Volume 13 | Issue 1 |

 Abstract

Wok life balance is a procedure of identifying key competencies for the company or an organization and the jobs and functions within it. It's activity which deserves paramount importance in the organization. Any well-managed organization should have well-defined roles and list of competencies required to perform each role well. Employee feedback analyses the individual employee's strengths and weaknesses for understanding him better and helps in facilitating his career growth.

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 Keywords

Keywords :- Well-being - Mental Health - Aviation - Employee - Safety-Job Satisfaction

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 Abstract

Effective material management is crucial in construction and industrial projects, as it directly impacts costs, timelines, and project success. Traditional material tracking methods can be inefficient and error-prone, often leading to delays and budget overruns. This study proposes an analogy-based system for material tracking, designed to improve accuracy and efficiency on construction sites. By drawing comparisons to established logistics and inventory management practices, the system leverages technology such as RFID tagging, GPS tracking, and real-time data processing to monitor material movement and usage. The analogy-based approach helps adapt proven strategies from other industries, like retail and manufacturing, to suit the unique demands of a construction site. Implementing this system not only enhances accountability and reduces waste but also provides stakeholders with transparent, up-to-date information, improving decision-making and resource allocation. Field trials demonstrate the system's effectiveness, indicating significant potential for broader adoption in the construction industry to streamline material management and support project objectives.

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Space Management: The system emphasizes efficient space management, especially in congested urban areas where space is limited. Floor-Level Layout: It involves creating a floor-level construction material layout to minimize excessive re-positioning of materials. Material Deliveries: The system helps manage material deliveries, staging areas, and crane locations effectively. Urban Construction: It is particularly useful for multi-floor building projects in urban areas where multiple constructi

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Autism Spectrum Disorder (ASD) raises a challenge in early diagnosis due to its diverse symptoms and unclear etiology. Present study focuses on exploring potential biomarkers associated with the pathogenesis of ASD through the analysis of urinary neurotransmitters using liquid chromatography-tandem mass spectrometry (LCMSMS). A total of 104 urine samples (64 ASD and 40 non-ASD controls) were collected and analyzed. Significant differences were observed in the levels of serotonin, 5-hydroxyindoleacetic acid (5-HIAA), and normetanephrine between ASD and non-ASD groups (p<0.05). Principal component analysis (PCA) revealed minimal variation between groups. Correlation analysis indicated weak positive correlations between serotonin and 5-HIAA (p<0.05), while negative correlations with metanephrine and normetanephrine (p<0.05). Metanephrine and normetanephrine had a moderate negative correlation (p<0.05). Heatmap analysis illustrated difference in the concentrations of serotonin, 5-hydroxy indoleacetic acid and normetanephrine and metanephrine among ASD and control group. Tryptophan (impact factor-0.12) and tyrosine (impact factor-0.02) pathways are highlighted in the pathway enrichment analysis (p<0.05). Serotonin, 5-hydroxy indoleacetic acid and normetanephrine (p<0.05) were identified as the potential biomarkers through Receiver operating characteristic (ROC) analysis, showed high area under the curve (AUC) values and strong sensitivity and specificity while metanephrine showed low performance (p<0.79). Present work emphasizes the importance of urinary neurotransmitters as a tool for identifying ASD and provides insight into neurobiological mechanisms underlying the disorder. Further research is essential to validate these findings.

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 Keywords

Autism Spectrum Disorder, Neurotransmitters, Liquid chromatography, Mass spectrometry, Biomarkers

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Social Media sites like twitter have billions of people share their opinions day by day as tweets. As tweet is characteristic short and basic way of human emotions. So, in this paper we focused on sentiment analysis of Twitter data. Most of Twitter's existing sentiment analysis solutions basically consider only the textual information of Twitter messages and strives to work well in the face of short and ambiguous Twitter messages. Recent studies show that patterns of spreading feelings on Twitter have close relationships with the polarities of Twitter messages. In this paper we focus on how to combine the textual information of Twitter messages and sentiment dissemination models to get a better performance of sentiment analysis in Twitter data. To this end, proposed system first analyzes the diffusion of feelings by studying a phenomenon called inversion of feelings and find some interesting properties of the reversal of feelings. Therefore, we consider the interrelations between the textual information of Twitter messages and the patterns of diffusion of feelings, and we propose an iterative algorithm called SentiDiff to predict the polarities of the feelings expressed in Twitter messages. As far as we know, this work is the first to use sentiment dissemination models to improve Twitter's sentiment analysis. Numerous experiments in the real-world dataset show that, compared to state-of-the-art text-based analysis algorithms.

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 Keywords

Text Mining, Machine Learning, Sentiment Analysis, Sentiment Diffusion, Twitter.

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India's shift towards digitalization has transformed traditional manual systems into a centralized online platform for registering complaints. However, the security of the First Information Report (FIR) process remains a significant concern. This paper proposes a solution that utilizes blockchain technology to strengthen the security, traceability, and chronological accuracy of FIR records. The study examines current police case management procedures, explores the potential of blockchain, and discusses an integrated police record management system that incorporates blockchain, Machine Learning (ML), and the Internet of Things (IoT). A key focus of the paper is to propose a mechanism to prevent tampering with e-FIR data, which is vulnerable due to local control. The primary challenges with traditional methods include the lack of trust in e-FIR data, counterfeit registrations, and the risk of non-registrations. These issues stem from corruption, inefficiency, and a lack of transparency. The paper emphasizes the need for a system free from corruption, leveraging blockchain to ensure the integrity of e-FIR data, eliminate fake registrations, and foster a more transparent and reliable reporting system.

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Forensic Investigation, Law Enforcement, Blockchain Technology, Cybersecurity, Cryptography, Data Integrity, Security Threats.

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Salivary glands are rare, with an annual incidence rate of approximately 1 in 100,000 account for around 3% of all head and neck tumors. Types of Salivary Gland Tumors:1. Parotid Gland: Tumors arise from acinar, ductal, and myoepithelial cells, resulting in a diverse range of benign and malignant tumors.2. Submandibular and Sublingual Glands: Tumors in these glands are more likely to be malignant, with: Submandibular gland: approximately 50% malignant. Sublingual gland: approximately 80% malignant3. Minor Salivary Gland: Carcinomas can be difficult to diagnose early, as they often develop gradually and painlessly, presenting as a subtle lump in submucosal tissue. Salivary gland malignancies are a rare and distinct category of tumors, accounting for an annual incidence rate of approximately 1 in 100,000 Approximately 3% of all head and neck neoplasms

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Malignant salivary gland tumor, etiology, histopathology, treatment

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Creative Commons Attribution 4.0 and The Open Definition

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A system based on unmanned aerial vehicles (UAV) and LoRa technology has been designed that enables data transfer from sensors to a central system. Even though there is a great distance between aircraft and ground sensors, the UAV-LoRaWAN network guarantees direct visibility between them, enabling data interchange. In order to identify the best performance in the field, this research thoroughly analyzed and compared four different meta-heuristic techniques for UAV-Assisted LoRaWAN. Network throughput and energy efficiency were also included in the investigation. After this examination, we need to decide which method is more effective and appropriate for data exchange that is error-free. NS2 software was used to implement all four models.

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LoRaWAN, Unmanned Aerial Vehicle (UAV), Data collection, Seagull Optimization Algorithm, American Zebra Optimization Algorithm, low-density parity-check.

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Despite decades of research, remaining safety concerns regarding disease transmission, heterotopic tissue formation, and tumorigenicity have kept stem cell-based therapies largely outside the standard-of-care for musculoskeletal medicine. Recent insights into trophic and immune regulatory activities of mesenchymal stem cells (MSCs), although incomplete, have stimulated a plethora of new clinical trials for indications far beyond simply supplying progenitors to replenish or re-build lost/damaged tissues. Cell banks are being established and cell-based products are in active clinical trials. Moreover, significant advances have also been made in the field of pluripotent stem cells, in particular the recent development of induced pluripotent stem cells. Their indefinite proliferation potential promises to overcome the limited supply of tissue-specific cells and adult stem cells. However, substantial hurdles related to their safety must be overcome for these cells to be clinically applicable

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Mesenchymal stem cells, Orthopaedics, Pluripotent stem cells, Regenerative medicine, Skeletal repair

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Samples of stored drinking water were received from two regions of Coimbatore District, Tamilnadu, India and the following physicochemical properties such as pH, dissolved oxygen, temperature, biological oxygen demand, alkalinity, turbidity, hardness, dissolved and suspended solids, were assessed using standard protocols along with the microbial examination. The outcomes of the study displayed that all the parameters analyzed were within the tolerable limits in the water stored in copper container when compared to other containers like plastic, silver, underground, overhead and filter. Hence, it shall be resolved that all the water samples collected from Siruvani and Athikadavu which is stored in copper container are more suitable for drinking when compared to other containers like plastic, silver, underground, overhead and filter.

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Dissolved oxygen, turbidity, tolerable, physico-chemical and hardness.

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract This paper examines the pivotal roles and significant contributions of British and Indian women doctors in 19th century India. Through a comprehensive analysis of historical records, personal accounts, and scholarly literature, we explore the challenges these pioneering women faced, their impact on healthcare delivery, and their influence on social reform. The study highlights the intersections of gender, colonialism, and medicine, revealing how these women navigated complex social, cultural, and professional landscapes. Our findings demonstrate that despite facing numerous obstacles, women doctors in 19th century India made substantial contributions to medical practice, public health, and women's empowerment, laying the groundwork for future generations of women in medicine.

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 Keywords

women in medicine; 19th century India; colonial medicine; gender studies; medical history

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Creative Commons Attribution 4.0 and The Open Definition