bluuebunny/crossref_metadata_2025 huggingface dataset:
The Hidden Lever of Cognitive Time: Extending Activity-Based Costing in the Digital Economy
Authors: Rashed Baker Zakaria Alwardat Aram Mohammed-Amin Qadir,
Published: December 2023

In today's fast-paced digital world, we're finally realizing that "brain time" isn't just a quirky concept but a crucial economic asset. Sure, the clock on the wall is ticking, but what about the mental clock inside our heads? We're all spending a lot of "cognitive time" to complete tasks, solve problems, and come up with innovative ideas, but no one has really figured out how to manage this resource effectively. That's a big problem, especially when you consider that how long you think about a task isn't necessarily the same as how long that task actually takes in "wall clock time."

Enter our new tech solution: Cognitive Time-Driven Activity-Based Costing, or CTABC for short. It's like a software upgrade for the well-known time-driven activity-based costing method, which many businesses already use to figure out how much their activities cost. What sets CTABC apart is that it factors in human cognition—the mental effort it takes to get stuff done. It's like having a mental stopwatch that actually keeps track of how much brainpower goes into every project, task, or activity. And guess what? It's a game-changer. Why? Because CTABC reveals a hidden glitch, or what we like to call the "hidden lever effect," that has been messing with economic efficiency. You see, most traditional costing methods overlook the cognitive load, or mental effort, it takes to complete tasks. As a result, businesses can seriously underestimate costs, leading to all kinds of inefficiencies and budget headaches.

We're not just throwing theories here; we've run tests that show how CTABC can shine a light on these hidden costs and inefficiencies. For example, it reveals how old-school costing models often underestimate the real costs by ignoring cognitive time. Just think about it—how many times have you or your coworkers misjudged how long a task will take, not because you can't tell time, but because you didn't account for the mental effort involved? Exactly. So, what's the big takeaway? Our CTABC tech doesn't just give a more accurate picture of costs; it provides a roadmap for businesses looking to streamline operations, allocate resources more wisely, and get the most bang for their buck in a digital economy that prizes mental agility. And from an academic standpoint, our research adds a fresh perspective to ongoing debates about cost accounting tech and the evolving digital landscape. It's especially useful for tackling the age-old problem of why we're often so bad at estimating how long tasks will take. In a nutshell, CTABC is like having a new set of eyeglasses that lets businesses see the world, and their own operations, more clearly. It's high time we started paying attention to cognitive time, not just clock time, and CTABC is the tool to help us do just that.
Performance Analysis Of DSMST Converter FED BLDC Motor
Authors: Jeetender Vemula, E. Vidya Sagar
Published: December 2023

A positive output voltage SEPIC-type DC-DC converter called DSMST (modified SEPIC topology) without a transformer for use in electric vehicles. The DSMST converter is derived from the traditional SEPIC converter with the addition of a switching cell. Furthermore, the output diode and inductors are interchanged for the continuous output current. In the realm of electric vehicles, the utilization of Brushless DC (BLDC) motor drives coupled with a DC-DC converter has become increasingly important. Specifically in the context of electric vehicles, the use of BLDC motors offers several technical advantages compared to other types of motors such as DC, induction, and switched reluctance motors. The DSMST converter is connected to the BLDC motor through a three-phase voltage source inverter (VSI) to regulate the voltage and current supplied to the BLDC motor, ensuring optimal performance. To regulate the speed of drive, a closed loop control system is developed using hall sensor signals. The proposed system is developed in the MATLAB/Simulink to check the applicability of electric vehicle configuration and the results shown that the proposed converter is well suitable for electric vehicle applications.
Virtual Worlds, Real Skills: Is the Metaverse the Future of Accounting Education?
Authors: Rashed Baker Zakaria Alwardat, Aram Mohammed-Amin Qadir,
Published: December 2023

The onset of the COVID-19 pandemic radically altered the landscape of education, particularly affecting primary and secondary school students. Traditional classroom environments, characterized by physical interaction and social learning, were suddenly swapped out for remote learning platforms during the first two academic years of the pandemic. While educational institutions quickly pivoted to online learning to maintain some semblance of normalcy, research indicates that these years represented a low point in educational quality for teachers and students alike. A plethora of educational models have emerged in response to the challenges introduced by the pandemic-induced shift to digital learning. Among these, three-dimensional virtual learning environments have attracted considerable attention. These platforms aim to elevate the student experience by enhancing readiness levels and promoting interpersonal interaction. In the context of these sweeping changes, the study focuses on the Metaverse—a concept that has garnered significant buzz in contemporary discussions on digital transformation.

The study's primary objective is to explore the feasibility of using the Metaverse as an educational tool, particularly in the realm of accounting education. The paper delves into various facets of the Metaverse, reviewing the existing literature to understand its potential benefits and limitations. Specifically, the study scrutinizes its application in accounting education, outlining a series of recommendations based on evaluations of previous educational endeavors within Metaverse settings. The study brings to light various critical points concerning the adaptability and efficacy of the Metaverse as a viable model for accounting education. It raises essential questions: Can the Metaverse bridge the gap left by traditional classroom settings in fostering engagement and facilitating high-quality learning experiences? Or are the complexities and limitations of this novel platform too great to make it a practical solution for accounting education? By investigating these queries and cross-referencing them with empirical evidence, the study provides a nuanced understanding of the Metaverse's potential role in shaping the future of accounting education. The pandemic has been a catalyst for innovation in education but has also highlighted the limitations of hastily adopted digital models. The study ventures into the realm of possible solutions, examining the Metaverse as a prospective alternative that could potentially revolutionize accounting education. Through an in-depth review of the literature and a critical evaluation of existing Metaverse educational models, the paper offers valuable insights that could inform future educational strategies in the accounting domain.
Synthesis Methods - Product Feature Prioritization Frameworks in Startups using PRISMA
Authors: Dr. P Pon Meenakshi, Mrs. Mehta Vani Joghee
Published: December 2023

The focus of the research is to understand the prioritization framework utilization or adoption from the Startups, Factors influencing prioritization framework selection, decision making on selecting the prioritization and relevant case studies. Though there are various methods available for synthesizing qualitative research. The need for the synthesis was more towards arriving at an approach grouping the studies into various homogeneous groups or categories to identified evidence of the synthesis to represented for Startups , Digital Product Development, Includes factors influencing prioritization and availability of case study
Mastering The Stock Market: Strategies For Success
Authors: Dr. Santhi K
Published: December 2023

The stock market is a dynamic and complex arena where investors and traders aim to grow their wealth. This paper, "Mastering the Stock Market: Strategies for Success," provides a comprehensive exploration of the stock market, offering valuable insights, strategies, and techniques for achieving success in the world of investments.

The paper begins by delving into the historical perspective of stock markets, tracing their evolution and development over time. It emphasizes the various participants in the stock market, from individual investors to institutional players, shedding light on their roles, motivations, and impact.

A fundamental understanding of investment principles is crucial, and this paper takes the time to examine the differences between stocks and other asset classes. It dissects the intricacies of risk and return, offering a detailed explanation of how diversification can mitigate risk and enhance returns.

The heart of this paper lies in its exploration of stock market strategies. It covers both fundamental analyses, emphasizing the importance of financial metrics and value investing, and technical analysis, where charts and indicators are used to make informed decisions. Market timing, including long-term investing and short-term trading, is discussed in detail, along with key strategies for managing risk and protecting capital.
A Novel Technique for Restoration of Images Subjected to Variable Noise Distribution
Authors: Kalaiah J B, Dr. S.N Chandrashekara
Published: December 2023

Image restoration plays a pivotal role in numerous applications across diverse fields due to its profound significance in enhancing the quality and interpretability of images. Whether in medical diagnostics, scientific research, surveillance, or historical preservation, the importance of image restoration cannot be overstated. By addressing issues such as noise, blur, and other forms of degradation, this process contributes to the preservation of vital information within images. This research focuses on enhancing image-denoising techniques by employing the Ladner-Fischer Adder (LFA) method. The study explores the effectiveness of LFA in mitigating varying noise distributions, particularly Salt and Pepper Noise (SPN) and Gaussian noise. Through detailed experimentation and analysis, the paper evaluates the performance of LFA-based Median Filtering (LFA-MF) and Finite Impulse Response (LFA-FIR) filtering methods. The results demonstrate substantial improvements in Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE), and Structural Similarity Index Measure (SSIM) values for both noise types. Notably, LFA-FIR consistently outperforms LFA-MF in terms of denoising efficacy, highlighting its potential for image restoration in the presence of complex noise patterns. Moreover, the research investigates the ASIC synthesis of LFA, examining parameters such as area, power consumption, and delay across different technology nodes. The findings emphasize the potential of LFA for robust image denoising under diverse noise conditions, offering insights into its applicability and performance in real-world scenarios.
Single User-Item Profile Matrix in Recommendations System
Authors: Dalai Niharika
Published: December 2023

Recommendation systems play a vital role in assisting users across various domains, including movies, music, books, and products, by providing personalized and relevant item suggestions. One popular approach employed in recommendation systems is the utilization of a utility matrix. This.0 matrix captures user-item interactions, with each cell representing a user's rating or preference for a particular item. By analyzing the utility matrix, recommendation systems can uncover patterns and resemblance between items and users, enabling accurate predictions and personalized recommendations. Collaborative filtering techniques, such as user-based and item-based approaches, are commonly applied to leverage the utility matrix. These techniques exploit collective user preferences similarities to suggest relevant items to users. Furthermore, the incorporation of additional data, such as item attributes or contextual information, and the adoption of hybrid approaches can further enhance recommendation system performance and effectiveness. By harnessing utility matrices and collaborative filtering, recommendation systems deliver tailored recommendations that enrich users' experiences and facilitate the discovery of items aligned with their individual preferences.

Single User-Item Profile Matrix (SUIPM) is an algorithm which predicts missing feature value like ratings, scores, rankings etc. It uses linear process to predict the missing feature value (like, ratings, scores etc.) of each user within a user cluster or a group of user clusters according to the user’s activity and the preferences. Single User-Item Profile Matrix (SUIPM) algorithm predicts much faster than the Utility Matrix due to its low time complexity. The SUIPM algorithm mainly focuses on the improvement and the optimization of the prediction quality of the Utility Matrix in the recommendations system.
A New Approach on Bipolar Second Degree Perfect Fuzzy Matching for Bipolar Fuzzy Graphs Based on Vertices
Authors: J. Anusha, Dr. B. Uma Devi, R. K. Shanmugha Priya
Published: December 2023

Graph is a visual representation of data. In mathematics, graph is a structure which creates the pairwise relation between objects.  The objects are known as nodes or vertices and the connection between two nodes are known as links or edges. A graph is a symmetric binary relation on a non-empty set  whereas Fuzzy graph is a symmetric binary fuzzy relation on a fuzzy subset.  Bipolar Fuzzy graph is a generalization of graph theory by using bipolar Fuzzy set.  The bipolar Fuzzy sets are the extension of Fuzzy sets. Our main objective is to introduce Bipolar Second Degree Perfect Fuzzy Matching for Bipolar Fuzzy Graph based on vertices. Secondly, we proved the necessary conditions under which they are equivalent and also proved that for a particular condition a perfect second-degree fuzzy matching is not a  regular bipolar fuzzy graph.  Next, we discussed about perfect second-degree Fuzzy matching and second degree fuzzy matching number for bipolar fuzzy graph on the cycle.
Behaviour and Profit Analysis of Nidec Manufacturing Plant Using RPGT
Authors: Rajbala, Dr. Deepika Garg
Published: December 2023

In this paper behaviour and profit analysis of Nidec manufacturing plant are evaluated. The Nidec manufacturing plant contains six subsystems. All the subsystems are connected in series. Unit ‘K’ is more sensitive than that of different subunits thus ‘M’ is the standby subunit. A solitary server is available for 24 x 7 hours to repair all type of failures of the subunits. All units have instantly recognizable failure and repair rates in all states. Server while keeping the units K’, ‘L’, ‘M’, ‘N’, ‘O’, and ‘P’ accordingly needs a service treatment which is given in the order server M > unit P > unit O > unit N > unit L > unit K. A state transition diagram is developed using Markov process. The investigation of the system is completed by accepting that failure and reparation rates are considered to be constant. The objective of this paper is to get the significant and key parameters for the behavior and profit analysis of the system using the regenerative point graphical technique (RPGT).
The Use of Social Media and Its Effects on Students' Academic Performance
Authors: Ru Yuan, Hu Yong, Ma Zhaolu, Wang Tong, Syed Ahmed Salman
Published: December 2023

The rapid development of technology, especially social media, has enabled people to live increasingly comfortable, convenient, and uncomplicated lives in the modern era. Numerous individuals now consider social media an indispensable component of their daily lives as its use becomes increasingly widespread. The primary objective of this study is to determine whether or not the use of social media influences students' academic performance. In this study, descriptive analysis was used as the methodology. This study's necessary data was collected using a technique known as "simple random sampling." After collecting the data, they were analyzed with the Statistical Package for the Social Sciences (SPSS), and the resulting frequencies and percentages were displayed in tables. According to the study's findings, students' use of social media has no adverse effect on their overall academic performance. Social media platforms are potent tools that can significantly enhance academic performance. However, students should rely on something other than it as their sole source of information.
Quasi discreteness analysis of a 2-dimensional Heisenberg ferromagnetic spin system with biquadratic interactions
Authors: P. Hema, M. M. Latha
Published: December 2023

The dynamical theory of soliton excitations in two-dimensional ferromagnets is studied by introducing a Hamiltonian that includes biquadratic interaction along with uniaxial anisotropy. To obtain a dynamical equation of motion, we use the Dyson-Maleev transformation and the coherent state ansatz. We obtain a Nonlinear Schrdinger equation by applying the multiple-scale and quasi-discreteness methods. For the more general nonintegrable case, we perform a multiple scale perturbation analysis to determine the discreteness effect on the soliton excitations. Finally, we examine modulational instability (MI) under the influence of small perturbations.
Enhancing Oral Reading Skills to Improve Reading Comprehension
Authors: V. Mainar, Dr. S.V. Karthiga
Published: December 2023

Reading is a pleasurable activity. Reading skills contain several objectives and methods. An overall discussion on the identification of the problems that students may face in their schooling is an important aspect. The main objective of this study is to analyze and process the link between students' reading skills and their potential to make out the texts they read. The steps of using certain methods portrayed by secondary sources in the study based on the proper approaches and individual communication approaches. The process of using the steps of certain methods in this study have been portrayed in a manner that helps the students not only in their academic career but also their daily scheme of communication. The proper advancement of reading skills is the crucial topics of accuracy, reading speed, and other activities. This paper will enlighten the strategies while highlighting oral reading activities.
Impact of Digital Communication in Human Resources: A Comprehensive Review
Authors: Sonam Sachdeva, Dr. Deepti Wadera
Published: December 2023

Modern businesses increasingly recognize the value of digital communication within their HR departments. This study seeks to gain a deeper understanding of how organizations utilize digital communication and its impact. The prevalence of social media in recent years has made it a ubiquitous presence across various digital platforms. Both Indian and international businesses employ digital communication platforms for purposes such as marketing their products, engaging with customers and employees, advertising job openings, and connecting with the public. One notable advantage is its significant simplification of the hiring process for HR managers. Furthermore, digital communication empowers HR departments to monitor employee activities and reinforce the company's brand. This research aims to explore digital communication's role as a medium in HR departments. It underscores the importance of the topic through a review of relevant literature, drawing upon reputable sources like Wiley, Emerald, and Sage to highlight the extensive adoption of digital platforms for internet-based communication. The study also establishes the contextual framework for the use of internet technology in digital HR communication. Notably, it identifies the need for further research due to the rapid advancements in internet technology. This research examines the function of digital communication within HR departments, potentially revealing new dynamics in the determination of formal and informal communication activities within organizations.
A Comparative Study on Wind Power Forecasting Models Based on the Use of LSTM
Authors: Ali Abdulrhman Salihi, Merdin Danismaz
Published: December 2023

In the context of wind power generation's growing significance, this research tackles the critical problem of improving power system stability by reducing peak load and frequency control pressures using sophisticated wind power forecasting methods. Using the rapidly developing area of artificial intelligence and neural networks in particular, the study explores the efficacy of Long Short-Term Memory (LSTM), a recurrent neural network designed for event forecasting in time series data with long intervals and temporal delays. The research presents a novel forecasting model, LSTM that enhances prediction accuracy. This is corroborated by the calculated Root Mean Squared Error (RMSE) of 0.6782 and Mean Absolute Error (MAE) of 0.4614. The sustainability and dependability of wind energy integration into power systems may be enhanced by these findings, which highlight the possibility for more efficient and rapid convergence processes in wind power forecasting.
l-HILBERT MEAN LABELING OF SOME PATH RELATED GRAPHS
Authors: R. Pappathi, M. P. Syed Ali Nisaya
Published: December 2023

Let  be a graph with  vertices and  edges.  The th hilbert number is denoted by  and is defined by   where   A - hilbert mean labeling is an injective function , where that induces a bijection  defined by

for all .  A graph which admits such labeling is called a - hilbert mean graph.  In this paper, a new type of labeling called - hilbert mean labeling is introduced and the path related graphs is studied.

AMS Subject Classification – 05C78
Drug Therapy Evaluation For Patients With Breast Cancer In Private Hospital
Authors: Anandkumar S, Manikandhan C, Sureshkumar P
Published: December 2023

The study aims to evaluate the drug therapy in breast cancer patients in a tertiary care teaching hospital. A prospectiveobservational study was carried out for 6 months among breast cancer inpatients of either sex, with age ≥18 years with or without co-morbidities. Demographics of the patients, co-morbidities, chemotherapeutic drug regimens used, ADRs associated with chemotherapy and severity of pain were recorded. A total of 77 breast cancer cases were collected, among them 75 were females and 2 was male. Nine chemotherapeutic drug regimens (8 drug combinations+1 single drug regimen) were prescribed, out of which the most commonly used chemotherapy single drug regimen was Inj. Docetaxel (47.3%) and combinationregimen was Inj. Cyclophosphamide + Inj. Doxorubicin (30%). Most frequent adverse effects seen in patients receiving chemotherapy was alopecia (96.4%) followed by nausea (85.4%) and vomiting (76.4%). The adjuvant therapy included anti-emetics(5-HT3antagonist), corticosteroids, H2antagonists, antihistamines, andantipyretics.
Formulation and characterization of mouth dissolving films loaded with solid dispersion of griseofulvin
Authors: Ankush Tiwari, Sandeep Jain
Published: December 2023

The main objective of the present work was to formulate mouth dissolving films containing griesofulvin solid dispersion to attain its maximum drug release with a very short time and also to have an easy and compliant administration of the drug through oral route. β-cyclodextrin was used to prepare solid dispersion in the ratio 1:1 for drug and polymer by solvent evaporation method. The solid dispersion was obtained in yield of approximately 96% suggesting completion recovery of the dissolved material. Pure griseofulvin was found to exhibit a solubility of 62.0 µg/mL after 24 hours whereas the solid dispersion exhibited a significant increase in solubility showing a solubility of 570 µg/mL. All the formulated batches exhibited quick drug release, rapid disintegration and optimal mechanical strength. The formulations neither exhibited much loss nor much uptake of moisture as observed from the results of the study. The folding endurance was found to increase with increasing concentration of the plasticizer whereas thickness was found to be related to the amount of the polymer in the formulation.
Applications Of Operations Research in Various Fields
Authors: S. Nirmala, M. Raji
Published: December 2023

Operations research uses techniques from a variety of disciplines, including mathematics, statistics, economics, engineering etc. A mathematical model of the real time problem can be formulated by Operations research techniques. These models help to predict future behaviour of the systems, changes in the system or in the methods of operations. This Paper discusses about the applications of Operations research in different field.
Formulation and evaluation of mucoadhesive microspheres of simvastatin using a 23 full factorial approach
Authors: Chandrabhan Gautam, Bharat Tyagi
Published: December 2023

The objective of the current investigation was to optimize and formulate mucoadhesive microspheres loaded with simvastatin utilizing guar gum as the mucoadhesive polymer and stabilizing the particles with magnesium stearate so that the formulation could control the release of the drug thereby reducing its dosing frequency and improving the bioavailability. The microspheres were prepared using emulsion coacervation method and the micromeritic features were evaluated. The yield of all the batches of microspheres was found to be reasonably good ranging from 52.96 % to 75.48 %. The drug loading was found to be 70.46 ± 0.130 to 74.63 ± 0.535 % while the size of microspheres ranged from 13.34 ± 0.092 µm to 17.73 ± 0.217 µm. Swelling study was performed on all the formulation for 24 h and swelling index ranged from 2.95 to 4.27.  The particles size of the formulation was found to be 14.04 µm with polydispersity index of 0.701. The mucoadhesion time of the formulation was obtained to be 6 h 19 min.  The in vitro release of simvastatin was studied for 12 h and it was found that the microsphere formulation was able to sustain the release of the drug for more than 12 h with 73.2 % drug released at the end of the 12th hour.
Formulation and evaluation of solid lipid nanoparticles of naringin to enhance its bioavailability
Authors: Vishal Tiwari, Sandeep Jain
Published: December 2023

The objective of the present work was to formulate solid lipid nanoparticles loaded with naringin for improving the bioavailability of naringin. The SLNs loaded with naringin were prepared by using different ratio of palmitic and stearic acid as the lipids and Tween 80 as the surfactant. The method nanoprecipitation was used for preparation of the SLNs. The surfactant (Tween 80) helps in steric stabilization of the SLNs. The size range of SLNs obtained on sonicating for 7 was found to be 429 ± 76 nm when stearic acid was used and 365 ± 28 nm when palmitic acid was used for the preparation of SLNs. The zeta potential of all the SLNs ranged from -16 to -27 mV suggesting a stable formulation. The percentage of drug incorporated during nanoparticle preparation was determined by centrifuging the drug loaded nanoparticles at 15,000 rpm for 15 min and separating the supernatant. The highest encapsulation of naringin (71.7 ± 8.6 %) was obtained when the concentration of palmitic acid was 0.14 mmol. The in vitro release of naringin from the SLNs was measured by dialysis method using simulated gastric fluid as the dissolution medium. In vitro release kinetics studies for naringin loaded SLNs exhibited a sustained release pattern. Sustained release was observed over a period of 3 days. The stability of NSLN-7 was studied by storing at 4 ± 1 °C for 30 days. The particle size remained stable at the end of the study with drug entrapment of 71.5 %. This suggests that the SLNs prepared are stable on storage.
Formulation and characterization of medicated chewing gum containing zingiberine for treatment of throat infections
Authors: Kuldeep Bairwa, Amit Jain
Published: December 2023

The objective of this work was to formulate zingiberine as medicated chewing gum for improving its bioavailability. The objective was achieved by isolating zingiberine form ginger oil and formulating chewing gum using zein as the gum base by melting method. The formulation of ZCGs was achieved using melting method. Zein was used as the gum base, glycerine as the plasticizer, sucrose and mannitol as the sweeteners and peppermint oil as the flavoring agent. The amount of drug contained in the formulations was uniform in all the formulations and ranged from 94.4 to 96.2%. Release of drug from ZCGs in simulated saliva (pH 6.8 buffer solution) was studied by analyzing the samples at various time intervals up to 30 min. The drug release from the formulations was found to be in the range of 74.28 to 91.66 % in 30 min. Increasing the concentration of the gum base (zein) in the formulations led to a decrease in the release of the drug. The highest percentage of zingiberene was found to be released form ZCG1 after 30 min. Hence it could be considered the best formulation of all.
A Review on Text Summarization to Develop a Live Sports Match Journalism System Using NLP
Authors: Kaustav Sanyal, Vinay Tiwari, Mohammad Saad, Shankar Nag
Published: December 2023

The review paper details the process of converting live speech commentary into text and subsequently generating a text summary from this transcription. Natural Language Processing (NLP) serves as the most suitable technique for this task. Sporting events attract widespread global attention, with many individuals preferring news articles over live experiences. Consequently, there's a pressing need for rapid news production following the conclusion of any sporting event. Due to constraints such as time and budget, comprehensive reporting by commentators or journalists becomes impractical. Therefore, this project holds significant promise and effectiveness. The primary aim is to automate the creation of text summaries from live sports commentary. To achieve this, a system has been devised to generate summaries from live game commentary, an area that has seen minimal focus in current research. An audio recognition system will process provided audio data, transforming it into a lengthy text format. Subsequently, a text-summarising technique will condense this transformed text into a summary.
Real-Time Posture Estimation-Based Human Fall Detection System
Authors: Bharti Sahu, Shreya Pawar, Mansi Chaudhari, Vaishnavi Kalal
Published: December 2023

Special attention should be given to those in vulnerable age groups, such as children and the elderly, who live in solitary living arrangements and have an increased likelihood of experiencing falls. The primary objective of a fall detector is to minimize the duration of time an elderly person remains on the ground subsequent to experiencing a fall event. The length of time that an individual remains on the floor subsequent to a fall is a determining factor in assessing the severity of the incident. The act of engaging in prolonged deceit has been shown to elevate the likelihood of experiencing adverse health outcomes such as hypothermia, dehydration, and pressure ulcers. The ultimate objective of the detector system is to identify the occurrence of a fall and expeditiously notify a carer. The potential for individuals to inadvertently trigger a fall detector by engaging in rapid movements such as standing up and sitting down underscores the need for a dependable detector that can effectively differentiate between instances of falling and other related occurrences. The primary aim of this research is to enhance the understanding of fall-related mechanisms among medical technologists in the field of public health. The assessment of an individual's physique alteration potential relies on the calculation of the ratio between their height and width. To validate a human fall, it is necessary to measure the height and centre of the rectangle that encloses the individual, and thereafter compare these measurements to a specified threshold. An alert system has been developed to notify persons who are connected to the network in the event of a catastrophe, provided that a state of inactivity is maintained for 100 consecutive frames.
Legal Implications of Space Debris Mitigation and Removal Strategies
Authors: Dr. Shashank Shekhar, Priyank Kumar Verma
Published: December 2023

Space debris poses a serious threat to existing space exploration, prompting an in-depth exploration of its legal implications and mitigation strategies. This research paper delves into the multifaceted realm of space debris, consisting of its definition, sources, and statistical overview. It examines the international and Indian legal frameworks regulating space debris mitigation, focusing challenges in implementation and compliance. Space debris mitigation strategies, including passive disposal and collision avoidance, are assessed alongside active debris removal technologies. The paper examines the challenges in attribution and accountability, highlighting the role of insurance and compensation mechanisms in mitigating liability. It underscores the environmental impact of space debris, emphasizing the need for international cooperation in crafting unified strategies. The study culminates in recommendations for future perspectives, advocating for enhanced legal frameworks, technological advancements, and global collaboration to safeguard space sustainability.
Revitalizing India's Education System: A Pathway to National Development An-Overview
Authors: S. Bhargavi, Ramesh B. T., V. Nimish Bhasu Abhinav, Praveen Kumar Sinha,
Published: December 2023

The Indian education system is a complex and diverse system that has evolved over the centuries, with influences from different civilizations, religions, and cultures. The Indian education system has made significant progress in expanding access and improving the quality of education, it still faces several challenges.In recent years; the government has introduced several initiatives to address these challenges, such as the National Education Policy 2020, which aims to make education more inclusive, accessible, and effective. Despite the challenges, the Indian education system has produced several world-class scholars, scientists, and leaders, and remains a critical component of India's economic and social development. In this paper an overview of the Indian education system, its merits, de merits, National Education Policy 2020 and few recommendations are discussed that may be useful to the intellectual community and educators at different levels.
Effect of Sulphate Attack on Self Compacting Concrete
Authors: M. Uday Bhaskar Ipsita Bose Roy Choudhury,
Published: December 2023

Many current structures are characterized by the complexity of architecture (various shapes and bends) and a high concentration of reinforcement which often makes it difficult to use concrete with conventional plasticity. Recent researches have been conducted in order to adopt concrete to these structures. The resulting concrete formulations are characterized by better workability, while remaining stable with mechanical properties and durability. This new type of concrete can fit in place under the influence of gravity, hence the term self compacting concrete “SCC”.

The external attack of sulphate salts is considered as one of the major problems affecting concrete durability. Sulphates are highly soluble salts in the form of sodium sulphate, calcium sulphate, potassium sulphate, and magnesium sulphate. Sulphate attack is a process in which sulphates react with various phases of hydrated cement paste leading to deterioration of the concrete matrix through spalling, softening, and mass loss, which may lead to expansion and loose strength and elasticity. It is recognized as a complex process due to the effect of The aim of this study to demonstrate the change in strength in SCC when the cement is replaced with lime powder and to determine the sulphate attack on the self compacting concrete.

Compressive strength characteristics for 7days and 28days of the self compacting concrete are determined in which cement is partially replaced with lime powder (0%, 10%, 20%, 30%, 40%) and cured in the sodium sulphate solution.

To attain the planned objectives of the present investigation, M20 grade self compacting concrete is taken and values of cement replaced with  limestone at the percentages of 0%,10%,20%,30% were considered. The total of 48 cubes,48 cylinders were casted.24 cubes and 24 cylinders are cured in normal water and 24 cubes and 24 cylinders are cured in sodium sulphate solution. and determined the compressive strength and split tensile strength  values. The developments of compressive and tensile strengths of self compacting concrete at the age of 7and 28 days are investigated. Under the influence of external sulphate attack. The parameters comparing the SCC with normal concrete are increased at the 20% of lime powder replacement after that the parameters decreases gradually.
A Study to Explore the Perception of Companies to Invest on Training of their Employees in India
Authors: P. Ambika, S. P. Manicka Vasugi J. Aldrin,
Published: December 2023

This research intends to investigate how Indian-based businesses view their investment in staff training. Investing in staff development has become crucial for organisations to stay competitive and react to changing industry trends in today's dynamic business environment. However, investing in training programmes requires large financial outlays, and the choice is impacted by a number of internal and external variables. This study was carried out using a mixed-methods technique. The quantitative phase includes a survey that was given out to a broad sample of businesses from all sizes and sectors in different parts of India. The survey's questionnaire was designed to evaluate organisations' present training practises, training budget allocations, perceived advantages, and challenges in offering complete staff development possibilities. Key stakeholders were interviewed in-depth throughout the qualitative phase, including HR managers, trainers, and senior executives from particular organisations. These interviews provide insightful information on how decisions are made, how to overcome obstacles, and how long-term business plans for workforce development. The study's findings provide insight into how businesses view investing in employee training as an investment in human capital. The study identifies the variables that affect how much money is allocated to training initiatives, including perceived ROI, strategic objective alignment, legal requirements, and the competitive advantages that come from having a skilled and knowledgeable workforce. The study also investigates how the fast evolving technology environment affects business training practises. It also explores how government programmes and policies affect whether or not money is spent on employee training. This discovery has important ramifications for both academics and business. It adds to the body of knowledge in the academic fields of organisational behaviour, human resource management, and strategic management by giving a thorough grasp of the factors that influence training investment decisions.
Investigating the Role of Online Communities in Promoting Collaborative Learning and Peer Interaction
Authors: Mohamad Ahmad Saleem Khasawneh Mohammad Abedrabbu Alkhawaldeh,
Published: December 2023

The objective of this research is to investigate the correlation between the level of contentment that students experience in their social interactions with peers and their personal evaluations of academic achievements. Additionally, this study aims to analyze the influence of students' involvement in virtual communities on the effectiveness of their collaborative assignments. The data were collected through surveys administered to a subset of the population that was deemed statistically significant. The statistical analysis involved the utilization of both descriptive and inferential methods. The results indicate a positive association between engagement in virtual communities and effective collaboration. A noteworthy correlation was observed between the perceived level of learning among students and their satisfaction with the degree of participation exhibited by their peers during classroom discussions. The findings of this study enhance the existing knowledge by providing distinct empirical evidence specific to the context of Saudi Arabia. The significance of peer relationships is emphasized, and the promotion of collaborative learning through participation in online communities is underscored. The study's findings offer insights for individuals involved in promoting online community-based peer learning and engagement, including educators, politicians, and academics. Further research could be carried out in the future to investigate the mechanisms that support collaborative learning and peer interaction.
Investigating the Socioeconomic Factors Influencing Access and Equity in Online Learning
Authors: Mohamad Ahmad Saleem Khasawneh Shatha Abdulbaki Al- Ajeely, Mohammad Abedrabbu Alkhawaldeh,
Published: December 2023

The present study examines the impact of socioeconomic status on the accessibility and engagement in web-based learning. The study employed quantitative methodologies to gather data from a representative cohort and subsequently subjected it to analysis utilizing both descriptive and inferential statistical techniques. The findings contribute to the existing literature by providing further insight into the intricate correlation between socioeconomic status and access to online educational resources, equity, and engagement. The results indicate that online learning opportunities are distributed relatively evenly irrespective of an individual's gender. Notwithstanding, there could potentially exist variations between genders with regards to their level of involvement and their subjective evaluations of complexity. The imperative to redress educational and digital disparities in order to ensure equitable opportunities for individuals with lower levels of education and income is emphasized by the correlation between higher levels of education and income and increased availability of online learning resources. The findings of the study indicate a positive correlation between socioeconomic factors and engagement in the learning process, implying that individuals with greater advantages in these domains exhibit a higher propensity to actively engage in online education. The study underscores the necessity of implementing targeted measures and strategies aimed at bridging the digital divide and promoting fair and impartial entry to and engagement in internet-based education.
Enhancing Water Body Identification in Satellite Images through Comparative Analysis of Canny Edge Detection and Scale-Invariant Feature Transform Algorithms
Authors: Suhail Ahamed. T, Anitha G
Published: December 2023

Aim: The objective of this research is to utilize the Innovative Canny Edge Detection algorithm to precisely identify water bodies in satellite images acquired from the Water Access program. Subsequently, the performance of this approach will be evaluated by comparing it with the SIFT algorithm. The primary objective of this analysis is to contribute to the equilibrium of the water ecosystem. Materials and Methods: Within this study, two distinct groups were compared: the Innovative Canny Edge Detection algorithm (CED) (N=10) and the scale invariant feature transform algorithm (SIFT) (N=10). The total sample size was determined with the help of (g) power technology, considering an alpha of 0.05, an enrollment ratio of 1, a 93% confidence interval, and a power of 80%. Results: The Innovative Canny edge detection algorithm exhibited a noteworthy detection rate, achieving an accuracy of 85% compared to the SIFT algorithm's accuracy of 82%. The achieved results were devoid of errors, as indicated by the accuracy of the significance value (0.0001), substantiated by an 80% pre-test power in SPSS Statistical analysis. A significant statistical distinction between the two algorithms was observed. Conclusion: The Innovative Canny Edge Detection algorithm outperforms the SIFT algorithm with statistical significance.
Applying The Blended Learning Teaching Model to Develop Self-Learning Capabilities for Students
Authors: Tran Ngoc Dung Ta Thi Kim Tuyen,
Published: December 2023

The Industrial Revolution 4.0 presents both opportunities and essential requirements for the development of Education 4.0. Accordingly, education becomes an ecosystem where individuals can learn together anytime, anywhere using connected devices. Educational institutions transform into an ecosystem that fosters individualized, innovative products with knowledge and capacity for personal innovation and creativity. This article presents the results of developing self-learning capabilities for students with the support of the Blended Learning model. The research outcomes were achieved through the design of a teaching website, proposing processes and measures to enhance self-learning capabilities in general physics for engineering students. Experimental results demonstrate that the Blended Learning model in physics education has effectively leveraged its advantages, contributing to the improvement of the quality of general physics teaching.
Distribution and Genesis of Wetlands in Nagaon District, Assam: A Geomorphological Perspective
Authors: Pulin Ch. Borah Nabajyoti Nath,
Published: December 2023

Assam is endowed with a large number of wetlands of different kinds. The number and areas of wetlands are variously distributed over the state. Assam has a total wetlands area of 1012 sq.kms with 3514 wetlands representing the highest area under wetlands among the North Eastern states.  More than 80 percent of the wetlands falls in Assam regions, which suggest that majority of the regions wetlands originates in the fluvial domain of the Brahmaputra River system. Wetland distribution in district level reveals that Nagaon District has the highest number of wetlands among all the districts of the state. Depending on their locational characteristics, the wetlands are prone to various kinds of geo-environmental problems. Therefore, with growing need of wetlands management, it has become highly imperative to study genesis and development of wetlands.
Exploring The Beauty of Fibonacci Sequence: Patterns and Applications in Nature and Mathematics
Authors: Manoj Kumar Nahlia Ashesh Kumar Jharwal, Ajay Aaseri,
Published: December 2023

There are instances of the Fibonacci arrangement and the "Brilliant Proportion" in both the normal world and in craftsmanship. Many items in nature appear to follow the Fibonacci arrangement. Fanning in trees, phyllotaxis (the game plan of leaves on a stem), pineapple organic product sprouts, artichoke blooming, an uncurling greenery, and the course of action of a pine cone's bracts are instances of this peculiarity in the regular world. Fibonacci numbers are currently assuming a pivotal part in the field of coding hypothesis. Many kinds of safety coding utilize Fibonacci numbers. The Fibonacci sequence, named after the Italian mathematician Leonardo of Pisa, is a fascinating mathematical oddity with fascinating features and several real-world applications. The irrational golden ratio is often used in the arts, architecture, and design due to its innate beauty. Besides its obvious use in computing, the sequence has been put to good use in finance, biology, and music. The widespread use of this ageless mathematical concept in fields as diverse as computer technology, art, and the natural sciences is a testament to its importance and adaptability.
Application of Walsh System in Data Encryption
Authors: Episkoposian Sergo A.
Published: December 2023

This article explores the application of the Walsh system in modern data encryption methods. The advantages and limitations of this system are reviewed and its effectiveness is analyzed in comparison to other encryption schemes. The article describes the mathematical basis of the Walsh transform, its use for encryption and decryption, and its practical applications. In conclusion, prospects for further research in this area are considered.