Volume 12 | Issue 4 |

 Abstract

The concept of hybrid working conditions, characterized by a blend of remote and in-office work arrangements, has gained prominence in recent years, primarily driven by advances in technology and the need for flexible work environments. This abstract provides an overview of the research on how these hybrid working conditions affect employee productivity. Drawing upon a comprehensive review of existing literature, this study highlights key findings related to the impact of hybrid work arrangements on employee productivity. The research suggests that while hybrid working conditions offer numerous benefits, such as increased work-life balance, reduced commute times, and enhanced flexibility, they also pose challenges to maintaining high levels of productivity. Factors such as communication difficulties, feelings of isolation, and distractions in home environments can negatively affect employees' ability to stay focused and perform optimally. In conclusion, this abstract provides a concise overview of the research on the impact of hybrid working conditions on employee productivity. It underscores the complexities and nuances of this evolving work model, emphasizing the significance of proactive management and support to maximize the benefits of hybrid work while minimizing its potential drawbacks.

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 Keywords

Hybrid working conditions , Flexible working environment , High Levels of productivity , Evolving work models

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The Securities and Exchange Board of India (SEBI) has emerged as a cornerstone in defining and molding the framework of the Indian securities market. This research paper delves into the audacious journey of SEBI, tracing its pivotal role in establishing the intricate securities market system in India. By scrutinizing the nature of the Indian securities market and dissecting SEBI's multifaceted role, this study aims to provide a comprehensive understanding of the market dynamics. Additionally, the paper explores the challenges encountered by SEBI in its regulatory endeavors. The Indian securities market, characterized by its complexity and dynamism, has undergone significant transformations over the years. SEBI, as the regulatory watchdog, has been instrumental in shaping the contours of this market ecosystem. The paper begins by exploring the historical evolution of the Indian securities market, highlighting key milestones and regulatory shifts that have influenced its current structure. A critical analysis of SEBI's role unfolds, emphasizing its proactive measures in maintaining market integrity, ensuring investor protection, and fostering transparency. SEBI's functions extend beyond mere regulatory oversight; it actively contributes to the development and enhancement of market infrastructure. By implementing innovative policies and frameworks, SEBI has sought to strike a balance between fostering market growth and safeguarding investor interests. Furthermore, the study delves into the challenges faced by SEBI in fulfilling its regulatory mandate. From addressing market volatility to adapting to technological advancements, SEBI navigates a myriad of challenges inherent to the ever-evolving financial landscape. The paper explores the regulatory dilemmas faced by SEBI, such as striking a balance between innovation and risk mitigation, and the ongoing quest for effective enforcement mechanisms. The paper also sheds light on the global context, drawing comparisons with international regulatory frameworks. By benchmarking SEBI's practices against global standards, this research contributes to the ongoing discourse on regulatory convergence and divergence. Understanding the global landscape provides insights into potential areas of improvement for SEBI and identifies best practices that can be adopted to enhance the efficiency of the Indian securities market.In conclusion, this research paper serves as a comprehensive analysis of the Indian securities market, focusing on the instrumental role played by SEBI in its evolution. By examining the nature of the market, evaluating SEBI's functions, and addressing the challenges encountered, the paper offers valuable insights for policymakers, market participants, and scholars. The findings contribute to the broader discourse on regulatory frameworks, offering a nuanced understanding of the delicate balance required to foster a thriving securities market while safeguarding the interests of all stakeholders.

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 Keywords

SEBI, Securities and Exchange Board of India, Securities Market

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Bridge construction today has achieved a worldwide level of importance. Extension development today has accomplished an overall dimension ofsignificance. Extensions are the key components in any street system and utilization of strengthened support type spans picking up notoriety in scaffold building organization in light of its better security, functionality, economy, stylish appearance and auxiliary effectiveness. By and large for long range Box brace spans are progressively basic proficient. Box support opposes the torsional unbending nature and appropriate for critical bend. For this investigation, four distinctive scaffold supports are viewed as specifically Rectangular Single cell Box Girder (RSBG), Trapezoidal Single cell Box Girder (TSBG) of ranges 20 m, 30 m, 40m and 50m. Direct Static and Modal Analysis are performed on all the considered extension supports utilizing connect wizard. IRC Class AA Tracked Loading framework is considered for the examination. A near give an account of dynamic Characteristics of all the considered extension braces utilizing Staad Pro.

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Stiffness, modal analysis, Linear Static analysis, loading system, Dynamic Characteristics.

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Creative Commons Attribution 4.0 and The Open Definition

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Financial changes and the arrangements of LPG i.e. Liberalization, Privatization and Globalization has become a central change in Indian economy, India has encountered in the revenue of the IT industry is predicted to grow annually at the rate of 12.98% from 2024 to 2028 due to the global business in the ITEs industry set by India both locally as focus in internationally. The market cap is 43 billion of dollar by the end of the period. IT and ITeS is one such segment which picked up its development force amid this period, along these lines it has noticeable place for India in Global market. This part has visible promise to GDP and is one of the real exporters in profit division. Today this is the segment which is pulling in major outside speculators to put their cash in India. The significant criteria for speculation are remarkable money related performance. Hence, the target of the present study is to examine the money related performance of chosen [forty-five] Indian IT and ITeS organizations, recorded in National Stock Exchange. The examination demonstrated that huge organizations are better performers and medium organizations are steady performers.

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 Keywords

IT and ITeS, Financial Performance, Profitability, Solvency, Activity, Liquidity

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Creative Commons Attribution 4.0 and The Open Definition

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The automation and complexity of supply chains are resulting in significant advantages in the present environment. Concurrently, individuals are placing more emphasis on the quality of food goods. Traditional supply networks are centralised and depend on an external entity for transactions. Centralised structures lack transparency, accountability, & auditability. We have developed a detailed plan for a blockchain-powered food and agricultural supply chain. The system leverages the fundamental characteristics of blockchain technology and employs intelligent contracts that are structured within the blockchain network. Blockchain guarantees data permanence inside the network but does not resolve critical supply chain management challenges including party trustworthiness, trade procedure transparency, and item tracking. The storage system generates a hash value for the data saved on the blockchain to provide an effective, secure, and reliable solution.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Blockchain, NGO, SHA

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Folk performances known as "Danda Nata," performed by rural farming communities and tribal people in Western and Southern Odisha, resemble religious festivals. It commences once a year, starting in the month of April (Chaitra), and continues for thirteen or twenty-one days that finish on Maha Vishuba Sankranti or Pana Sankranti. It comprises not just dance, music, theater, magic, circus, and stand-up comedy but also intricate rites and worships. It is a religious-theatrical performance done by the tribal or non-tribal people of Southern Odisha mainly Kandhamal district without any caste prejudice. The devotees of Danda Nata are named Dandua or Bhokta, and the head of them called Pata Dandua or Pata Bhokta. The thirteen Bhoktas conducted all ceremonial tasks in Danda Nata. It was also separated into four stages, i.e., Dhuli Danda, Pani Danda, Agni Danda, and Suanga Danda. The Dhuli Danda contains sixteen varieties of sand service, workout, theater, prank, etc. The Agni Danda and Pani Danda also cover all ceremonial procedures in Danda Nata. Lastly, the Nrutya Danda incorporates not only sixteen genres of dance, music, and band but also theater, stand-up comedy, mime, etc. The major gods of the Danda Nata are Lord Shiva and goddess Kali. It is also an amalgam of Hindu and tribal deties. In Danda Nata, a minimum of traditional musical instruments are employed. A broad range and diversity of fascinating music is generated by employing a dhol, a mahuri, a flute, a mardal, a ghanta, a ghungur, a tasa, a lishan, etc. This present Paper intends to study on the Dhuli Danda Nata and the ritual practices in Kandhamal district.

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 Keywords

- Danda Nata, Dandua, Bhokta, Suanga, Dhuli Danda, Pani Danda, Agni Danda, Mime, Flute

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This article focuses on saliva as a diagnostic medium of choice and the various biomarkers that are elevated in oral cancer. The outcome of Research proves that 90 % of the oral cancers are oral squamous cell carcinoma. The causative factors, risk factors, and screening for oral cancers are elaborated. Salivary biomarkers can be classified into genomic and protein bio markers. Among Genomic biomarkers the role of micro RNAs is specified and these nitidity of various protein biomarkers such as matrix metalloproteinases, cytokines are studied.

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? Lymphoma ? Minorsalivarygland ? MucosalMelanome ? Sarcomas ? SquamousCellCarcinoma

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Creative Commons Attribution 4.0 and The Open Definition

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In the realm of hypothesis testing, students often encounter a perplexing dilemma: when to employ a z-test versus a t-test. Traditional guidelines suggest that a z-test is appropriate for sample sizes exceeding 30, while a t-test is suitable for smaller samples. However, this distinction becomes murkier when considering statistical software like SPSS, which exclusively utilizes t-tests for hypothesis testing, leaving the z-test seemingly absent. In this paper, we aim to provide clarity on the appropriate circumstances for employing both z-tests and t-tests, thereby dispelling the confusion surrounding their usage. Through a comprehensive exploration, we endeavor to equip readers with the knowledge necessary to confidently navigate hypothesis testing scenarios, elucidating the nuanced differences between these two methodologies.

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 Keywords

Hypothesis, z-test, t-test

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Creative Commons Attribution 4.0 and The Open Definition

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Convolutional Neural Networks (CNNs) have demonstrated remarkable performance in various image classifi- cation tasks. However, recent studies have shown that CNNs are vulnerable to adversarial attacks, where imperceptible perturba- tions added to input images can lead to misclassification. This vulnerability raises concerns about the reliability and security of CNN-based systems, especially in critical applications such as autonomous driving and medical diagnosis. In this research paper, we investigate the robust training of CNNs against adversarial attacks, focusing on the Fast Gradient Sign Method (FGSM). We propose a training methodology that incorporates adversarial examples during the training process to enhance the network's robustness. Through extensive experiments on the CIFAR-10 dataset, we demonstrate that our proposed approach effectively improves the CNN's resilience against FGSM attacks, resulting in enhanced performance and reduced vulnerability to adversarial perturbations. Our findings contribute to advancing the understanding of adversarial robustness in CNNs and provide insights for developing more secure and reliable deep learning systems.

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Index Terms--Convolutional Neural Networks (CNNs), Ad- versarial Attacks, Robust Training, Fast Gradient Sign Method (FGSM), Image Classification, Deep Learning, Cybersecurity, Adversarial Examples, Resilience Security

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In this Research Blood cells help us to fight infections by attacking bacteria, viruses, and germs that invade the body. White blood cells originate in the bone marrow but circulate throughout the bloodstream, while red blood cells help transport oxygen to our body. Accurate counting of those may require laboratory testing procedure that is not usual to everyone. Generating codes that will help counting of blood cells that produce accurate response via images gives a relief on this problem. The suggested method includes preprocessing blood cell pictures, feature extraction and training machine learning models for cell detection and counting. A variety of advanced classification techniques are used they are Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN) are used to evaluate the shape of cells and differentiate between various cell types. To guarantee accurate results in a wide range of applications the model is trained on a Blood Cell Images dataset which includes different blood cell types and conditions.

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 Keywords

RBC, WBC, Blood cell Detection, Blood cell counting, Machine Learning.

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Creative Commons Attribution 4.0 and The Open Definition