bluuebunny/crossref_metadata_2025 huggingface dataset:
Structuring the Decision-Making Process Using Quantitative Options Valuation
Authors: Fouda Ahmed
Published: April 2024

This study focuses on enhancing decision-making processes in the construction industry by investigating quantitative decision-making models. The construction industry is known for its diverse projects and inherent risks. Effective decision-making is crucial for project success, but it faces challenges due to various factors. The research explores biases and heuristics in decision-making, specifically in entrepreneurial and managerial contexts, with a focus on two biases: overconfidence and representativeness. Data collection involved surveys administered to entrepreneurs and managers in prominent industrial sectors. The surveys measured the levels of overconfidence and representativeness in decision-making. Additionally, the study examined commonly used decision-making models in construction, including multi-criteria decision analysis, decision support systems, decision trees, and mathematical optimization techniques. The objective was to gain insights into applying quantitative models and improve the understanding of decision-making processes in construction projects. The survey achieved a response rate of 54%, and participating managers were categorized based on their two-digit Standard Industrial Classification (SIC) codes, specifically in the 1300, 3400, 3500, 3600, and 3800 categories. Rigorous statistical analyses were conducted to evaluate potential response bias. Comparing usable responses to non-respondents using chi-square tests, no significant evidence of bias was found (χ^2 (4) = 3.973, p = .59). Moreover, a further analysis explored potential response bias across the broader set of five two-digit SIC categories, and again, no significant evidence of bias was observed (χ^2 (5) = 1.782, p = .878). The findings of this study contribute to the improvement of decision-making in construction projects and provide valuable insights into the practical application of quantitative models. By addressing biases and exploring effective decision-making approaches, this research aims to enhance project success within the complex construction industry.
Efficacy of 4% articaine with 1:100000 epinephrine versus 2% lignocaine with 1:100000 epinephrine in infiltration for extraction of maxillary premolars for orthodontic correction – A prospective, randomized, double-blind, crossover study
Authors: Gokul Thulasi , Datchinamoorthy Anusha , Nagireddy Uma , Vani Jhansi
Published: April 2024

Background: Unlike other amide local anesthetics (LAs), articaine has better lipid solubility and potency. Very few studies have been done on comparing articaine with other LAs as buccal infiltration among the participants requiring paired extraction of maxillary premolars but limitations of those studies include smaller sample size, lack of washout periods, and diversity in study designs.

Aims and Objectives: This study compares the anesthetic efficacy of 4% articaine (1:100,000 epinephrine) with 2% lidocaine (1:100,000 epinephrine) as buccal infiltration.

Materials and Methods: This is a randomized double-blinded crossover study conducted at the Department of Oral and Maxillofacial Surgery in collaboration with the Department of Pharmacology, SRIHER, Chennai. This study was done on 59 participants on an outpatient basis. The selected participants received 4% articaine or lignocaine with epinephrine (1:100000) in the mucobuccal fold at the maxillary area during their first visit and the same individual received the other local anesthetic drug on the other side in the same area during the second visit, i.e., 1 week from the date of the first visit. All the statistics were calculated using the software Statistical Package for the Social Sciences 16 version. For all primary and secondary outcomes in the study, the Mann–Whitney U-test was employed to compute the mean and standard deviation.

Results: The total mean age of the participants included was 21.69. The volume of drug required was 1.578 ± 0.2760 mL for articaine and 2.2068 ± 0.0984 ml for lignocaine. The onset time was 30–45 s with articaine and 75–90 s with lignocaine. A decrease in pain scores was seen in the articaine group compared to the lignocaine group.

Conclusion: This study showed better efficacy of articaine in comparison to lignocaine. Articaine may replace lignocaine in orthodontic corrections with its higher efficacy, faster action, and longer duration.
Perfil de las Revistas Científicas Electrónicas en Angola
Authors: Bandeira Vivaz , De Araújo Paula Carina
Published: April 2024

Scientific journals play an important role as a channel for communicating scientific research results around the world. In recent years, the number of electronic scientific journals in Angola has increased, despite their low visibility internationally. The objective of this article is to describe the profile of electronic scientific journals in Angola. This is an exploratory and documentary research, in which a total of 14 web pages of scientific journals were observed, using a form, containing a control list with the following items: year of creation, responsible institution, area of knowledge, periodicity of publications, last publication, indexing in databases, use of ORCiD by authors and information on the date of submission, acceptance and publication of originals. The results indicate that more than half of the scientific journals are multidisciplinary in nature and were created between 2012 and 2019; They are linked to Higher Education Institutions and are indexed in at least one database, with biannual publications. However, the study also shows that the majority have not published for at least a year. It is concluded that the profile of electronic scientific journals in Angola reflects the country's academic and scientific context, with many challenges to be overcome in this area.
Helsädesskörd av grödor sådda sommar och höst : avkastning, näringsinnehåll och ensileringsegenskaper
Authors: Hallin Ola , Dahlström Frida , Nadeau Elisabet , Jakobsson John , Danielsson Dan-Axel
Published: April 2024

Det torra och varma året 2018, skördades en större andel spannmål som helsäd för att täcka grovfoderbehovet. Generellt blev tröskningen tidigare än normalt det året. Tidig skörd ger möjligheten att så ytterligare en gröda samma år med sen skörd på hösten eller nästkommande vår och därmed totalt sett få en större mängd grovfoder. Syftet med detta projekt var att undersöka möjligheterna att i Västra Götaland att odla och skörda grovfoder från grönråg och andra grödor, när sådden sker efter tidig spannmålsskörd. För att undersöka grödornas produktionsförmåga och näringsmässiga kvalitet såddes ett konventionellt fältförsök på Rådde gård Länghem i Västra Götaland med 27 försöksled. I fältförsöket ingick sju grödor (grönråg, höstvete, havre, korn, westerwoldiskt rajgräs, höstkorn och rågvete), tre såtidpunkter samt två skördesystem. En vallfröblandning såddes in i grödorna under våren 2021. I samband med helsädesskörd togs provmaterial ut från vissa försöksled för näringsanalys samt till ensileringsstudier. Dessutom genomfördes två fältdemonstrationer med undersökning av grönråg som bete eller grönfoder på Rådde gård i Länghem. Fältförsöket visade att när det finns behov av att skörda grovfoder på hösten gav havre och westerwoldiskt rajgräs med såtidpunkt i juli störst avkastning i kg torrsubstans. Störst total tsavkastning för grönråg blev vid sådd i september jämfört med juli och augusti. Av försöksleden med högst avkastning hade grönråg sådd juli och skördad 1 oktober betydligt högre smältbarhet jämfört med havre och westerwoldiskt rajgräs. Rågvete med såtidpunkt september gav störst avkastningar både som kärnavkastning vid tröskning samt som total mängd ts vid strategin med helsädesskörd jämfört med de tidigare såtidpunkterna juli och augusti. Tillsatsmedlet Xtrasil LP (saltbaserat preparat) gav högre halt vattenlösliga kolhydrater i ensilaget jämfört med ensilering utan tillsatsmedel eller med Xtrasil Bio Ultra (bakteriepreparat). Detta gällde vid alla tre undersökta skördetillfällen.
Investigating the Nature of Love: Mustansar Hussain Tarar’s Novel Piyar ka Pehla Shehar
Authors: Momina Afzal
Published: April 2024

The research investigated the nature of love by exploring the conflict between reason and passion as portrayed by Mustansar Hussain Tarar in Piyar ka Pehla Shehar through its protagonists by taking in view the Platonic theory of Eros. The research offered an analysis of the relationship between the main characters Sanan and Paskal and their ways of navigating through social and cultural dynamics in their romantic relationship. The study used qualitative methods and textual analysis to explore insight into the emotional challenges of romantic relationships by investigating the nature of love that the protagonist experienced. The research revealed that the character’s inclination despite being platonic in approach differs from Plato as they were deceiving each other in the guise of love. The author both affirmed and diverged from the Platonic ideal of love: He appeared of the view that love was solely not reserved for the beautiful or physically fit but was experienced regardless of physical appearance; however, the ideal love was experienced only for a short moment. Love eventually became a secondary emotion and selfish interests took precedence.
Impact of First Language (L1) on Second Language (L2) Pronunciation: A Case Study of Undergraduate ESL Learners in Pakistan
Authors: Rasheed Mahnoor
Published: April 2024

Language pronunciation is an indispensable part of the language learning process. It plays a substantial role in enhancing the communicative competence and performance of sound language learners. The learning of pronunciation is a very sensitive and complicated aspect of the English language classroom. However, all L1 students are not equally good at learning pronunciation. The research aims to explore the phonological features of L1 that influence the pronunciation of L2. Similarities and differences between the phonological systems of the L1 and L2 are also part of this study. The study discusses theory and personal observations that classify the influence of L1 on L2. This research is significant because it highlights importance of acquiring the pronunciation of a second language. This study assesses the impact of L1 on the pronunciation of L2 using a quantitative data analysis approach and Transfer Hypothesis Theory. The Transfer Hypothesis Theory suggests that the skills and knowledge acquired in one language can transfer and influence the learning and use of another language. The result of this analysis provides valuable insights into the relationship between L1 and L2 and contributes to our understanding of the Transfer Hypothesis Theory.
Learning Through Story
Authors:   Professional Story-listener and Storyteller, Patterson Marymoore
Published: April 2024

Stories are how we make sense of facts and create meaning. However, in an academic and professional setting, it can be hard to know how to tell stories effectively, or even to identify what a story is. This paper explores a particular type of storytelling: the use of specific, personal moments to facilitate learning and transformation and to accomplish the telling of stories. The focus is primarily on the narrative arc and a subset of literary techniques that connect personal experiences to values in a way that engages experiential sensemaking for the audience. These are considered from the perspective of both storyteller and story listener. I use personal examples, as well as some drawn from the stories, techniques, and themes shown in other Advances in Peer-Led Learning (APLL) articles, to demonstrate how a few key descriptive techniques, narrative arcs, character archetypes, and plot types can all be applied in straightforward ways to enhance engagement and learning and result in good, successful, storytelling.
The Peer-Enabled Restructured Classroom (PERC): Harnessing the Power of Urban Students to Achieve Success in STEM Classrooms
Authors:   Hunter College, City University of New York, Bonner Sarah M. , Keiler Leslie S. , Mills Pamela
Published: April 2024

The Peer-Enabled Restructured Classroom (PERC) is an educational model for secondary school science and mathematics classrooms that was developed in New York City public schools under the auspices of a National Science Foundation-funded Math Science Partnership (MSP) between the City University of New York (CUNY) and the New York City Department of Education (NYC DOE). PERC successes demonstrate that middle-performing students in urban, often low-performing schools can be an integral resource to support academic reform and the success of all students. The origins, development, and implementation of PERC in multiple New York City public schools are reviewed in this retrospective. Research studies on the effects of PERC on the students, near-peer leaders, and teachers in the classrooms are presented. PERC demonstrates that restructuring classrooms to engage students deeply in peer instruction can empower students, including those from low-income, often under-resourced school communities, to become student leaders and achievers.
Impact of ESG Score on Stock Performance in Banking and IT Sector
Authors:   SCHOOL OF COMMERCE, FINANCE AND ACCOUNTANCY  CHRIST (DEEMED TO BE UNIVERSITY),  DELHI NCR, Kumar Neelesh
Published: April 2024

The awareness regarding Environmental, Social and Governance (ESG) has grown a lot in the recent past years. The paper mainly aims at investigating whether there is an existing relationship between the disclosure by the companies from the industry of Banking and Information Technology based upon Environmental, social and governance framework and the stock performance of the companies of the same industry. The study took variable as the ESG Score and annual share price of the top 5 companies each of Banking and Information Technology present in the NSE ESG INDEX between the FY2014 to FY 2023. The study has used correlation and ANNOVA to analyse the impact that ESG score has upon the share prices of the target companies. We have attained observation through our studies that the relationship that exists between the SDG score of 8 companies out of the 10 companies selected as a sample is significantly positive. This study mainly aims to determines the relationship amongst ESG disclosures and stock prices and if the relationship is positive, negative or neutral. Keyword - ESG disclosure, ESG index, ESG Score, Stock Price, Firm performances
Real Time Driver Drowsiness Detection Using Visual Behavior
Authors:   Institute of Aeronautical Engineering  Hyderabad, India, Teja , Bandaru Varun
Published: April 2024

One of the main factors contributing to traffic accidents is falling asleep behind the wheel. Although it cannot be totally avoided, this model can help prevent it. A system called drowsiness detection keeps drivers from nodding off while operating a vehicle. Both passengers and other drivers will be safer thanks to this technology. The algorithm can monitor the space between the driver's eyes by employing an infrared camera in front of the vehicle. The technology sounds an alert to alert the driver to take control of the vehicle when the region comes under curtain measurement for a number of consecutive frames. The alarm goes off when the driver opens their eyes again and the area passes above the safe zone. As a result, this may wake up the motorist and save lives. The algorithm's accuracy is 96%.
ChArTeR: Pocket-Friendly Filming Equipment Rental Web- App with Voice Companion U.I. with the help of A.I. and M.L.
Authors:   Modern Education Society’s Wadia College of Engineering (MESWCOE), J. R. Pansare
Published: April 2024

Introducing ”Charter”, a web-app, that has revolutionized various groups, including Students (B. F. A.), Young YouTubers, and Construction Workers. Powered by the innovative ”Voice Companion U. I.” executing the role of a ”Salesman”, A ”Chatbot” replacing the traditional Toll-Free No. ”Call-centre systems”, have made it a seamless and user-friendly experience. And ”Order Tracking System” for those who wish to have a Home Delivery. The primary objective is to create an efficient and secure user experience. Key words: V.C.U.I.:Voice Companion User Interface; BFA:Bachelor of Fine Arts; Artificial Intelligence; XAMPP; Blockchain; Two classes of customers.
CARDIOVASCULAR DISEASES DETECTION IN ECG IMAGES USING DEEP LEARNING METHODS
Authors:   Electronics and Communication Engineering RVR&JC College of Engineering (Autonomous)  (Affiliated to Acharya Nagarjuna University)  Guntur,India, Anitha Mallipuram
Published: April 2024

Heart diseases are the leading cause of death world- wide. So,detecting and identifying them earlier can save many lives.Electrocardiogram (ECG) is a common and inexpensive tool for measuring the electrical activity of the heart and is used to detect cardiovascular disease.In this paper, the power of deep learning techniques was used to predict the four major cardiac abnormalities: abnormal heartbeat, myocardial infarction, his- tory of myocardial infarction, and normal person classes using the public ECG images dataset of cardiac patients. First, the preatrained models, namely SqueezeNet, AlexNet, proposed CNN and Xception were proposed for abnormality prediction.Second, these models were used as feature extraction tools for traditional machine learning algorithms, namely support vector machine, K- nearest neighbors, decision tree, random forest, and Na¨ıve Bayes. According to the experimental results, the performance metrics of the Xception model outperform the exciting works; it achieves 99.5% accuracy, 99.5% recall, 99.5% precision, and 99.5% F1 score. Moreover, when the Xception model is used for feature extraction, it achieves the best score of 99.8% using the RF and DT algorithms. Index Terms—Cardiovascular, deep learning, electrocardio- gram (ECG) images, feature extraction, machine learning, trans- fer learning.
Plant Disease Detection App Using Convolutional Neural Network
Authors:   Department of Electronics and Telecommunications Engineering  Thakur College of Engineering and Technology, Mumbai, Maharashtra, India, Patekar, Shruti
Published: April 2024

Crop diseases pose significant challenges to the agricultural sector, resulting in substantial production losses and economic setbacks. The efficacy of conventional disease diagnosis techniques, such optical examination of plant leaves, is constrained. It is imperative to improve agricultural disease detection, monitoring, and prediction in order to address this problem. This work offers a mobile-based system that uses the plant-DOC Dataset to automate the diagnosis of plant leaf diseases. The system is powered by machine learning (ML) and computer vision. Deep learning algorithms, in particular Convolutional Neural Networks (CNNs), are used in the suggested model. CNNs are excellent at identifying diseases in plants and crops. Finding the plant's sickness is the aim of this application. Additionally, image processing can be used to detect the disease type, the appropriate pesticide, and to alert farmers so that prompt action can be performed. The whole process involves gathering plant images, preprocessing them by resizing, normalizing, and augmenting, segmenting if necessary, extracting features, selecting, and training a CNN model, evaluating its performance, and using it to detect plant diseases. In this paper, we have successfully developed both the frontend and backend components for integration into our proposed model, accompanied by corresponding screenshots showcased within the document. Key Words: plant leaf diseases, agriculture, mobile app, computer vision, machine learning, deep learning, Convolutional Neural Networks.
Contribution of Social Media Marketing to Genz’s Buying Behavior
Authors: Sharma Chetan
Published: April 2024

This study has been further undertaken to investigate the hitherto ignored areas of the impact of social media advertising on Generation Z (Gen Z), especially in terms of their buying behavior. Despite a plethora of research, there are still areas that require further exploration, such as Gen Z’s preferred social media platforms, their level of trust in user-generated content, the effectiveness of targeted ads, and the impact of micro-influencers. Moreover, there is a dearth of research on how social media affects Gen Z’s social, emotional, and academic development. To bridge these gaps, an all-encompassing research methodology has been proposed. A descriptive research design has been adopted to study and describe Gen Z’s existing buying behaviour in the context towards the social and media marketing process. It revolves around Gen Z group in India, aged between 10 and 30 years old. To name a few: simple random sampling, systematic random sampling, and cluster sampling. The data collection methods include surveys, interviews, and observations. The proposed analytical tools include descriptive statistics, percentage analysis, t-tests, and linear regression, with potential software choices such as SPSS, Excel, Google Analytics, and Tableau. The research objectives include investigating the level of trust in user-generated content, identifying the factors that foster brand loyalty, and examining the impact of social media into the social, emotional, and academic as well as the growth among Gen Z. In addition, this study has conducted a survey targeting Gen Z from various demographics to get to know deeper about their buying behaviour. The results of this survey will be presented later in the study. In summary, this study aims to shed light over the intricate relationship between the social media marketing and the Gen Z’s buying behaviour. The insights gained from this research will provide valuable information for marketers and businesses to develop effective strategies to engage with this demographic.
IoT Based Smart Trolley for Auto Billing
Authors:   Student, Department of Computer Engineering, Sinhgad Academy Of Engineering, Kondhwa, Pune, Maharashtra, India., Inamdar Omera Musahaf Ahemad
Published: April 2024

This paper proposes the development of a Smart Trolley system aimed at enhancing the shopping experience by automating the billing process. The system integrates Raspberry Pi, a low-cost, credit-card-sized computer, and RFID (Radio-Frequency Identification) technology to create an efficient and seamless checkout process for customers in retail environments. The Smart Trolley employs RFID tags attached to products and an RFID reader mounted on the trolley to identify items as they are placed inside. The Raspberry Pi processes the RFID data and maintains a running total of the items in the trolley. Additionally, it communicates with the store's database to retrieve product information and pricing. Through this integration, the Smart Trolley eliminates the need for manual scanning of each item at checkout, reducing waiting times and enhancing overall efficiency. Moreover, the system provides real-time updates on the total bill, allowing customers to track their expenses as they shop. This paper outlines the design, implementation, and testing of the Smart Trolley system, demonstrating its effectiveness in automating the billing process while improving the shopping experience for customers. The proposed system holds promise for revolutionizing retail operations, offering a glimpse into the future of smart, technology-driven shopping solutions. Key Words: Autobilling, Rasberry Pi, RFID(EM-18), LCD, Smart Shopping, IoT.
MODELLING AND ANALYSIS OF CNC MILLING MACHINE BED WITH COMPOSITE MATERIALS
Authors:   B. Tech Final Year Students, Dept of Mechanical Engineering, Visakha Institute of Engineering and Technology., Teja A.Ravi
Published: April 2024

The materials utilized as a part of a machine device have an unequivocal part in deciding the efficiency and exactness of the part made in it. The regular basic materials utilized as a part of exactness machine apparatuses, for example, cast iron and steel at high working velocities create positional mistakes because of the vibrations moved into the structure. Quicker cutting rates can be procured just by structure which has high firmness and great damping attributes. We know that by experiences life of a machine is inversely proportional to the levels of vibration that the machine is subjected. The further procedure is completed to experience the distortion, normal recurrence and removal utilizing Static examination, Modal investigation and Harmonic individually. Since the bed in machine apparatus assumes a basic part in guaranteeing the exactness and precision in segments. Is a standout amongst the most critical apparatus structures which have a tendency to retain the vibrations coming about because of the cutting operation. To break down the bed for conceivable material changes that could build solidness, diminish weight, improve damping characteristics. In this paper constant load is applied on a bed with and without Nanocoating on the material and with composite materials. Graphene is used for coating basing on strength and thermal properties. Modelling of the bed was carried out in SolidWorks and ANSYS is used for structural analysis. By comparing the stress distribution and deformation in the bed by changing its material with the previous. Finally this thesis summarizes the suitable materials can be used as machine bed material. Key words: Machine Tool, Machine Bed, Stiffness, Damping, SOLID WORKS, Ansys
Ethical Considerations in Artificial Intelligence: Addressing Bias and Fairness in Algorithmic Decision-Making
Authors:   Research Scholar & Mansarovar Global University, Sehore (M.P), Morchhale Yogesh
Published: April 2024

The expanding use of artificial intelligence (AI) in decision-making across a range of industries has given rise to serious ethical questions about prejudice and justice. This study looks at the moral ramifications of using AI algorithms in decision-making and looks at methods to combat prejudice and advance justice. The study investigates the underlying causes of prejudice in AI systems, the effects of biased algorithms on people and society, and the moral obligations of stakeholders in reducing bias, drawing on prior research and real-world examples. The study also addresses new frameworks and strategies for advancing justice in algorithmic decision-making, emphasizing the value of openness, responsibility, and diversity in dataset gathering and algorithm development. The study concludes with suggestions for further investigation and legislative actions to guarantee that AI systems respect moral standards and advance justice and equity in the processes of making decisions. Keywords Ethical considerations, Artificial intelligence, Bias, Fairness, Algorithmic decision-making, Ethical implications, Ethical responsibilities, Stakeholders, Bias in AI systems, Impact of biased algorithms, Strategies for addressing bias, Promoting fairness, Algorithmic transparency.
Augmented Virtual Mouse System with Enhanced Gesture Recognition
Authors:   Department of ECE, R.V.R. & J.C. College of Engineering, Kotari, Gopinadh
Published: April 2024

This paper presents the development of a contactless system designed to serve as an alternative to the traditional physical input device, such as a computer mouse or touchpad, utilized in human-computer interaction. The proposed system aims to offer a more convenient and hygienic way of interacting with computer devices by using hand gestures instead of physical contact with the mouse system or machine interface. The system has potential applications in various fields including healthcare, public interfaces, and gaming. Existing gesture-controlled input systems lack a comprehensive touchless and accurate system capable of performing almost every operation of a physical mouse. The proposed approach involves recognising the hand and its gestures. Hand tracking and dynamic gesture recognition are incorporated to ensure a smooth and hassle-free user experience during interaction. The efficient Mediapipe framework is used to detect and track hand movements from video frames captured through a computing device Camera.Computer vision algorithms are employed for gesture recognition within each frame, along with Python libraries for processing gestures. Sufficient gestures are added into the system, enabling it to execute a wide range of mouse functions with substantial precision metrics. This paper provides details regarding the development and overall performance of the system. Key Words: hands, mouse, contactless, gesture, OpenCV, mediapipe
Text to Braille Converter with Audio Output for Visually Impaired Person
Authors:   M.tech  , Electronics and Telecommunication  Engineering, PVPIT Budhgaon ,Sangli, Maharashtra, India., Munde Miss. Mrunali
Published: April 2024

A system of touch reading and writing for the blind that uses raised dots to represent the alphabet's letters is called braille, and it is an essential tool for communication. It is composed of six impressions, each of which stands for a different alphabetic letter. It also includes matching combinations of representations for punctuation marks. The standard method for reading braille is to move your fingers over each line from left to right in order to use your sense of touch. Compared to sign language, braille is far more difficult to learn since there are numerous combinations of the six raised dot impressions that can be made. Braille text to audio output Communication between those parties is facilitated by the conversion mechanism. who are blind but do not know how to read braille, and those who do.This device uses a software platform that translates text input into audio and Braille characters. The programming language used in the platform is Python, which translates text input into braille code. Key Words: Braille code,Text to speech conversion, visually impaired, python software
A Study on Impact of Hybrid Work on Employee Productivity in Select IT Organizations of NCR
Authors:   M.tech  , Electronics and Telecommunication  Engineering, PVPIT Budhgaon ,Sangli, Maharashtra, India., Nagpal, Tanya
Published: April 2024

A hybrid work is a combination of both remote and in-person work, where employees can work from the office, home, or other locations. This type of work design has become more and more popular in recent years due to advances in technology and changing work preferences. The purpose of this study is to investigate the impact of hybrid work on employee productivity in select IT organizations of the National Capital Region (NCR). The employees of select IT companies in the NCR who have experienced a shift to a hybrid work will be the focus of the study. Through surveys and interviews with employees and managers, the study will gather data. The studies will gather information on representative efficiency, work fulfilment, balance between serious and fun activities, and other important elements. Keywords: Employee Productivity, Hybrid Work, NCR, Delhi. Research Type: Research Paper
ACCIDENT DETECTION USING TENSOR FLOW AND CNN
Authors:   Students, Department of CSE(AI&ML), Raghu EngineeringCollege, Dakamarri (V), Bheemunipatnam, Visakhapatnam District, Pin Code: 531162., B Vaishnavi
Published: April 2024

Accident detection is a critical aspect of road safety management, with timely identification and response being paramount to minimizing casualties and damage. In this project, a comprehensive approach to accident detection utilizing Deep learning techniques is proposed. The system aims to automatically detect accidents in real time using information obtained from diverse sources like video feeds, sensor inputs, and audio signals. The project involves the development and implementation of Deep learning models trained on labeled datasets containing examples of accident and non-accident scenarios. Supervised learning techniques like classification, regression and advanced neural network architecture like convolution, recurrent neural network are considered to effectively process and analyze the data. The deployed system continuously monitors the environment, processing incoming data streams to identify patterns indicative of accidents. Upon detection, the system triggers appropriate response mechanisms, such as alerting emergency services or nearby vehicles, facilitating swift intervention. The project aims to contribute to road safety initiatives by providing a scalable and efficient solution for accident detection. Additionally, the insights gained from the data collected by the system can inform policymakers and urban planners in implementing measures to prevent accidents and improve overall road safety. Through this project, the students gain valuable experience in applying Deep learning techniques to address real-world challenges and contribute to societal welfare.
Design and Fabrication of an Air Purifier by Combining HEPA and Activated Carbon Filter
Authors:   Department of Mechanical Engineering, Theem College of Engineering, Boisar  401501, Mohinuddin Shaikh
Published: April 2024

The air purifier industry has seen a growth in terms of demand and sales lately. All credit goes to massive industrialization in developing countries such as India and China. As a result, a lot of research has been focused into the various methods of purifying air. The most harmful of the pollutants are PM 2.5 particulates and NOx emissions. The aim has been to bring down the costs without compromising on efficiency as efficient air purification is an expensive deal. This article presents a study of the current scenario of the problems of air pollution. Severity of the issues have been highlighted. A compilation of the most common and significant methods of purifying air such as those employing the use of HEPA filters, electrostatic smoke precipitators, activated carbon and UV light has been presented and their use in air purifiers manufactured by OEMs has been mentioned. Some of the most modern methods of purifying air such as those using transparent PAN filters, photochemical materials, soy proteins and silk Nano fibrils have been studied and reviewed. It has been found that these methods provide an attractive and economical pathway of filtering out PM 2.5 when compared to the conventional HEPA filters Keywords: Air Purifier, PM 2.5, NOx Emissions, Bio Materials
Incident Response Simulation Framework
Authors:   AIT-CSE(Information Security) Chandigarh University  Gharuan, Punjab, India, Mathur Aananaya
Published: April 2024

Incident response is a pivotal security role in organizations that aimed to manage incidents quickly and economically. Cybersecurity Incident Response is a valuable development in the mitigation and operational security and data protection methods to safeguard employees and their assets. Cybersecurity awareness training is a powerful approach that leverage companies to cultivate employees into developing their knowledge and awareness of best practices and strategies for safeguarding sensitive data. Incident response is an emerging field due to the exceptional rise in the security breaches. The organizations need to implement such incident responses for the data breaches. The operational teams should be equipped with the hands-on experience of the incidents. The real-world scenarios must be used as a method to enhance the knowledge of the security team. The proposed system responds to such security demands generating an environment to test the security architecture, measure, track and report Cybersecurity KPIs as overall threat exposure to reduce exposure risk. The system is an educative framework for giving a real-world experience to the users and also test their ability and agility to respond to the incidents in the given time and correctly. Keywords—Incident response, Cybersecurity, data breaches, security
VOICE BASED EMAIL SYSTEM FOR BLIND
Authors:   Computer Engineering SAE, S.B Prof.. Ghawate
Published: April 2024

The Internet is one of the revolutionary achievements of the last decade of the twentieth century. The increase in internet usage and the unlimited opportunities it offers cause people to fully use internet technology today. With the introduction of the internet into our lives, communication and access to information have become easier. As the business world moves to the digital environment, keeping up with the times becomes more important for everyone. Email is one of the most widely used functions on the Internet . Besides ordinary users, blind people also encounter problems when using the Internet. While technologies such as screen readers and Braille keyboards make it easier to access a range of applications, they still have difficulty accessing much content. The email is important and they must rely on third party help. Therefore, the purpose of this article is to provide voice services to visually impaired people without the need for help or assistance from third parties. Over the past few years, many researchers have worked to create solutions that will allow visually impaired people to use special features of email.This email system can be used by blind people as well as illiterate. The system makes it easier for visually impaired people to send, receive, create and delete emails. . Key Words: Text to speech, Speech to text, Face recognition, Machine learning, Artficial Intelligence, Blind people
An Analysis of Cash Management with Reference to Deccan Industries
Authors:   Master of Business Administration,  Sathyabama University, Chennai, RAJAA, G.M.R.PRITHIV
Published: April 2024

Cash management refers to a broad area of finance involving the collection, handling, and usage of cash. It involves assessing market liquidity, cash flow, and investments. In banking, cash management, or treasury management, is a marketing term for certain services related to cash flow offered primarily to larger business customers. It may be used to describe all bank accounts (such as checking accounts) provided to businesses of a certain size, but it is more often used to describe specific services such as cash concentration, zero balance accounting, and automated clearing house facilities. Sometimes, private banking customers are given cash management services. Financial instruments involved in cash management include money market funds, treasury bills, and certificates. Cash management essentially means dealing with an organization's cash so its use provides the most value to the business. This can mean planning to keep the right amount of cash on hand as well as making plans for the cash the company does not need to have available for business operations. Cash managers plan for, protect, and invest cash assets. Basic parts of planning for efficient cash management include knowing how much cash should be on hand, efficiently handling cash transactions, and investing any surplus cash in securities that will grow the value of the company's money.
ISLAMIC EDUCATION AND SCHOOL WELL-BEING FOR ADOLESCENTS DURING THE COVID-19 PANDEMIC
Authors: Abdillah Hafizh Zain , Madjid Abd.
Published: April 2024

This article aims to explore the impact of Islamic education on the well-being of adolescents amidst the Covid-19 pandemic. The main focus is to shed light on how Islamic education can enhance school well-being for adolescents during these challenging times. The methodology employed in this article involves a comprehensive literature review. The findings highlight the positive effect of Islamic education in boosting the well-being of adolescents in the midst of the Covid-19 pandemic. It is crucial to emphasize the importance of implementing Islamic education to elevate students' school well-being. The implications of this study are anticipated to offer valuable insights for the advancement of Islamic education, particularly in the realm of Islamic psychology, as a viable solution to enhance school well-being among adolescents during the Covid-19 pandemic.
THE INFLUENCE OF FINANCIAL PERFORMANCE ON STOCK PRICES IN THE PROPERTY SECTOR AVAILABLE ON THE INDONESIAN STOCK EXCHANGE
Authors: Dela Angreni  , Muchriana Muchran  , Muhammad Khaedar Sahib
Published: April 2024

The aim of this research is to determine the effect of financial performance on share prices in the property sector listed on the IDX. The population in this research is property sector companies listed on the Indonesia Stock Exchange (BEI), with a sample of 12 companies. This research was conducted using quantitative methods with the variables used in this research being Financial Ratios which are proxied by Current Ratio (CR), Return On Assets (ROA), Price Earning Ratio (PER), and Debt Equity Ratio (DER). The data analysis techniques used in this research are the classical assumption test, multiple linear regression analysis, hypothesis testing with partial tests (t tests) and determination tests with the help of SPSS software. The results of this research show that the Current Ratio (CR) has a positive and significant effect on the share prices of property companies listed on the Indonesia Stock Exchange (BEI) for the 2018-2022 period. Which means that the level of a company's ability to fulfill all its short-term obligations has a positive and significant effect on share prices, Return On Assets (ROA) has a positive and significant effect on the share prices of listed property companies (BEI) for the 2018-2022 period. Which means that the return on assets of a company has a positive and significant effect on share prices, the Price Earning Ratio (PER) has a positive and significant effect on the share prices of property companies listed on the Indonesia Stock Exchange (BEI) for the 2018-2022 period. Which means PER has increased in share prices. And the Debt Equity Ratio (DER) has no effect on the share prices of property companies listed on the Indonesia Stock Exchange (BEI) for the 2018-2022 period. Which means that the level of a company's ability to use owner's capital has no effect on share prices.
Analysis of Village Fund Financial Ratios in Implementing Development Programs in Mata Allo Village, Bontomarannu District, Gowa Regency
Authors: Nurafni Nurafni , Muchriana Muchran  , Nasrullah Nasrullah
Published: April 2024

This research aims to find out how the financial ratio of village funds is in implementing development programs in Mata Allo village, Bontomarannu sub-district, Gowa district. This research uses descriptive quantitative analysis. By focusing on financial ratios of funds in implementing development programs. The types and sources of data used are primary data and secondary data obtained from observation, documentation and financial reports. The results of this research show that the activity ratio of Mata Allo Village has decreased every year from the 2021 to 2023 fiscal year. Because the activity ratio prioritizes larger village funds in routine operational expenditure, this results in a reduction in the share of capital expenditure so that funds from routine operational expenditure will be earmarked for providing facilities and infrastructure for the local community as village investment. The effectiveness ratio of Mata Allo Village can be categorized using effective criteria. This is shown by the average realization of revenue for 2021-2023 of 99.97%, which means that almost 100% of the targets to be achieved will be achieved. The efficiency ratio of the Mata Allo Village government is categorized as inefficient because the average amount obtained each year is 100 .13% of the achievements obtained indicate that the performance of the village government in managing PAD is inefficient as indicated by the results of the ratio calculation being above 100%. Allo Village Funds can be seen from the financial ratio of village funds which decreases every year.
Sociodemographic Characteristics Associated with Higher Numbers of COVID-19 Cases: A Neighbourhood Level Study in Ottawa, Ontario
Authors: Etowa Josephine , Ghose Bishwajit , Sano Yuji , Hyman Ilene , Mohamoud Hindia , Mbagwu Ikenna , Dabone Charles
Published: April 2024

INTRODUCATION: The complex interplay of the social conditions that one lives in and functions greatly influences the exposure to a certain health condition and the ability to recover from it. Reports on COVID-19 diagnosis, hospitalization and fatality reveal a clear sociodemographic divide with the marginalized communities bearing a disproportionately higher burden of the outcomes. The objectives of this study was to explore the neighbourhoods characteristics associated with higher COVID-19 rates in Ottawa by employing a social determinants of health framework that identifies critical intersections that impact of multi-level determinants of health.

METHODOLOGY: This study is based on data on 98 neighbourhoods in Ottawa that were collected from the Ottawa Neighbourhood study (ONS). The outcome variable was COVID-19 rate between March 09, 2020 - January 31, 2021. The independent variables were potentially vulnerable groups, Socioeconomic, neighbourhood, and demographic factors. We used descriptive and logistic regression methods to analyse the data.

RESULTS: The neighbourhoods that had relatively high number of rates COVID-19 cases were Hunt Club Park (909), Manor Park (831), Greenboro East (739), Overbrook McArthur (641), and Hunt Club Upper-Blossom Park (619); and the ones with lowest rates were Laurentian (44), Old Ottawa South (31), Richmond (22), Riverside South Leitrim (19), Wateridge Village (5), and Westboro (3). Multivariate regression analysis showed that neighborhood characteristics such as percentage of community health center within a 50m walk, higher population density, higher percentage of people taking public transportation to work, higher percentage of people with no high school diploma, perceived walkability score, low income prevalence, higher percentage of unsuitable housing,  households with multiple family,  refugee population, new comer during 2011-16, single parent family, and higher percentage of living alone were associated higher odds of above average COVID-19 rates.

CONCLUSION: These findings reflect a greater likelihood of COVID-19 infection in the neighbourhoods with poorer socioeconomic and living conditions such as low income, unhealthy housing, and higher population density. Addressing the challenges among the disadvantaged communities may help reduce the higher vulnerability and promote health conditions.
Exploring the Curriculum Reform of Ideological and Political Theory Courses in College's Specialized Courses -- Taking Pharmaceutical Marketing as Example
Authors: Luo Fen , Wang Yuan , Zhu Rong , Ren Xiao-Li
Published: April 2024

The implementation of curriculum ideological and political teaching reform plays an important role in the realization of the goal of moral education in colleges and universities. In the process of teaching reform of pharmaceutical marketing, we should fully explore the factors of value shaping, knowledge imparting and ability cultivation in professional courses, organically integrate education and talent cultivation, and cultivate high-quality pharmaceutical marketing talents.
The Problems and Solutions of Integrating Ideological and Political Education Into Professional Courses
Authors: Ren Xiao-Li , Liu Xiao-Yong , Ren Xiao-Ping , Sui Chao-Ya , Yang Jun-Xia
Published: April 2024

Course ideological and political education is a new curriculum and educational concept that has emerged with the development of the times. It is conducive to providing ideological and political education and moral education to students, aiming to integrate ideological and political education into the entire process of classroom teaching, and achieve a new perspective of all-round, whole process, and all staff education. The article analyzes the misunderstandings and existing problems in the understanding of ideological and political education in courses, and proposes specific solutions to provide reference for subsequent research.