bluuebunny/crossref_metadata_2025 huggingface dataset:
Using Hypothesis-Led Machine Learning and Hierarchical Cluster Analysis to Identify Disease Pathways Prior to Dementia: Longitudinal Cohort Study
Authors: Huang Shih-Tsung , Hsiao Fei-Yuan , Tsai Tsung-Hsien , Chen Pei-Jung , Peng Li-Ning , Chen Liang-Kung
Published: May 2023

Background

Dementia development is a complex process in which the occurrence and sequential relationships of different diseases or conditions may construct specific patterns leading to incident dementia.

Objective

This study aimed to identify patterns of disease or symptom clusters and their sequences prior to incident dementia using a novel approach incorporating machine learning methods.

Methods

Using Taiwan’s National Health Insurance Research Database, data from 15,700 older people with dementia and 15,700 nondementia controls matched on age, sex, and index year (n=10,466, 67% for the training data set and n=5234, 33% for the testing data set) were retrieved for analysis. Using machine learning methods to capture specific hierarchical disease triplet clusters prior to dementia, we designed a study algorithm with four steps: (1) data preprocessing, (2) disease or symptom pathway selection, (3) model construction and optimization, and (4) data visualization.

Results

Among 15,700 identified older people with dementia, 10,466 and 5234 subjects were randomly assigned to the training and testing data sets, and 6215 hierarchical disease triplet clusters with positive correlations with dementia onset were identified. We subsequently generated 19,438 features to construct prediction models, and the model with the best performance was support vector machine (SVM) with the by-group LASSO (least absolute shrinkage and selection operator) regression method (total corresponding features=2513; accuracy=0.615; sensitivity=0.607; specificity=0.622; positive predictive value=0.612; negative predictive value=0.619; area under the curve=0.639). In total, this study captured 49 hierarchical disease triplet clusters related to dementia development, and the most characteristic patterns leading to incident dementia started with cardiovascular conditions (mainly hypertension), cerebrovascular disease, mobility disorders, or infections, followed by neuropsychiatric conditions.

Conclusions

Dementia development in the real world is an intricate process involving various diseases or conditions, their co-occurrence, and sequential relationships. Using a machine learning approach, we identified 49 hierarchical disease triplet clusters with leading roles (cardio- or cerebrovascular disease) and supporting roles (mental conditions, locomotion difficulties, infections, and nonspecific neurological conditions) in dementia development. Further studies using data from other countries are needed to validate the prediction algorithms for dementia development, allowing the development of comprehensive strategies to prevent or care for dementia in the real world.
Assessing the Effect of Nonvisual Information Factors in Pandemic-Related Video Communication: Randomized Controlled Between-Subjects Experiment
Authors: Lungu Daniel Adrian , Røislien Jo , Berg Siv Hilde , Smeets Ionica , Shortt Marie Therese , Thune Henriette , Brønnick Kolbjørn Kallesten
Published: May 2023

Background

Videos have been an important medium for providing health and risk communication to the public during the COVID-19 pandemic. Public health officials, health care professionals, and policy makers have used videos to communicate pandemic-related content to large parts of the population. Evidence regarding the outcomes of such communication, along with their determinants, is however limited.

Objective

The aim of this study was to test the impact of nonvisual information factors of video communication on 4 outcomes: trust, comprehension, intentions, and behavior.

Methods

Twelve short health communication videos related to pandemics were produced and shown to a large sample of participants, applying a randomized controlled between-subjects design. Three factors were included in the creation of the videos: the topic (exponential growth, handwashing, and burden of pandemics on the health care system), the source (expert and nonexpert), and a call to action (present or absent). Participants were randomly assigned to 1 video intervention, and 1194 valid replies were collected. The data were analyzed using factorial ANOVA.

Results

The 3 pandemic-related topics did not affect trust, comprehension, intentions, or behavior. Trust was positively influenced by an expert source (2.5%), whereas a nonexpert source instead had a positive effect on the proxy for behavior (5.7%) compared with the expert source. The inclusion of a call to action had a positive effect on both trust (4.1%) and comprehension (15%).

Conclusions

Trust and comprehension in pandemic-related video communication can be enhanced by using expert sources and by including a call to action, irrespective of the topic being communicated. Intentions and behavior appear to be affected to a small extent by the 3 factors tested in this study.

International Registered Report Identifier (IRRID)

RR2-10.2196/34275
Efficacy of Neck-Specific Exercise With Internet Support Versus Neck-Specific Exercise at a Physiotherapy Clinic in Chronic Whiplash-Associated Disorders: Multicenter Randomized Controlled Noninferiority Trial
Authors: Peterson Gunnel , Peolsson Anneli
Published: May 2023

Background

Neck-specific exercises (NSE) supervised by a physiotherapist twice a week for 12 weeks have shown good results in chronic whiplash-associated disorders (WADs), but the effect of exercise delivered via the internet is unknown.

Objective

This study examined whether NSE with internet support (NSEIT) and 4 physiotherapy sessions for 12 weeks were noninferior to the same exercises supervised by a physiotherapist twice a week for 12 weeks (NSE).

Methods

In this multicenter randomized controlled noninferiority trial with masked assessors, we recruited adults aged 18-63 years with chronic WAD grade II (ie, neck pain and clinical musculoskeletal signs) or III (ie, grade II plus neurological signs). Outcomes were measured at baseline and at 3- and 15-month follow-ups. The primary outcome was change in neck-related disability, measured with the Neck Disability Index (NDI; 0%-100%), with higher percentages indicating greater disability. Secondary outcomes were neck and arm pain intensity (Visual Analog Scale [VAS]), physical function (Whiplash Disability Questionnaire [WDQ] and Patient-Specific Functional Scale [PSFS]), health-related quality of life (EQ-5D-3L and EQ VAS), and self-rated recovery (Global Rating Scale [GRS]). The analyses were conducted on an intention-to-treat basis and with the per-protocol approach as sensitivity analyses.

Results

Between April 6, 2017, and September 15, 2020, 140 participants were randomly assigned to the NSEIT group (n=70) or the NSE group (n=70); 63 (90%) and 64 (91%), respectively, were followed up at 3 months, and 56 (80%) and 58 (83%), respectively, at 15 months. NSEIT demonstrated noninferiority to NSE in the primary outcome NDI, as the 1-sided 95% CI of the mean difference in change did not cross the specified noninferiority margin (7 percentage units). There were no significant between-group differences in change in NDI at the 3- or 15-month follow-up, with a mean difference of 1.4 (95% CI –2.5 to 5.3) and 0.9 (95% CI –3.6 to 5.3), respectively. In both groups, the NDI significantly decreased over time (NSEIT: mean change –10.1, 95% CI –13.7 to –6.5, effect size=1.33; NSE: mean change –9.3, 95% CI –12.8 to –5.7, effect size=1.19 at 15 months; P<.001). NSEIT was noninferior to NSE for most of the secondary outcomes except for neck pain intensity and EQ VAS, but post hoc analyses showed no differences between the groups. Similar results were seen in the per-protocol population. No serious adverse events were reported.

Conclusions

NSEIT was noninferior to NSE in chronic WAD and required less physiotherapist time. NSEIT could be used as a treatment for patients with chronic WAD grades II and III.

Trial Registration

ClinicalTrials.gov NCT03022812; https://clinicaltrials.gov/ct2/show/NCT03022812
Relationship Between Product Features and the Prices of e-Cigarette Devices Sold in Web-Based Vape Shops: Comparison Study Using a Linear Regression Model (Preprint)
Authors: He Yanyun , Yang Qian , Alish Yousef , Ma Shaoying , Qiu Zefeng , Chen Jian , Wagener Theodore , Shang Ce
Published: May 2023

BACKGROUND

Open-system electronic cigarette (EC) product features, such as battery capacity, maximum output wattage, and so forth, are major components that drive product costs and may influence use patterns. Moreover, continued innovation and monitoring of product features and prices will provide critical information for designing appropriate taxation policies and product regulations.

OBJECTIVE

This study will examine how product features are associated with the prices of devices sold in web-based vape shops.

METHODS

We draw samples from 5 popular, US-based, web-based vape shops from April to August 2022 to examine starter kits, device-only products, and e-liquid container–only products. We implemented a linear regression model with a store-fixed effect to examine the association between device attributes and prices.

RESULTS

EC starter kits or devices vary significantly by type, with mod prices being much higher than pod and vape pen prices. The prices of mod starter kits were even lower than those of mod devices, suggesting that mod starter kits are discounted in web-based vape shops. The price of mod kits, mod device–only products, and pod kits increased as the battery capacity and output wattage increased. For vape pens, the price was positively associated with the volume size of the e-liquid container. On the other hand, the price of pod kits was positively associated with the number of containers.

CONCLUSIONS

A unit-based specific tax, therefore, will impose a higher tax burden on lower-priced devices such as vape pens or pod systems and a lower tax burden on mod devices. A volume- or capacity-based specific tax on devices will impose a higher tax burden on vape pens with a larger container size. Meanwhile, ad valorem taxes pegged to wholesale or retail prices would apply evenly across device types, meaning those with advanced features such as higher battery capacities and output wattage would face higher rates. Therefore, policy makers could manipulate tax rates by device type to discourage the use of certain device products.
A Study on Syntactic Complexity and Topic Difference Influence in Second Language Writing Based on Dependency Treebank
Authors: Cao Ailian
Published: May 2023

Using Stanford parser as a tool, taking 1840 articles on two topics by 920 English learners of four levels after random selection as the research corpus, this study attempts to explore the development trend of syntactic complexity of learners of different levels and what influence divergent topic can have on it. Results show that multi-level learners generally prefer adverbial clauses (advcl) and complement clauses (ccomp) to relative clauses (acl: recl); adjective modifiers (amod) are the best in distinguishing the level of English learners, which can be used as an important basis for judging the level of L2; in addition, different topics of the same task type have no significant effect on L2 learners’ syntactic complexity. It can be concluded that most syntactic complexity measures at the clause and phrase level show a non-linear development trend. Based upon the findings, implications are provided for English textbook development and English pedagogical practices.
International Student Mobility and Covid-19 Pandemic: Challenges and Opportunities in Southeast Asia
Authors: G. Reyes Alma Pia , Leon Anna Margarita T. De
Published: May 2023

The influence of Corona Virus (COVID-19) pandemic is significant in international higher education, especially student mobility. Due to the travel restrictions and campus closure, many students changed or cancelled their plan of studying abroad. Thus this study was therefore conducted primarily to determine the opportunities and challenges of the international mobility of students during the Covid-19 pandemic to draw prospects and recommendations to further enhance the progress of this educational endeavour and as well as, sustainable collaborations in Southeast Asia. The study used descriptive method because the study was associated with large sample sizes, respondents asked the same questions, and concentrating to quantity responses, which ensures that the entire data collection can be analyzed fairly. 35 respondents from institutions in the SEAMEO Network participating in the SEA-TVET Consortium within Southeast Asia were surveyed in this paper, and a questionnaire was used as the main data-gathering instrument for the study. Descriptive method of research and statistical tools were considered. The finding showed that the institution’s program for international student mobility was affected by the COVID-19 worldwide pandemic and greater part of the respondents encounter Travel and Government restrictions since the COVID-19 pandemic had disrupted most facets of lives including education. This had resulted in many schools and institutions of higher learning (IHE) being forced to cancel physical classes, and controlled international travel, with many nations keeping their borders closed to non-residents. Nevertheless, International Student Mobility in South East Asia was complemented using technological advancement for students such as online language or internet education and webinars in this pandemic. The researchers concluded based on the findings that the challenges and opportunities were both adapted by the institutions for International Student Mobility during pandemic in South East Asia.
Implementing Dalcroze's Eurhythmics in Classical Music Appreciation Courses for Young Learners
Authors: Jie Zhang , Yanfeng Wei
Published: May 2023

In this study, we explore the integration of Dalcroze's Eurhythmics into classical music appreciation courses for young learners. Our aim is to examine its effects on students' engagement, comprehension, and overall enjoyment of classical music. The research delves into the benefits of implementing eurhythmics principles in teaching methods to cultivate a deeper connection with the music and enhance musical understanding among children.
НАНОМЕДИЦИНА. ИСПОЛЬЗОВАНИЕ НАНОЧАСТИЦ МЕТАЛЛОВ, ПРОИЗВЕДЕННЫХ БИОСИНТЕЗОМ, В СОЗДАНИИ РАНОЗАЖИВЛЯЮЩИХ ДЕПО-МАТЕРИАЛОВ НОВОГО ПОКОЛЕНИЯ
Authors: Кричевский Г.Е. , Олтаржевская Н.Д. , Щедрина М.А. , Фидоровская Ю.С.
Published: May 2023

Нанотехнологии как междисциплинарные и межотраслевые технологии в настоящее время используются в мире практически во всех областях науки и техники и во всех отраслях индустрии. Стоимость продукции, полученной по нанотехнологиям, составляет триллионы долларов. Эффективно используются нанотехнологии и во всех областях медицины. Появились и закрепились новые направления: наномедицина, нанотерапия, нанодиагностика. Особое место в медицине играют наночастицы разной природы. Данная статья посвящена практическому использованию наночастиц серебра в заживлении гнойных ран. Показана эффективность разработанной аппликации, содержащей наночастицы серебра и ферменты.
СОЗДАНИЕ ТВЕРДОЙ КЕРАМИКИ ИЗ НАНОПОРОШКА ОКСИДА ИТТРИЯ С ПОМОЩЬЮ SPS-МЕТОДА
Authors: Лысенко В.И.
Published: May 2023

С помощью метода электроискрового спекания (ЭИС) на основе наноразмерного порошка оксида иттрия создана мелкозернистая (порядка 1 мкм), плотная, прочная керамика с микротвердостью вплоть до 18 ГПа.
СОВРЕМЕННЫЕ МЕТОДЫ КОНТРОЛЯ ЭЛЕКТРИЧЕСКИХ ТОКОВ С ПОМОЩЬЮ ДАТЧИКОВ ФИЗИЧЕСКИХ ВЕЛИЧИН
Authors: Полевиков В.В. , Литвиненко Э.О.
Published: May 2023

Во многих сферах применения измерительных устройств на основе датчиков лидируют датчики магнитного поля. Поэтому задача измерения токов величин сводится к выбору между AMR-датчиком и датчиком Холла. В статье представлены основные преимущества и недостатки каждого из двух типов датчиков, методы оптимизации их основных характеристик, а также результаты, которых удалось достигнуть компании "Зеленоградский нанотехнологический центр" в освоении и производстве магнитных преобразователей.
Аспекты экологически чистого формообразования. Экологичные литейные формы с жидким стеклом для художественного литья
Authors: Михайлов О.В. , Ткаченко С.С. , Соколов А.В.
Published: May 2023

Предложено использовать технологию изготовления форм по СО2 процессу с применением смесей с жидким стеклом, экологически чистым связующим. Исследованы пластифицирующая добавка для снижения количества связующего и составы смесей с пониженным содержанием связующего.
Финишная абразивная обработка деталей из полимерно-­композитных материалов
Authors: Куликов М.Ю. , Попов А.Ю. , Шевчук Е.О. , Крапостин А.А.
Published: May 2023

Разработана технология финишной абразивной обработки деталей из полимерно-­композитных материалов (ПКМ), обеспечивающая шероховатость поверхности (Ra ≤ 0,63) и предотвращающая влагопоглощение и набухание обработанной поверхности. Определён эффективный способ подачи водо-воздушной смеси в зону резания с помощью внутренних каналов инструмента.
Перспективы развития и интеграции станкостроения в экосистему цифровой промышленности
Authors: Позднеев Б.М. , Никитин Д.В. , Бабенко Е.В.
Published: May 2023

Рассмотрены перспективы развития и интеграции предприятий и продукции станкостроительной отрасли в формирующуюся экосистему цифровой промышленности. Аспекты обеспечения конкурентоспособности станкостроения рассмотрены во взаимосвязи с развитием процессов цифровой трансформации, интеграции и интероперабельности систем управления, формирования кооперационных связей и цепей добавленной стоимости на основе нового комплекса национальных стандартов «Цифровая промышленность».
RESOURCE-SAVING ORGANIZATIONAL AND TECHNOLOGICAL LIGHTING SOLUTIONS FOR HOUSING AND COMMUNAL SERVICES
Authors: Alekseeva N. A. , Tepin A. A.
Published: May 2023

At the turn of the two millennium, the fundamental difference in assessing the goals and means of scientific and technological progress is the consideration of architectural and planning decisions, technical and economic parameters and environmental consequences. The global nature of human impact on the habitat determines the strict requirements for choosing the parameters for the implementation of technological solutions, in particular light solutions for housing and communal services. The dynamics of electricity consumption and heat resources in Russia as a whole, including the population, was considered. The reasons for the loss of energy resources from the positions of various authors, including theft, illegal tie-ins, damage in distribution networks, insufficient level of advertising of technical and organizational and managerial innovations, are summarized. Systematized lighting solutions patented over the past 5 years in Russia, including building blocks with suspensions, hybrid lamps, heat flux sensors, luminous building parts. It was revealed that many innovative developments are based on LED solutions. The level of normative natural and cost expenditures of resources for collections of state elementary norms and federal unit rates for the construction of walls and partitions made of glass blocks was analyzed. The use of LED lighting for housing and communal services is justified. It was concluded that the power consumption when using LED lamps is several times lower than incandescent lamps and fluorescent lamps.
E-Ration Distribution System Based on QR-Code
Authors: Mhetre Dr. Nalini , Rajak Pratham , Deshmukh Shravani , Khutale Savani , Pitambare Mayuresh
Published: May 2023

Abstract: Ration cards are essential for many households as they provide access to necessities such as food and fuel. However, the existing ration distribution system has one main drawback: fraudulence, where distributors sell materials to unauthorized customers. In this paper, we propose an E-Ration distribution system based on QR-code to address these issues. The proposed system uses QR-codes on ration cards, which when scanned provide details about the customer and distributor as well as the available ration. To implement the system, we develop an application that tracks the distribution of ration and logs its status. The application also allows for easy monitoring of stock levels and distribution records, which can be accessed by authorized personnel. This minimizes the human intervention as much as possible to make the system efficient and cost-effective.
Image Classification Using Convolutional Neural Networks
Authors: Gawali Prof. N.V.
Published: May 2023

Abstract: Convolutional Neural Networks (CNNs) have emerged as powerful tools for image classification tasks due to their ability to automatically learn hierarchical representations from raw pixel data. This paper provides a comprehensive review of CNN-based image classification methods, covering various aspects such as network architectures, training techniques, and evaluation metrics. Additionally, we discuss recent advancements, challenges, and future directions in CNN-based image classification research. The aim of this paper is to provide researchers and practitioners with a thorough understanding of CNNbased image classification and to guide future research in this field.
Evaluation of Mechanical Properties and Corrosion Behavior of Stir Cast Hybrid Composites Based on LM13 Aluminum Alloy Reinforced with Zirconium Diboride (ZrB2) and Titanium Carbide (TiC) Particles
Authors: Tataji K.
Published: May 2023

Abstract: In the LM13 alloy matrix, ceramic titanium carbide (TiC) and zirconium diboride (ZrB2) particles were used to create and characterise hybrid composites. TiC's weight percentage stayed constant at 5% whereas ZrB2's weight percentage was changed from 0% to 10%. The microstructure of the composites was analysed using an optical microscope after they were made using the liquid metallurgy stir casting technique. The mechanical properties of the composites, including their tensile strength, ductility, and hardness, were evaluated and compared to those of the LM13 alloy without reinforcement
Satellite Image Dehazing
Authors: Yeole Aditya
Published: May 2023

Abstract: The images captured during haze, murkiness and raw weather has serious degradation in them. Image dehazing of a single image is a problematic affair. While already-in-use systems depend on high-quality images, some Computer Vision applications, such self-driving cars and image restoration, typically use input from data that is of poor quality.. This paper proposes a deep CNN model based on dehazing algorithm using U-NET, dynamic U-NET and Generative Adversarial Networks (CycleGANs). CycleGAN is a method that comprehends automatic training of image-to-image transformation without associated examples. To train the model network, we use SIH dataset as the training set. The superior performance is accomplished using appreciably small dataset, the corresponding outcomes confirm the adaptability and strength of the model.
Application of Blockchain to Secure e-FIR
Authors: Pawar Sanket , Lahane Shubham , Mandhare Omkar , Begade Nabilal , Phalke Mrs. Dhanashree. A. , Metre Ms. Vishakha. A.
Published: May 2023

Abstract: Electronic First Information Report (e-FIR) is a document filed to the police stations by a victim or accuser when offense is committed. In traditional e-FIR databases, offense’s records can be tampered because of its centralized nature. Also intentional false e-FIR can be registered. Thus, data transparency and integrity is big concern. To overcome this problem e-FIR with decentralized blockchain system can be integrated with e-FIR portal. The main characteristics of the blockchain technology are advanced security and decentralized system. This technology uses the encrypted blocks to make FIR data secured. Proof of Stake (PoS) protocol is used in this system. Users have to submit e-FIR through portal which will be stored in blocks in blockchain. Due to advanced security feature of system, data tampering will be prevented. Integrating such FIR registration system will ensure transparency and enhance data integrity.
Intelligent Speech Emotion Classification Using Deep Learning Technique
Authors: Ramteke Mr. Ashwin
Published: May 2023

Abstract: Speech emotion recognition is a very interesting but very challenging human-computer interaction task. In recent years, this topic has attracted a lot of attention. In the field of speech emotion recognition, many techniques have been used to extract emotion from signals, including many well-established speech analysis and classification techniques. In the traditional way of speech emotion recognition, the emotion recognition features are extracted from the speech signals, and then the features, which are collectively known as the selection module, are selected, and then the emotions are recognized, which is a very tedious and time-consuming process, so this paper provides an overview of the deep learning technique, which is based on a simple algorithm based on feature extraction and building a model that recognizes emotions
Modified Indoor Air purifier
Authors: Rafiq Mr. Jawed , Afzal Kaif , Yadav Ravi Prakash , Srivastava Rishu , Srivastava Ritesh
Published: May 2023

Abstract: Air purifier filters utilize fine sieves that filter particles out of the circulating air. As air flows into the air purifier, the finer the sieve inside of the air purifier, the smaller the particles it will trap. High Efficiency Particulate Air (HEPA) filters are the benchmark for air purifier filters, which are guaranteed to trap 99.97% of airborne particles larger than 0.3 microns in size. Microns are the standard unit that is used to measure the size of particles in the air. Each micron is equivalent to 1/25,400 of an inch. The naked eye cannot see anything that is smaller than 10 microns in size, so pollutants like bacteria and viruses escape detection. HEPA filters efficiently remove smaller-sized allergens like dust, smoke, chemicals, asbestos, pollen, and pet dander. Room air conditioner filters can only capture particles 10.0 microns or larger, so they are not as efficient as air purifier filters for cleaning the air. HEPA filters are designed to capture particles as small as 0.3 microns, including pollen, dust mites, and pet dander. Activated carbon filters are effective at removing odors and volatile organic compounds (VOCs) from the air. UV-C light is used to kill bacteria and viruses that may be present in the air. Air purifiers come in a variety of sizes and styles, ranging from small portable units to larger models that can purify the air in an entire building. Some air purifiers are designed for specific purposes, such as removing cigarette smoke or pet odours. Air purifiers are essential devices that help improve indoor air quality by removing harmful contaminants. They can be used in a variety of settings to reduce the risk of respiratory problems and improve overall health. With the advancement of technology, air purifiers have become more efficient and effective in removing harmful pollutants from the air we breathe.
Real-Time Driver Drowsiness Detection Using Images
Authors: Jadhavar Prof. Poonam
Published: May 2023

Abstract: The suggested technology intends to reduce the amount of accidents caused by driver sleepiness and exhaustion, hence increasing transportation safety. In recent years, this has been a prevalent cause of accidents. Several expressions and body motions, including exhaustion in the eyes and yawning, are seen as symptoms of sleepiness and fatigue in drivers. These characteristics indicate that the driver's condition is poor. The EAR (Eye Aspect Ratio) calculates the distance ratio between horizontal and vertical eye landmarks, which is essential for detecting sleepiness. A YAWN value is calculated for yawn detection utilising the distance between the lower and upper lips, and the distance is compared to a threshold value. We installed an eSpeak module (text to speech synthesiser) to provide suitable voice notifications when the driver becomes tired or yawns. The suggested method is intended to reduce the number of accidents and to contribute to technology in order to avoid fatalities caused by road accidents.
A Novel Classical Music Recommendation System Using User Facial Expression
Authors: Kumar V Saravana
Published: May 2023

Abstract: In today's world, feelings play an important part in many aspects of life. The spectrum of human feelings, whether or not those sensations are verbalised, serves as the foundation for emotions. A diverse range of emotional expressions can be used to convey a person's sense of individuality. It is possible to infer a person's state of mind simply by observing their facial expressions. This project aims to determine people's feelings based on images of them and then match those feelings with suitable musical selections. The majority of today's most popular music discovery tools make use of a social or content-based recommendation engine of some kind. However, a listener's taste in music is dependent on a variety of factors in addition to their previous listening habits and the subject matter of the songs they hear. The feelings of other users are also important.
Machine Learning Biometric System using Viola Jones Algorithm
Authors: Radhakrishnan Dr. Sangeetha
Published: May 2023

Abstract: A person's identity is revealed through their face. The method utilised to employ this physical attribute has undergone a major alteration since the introduction of image processing technologies.. Taking attendance is a crucial daily duty in many educational and professional settings. The professor calls the student's name and records the attendance in the conventional manner. It takes a lot of time to physically take attendance in a classroom, which is a very vital responsibility. It is frequently carried out manually by shouting out names or roll numbers. To expedite this process and improve time management, a Face identification-based attendance system is offered. This system will automate the time-consuming procedure by collecting student photographs, names, roll numbers, classes, and sections. A spreadsheet database that is updated hourly also contains the guide's name. Processing is performed using a web camera, and student photographs are extracted from Open CV. Using a pre-defined dataset and the Viola Jones technique, automatic attendance detection can be accomplished. The system keeps an Excel file with the most recent instructor data that is updated hourly.
Secure Digital Voting System Using Blockchain Technology
Authors: Maan Amit
Published: May 2023

Abstract: The paper aims to propose a new system for conducting secure digital voting using blockchain technology. The existing voting systems face several challenges such as a lack of transparency, security vulnerabilities, and limited accessibility. To overcome these challenges, this research paper proposes the use of blockchain technology to provide a decentralized, transparent, and secure voting system. The paper outlines the technical design and architecture of the proposed system, highlighting the key features and benefits. The system is designed to ensure the integrity and confidentiality of the voting process, while also providing accessibility and ease of use for voters
CI/CD Pipeline for Web Applications
Authors: Singh Nikhil
Published: May 2023

Abstract: Modern organisation’s rapid pace of software development necessitates teams delivering high-quality software products faster than ever before. In order to accomplish this, software development teams are incorporating continuous integration and continuous deployment (CI/CD) methodologies into their software development processes. CI/CD pipelines are a set of practises and tools that allow teams to efficiently and reliably automate the development, testing, and deployment of software products. CI/CD pipelines have become an essential tool for teams delivering web applications at a faster pace while ensuring scalability, security, and performance in the context of web applications. This paper provides an overview of the best practises and tools for constructing a successful CI/CD pipeline for web applications. Version control, continuous integration, automated testing, deployment automation, monitoring, and logging are among the key steps covered in the paper. The paper also discusses the advantages and disadvantages of CI/CD pipelines, such as increased productivity, shorter time-to-market, fewer manual errors, and better collaboration between development and operations teams. Several case studies are included in the paperto demonstrate the effectiveness of CI/CD pipelines in web application development. The case studies cover a variety of web applications, such as e-commerce websites, social media platforms, and healthcare apps. Each case study provides practical insights into CI/CD pipeline implementation, including the tools and technologies used, the benefits realised, and the challenges encountered. The case studies also emphasise the importance of culture and collaboration in CI/CD pipeline implementation success. The paper also discusses the key tools and technologies used in web application CI/CD pipelines, such as Git, Jenkins, Docker, Kubernetes, and AWS. The paper provides an overview of these tools as well as their role in various stages of the CI/CD pipeline. The paper also discusses the importance ofsecurity in CI/CD pipelines, as well as an overview of the key security practices that must be implemented
Voice Based Email System for Visually Impaired Interactive Voice Response
Authors: Kalaitchelvi Mrs. S. , Thanuja K. , Abinaya R. , Vinothini R. , Nasrin M. Reema
Published: May 2023

Abstract: The widespread use of the internet has created many possibilities, but visually impaired individuals facedifficulties in accessing essential programs like e-mail. This project aims to provide voice assistance to visually impaired users through personal voice assistants that can perform tasks and provide services based on spoken commands. Voice commands offer a more convenient input method for users and can be particularly beneficial for those with visual impairments who may have difficulty using a keyboard. The project's ultimate goal is to develop a secure voice assistant that can take voice commands, execute desired instructions, and provide output in the form of synthetic speech or other means. Such an assistant would provide visually impaired individuals with a more accessible and independent means of accessing essential programs and services.
Cost and Time Optimization in Fleet Management- Case Study of Sinnar Shirdi Highway
Authors: Mhaisdhune Pranav , Aher Madhura
Published: May 2023

Abstract: The aim of the study is to show how fleet management can help in saving time and cost by comparing the current onsite equipment to optimised results. The detailed study of fleet of equipment and their related parameters and specifications is important because it helps to determine requirement of equipments for a particular activity. All the cost including labor, maintenance, operating costs, machine capacity were considered to find out the productivity as well as expenses. Based on the site visit and data collection various parameters such as productivity of excavator, production rate, cycle time and other parameters of activities such as earthmoving equipment, hauling of trucks as well as productivity of paver were also calculated. The parameters were obtained for various combinations of different truck sizes as shown in the MS- Excel sheet. For different truck sizes and different combinations we get different cost index.
Stock Price Prediction using ML algorithms
Authors: Gupta Bhupesh Kumar , Tiwari Srishti , Bhatnagar Shubhi , Shalu  , Singh Yuvraj , Ranjan Tanya
Published: May 2023

Abstract: Stock Price Prediction using ML( Machine Learning) helps to determine the unborn value of stocks of any fiscal means traded on an exchange. The entire generality of prognosticating stock prices is to gain significant gains by minimizing losses vaticinating the stock request price is always challenging for numerous business judges and experimenters. vaticination of the stock request plays a vital part in the stock business. The compass gradationally expanded. The time series model cannot contribute to the non-linear part of the stock data and is therefore hamstrung for the long term, and LSTM neural network makes better use of non-sequential data and has better use of sequence data. Useful information in the long term which makes the root mean square error of the vaticination result, the LSTM neural network needs lower than the time series model, showing LSTM is a better stock price soothsaying system. Machine Learning approach to predict or sense the behavior tracking of the stock market Sensex. Random Forest is the Machine Learning model implemented effectively in predicting the stock prices anddefining the activity between the exchanges the securities between the buyers and sellers.
Risk Identification and Assessment in 24x7 Water Supply Scheme for DMA under Smart City project
Authors: Garad Amol , Shelorkar Ajay
Published: May 2023

Abstract: The objective of this thesis is to propose a decision support tool for contractors to assess the likelihood of risks in water supply system projects before the execution stage. The approach combines fuzzy logic with the relative importance index (RII) method to quantify the probability of these risks. By conducting a comprehensive literature review and expert interviews, a total of 51 distinct risk factors were identified and categorized into seven groups. The RII method was employed to determine the relative importance of each risk factor, and the ranking of both the factors and groups was established based on their level of importance. The case study results facilitated a discussion on the most influential factors and groups that require attention in terms of risk probability. The outcomes were deemed satisfactory and appropriate for the purpose of this thesis.
Online Banking System
Authors: Roshan, Raj
Published: May 2023

Abstract: Online Banking for customer. The system is an online application that can be accessed throughout the organization and outside as well with proper login provided. It has been planned to be having the view of distributed architecture, with centralized storage of the database. The application for the storage of the data has been planned. Using the constructs of Oracle 10g and all the user interfaces have been designed using the JAVA. The database connectivity is planned using the “Database” methodology. The standards of security and data protective mechanism have been given a big choice for proper usage. The application takes care of different modules and their associated reports, which are produced as per the applicable strategies and standards that are put forwarded by the administrative staff
IOT Based Smart Agriculture for Precession Irrigation - A Model
Authors: Baviskar Yash , Shinde Dasharath , Badgujar Girish , Dukare Tejas , Banthia Karan , Itnal Prof.Vijay
Published: May 2023

Abstract: The rapid development of Internet of Things (IoT) technology across all industries, from the automotive to home automation, had an impact on the agriculture sector as well, commonly known as "Smart Agriculture," which moved the entire sector from statistical to quantitative methods. These innovative ideas modify agriculture's current practises, open up new prospects, and help this industry overcome a number of obstacles. This study shows a system that makes use of the possibilities of these IoT and wireless sensing devices as well as the difficulties encountered when fusing these technologies for mutual benefit. This essay demonstrates how to use a smart agricultural application that allows users to monitor and modify soil moisture, temperature, and humidity.The capacity to remotely direct water flow anywhere the user pleases without being present in person. This is accomplished by using a soil moisture sensor that can measure soil moisture, a DHT 11 for measuring temperature and humidity, an Arduino to link the entire system together, and the IOT cloud as the system's database. Our only goal is to create an automated solution for remote gardening that is user-friendly
Study of Structural Failure of Road after Widening and its Remedial Measures
Authors: Thombre Ajay
Published: May 2023

Abstract: Road widening projects are undertaken to accommodate increased traffic volume and improve transportation infrastructure. However, in some cases, structural failures can occur in the widened road sections, leading to safety hazards and increased maintenance costs. This study aims to investigate the causes of structural failure in road sections after widening and propose remedial measures to mitigate the issues. The research methodology involved field inspections, data collection, and analysis of failed road sections. Various factors contributing to structural failures were identified, including inadequate design considerations, improper construction techniques, and insufficient soil stabilization measures. The study also examined the effects of increased traffic loads and environmental factors on road performance. Based on the analysis, several remedial measures were proposed to address the structural failures. These measures include retrofitting the road sections with additional reinforcements, improving drainage systems to prevent water accumulation, and implementing proper soil stabilization techniques. Additionally, recommendations for enhanced quality control during construction, such as strict adherence to design specifications and regular monitoring, were suggested. Furthermore, the study emphasized the importance of considering longterm maintenance requirements during the road widening process. Establishing a comprehensive maintenance plan that includes periodic inspections, timely repairs, and proactive maintenance strategies can significantly prolong the service life of the widened road sections
Batoid fishery in Peru (1950-2015): Magnitude, management and data needs
Authors: González-Pestana Adriana , Velez-Zuazo Ximena , Alfaro-Shigueto Joanna , Mangel Jeffrey C.
Published: May 2023

Historical landings from the Food and Agriculture Organization (1950–2015) were used to estimate the contribution of the Peruvian batoid fishery to the eastern Pacific Ocean, and species-specific landings from Instituto del Mar del Peru (1997-2015) were used to identify the most-landed species, their landings sites and monthly variation throughout the year, and fishing gear types most used. The regulatory and research landscape were evaluated toward identifying potential gaps that may be hindering conservation and management of batoids in Peru. Results showed that in the eastern Pacific, Peru ranked second, after Chile, for batoid landings from 1950 to 2015. Of the twenty-three species of marine batoids that interact with Peruvian fisheries, the most landed taxonomic groups, from 1997 to 2015, were: Myliobatis spp. (i.e., M. chilensis and M. peruvianus; 45% of batoids landings), Mobula spp. (primarily M. mobular, and secondarily M. thurstoni, M. munkiana, M. tarapacana; 28%), Pseudobatos planiceps (6%), and Hypanus dipterurus (6%). Most of these species are landed in northern Peru, where gillnets are the most-used fishing gear to capture them. Batoid landings occurred year-round; yet, for H. dipterurus and P. planiceps landings were highest during the austral summer. Only three management measures exist for batoids fisheries in Peru for three species (i.e., M. birostris, Pristis pristis, Rhinoptera steindachneri) and two taxa (i.e., Mobula and Myliobatis) which are not fully enforced. Batoid research in Peru is limited, with only 25 publications from 1978 to 2022, in which the most studied species are Mobula birostris, M. chilensis and M. peruvianus. This study establishes an information baseline for batoids in Peru that can help guide their management, research, and conservation.
COMMODITY AND INVESTMENT EXCHANGE AS A TOOL FOR IMPROVING THE REGIONAL INVESTMENT CLIMATE
Authors:   Central Russian Institute of Management, Branch of RANEPA, MATVEEV V.V.
Published: May 2023

The current unstable macro- and microeconomic situation requires state executive authorities to create and integrate fundamentally new tools for the development of the national and regional economy. The key driver of such development, according to the author, can be the improvement of various forms of support for investment processes. Purpose: creation of a new tool for supporting commodity and investment processes, ensuring the achievement of a balance of interests of all key participants in the domestic socio-economic system. Methodology: based on the analysis of the current regulatory framework and the assessment of the accumulated empirical experience of the regions in terms of supporting commodity investment projects on the example of the Orel region, the creation of a specialized commodity investment exchange is proposed. Results: the uniqueness of the exchange lies in achieving the desired balance of interests of three key participants: firstly, meeting the unified and (or), on the contrary, unique needs of end users of goods, works, services; secondly, maximizing profits for local producers and services; and thirdly, achieving sustainable socio-economic development of both individual municipalities and the region as a whole by attracting and accumulating additional financial and investment capital. At the same time, an assessment of the socio-economic efficiency of the exchange itself indicates that the average payback period for this instrument is about 3.5 years. Subsequently, the regional government will be able to direct the promising profit to the formation of new local measures to support small and medium-sized businesses. Therefore, according to the author, in practice, the creation of this exchange will significantly contribute to the acceleration of all commodity and investment processes both for a particular region and for the national economy as a whole (in the case of scaling up the practice of using this tool in other subjects of the Russian Federation).