bluuebunny/crossref_metadata_2025 huggingface dataset:
Jugular venous thrombosis as a risk factor for Exercise-induced pulmonary hemorrhage in Thoroughbred racehorses
Authors: Shawaf Turke
Published: June 2024

Background:
Exercise-induced pulmonary hemorrhage (EIPH) is one of the most commonly diagnosed disorders in racehorse. Many EIPH risk factors such as breed, age, high or low environmental temperature, distance of the race has been studied in racehorses.
Aim:
The aim of this study was to study the relationship between EIPH and the presence of jugular vein thrombose in racehorses
Methods:
Forty-eight thoroughbred racehorses randomly selected from animals with exercise intolerance due to respiratory disorders were enrolled in the present study. Clinical and tracheobronchoscopy examination were done for EIPH grading. In addition, both jugular veins were examined using ultrasonography for vein thrombosis.
Results:
It was noted during endoscopy that many cases suffered from laryngeal paralysis, and we were not able to assess the degree of laryngeal paralysis under sedation. About 40% of horses with exercise intolerance suffered from EIPH of varying degrees. Most cases of jugular vein thrombosis were of the chronic type, as local heat and pain were not observed. About 42% of the exercise intolerant horses had jugular vein thrombose with most jugular vein thrombosis on the left side. Combined jugular veins thrombose and EIPH was found in about 25% of exercise intolerance horses, while 17% showed jugular vein thrombose without EIPH, and 41% showed no EIPH with the absence of jugular vein thrombose.
Conclusion:
The present study revealed that jugular vein thrombosis may cause disorders-associated damage to the vessels and anatomical structures closed to it, such as the trachea causing EIPH.
Occurrence, antimicrobial resistance, and molecular characterization of Salmonella enterica from chicken products and human in Wasit Governorate of Iraq
Authors: Shafee Ahmed , Abdulwahid Mushtaq
Published: June 2024

Background:
Salmonella infections are considered the most common foodborne pathogens responsible for zoonotic infections and food poisoning in humans and animal species such as birds. Antimicrobial resistance is considered a global anxiety, because it cause human public health repercussions, as well as lead to increase in animal morbidity and death.
Aim:
The aims of this study are the isolation and identification of Salmonella enterica, as well as to investigate the antimicrobial susceptibility test and the molecular characteristics using PCR and sequences for isolates from chicken products (eggs, livers and minced meat) and human in the Wasit Governorate of Iraq.
Methods:
A total of 300 samples (150 chicken product samples including eggs, livers, and minced meat, and 150 human fecal samples) were collected from the Wasit governorate of Iraq from January to December 2022. The bacterial isolation was done according to recommendations of ISO 6579 standard and the Global Foodborne Infections Network laboratory protocol WHO 2010. Serotyping test and Antimicrobial susceptibility test (AST) were done by using 19 antibiotic agents according to the recommendations of CLSI, 2022 by using disc diffusion susceptibility test and Vitik 2 test. Finally, the suspected isolates were confirmed using the conventional polymerase chain reaction (PCR) method and sequencing for a unique rRNA gene.
Results:
The results showed that the isolation percentage of S. enterica in chicken products was 8.66% (12% eggs, 6% livers and 8% minced meat), while in humans it was 4.6%. Also, showed 100% of S. Typhi in human. While, in chicken eggs S. Typhi, S. Typhimurium and S. Enteritidis were 50%, 33.33% and 16.66%, respectively. Also, showed 100% of S. Typhimurium in both livers and minced meat. The AST in human isolates showed resistance to Ampicillin, Cefotaxime, Ceftazidime, Cefepime, Amikacin, Gentamicin, Ciprofloxacin, Norfloxacin, and Ceftriaxone, while no resistance to Amoxicillin, Pipracillin, Ertapenem, Imipenem, Meropenem, Fosfomycin, Nitrofurantoin, Trimethoprim, Azithromycin, and Tetracycline. In chicken products isolates were resistance with different percentages to Amikacin, Gentamicin, Tetracycline, Ciprofloxacin, Norfloxacin, Nitrofurantoin, Ampicillin, Cefotaxime, Ceftazidime, Cefepime, and Trimethoprim; while no resistance to Amoxicillin, Pipracillin, Ertapenem, Imipenem, Meropenem, Fosfomycin, Azithromycin and Ceftriaxone. Sequencing by using rRNA gene was done for four PCR products.
Conclusion:
This study showed the presence of genetic mutations for S. enterica which led to variations in the molecular characteristics, and antimicrobial drug resistance of S. enterica isolated from chicken products and human.
Saline volume required to achieve peristaltic intraluminal pressure during leak testing of canine colotomies, using two methods of luminal occlusion
Authors: Prastiti Eleni , Savvas Ioannis , Angelou Vasileia , Papazoglou Lysimachos
Published: June 2024

Background:
No studies have appeared in the literature evaluating the intraluminal volume of injected saline in the canine colon for performing leak tests in colotomy incisions.
Aim:
To determine the volume of the injected intraluminal saline necessary to achieve an intraluminal pressure of 17.3 cm H2O in 10 cm colonic segments containing a closed colotomy occluded with intestinal forceps or by digital pressure.
Methods:
Fresh colon was obtained from 8 canine cadavers and divided into 10cm segments. A 3cm antimesenteric colonic incision was performed at each intestinal segment which was closed using a 3-0 polydioxanone suture in a simple continuous pattern. Each colonic construct was occluded with Doyen intestinal forceps or by digital pressure and a leak test was performed by saline infusion. The saline volume needed to achieve a predetermined intraluminal pressure of 17.3 cm H2O, following occlusion was recorded.
Results:
The mean volume of injected saline with the Doyen intestinal forceps occlusion (20.4 ± 8.2 ml) was significantly larger than that of the digital occlusion technique (17.5 ± 6.8 ml) [ P=0.021].
Conclusion:
For 10 cm canine colonic constructs containing a closed colotomy, saline volumes of 20.4 ml with Doyen occlusion and 17.5 ml with digital occlusion can be utilized to achieve intraluminal pressures of 17.3 cm H2O.
Antidiabetic, antidyslipidemia and renoprotector potency of butterfly pea flower extract (Clitorea ternatea L.) in diabetes mellitus and dyslipidemia rats model
Authors: Widowati Wahyu , Darsono Lusiana , Natariza Maria , Waluyo Novaldo , Tenda Abigail , Siahaan Berlian , Oktaviani Reza , Zahiroh Fadhilah , Utomo Herry , Rizal Rizal
Published: June 2024

Background:
Diabetes Mellitus (DM) is a long-term condition marked by high blood glucose levels caused by insulin resistance which will lead to complications of other diseases such as dyslipidemia which also affects the health of the liver and kidneys. Butterfly Pea Flower (Clitorea ternatea L.) has phenolic and flavonoid compounds which have the potential as herbal medicines for antidiabetics.
Aim:
The purpose of this study is to examine the potential of Butterfly Pea Flower Extract (BPE) as an antidiabetic, anti-dyslipidemia, and renoprotection.
Methods:
In vivo test was performed on Sprague Dawley rats (Rattus norvegicus L.) induced by Streptozotocin-Nicotinamide and High Fat Diet-Propylthiouracil as models of DM and dyslipidemia, and BPE was administered orally (200, 400, and 800 mg /kg BW) for 28 days. GSH-Px, GST, TNF-α, NF-kB, ALP, liver albumin levels, serum BUN, SCr, and serum UA, were measured by ELISA and colorimetry methods.
Results:
Treatment of BPE 800 mg/kg BW increase levels of GSH-Px, GST, albumin, and serum protein. BPE decreases TNF-α, NF-kB, and ALP. BPE also decreases BUN, serum CR, and serum UA.
Conclusion:
BPE has the potential to be used as a drug alternative for the treatment of diabetes mellitus and dyslipidemia as well as a hepatoprotective and renoprotective agent.
Changes in the hematobiochemical, acid–base and blood gas elements as well as biomarkers of inflammation and bone metabolism in donkeys (Equus asinus) with acute bleeding
Authors: Tharwat Mohamed , Sobayil Fahd , Ali Haytham
Published: June 2024

Background:
Acute hemorrhage is fatal in equines with a complication of severe hypovolemic shock that causes a sudden death in such cases.
Aim:
This study was designed to report the influences of acute bleeding in conscious non-sedated donkeys (Equus asinus) on the hematobiochemical variables, acid-base, blood gas elements and markers of inflammation and bone metabolism.
Methods:
Eight healthy donkeys were used where a total of 900mL of whole blood was collected. Five blood samples were collected from each animal: just before collection of blood (T0); (2) 30min (T1), 60min (T2), 120min (T3) and 240min (T4) later. The blood panels including total white blood cells, lymphocytes, neutrophils, red blood cell counts (RBCs), HCT, hemoglobin (Hg) and RBCs indices were measured. Biochemical parameters and electrolytes were evaluated. The activity of aspartate aminotransferase (AST), creatine kinase (CK) and γ-glutamyl transferase (GGT) were also determined. Complete acid-base and blood gas panel were assessed. Serum amyloid A (SAA), haptoglobin (Hp), osteocalcin (OC), bone alkaline phosphatase (b-ALP) and pyridinoline cross-links (PYD) were measured.
Results:
The RBCs, Hg and HCT increased significantly at points T1, T2 and T3 compared to T0. The concentrations of total proteins and albumin decreased significantly at points T3 and T4. The blood urea nitrogen concentrations increased significantly at T4. Creatinine concentrations increased significantly at T2 and T3. The AST, GGT and CK decreased significantly. On the other hand, glucose increased significantly at T3 and T4. The pH decreased significantly at points T1, T2, T3 and T4. The PCO2 increased significantly at T 3 and T4. The BE, HCO3 and TCO2 values decreased significantly at T2, T3 and T4. Contrary, the AG increased significantly at points T3 and T4. The potassium increased significantly at T1-T4 and chloride decreased significantly at T3 and T4. Lactate showed significant increases at T1-T4. The SAA, Hp, OC, b-ALP and PYD did not differ significantly at T1-T4.
Conclusion:
In conscious non-sedated donkeys, induced bleeding resulted in significant changes in the hematobiochemical elements, the acid-base status and blood gas and electrolyte parameters. However, it did not change the markers of inflammation and bone metabolism.
Key informant perspectives on delivering adolescent pregnancy-related services in Eastern Visayas
Authors: Sy Alvin Duke , dela Luna Kim Leonard , Malimban Rowel , Estadilla John Oliver , Maglinab Jasper , Jeon Jihwan , Ji Heyeon
Published: June 2024

Teenage pregnancy remains to be a major concern in the health of Filipino adolescents despite the nationwide adoption of sexual and reproductive health policies. However, trends in pregnancies have not changed significantly accompanied by a dearth of studies examining the delivery of such interventions. The current study aimed to examine the experiences and complexities in delivering adolescent-aimed interventions from the lenses of various service providers. A qualitative descriptive study using key informant interviews was conducted in Eastern Visayas. An inductive approach to thematic analysis was adopted with the responses compared and categorized until a more encompassing theme can describe the perspective of the key informants. Fifteen interviews were conducted from the education, health care, leadership, and religious sectors of the community. Three main themes were derived with the first one expressing how perceived predisposing factors to teenage pregnancy influence the manner of delivering services. The second theme, multi-sectoral responsibility, presented aspects of adolescent services that must be addressed by various agencies to improve service delivery and even raising issues such as access to contraception. The last theme mentioned other aspects of teenage pregnancy that need to be included in the currently implemented programs. The study findings highlight the need to re-establish and improve structures in adolescent service delivery including proper allocation of resources, training and preparing personnel, and improving inter- and intra-agency partnerships. Further research is called for to further examine facilitators and barriers to the delivery of adolescent-aimed programs, and eventually improve social, economic, and health outcomes among the teenage population.
Perception Of Generation X And Millennials Towards Tax Compliance In Indonesia
Authors: Pohan Fawwaz Muhammad Zakli , Marfiana Andri
Published: June 2024

Digitalization of taxation such as DGT Online is one of the programs from DGT to be able to assist taxpayers in fulfilling compliance properly. In addition, Industrial Revolution 4.0 and Tax Administration 3.0 have almost the same principles as the DGT's tax digitalization program. Apart from the digital side, there is a public trust factor that can affect compliance. The results of this study obtained a conclusion that, the application of tax digitalization in terms of services, especially system convenience and supervision, has not been very effective in increasing tax compliance. This is seen from generation X and millennials. Other factors such as law enforcement and sanctions are prominent. Public trust in DGT's performance has been a consideration for taxpayers to remain tax compliant. The integrity value issued by the DGT is a guide for the community to comply with taxes. In addition, generational perspectives on compliance are generally similar, they remain tax compliant because they are aware of the effects of sanctions. What makes the difference is their response to corruption cases, where the millennial generation is more open and assertive than generation X.
Determinants Of Corporate Income Tax Revenue In Latin America
Authors: Listikarini Dian Irsalina , Wijaya Suparna
Published: June 2024

Taxes are considered as an important fiscal policy tool in catalyzing inclusive economic growth and achieving the Sustainable Development Goals. Latin America as a region with great natural resource potential, still has a narrow tax base due to problems of law enforcement, tax incentives and tariff reductions. The corporate income tax that significantly increases revenue in the Latin America/LAC region in 2019 around 3.7 percent of GDP is interesting to study. Therefore, this research was conducted to examine the determinants of corporate income tax revenue in the Latin American. This study uses panel data on 12 countries in Latin America in the 2008-2018 period. The statistical method used is a quantitative method with multiple linear regression. Based on testing the panel-corrected standard error estimation model is the best model. The results show that all  independent  variables  simultaneously affect tax revenue. The variables of economic growth, FDI inflows, land area, and trade openness partially have a significant positive effect on corporate income tax revenues. Meanwhile, the tax attractiveness index variable has a significant negative effect on corporate income tax revenue in the Latin American. In addition, from the moderating variable, trade openness only managed to moderate the relationship between FDI inflows and corporate income tax revenues with a weakening result, and failed to moderate the relationship between economic growth and corporate income tax revenues. Based on the results of this study, it is necessary to further review the international trade policies in the Latin American because trade openness still tends to have no effect and even weaken the positive relationship between FDI inflows and corporate income tax revenues.
The Role Of Institutions And E-government In Mobilizing Value-Added Tax Revenue In Asia-Pacific Mid-Size Economies
Authors: Wijaya Suparna , Hashfi Hasbiul
Published: June 2024

This study examines how the informal economy, law enforcement, and e-government interact to affect value-added tax (VAT) revenue in middle-income countries in Asia Pacific in the period 2002-2018. Panel data regression analysis is used to estimate this relationship. The results show that the informal economy significantly reduces VAT revenue, while e-government implementation has a negative effect. E-government dampens the negative impact of informality on revenue. However, it strengthens the negative relationship between law and revenue, contrary to expectations. These findings underscore the importance of balanced tax reforms that take into account country-specific constraints. The expansion of e-governance should be accompanied by capacity building and efforts to reduce the informal economy. This study makes an empirical contribution by examining the joint impact of informality, governance, and technology on tax performance in developing countries.
Research Paper on Geek-Grid
Authors:   Department of Computer Science and Engineering, Babu Banarasi Das Northern India Institute of Technology, Pandey Aman
Published: June 2024

Geek-Grid is a transformative web application designed to bridge the gap between traditional education and the dynamic needs of modern industry. Powered by React.js and Firebase, Geek-Grid offers personalized learning, industry integrated content and intelligent job search algorithms to prepare learners for the competitive job market. This article explores the motivation behind Geek-Grid, its features, system requirements, and its impact on education and career readiness. The traditional education system often fails to keep pace with the rapidly changing demands of the modern workforce, creating a significant gap between what students learn and what employers need. Geek-Grid is a web application specifically designed to bridge this gap by integrating educational content with real-world industry requirements. Utilizing modern technologies such as React.js and Firebase, Geek-Grid offers a comprehensive learning platform that includes personalized learning paths, video lectures, informative articles, and live job alerts. It also provides recruiters with tools to search for and connect with suitable candidates, making it a dual-ended platform benefiting both students and employers. By leveraging the SERP API, Geek-Grid ensures that job listings are current and relevant, thereby enhancing the job search experience for users. This paper explores the motivation behind Geek-Grid, its innovative features, the technologies used in its development, and its potential impact on education and career readiness. Geek-Grid aims to not only enhance the learning experience but also to make students industry-ready, ultimately contributing to a more competent and prepared workforce.
A Review Study on Belt Wall in Non-Regular Buildings in Various India Earthquake Zones
Authors:   G H Raisoni Institute of Engineering & Technology Nagpur, Jambhulkar Maitrey
Published: June 2024

To reinforce a building's central walls and external columns and boost its stability against overturning, outriggers are robust horizontal frameworks like beams and frames. While cantilevers have been an attribute of buildings for more than fifty years, their performance has been enhanced by innovative design concepts. The structural system known as the foundation system is made up of horizontal cantilever portions that are fastened to the structure's external columns and interior core. The system's lateral stiffness and central moment arm are both enhanced by this link. By joining the core and the building supports, the stabilizer lowers the back moments inside the core and transfers moments from the core to the exterior supports. Steel, concrete, and composite materials are just a few of the elements that can be used to make stabilization systems. Usually the core is positioned on one side of the building and the stabilizers expand on the opposite side, or the stabilizers expand on one side of the central core. To stop lateral movement, the perimeter of the building is attached together and expanded by column-connecting walls. Wall-mounted stabilizers are more efficient than wall-free ones. The center wall cannot freely rotate on the external columns due to the stabilizing arm. The location of outriggers and tie rods, the quantity of outriggers, the form of the structure, the type of core (steel or concrete), and the height from floor to ceiling are just a few of the elements that might impact how well outriggers and straps function in the structure. Several studies were selected for this review study with the purpose of analyzing the impact of belt walls on irregular structures. Obtain a thorough analysis of the types of irregular buildings and how earthquakes affect these constructions. Earthquake zones are used in India to categorize the degree of seismic loading. Keywords: Belt Wall, earthquake zone, Irregularities of Building, Storey displacement, bending moment etc.
PARIBHAASHA
Authors:   Department of Computer Science Engineering (AIML) Axis Institute of Technology and Management, Kanpur, U.P., JAIN SHUBHA
Published: June 2024

As in world increasingly reliant on digital communication, effective writing skills are paramount. However, for “Hindi” language users, finding tools that take their unique linguistic needs presents a challenge. This abstract will come with a novel solution: a Grammarly-like platform precisely designed to empower Hindi writers by offering advanced language correction and enhancement features tailored specifically for the nuances of the Hindi language. At the core of our platform lies a sophisticated text analysis engine, powered by state-of-the-art natural language processing algorithms meticulously trained on vast corpora of Hindi text. Our platform offers a seamless user experience, with a user-friendly interface designed to facilitate effortless interaction in single time of corrections. Users can simply input their “Hindi” text into the platform, and within moments, receive comprehensive feedback and suggestions aimed at refining their writing to perfection. In addition to its high dynamic language correction capabilities, our platform also features advanced plagiarism detection functionality. Leveraging cutting-edge algorithms that is particular focusing on platform thoroughly scans user-submitted text against an extensive database of online sources, academic papers, and published works to ensure originality and integrity, vulnerable and fully secured. Furthermore, our platform goes beyond mere error correction to offer personalized writing insights and guidance. Users can set custom writing goals based on their intended audience, style preferences, and communication objectives. Our platform then provides tailored suggestions and recommendations aimed at helping users achieve their desired writing outcomes, whether it be crafting formal business documents, creative literature, or casual social media posts. This engine enables our platform to accurately identify and rectify a myriad of grammatical errors, spelling mistakes, and stylistic inconsistencies commonly encountered in Hindi writing.
WEALTH’S SECRET
Authors:   Department of Computer Science Engineering Axis Institute of Technology and Management, Kanpur, U.P., Tripathi Mr. Durgesh
Published: June 2024

In recent years, trading applications have revolutionized the way individuals engage with the financial markets, providing unprecedented access to real-time data and advanced trading strategies. This paper presents "Wealth Secret," a cutting-edge trading application designed to cater to the needs of both novice and experienced traders. The application leverages real-time stock and index data sourced from yfinance, focusing on the top 50 stocks of Nifty-50, leading stocks in the banking sector, and a comprehensive range of mutual funds including mid-cap, small-cap, and large-cap categories. "Wealth Secret" incorporates a robust backend developed in Python and deployed on PythonAnywhere, ensuring reliable and scalable performance. The frontend, built using Kotlin, offers an intuitive and user-friendly interface. Firebase Realtime Database and Firebase Auth provide secure and efficient data management and user authentication, complemented by local storage solutions through SQLite. One of the standout features of "Wealth Secret" is its extensive coverage of options trading strategies, tailored to various market conditions—bullish, bearish, and sideways. This strategic depth equips users with the necessary tools to navigate the complexities of the financial markets effectively. Additionally, the application includes a dedicated section for purchasing, enhancing the user experience by facilitating seamless transactions within the platform. This paper delves into the technical architecture, real-time data integration, and strategic functionalities of "Wealth Secret," highlighting its potential to empower traders with actionable insights and sophisticated trading capabilities. Through this research, we aim to demonstrate how innovative technology can transform trading practices, making them more accessible and efficient for a broader audience.
Lightning and Switching Surge Node Voltage Distribution in Model Transformer Winding
Authors:   Dr. Ambedkar Institute of Technology Bangalore
Published: June 2024

Power transformers are vital components in electrical power systems, facilitating the transmission and distribution of electricity. However, they are susceptible to various electrical disturbances, among which surges pose a significant threat. Surges, also known as transients, are brief, high-voltage fluctuations in the electrical system that can potentially damage transformers and other connected equipment. The surge phenomenon in power transformers is a complex interplay of electrical and magnetic forces. It is often triggered by lightning strikes, switching operations, or faults in the system. Surges can travel through the power grid, reaching transformers and causing insulation breakdown or winding damage. Understanding the surge phenomenon is crucial for ensuring the reliability and longevity of power transformers. This project aims to delve into the mechanisms behind surges, their effects on transformers, and strategies to mitigate their impact. By comprehensively examining this phenomenon, we can develop better protection and prevention techniques, enhancing the overall resilience of power systems against surges.
House Price Prediction Website
Authors:   Department Of CSE, IIMT College Of Engineering, Greater Noida, Sharma Vivek
Published: June 2024

Abstract The project focuses on developing a user-friendly web platform that predicts house prices based on various factors like location, size and historical pricing trends.This project not only demonstrates technical skills but also addresses a real-world problem. This project shows us that the machine learning algorithm based on accuracy, consistency out performs the other in the performance of the housing price prediction. Python is used for writing the Machine Learning Algorithms .We will implement a linear regression algorithm on our dataset. HTML,CSS and JS is used for designing the front end of the system. At last, House Price Prediction Website will be very helpful in detecting the prices of the houses and keeping the record of the high and low of the prices. Predicting the price of a house helps for determine the selling price of the house in a particular region and it help people to find the correct time to buy a home.
Enhancing Trip Planning with Undetectable AI and Machine Learning Personalization
Authors:   Axis Institute of Technology and Management, Soni Akhil Chandra
Published: June 2024

This research investigates the influence of Artificial Intelligence (AI) and Machine Learning (ML) on the personalization of travel itineraries. The study explores how these technologies enhance user experience, streamline planning processes, and address the complexities of trip customization. Emphasis is placed on the methods employed to ensure AI-driven solutions remain undetectable to users, maintaining a seamless and intuitive interface. Keywords: AI –Artificial Intelligence, ML-Machine Learning, Personalised Itinerary
Smart Solutions for Safe and Convenient Home Gas Management: A Comprehensive Approach to LPG Cylinder Monitoring and Booking
Authors:   St Joseph Engineering Colleg, Mangaluru, Miranda Priya Seema
Published: June 2024

In today's fast-paced world, people often struggle to manage daily tasks, including household chores such as scheduling LPG cylinder deliveries and addressing emergencies like gas leaks or fires. Recognizing this challenge, there's a growing need to develop technological solutions. The Proposed work focuses on designing a system to detect gas leaks from cylinders. It utilizes a gas sensor that triggers a servo motor to shut off the gas regulator upon detecting any presence of gas leakage, while also sending a notification to the user via a GSM modem. Additionally, the system addresses the issue of irregular LPG cylinder supply by automatically placing an order when the cylinder's net weight drops to 16.5kg, ensuring a reserve of 2kg of gas until the new cylinder arrives. Other features include flame intensity control through precise timing of the burner using Arduino, as well as an automatic gas supply shutoff if inactive for an extended period. Implementing this system in households guarantees enhanced safety and convenience in various ways. Key Words: Arduino Mega, Gas sensor MQ5, GSM Module, Load cell, Gas regulator, Servomotor.
Analysis of Wind Load in a 15-Storey Building Using Various Lateral Load Resisting Techniques: A Review
Authors:   G.H. Raisoni Institute of Engineering and Technology, Nagpur, India, Kamble Ms. Diksha
Published: June 2024

Traditionally, outrigger and belt truss additions are used to strengthen the rigidity of tall buildings with central cores in order to control displacements. At the top of the structure, a single level outrigger can efficiently reinforce a building. The lateral stiffness of each outrigger level rises, although not as much as that of the top level. The primary lateral force-resisting elements of high-rise building structures are shear walls. Higher-performance shear walls are necessary because to the ever-increasing building code requirements and the rising height of high-rise and super high-rise structures. The conventional reinforced concrete shear wall is not very ductile, has a limited capacity to dissipate energy, and is not very deformable. Specifically, the base of a typical shear wall is particularly vulnerable to earthquake damage and is highly challenging to restore. In high-rise and super high-rise buildings, steel plate shear walls (SPSWs) and steel plate reinforced concrete composite shear walls (SPCSWs) are frequently used in place of regular reinforced concrete shear walls or shaped steel reinforced concrete composite shear walls to improve the seismic performance of building structures. Numerous structural methods seem to be able to withstand lateral stresses brought on by earthquakes, blasts, and wind. The more crucial it is to choose the optimal structural arrangement to counteract opposing horizontal loads. Keywords— High-rise structure, Outrigger, Shearwall, Damper etc.
AI Driven Chatbot Counsellor
Authors:   SCTR’S Institute of Computer Technology , Dhankawadi, Pune, Kulkarni Prof. Rekha
Published: June 2024

Speech and written information are fundamental to human communication. As a result, the majority of spoken and textual communication takes place on digital platforms like Twitter, Facebook, and WhatsApp, among others. Our model employs dual recurrent neural networks (RNNs) to encode the information from text and audio sequences, as spoken language and sound constitute emotional discourse. The emotion class is then predicted by combining the data from the two sources. Due to the complexity of speech emotion recognition, models that use audio properties to generate powerful classifiers have become increasingly important. Completing sentences or crafting sentences from a given starting word is a major aspect of natural language processing. In a way, it shows if a machine is capable of human creativity and mental processes. In order to assist handle diverse phrase generation challenges, we use natural language processing to train the machine for certain tasks. This is especially useful for application situations such as machine translation, automatic question answering, and summary creation. At the moment, OpenAI GPT and BERT are the most widely used language models for text generation and prediction. The approaches based on handwritten instructions, patterns, or statistical methods have been quickly superseded by the latest developments in deep learning and artificial intelligence, such as end-to-end trainable neural networks. This research presents a novel approach to deep neural learning-based chatbot creation. This approach builds a multilayer neural network to analyse and learn from the data. Furthermore, we employ supplementary limitations on the generation model to generate the correct response, which is capable of discerning the context of the discussion, the user's mood, and the anticipated response. This enables us to provide customised counselling replies depending on customer feedback. Through this study, two new corpora will be used to train the OpenAI GPT model, which will then be used to generate articles and long sentences. Finally, a comparison study will be carried out. Concurrently, we will use the BERT model to complete the task of context-based intermediate word prediction. Keywords : Artificial Intelligence, Data Science, NLP, Deep Learning, Machine Learning, GPT, Generative AI, Speech Synthesis
A Study on Risk & Return Analysis of Selected FMCG Companies in India
Authors:   Faculty of Management Studies, Parul University
Published: June 2024

This research paper analyses the risk and return dynamics within India's Fast-Moving Consumer Goods (FMCG) sector, focusing on five major companies - Hindustan Unilever Limited (HUL), Nestle India, ITC, Britannia Industries Limited, and Godrej Consumer Products Limited. The study evaluates the risk-adjusted returns, financial ratios, and investment prospects of these companies from 2017 to 2022, providing insights for investors seeking diversification opportunities in this essential sector. The findings reveal that the benchmark S&P BSE Fast Moving Consumer Goods index demonstrated an expected return of 12.5% and a moderate risk level of 11.45% during the study period. However, the risk-adjusted ratios of the five companies fluctuated across different years, with some periods of underperformance relative to risk. The financial ratios analysis indicated sound financial health for most companies, with minimal debt levels, adequate liquidity, and robust profitability ratios. From an investment perspective, the FMCG sector in India presents opportunities for investors, with HUL and Nestle India emerging as attractive options based on consistent risk-adjusted performance and strong financial metrics. KEY WORDS: - Risk and return analysis, FMCG sector, Stock market analysis, financial ratios, Investment decision
‘MANDIBULAR DEFECTS’- A NARRATIVE REVIEW
Authors:   Dept of Prosthodontics, Lenora Institute of Dental Sciences, Rajahmundry, Andhra Pradesh, India,, A Dr. DeviSuvarchala
Published: June 2024

Mandibular defects can result from an assortment of causes, counting injury, tumors, disease, innate irregularities, and surgical resection. Understanding the classifications of these abandons is vital for treatment arranging and remaking. These classifications give an organized approach to diagnosing and arranging the treatment for mandibular absconds. Each framework has its applications and can be chosen based on the clinical situation and the needs of the patient. Mandibular defects taking after ablative surgery for dangerous tumors of the head and neck locale affect both shape and work. Procured segmental defects of the mandible are most commonly auxiliary to extirpation tumor treatment or avulsive traumatic harm. [1] Presently there is no all-around acknowledged classification framework of graphic surgical significance that exists for mandibular absconds taking after mandibular resection or planed mandibulectomy. Most of the accessible classifications are coordinated to mandibular surrenders counting hard surrenders of the mandible after surgical extraction of mandibular tumors or composite surrenders due to different etiologies. [2]
Secured Decentralized E- Voting System Using Blockchain
Authors:   Department of Computer Science & Engineering, Axis Institute of Technology and Management
Published: June 2024

Online vote may be a trend that's gaining momentum in fashionable society. it's nice potential to decrease structure prices and increase numerical quantity. It eliminates the necessity to print ballot papers or open polling stations—voters will vote from where there's an online association. Despite these advantages, on-line vote solutions square measure viewed with an excellent deal of caution as a result of they introduce new threats. one vulnerability will result in large-scale manipulations of votes. Electronic vote systems should be legitimate, accurate, safe, and convenient once used for elections. nevertheless, adoption could also be restricted by potential issues related to electronic vote systems. Blockchain technology came into the bottom to beat these problems and offers decentralized nodes for electronic vote and is employed to provide electronic vote systems primarily as a result of their end-to-end verification benefits. This technology may be a stunning replacement for ancient electronic vote solutions with distributed, non-repudiation, and security protection characteristics. the subsequent article offers an summary of electronic vote systems supported blockchain technology. Keywords: High Accessibility, Immutability, Greater Liquidity.
AIR MAP- Deep Learning Prediction in Air Quality for Smarter Decisions
Authors:   Hyderabad Institute of Technology and Management, Tejaswi Madduri
Published: June 2024

Air Map is a forward-thinking web application which provides customers with up-to date information about air quality and weather forecasting. Pollutant levels and weather are predicted via deep learning model using historic data extracted carefully from sensors. This dataset undergoes data pre-processed to ensure its accuracy and trained by deep learning model on this vast data to predict the future parameters with high accuracy. These trends can be better perceived by using visualization tools such as time-series plot and heat maps for better understanding for customers. This application can be customized to receive timely notification on percentage of hazardous gases and total Air Quality index up to time. This application act as a catalyst for environmental awareness for both public and government, by this forecasting citizens will understand the air quality and weather patterns and for government this visualization will help to understand the weather and air quality patterns to mitigate air pollution by applying norms. This application works towards a healthier and more sustainable future. Key Words: Air Quality Index, Sensor Data, Deep Learning Models, LSTM, Statistical analysis and metrices, Air Map integration
Diagnosis of Polycystic Ovary Syndrome (PCOS) using Deep Learning and Classification Technique’s
Authors:   P.E.S’s Modern College of Engineering Pune, India, Kadam, Mr. Saurabh
Published: June 2024

Polycystic Ovary Syndrome (PCOS) is a disorder which affects women worldwide. One can know whether she is affected by PCOS that is it is characterized by irregular menstrual cycles, high blood pressure, obesity, fatigueness, etc. Timely Diagnosis of PCOS is very crucial for effectively managing and preventing associated complications. The advancements in artificial intelligence shows promise in diagnosis of medical tasks. In this paper we propose a novel approach for diagnosis of PCOS using deep learning & classification techniques. We provide analysis of various machine learning algorithms like svm, naïve Bayes, random forest and decision tree & deep neural network architecture for identification of PCOS based on clinical and biochemical features. Our results are mostly useful for the medical experts which helps them by reducing the diagnostic delays caused thereby providing an improved patient care and management. Keywords: Polycystic ovary syndrome, deep learning, classification techniques, healthcare, PCOS diagnosis.
BREAST CANCER AND ITS TREATMENTS
Authors:   Department Of Computer Science and Engineering  IIMT College Of Engineering, Chaudhary Kartikey
Published: June 2024

Breast cancer remains one of the most prevalent and challenging malignancies affecting women worldwide, accounting for a significant proportion of cancer-related morbidity and mortality. This overview delves into the multifaceted aspects of breast cancer. Risk factors for breast cancer are multifactorial, encompassing genetic, environmental, and lifestyle elements. Genetic mutations, particularly in BRCA1 and BRCA2 genes, significantly elevate the risk of developing breast and ovarian cancers. Additional risk factors include age, family history, early menarche, late menopause, obesity, alcohol consumption, and exposure to radiation. Diagnostic approaches for breast cancer emphasize early detection, which is pivotal for favorable outcomes. Standard screening methods include mammography, which remains the gold standard, complemented by ultrasound and magnetic resonance imaging (MRI) for more detailed visualization. Biopsies. In conclusion, breast cancer management requires a comprehensive, multidisciplinary approach integrating early detection, personalized treatment strategies, and supportive care. Advances in medical research and technology hold promise for improving patient outcomes, but continued efforts are needed to overcome existing barriers and ensure equitable access to care for all patients. Keywords: Python, TensorFlow, Jupyter Notebook or any Python IDE, Google Cloud
THE ROLE OF CONTENT MARKETING IN BUILDING CUSTOMER ENGAGEMENT
Authors:   NIMS School of Business Studies  NIMS University Jaipur, Rajasthan, CHAKRAVARTI *Dr. SHIVOM
Published: June 2024

Content marketing is a strategic marketing approach focused on creating in distributing valuable, relevant,consistent content to attract and retain a clearly define audience and ultimately to drive profitable customer action.Companies today are well aware of all the tactics to gain a higher spot on the search engine search result for which they continuously update their websites. This gaining of higher position on search engine comes as a result of good content marketing . Content marketing is not only restricted to promotion of products. It is beyond that as it also leads to brand awareness and brand engagement .Content marketing helps in providing detailed information to the customer and thus is a helpful tool for creating customer engagement .
Brucellosis : Emerging and Re-Emerging Zoonosis
Authors:   M.Sc. Microbiology Kalinga University Raipur, Ganguly Swati
Published: June 2024

More than 500,000 human cases of brucellosis are reported each year, with Brucella melitensis being the primary cause. It is still one of the most prevalent zoonotic illnesses in the world. The CDC has categorized the bacterial pathogen as a category (B) disease, meaning that it possesses the potential to evolve into a bioweapon. It is thought that the most prevalent infections obtained in laboratories are Brucella species. The emergence or reappearance of new foci causes brucellosis to constantly shift in geographic distribution. Animals and humans are affected by the disease everywhere, with the exception of nations where bovine brucellosis has been completely eradicated. Due to brucellosis, there are significant economic losses incurred globally in both animal production and human health. All of the region's countries have recorded cases of leishmaniasis, hepatitis A virus (HAV), and hepatitis E virus (HEV). Dengue fever, H5N1, Chikungunya, and Crimean Congo hemorrhagic fever (CCHF) have all been spreading geographically and in quantity as well as in frequency. Public health is still concerned about Middle East respiratory syndrome (MERS), which was first discovered in this area in 2012. In certain of the countries, poliomyelitis, leishmaniasis, cholera, and diphtheria control are difficult to maintain. Furthermore, just a few of the region's nations are home to Rift Valley fever (RVF) and Alkhurma hemorrhagic fever (AHF). Furthermore, not much is known about the actual state of tularemia, Q fever, and the plague. In conclusion, EIDs and RIDs are widespread in the majority of the region's nations and may continue to spread there. Enhancing regional capacities and capabilities is essential for both preventing disease outbreaks and providing sufficient resources and expertise to contain them. Keywords: MERS-CoV, CCHF, Zoonosis, Emerging Infectious Diseases, Neglected Tropical Diseases, Eastern Mediterranean Region Copyright © 2022 Kerman University of Medical Sciences is the publisher of the author or authors. The Creative Commons Attribution License, which allows for unlimited use, distribution, and reproduction in any format as long as the original work is properly attributed, governs the dissemination of this open-access article. Key Words: AIDS, West Nile fever, and Legionnaires’ diseaseZoonosis, MERS-CoV, CCHF, neglected tropical diseases, emerging infectious diseases, and the Eastern Mediterranean region.
A Survey of 802.1X: Securing Network Access in the Modern Age
Authors:   Information Science and Engineering RV College of Engineering, Kumar S Vignesh
Published: June 2024

The advent of wireless and wired net- works has revolutionized the way we communicate and access information, yet it has also introduced new secu- rity challenges. Among the various pro- tocols designed to mitigate these chal- lenges, 802.1X stands out as a corner- stone for securing network access. This paper presents a comprehensive sur- vey of the 802.1X protocol, focusing on its role in modern networking, the types of Extensible Authentication Proto- col (EAP) methods it supports, and the security vulnerabilities and mitigation strategies associated with its implemen- tation. Through an examination of com- mon security vulnerabilities, such as de- nial of service (DoS) attacks, man-in-the- middle (MitM) attacks, and session hi- jacking, the paper highlights the impor- tance of robust authentication mecha- nisms in safeguarding network integrity. Furthermore, the paper delves into real- world applications and case studies, il- lustrating the practical implications of 802.1X in securing critical infrastructure like silent clients. As technology contin- ues to evolve, the paper also explores fu- ture directions and research opportuni- ties, emphasizing the need for ongoing innovation to address emerging threats and leverage new technologies effec- tively. This survey serves as a valuable re- source for network administrators, secu- rity professionals, and researchers inter- ested in understanding the current state of 802.1X and its significance in securing network access in the modern age.