bluuebunny/crossref_metadata_2025 huggingface dataset:
Dynamic Cycle Time in Traffic Signal of Cyclic Max-Pressure Control
Authors: Zoabi Razi , Haddad Jack
Published: June 2023

In this paper, a new cyclic structure of a max pressure travel time-based traffic signal control is developed to seek an optimal coordination in large-scale urban networks. The focus of the current paper is on dynamic manipulation of cycle lengths within cyclic structure. Following the application of a decentralized approach, which requires only local information in order to offer proper phase durations, the control strategy aims at maximizing the overall network throughput. Previous works of cyclic max-pressure control have presented a cyclic notion to actuate the controller in a cyclic manner. However, no input has been provided on the optimal cycle length for each intersection to be chosen in a network, and along with the dynamic and stochastic nature of the trips, it is not clear what are the main phases of the intersections and how to coordinate them. The developed cyclic max pressure control schemes are compared with an exiting cyclic scheme in the literature. Simulation results show that the newly proposed cyclic structure of the time-based approach offers better decision-making.
Distributed Ordering and Optimization for Intersection Management with Connected and Automated Vehicles
Authors: Vitale Francesco , Roncoli Claudio
Published: June 2023

Intelligent transport systems are preparing to welcome connected and automated vehicles (CAVs), although it is uncertain which algorithms should be employed for the effective and efficient management of CAV systems. Even though remarkable improvements in telecommunication technologies, such as vehicle-to-everything (V2X), enable communication and computation sharing among different agents, e.g. vehicles and infrastructures, within existing approaches, a significant part of the computation burden is still typically assigned to central units. Distributed algorithms, on the other hand, could alleviate traffic units from most, if not all, of the high dimensional calculation duties, while improving security and remaining effective. In this paper, we propose a formation-control-inspired distributed algorithm to rearrange vehicles’ passing time periods through an intersection and a novel formulation of the underlying trajectory optimization problem so that vehicles need to exchange and process only a limited amount of information. We include early simulation results to demonstrate the effectiveness of our approach.
Corporate social responsibility as a tool of interaction with the external environment during the economic crisis
Authors: Vetrova V. V. , Shcherbachenko P. S.
Published: June 2023

The purpose of the article is to determine the impact nature of the corporate social responsibility (hereinafter – CSR) policy on the company’s position during the crisis. The subject of the study is CSR as a tool of interaction with the external environment. Based on the theoretical analysis of the scientific literature, the paper identifies the interrelation of social responsibility and the business interaction strategy with the macro- and microenvironment, using the analogy method, the features of such interrelation in the conditions of economic instability, in which the business was due to the spread of Covid-19 are considered. The authors have developed recommendations for the successful implementation of this policy, taking into account all the limitations of the company’s crisis situation, which makes it possible to use this research in business practice and subsequent scientific activity. The prospects for this study may be the description of modified tools of CSR implementation, taking into account the modern development of technologies and the deepening of its impact on economic relations. As a result of the work done, a conclusion was obtained about the predominance of positive effects from the implementation of this strategy in a situation of increased resource constraints.
Reserves and extraction of rare earth metals and elements as a key factor in the renewable energy sector development at the the world economy transformation current stage
Authors: Mingaleeva R. D.
Published: June 2023

The use of renewable energy sources, which are experiencing a period of rapid development, is one of the stages of the current energy transition, as the world community tries to ensure a future with zero CO2 emissions and to achieve energy independence and security. At the same time, for output of the wide range of products for the renewable energy sector, as well as for the development of energy depot systems, it is necessary to use rare earth elements and metals in production. The results of the analysis of data on reserves, production and calculated values of the resource availability coefficient of rare earth elements and metals shows that at the existing level of production, the proven reserves of cobalt will last for ≈ 50 years, lithium– for ≈ 200 years and rare earth elements – for ≈ 450 years, respectively, which leads to a limitation of the global transition speed to renewable energy sources and makes it necessary to look for new technical solutions.
«Green» employment: the essence and genesis of the concept
Authors: Nenastev N. A. , Yashalova N. N.
Published: June 2023

The article is devoted to the generalization and systematization of the theoretical knowledge accumulated to date in the field of «green» (environmental) employment. Two key aspects of the relevant problem are touched upon: the definition of the term under consideration and the main stages of the environmental employment periodization. The study is based on analysis and synthesis, generalization, as well as economic-historical and comparative methods. The analysis includes significant fundamental Russian and foreign scientific works on the subject under study. A review of approaches to the definition of environmental employment is presented, its special characteristics and features. Based on the analysis and generalization of scientific and specialized research, the author’s definition of «green» employment has been developed, which should be understood as labor activity associated with «green» transformation and increasing the environmental sustainability of economic activities that have a high anthropogenic impact on the environment.
Machine Learning Force Field for Molecular Liquids: EC/EMC Binary Solvent
Authors: Magdău Ioan-Bogdan , Arismendi-Arrieta Daniel J , Smith Holly E , Grey Clare P , Hermansson Kersti , Csányi Gábor
Published: June 2023

Highly accurate ab initio molecular dynamics (MD) methods are the gold standard for studying molecular mechanisms in the condensed phase, however, they are too expensive to capture many key properties that converge slowly with respect to simulation length and time scales. Machine learning (ML) approaches which reach the accuracy of ab initio simulation, and which are, at the same time, sufficiently affordable hold the key to bridging this gap. In this work we present a robust ML potential for the EC:EMC binary solvent, a key component of liquid electrolytes in rechargeable Li-ion batteries. We identify the necessary ingredients needed to successfully model this liquid mixture of organic molecules. In particular, we address the challenge posed by the separation of scale between intra- and inter-molecular interactions, which is a general issue in all condensed phase molecular systems.
Hybrid photothermal-photocatalyst sheets for solar-driven overall water splitting coupled to clean water production from seawater and waste streams
Authors: Pornrungroj Chanon , Mohamad-Annuar Ariffin , Wang Qian , Rahaman Motiar , Bhattacharjee Subhajit , Andrei Virgil , reisner Erwin
Published: June 2023

Photocatalytic water splitting converts sunlight directly into storable hydrogen, but involves commonly pure water, installation on land and production of unusable waste heat. Here, we report a hybrid device consisting of a photocatalyst (PC) and a solar vapour generator (SVG) for simultaneous overall water splitting and water purification from open water sources. Specifically, a UV light absorbing RhCrOx-Al:SrTiO3 photocatalyst is deposited on top of a floating, visible and infrared light absorbing porous carbon SVG, which produces green fuel with a solar-to-hydrogen efficiency of 0.14±0.02% coupled to 0.95 kg m−2 h−1 of water vapour as a substrate for the PC and collectable purified water. This integrated system maintains operational stability in seawater and other aqueous waste streams for over 154 hours due to the isolation of the PC from the contaminants in the liquid feedstock. This work provides a new concept for developing an off-grid energy production-storage solution and is a first step towards alleviating both energy and water supply challenges.
Time-resolved Mn2+–NO and NO–NO distance measurements reveal that catalytic asymmetry regulates alternating access in an ABC transporter
Authors: Rudolph Michael , Tampé Robert , Joseph Benesh
Published: June 2023

ATP-binding cassette (ABC) transporters shuttle diverse substrates across biological membranes. Transport is often achieved through a transition between an inward-facing (IF) and an outward-facing (OF) conformation of the transmembrane domains (TMDs). Asymmetric nucleotide-binding sites (NBSs) are present among several ABC subfamilies and their functional role remains elusive. Here we addressed this question using concomitant NO–NO, Mn2+–NO, and Mn2+–Mn2+ pulsed electron-electron double resonance spectroscopy of TmrAB in a time resolved manner. This type IV ABC transporter undergoes a reversible transition in the presence of ATP with a significantly faster forward transition. The impaired degenerate NBS stably binds Mn2+–ATP and Mn2+ is preferentially released at the active consensus NBS. ATP hydrolysis at the consensus NBS considerably accelerates reverse transition. Both NBSs fully open during each conformational cycle and the d-NBS may regulate the overall kinetics of this process.
Developing a curated chatbot as an exploratory communication tool for chemistry learning
Authors: Lolinco Annabelle , Holme Thomas
Published: June 2023

This report details the development of an interactive web-based chatbot to curate content for writing about chemistry in context. Using machine learning, the chatbot undergoes training through the phrases inputted by the developer and its users to create stronger connections to different modules. Discussed herein are the development of the decision tree, the chatbot’s components, and results from the initial implementation in a large lecture general chemistry classroom.
A Quantitative Structure - Permittivity Relationship Study of a Series of Polymers
Authors: Zhuravskyi Yevhenii , Iduoku Kweeni , Erickson Meade , Karuth Anas , Usmanov Durbek , Casanola-Martin Gerardo , Sayfiyev Maqsud , Ziyaev Dilshod , Smanova Zulayho , Rasulev Bakhtiyor
Published: June 2023

Dielectric constant is a value, that is widely applied in many scientific fields, and characterizes the degree of polarization of substances under the external electric field. In this work, a structure-property relationship of dielectric constants (ε) for a diverse set of polymers was investigated. A transparent mechanistic model was developed with application of a genetic algorithm combined with multiple linear regression analysis (GA-MLRA), to get a mechanistically explainable and transparent model. Based on the evaluation conducted using various validation criteria, four- and eight-variable models were proposed. Obtained statistical performance results and selected descriptors in the best models were analyzed and discussed. With the validation procedures applied the models were proven to have a good predictive ability and robustness.
PHÂN LỚP HÌNH ẢNH DỰA TRÊN CẤU TRÚC KD-TREE
Authors: Nguyễn Thị Định , Văn Thế Thành , Lê Mạnh Thạnh
Published: June 2023

Trong bài báo này, một phương pháp phân lớp hình ảnh dựa trên cấu trúc KD-Tree được đề xuất nhằm thực hiện phân lớp nhiều lần cho một ảnh đầu vào theo mô hình phân lớp đa tầng. Chúng tôi đã đề xuất các thuật toán phân lớp hình ảnh dựa trên cấu trúc KD-Tree, huấn luyện bộ véc-tơ phân lớp và mô hình phân lớp ảnh. Dựa trên cơ sở lý thuyết này, chúng tôi thực nghiệm trên các bộ ảnh COREL, Wang, CIFAR-100, Caltech101, Clatech256 với hai nhóm đặc trưng SCH, SCH36 và so sánh với các công trình khác cùng bộ dữ liệu để chứng minh tính khả thi của phương pháp. Kết quả thực nghiệm cho thấy phương pháp của chúng tôi là hiệu quả và có thể áp dụng được cho các hệ phân loại hình ảnh thuộc các lĩnh vực khác nhau. Đồng thời, đây là một hướng tiếp cận mới trên cấu trúc KD-Tree áp dụng cho bài toán phân lớp hình ảnh được đánh giá với hiệu suất cao hơn các phương pháp khác thực hiện trên cùng bộ ảnh.
KHẢ NĂNG KHÁNG Vibrio spp. VÀ ĐẶC TÍNH PROBIOTIC CỦA Lactobacillus farciminis HN12
Authors: Trịnh Thị Phương Thảo , Lê Thị Kim Thoa , Bùi Thị Khuyên , Nguyễn Thị Minh Nga , Trương Thị Phương Lan , Vũ Đức Hoàng , Huy Nguyễn Đức
Published: June 2023

Trong nghiên cứu này, chủng vi khuẩn lactic có khả năng đối kháng với Vibrio  parahaemolyticus đã được phân lập từ mắm nêm. So sánh trình tự nucleotide 16S rRNA, chúng tôi nhận thấy chủng phân lập tương đồng cao với Lactobacillus farciminis và đặt tên là L. farciminis HN12. Chủng phân lập có hoạt tính kháng V. parahaemolyticus mạnh với hoạt độ 460 AU/mL và thể hiện hoạt tính kháng với 20 chủng Vibrio spp. phân lập từ tôm và cá bị nhiễm bệnh với hoạt tính kháng khuẩn dao động từ 160 đến 400 AU/mL. Chủng phân lập cũng có khả năng sống sót trong điều kiện bất lợi như sự có mặt của muối mật và NaCl ở nồng độ cao. Hoạt tính tự kết dính là 34,88% và hoạt tính đồng kết dính với E. coli là 59,05%. Chủng này bị ampicillin và chloramphenicol ức chế. L. farciminis HN12 với khả năng kháng khuẩn tốt và các đặc tính của lợi khuẩn có tiềm năng sử dụng để tạo chế phẩm sinh học cung cấp trong ngành chăn nuôi thủy sản.
Personality Predictors of Professional Efficiency of Preschool Teachers
Authors:   Irkutsk State University, Kyshtymova I. M. , Leontieva K. N. ,   MBPEI Kindergarten № 128
Published: June 2023

The article presents the results of the study of the correlation between professional efficiency of preschool teachers and their creativity and values. The structure of educators’ professional efficiency has been characterized, the criteria of its expert assessment have been provided. 50 educators of municipal preschools and 9 experts took part in the research. The study has revealed that cognitive and aesthetic components of efficiency are higher among educators with a more pronounced level of creativity. At the same time, verbal creativity is in negative correlation with a communication component of efficiency, which is explained by professional growth of a preschool teacher in child speech discourse. The findings show that educator’s values are the factor related to the cognitive component of his or her professional efficiency and their contribution to preschool teachers’ performance indicators is significant.
The Analysis of Provisions of the Theory of Graves’s Emergent Levels of Biopsychosocial Systems
Authors:   Moscow State University, Mirov Y. A.
Published: June 2023

Since early 21 century, there have been numerous works in scientific and popular literature devoted to the theory of emergent levels biopsychosocial systems by Clare Graves and theories derived from it, such as Spiral Dynamic. The theory was developed on the basis of the analysis of significant amount of data gathered to reveal patterns of «normal» behavior of an individual. The theory is widely used in business consulting and other spheres. As popularization of any theory can lead to its mythologization, it is necessary to analyze basic provisions of Graves’s theory and its derivatives to elicit the provisions that are scientifically grounded, have a hypothetical status, and require experimental verification, as well as pseudoscientific popular views. The present review is an attempt of such analysis.
Verbalization of Temporal Relations in the Use of Adverbs by 6-7-Year-Olds with Speech Disorder
Authors:   Irkutsk State University, Murashova I. J. , Abdrakhmanova R. A. ,   Irkutsk State University
Published: June 2023

Relevance of the current study is determined by the importance of forming proper representation of temporal relations in the use of adverbs by preschoolers with speech disorders in the course of their cognition and speech development to prepare them for formal schooling. It has been found that 6–7-year-olds with speech disorders rarely reach a sufficient level of acquiring the vocabulary of temporal relations, which is often very poor. The level of the vocabulary of temporal relations doesn’t always correlate with the structure of speech defect. The author gives differentiated recommendations for specialists to help verbalize temporal relations in the use of adverbs by 6-7- year-olds with speech disorders. The article will be of use for preschool psychologists, speech and language pathologists, preschool teachers, and other educators.
Psychophysiological State of a Working Person: A Review of Foreign Views
Authors:   Technological University named after twice Hero of the Soviet Union, Pilot-cosmonaut A. A. Leonov, Spitsyna K. R.
Published: June 2023

The article presents a review of the works by writers of Western psychological school studying state of a working person (G. Z. Bedny, G. R. J. Hockey, M. Csikszentmihalyi, G. R. Hackman & J. R. Oldham, J. C. Vischer). The framework of categories of the concepts presented in the review is quite diverse and many terms have no adequate translation equivalent in the Russian language. It has been found that the concept “functional state” is rare in the mentioned works. The author outlined the main theoretical and methodological construct of studies (“state during working activity”), identified the basic approach of empirical research of working person’s state (“situational”), and considered assessment and correction techniques of working person’s state. The strategies for optimizing person’s state, which improve his or her working efficiency, have been outlined.
Sensor Network Based Smart Helmet for Bike Riders for Accident Prevention
Authors:   Assistant Professor Department of Electronics & Communication Engineering,  Sri Sairam college of Engineering, Anekal, Bengaluru, India, H S Savitha , Moger Rahshitha ,   Student Department of Electronics & Communication Engineering, Sri Sairam college of Engineering, Anekal, Bengaluru, India, L Poojarani ,   Student Department of Electronics & Communication Engineering, Sri Sairam college of Engineering, Anekal, Bengaluru, India, M Suchitra ,   Student Department of Electronics & Communication Engineering, Sri Sairam college of Engineering, Anekal, Bengaluru, India, H M Yashaswini ,   Student Department of Electronics & Communication Engineering, Sri Sairam college of Engineering, Anekal, Bengaluru, India
Published: June 2023

Road accidents are increasing day by day because riders do not use helmet and due to alcohol consumption. A huge amount in today's world people die in traffic accidents. Accidents can occur when using a smart helmet detected. The Project Goal is to design smart helmet in case of an accident alcohol avoidance and alcohol detection. The IR sensor checks if the person is wearing it helmet or not. The gas sensor recognizes the alcohol substance in the rider breath. If the person doesn’t have a helmet and if they are consuming alcohol, a bike won't start. If there are no signs of alcohol and a helmet is worn, then only the bike starts. The moment the rider met with an accident, the sensor recognizes the condition of the motorcycle and reports the accident. Then The GPS in the bike sends the location of the accident site to the main server nearby hospitals.
IoT Based Complete Green House Monitoring And Controlling System
Authors:   Assistant Professor Department of Electronics & Communication Engineering, Sri Sairam college of Engineering, Anekal, Bengaluru, India, . Radhika , J Jagan ,   Student Department of Electronics & Communication Engineering Sri Sairam college of Engineering, Anekal, Bengaluru, India, , Mohammad ,   Student Department of Electronics & Communication Engineering Sri Sairam college of Engineering, Anekal, Bengaluru, India, . Thilak ,   Student Department of Electronics & Communication Engineering Sri Sairam college of Engineering, Anekal, Bengaluru, India, . Bharath ,   Student Department of Electronics & Communication Engineering Sri Sairam college of Engineering, Anekal, Bengaluru, India
Published: June 2023

An overview of a greenhouse monitoring system that was constructed utilizing IoT devices and sensors is provided in this abstract. By offering real-time monitoring and management of environmental elements essential for plant development, the system attempts to optimize the cultivation process. Sensors with IoT capabilities gather information on temperature, humidity, light intensity, soil moisture, and CO2 levels, which is then sent to a central hub or cloud platform for analysis. The system has benefits including automation, data-driven decision-making, and remote monitoring. On their cell phones, farmers may get real-time data and warnings, allowing for flexible control of greenhouse operations. In order to find trends and recommend measures for enhancing agricultural output and resource utilisation, machine learning algorithms analyse the sensor data. Automation enables accurate environmental parameter management, lowering human error and increasing productivity. Farmers may increase crop output, maximise resource usage, and support sustainable agricultural practises by putting in place an IoT-based greenhouse monitoring system.
IOT Assisted ECG Monitoring Framework with Secure Data Transmission Application
Authors:   Assistant Professor, Department of Electronics & Communication Engineering, Sri Sairam college of Engineering, Anekal, Bengaluru, India, M Manjunatha , S S Prakruthi ,   Student Department of Electronics & Communication Engineering, Sri Sairam college of Engineering, Anekal, Bengaluru, India, A Adarsh ,   Student Department of Electronics & Communication Engineering, Sri Sairam college of Engineering, Anekal, Bengaluru, India, Kumar K Manoj ,   Student Department of Electronics & Communication Engineering, Sri Sairam college of Engineering, Anekal, Bengaluru, India, R Jayanth ,   Student Department of Electronics & Communication Engineering, Sri Sairam college of Engineering, Anekal, Bengaluru, India
Published: June 2023

The growing Internet of Things (IoT) frame work enables us to create tiny devices that are capable of sensing processing and communicating, enabling sensors, embedding devices and other' things 'to be created which will help to understand the environment. In this paper, the IoT assisted electrocardiogram (ECG) monitoring framework with secure data transmission has been proposed in this research. With the proposed IoT assisted ECG monitoring system, the development and implementation of a light weight ECG Signal Strength Analysis has been proposed for automatic classification and real time implementation, using ECG sensors, Arduino, Android phones, Bluetooth and cloud servers. The Light weight Secure IoT (LS-IoT) and Light weight Access Control (LAC) have been introduced for asecuredatatypetransmission.Real-timeanalysisandverificationareperformedontheECGsignalsobtainedfromtheMIT-BI Hand Physio Net Challenges databases as well as the ECG signals for various physical activities. The potential for determining the clinical acceptability of ECG signals to increase the effectiveness, accuracy, and dependability of an unsupervised diagnostic system is significant in the proposed IoT assisted ECG monitoring framework.
Range Extension of Drones Using 5G Communication
Authors:   Professor,Department of Electronics & Communication Engineering, Sri Sairam college of Engineering, Anekal, Bengaluru, India, T.N Prabakar , S Harshavadhan , K Likith , S Pramodh
Published: June 2023

Fire Accidents can cause serious injury and damages to the personnel and personal property. General Fire accidents occur often unexpectedly and sudden. Times of India published that, with 27,027 deaths, every fifth Fire related deaths in the world in 2017 took place in India. Around 9 million Fire incidents and 1.2 Lakh deaths were recorded across the globe that year. Thirty-five Indians die in Fire accident daily, says the National Crime Records Bureau (NCRB) based on the 12,748 lives in 2018.When the Fire service responders arrive on a Fire Scene, it is very difficult for them to predict the situation inside the building or any closed area subjected to Fire, so Drone can be a solution for the Firefighters to take decisions about where to concentrate resources and how to approach and enter the scene. Keywords—Drone, 5G Communication, Mobile, Fire extinguisher
Security Measures of Textual Data
Authors:   Professor & Head, Dept. of Computer Science and Engineering Sri Sairam College of Engineering Bangalore, India, J A Smitha , G Raj Rakshith , J Samuel Sumanth , P Yaji Pramath
Published: June 2023

As the volume and importance of textual data in data science continues to grow, combined with advancements in its techniques, it has created numerous opportunities for extracting valuable insights from textual information. However, privacy and the security of private data are issues that are brought up by the analysis of text data. This paper presents an in-depth analysis of security measures specifically designed for protecting textual data in data science applications. It explores various techniques and strategies to safeguard the confidentiality, integrity, and availability of textual data throughout its lifecycle. The objective is to provide data scientists and practitioners with a comprehensive understanding of the security challenges and best practices associated with textual data in the context of data science.
Implementation of Artificial Intelligence in Education
Authors:   Assistant Professor, Dept. of CSE,Dayananda Sagar University,Bengaluru, Karnataka 560114, India., Kumar Pradeep , S Nithiya ,   Assistant Professor/Head, Dept of CSE,  Saradha Gangadharan College, Pudhucherry, A Suguna ,   Assistant Professor, Dept of CSE, Sri Sairam College of Engineering, Bangalore, K B Kavitha
Published: June 2023

Artificial intelligence in education (AIED) applications have been made easier to implement largely to the quick development of computing technologies. In order to improve teaching, learning, or decision-making, AIED refers to the employment of AI technology or application programmes in educational contexts. This study analyses every facet of the education sector's use of AI tools and technologies in great detail. The findings show how we may integrate AI development into these teaching, learning, student assistance, and management technologies. This study attempts to show how AI is being used in learning and teaching in the digital age.
Digital Watermarking
Authors:   Sri Sairam College of Engineering, Bangalore, India, Thomas Reji , V Vibisha , A Tabassum , S Thanuja
Published: June 2023

The paper introduces the digital watermarking technology which is a data hiding technique that embeds a message into a multimedia work such as an image or text or other digital object. The proposed technique has several important applications; the majorly important is the digital copyrights protection. The digital watermarking system as any other data hiding technique has its own requirements that make the digital watermark strong as possible. Technologies of digital watermarking are mainly classified depending on their domain to spatial domain watermarks, Watermarks belonging to frequency (transform) domain and wavelet domain watermarks. The digital watermarks suffer from different types of attacks that include either state-of-the-art watermarking attacks or watermark estimation attacks. The recovery from these attacks requires strong detection techniques; the digital watermark agent provides a professional solution for these attacks.
The Impact of Social media on Mental Health
Authors:   Assistant Professor, Dept. of CSE, Sri Sairam College of Engineering, Bengaluru, India, H D Sowmya , P. Patil Pratik , Sambyal Sidharth , Nasir Md.Adnaan
Published: June 2023

Social media has become an integral part of our lives, with over 3.6 billion people using it worldwide. While social media can be a great way to stay connected with friends and family, it can also have a negative impact on mental health. Research findings have consistently demonstrated a correlation between social media usage and heightened levels of anxiety, depression, as well as feelings of loneliness. This is likely due to a number of factors, including the comparison trap, cyberbullying, and the constant stream of information
A Complete Overview of Cloud Computing
Authors:   Lecturer, Dept. Computer Application Akshara First Grade College, Anekal, India, N Shalini , H Arjun , Y M Mahantesh , . Rakesh
Published: June 2023

The Coronavirus pandemic has had a variety of effects on the legal system, its businesses, and activities, including the closing of law firms and courts, a decline in services, a lack of clients, the withdrawal of client schedules and settlements, a decline in the workforce's accessibility because of the virus or social exclusion, and difficulties holding clear appointments and services. As a result, the law has undergone a comprehensive transformation to include technology and keep up with the rapidly evolving digital world. This essay emphasizes the advantages and risks of cloud computing as it relates to the digitization of the legal profession. Additionally, Case Lines, a cloud-based application that is increasingly used for conducting court proceedings, will be covered.[1],[2]
A Food Recognition System for Diabetic Patients Based on an Optimized Bag-of-Features Model
Authors:   Assistant Professor,Dept.of CSE Sri Sairam College of Engineering, Bangalore, V.A Guruprasath , . Lavanya , Gowda Shreyas , Gowda T N Jeevan
Published: June 2023

Healthcare delivery might be completely changed by computer vision technologies. It might be used, in instance, to assess the carbohydrate content of meals for 1 diabetes patients. Based on the bag-of-features (BoF) paradigm, this paper suggests a way for automated food recognition. A thorough technical analysis was carried out to identify and optimize the components that make up the BoF architecture in order to guarantee the best outcomes. Also estimated were the associated parameters. A visual dataset with about 5000 food photos that was divided into 11 groups was developed in order to construct and test the prototype system. Using the scale-invariant 3 feature transform on the HSV colour space, the optimised method calculates dense local features. After that, it utilizes a visual dictionary with 10,000 visual words to create a linear support vector machine classifier is then used to categorize the food photos. The system demonstrated the viability of the suggested strategy in a very difficult picture dataset by achieving a classification accuracy of about 88%. By giving diabetes patients a more precise and effective means to control their carbohydrate consumption, this cutting-edge technology might have a profound effect on their quality of life.
AR and VR on Real Estate Mapping
Authors:   Asst.Professor, Department of CSE Sri Sairam College of Engineering, Bangalore, C Vinola , S Deepu , Reddy Kushal , Gowda Ankith
Published: June 2023

Augmented Reality (AR) and Virtual Reality (VR) technologies are currently prominent areas of research within the information technology field. These technologies have found extensive applications across various domains, including education, healthcare, construction, military operations, and entertainment. As research progresses on the technical aspects of AR and VR, it becomes crucial to simultaneously explore evaluation methods and optimization strategies based on user experience. The primary emphasis of this research centers on the domain of real estate exhibitions, serving as a foundation for conducting comparative experiments between augmented reality (AR) and virtual reality (VR) technologies in the context of real estate displays. The study meticulously selects suitable evaluation indices and employs quantitative methods to perform a comparative analysis of the evaluation results obtained from AR and VR experiments. The ultimate objective is to construct a user experience evaluation model specific to AR and VR technologies.
Effect of Silver Nanoparticles SILAR Cycle on TiO2 Nanoparticles Thin Film: Optical and Structural Study
Authors: Thomas Daniel , Danladi Eli , Ekwu Mary T. , Gyuk Philibus M. , Abdulmalik Muhammed O. , Echi Innocent O.
Published: June 2023

Titanium dioxide (TiO2) has gained a lot of research interests due to its applicability in electronic materials, energy, environment, health & medicine, catalysis etc as a result of its high permittivity, refractive index, efficiency, low-cost chemical inertness, eco-friendliness, photocatalytic activity, photostability and ability of decomposing a wide variety of organic compounds. In this study, the effect of silver nanoparticles (AgNPs) deposited through Successive Ionic Layer Adsorption and Reaction (SILAR) on the optical, structural and morphological properties of TiO2 was explored systematically. The investigation was achieved via a combined effect of UV-vis spectroscopy, Scanning Electron Microscope (SEM) and X-ray Diffractometer (XRD) characterizing tools. As illustrated from the SEM micrographs, introduction of AgNPs result to enhanced nucleation and films growth with presence of shining surface which can be seen to contribute to good photon management through enhanced light scattering. The XRD results showed that, the presence of AgNPs on TiO2 results to peaks corresponding to that of the TiO2 crystallographic planes with no silver peaks detected due to its low concentration in the nanocomposite which shows that it was just homogeneously distributed on the surface of the TiO2 nanoparticles. The UV-Vis results show a red shift to higher wavelength, showing an increase in visible light absorption which can be ascribed to the strong field effect of the Localized Surface Plasmon Resonance (LSPR). There was a decrease in band gap edge with introduction of AgNPs which indicated an increase in the optical conductivity of the AgNPs modified film.
Sensitivity and Evanescent Field Study of a Uniaxial Anisotropic Planar Waveguide Based Optical Sensor
Authors: Cherouana Abdelbaki , Bouchama Idris , Bencheikh Abdelhalim , Boudour Samah , Akhtar Muhammad
Published: June 2023

The effect of source, geometrical and physical parameters of slab waveguide on the sensitivity of optical sensor and its evanescent field have been investigated. The waveguiding film of LiNbO3 was fabricated and the observations revealed that the maximal sensitivities of Transverse Magnetic (TM) modes and their corresponding frequencies are greater than those for Transverse Electric (TE) modes. Furthermore, the optimal source parameters improve the maximal sensitivity and evanescent field in the cover. However, the increment in the core thickness reduces the sensitivity of sensor due to reduction in evanescent field in the cover. The sensitivity of sensor was observed as a function of refractive indices of cover, core and the substrate. The increase in refractive indices of cover and core, directly affect the sensitivity while an inverse relation has been observed regarding increase in the refractive index of the substrate. It is worth noting that, any changes in the physical parameters of waveguide sensor show an insignificant effect on the evanescent fields.
An Ab Initio Analysis of Structural, optical, Electronic, and Thermal Properties of Cubic SrSnO3 using Wein2k
Authors: Arya  , Kumar Aditya , Yadav Varsha , Bhaskar Hari Pratap , Kumar Sushil , Kumar Satyam , Kumar Upendra
Published: June 2023

This paper investigated the structural, optical, electronic and thermal characteristics of SrSnO3 perovskites that were calculated using the density functional theory. Software called WEIN2K is used to perform the calculation. According to our calculations, the band gap energy of the SrSnO3 is roughly 4.00 eV and it adopts a distorted cubic shape in the space group Pm3-m. The band structure and partial density of state reflects the major contribution of O 2p in the valence band while 5s orbital from Sn in the conduction band. The electron density plot significantly shows the contribution different clusters SrO12 and SnO6 that plays crucial role in electronic and optical properties. The creation of covalent bonds between the atoms of Sn and O as well as the ionic interaction between the atoms of Sr and O are both demonstrated by the electron density graphs and SCF calculation. The refractive index and extinction coefficient directly correlated with the real and imaginary part of complex dielectric function. Real part of dielectric function shows higher values at two major point of energy 3.54 eV and 9.78 eV associated with the absorption and optical activity of SrSnO3. Negative part of imaginary dielectric function part suggests metallic behavior also supported by -grep lapw method. Thermoelectric and thermal conductivity properties suggest the power factor need to be improved for the device application.
ANÁLISE DOS TIPOS DE ENGAJAMENTOS EM VÍDEOS PRODUZIDOS PARA O ENSINO DE QUÍMICA NO YOUTUBE EM 2021
Authors: Alves Neto Francisco de Assis , Leite Bruno Silva
Published: June 2023

As redes sociais fornecem um ambiente para a comunicação direta e rápida para um amplo público engajado com seus interesses pessoais (e acadêmicos). Em particular, o YouTube oferece um ambiente rico por meio do qual professores e estudantes de Química podem se envolver e construírem conhecimento. Nesse sentido, esta pesquisa teve como objetivo analisar os tipos de engajamentos presentes nos vídeos produzidos para o ensino de Química nos canais nacionais mais acessados na plataforma YouTube no ano de 2021, além de identificar os princípios da aprendizagem multimídia e os tipos de vídeos presentes. Para isso, a pesquisa foi realizada em quatro etapas: (I) seleção das páginas na plataforma do YouTube; (II) classificação dos canais a partir dos criadores de conteúdos; (III) Análise dos princípios da aprendizagem multimídia e dos tipos de vídeos; (IV) análise dos tipos de engajamento apresentados nos vídeos dos canais. Os resultados mostraram que três tipos de engajamentos foram observados nos canais analisados, sendo o emocional e cognitivo os mais presentes. Por outro lado, pelo menos cinco princípios da aprendizagem multimídia foram observados nos vídeos e que o vídeo como integração foi o mais abordado nas produções dos canais.
Sistemas de información y documentación regulatoria de El Salvador referido a migración y salud
Authors: Alvarado Ascencio Nelly Patricia , Castro Montoya Ana Patricia , Mendoza Salguero Guillermo Salvador
Published: June 2023

Objetivo.

Analizar en los sistemas de información y documentación regulatoria de El Salvador lo referido a migración y salud, desde la perspectiva de la salud internacional.

Método.

Se realizó una revisión detallada de los sistemas de información y documentación contenida en el Centro Virtual de Documentación Regulatoria del Ministerio de Salud de El Salvador. También, se realizó un análisis de la documentación regulatoria sobre migración y salud contenidos en las páginas web del SICA, Iniciativa Mesoamericana y Plan de la Alianza para la Prosperidad del Triángulo Norte.

Resultados.

Ninguno de los seis sistemas de información del Ministerio de Salud de El Salvador capta el estatus migratorio, acceso y uso de los servicios sanitarios. De los 52 documentos nacionales analizados, 50 no especifican acciones sobre migración y salud.

Conclusiones.

No todos los sistemas de información proporcionan el acceso y uso de los servicios de salud, tampoco, los comportamientos a favor de la salud ni alertas tempranas que son útiles para la toma de decisiones de las autoridades de salud. Los lineamientos del marco regulatorio salvadoreño no abordan acciones referidas a migración y salud.
Curative Effect and Complication Rate of Abdominal Myomectomy and Laparoscopic Myomectomy in the Treatment of Uterine Fibroids
Authors: Li Shuihua
Published: June 2023

Objective: To compare and analyze the clinical efficacy and complication rate of abdominal myomectomy with those of laparoscopic myomectomy in uterine fibroids. Methods: This study was carried out from January 2021 to January 2023 on 150 patients with uterine fibroids. The patients were divided into two groups, a study group (n = 75) and a control group (n = 75), by digital table grouping. Patients in the control group underwent abdominal myomectomy, whereas patients in the study group underwent laparoscopic myomectomy. Surgery-related indicators, incidence of complications, ovarian function indicators, recurrence rate, and pregnancy rate were compared between the two groups. Results: The surgery-related indicators of the study group were lower than those of the control group (P < 0.05 ); the incidence of postoperative complications was lower in the study group than in the control group (P < 0.05); the postoperative ovarian function indicators of the study group were lower than those of the control group (P < 0.05); there were no significant differences in postoperative recurrence rate and pregnancy rate between the two groups (P > 0.05). Conclusion: For patients with uterine fibroids, abdominal myomectomy and laparoscopic myomectomy have similar recurrence and pregnancy rates, but laparoscopic myomectomy can shorten the recovery time and reduce the incidence of complications and the impact on ovarian function. Therefore, the latter should be applied in clinical settings.
New Progress of Clinical Application of Nicorandil in the Treatment of Coronary Heart Disease
Authors: Wang Lingbo , Wang Chengguo
Published: June 2023

Nicorandil (NIC) is a calcium channel blocker, which has been widely used in the treatment of coronary heart disease (CHD). Although NIC has shown good efficacy and safety clinically, there are still some unresolved issues with its therapeutic mechanism and pathway of action. Studies in recent years have shown that the clinical application of NIC in the treatment of CHD has made new progress, such as being widely used in stable angina pectoris (AP), myocardial infarction, and percutaneous coronary intervention (PCI). In this article, we discuss the new progress of NIC in the treatment of CHD.
Advising Personnel Impact on Latinx Student Outcomes: The Moderating Role of Belonging
Authors:   , Ortiz Stacey
Published: June 2023

Despite the recent surge in college enrollment rates by Latinx students (Fry & Lopez, 2020), this population historically remains among the least educated in the United States (National Center for Education Statistics, 2019). To effectively work with Latinx students, Institutions of Higher Education must provide services that cater to their unique needs (Harackiewicz & Priniski, 2018) and understand relational processes that improve graduation rates (Duenas & Gloria, 2017). As a result, three factors were examined that impact graduation rates: academic outcomes associated with degree completion (Wyman, 1997), academic advising (Kim & Sax, 2014; Noel-Levitz, 2014), and sense belonging (Maestas et al., 2007; Hausmann et al., 2007). The present study is deemed significant because it focused on the role that sense of belonging and advising plays on historically underrepresented Latinx college students’ academic outcomes related to attainment. As hypothesized, there was a significant difference in Latinx college student academic outcomes between students that were advised by professional advisors and students whom faculty advisors advised. Student sense of belonging was also found to be significantly different for both types of advising personnel. Lastly, sense of belonging had a moderating role in the relationship between academic advising personnel and Latinx college student academic outcomes.
Analisis Kesulitan Belajar Fisika Siswa SMA melalui Kemampuan Multirepresentasi pada Pembelajaran Tatap Muka Masa Transisi COVID-19
Authors: Theasy Yoan
Published: June 2023

Tujuan dari penelitian ini adalah untuk mengidentifikasi bagaimana kesulitan belajar fisika yang dialami oleh siswa melalui kemampuan multirepresentasi pada soal pemecahan masalah fisika. Penelitian ini dilakukan melalui metode kualitatif model grounded theory dengan teknik pengumpulan data dilakukan secara triangulasi (gabungan) observasi, tes, wawancara, dan dokumentasi. Siswa kelas X yang berjumlah 25 siswa di SMA Negeri 1 Palangkaraya Tahun ajaran 2022/2023 sebagai subjek penelitian. Hasil analisis data menunjukkan bahwa kemampuan multirepresentasi siswa kategori tinggi, sedang dan rendah memiliki kecenderungan representasi matematis (M) dengan nilai persentase masing-masing 75%, 85,7%, dan 78,57%. Kesulitan belajar fisika yang dialami adalah merencanakan solusi (memahami bahasa soal dan solusi penyelesaian) dan melaksanakan rencana solusi (proyeksi gaya, menentukan komponen gaya yang bekerja pada benda, menentukan persamaan, pengaplikasian, perhitungan).

Kata Kunci:

Kesulitan Belajar Fisika; Multirepresentasi; Pemecahan Masalah; Transisi COVID-19

Analysis of Difficulty Learning Physics for High School Students through Multirepresentation Ability in Face-to-Face Learning During the COVID-19 Transition

ABSTRACT
The purpose of this research is to identify how difficulty learning physics who experienced by students through multirepresentation abilities in solving physics problems. This research was conducted through a qualitative method of grounded theory model with data collection techniques carried out by triangulation (combined) observations, tests, interviews, and documentation. Class X students a total of 25 students at SMA Negeri 1 Palangkaraya as research subjects for the academic year 2022/2023. The results of the data analysis showed that the high, medium, and low categories of students' multirepresentation abilities tended to represent mathematically (M) with percentage values of 75%, 85.7%, and 78.57% respectively. Difficulty learning physics experienced were planning solutions (understanding the language of questions and solving solutions) and carrying out solution plans (force projections, determining the components of forces acting on objects, determining equations, applications, and calculations).
Ecoterrorism in Recent Climate Fiction
Authors: Milner Andrew
Published: June 2023

Ecoterrorism is widely discussed – and sometimes practised – by environmental activists, but rarely represented in climate fiction. This essay explores three recent ‘cli-fi,’ novels which do in fact address the issue, one from Finland, one from the US, and one from Australia: Antti Tuomainen’s The Healer (2013), in Finnish Parantaja (2010), Kim Stanley Robinson’s The Ministry for the Future (2020) and J.R. Burgmann’s Children of Tomorrow (2023).