bluuebunny/crossref_metadata_2025 huggingface dataset:
Knowledge, Attitude and Practice among Nurses Regarding Prevention of Central Line Associated Bloodstream Infection in Tertiary Care Hospital of Peshawar
Authors: Khan Mudassir , Ahmad Imran Waheed , Waheed Mehwish , Tahir Haseena , Hurain Khush , Monica .
Published: May 2024

Healthcare Associated Infections (HAIs), particularly Central Line-Associated Bloodstream Infections (CLABSIs), remain a significant global public health concern. CLABSIs, associated with catheter use, pose critical challenges in critical care and cancer treatment settings, necessitating evidence-based measures for prevention. Objective: To assess the knowledge, attitude and practice of nurses regarding prevention of central line associated bloodstream infection in tertiary care hospital of Peshawar. Methods: This conducted study possessed a cross sectional study design with a random sample of 173 nurses who were presently working or had worked in ICUs of the hospital. Data were collected through a self-administered questionnaire. Data analysis was performed on SPSS version 22.0.  Results: 45% of nurses demonstrated good knowledge with mean score of 12.35 and standard deviation of ± 1.45, positive attitudes were observed in 74% with mean score of 33.7 and standard deviation of ±2.1 and good practices in 80% of participants with mean score of 40.5 and standard deviation of 1.45 observe. Conclusions: This study clearly indicated that majority of the nurses (54.9%) have poor knowledge regarding CLABSI. Despite of the poor knowledge level most nurses (74%) followed standard practice. Interestingly, greater number of nurses (85%) were found to have positive attitude towards CLABSI.
Detection of the chuA gene encoding the invasive enterohemorrhagic species Escherichia coli 0157:H7 using qPCR in horse feces samples on Sumbawa Island, Indonesia
Authors: Kholik Kholik , Sukri Akhmad , Riwu Katty , Kurniawan Shendy , Khairullah Aswin
Published: May 2024

Background:
Bacterial identification can be done using various testing techniques. Molecular techniques are often used to research dangerous diseases, an approach using genetic information on the pathogenic agent. The enterohemorrhagic invasive species Escherichia coli 0157:H7 was identified from the feces of working horses on the island of Sumbawa. Another advance in molecular technology is genome amplification with qPCR which is the gold standard for detecting E. coli.
Aim:
This study aims to detect and identify the invasive species Escherichia coli 0157:H7 using the gene encoding chuA with the qPCR method sourced from horse feces.
Methods:
Fresh fecal samples from horses on Sumbawa Island were isolated and identified, then continued with molecular examination using the gene encoding chuA using the qPCR method.
Results:
qPCR testing in this study showed that 6 sample isolates that were positive for Escherichia coli 0157:H7 were detected for the presence of the chuA gene, which is a gene coding for an invasive species of E. coli bacteria. The highest to lowest Cq values and Tm from the qPCR results of the sample isolates were 15.98 (4KJ), 14.90 (19KG), 14.6 (3KJ), 13.77 (20KG), 12.56 (5KGB), 12.20 (6KJ). Tm values are 86.7 (4KJ), 86.69 (3KJ), 86.56 (5KGB), 85.88 (20KGB), 85.81 (19KG), 85.74 (6KJ).
Conclusion:
Validation, standardization of the development, and modification of qPCR technology must be carried out to harmonize testing throughout to avoid wrong interpretation of the test results so that the determination of actions to eradicate and control diseases originating from animals in the field does not occur.
CT findings of an incidental segmental aplasia of the caudal vena cava with azygos continuation in a guinea pig (Cavia porcellus)
Authors: Costas Anton , Battiato Pierantonio , Magro Carolina , Cervera Vicente
Published: May 2024

Background:
Segmental aplasia of the caudal vena cava with azygos continuation is a congenital malformation macroscopically described in mammals including humans, dogs and rodents. It is usually detected as an incidental finding and the final diagnosis is reached by computed tomography, fluoroscopy or post-mortem dissection.
Case Description:
A 3-year-old guinea pig (Cavia porcellus) presented with subacute dyspnea. A computed tomographic exam was performed for the evaluation of subtle pulmonary changes previously suspected on conventional radiography, and a segmental aplasia of the caudal vena cava with azygos continuation was identified as an incidental finding.
Conclusion:
According to database negative results, this is the first report describing a segmental aplasia of the caudal vena cava and azygos continuation in a guinea pig by computed tomography.
Pharmaceutical activity of sappan wood extract (Caesalpinia sappan L.) for treating Escherichia coli infection in piglets
Authors: Chukiatsiri Kridda , Tippaya Kittiphong , Ngasaman Ruttayaporn
Published: May 2024

Background:
Escherichia coli infection is one of the major diarrheal diseases resulting in the loss of pigs at a young age.
Aim:
This research investigated the antimicrobial activity of Caesalpinia sappan wood extract against E. coli infection as antibiotic replacing.
Methods:
E. coli was culture from diarrheal piglets then used for finding the minimal inhibition concentration (MIC). C. sappan wood extract (500 mg/kg) were used for treatment diarrheal piglets compared to antibiotics (enrofloxacin 5 mg/kg) by oral administration. Another three group of diarrheal piglets were used supplemented feed with 1% and 2% the extract compared with commercial feed. Subsequently, E. coli enumeration, faecal shape, faecal colour and growth rate were recorded from day 1 to 7.
Results:
Based on the results, C. sappan wood extract could inhibit E. coli growth at an MIC of 16–34 mg/mL. The number of colonies did not significantly difference between C. sappan wood extract and enrofloxacin treatment groups. Supplemented feed with 1% and 2% C. sappan wood extract could improve faecal shape and faecal score compared to the control group, albeit only in suckling pigs. There were significant differences from the control group at days 4, 5, 6 and 7 (P < 0.05). However, the average daily gain did not significantly differ among the three groups.
Conclusion:
The results indicate that C. sappan wood extract could improve diarrheal signs in suckling pigs and can be used as a replacement for antibiotics for organic pig production.
CT findings in seven dogs with perforating wooden skewer foreign bodies from the gastrointestinal tract
Authors: Costas Ant , Cervera Vicente
Published: May 2024

Background:
Perforating foreign bodies from the gastrointestinal tract, such as wooden skewers, are reported in the small animal literature producing inflammatory/infectious lesions in the thorax, abdomen, and musculoskeletal system, which can be life-threatening in some instances. Several imaging modalities have been used, and advanced imaging techniques have shown great advantage on its diagnosis and pre-surgical planning.
Aim:
The objective of this study is to describe the computed tomographic findings in a group of seven medium to large breed dogs with perforating wooden skewers foreign bodies migrated from the gastrointestinal tract.
Methods:
Medical records database was searched for dogs with a suspected diagnosis of a perforating wooden foreign body migrated from the gastrointestinal tract in which a computed tomographic study was performed. Signalment, history and clinicopathological findings (when available) were retrieved, and the computed tomographic studies were reviewed.
Results:
Clinical signs varied depending on the anatomical regions affected through the perforating pathway. All foreign bodies were identified and showed a median attenuation of 79 HU, with the most common localization being the stomach followed by the jejunum. Peritoneal fat stranding surrounding the perforation site was the most frequent computed tomographic finding. Presence of peritoneal free fluid and/or gas was uncommon. Pleural effusion, pulmonary perforation and pneumothorax were present in most of the cases with the foreign body traversing the pleural space. Pulmonary cavitary lesions were always reported when the ending tip of the wooden skewer was within the pulmonary parenchyma. Soft tissue abscessation was recognised in all cases where the ending tip was lodged in muscular or subcutaneous tissues.
Conclusion:
Findings supported the variability of the secondary lesions caused by this type of foreign body and the utility of computed tomography in their recognition, as well in the identification of the wooden skewer.
Evaluation of recombinant human erythropoietin as promoter of bone healing in cats with femoral fractures
Authors: Vasileva Radina , Chaprazov Tsvetan
Published: May 2024

Background:
The bone regeneration potential of erythropoietin (EPO) is not yet fully investigated, but some previous experimental studies demonstrated that its application activated the differentiation of osteoblasts and promoted bone formation.
Aim:
The aim of the present study was to evaluate the effects of recombinant human erythropoietin (rhEpo) on bone healing in cats with fragmented long bone fractures.
Methods:
Twelve cats were divided into two groups – control (n=6) in which physiological saline was applied at the fracture gap site and EPO (n=6) with application of 1,000 IU rhEpo. The effects of EPO on blood erythrocyte counts, haemoglobin content and haematocrit were monitored by serial complete blood cell tests, whereas bone formation was evaluated by clinical and radiographic examinations on post operative weeks 1, 2, 3, 4, 6, and 8.
Results:
All tested blood parameters were within the reference range. A faster fracture healing and full limb weight-bearing were observed in the EPO-group, with statistically significant differences with respect to the control group.
Conclusion:
The obtained results confirmed that the local application of rhEpo promoted bone healing in cats with fragmented femoral fractures and increased bone callus strength without having significant systemic effects.
Mapping coral reef habitats of Apo Reef Natural Park, Sablayan, Occidental Mindoro, Philippines
Authors: Bacabac Marion Michael , Ticzon Victor , Fetil Jesus Gabriel , Villanada Krystal Dayne
Published: May 2024

Limited spatial information on Philippine oceanic coral reef resources poses a challenge to conservation and management. In the face of an increased occurrence of natural disturbances, repetitive, broad-scale spatial information is critical in determining large-scale patterns that help managers resolve the potential trajectory of the coral reef ecosystems, elucidating whether it will recover or continue to decline. In this study, we provide a decent habitat map of Apo Reef Natural Park using freely available Sentinel-2 data using the Google Earth Engine (GEE) cloud computing platform. Through the use of training and validation data, we implemented supervised classification via the classification and regression trees (CART) algorithm. The results successfully delineated four major habitat classes across ARNP with an acceptable level of accuracy (58.8%). These habitat classes are: Mixed Live Coral and DCA habitat, DCA habitat, Mixed Rubble and DCA habitat, and Sand habitat. In total, we mapped over 6,000 hectares of shallow subtidal habitats across a 27,000-hectare protected area. Among the classes, sand-dominated habitats had the largest coverage in the shallow subtidal section of the reef complex. The total hard coralline substrate was estimated to cover over 3,800 hectares. The impact of consecutive, high-intensity disturbances that hit ARNP resulted in the predominance of algae-covered habitat types, which in turn resulted in relatively high classification errors of DCA habitats, and Mixed Live Coral and DCA habitats. It is expected that as the reef recovers, accuracy in discerning these habitat types will eventually increase. The study shows the utility of the GEE platform in conducting low-cost, broad-scale monitoring of oceanic reef complexes at a resolution that is acceptable for management purposes.
Neuromuscular compatibility and its relationship to the speed of skill performance among Abbasiya Youth Forum football players
Authors: Ali Hamid Abadi  , Ahmed Abdel Moneim Hasnawi
Published: May 2024

ان اداء الحركه يتطلب درجة من التوافق ما بين الجهازين  العصبي والعضلي وتبرز اهمية التوافق العصبي العضلي بجمالية الأداء في  لعبة كرة القدم وهذا ِيأتي من خلال إتقان المهارات الأساسية لها فضلا عن تكامل الأداء البدني وهذا بدوره يؤدي إلى اتقان الاداء المهاري وتسجيل الأهداف وهو غاية هذه اللعبة والتي يسعى اللاعبون إلى الوصول إليها . ومن خلال كون الباحثان  مهتمين  بهذه اللعبة لاعبين ومتابعون لمبارياتها لاحظو هناك خلل وضعف واضح  في سرعة الاداء المهاري وخاصا  عندما يؤدي  اللاعبون مواقف متعددة للعب داخل أرضية الملعب والتي تتطلب الدمج بين مهارتين  أو استخدام التوافق بين العينين والقدمين أو العينين وباقي أجزاء الجسم والتي تعد مطلبا أساسيا لتكامل الأداء الفني اما هدف  البحث هوالتعرف على العلاقة بين التوافق العضلي  العصبي وسرعة الاداء المهاري لدى لاعبي منتدى شباب العباسية بكرة القدم  . اما فرض البحث وجود وجود علاقة ارتباط معنوية بين التوافق العضلي العصبي وسرعة الاداء المهاري  لدى لاعبي منتدى شباب العباسية بكرة القدم وقد تم استخدام المنهج الوصفي وذلك لملائمته وطبيعة ومشكلة البحث وتكونت عينة البحث من (18) لاعبا من منتدى شباب العباسية  وتم اخيارهم بطريقة القرعة لتنفيذ المنهج وكانت اهم الاستنتاجات توجد علاقة ارتباط معنوية بين التوافق العضلي العصبي وسرعة الاداء المهاري لدى لاعبي منتدى شباب العباسية بكرة القدم  واما اهم التوصيات التأكيد على قيام المدربين باختبار فرقهم اختبارات دورية للتوافق وسرعة الاداء المهاري   وكذلك الاهتمام بتطوير التوافق العضلي العصبي لدى لاعبي كرة القدم والتمرينات المستعملة من قبل المدربين  يجب ان تنمي صفة التوافق العضلي العصبي اثناء الاداء.
Öğrenme Güçlüğü Bulunan Bireyler İçin Tasarım odaklı düşünme yaklaşımı ile Endüstriyel Ahşap Materyal Tasarımı ve Uygulaması
Authors: Açık Cebrail
Published: May 2024

Bu çalışmada tasarım odaklı düşünme yaklaşımı ile öğrenme güçlüğü bulunan bireylerin eğitim ortamlarındaki ihtiyaçları incelenmiştir. Bu bireylerin ihtiyaçlarına yönelik soyutsal matematiksel ifadeleri somutsal öğretilere çevirecek bir ders materyali ihtiyaç olarak belirlenmiştir. Sonraki aşamada tasarlanacak ürünün şekli ve amacı üzerine eğitmenlerle fikir çalışması yapılmıştır. Böylece öğrenme güçlüğü yaşayan bireylerin beklentileri ve tasarlanacak mamul ürünün nitelikleri ortaya konulmuştur. Tasarım odaklı düşünme sistematiği izlenerek 5 adımda tasarım gerçekleştirilmiştir. Tasarım detayları gerekli hesapları, deneysel doğrulamayı ve uygun malzeme seçimini, ergonomik, ekolojik, fonksiyonellik unsurlarını kapsamaktadır. Tasarımın teknik değerlendirme sonuncunda en uygun alternatif olarak bilgisayar destekli üretimine karar verilmiştir. Sonuç olarak öğrenme güçlüğü yaşayan bireylerin ihtiyaçlarını karşılayan, ahşap malzemeden CNC lazer teknolojisiyle imal edilmiş, endüstriyel tasarım ve üretim konseptine uyumlu bir ürün ortaya konmuştur.
SOCIAL MEDIA INFLUENCERS ON CONSUMER BEHAVIOUR
Authors:   Galgotias University, Kumar Vikram
Published: May 2024

The think about the complex intuitive that exist between social media influencers and shopper behavior in the present day advanced world, highlighting the imperative part that influencers play in impacting client inclinations, buying choices, and sees of brands. The inquire about looks at how influencers influence buyer conduct utilizing a mixed-methods approach that incorporates studies, interviews, and quantitative examination of social media engagement measurements. It emphasizes relatability, believe, and realness as significant components in building connections between influencers and their adherents. The victory characteristics of influencer showcasing campaigns, moral issues counting straightforwardness and genuineness, the maintainability of influencer showcasing in the confront of changing social media patterns, and the plausibility of influencer weakness are a few of the major subjects that were inspected. This think about includes to the body of information as of now in presence, which makes a difference marketers, businesses, and governments explore the ever-changing world of advanced showcasing in the twenty-first century. Keywords: Influencer weakness, Advanced showcasing, Social media engagement measurements, Influencer promoting campaigns, Buyer behavior, Social media influencers
WHY GOOGLE GLASSES FAILED?
Authors:   SCHOOL OF BUSINESS  GALGOTIAS UNIVERSITY  GREATER NOIDA, GUPTA ARPIT
Published: May 2024

In this research paper we are basically trying to find out why Google Glasses failed as a product in the market. Google Glasses was launched back in 2012 as a product that created a lot of buzz in the market as “Wearable Smart Glasses”. But it never managed to effectively capitalise on the hype that surrounded the product and failed in capturing the market share and did not turn out as a money-making product. On the contrary, Google lost $895 million and incurred heavy losses and ultimately had to give up on the product. It failed to captivate the imagination of the people and people were not really interested in the product. When we dig deeper into the problem, we found several loopholes and flaws in the product, and in the basic business idea on the fundamental level. First of all, the designers of the idea and the product lacked the clarity as to whether the glasses would be considered as a fashionable device or just stand out as a utilitarian product. The problem was also with the price of the product, as this was so expensive that only the rich could afford and hence inaccessible to the masses and a limited target market. The people were also concerned with the privacy aspect as the current generation is quite conscious about their data being recorded and people did not really like this aspect of Google Glasses. People were even concerned with the safety of this product. People were not really great fans of the design of the glasses and generally regarded the product as uncool. Moreover, the grim problem of low battery life on the glasses was another major flaw. Nobody likes it, if they have to charge their product every now and then, it really drops the satisfaction level, and this happened with Google Glasses as well. The design of the glasses was unappealing and the glasses regularly faced heating and language issues. So overall these were the factors we found out that contributed in the product ending up as a huge failure in the market, despite the fact that it had a huge brand value as the likes of Google backing it up.
Nature Inspired Metaheuristic based Optimization
Authors:   Maharaja Agrasen Institute of Technolgy,Delhi, Gautam Raj Kumar
Published: May 2024

This paper is a comprehensive study on nature inspired Hyperparameter optimization, with a distinct focus on Honey Badger Algorithm, along with Aquila Optimizer algorithm. The study involves in-depth analysis of the above algorithms, their weaknesses and strengths and comparing them with the theoretical advantages. The implementation of these algorithms, This paper demonstrate the promise of these algorithms on optimization of Hyperparameters like learning rate, number of hidden layers for our various datasets. The findings of this paper show that HBA and Aquila Optimization algorithms offer potential alternatives to the existing approaches, providing more effective and efficient solutions for hyperparameter optimization. This paper contributes to ongoing discourse on the place of nature inspired algorithms and their place in solutions to unconventional places
A STUDY ON INVESTOR AWARENESS ABOUT INVESTMENT IN MUTUAL FUND WITH REFERENCE TO UTI MUTUAL FUND IN SALEM
Authors:   School of Business, Galgotias University, Greater Noida, India, SINGH ANVESHA
Published: May 2024

Investment is done with the motive of earning a regular return, risk-free and to have a side income over our money. In our country, a number of investment measures can be seen ranging from insurance policies to shares or debentures. The type of investment chosen depends upon the income level of the person and the risk-taking ability of the investor according to its status and earnings. Mutual Funds are an emerging mode of investment with great potential as it’s got diverging investing modes with regular return and minimized risk by their knowledge. But the awareness level it has with respect to the citizens of our country is really low, they still think it’s fraud or a scam but they don’t know it’s safe and it minimize the risk. The vague knowledge on the same has forced many to stay away or even opt out from such mode of investment. This study has been adopted with the aim to study the awareness level mutual funds have among the investing population in India and to suggest better remedies to familiarize them among the population. As the mutual fund invest the money of the investor in different sources and positive trustable resources, they get the overview of the market because they invest somewhat every aspect of the market earning sources.
Practices and Challenges of Recruitment in IT Industry
Authors: Ganguly Dr. Subroto
Published: May 2024

One of the most The purpose of this thesis is to delve into the practices and challenges of recruitment within the IT industry, offering a comprehensive analysis of the strategies employed by recruiters and the obstacles they encounter. By examining the prevailing recruitment landscape, this research seeks to shed light on the complexities of talent acquisition in the IT sector and provide actionable insights for enhancing recruitment effectiveness. The IT industry is characterized by its reliance on highly skilled professionals who possess specialized technical expertise. As such, attracting and retaining talent with the requisite skills and experience is essential for driving innovation, meeting project deadlines, and delivering high-quality products and services. However, the demand for skilled IT professionals often outstrips the available supply, leading to talent shortages and intense competition among employers. To address these challenges, recruiters in the IT industry employ a variety of strategies, ranging from leveraging advanced recruitment technologies and data analytics to enhancing employer branding and implementing agile recruitment methodologies. By understanding the prevailing recruitment practices and challenges within the IT industry, organizations can develop tailored strategies to attract and retain top talent, thereby driving organizational growth and competitiveness. Through a combination of literature review, empirical research, and real-world case studies, this thesis aims to provide a comprehensive understanding of the practices and challenges of recruitment in the IT industry. By synthesizing theoretical insights with practical examples, this research seeks to offer valuable insights and actionable recommendations for recruiters, HR professionals, and organizational leaders seeking to optimize their recruitment efforts in the rapidly evolving IT landscape.
Understanding Media Consumption Habits of Gen Z in Metaverse and Virtual Reality Project
Authors:   Department of School of Business  Galgotias University, Greater Noida, Gupta Vivek Kumar
Published: May 2024

Generation Z, born amidst the digital revolution, navigates a media landscape vastly different from previous generations. Their unique habits, characterized by mobile-first content, community-driven engagement, and a preference for short-form, interactive experiences, present both challenges and opportunities for emerging technologies like the Metaverse and Virtual Reality (VR). This research embarks on an exploratory journey, delving into the nexus between Gen Z's media consumption patterns and their potential adoption of these immersive realities. Through a mixed-methods approach, the research will analyze how Gen Z's digital media preferences, ranging from short-form video platforms to online communities, influence their perception and potential engagement with the Metaverse and VR. In-depth interviews and focus groups will uncover their desired features and functionalities within these virtual environments, ensuring alignment with their existing media consumption habits. Additionally, content analysis of online forums and social media discussions will provide valuable insights into their concerns and expectations surrounding these new frontiers. By understanding the interplay between Gen Z's media consumption and their potential engagement with the Metaverse and VR, this research aims to achieve several key objectives. Firstly, it seeks to identify the potential influence of their media habits on their willingness to adopt these technologies. Secondly, it aims to explore their desired functionalities and the types of content they envision within these virtual spaces. Furthermore, the research strives to investigate the role of online communities and influencers in shaping their attitudes and decisions regarding the Metaverse and VR. Finally, it seeks to address the potential risks and ethical considerations associated with Gen Z's participation in these immersive realities, aiming to pave the way for a more inclusive and responsible digital future.
Building Consumer Trust in E-commerce : A Case Study of Flipkart
Authors:   Galgotias University,Greater Noida, Annu Abhishek Kumar
Published: May 2024

In the rapidly evolving landscape of e-commerce, consumer trust stands as a pivotal factor influencing purchasing decisions, brand loyalty, and overall business success. This case study delves into the strategies and practices adopted by Flipkart, a leading player in the Indian ecommerce sphere, to cultivate and sustain consumer trust. Through a meticulous examination backed by a sample size of 30+ respondents, this research employs statistical tools, specifically the Chi-Square test method, to scrutinize hypotheses pertaining to various dimensions of consumer trust. The study encompasses an extensive exploration of factors crucial to consumer trust in ecommerce, encompassing elements such as website security, product quality, customer service, and brand reputation. Utilizing a structured questionnaire, data is meticulously gathered from Flipkart customers, aiming to capture their perceptions and experiences with the platform. The application of the Chi-Square test method enables a thorough analysis of the interplay between different trust factors and levels of customer satisfaction. Initial findings suggest that Flipkart's strategic emphasis on robust security measures, dependable product delivery mechanisms, responsive and empathetic customer support, and coherent brand messaging significantly contributes to fostering consumer trust. Moreover, the research identifies specific strengths within Flipkart's approach to building trust, alongside areas where further enhancements could be made. By illuminating the intricate mechanisms through which Flipkart nurtures consumer trust, this study offers valuable insights for e-commerce practitioners striving to fortify customer relationships and attain a competitive edge in the digital marketplace. These insights hold significance not only for Flipkart but also for businesses operating within the broader ecommerce ecosystem, providing actionable strategies to bolster trust and drive sustainable growth.
PHARMACEUTICAL INDUSTRY ANALYSIS: A COMPREHENSIVE REVIEW OF MARKET TRENDS, COMPETITIVE LANDSCAPE, AND FUTURE OUTLOOK
Authors:   SCHOOL OF BUSINESS, GALGOTIAS UNIVERSITY, KUMARI SHEPHALI
Published: May 2024

The pharmaceutical industry, a cornerstone of modern healthcare, undergoes constant evolution to meet the dynamic demands of the healthcare landscape. This comprehensive review delves into the multifaceted dimensions of the industry, encompassing market trends, competitive dynamics, and future projections. Market trends reveal a shift towards personalized medicine, leveraging advancements in genomics and biotechnology, alongside a growing focus on specialty drugs catering to niche patient populations. The prevalence of chronic diseases and an aging populace accentuate the necessity for innovative therapies, while the digital revolution introduces new paradigms in patient care and drug development, propelled by telemedicine, digital therapeutics, and artificial intelligence. Simultaneously, regulatory pressures and pricing constraints exert significant influence, necessitating adaptability among industry players. In the competitive landscape, established pharmaceutical giants vie for market dominance amidst patent expirations and generic competition, while biotech startups and niche players disrupt traditional models. Mergers and acquisitions serve as strategic imperatives for pipeline fortification and market expansion. Looking forward, the industry must navigate a terrain characterized by rapid technological advancements, evolving patient needs, and regulatory complexities, all while striving for innovation, accessibility, and sustainability in the delivery of healthcare solutions. Keywords: Pharmaceutical industry, healthcare landscape, market trends, personalized medicine, specialty drugs, chronic diseases.
THE IMPLICATION OF ELECTRONIC BANKING ON INDIAN BANKING SECTOR
Authors:   SOB, Galgotias University, TIWARI RISHABH
Published: May 2024

Currently, India is the nation that is developing at the quickest rate in the globe, and since the demonetization of the country in 2016, there has been a spike in the e-banking industry of India. In the modern, digitalized world, electronic banking has become an essential component. The purpose of this study was to collect data regarding the history of electronic banking in India, analyze the current state of electronic banking in India through the use of surveys, and attempt to forecast the future of the electronic banking industry in India. In this study, we investigated seven distinct aspects that are associated with electronic banking in India. Alternative methods of conducting business Quantity of users Innovative technological developments in online banking the sum of all funds sent through electronic banking Policies of the government Educating the general audience about the various services that are provided via online banking In order to obtain the necessary information, we first carried out a survey in the city of Pune and its surrounding areas. Subsequently, we examined the data and attempted to make predictions regarding the future. Throughout the survey, we inquired about a variety of topics, including the respondents' preferred banking method and the number of transactions they completed on a weekly basis. After that, we put the information that we had gathered from the survey and the RBI through an analysis, and based on the findings of that study, we attempted to make a prediction about the future in two stages. Keywords:- Implication , Electronic, Banking, Sector, India
“FDI AND ITS IMPACT IN INDIA”
Authors:   SCHOOL OF BUSINESS, GALGOTIAS UNIVERSITY, SHARMA MAHAK
Published: May 2024

A major factor in India's economic growth and development, foreign direct investment (FDI) is a game-changer. In this article, we take a look at how foreign direct investment (FDI) has affected different parts of India's economy and how it has affected things like job creation, technology transfer, and GDP growth. The paper explores the main factors that attract foreign direct investment (FDI) to India and the obstacles that stand in the way of this trend through an extensive analysis of previous research and empirical data. Keywords: Foreign Direct Investment, India, economic growth, employment, technology transfer
FRAUD DETECTION AND PREVENTION IN FINANCIAL INSTITUTIONS
Authors:   Galgotias University, LAMGADE NEELU
Published: May 2024

Financial fraud, characterized by deceptive practices aimed at securing financial gains, has emerged as a prevalent threat within companies and organizations. Traditional methods like manual verification and inspection are inaccurate, expensive, and time-consuming in identifying fraudulent activities. With the rise of artificial intelligence, machine learning-based approaches offer a promising solution to detect fraudulent transactions through the analysis of vast financial datasets. This paper presents a systematic literature review (SLR) that systematically surveys and consolidates existing literature on machine learning (ML)-based fraud detection. Employing the Kitchenham approach, which employs defined protocols to extract and synthesize relevant articles, this review reports the findings from various studies gathered through specified search strategies from electronic databases. After applying inclusion/exclusion criteria, 93 articles were selected, synthesized, and analyzed. The review outlines popular ML techniques utilized for fraud detection, prevalent fraud types, and evaluation metrics. The surveyed articles indicate that support vector machine (SVM) and artificial neural network (ANN) are commonly employed ML algorithms for fraud detection, with credit card fraud being the most addressed fraud type using ML techniques. Additionally, the paper discusses key issues, gaps, and limitations in financial fraud detection and suggests potential areas for future research. Furthermore, the review identifies challenges like class imbalance in datasets and the dynamic nature of fraud patterns. While SVM and ANN are popular, exploring ensemble methods, deep learning, and anomaly detection techniques shows promise for improving detection accuracy in suitability. Future research should address these limitations and foster collaboration between academia, industry, and regulatory bodies to advance fraud detection methods and safeguard financial transactions.
USER PERCEPTION TOWARDS STOCK PRICE PREDICTION USING LINEAR REGRESSION MODEL
Authors:   Galgotias University, KUMAR NIKHIL
Published: May 2024

Stock market prediction is a critical area of research with profound implications for investors, financial analysts, and policymakers. This study explores the efficacy of linear regression analysis within the domain of business analytics for forecasting stock market movements. Leveraging historical stock prices and relevant economic indicators, we employ a rigorous methodology to construct and evaluate predictive models using linear regression techniques. Technological advancement increases the study on stock and share market industry. Decision making is enhanced by various statistical and machine learning algorithms. Enormous research work has been concentrated on the feature prediction of stock prices based on historical prices and volume. Performance measures are analyzed in this work with S&P 500 Index using statistical methods in Python environment. Results obtained in this study are superior than the existing methods. The conventional methods for financial market analysis are based on linear regression. This paper focuses on the best independent variables to predict the closing value of the stock market. This study is used to determine specific factors which are providing the most impact on the prediction of the closing price.
Comparison between Tableau and Power bi: A Case Study of COVID19
Authors:   School of Business, Rajput Sonia
Published: May 2024

Things have come a long way since then, with ever-increasing amounts of data being accessible for modern businesses. As a result of such an influx of data, various organizations have produced software to help businesses make sense of the vast swathes of information. There are now many excellent BI tools on the market today. Tableau first launched in 2004, providing a drag-and-drop way for users to create interactive visuals and dashboards. In reality, Tableau has a variety of products that help businesses store, analyze, and visualize data. Microsoft Power BI arrived on the scene several years later, first launching to the public in 2011. Again, the focus was to create an easy-touse interface to enable non-programmers to organize and visualize data.. Business intelligence is a practice that pre-dates the digital age. The first usage of the term dates back to the 1860s, referring to an American. banker who gathered and analyzed data to gain actionable insights and get ahead of the competition. Things have come a long way since then, with ever-increasing amounts of data being accessible for modern businesses. As a result of such an influx of data, various organizations have produced software to help businesses make sense of the vast swathes of information. There are now many excellent power BI tools on the market today. Tableau first launched in 2004, providing a drag-and-drop way for users to create interactive visuals and dashboards. In reality, Tableau has a variety of products that help businesses store, analyze, and visualize data. Microsoft Power BI arrived on the scene several years later, first launching to the public in 2011. Again, the focus was to create an easy-touse interface to enable non-programmers to organize and visualize data. Like Tableau, Power BI .
IMPACT OF PACKAGING DESIGN ON CONSUMER PURCHASING DECISIONS
Authors:   GALGOTIAS UNIVERSITY, SINGH NIRDESH
Published: May 2024

There are a lot of items out there competing for consumers' attention, so having attractive packaging is becoming more important. This master's thesis delves at the complex world of packaging design and how it influences customer behavior. This study delves into relevant literature, survey data, and real-world examples to uncover the complex relationship between packaging's visual appeal, usefulness, and consumer psychology. The structural (size, form, and material choice) and visual (color, typography, and graphics) components of packaging design are both studied in detail. It takes a look at how various demographics and product types are affected by consumer perceptions, preferences, and intents to buy. Moreover, the study explores how packaging conveys brand values, identity, and product qualities, influencing customer impression and loyalty to the brand. Keyword : Packaging design, consumer behavior, aesthetics, functionality, consumer psychology, visual elements, color, typography, imagery,
THE IMPACT OF RECENT WAR ON INDIAN STOCK MARKET
Authors:   School of Business Galgotias University, Prasann Pratyush
Published: May 2024

Background: The Indian stock market is vulnerable to a range of internal and foreign influences, including geopolitical events such as wars, and is an important indication of the country's economic health. The current dispute has sparked worries about possible effects on the Indian stock market, necessitating a thorough examination of its effects.
IMPACT OF SOCIAL MEDIA INFLUENCERS ON CONSUMER PURCHASE DECISION
Authors: RASTOGI SACHIN
Published: May 2024

The data provides useful insights into social media users' preferences and actions surrounding influencer marketing across various platforms and demographics. Instagram is the most popular platform, with Facebook maintaining a balanced user base and YouTube attracting more male users. Females choose fashion and beauty products, whereas guys prefer technology and electronics. Younger generations are increasingly active in influencer marketing, demonstrating their importance in this space. Trust in influencer recommendations varies with age, with younger populations showing higher levels of trust. The majority of respondents base their purchases on influencer recommendations, revealing influencers' powerful influence on consumer behavior. Furthermore, the domination of product suggestions based on influencer endorsements reveals social media influencers' immense impact, particularly among younger viewers.. However, there are challenges to authenticity and transparency in influencer marketing. Instagram, in particular, is being questioned about its authenticity, leading users to lose faith. Deceptive endorsements on this media typically lead to unfollowing, highlighting the importance of authenticity in maintaining audience engagement and confidence. Furthermore, there is skepticism regarding influencer transparency when it comes to releasing agreements, indicating that influencer-brand relationships should be more honest and clear. Overall, these insights highlight the changing nature of influencer marketing and the necessity for businesses and influencers to embrace authenticity and transparency in order to develop meaningful connections with their audience in the digital sphere.
ASSESSMENT OF BARRIERS AND CHALLENGES OF SUSTAINABLE LOGISTICS
Authors:   GALGOTIAS UNIVERSITY, GREATER NOIDA, INDIA, VERMA AADITYA
Published: May 2024

ABSTRACT This study investigates the various challenges faced by firms in their pursuit of sustainable logistics strategies. First, we need to catalog all the obstacles that keep the logistics sector from becoming more socially and environmentally conscious so that we can assess the challenges of sustainable logistics. Establishing sustainable logistics practices is not without its challenges, including but not limited to: cost, lack of knowledge, infrastructure, legislation, technology, complexity of the supply chain, reluctance to change, problems with measurement and reporting, competitive pressures, and unpredictable customer behavior. "Green logistics" refers to a comprehensive strategy for managing supply chains with an eye toward minimizing negative impacts on the environment. Reduce emissions, waste, and resource consumption at every stage of the supply chain using green logistics. This method covers everything from acquiring raw materials to final disposal. Implementing measures like as route optimization, fleet modernization, and packaging can help businesses save money, run more efficiently, and reduce their environmental impact. Some sustainable transportation options include using alternative fuels and vehicle technology, optimizing last-mile delivery solutions, and encouraging multimodal transportation systems. KEYWORDS : Barriers of Sustainable logistics, Sustainable transportation, Green logistics, Sustainable supply chain, Best and worst method
MARKETING STRATEGIES AMUL ICE-CREAM IN NOIDA
Authors: SHARMA ASHISH
Published: May 2024

This essay explores new ways of advertising Amul Ice Cream in the ever-changing Noida market. Noida is a metropolis with a diverse population and a fast growing client base, providing Amul with ample opportunities for growth. After researching the local market, customer tastes, and competitors extensively, this report offers strategic positioning and promotion ideas for Amul Ice Cream. Some examples of these strategies include developing regionally specialized flavors, utilizing innovative packaging designs, forming partnerships with local businesses and events to increase product visibility, and utilizing digital platforms for more targeted promotion and interaction. Promoting a company's commitment to offering reasonably priced, high-quality products is a certain way to boost brand trust and loyalty. Amul can strengthen its position and drive growth in the fiercely competitive ice cream sector with these innovative marketing strategies tailored to the Noida market. Keywords: Amul Ice Cream, Noida, marketing strategies, product differentiation, distribution channels, promotional activities, customer engagement.
IMPACT OF FINTECH ON TRADITIONAL BANKING
Authors:   SCHOOL OF BUSINESS, GALGOTIAS UNIVERSITY, KUMAR SHUBHAM
Published: May 2024

The Flawed Impact of Financial Technology (FinTech) on Traditional Banking Institutions This absurdly intriguing study explores the mind-boggling transformative impact of Financial Technology (FinTech) on traditional banking institutions or somethings. Diving headfirst into a comprehensive and questionably review of literature and analysis of empirical data, it examines how FinTech innovations are supposedly reshaping the peculiar landscape of banking services, customer experiences, floundering industry competition. The rather bewildering findings, should you choose to believe them, reveal so-called significant disruptions in traditional banking models, including enhanced efficiency, improved accessibility, and some overhyped heightened customer expectations. However, challenges from another dimension such as regulatory compliance and phantom cybersecurity threats also supposedly emerge like ghosts in broad daylight. Understanding these nonsensical dynamics might be crucial for traditional banks to adapt, morph, or awkwardly stumble in the rapidly evolving and somewhat surreal FinTech ecosystem, ensuring sustainable growth in a bumpy rollercoaster ride and continued relevance.
IMPACT OF MOTIVATION ON EDUCATOR’S PERFORMANCE IN THE EDUCATION INDUSTRY
Authors:   Galgotias University, Singh Harshit
Published: May 2024

Motivation is a critical variable in educational institutions as it upgrades staff performance and efficiency. The current study aimed to explore the impact of motivation on teachers’ job performance. In order to investigate the impact of motivation on job performance of school/college/university teachers, a descriptive survey design was employed through closeendedquestions. The target population of the present study was all the male and female teachers from various schools/colleges/universities from Delhi NCR, India. The study sample size was 120 teachers/professors which were selected on the basis of convenience sampling. The researcher usedthe questionnaire as data collection instrument on 5-point Likert scale. The results validated the research questions and proved statistically significant impact of teacher’s motivation on job performance.
REAL TIME FACE ATTENDANCE SYSTEM USING DEEP LEARNING
Authors:   SMT. INDIRA GANDHI COLLEGE OF ENGINEERING Ghansoli, Navi Mumbai - 400701, ACHALKHMAB MR.VAIBHAV
Published: May 2024

One's face is a physical depiction of who they are. As a result, we have suggested a facial recognition- based automatic student attendance system. The usage of face recognition technology in everyday life is particularly beneficial for security control systems. Face recognition is used by the FBI (Federal Bureau of Investigation) for criminal investigations as well as the airport security system to identify criminals. In the first step of our suggested method, video framing, the camera is activated using a user-friendly interface. The Viola-Jones method is used to identify and segment the face ROI from the video frame. If necessary, image size scaling is done at the pre-processing step to prevent information loss. After using the median filter to reduce noise, color pictures are transformed into grayscale versions. Then, to improve the contrast of the pictures, contrast-limited adaptive histogram equalization (CLAHE) is applied. Principal component analysis (PCA) and improved local binary pattern (LBP) are used appropriately in the face identification stage to extract the characteristics from facial pictures. By minimizing the lighting impact and boosting identification rates, the improved local binary pattern outperforms the original local binary pattern in our suggested method. The features that were retrieved from the training pictures and the features that were extracted from the test images are then compared. The face pictures are then identified and categorized using the upgraded LBP, PCA, and algorithm that produced the best results. The acknowledged student's attendance will then be recorded and saved in the excel file. A warning will be sent if a student signs in more than once. The student who is not enrolled will also be allowed to register right away. When two photographs per person are trained, the average recognition accuracy is 100% for high-quality images, 94.12% for low-quality images, and 95.76% for the face database.