bluuebunny/crossref_metadata_2025 huggingface dataset:
Percepciones del sector empresarial privado en cuanto a las habilidades duras y blandas en los profesionales de la carrera de Administración de Empresas
Authors: Ruiz Andia Rodrigo , Fernández Daza Virginia Mercedes , Rojas Ortuño Liziel Karin , Patón Siles Bryan Javier , Fernández Castillo Alejandro , Rocha Colmena Rene , Sanabria Butron Rodrigo , Quispe Rojas Brady Wladyslaw
Published: May 2024

La investigación ha permitido obtener una idea cabal de las habilidades blandas, habilidades duras y el desempeño de los profesionales en la carrera de Administración de Empresas, además de hacer una clasificación de las sugerencias que hacen los empresarios para lograr una mejora de la carrera y una identificación de las fortalezas actuales que identifican a los titulados de la carrera de Administración de Empresas. Lo más destacado en cuanto a habilidades blandas fueron el liderazgo, la proactividad y la creatividad, destacándose además como la más requerida, el trabajo en equipo. Por otra parte, en cuanto a habilidades duras, los empresarios identificaron a la experiencia, como la más requerida, en cuanto al desempeño es importante destacar que los profesionales mejor calificados han sido los de la Universidad Privada Boliviana, en segundo lugar, la Universidad Católica Boliviana y en tercer lugar la Universidad Privada del Valle.
También es importante recalcar que los empresarios afirman que, si las carreras insertan especializaciones, cursos extras, mejor proceso de selección de personal y actualizaciones periódicas al pensum de la carrera, se podrían tener mejoras sustanciales en las habilidades y desempeño de los Administradores de Empresas.
Assessment Of the Factors that Limit Rabbit Production Under an Intensive Production System in Zanzibar
Authors: R. R. Juma , M. D. Varisanga , A. A. Gimbi
Published: May 2024

A study was conducted to assess the factors that limit rabbit production under an intensive production system in Zanzibar. A total of 390 farmers from three districts each has 130 respondents were interviewed in a cross-sectional survey. The results revealed that 48.2% of farmers had kept rabbits and 51.8% did not, while 53.2% of the farmers kept medium breeds and 46.8% of them kept small breeds of rabbits. In terms of management systems was significant (ρ≤ 0.038) in the feeding system was 60.2% of farmers used an intensive system and 39.8% employed semi-intensive systems, whereas a higher number of farmers 88.6% of main diets fed the rabbits with green grass than 11.4% utilized kitchen wastes. In the observed marketing of rabbits and their products, the proportion of respondents who had sold rabbit parts was significantly higher (ρ≤ 0.007), that is 73.0% had sold rabbits than 27.0% who did not sell any rabbit parts. However, it was not statistically significant concerning the types of rabbit products sold and marketing challenges at ρ≤ 0.836 and ρ≤ 0.475 respectively. The disease infection was reported by 58.9% of farmers their rabbits were affected by the disease and 41.1% of them did not. However, no statistical significance was associated with the causes of disease infection at ρ≤ 0.299. Likewise, rabbit production in Zanzibar is at an immaturity stage and is constrained with many drawbacks. Therefore, proper animal husbandry practices and extension service delivery are recommended.
CMM-based Lean Implementation Measurement Framework for Effective and Sustainable Mining Operations
Authors: K Harkawat Praveen
Published: May 2024

Mining industry forms the backbone of a nation’s economy. It contributes significantly towards growth of a nation. With continuous increase in demand for mineral resources, the mining industry is expected to witness a decent growth in the coming years. This growth brings many more challenges for the industry. In an industry where safety, efficiency and productivity are crucial to profitability, even small incremental changes in system / process and framework can make a big impact. There are many improvement frameworks implemented by manufacturing industries to enhance effectiveness and efficiency. Lean is one of the most widely used framework by organizations across the globe which has helped industries in improvement of processes and systems. Lean provides a major opportunity to address some of the mining industry’s greatest challenges. In Mining, lean can dramatically improve performance across all functions. This paper explores the possibility of use of lean in mining for efficient and sustainable operations and propose a framework for measurement of level of lean implementation for better planning, monitoring and tracking. The proposed measurement framework will be based on the existing Capability Maturity Models (CMM) used software industries.
Migration and differentiation of muscle stem cells are coupled by RhoA signalling during regeneration
Authors: Knight Robert
Published: May 2024

Skeletal muscle is highly regenerative and is mediated by a population of migratory adult muscle stem cells (muSCs). Effective muscle regeneration requires a spatio-temporally regulated response of the muSC population to generate sufficient muscle progenitor cells that then differentiate at the appropriate time. The relationship between muSC migration and cell fate is poorly understood and it is not clear how forces experienced by migrating cells affect cell behaviour. We have used zebrafish to understand the relationship between muSC cell adhesion, behaviour and fate in vivo. Imaging of pax7-expressing muSCs as they respond to focal injuries in trunk muscle reveals that they migrate by protrusive-based means. By carefully characterizing their behaviour in response to injury we find that they employ an adhesion-dependent mode of migration that is regulated by the RhoA kinase ROCK. Impaired ROCK activity results in reduced expression of cell cycle genes and increased differentiation in regenerating muscle. This correlates with changes to focal adhesion dynamics and migration, revealing that ROCK inhibition alters the interaction of muSCs to their local environment. We propose that muSC migration and differentiation are coupled processes that respond to changes in force from the environment mediated by RhoA signalling.
An update on an energy-based multiscale modelling framework for physiology.
Authors: Hunter Peter
Published: May 2024

Bond graphs provide a useful level of abstraction for modelling protein function for a wide range of physiological processes, such as metabolic reactions, membrane transporters, ion channels, myofilament mechanics, receptors and signalling, etc. In this talk I will show how bond graph templates (that conserve mass, charge and energy, respectively) are developed for enzyme-catalysed metabolic reactions, the sodium-potassium ATPase pump, and some of the members of the SLC transporter superfamily (including glucose transport, glutamate transport, sodium-calcium exchange, and sodium-hydrogen exchange). These can be parameterised for a specific cell and tissue type for which the experimental kinetic data is available. I will also show how analytic expressions can be derived for a representative four- or six-state model, given reasonable assumptions associated with steady state flux conditions, while always preserving thermodynamic consistency. Finally, based on work with Weiwei Ai and David Nickerson (Andre), I will present details on fitting parameters for the glucose transporters to experimental data and show how well the steady state flux expressions match the full kinetic analysis.
Exit tax adoption to protect Indonesia’s tax base
Authors: Fachrizal Septian , Hanum Iva Unnaiza
Published: May 2024

The mobility of individuals, assets, and businesses across international borders is common. This dynamic shift in residency and business structure can lead to significant capital gains, posing tax revenue challenges for nations like Indonesia. The departure of High Net Worth Individuals (HNWI) has brought this issue to the forefront. To address revenue loss due to tax avoidance of that mobility, many countries have adopted exit taxes or exit charges. These measures impose income tax when individuals or businesses change tax residency or transfer assets across borders. This paper conducts a qualitative analysis to explore the adoption of exit taxes in Indonesia, offering policy recommendations to integrate exit taxes into Indonesia's existing tax framework. This paper discusses the idea of exit charge adoption in Indonesia through a qualitative analysis by reference to a comparative study of tax law in various jurisdictions. The study shows that the exit charge adoption is feasible to undertake, considering the existing legal system, Indonesia’s tax regulation, and the simplicity aspect of the taxation system, which Indonesia aims to enhance.
Temporal Forecast of Maize Production in Tanzania: An Autoregressive Integrated Moving Average Approach
Authors: Maiga Yohana
Published: May 2024

This paper aims to model and forecast maize production in Tanzania, emphasizing its crucial contribution to the agricultural sector. Utilizing secondary data on annual maize production in Tanzania from 1961 to 2021, measured in tonnes and sourced from the FAO database, the study employs statistical techniques such as unit root tests, the ARIMA model, and the Ljung-Box test for a comprehensive analysis. The optimal model for forecasting maize production in Tanzania is identified as ARIMA (5,1,5), and the adequacy assessment confirms its effectiveness in predicting maize production values. The ten-year forecast reveals an intermittent pattern, offering valuable insights into anticipated trends. While not explicitly developing an existing theory, this research enhances the understanding of maize production dynamics in Tanzania through the application of advanced statistical methods. Policymakers, agricultural stakeholders, and researchers can leverage these findings to enhance agricultural productivity and food security in Tanzania.
A Framework For Exploring The Integration Of AI And Financial Literacy Toward A Sustainable Financial Ecosystem
Authors: kaur Manpreet , Dhiman Dr. Babli
Published: May 2024

Introduction: The nascent field of artificial intelligence(AI) and sustainability development holds significant implications for financial inclusion and literacy. this study looks at how artificial intelligence might improve financial decision-making, especially for underrepresented groups. Using knowledge from the 2030 Agenda, which covers a wide range of development-related topics, this paper clarifies how AI-powered financial products can help solve complicated problems and give people of all socio-economic backgrounds more power. Objectives: This study the development of decision support systems in the financial industry, stressing the role of AI in optimizing workflows and enhancing results. Based on an analysis of recent literature, this study explores the complex workings of AI-powered financial analysis, highlighting how it can improve the precision, effectiveness, and inclusivity of decision-making. In addition, a theoretical framework that incorporates AI into financial literacy campaigns highlights the technology’s contribution to risk assessment, fraud detection, text analysis, and improved customer services. This approach emphasizes how crucial AI is to increasing financial services accessibility, encouraging sustainability, and encouraging lifelong learning. Method and result: This study deeply analyses the research articles, papers, or conferences to explore education with information technology so that the weaker section of society has access to improve their standard of living. The study highlights the complex interplay between cognitive and non-cognitive components of financial ability. Individuals may make better judgments, comprehend financial concepts, and negotiate complex economic environments by utilizing AI-driven tools and platforms. Personalized recommendations, predictive insights, and customized learning experiences are all provided by AI-driven solutions, which further advance financial inclusion and literacy worldwide.
Improving Teacher Performance and Student Learning Motivation at The Islamic Education Center for Kids through Managerial Principles, Teaching Supervision, and Financial Management
Authors: Abduh Tuasikal Muhammad , Diat Prasojo Lantip , Muhyadi Muhyadi
Published: May 2024

Numerous studies have examined the various factors that influence the effectiveness of student learning, including management principles, learning supervision, school culture, teacher performance, learning motivation, and strategies. The current research aims to enhance student learning at the Islamic Educational Center for Kids (IECFK) by improving management, financing, supervision, teacher performance, and student learning motivation. Cluster random sampling was performed to gather research data, and an electronic questionnaire was sent to 288 IECFK administrators out of a total population of 995 IECFK in Gunungkidul, Yogyakarta. The questionnaire was filled out to collect research data. Partial least squares structural equation modeling (PLS-SEM) was used to analyze the data. The research indicates that managerial principles, teaching supervision, and financing management positively and significantly impact teacher performance and student learning motivation. These findings can be used to assess and enhance the quality of IECFK in Gunungkidul Regency and provide recommendations for improvement. Future research could consider other variables, such as positive peer influence and parental encouragement of learning.
Effect of E-Procurement on the Performance of a Wholesale Pharmacy: A Case of KIPHARMA- Rwanda (2018-2022)
Authors:   University of Kigali, Rwanda, Fiyameta Samson
Published: May 2024

The general objective of this study was to assess the effect of e-procurement on the performance of Kipharma- Rwanda. Especially the study examined the effect of the e-tendering on the performance of KIPHARMA-Rwanda, assessed the effect of e-auction on the performance of KIPHARMA-Rwanda, found out the effects of e-purchasing on the performance of KIPHARMA-Rwanda and found out the effects of e-invoicing on the performance of KIPHARMA-Rwanda. This study refers and uses the theories like Stakeholder Theory and Agency theory. For this study, correlation analysis was used. Both quantitative (questionnaire) and qualitative (interview) research techniques were used by researcher in order to collect data (information) related to the objectives of the study. The entire target population of the study who are supposed to provide the information data related to the objectives of the research study was based on employees of Kipharma-Rwanda who are totalized to 97 employees The researcher has decided to use a census inquiry method instead of sampling due to the relatively small number of individuals in the population. The research relied on questionnaire technique, interview and Documentation technique. Views that were given by the respondents were analyzed through SPSS 23rd version. The R value of 0.922 indicates a strong positive correlation between the predictors (e-invoicing, e-tendering, e-auction, e-purchasing) and the dependent variable. The R Square value of 0.851 signifies that approximately 85.1% of the variability in the performance of KIPHARMA-Rwanda can be explained by the independent variables in the model. For e-tendering (β= 0.297, t = 4.252, p=0.000 < 0.05). Similarly, e-auction shows a positive effect (β= 0.216, t = 3.054, p = 0.003< 0.05). E-purchasing and e-invoicing also have positive effects, contributing to the performance of KIPHARMA-Rwanda, (β= 0.244, t = 2.422, p = 0.018< 0.05) and (β= 0.247, t = 2.530, p = 0.013< 0.05) respectively. These results indicates that the adoption of e-procurement practices, including e-tendering, e-auction, e-purchasing, and e-invoicing, is associated with positive effects on the performance of KIPHARMA-Rwanda. All p-values are statistically significant at p < 0.05, reinforcing the strong relationships. KIPHARMA-Rwanda should focus on enhancing skills related to e-tendering processes, ensuring that all stakeholders are well-equipped to leverage the system effectively. Keywords: E-procurement, E-tendering, E- invoicing, E-purchasing, E-auction and Performance.
Análise comparativa de custos para a implementação de habitações populares em ambiente urbano: um estudo de caso no Município de Querência, Mato Grosso
Authors: Simplício Wanderson de Andrade , Narváez Nathaly Sarasty
Published: May 2024

Este estudo realiza uma análise de viabilidade econômica comparativa entre três métodos construtivos para o projeto de um conjunto de habitações populares em Querência, Mato Grosso. Os métodos avaliados são o Painel Monolítico em EPS, o Light Steel Frame (LSF) e a Estrutura Convencional de Concreto Armado com Fechamento em Alvenaria. A pesquisa busca identificar o método mais economicamente vantajoso, considerando não apenas o custo, mas também o prazo de execução. Além da revisão bibliográfica, o estudo inclui uma análise orçamentária detalhada, levando em conta os desafios específicos da construção em áreas remotas, como a disponibilidade de materiais e a qualificação da mão de obra local. Os resultados indicam que o LSF apresenta o menor custo por metro quadrado e o menor prazo de execução entre os métodos avaliados. Em segundo lugar, o Painel Monolítico em EPS também se destaca em termos de custo e prazo. Por outro lado, a Estrutura Convencional de Concreto Armado com Fechamento em Alvenaria mostrou-se menos viável, com custo mais elevado e prazo de execução mais longo. Esses resultados ressaltam a importância de uma análise criteriosa na escolha do método construtivo, levando em consideração não apenas o aspecto econômico, mas também a eficiência e a sustentabilidade da construção. Ademais, enfatizam a necessidade de adaptação dos métodos construtivos às condições locais, a fim de garantir a viabilidade econômica do projeto. Portanto, conclui-se que o LSF é a alternativa mais vantajosa para projetos de habitação em Querência, Mato Grosso, devido ao seu custo mais baixo e prazo de menor prazo execução em comparação com o Painel Monolítico em EPS e Estrutura Convencional de Concreto Armado com Fechamento em Alvenaria.
Efficacy of Different Treatment Approaches (Insulin and Metformin) in Women with Gestational Diabetes Mellitus (GDM)
Authors:   National Center for Diabetes Research, Tbilisi, Georgia, Asatiani Natalia , Kurashvili R ,   National Center for Diabetes Research, Tbilisi, Georgia, Shelestova E ,   National Center for Diabetes Research, Tbilisi, Georgia
Published: May 2024

Background and Purpose: The pharmacotherapy options in patients with gestational diabetes mellitus (GDM) are insulin or oral antihyperglycemic agents. Insulin is the preferred medication for treating hyperglycemia, but in recent years, metformin has been increasingly used in the treatment of GDM. Aim: The aim is to assess the efficacy of different treatments (insulin and metformin) in women with GDM. Methods: Screening for GDM was performed in 2422 pregnant women and revealed GDM in 119 women [75 g oral glucose tolerance test (OGTT) was performed at 24–28 weeks of gestation]. All patients started treatment at 24–29 weeks of gestation. The patients were divided into two groups (Gr.): Gr. 1 had 68 patients treated with diet and insulin therapy. Gr. 2 had 51 patients treated with diet and metformin. Results: In the 2nd trimester, HbA1c (%) levels for Gr. 1 and Gr. 2 were 6.7 (0.05) and 6.4 (0.6), respectively. By term, HbA1c levels statistically decreased in both groups, but we did not find a statistical difference between the groups. Women from Gr. 2 gained less weight compared to Gr. 1 (1.89 ± 3.88 vs. 4.53 ± 3.67 kg; P = 0.003). In Gr. 1, the percentage of preeclampsia was 2.9%, and in Gr. 2, 3.9% (P = 0.7773, OR – 1.33). We did not find a statistical difference between the groups. The incidence of preterm delivery before 37 weeks of gestation in Gr. 1 was lower than in Gr. 2 (P = 0.7311, OR – 1.33), and we also did not find a statistical difference between the groups. Perinatal mortality was observed in Gr. 1 – 1.4% and in Gr. 2 – 1.9% (P = 0.8402, OR – 1.33). In both groups, we observed a high percentage of cesarean section (Gr. 1 – 32.3% and Gr. 2 – 29.4% (P = 0.7651, OR -1.0909), but we did not find a statistical difference between the groups. In both groups, the percentage of macrosomia was high, despite good glycemic control maintained through pregnancies: 20.0% and 23.0% for Gr. 1 and Gr. 2, respectively (P = 0.9236, OR – 1.0256), and again no statistical difference was found between the groups. Percent of neonatal hypoglycemia was lower in Gr. 2 (1.9%) than in Gr. 1 (4.41%) (P = 0.9236, OR – 1.0256). Percent of respiratory distress syndrome was 2.94% and 3.92% for Gr. 1 and Gr. 2, respectively (P = 0.9694, OR – 0.9893), with no statistical difference between the groups. Conclusion: We did not find differences between patients treated with diet and insulin therapy and patients treated with diet and metformin. The percentage of preeclampsia, preterm delivery, macrosomia, and perinatal death were similar in both groups; only maternal weight gain was lower in the metformin group.
Automated Gesture Recognition Using Zebra Optimization Algorithm with Deep Learning Model for Visually Challenged People
Authors:   Information Technology Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia, Mohammed Mohammed
Published: May 2024

Gesture recognition for visually challenged people plays a vital role in improving their convenience and interaction with digital gadgets and environments. It includes improvement of systems that permit them to relate with digital devices by using hand actions or gestures. To improve user-friendliness, these systems select in-built and effortlessly learnable gestures, often integrating wearable devices prepared with sensors for precise detection. Incorporating auditory or haptic feedback devices offers real-time cues about achievement of familiar gestures. Machine learning (ML) and deep learning (DL) methods are useful tools for accurate gesture detection, with customization choices to accommodate individual preferences. In this view, this article concentrates on design and development of Automated Gesture Recognition using Zebra Optimization Algorithm with Deep Learning (AGR-ZOADL) model for Visually Challenged People. The AGR-ZOADL technique aims to recognize the gestures to aid visually challenged people. In the AGR-ZOADL technique, the primary level of data pre-processing is involved by median filtering (MF). Besides, the AGR-ZOADL technique applies NASNet model to learn complex features from the preprocessed data. To enhance performance of NASNet technique, ZOA based hyperparameter procedure performed. For gesture recognition process, stacked long short term memory (SLSTM) model is applied. The performance validation of AGR-ZOADL technique carried out using a benchmark dataset. The experimental values stated that AGR-ZOADL methodology extents significant performance over other present approaches
EEG-Based Brain-Computer Interfaces Using Gazelle Optimization Algorithm with Deep Learning for Motor-Imagery Classification
Authors:   Department of ECE, Tagore Engineering College, Rathinamangalam, Kelambakkam - Vandalur Rd, Chennai, 600127, India, K. K. ,   J.A.T. Arts, Science and Commerce College (for Women), Malegaon, Dist. Nashik, Maharashtra, India,   Department of ECE, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India,   Department of Computer Science  Technology, Madanapalle Institute of Technology  Science, Madanapalle, Andhra Pradesh, India,   Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala RD Institute of Science and Technology, Chennai, India., Ahmed Abullaıs Nehal , Kalaiarasi K. , Giridhar Koppisetti , Thenappan S.
Published: May 2024

Brain-computer interface (BCI) is a procedure of connecting the central nervous system to the device. In the past few years, BCI was conducted by Electroencephalography (EEG). By linking EEG with other neuro imaging technologies like functional Near Infrared Spectroscopy (fNIRS), promising outcomes were attained. An important stage of BCI is brain state identification from verified signal properties. Classifying EEG signals for motor imagery (MI) is a common use in the BCI system. Motor imagery includes imagining the movement of certain body parts without executing the physical movement. Deep Artificial Neural Network (DNN) obtained unprecedented complex classification outcomes. Such performances were obtained by an effective learning algorithm, improved computation power, restricted or back-fed neuron connection, and valuable activation function. Therefore, this study develops a Gazelle Optimization Algorithm with Deep Learning based Motor-Imagery Classification (GOADL-MIC) technique for EEG-Based BCI. The GOADL-MIC technique aims to exploit hyperparameter-tuned DL model for the recognition and identification of MI signals. To achieve this, the GOADL-MIC model initially undergoes the conversion of one dimensional-EEG signals into 2D time-frequency amplitude one. Besides, the EfficientNet-B3 system is applied for the effectual derivation of feature vector and its hyperparameters can be selected by using GOA. Finally, the classification of MIs takes place using bi-directional long short-term memory (Bi-LSTM). The experimentation result analysis of the GOADL-MIC method is verified utilizing the BCI dataset and the results demonstrate the promising results of the GOADL-MIC algorithm over its counter techniques
Discovering Unknown Non-Consecutive Double Byte Biases in RC4 Stream Cipher Algorithm
Authors:   University Of Anbar, College Of Computer Sciences and Information Technology, Anbar, Ramadi, 31001, IRAQ, Sura Sura ,   University Of Anbar, College Of Computer Sciences and Information Technology, Anbar, Ramadi, 31001, IRAQ,   University Of Anbar, Center for Continuing Education, Anbar, Ramadi, 31001, IRAQ,   University Of Anbar, College Of Islamic Sciences, Anbar, Ramadi, 31001, IRAQ,   University Of Anbar, College Of Computer Sciences and Information Technology, Anbar, Ramadi, 31001, IRAQ,   University Of Anbar, College Of Computer Sciences and Information Technology, Anbar, Ramadi, 31001, IRAQ,   King Abdulaziz University, KAU, Jeddah, 22233, SAUDI ARABIA, .. Rihab , .. AbdulRahman Kareem , Mohammed Nadia , .. Yaqeen , Makki Ali , Emary Ibrahiem El
Published: May 2024

RC4 is one of the most widely used stream cipher algorithms. It is fast, easy and suitable for hardware and software. It is used in various applications, but it has a weakness in the distribution of generated key bytes. The first few bytes of Pseudo-Random Generation Algorithm (PRGA) key stream are biased or attached to some private key bytes and thus the analysis of key stream bytes makes it potential to attack RC4, and there is connection between the key stream bytes that make it weak and breakable by single- and double-byte biases attack. This work shows the analysis of RC4 key stream based on its non-consecutive double byte biases by using newly designed algorithm that calculates the bias in a standard time (seconds). The results are shown that the bias of RC4 keystream is proved and got the same results that were shown in the literature with less time and discover a set of new non-consecutive double byte biases in the positions (i) and (i+n). The analysis of 256 positions is required additional requirements such as supercomputer and the message passing interface environment that are not available in Iraq, therefore; the analysis is done for 32 positions.
Investigating the Smartphone Addiction among Undergraduate Nursing Students
Authors: Aijaza Ali Sunita , Marshall Pamela , Bashir Shahzad
Published: May 2024

In today's digital era, smartphones have become an essential part of our society. However, excessive use of smartphones can have a wide range of consequences and it affects students' physical and mental health. Nursing students should know the appropriate use of smartphones to prevent health complications. Objective: To investigate the prevalence of smartphone addiction among nursing students. Methods: A descriptive cross-sectional study design was utilized in a total of 98 nursing students of Saifee Burhani School of Nursing in Karachi, Pakistan. A convenience sampling technique was used to collect data and a Smartphone Addiction Scale short version (SAS-SV) questionnaire was utilized to collect data related to smartphone usage patterns and addiction levels among nursing students. Results: The study findings revealed that 68 nursing students (69.39%) were addicted to smartphones. Descriptive statistics, ANOVA, and independent t-independent -test were applied by Statistical Package for Social Sciences (SPSS) software version 25.0 for data analysis. Conclusions: The present study revealed that Smartphone addiction was found higher among nursing students.
Early Complications of Endoscopic Third Ventriculostomy in Obstructive Hydrocephalus
Authors: Pathan Sanaullah , Ullah Hameed , Bhand Muzafar Ali , Ali Muhammad Hamid , Aghani Suhail Ahmed , Khimani Vashdev
Published: May 2024

Obstructive hydrocephalus (HCP) occurs when cerebrospinal fluid is blocked leading to the enlargement of ventricular pathways stream resulting into increase pressure within skull. Endoscopic third ventriculostomy (ETV) is considered an effective management strategy for hydrocephalus especially for third/fourth ventricle level. Objective: To study the per-operative and post-operative early complications of endoscopic third ventriculostomy in obstructive hydrocephalus patients.
Methods: This prospective study was conducted at Department of Neurosurgery, Liaquat University Hospital, Hyderabad, from 1st January 2020 to 31st December 2022. One hundred and fifty patients were included. All the cases, were underwent general anesthesia and elective surgery was performed in them. The patients were followed post operatively for 7 days in context to cerebrospinal fluid (CSF) leakage, wound infection, bleeding, seizures as well as meningitis. Results: Seventy six (50.7%) were males and 74 (49.3%) were female. Mean age was 5.5 ± 2.3 years with maximum number of patients (70.7%) were under or equal the age of 5 years. Complications occurred in 18 patients (12%) out of 150 patients. Cerebrospinal fluid leakage was the most common complication occurred in 5 (3.33%) patients, wound infection was seen in 2 (1.3%) patients, meningitis developed in 3 (2%) patients, minor bleeding was seen in 3 (2%) patients, seizures developed in 4 (2.6%) patients, in hospital mortality occurred in 1 (0.66%) patient on 3rd post-operative day. Conclusions: Ventriculostomy appeared to be the better surgical approach for obstructive hydrocephaly management. Minimum numbers of associated complications were observed in present study group.
THE IMPACT OF SOCIAL MEDIA ON CONSUMER BEHAVIOUR
Authors:   LOVELY PROFESSIONAL UNIVERSITY, V, Vishakh
Published: May 2024

This study delves into the intricacies of consumer behaviour within the realm of social media commerce, aiming to uncover the motivations driving purchases and the types of products preferred by consumers in this digital landscape. Through a quantitative research approach, data were collected via surveys distributed to a sample of social media users. Analysis revealed that trust, authenticity, convenience, and social interactions are significant factors influencing consumer decisions to purchase through social media platforms. Additionally, the study identified a diverse range of commodities transacted on these platforms, with lifestyle and fashion-related items being prominent. The emergence of niche markets and influencer marketing strategies further exemplifies the evolving nature of social media-driven commerce. These findings provide valuable insights for businesses and marketers seeking to refine their strategies and capitalize on the opportunities presented by social media commerce. In the digital age, comprehending the motives and preferences of consumers is crucial for achieving success in the fiercely competitive online retail market. Keywords: Social media, Consumer behaviour, Consumer trust, social media advertising, Online brand presence, social media platforms, Consumer preferences.
FINANCIAL STATEMENT ANALYSIS OF IDBI FEDERAL LIFE INSURANCE, NEW DELHI‖
Authors:   SCHOOL OF BUSINESS GALGOTIAS UNIVERSITY, RASHID MOHAMMAD
Published: May 2024

Financial statement analysis provides a comprehensive understanding of IDBI Federal Life Insurance's financial health and operational efficiency for the period 2022-2023. In conjunction with this analysis, an overview of the market size and valuation of the company within the insurance industry is essential for stakeholders to gain a holistic perspective. The insurance industry in India has witnessed significant growth over the past few years, driven by factors such as increasing awareness about financial security, rising disposable income, and favorable regulatory reforms. Within this landscape, IDBI Federal Life Insurance operates as a prominent player, contributing to the overall market size. The market size of the insurance industry encompasses various segments, including life insurance, health insurance, and general insurance. As a life insurance company, IDBI Federal Life Insurance primarily operates within the life insurance segment. The market size of the life insurance sector is influenced by factors such as demographic trends, economic conditions, and regulatory policies. Despite the challenges posed by the COVID-19 pandemic, the life insurance industry in India has demonstrated resilience, with continued growth in premium income and policy sales. IDBI Federal Life Insurance, leveraging its market presence and distribution network, has contributed to the expansion of the overall market size by attracting customers and offering a diverse range of insurance products and services.
A DETAILED STUDY ON OCCUPATIONAL STRESS AMONG EMPLOYEES WITH REFERENCE TO TROJAN HUNT INDIA LLP
Authors:   Galgotias University, KUMARI JYOTI
Published: May 2024

Stress can be defined as a state of worry or mental tension caused by a difficult situation. Stress is a natural human response that prompts us to address challenges and threats in our lives. Everyone experiences stress to some degree. The way we respond to stress, however, makes a big difference to our overall well-being. Job Stress and Health: - Stress sets off an alarm in the brain, which responds by preparing the body for defensive action. The nervous system is aroused and hormones are released to sharpen the senses, quicken the pulse, deepen respiration, and tense the muscles. This response (sometimes called the fight or flight response) is important because it helps us defend against threatening situations. The response is preprogrammed biologically. Everyone responds in much the same way, regardless of whether the stressful situation is at work or home. Short-lived or infrequent episodes of stress pose little risk. But when stressful situations go unresolved, the body is kept in a constant state of activation, which increases the rate of wear and tear to biological systems. Ultimately, fatigue or damage results, and the ability of the body to repair and defend itself can become seriously compromised. As a result, the risk of injury or disease escalates.
Navigating the Digital Frontier: Assessing the Impact of Digital Transformation on Traditional Banking Institutions
Authors:   SCHOOL OF BUSINESS GALGOTIAS UNIVERSITY, BABU SNEHA
Published: May 2024

The digital revolution has reshaped industries, economies, and societies worldwide, ushering in an era of unprecedented transformation. At the forefront of this paradigm shift is the banking industry, a cornerstone of the global economy that has been profoundly impacted by the proliferation of digital technologies. Traditional banking institutions, with their legacy systems and brick-and-mortar branches, are grappling with the imperative to embrace digital transformation to remain competitive and relevant in today's digital age. This introduction sets the stage for examining the impact of digitalization on traditional banks, exploring the drivers, challenges, and opportunities inherent in navigating the digital frontier.
"A Study On Business In Digital Era"
Authors:   GALGOTIAS UNIVERSITY, CHAUHAN PRASHANT
Published: May 2024

Management operates at different levels and so it is possible to apply management information systems at these varied levels. Basic examples of management information systems are human resources management systems, financial management information systems and marketing management information systems. Enterprise IT Systems Enterprise IT systems are technologies designed to integrate and manage entire business processes for large organisations. Typically, enterprise application software is hosted on large servers over a computer network. Transmission of information can either be internal or external. Examples of enterprise information systems may be accounting software, health care specific software or electronic data Interchange (EDI). Another example of software within this category is CRM (Customer relationship management software). Information technology plays various roles in business, and provides a huge range of capabilities that enhance management performance. It is therefore important to understand the four major categories of IT systems and their functions in a business environment.
A Study of Consumer Satisfaction Towards Online Grocery Stores
Authors:   School of Business   Galgotias University, KANT MRINAL
Published: May 2024

In recent years, the popularity of online grocery shopping has had a big impact on consumer behaviour. The purpose of this survey is to find out how satisfied customers are with online grocery stores. It seeks to comprehend the rationale for their adoption of online grocery shopping as well as pinpoint the critical elements impacting their level of happiness. The study looks into a number of factors that make an online grocery buying experience enjoyable. These elements probably consist of: Convenience: It's thought that two of the main factors influencing satisfaction are the simplicity of home delivery and the time-saving aspect of online grocery shopping. Product Selection and Quality: The range and calibre of goods that online grocery retailers provide is likely to have an impact on customers' happiness. Website functionality and user experience: It is anticipated that a user-friendly website with simple product search, checkout, and navigation will play a big role in customer satisfaction. Delivery Accuracy and Efficiency: Proper handling of perishables, precise order fulfilment, and timely delivery are critical factors that affect customer satisfaction. Customer service: A customer's pleasure with online shopping is likely to increase with prompt and friendly customer care.
The impact of e-commerce on traditional retail model in India
Authors:   Galgotias University, Greater Noida, Ranjan Shashank
Published: May 2024

Unquestionably, the explosive growth of e-commerce in India has changed the nation's retail environment. E-commerce platforms provide customers with unmatched ease, a wide range of products, affordable prices, and the flexibility to evaluate possibilities while lounging in their own homes. Due of this, consumer behaviour has changed significantly, and traditional brick and mortar establishments have become less common. This abstract examines the various ways in which India's traditional retail industry has been impacted by the e-commerce revolution. It examines the difficulties traditional stores confront in competing with the online behemoths, including their restricted reach, increased operating expenses, and difficulties. It also looks at the attractive potential that e-commerce offers traditional companies, such growing their clientele, cutting costs, and simplifying processes. The abstract goes into additional detail about the tactics that conventional merchants might use to prosper in this new environment. Success requires embracing omnichannel tactics, establishing a strong online presence, offering a unique in-store experience, and utilizing technology. In the Indian retail sector, the combination of e-commerce and conventional models offers exciting prospects for innovation and customer-centric strategies. This study analyzes how the rise of e-commerce platforms has changed consumer preferences, market trends, and competitive dynamics through a combination of qualitative and quantitative research approaches. Utilizing conceptual models from the literature on technology adoption, marketing, and economics, it pinpoints the main forces and barriers affecting traditional retailers' acceptance of e-commerce and the ensuing restructuring of the retail sector. In-depth reviews of the body of previous research are included in the study, along with original data gathered through surveys, interviews, and case studies. Combining theoretical concepts with empirical data, this thesis offers a thorough understanding of the intricate interactions that exist between online and offline retail channels, highlighting opportunities for cooperation as well as synergies and conflicts.
An Analysis of Artificial Intelligence Adoption in the Human Resource Management
Authors: KUMAR ANURAG
Published: May 2024

The integration of AI into HRM practices will mark a turning point in the history of organizational dynamics, bringing with it improved productivity and fresh perspectives on long-term planning. Because of this integration, many difficult questions and ethical dilemmas emerge. The hazy waters of artificial intelligence (AI) in human resource management are explored in this study, which examines its effects on training, engagement, performance reviews, and recruiting. Examining the AI-HRM nexus, this study draws on recent literature and statistics to highlight key developments, motivating factors, and obstacles. In addition, it explores the ways AI is changing HRM practices, illuminating the potential for innovation as well as concerns about prejudice and privacy invasion. We are examining the openness, responsibility, and fairness of AI-driven HRM systems since ethical concerns are at the heart of this discussion. For companies looking to apply AI to HRM and use an integrated framework, this report provides strategic insights to help them manage the hurdles of AI adoption. Helping companies make the most of technology while protecting and valuing their personnel is the main goal. Keywords: Artificial Intelligence, Human Resource Management, AI Adoption, Recruitment, Talent Management, Employee Engagement, Performance Evaluation, Ethical Implications, Privacy Concerns, Workforce Upskilling.
SERVICE QUALITY MEASUREMENT IN INDIAN HEALTHCARE INDUSTRY
Authors:   SCHOOL OF BUSINESS GALGOTIAS UNIVERSITY, KUMARI SONALI
Published: May 2024

This study investigates the growing impact that internet marketing is having on the healthcare industry in India over the past few years. It examines the various dimensions of internet marketing strategies utilized by healthcare organizations and their impact on key performance indicators such as patient engagement, brand visibility, and revenue generation. This is accomplished by conducting a comprehensive analysis of the existing literature as well as empirical research. Additionally, the study explores the problems and opportunities given by digital marketing in the context of India's diversified healthcare sector. The study takes into consideration a variety of aspects, including regulatory compliance, patient privacy, and technological infrastructure. In order to improve healthcare delivery and accessibility in India, the findings offer useful insights that may be utilized by healthcare practitioners, legislators, and marketers who are interested in utilizing the potential of online marketing. Keywords: Service Quality Measurement, Healthcare Industry, Indian Healthcare, Patient Satisfaction, SERVQUAL, SERVPERF, Patient-Centered Care, Technology Adoption, Regulatory Frameworks, Quality Assurance.
CUSTOMERS OPINION ON E-GROCERY STORES
Authors:   SCHOOL OF BUSINESS, STUDENT OF GALGOTIAS UNIVERSITY, BATOOL FASEHA
Published: May 2024

The study explores consumer perceptions of e-grocery stores in the context of online food purchases, particularly focusing on factors such as pricing, promotions, convenience, product quality, and overall shopping experience. E- commerce platforms like Big Basket utilize advanced technology and marketing tactics to attract and retain customers by offering competitive rates and diverse products, including Indian grocery items. Understanding consumer opinions in this domain is crucial due to the significant role groceries play in households and the potential impact of external variables on consumer behavior. The research aims to unravel the complexities of consumer perceptions to provide insights for practitioners and researchers in the e-commerce sector, informing marketing strategies, enhancing customer satisfaction, and fostering sustainable growth in the e-grocery market.
Investigate How Coco-Cola and Pepsi Built Global Bandwagon effect.
Authors:   Galgotias university, Greater Noida, India, kumar Shivam
Published: May 2024

It is estimated that this coca cola and pepsi drink is served more than one thousand million times in a day. Equally oblivious to the historic value of his actionswas Frank Ix. Robinson, his partner and book keeper. Pemberton & Robinson laid the firstfoundation of this beverage when an average nine drinks per day to begin with, upping volumesas sales grew. In 1894, coca cola and pepsi this beverage got into bottle, courtesy a candy merchant from Mississippi. India‟s per capita consumption of cold drinks of coca cola and pepsi as going by survey results is rock bottom, less than over Neighbors Pakistan & Bangladesh, where it is four times as much. Behind the hype, in an effort invisible to consumer Pepsi pumps in Rs 3000 corers (1994) to add muscle to its infrastructure in bottling and distribution. In coca cola and Pepsi is already market leader and in certain cities like Gorakhpur, Pepsi outlets are on one side & all the other colas put together on the other. While Coca Cola executive scruff at Pepsi‟s claims as well as targets, industry observers are of the view that Pepsi has definitely stolen a march over its competitor Coca Cola. Apart from numbers, coca cola and Pepsi has madequalitative gains. The foremost is its image. This image turnaround is no small achievements,considering that since it was established in 1989,