Volume 11 | Issue 11 |

 Abstract

Attention Deficiency hyperactivity complaint( ADHD) is a neurodevelopmental complaint in which cases present inattention, hyperactivity, and impulsivity. The etiology of this condition is different, including environmental factors and the presence of variants of some genes. Still, a great diversity exists among cases regarding the presence of these ADHD- associated factors. also, there are variations in the reported neurophysiological supplements of ADHD. ADHD is constantly treated pharmacologically, producing an improvement in symptomatology , albeit there are cases who are refractory to the main pharmacological treatments or present side goods to these drugs, pressing the significance of developing other remedial options. Differentnon- pharmacological treatments are in this review addressed, chancing different results regarding effectiveness. Altogether, ADHD is associated with different etiologies, all of them producing changes in brain development, leading to the characteristic symptomatology of this condition. Given the eclectic etiology of ADHD, discussion is presented about the convenience of personalizing ADHD treatment, whether pharmacological ornon- pharmacological, to reach an optimum effect in the maturity of cases. Approaches to personalizing both pharmacological remedy and neurofeedback are presented.

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 Keywords

ADHD , neurodevelopmental disorder, medications, inattention, hyperactivity, Impulsivity .

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Osteoarthritis is a common condition affecting the knee joint that is characterized by the progressive and irreversible loss of articular cartilage. Patients' lives are greatly impacted by this degenerative disorder, so prompt and accurate diagnosis is essential. The primary diagnostic tool for osteoarthritis, traditional knee X-rays, frequently depend on the experience of seasoned doctors, which adds to the burden and increases the risk of making mistakes in judgment because slight variations in disease stages exist.This work uses artificial intelligence (AI) and machine learning to create a state-of-the-art medical diagnosis support system in response to these issues. The technique of transfer learning, which makes use of neural network models that have already been trained, is the foundation of the system. It minimizes reliance on large datasets and facilitates effective learning for the diagnosis of knee osteoarthritis.

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 Keywords

Inception V3, Knee Osteoarthritis, X-Ray Images

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Rice is one of the most widely cultivated food crops in the world. However, there is a significant probability that high amounts of salt, especially at the seedling stage, would have a detrimental effect on rice growth. To prevent a decrease in rice productivity, it is crucial to quickly discover and develop salinity-tolerant rice crop types, particularly at the seedling stage. Expertise from humans is required for the classification of visual signals and the conventional way of a standard assessment system for identifying rice crop salt stress. It's not only time-consuming, but it often leads to mistakes that lead to inaccurate classification. The research shows the need for a deep learning developed model over the conventional approach of measuring rice crop sensitivity to salt stress during the seedling stage to detect and classify salinity stress in rice seedlings using field images. Therefore, we employ pre-trained deep learning approaches, such as VGG 16, VGG 19 to develop the classification model. These techniques are developed in Jupyter Notebook using Python programming. The model can classify images of rice seedlings into scores of 1, 3, 5, 7, and 9, demonstrating the critical need for a computer-based classification system for salinity prediction that could be used as a tool for automating the classification process for rice development to aid researchers and farmers in the rice crop management system.

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 Keywords

Salinity, Deep Learning, Rice Seedling

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Multimorbidity is the coexistence of multiple chronic conditions, posing a significant challenge to healthcare systems worldwide. This article gives information of the intricate landscape of multimorbidity, emphasizing the importance of tailored strategies for effective management. Focusing on the it's prevalence in India, this article explores the multidimensional nature of multimorbidity, considering factors such as financial burden and healthcare utilization. The article highlights on key components of successful multimorbidity management, including comprehensive assessments, individualized treatment plans, regular medication reviews, patient-centered innovations, and patient education. These components are pivotal in addressing the diverse needs of patients living with multimorbidity, ensuring personalized and holistic care. Looking to the future, this article discusses emerging trends like Online Patient Education (OPE) programs, medication simplification, increased involvement of physician as well as clinical pharmacists, and patient-centered outcomes. These innovative approaches hold promise in improving the quality of life for individuals grappling with multimorbidity. In conclusion, this article underscores the urgency for healthcare systems to adopt patient-centric approaches in managing multimorbidity. By embracing personalized care, empowering patients, and by using new technological advancements, healthcare providers can navigate the challenges that posed by multimorbidity and improve quality of life of individuals living with this complex health condition.

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 Keywords

Multimorbidity, Chronic Conditions, Prevalence, Multiple treatment therapy, Strategies.

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This comprehensive survey study investigates retinal blood vessel separation techniques, gathering insights from ophthalmologists and retinal imaging specialists in India. The study addresses the significance of these techniques in the field of ophthalmology and retinal imaging, emphasizing their role in clinical diagnosis and research. Drawing from a diverse sample of professionals, the research examines the effectiveness of current separation methods, awareness of recent advancements, and the potential of artificial intelligence (AI) in improving these techniques. Additionally, it explores the challenges faced in retinal blood vessel segmentation and the primary imaging modalities used in practice. Ethical and privacy concerns related to AI-based segmentation are also examined. The study's findings offer valuable insights into the perceptions and practices of Indian professionals in the field, with implications for training, software development, ethics, and the integration of AI. This research contributes to the broader understanding of retinal imaging practices in India and provides recommendations for businesses and policymakers to enhance the quality of eye care in the country.

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Retinal Blood Vessels, Separation Techniques, Ophthalmologists, Retinal Imaging Specialists, India.

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 Abstract

Commerce drives economic growth, development and prosperity, promotes regional and international interdependence, fosters cultural exchange, creates jobs, improves people's standard of living by giving them access to a wider variety of goods and services, and encourages innovation and competition for better products.With the right technology, companies can streamline operations, make better decisions, deliver a better customer experience, and maximize returns. The role of technology in business is to enable companies to operate more efficiently, effectively, and competitively.

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E-Commerce, E-Tech, B2B,B2C,modules of e-commerce, USA regulations and commerce policies

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The increasing digitization of societal processes has paved the way for the exploration of innovative technologies to enhance the integrity and security of critical systems, particularly in the realm of electoral processes. This paper introduces an Online E-Voting System utilizing Blockchain technology, aiming to address the challenges associated with traditional voting systems such as fraud, tampering, and lack of transparency. The proposed system leverages the decentralized and immutable nature of blockchain to establish a secure, transparent, and auditable platform for conducting electronic voting.

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Blockchain, consensus, e-voting, government, industry, security, transparency.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Paper uploaded

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Innovation, Business models, emerging technologies

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Creative Commons Attribution 4.0 and The Open Definition

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This review paper explores the current applications of Artificial Intelligence (AI) in conjunction with Remote Sensing (RS) and Geographic Information System (GIS) technology for river water management. It also discusses the potential future applications of AI in improving the accuracy of water quality predictions. While the literature on AI in the water domain is extensive, the ethical aspects of AI applications in water management receive limited attention. This paper emphasizes the need to consider ethical considerations alongside technological advancements. The integration of AI-GIS technology has shown promising results in predicting water quality parameters with greater accuracy.

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 Keywords

RS : Remote Sensing GIS : Geographical Information System AI : Artificial Intelligence GIS : Geographic Information System ANI : Artificial Narrow Intelligence AGI : Artificial General Intelligence ASI : Artificial Super Intelligence IoT : Internet of Things DSS : Decision Support System ESRI : Environmental Systems Research

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 Abstract

PROSPECTIVE STUDY OF USAGE OF ANTIBIOTICS AT A TERTIARY CARE TEACHING HOSPITAL

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Creative Commons Attribution 4.0 and The Open Definition

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PROSPECTIVE STUDY OF USAGE OF ANTIBIOTICS AT A TERTIARY CARE TEACHING HOSPITAL

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Creative Commons Attribution 4.0 and The Open Definition