Volume 12 | Issue 6 |

 Abstract

Objective :To evaluate the effect of stroke on diaphragm in chronic stroke individuals Method : A systemic review of observational,cross sectional and case series was performed. SCOPUS, Google schola, EBSCO and PubMed were searched using the terms respiratory muscle strength and trunk control and stroke.Preferred reporting items for scoping review, PRISMA,CASP-systemic review checklist was used to examine the section of each report. Result: A total of 52 studies were identified of which 14 were copyright hence excluded and 9 were full text reviews hence were included. Conclusion: In our study we have found that their is reduced diaphragm thickness, reduced mobility and reduced excursion of diaphragm in the affected side hemidiaphragm in chronic stroke individuals,all the studies are based on ultrasonographic or radioscopic findings,also in the studies which focused on pulmonary function test it was found that stroke patients had poor results in respiratory capacities.

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 Keywords

stroke,diaphragm, diaphragm thickness,changes in diaphragm after stroke

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Big data is a new driver of the world economic and societal changes. The world's data collection is reaching a tipping point for major technological changes that can bring new ways in decision making, managing our health, cities, finance and education. While the data complexities are increasing including data's volume, variety, velocity and veracity, the real impact hinges on our ability to uncover the `value' in the data through Big Data Analytics technologies. Big Data Analytics poses a grand challenge on the design of highly scalable algorithms and systems to integrate the data and uncover large hidden values from datasets that are diverse, complex, and of a massive scale. Potential breakthroughs include new algorithms, methodologies, systems and applications in Big Data Analytics that discover useful and hidden knowledge from the Big Data efficiently and effectively.

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Introduction to big data, Big data analytics, Analytical theory and methods

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The COVID-19 pandemic has accelerated the integration of Information and Communication Technology (ICT) in teacher education, necessitating a reevaluation of its role in preparing educators for the challenges of the digital era. This abstract examines the transformative impact of the pandemic on teacher training programs, highlighting the urgent need to adapt pedagogical approaches to leverage ICT effectively. Through an analysis of emerging trends and best practices, it explores innovative strategies for incorporating digital tools into teacher education curricula, emphasizing collaborative learning, personalized instruction, and inclusive practices. Additionally, it addresses the importance of digital literacy and technological proficiency among educators, as well as the ethical considerations and challenges associated with ICT integration. By presenting a forward-looking perspective on post-pandemic teacher education, this abstract aims to inform policy makers, educators, and stakeholders about the evolving landscape of ICT in the training and professional development of teachers.

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Pandemic, ICT, Teacher education, Digital resources

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Abstract This study explores India's trade dynamics from 1991-1992 to 2019-2020, a period marked by significant economic reforms. Utilizing data from reputable sources like the RBI, WTO, UNCTAD, World Bank, and WITS, detailed analysis was conducted on exports and imports, categorizing them by industries, countries, and regions. Through rigorous cleaning and analytical methods such as time-series analysis and trend detection, the study reveals fluctuating trade balances, with exports and imports both experiencing substantial growth. The widening trade deficit underscores the need for sustainable balance policies. Furthermore, global events like the 2008-09 Global Financial Crisis and the COVID-19 pandemic have impacted India's trade. Pre-1991, India operated as a closed economy with high import duties and restrictions on foreign investment, emphasizing domestic control of commercial sectors. Ethical considerations were prioritized, adhering to terms of use specified by data sources. India's trade balance shifts between surplus and deficit due to global ties and economic factors. Exports rise steadily, demonstrating product competitiveness. Imports grow, showing increased international product integration. However, the widening trade gap, reaching $184 billion in 2018-19, calls for sustainable policies. External events like the Global Financial Crisis and COVID-19 affect India's trade balance, emphasizing the need for adaptability.

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Keywords: India's Trade Pattern, Trade Balance, Export-Import Growth.

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The human immunodeficiency virus (HIV) remains a major global health challenge, with millions of people infected worldwide. While significant progress has been made in HIV treatment over the past few decades, here is still an urgent send for novel therapeutic agents to combat drug resistance and improve patient outcomes. In silico drug design has emerged as a powerful tool in the discovery and development of new anti-HIV drugs. By leveraging computational methods and structural data, researchers rapidly identify promising compounds, optimize their properties and predict their interactions with viral targets. This review provides a comprehensive overview of recent advances in in silico drug design strategies for HIV, including structure bases drug design, ligand-based drug design, and machine learning approaches. We discuss the key viral targets for drug discovery, such as reverse transcriptase, protease, and integrase, and highlight successful case studies of computationally-designed HIV inhibitors that have progressed to clinical trials. We also explore the challenges and future directions in this field, such as the need for more accurate binding affinity prediction tools and the integration of in silico methods with experimental validation. Overall, in silico drug design offers a promising avenue for accelerating the discovery of novel anti-HIV therapeutics and improving the lives of those affected by this devastating virus.

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Keywords: HIV: silico drug design, structure-based drug design, ligand-based drug design: machine learning; viral targets

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Abstract: The novel Wife by Bharati Mukherjee deftly examines the psychological decline and deep estrangement that its lead character, Dimple Dasgupta, undergoes throughout her move from Calcutta to a suburban existence in the United States. This research explores the complex interplay of cultural dislocation, marital strife, and societal expectations that lead to Dimple's unravelling mental condition. The way that Mukherjee depicts Dimple's trip offers a moving look at the psychological effects of migration and the difficulties that immigrants have juggling competing cultural identities. Dimple experiences a bewildering identity crisis as a result of her move to America, which upends her sense of self, which is firmly anchored in her Indian ancestry. Through Dimple's internal difficulties and exterior battles to fit into American culture while retaining her cultural identity, Mukherjee exposes this problem. Dimple has increasing psychological discomfort as a result of the conflict between her conventional upbringing and the modern cultural standards she meets, which exacerbates her mental decline over time. The novel sheds light on the psychological decline and alienation that immigrants go through when they have to balance their ethnic identity with society expectations. Through Dimple's story, Mukherjee asks readers to reflect on the psychological and emotional toll that migration takes, providing a nuanced portrait of the resilience and internal conflicts faced by people torn between two very different cultural contexts.

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Keywords: Psychological deterioration, Mental breakdown, Alienation, cultural displacement.

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 Abstract

swami vivekanand aur balika siksha

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swami vivekanand aur balika siksha

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This research paper explores the pivotal role of emotional intelligence in leadership and its potential to drive India towards the realisation of the Viksit Bharat Vision 2047. Utilising a literature-based methodology, the study examines how leaders with high emotional intelligence can foster organisational environments that are innovative, inclusive, and sustainable--key pillars of Viksit Bharat. By synthesising existing research on emotional intelligence within leadership contexts, this paper aims to highlight its significance in navigating the socio-economic transformations envisioned for a developed India.

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Emotional Intelligence, Leadership, Viksit Bharat, Organisational Performance, Innovation, Sustainability, Inclusivity

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Methylene blue is a common dye utilized in various industries such as textiles, printing, and laboratory trying out. in terms of treating wastewater containing methylene blue dye, natural adsorbents can be effective and environmentally pleasant alternatives. Activated Carbon isn't always a "natural" in its processed shape, activated carbon can be derived from natural assets like coconut shells, wooden, or coal. It has a high surface place and porosity, making it effective for adsorbing a wide variety of pollution consisting of methylene blue dye. The effectiveness of those natural adsorbents can range depending on factors consisting of the unique dye awareness, pH of the solution, contact time, and temperature. additionally, the regeneration and reusability of the adsorbents have to also be considered for sensible applications. normal, herbal adsorbents offer a promising approach for the remedy of methylene blue dye and other pollution in wastewater.

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Methylene Blue, Adsorbent, Isotherm, Design expert (Software)

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The paper proposes a methodology of deriving a composite index of regional FDI attractiveness scores. By adopting a research methodology that is deductive in nature, the paper first selects a set of variables (proxies) which seeks to include all the identifiable, measurable, and comparable aspects affecting the inflow of FDI. The paper next aggregates these variables using the technique of TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) used in Multiple Criteria Decision Making (MCDM). Regional rankings based on actual per-capita FDI inflows are next compared with those based on TOPSIS based composite rankings. Regional difference in actual FDI inflows can thus be attributed to differences in regional FDI attractiveness scores.

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FDI Inflow, Composite Score, FDI Attractiveness Score, TOPSIS, Entropy

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