Volume 14 | Issue 5 |

 Abstract

?????? ?? ??? ??????? ?? ?????? ?? ??? ?? ??????? ?? ???? ??? ?? ?? ?? ????? ??? ???? ????? ???? ??? ?????????? ?? ??? ??????? ?? ?????? ??? ????? ?? ?????? ?? ??? ????? ?? ?? ?????????????? ????????? ?? ???? ????? ??? ?????????? ?????? ?????? ????? ????? ??????? ?????? ???????, 1937 ?? ???? ??? ????? ????? ?? '????? ????? ???????' ?? ??? ??? ????? ??? ?? ??? ??? ??????????? ?? ?????? ?????? ????? ?????? ????? ????? ?? ??? ???? '?????????' ?? ????? ?? ????? ??????? ?? ?? ???? ????? ??? ?????????, ????? ?? ????? ?? ????? ?? ?????? ?????? ??? ????? ??????????? ???????, 1956 ????? ??????? ?? ??????? ?? ?????? ?????? ???? ???? ?????????? ?? ??? ?? ???? ??????? ??? ??????? ?? ???? 6 ???? ????? ?? ???? ???? ??????? ?? ????? ?? ????????? ?? ??????? ??? ??????? ?? ????? ?? ????? ??????? ?? ????? ????????? ??? ????????? ?? ????? ????? ??????????? (??????) ???????, 2005 ?? ???? 6 ??? ?????????? ???????? ??? ??? ?? ?? ?????? ?? ???? ?? ??????? ?? ??????, ??????? ?? ???? ????? ?? ?? ??, ????? ??? ??????? ?????? ??? ??? ??????????? ?? ???? ?????? ?? ???? ??? ?? ? ?? ??? ???? ???? ??? ????? ????? ?? ??? ??????? ?? ??????? ???????? ?? ????? ?? ??????? ?????? ?? ???? ???? ??? ????? ??????? ??????????, ??????? ????? ??????????? ???????, 1956 ?? ???? 2005 ?? ?????? ?? ?????????? ???????? ???? ??? ??, ????? ??????? ?? ??????????? ???????? ??? ????????? ????? ??? ??? ?????? ??? ???????-?????????? ?????? ?? ???????? ?? ??? ???? ?????? ????????? ?? ?????? ???? ??? ?? ?? ??????? ??????????? ??? ???? ????? ???? ?? ?? ?????? ??????? ?????????? ?? ?? ????????? ???? ??, ????????? ??????? ?? ????????? ??? ?????? ?????? ?? ????? ???? ??? ?? ???? ??????? ?? ??????? ???????? ?? ?????????? ???????? ????????? ???? ?? ??? ??????? ?? ????? ???? ?????? ???? ?? ?

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Creative Commons Attribution 4.0 and The Open Definition

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????? ???????, ??????? ??????, ??????, ??????? ?? ??????? ??????, ????? ??????????? ???????, 1956 ?

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Biomimicry, Oriental hornet, Telescopic mechanism, Kinetic design, Space-saving, compact lamp, Nature insect -inspired design, Sustainable design

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Creative Commons Attribution 4.0 and The Open Definition

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Agritech App is a mobile web-based agriculture renting system designed to make it easier for farmers to access agricultural resources. Small and medium-scale farmers often struggle with the high cost of buying farming equipment and finding land for short-term use. This system tackles these problems by offering a digital platform that lets users rent machinery and tools using their mobile devices. The app includes features like user authentication, listing resources, searching for what they need, booking services, and managing rentals in a clear and efficient way. By removing the need for middlemen and cutting down on manual tasks, the system reduces costs and saves time. It also helps make better use of resources, encourages sharing of modern farming equipment, and supports more sustainable farming methods. Agritech App shows how mobile web technology can be used to modernize agricultural services and boost productivity in the farming industry.

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Mobile Web Application, Web-Based Rental System, User Authentication, Online Booking System, Resource Management, Cloud-Based System, Database Management, Secure Transactions, Cross-Platform Application.

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT: BACKGROUND: Musculoskeletal disorders (MSDs), particularly in the neck and shoulder, are common occupational issues among dental professionals due to prolonged static postures and repetitive movements. Shoulder pain is frequently reported and may impact both performance and well-being. Handgrip strength serves as a reliable indicator of upper limb function and musculoskeletal health. AIM: The aim of the study was to observe the correlation between the shoulder pain upper limb musculoskeletal disorder and handgrip strength among dental professionals. METHOD: An observational study was conducted involving 100 dental professionals (50 males and 50 females) with an average age of 35 years. Participants completed a structured questionnaire to assess the presence of shoulder pain and upper limb MSDs, followed by handgrip strength testing using a dynamometer. Descriptive statistics and correlation analysis were used for data evaluation. RESULTS: Improving grip strength may help workers adopt better postures, reducing musculoskeletal injury risk, and also alleviate shoulder pain and disability. Strengthening hand and forearm muscles can enhance overall upper body function, reducing strain on the shoulder joint and leading to improved outcomes. CONCLUSION: This study found that dental professionals with weaker grip strength tend to experience more shoulder pain and disability due to postural instability. Therefore, exercises that strengthen the hand, forearm, and upper body muscles may help improve functional capacity and reduce discomfort.

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KEYWORDS: Shoulder Pain, Upper Limb Musculoskeletal Disorder, Handgrip Strength, Dental Professionals, Observational Study, Musculoskeletal Disorders (MSDs), Occupational

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Creative Commons Attribution 4.0 and The Open Definition

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The present research work was an attempt to design a formulation of Bilayer floating tablets with Teneligliptin as sustained release layer and evogliptin as immediate release layer for the treatment of type II diabetes mellitus. The extended release was prepared by wet granulation method using HPMC K 100M as sustained release polymer and sodium bicarbonate as gas generating agent to reduce floating lag time. Immediate release layer was prepared by direct compression using sodium starch glycolate as super disintegrant. Gastro retentive floating drug delivery systems have been designed to increase its residence time in the stomach. The granules were evaluated for bulk density, tapped density, Compressibility index, and hausner's ratio. The granules showed satisfactory flow properties. The tablets were subjected to weight variation test, hardness test, friability test, drug content test and swelling index. All the tablets were passed the tests. With the incorporation of a gas generating agent the floating lag time was 27 sec, and the duration of floating was >8hrs. The drug release from the prepared tablets was sufficiently sustained (more than 8hrs). The release kinetics of the Bilayer floating tablet was evaluated using regression coefficient analysis. The formulated tablets show a Zero order drug release and the mechanism is correlated well with Korsmeyer peppas mode with super case II transport mechanism. Stability studies did not show any changes in physical appearance, physicochemical properties, and drug release.

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Bilayer tablets, Gastro retentive floating drug delivery systems, Bilayer floating tablet

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Corporate governance, AI, Companies Act, stakeholder trust, ethical accountability, and OECD Principles

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Creative Commons Attribution 4.0 and The Open Definition

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The rapid growth of digital media and online social platforms has significantly increased the spread of fake news, which can mislead people and negatively impact public opinion, decision-making, and social harmony. This paper presents a content-based fake news detection system using a hybrid deep learning approach that combines Bidirectional Encoder Representations from Transformers (BERT) and Long Short-Term Memory (LSTM) networks to improve classification accuracy. BERT is utilized to generate contextualized word embeddings by understanding the semantic and syntactic relationships within the text, enabling the model to capture deep linguistic features from news content. The LSTM layer is integrated to effectively learn sequential patterns and long-term dependencies in the data, enhancing the model's ability to distinguish between real and fake information. The dataset used for this study consists of labeled news data from the FakeNewsNet repository, which is preprocessed using standard natural language processing techniques such as tokenization, stopword removal, text cleaning, and normalization. The model is trained and evaluated using performance metrics including accuracy, precision, recall, and F1-score, demonstrating improved results compared to traditional machine learning approaches. The system achieves an overall classification accuracy of approximately 88-90% on the test dataset and provides predictions in under two seconds, confirming its suitability for real-time applications. This work contributes to the development of intelligent systems for detecting misinformation and helps in reducing the harmful effects of fake news in online environments.

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Fake News Detection, BERT, LSTM, Transformer Models, Natural Language Processing, Deep Learning, Misinformation, Text Classification.

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Creative Commons Attribution 4.0 and The Open Definition

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The rapid proliferation of smartphones and AI technologies has created transformative opportunities in the domain of reservation and ticketing management. Traditional ticket booking systems suffer from long queue times, manual errors, overbooking, and lack of real-time updates. To address these challenges, an AI-Powered Reservation Ticket System with Mobile Integration has been developed. This system automates the entire booking lifecycle through intelligent slot allocation, dynamic pricing, real-time availability updates, and automated confirmation via mobile notifications. Key components include a machine learning-based demand forecasting engine, a mobile application (Android/iOS) for user interaction, a cloud backend for data management, and AI-driven chatbot support. The proposed system significantly reduces booking latency, improves resource utilization, and enhances user satisfaction. This paper outlines the system architecture, hardware and software components, implementation details, and evaluation results, along with future enhancements.

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Index Terms - AI Reservation System, Mobile Integration, Smart Ticketing, Machine Learning, Cloud Backend, Chatbot, Dynamic Pricing.

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Creative Commons Attribution 4.0 and The Open Definition

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Premenstrual Syndrome is recurrence of symptoms during the luteal phase of menstrual cycle. An exploratory study to assess knowledge regarding Premenstrual Syndrome among adolescent girls studying in selected nursing colleges of Indore. Quantitative research approach with one group Pretest Posttest research design was adopted & Non-probability purposive sampling technique was followed to select 60 adolescent girls. The self-structured questionnaire was administered. The study findings revealed that the majority of the adolescent girls, 48 (80%) were from the age group of 21-23 years, 71.7% had monthly income of family rupees above 15001, maximum 46.7% adolescents were vegetarians, 65% adolescent girls were menstruation menarche between 11-12 years of age, 48.3% adolescent girls had a history of PMS, maximum subjects 61.7% previous knowledge regarding PMS, 43.5% adolescents got the information from their friends and family members. The significant association were found between age of adolescent girls in which 21-23 years age of adolescent had average knowledge and showed a chi-square value (x2) = 6.336 was significant at 0.05 level as the p<0.5=6.336. So, it was concluded that premenstrual syndrome is characterized by the presence of both physical and behavioral symptoms that occur repetitively in the second half of the menstrual cycle and interfere with woman's life.

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Premenstrual Syndrome (PMS), Premenstrual Dysphoric Disorder (PMDD).

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: In the current business environment, the implementation of Big Data Analytics (BDA) becomes highly critical for innovating and improving performance. Thus, the aim of the paper is to examine the ways how organizations may process both structured and unstructured data to gain some useful insights and make more efficient business decisions. The growing amount of data created by social networking sites, Internet-based commercial transactions, and the Internet of Things makes the use of analytics highly crucial for businesses. Additionally, modern analytics allows firms to understand customer needs, optimize operations and launch new products or services thanks to sophisticated algorithms, which include machine learning and predictive analytics. Nevertheless, the paper will also address the need to use adequate methods for proper data processing and visualization. However, the usage of BDA faces several challenges related to data quality, data integration, expensive technology infrastructure, and scarcity of professionals

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Keywords: big data analytics, business innovation, data-driven decision-making, machine learning, predictive analytics, digital transformation.

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Creative Commons Attribution 4.0 and The Open Definition