and predict water access and hygiene conditions based on a comprehensive dataset encompassing key determinants such as population density, geographical features, water source type, sanitation infrastructure, and socio-economic factors. By employing advanced data analytics and predictive modeling, our research aims to uncover patterns and relationships within these variables, enabling the proactive identification of regions at risk of water scarcity and poor sanitation. The system utilizes various machine learning algorithms, including decision trees, random forests, support vector machines (SVM), and deep learning models, to enhance prediction accuracy and provide actionable insights. These models are trained and validated using diverse real-world datasets, ensuring robustness and generalizability. The integration of machine learning in water resource management provides several advantages, including real-time monitoring, automated risk assessment, and data-driven decision-making. The findings from this study will assist policymakers, non-governmental organizations (NGOs), environmental agencies, and urban planners in making informed decisions regarding water infrastructure investments, hygiene awareness programs, and emergency response strategies. Furthermore, this research contributes to the United Nations' Sustainable Development Goal (SDG) 6, which aims to ensure clean water and sanitation for all by 2030.

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Creative Commons Attribution 4.0 and The Open Definition

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water access,SVM, Algorithm

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Creative Commons Attribution 4.0 and The Open Definition

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The destructive effects of these newly developing infectious illnesses on public health systems, economics, and global health are highlighted by the COVID-19 pandemic and EVD. Despite being viral infections, they differ in terms of epidemiology, clinical appearance, and mode of transmission. In contrast to the Ebola virus, which is spread by direct contact with infected human or animal bodily fluids and causes an acute hemorrhagic fever with high mortality rates, COVID-19 droplet infection has caused a pandemic situation worldwide. Because COVID-19 will continue to be endemic, next-generation vaccine development, genomic surveillance, and booster vaccination campaigns will be necessary. Long COVID is still a huge challenge with economic implications. As preventive measures, we have vaccines, improved ventilation, and adaptable public health strategies.

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Creative Commons Attribution 4.0 and The Open Definition

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Emerging infectious diseases, global health, economies, public health systems, viral infections, transmission, epidemiology, global pandemic, acute hemorrhagic fever,endemic phase, booster vaccines, genomic surveillance, preventive measures, vaccination, and public health strategies

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Creative Commons Attribution 4.0 and The Open Definition

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Transgender people in India, often referred to as hijras, kinners, or aravanis in different regions, have been a part of Indian society for centuries, with historical references in Hindu mythology, religious texts, and Mughal courts. Despite their cultural presence, they have long faced discrimination, social ostracization, and economic hardships. Traditionally, many transgender individuals in India have been associated with the hijra community, which has its own social structure, rituals, and traditions. However, not all transgender people identify as hijras; some live independently, while others undergo gender-affirming procedures and integrate into mainstream society. In recent years, there have been significant legal and social advancements for transgender rights in India. The landmark 2014 Supreme Court ruling in National Legal Services Authority (NALSA) v. Union of India recognized transgender individuals as a third gender and affirmed their fundamental rights, including access to education, employment, and healthcare. Following this, the Transgender Persons (Protection of Rights) Act, 2019, was enacted to prohibit discrimination and promote inclusion, although it has faced criticism from the transgender community for not adequately addressing their concerns. Despite these legal strides, transgender individuals in India still encounter societal stigma, lack of employment opportunities, and barriers in accessing healthcare and education. Many are forced into begging, sex work, or other informal sectors due to discrimination. Advocacy groups and NGOs continue to push for better policies, gender-affirming healthcare, and awareness campaigns to foster greater acceptance. Increasing representation in media, politics, and corporate spaces is slowly challenging stereotypes, but true equality remains an ongoing struggle for India's transgender community. The article below brings into discussion the significant challenges faced by the transgender population that further fuel their inability to uplift themselves in Indian society.

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Creative Commons Attribution 4.0 and The Open Definition

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Trans gender, Education, Employment, Reservation

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Creative Commons Attribution 4.0 and The Open Definition

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The study aims to identify the necessity and exact provision of 'Service Learning' in LIS education. The universities offering Library & Information Science courses in the state of West Bengal, India, have been selected as the study population. The syllabi of the BLIS and MLIS programs from all universities offering LIS courses in West Bengal were collected and analyzed. A survey method was used, with a questionnaire on Google Forms, to gather information related to internships from alumni of the MLIS program at the University of North Bengal. The data collected was analyzed using Microsoft Excel. The experiences gained from monitoring interns who were given opportunities to work in our college library, providing services to users, were used to frame the nature and types of tasks to be included in the service learning. The study recommends incorporating internship/service learning as part of the curriculum with a considerable credit allocation and suggests implementing a uniform structure for the same across all LIS programs in the universities..

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Creative Commons Attribution 4.0 and The Open Definition

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Service learning, internship, library and information science

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Creative Commons Attribution 4.0 and The Open Definition

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SRAM-based FPGAs are vulnerable to radiation-induced errors, especially Multiple-Bit Upsets (MBUs), which can affect their reliability in space. Existing error correction methods often require too many resources or fail to handle burst errors effectively. Readback scrubbing is thought to be a useful technique for fixing mistakes in Field Programmable Gate Arrays (FPGAs) based on Static-RAM (SRAM). Nevertheless, the error correction %per unit area overhead of the existing systems is modest. In order to attain a high error correction %per unit area overhead, proposed work suggests two novel error detection/correction techniques that combines frame readback scrubbing with multi directionally applied Error Correction Codes (ECCs). According to experiments, the suggested approaches use up to 59.37% less area overhead than other state-of-the-art methods while having an excellent error correction percentage (above 99%), particularly for multi-bit upsets.

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Creative Commons Attribution 4.0 and The Open Definition

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Multiple-Bit Upsets

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Creative Commons Attribution 4.0 and The Open Definition

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Heavy metal contamination has recently become one of the most critical environmental problems. Hazardous heavy metal poisoning of the environment is spreading around the world with the advancement of industries. Microorganism-related technologies could offer an alternative or replacement for traditional metal recovery or removal techniques. This research focuses on the investigation of heavy metal-tolerant bacteria isolated from industrial effluent in the CLZS, Chanderiya, Chittorgarh, Rajasthan, and their characterization. Initially, A total of 237 isolates were screened as Zn-tolerant bacteria, and 29 isolates were screened as Pb-tolerant bacteria from an industrial effluent sample. The three isolates were selected for further analysis due to their high level of heavy metal tolerance. The isolates were determined to be Bacillus subtilis, Pseudomonas sp., and Bacillus flexus according to biochemical and morphological parameters. The identified isolates show high tolerance to heavy metals like Zn and Pb. They could be effective and useful as a potential bioremediation tool for heavy metals from industrial effluent.

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Heavy Metals, Environment, Industrial Effluent, Bioremediation, Tolerant

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Creative Commons Attribution 4.0 and The Open Definition

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Rashtriy shiksha niti 2020 ki uddeshypoorti me doorasth shiksha kii bhumica

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Creative Commons Attribution 4.0 and The Open Definition

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Rashtriy shiksha niti 2020 ki uddeshypoorti me doorasth shiksha kii bhumica

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Creative Commons Attribution 4.0 and The Open Definition

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OSCC ranks among the primary cancer types of oral tissues because people often get diagnosed too late while having few available treatment methods. Transcriptomic profiling allows effective gene expression modification studies of OSCC because it reveals essential molecular pathways along with biomarker candidates. Analyses focusing on single genes have typically produced unstable results which stem from variations in sample origin together with unique experimental techniques and study protocols. Data analysis of different research studies through transcriptomic assessment leads researchers to achieve better statistical evaluations and enhance the determination of differentially expressed genes. The review aggregates microarray meta-analysis results to determine persistently affected genes which play a role in developing OSCC. ANO1 Nucleotide Transporter (AE1/A2) demonstrated partnership with FADD Death Fas-Associated Domain and STAT1 Signal Transducer Activator and Transcription Factor and EGFR Epidermal Growth Factor Receptor and CPBP CPEB-Reacting Factor Protein as crucial proteins that drive OSCC progression through their effect on PI3K/AKT/mTOR signaling pathways and ECM remodeling and immune system functions. The synthesis of biomarker discoveries with literature review and wide transcriptional analysis led scientists to new therapeutic targets for managing OSCC. Scientific investigations should include the combination of next-generation sequencing (NGS) with machine learning methods to enhance accuracy when using oral cancer transcriptomic biomarkers.

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Oral squamous cell carcinoma (OSCC), transcriptome profiling, meta-analysis, differentially expressed genes (DEGs), biomarker discovery, PI3K/AKT/mTOR signaling, extracellular matrix remodeling, immune response.

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Creative Commons Attribution 4.0 and The Open Definition

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Licence: creative commons attribution 4.0

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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