Volume 13 | Issue 4 |

 Abstract

Breast cancer is causing and alarming increasing in the quantity of loss of life approximately 685,000anually Breast most cancers is come to be most normally arise in particular in girl. This review provides an outline of the present day states of expertise on breast cancer inclusive of its prognosis, remedy option and similarly instructions. We talk the genetic and hormonal factors. That contribute to breast most cancers development, in addition to the function of environmental and lifestyle issue, we also observe the diverse analysis method together with mammography, biopsy, ultrasound, and magnetic resonance imaging (MRI) and the significance of early detection treatment alternative which include surgical operation, radiation remedy, chemotherapy and focused remedy are talk in addition to the trendy increase in immune remedy and precision medicine. And also have a look at about the epidemiological facts and responses of cosmetics to motive breast cancer in ladies' because of disturbing body hormones. It offers ratio of loss of life peoples of each 12 months due to the breast most cancers.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Breast cancer, therapy, diagnosis, treatment, epidemiology, factors, and lifestyle.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Smart Secure Locker is a multilevel bank security system that uses face recognition via SVM, fingerprint scanning, and password verification for robust access control. It starts with face authentication on a laptop, followed by fingerprint and password checks through Arduino. If all steps are successful, the locker unlocks with an indicator. Any failure triggers a buzzer alarm and alerts bank authorities. This system ensures real-time monitoring and protection against cyber threats, biometric spoofing, and password breaches. By combining machine learning and hardware, it offers tamper-proof, automated, and highly secure locker access.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bank Locker Muti-level Security, Face Recognition, Fingerprint Authentication, Password, Buzzer, SVM Algorithm

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Bru-Reang Displaced crisis of North-East India is a two-decade-old which emerged out from the ethnic strife between the Mizo and Bru populations in Mizoram, consequently leading to the exodus of over 30,000 people to Tripura. From settling in relief camps in Tripura to the series of attempts of repatriation to Mizoram and the changes that occurred along the way to finally be given permanent settlement in Tripura involves the path of much event issues and problems that attracted the notice of news outlets, government officials, and ministries in the country. The paper seeks the causes of unsuccessful repatriation attempts taken, and illustrating the complexity of permanent settlement solution, with Mizoram and Tripura's states responsibility in handling the situation are closely evaluated in this paper. With the 2020 Quadruple Accord, initiated by the central government and negotiated by the two states governments of Tripura and Mizoram, the Bru dispute was supposed to have been obstacle free from any further difficulties. But the several challenges and complexities faced during the implementation phase caused the permanent resettlement to be postponed beyond the expected period. The study also assesses the living circumstances, social-economic integration, and Bru population adaption in many recently founded settlement colonies. The study and descriptions collected from interviews with displaced Bru representatives, field observations, media reports, papers, and scholarly sources help to offer a thorough knowledge of the problem from many dimension perspectives.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bru displacement crisis, ethnic conflict, Mizoram, Tripura, repatriation, permanent settlement, socio-economic integration

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

AI-powered visual content moderation systems play a crucial role in maintaining digital safety and integrity. These systems employ advanced machine learning, computer vision, and deep learning algorithms to analyze and filter images and videos based on predefined standards. By recognizing objects, scenes, and facial expressions, AI moderators can detect explicit, harmful, or misleading content. Additionally, metadata and text extraction aid in understanding contextual elements within multimedia files. While AI moderation offers efficiency and scalability, it faces challenges such as bias, false positives, and contextual misinterpretation. Ethical concerns, including privacy and censorship, necessitate continuous refinement and human oversight to ensure fairness and accuracy in automated moderation. As AI technology evolves, integrating improved models and diverse datasets will help create more responsible and adaptable content moderation frameworks.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence (AI) ,Content Moderation ,Visual Analysis ,Image Recognition ,Machine Learning (ML)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

One of the most profound impacts of technology on corporate law is the automation of routine legal processes. Tools such as contract management software, legal research platforms, and document automation systems have streamlined various functions, allowing legal teams to operate more efficiently

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Block chain, due diligence, billable, Natural language processing, Artificial intelligence

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Diabetes Mellitus is among the critical diseases and many people are suffering from this disease. Age, obesity, lack of exercise, hereditary diabetes, lifestyle, bad diet, high blood pressure, etc., can cause Diabetes Mellitus. People with diabetes have a high risk of diseases like heart disease, kidney disease, stroke, eye problem, nerve damage, etc. Current practice in hospital is to collect required information for diabetes diagnosis through various tests and appropriate treatment is provided based on diagnosis. Big Data Analytics plays an significant role in healthcare industries. Healthcare industries have large volume databases. Using big data analytics one can study huge datasets and find hidden information, hidden patterns to discover knowledge from the data and predict outcomes accordingly. In existing method, the classification and prediction accuracy is not so high. In this paper, we have proposed a diabetes prediction model for better classification of diabetes which includes few external factors responsible for diabetes along with regular factors like Glucose, BMI, Age, Insulin, etc. Classification accuracy is boosted with the new dataset compared to the existing dataset. Further, a pipeline model for diabetes prediction was imposed, intended to improve classification accuracy.

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 Keywords

Diabetes Prediction, Machine Learning, Predictive Modeling, Disease Diagnosis, Type 2 Diabetes, Risk Factor Analysis, Data Mining, Classification Algorithms, Feature Selection, Model Evaluation, Predictive Analytics, Early Detection, Healthcare Informatics, Medical Diagnosis, Artificial Intelligence in Healthcare.

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 Abstract

Transcranial Direct Current Stimulation (tDCS) is a non-invasive brain stimulation that can improve the limb's motor function by remote modifications in the central motor system. Bilateral Arm training (BAT) involves use of the affected arm which is in association with the unaffected arm that initiate interlimb coupling, which mitigates interhemispheric inhibition and in turn helps improving affected limb function. The current paper presents the protocol for conducting research into the efficacy of Transcranial Direct current stimulation and Bilateral Arm Training on neurological upper limb impairments. A single blind randomized clinical trial will be conducted involving Transcranial Direct current stimulation and Bilateral Arm Training on 20 individuals with neurological upper limb impairments. The group A intervention consists of Bihemispheric stimulation of 1 mA for 20 minutes while group B will receive Bilateral arm training along with convention therapy in both the groups for a total duration of 50 minutes. Participants of the assigned group will receive 10 sessions of treatment over 2 weeks. Outcomes used will be subjective Pre and post-treatment assessments will be done using Wolf Motor Function Test (WMFT) and Fugyl Meyer assessment-upper extremity (FMA-UE).

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 Keywords

tDCS, stroke, bilateral arm training, neurological upper limb impairments

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The village-fringe mangroves of the Sundarbans serve as crucial bio-shields against storms, surges, and erosion. However, long-term unsustainable resource use and hydro-geomorphic changes have degraded these ecosystems. Cyclone Bulbul (9th November 2019), with 119 km/h winds, caused widespread damage. This study analyses its impact on vegetation and canopy gaps across five village-fringe sites in the south-western Sundarbans using Landsat-8 data. Dense canopies were severely degraded, especially in North-Bakkhali and Shikarpur, while Dwarikanagar saw lesser impact but signs of vegetation decline. The findings highlight the urgent need for periodic, site-specific monitoring and sustainable management to restore and protect the ecological health of these vulnerable mangrove zones.

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 Keywords

Sundarbans, Cyclone Bulbul, mangroves, canopy gap formation, vegetation dynamics, coastal erosion, sustainable management, ecosystem restoration.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Index Terms - Flat plate solar collector, CFD, Ansys Fluent, solar radiation, collector efficiency,

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Creative Commons Attribution 4.0 and The Open Definition

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This study explores the impact of flexible work policies on women's career development in the Indian corporate sector. It investigates how perceived flexibility influences job satisfaction, career progression, promotion likelihood, and workforce retention among women in desk-based roles. Using a structured questionnaire, data was collected from 120 respondents across multiple industries. A quantitative research design was chosen to ensure objective analysis of multiple variables using descriptive and inferential statistics. The study is grounded in the Job Demands-Resources (JD-R) model and Conservation of Resources (COR) theory to examine how flexibility as a resource influences motivation and long-term career investment. Hypothesis testing was conducted using linear regression, independent samples t-test, mediation analysis, chi-square, and logistic regression. The findings suggest that flexible work significantly enhances job satisfaction and perceived career growth, mediated by work-life balance. However, flexibility does not show significant statistical correlation with actual promotions or retention intent. These results suggest that while flexibility is a valuable resource, structural barriers still affect career advancement. The paper provides insights for policy-makers and HR professionals to develop more inclusive workplace policies.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Flexible work policies, women's career growth, work-life balance, job satisfaction, promotion, retention, JD-R model, COR theory, Indian corporate sector, remote work, hybrid work, gender equity, workplace flexibility, organizational support, career progression.

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Creative Commons Attribution 4.0 and The Open Definition