bluuebunny/crossref_metadata_2025 huggingface dataset:
Вплив імплантації електрокардіостимулятора на неврологічну симптоматику та когнітивні функції пацієнтів iз брадіаритміями
Authors: Stadnik S.M.
Published: April 2023

Метою нашої роботи було дослідити неврологічну симптоматику й когнітивний статус пацієнтів із брадіаритміями після імплантації електрокардіостимуляторa (ЕКС) у ранньому періоді та протягом лонгітудинального дослідження. Матеріали та методи. Сорок шість пацієнтів із різними формами брадіаритмій розподілені на 2 групи залежно від терапії: 1-ша група — 29 осіб, яким проведена первинна імплантація ЕКС; 2-га група — 17 пацієнтів, яким для корекції брадіаритмій застосовували медикаментозну терапію. Огляд пацієнтів проводили на початку лікування, через 10 днів, 6 і 12 місяців. Оцінка ефективності лікування грунтувалася на динаміці неврологічної симптоматики, когнітивних функцій, показників центральної та церебральної гемодинаміки, маркерів системного запалення. Результати. У хворих 1-ї групи спостерігалося більш виражене регресування неврологічної симптоматики порівняно з пацієнтами 2-ї групи. На фоні імплантації ЕКС відмічено значне покращення всіх когнітивних функцій: пам’яті, уваги, швидкості мовлення, зорово-просторового та симультанного гнозису, мовленнєвої активності, а також емоційного статусу. Поліпшення показників центральної та церебральної гемодинаміки після імплантації ЕКС полягали насамперед у позитивному міокардіальному ремоделюванні, збільшенні швидкісних показників кровотоку по екстра- й інтракраніальних відділах сонних артерій. Позитивна клінічна динаміка поєднувалася із вірогідним зниженням умісту прозапальних цитокінів, що свідчило про зменшення активності імунного запалення. Висновки. Імплантація ЕКС покращує неврологічний статус і сприяє зменшенню вираженості когнітивних та афективних розладів у хворих із брадіаритміями за рахунок покращення систолодіастолічних характеристик лівого шлуночка, скоротливої функції міокарда лівого шлуночка, центральної гемодинаміки, функціонального стану мозкового кровотоку, зниження активності імунного запалення.
Роль елімінаційної дієти в профілактиці головного болю при мігрені
Authors: Hrytsenko O.Ye. , Kopchak O.O.
Published: April 2023

Актуальність. Мігрень — це генетично обумовлений складний розлад, що характеризується епізодами помірного або сильного головного болю, найчастіше одностороннього та зазвичай пов’язаного з нудотою та підвищеною чутливістю до світла та звуку. Мета роботи: оцінити принцип та режим харчування у пацієнтів з різними формами мігрені залежно від супутніх захворювань шлунково-кишкового тракту; уточнити харчові тригерні фактори, які впливають на головний біль при мігрені; вивчити вплив елімінаційної дієти на частоту та інтенсивність нападів головного болю при мігрені, показники психоемоційного статусу та якість життя. Матеріали та методи. Дослідження включало 112 учасників з хронічною та епізодичною формою мігрені (97 жінок та 15 чоловіків) віком від 20 до 50 років (33,6 ±5,3). Усі учасники були розподілені на дві групи: А — хворі на хронічну та епізодичну форму мігрені, які дотримувались елімінаційної дієти протягом 3 тижнів, Б — хворі на хронічну та епізодичну форму мігрені, які не дотримувались жодних типів дієт. Результати. При аналізі даних перед початком впровадження елімінаційної дієти виявлено, що середній показник інтенсивності головного болю при мігрені за візуально-аналоговою шкалою (ВАШ) та якості життя за шкалою MIDAS суттєво відрізнялися між двома досліджуваними групами (р < 0,05). У групі А на тлі застосування елімінаційної дієти вірогідно зменшився показник інтенсивності головного болю за ВАШ (р  = 0,03), а також вірогідно знизилась частота нападів головного болю (р  = 0,003). Водночас у групі В середній рівень частоти та інтенсивності головного болю не зазнав вірогідних змін (р > 0,05). Висновки. Застосування елімінаційної дієти у пацієнтів з мігренню може бути ефективним у запобіганні нападам та зниженні інтенсивності головного болю. Однак навіть елімінаційна дієта має багато недоліків, деякі продукти є складними і містять багато інгредієнтів, отже, складно визначити один конкретний інгредієнт як тригер.
Неврологічне й функціональне відновлення після інсульту при лікуванні в інтегрованому інсультному блоці в Україні
Authors: Flomin Yu.V.
Published: April 2023

Актуальність. Якісна медична допомога сприяє поліпшенню результатів лікування мозкового інсульту (МІ), але оптимальна модель стаціонарного лікування поки не визначена. Мета дослідження: оцінити динаміку неврологічного дефіциту та функціональної спроможності пацієнтів з МІ протягом їх стаціонарного лікування в інтегрованому інсультному блоці (ІІБ) у різні періоди захворювання. Матеріали та методи. Зібраний і проаналізований набір даних пацієнтів з інтрапаренхіматозними МІ, які були госпіталізовані в ІІБ у 2010–2018 рр. у різні періоди захворювання. Усі МІ за типом поділені на внутрішньомозковий крововилив та ішемічний мозковий інсульт (ІМІ). Тяжкість МІ оцінювали за National Institutes of Health Stroke Scale (NIHSS), базову щоденну активність — за індексом Бартел, повсякденну життєдіяльність — за модифікованою шкалою Ренкіна (мШР). Якісні змінні виражені через частоту й відсотки, кількісні змінні — як медіана і міжквартильний інтервал (МКІ). Статистичний аналіз проводився в пакеті MedCalc®. Результати. У дослідження були включені 852 пацієнти (42,7% жінок, 80,9% ІМІ) віком від 20 до 95 років (медіана 66,7 року, МКІ 57,7–75,0), з яких 168 (19,7 %) були госпіталізовані протягом найгострішого (0–24 години), 165 (19,4 %) — гострого (1–7 діб), 288 (33,8%)— раннього підгострого (8–90 днів), 86 (10,1 %) — пізнього підгострого (91–180 днів) і 146 (17,2%) — віддаленого періоду (пізніше за 180 днів) МІ. Оцінка за NIHSS після госпіталізації варіювала від 1 до 39 балів (медіана 11 балів, МКІ 6–18). Після стаціонарного лікування вдвічі (з 22,4 до 43,1 %) збільшилась частка легких (NIHSS= 0–5 балів) МІ і більше ніж удвічі (з 36,9 до 16,9 %) зменшилась частка тяжких або дуже тяжких МІ (NIHSS ≥ 14 балів). У 169 (70,7 %) із 239 пацієнтів, які надійшли в найгострішому або гострому періоді, оцінка за індексом Бартел перед випискою була 75–100 балів. За мШР 68 (8,0 %) пацієнтів мали початкову оцінку 0–1 бал, 95 (11,1 %) — 2 бали, 109 (12,8 %) — 3 бали, 223 (26,2 %) — 4 бали і 357 (41,9%) — 5 балів. Перед випискою більше ніж удвічі (з 20,1 до 45,1 %) зросла частка пацієнтів, які досягли рівня незалежності від сторонньої допомоги (мШР = 0–2 бали), і більше ніж удвічі (з 66,6 до 31,1 %) зменшилась частка пацієнтів з тяжкими обмеженнями життєдіяльності (мШР = 4–5 балів). Медіана оцінок за мШР значуще (p < 0,05) зменшилась в усіх періодах МІ як у пацієнтів з ІМІ, так і в пацієнтів з внутрішньомозковим крововиливом. У 184 (71,3 %) з 258 пацієнтів, які були госпіталізовані в найгострішому або гострому періоді МІ, досягнутий сприятливий функціональний результат лікування (мШР = 0–3 бали). Висновки. Результати лікування у вітчизняному ІІБ свідчать про суттєве неврологічне й функціональне відновлення пацієнтів з МІ і відповідають показникам у країнах з високим рівнем доходів.
More discussion on Female ghost (Witches) Vs. Fairy Character in Chinese Classic Legend Novel
Authors: Luan Nguyen Van , Huy Dinh Tran Ngoc , Linh Nguyen Van
Published: April 2023

This paper aims to present More discussion on Female ghost (Witches) Vs. Fairy Character in Chinese Classic Legend Novel. Medieval folklore is the primary source for the creation, proof, and preservation of “fairy tales.” This study mainly use historical method and qualitative analysis methods And authors use examples as stories and tales in ancient time. Next, we see the unique connection between fairies and community history, which is perhaps the outstanding feature of Vietnamese fairy tales in comparison with medieval Chinese fairy tales.
Analyzing the Reasons for Formulating the Belt and Road Initiative
Authors: Wang Kun
Published: April 2023

The discussion over the impetus behind the Chinese government's actions in the realm of international relations has become more intense since the 1970s when China began the platform of reform and opening up. Based on The related literature, there are different kinds of opinions related to this issue. On the one hand, according to some academics, China's foreign policy is intended to showcase its tremendous might and begins with its own interests. According to particular academics, the foreign policy of the Chinese government focuses on cultural inclusiveness and takes social consensus as a central starting point. By using the example of the Belt and Road Initiative (BRI) to illustrate the variables influencing the formation of China's foreign policy, this study primarily examines the factors that influence foreign policy in China. Besides, the International relations (IR) theory and political heuristic theory will be used to carry out the discussion. The methodology of this paper will rely on secondary data to study the different views of the academic community and propose a foreign policy that China could adopt in the future.
Gesture Controlled Wheelchair with IoT Based Fall Detection
Authors: Mishra Prashant , Mistry Shruti , Kumari Meera , Trivedi Vardhan , Ghonge Pandharinath
Published: April 2023

Abstract: Any kind of accident related to falling can cause serious injuries to the victim. Fall can happen arbitrarily and anywhere without one’s preparation for remedy. The situation is aggravated especially for an incident occurring at a deserted place where the afflicted victim may be unable to notify other people for help. Disabled people who are bound to a wheelchair are more susceptible to an incident of falls and the accompanying issues. So, we have provided a technical model where the event of falling off a wheelchair is detected. A multitude of IoT-based services has been provided to alleviate the need to notify the intended person about the fall for getting the immediate help required at that moment. An alarm is also provisioned to notify other people in the vicinity. The provision for gesture-based movement for the wheelchair is also provided to operate the wheelchair in case of emergency when other people are not around and it works using inputs from an accelerometer which is also used for fall detection.
Off-Line and Online Handwritten Character Recognition Using RNN-GRU Algorithm
Authors: Kanmani Dr. S. , Sujitha B. , Subalakshmi K. , Umamaheswari S. , Reddy Karimreddy Punya Sai Teja
Published: April 2023

Abstract: Recognizing handwritten characters is an extremely difficult task in the domains of pattern recognition and computer vision. It involves the use of a process that enables computers to identify and convert handwritten or printed characters, such as letters and numbers, into a digital format that is usable by the computer. Currently, the RNN-CNN hybrid algorithm is employed to predict handwritten text in images with an accuracy rate of 91.5%. However, the existing system can only recognize characters and words character-by-character and word-by-word. The proposed system aims to address this limitation by enabling line-byline recognition and the conversion of handwritten text to OCR. To achieve this, the system utilizes the GRU algorithm to predict the next letter in incomplete words. Furthermore, the IAM dataset, consisting of 135,000 annotated sentences, is utilized to detect and rectify spelling errors in texts.
On-Site Maintenance Services by Using Web 3.0 and React JS
Authors: Sahani Suraj , Saroj Vishal , Yadav Sandeep , Kamble Mayuri , Bothra Rajesh
Published: April 2023

Abstract: This paper explores the impact of Web 3.0 and semantic web technologies on business, highlighting the potential for new business models to emerge. Web 3.0 represents a paradigm shift from an information-centric approach to a knowledge-centric one, allowing people and machines to connect, evolve, share and use knowledge on an unprecedented scale. The integration of semantic technologies in Web 3.0 has the potential to drive significant improvements in efficiency, cost reduction, enhanced effectiveness, and introduce new functionalities that were previously unfeasible. Through an analysis of the role and impact of Web 3.0 in business, this paper identifies nine potential business models that have emerged as a result of semantic web technologies. Preventive Maintenance also may cause unneeded repair of parts that still have remaining useful life. Condition Based Maintenance (CBM) is a proactive maintenance approach that takes into account the real conditions of the parts using sensors and then offers.
Effect of Lateral Reinforcement on Strength and Ductility of Reinforced Concrete Columns
Authors: Lahase Praful , Ahmed Mahroof
Published: April 2023

Abstract: Concrete confined by stirrups has a greater ductility than unconfined concrete which is widely used in reinforced concrete (RC) structures and its behavior is a classic topic ofdiscussion. Non-linear behavior of reinforced concrete is complex due to involvement of various heterogenic material properties and cracking behavior of concrete. It is very important to understand the response and failures of columns subjected to lateral loadsin order to save lives and reduce the damage to the building components. ANSYS is widely used finite element analysis (FEA) software which has the tools to analyze structural elements and their non-linear behavior based on the finite element procedure The failure prediction of reinforced concrete elements is usually carried out using experimental testing, and the observations are recorded only at critical locations due to restriction at the cost of testing equipment and accessories. To avoid the destructive testing, cost-cutting of materials and labor, the behavior prediction of reinforcedconcrete elements is typically carried out using numerical methods like Finite Element Method which responds well to non-linear analysis as each component possesses different stress-strain behavior. In this study, reinforced concrete columns were modeled having different tranverse reinforcements and subjected to axial loads along with monotonic lateral loading, their behavior is studied in terms of deformation, stress, strain, crushing/cracking and forcedisplacement curves.
Stock Time Series Prediction Using Machine Learning Techniques
Authors: Sindhu Ganti Rohini Krishna , Penumatsa Lakshmi Prasanna , Mavuri Amrutha Varshini , Alla Rishitha , Bebarta Dr. Dwiti Krishna
Published: April 2023

Abstract: Stock is a place where buying and selling of shares be for intimately listed companies and stock exchange is the middleman that allows buying and selling of shares. Stock request vaticination is a grueling task due to the largely noisy, complex and chaotic nature of the stock price data. The intraday patterns are linked using the point engineering schemes and several machine literacy techniques. The deep literacy styles are combined with rearmost machine literacy models to rognosticate the direction of the ending price. Accuracy plays an important part in stock request vaticination. Although numerous algorithms are available for this purpose, opting the most accurate one continues to be the abecedarian task in getting the stylish results. In order to achieve this we're combining different models and creating a hybrid model( LSTM with GRU) which provides better accuracy.
Smart Agriculture System Using IoT Based
Authors: Bhoyar C. N.
Published: April 2023

Abstract: Agriculture is becoming an important growing sector throughout the world due to increasing population. Major challenge in agriculture sector is to improve farm productivity and quality of farming without continuous manual monitoring to meet the rapidly growing demand for food. Apart from increasing population, the climate change is also a big concern in agricultural sector. The purpose of this research work is to purpose a smart farming method based on internet of things (IOT) to deal with the adverse situations. The smart farming can be adopted which offer high precision crop control, collection of useful data and automated farming technique. This works presents a smart agriculture system which monitors soil humidity and temperature. After processing the sensed data, it takes necessary action based on these values without human intervention. In IOT-based smart agriculture, a system is built for monitoring the crop field with the help of sensors (light, humidity, temperature, soil moisture, etc) and automating the irrigation system. IOT (internet of things) in an agricultural context refers to the use of sensors, cameras, and temperature and moisture of the soil measured and these sensed values are stored in things speak cloud for future data analysis.
GettSett: A Courier Delivery Application
Authors: Sharma Abhishek Rajesh , Hande Akanksha Rohidas , Chalke Sakshi Sanjay , Rathod Sonali Navnath , Hariharan Dr. Siddharth
Published: April 2023

Abstract: A courier delivery application is the solution that automates the courier delivery process, by delivering the parcel from one place to another very efficiently. Therefore, this platform is created to provide safe and fast delivery which also include parttime employment for people who join as a delivery partner. There is also an admin page that includes all the details regarding both end the user and the delivery partner. So this project includes two Android applications; one website is connected with the help of Firebase. The delivery which is created by the user will be pushed to the application which is created for a delivery partner. All the details of the user and the delivery partner will be stored and maintained on the admin page for security purposes. Many functions such as notification, query section, live tracking, rewards and coupons, wallet, calculator, etc. are included in the getter. So the platform GettSett is a combination of Getter (the application which provides employment) and Setter for the user who wants to deliver a parcel from one place to another.
Revolutionizing Human-Computer Interaction through Brain-Machine Interface: An EEG-Based Approach
Authors: Patole Uttam R. , Sinha Krishnagopal Rajesh Kumar , Khairnar Gaurav Prakash , Zinjurde Ritik Shivram , Chauhan Sanika Jitendrasingh
Published: April 2023

Abstract: Human-Machine Interface (HMI) devices, such as keyboards and mice, have been the primary means of input for computers since their inception. However, these devices have limitations that make them unsuitable for individuals with motor disabilities, motor impairment, or diseases such as paralysis, muscular dystrophy, polio, cerebral palsy, and others. This limits their ability to fully engage in computer-related activities, which can have a significant impact on their quality of life. This research paper proposes that new and emerging technologies, such as Brain-Machine Interface (BMI) and Machine Learning (ML), could be utilized to design a more convenient and accessible HMI solution that improves the quality of life for individuals with physical disabilities. BMI technology enables communication between the brain and external devices, while ML can analyse data and make predictions based on patterns and models. Combining these technologies can provide a more intuitive and adaptive interface that can detect and respond to the user's intentions and needs
Estimation and Analysis of CO2 emission in Thermal power plants
Authors: G S Gopika , C Dhanusri , Saravanan Prof. Dr. V.
Published: April 2023

Abstract: Global warming can be reduced and sustainability can be achieved by reducing greenhouse gases emission. Therefore, it is helpful to know the forecast of CO2 emission in the southern region states. Knowing the comparative analysis might help to change the source of power generation to renewable. The data source is taken from the southern region load dispatch center (SRLDC). Carbon dioxide emission values were estimated using the method proposed by Central Electricity Authority. The random forest regression method has been used to forecast the emission values. The data were divided into training and testing sets for better results. The results showed the increasing nature of CO2 emission from power stations. The model could be used to forecast the emission values either for next month or next week. The accuracy for the model was favorable in the range from 0.80 to 0.92. From comparing the results of the states, it could be noticed which state has used its renewable power stations wisely to reduce greenhouse gases emission.
An Analytical Study of Employee Performance and Its Relationship with Equal Opportunities in Service Industry
Authors: Tiwari Dr. Richa , Gupta Mr. Vivek , J Parvathi , Choudhary Anchal , Singh Anamika , Jain Garv T
Published: April 2023

Abstract: Equal opportunities are a crucial element among employees in workplace so as to enhance performance and achieve social justice within the community. Therefore, the equal opportunity isn't a slogan to be raised, or claim to be invited, but it is a political will and national strategy. This research aims to spot the contributions and therefore the effects of equal opportunities on the worker performance in workplace and analyses the effectiveness of equal opportunities on employee performance among employees. There are organizational processes that result in class, racial and gender inequalities. Many inequalities occur because of implicit bias. Many people argue that women derive their social status from the men around them, such as their fathers and husbands. This is because femininity, throughout history, has been associated with procreation and family education. The scale of equal opportunities namely; equal opportunity, equal employee training, equal payment, recruitment and selection. The result of the analysis shows positive impact on equal employment opportunities and employee performance in the organization. Thus, this text is significance as its concerning on the long run directions moreover as addresses other variables within the workplace which may be utilized to enhance this area.
Era of Sustainability in Textile Industry: A study on Rising Concerns towards Sustainable Fabrics in Indian Fringe
Authors: Jaheer Abdullah , S Ukesh , Saran T. , Sarda Nikunj , Tomar Siddharth , Tiwari Prof. Richa , Gupta Prof. Vivek
Published: April 2023

Abstract: Introduction: The textile industry is one of the biggest and most complex businesses in the world, confronting numerous environmental and social challenges. Feasible textile generation is getting to be progressively imperative to decrease the negative environmental and social impacts of textile generation. The scale and productivity of economical textile generation is key to guaranteeing that textile generation meets natural guidelines and social responsibility. Aim of the Research: Is to understand the behavioral pattern of consumers towards accepting and purchasing Sustainable Fabrics and apparels, and under different circumstances.
A Study on Perception of Consumers on E - Vehicles in Bengaluru
Authors: Tiwari Dr. Richa
Published: April 2023

Abstract: The emergence of EVs and technology is a constant topic of discussion around the world. The government has also raised awareness of EVs across the country and focused on reducing emissions and improving air quality, so there has always been a focus on EVs and their benefits. The purpose of this study is to give consumers a rational idea of the advent of electric vehicles. This will help educate consumers about the current scenario of EVs and their advantages over conventional vehicles. The data used in this study is collected by Snowball sampling of 123 respondents in an online questionnaire. A pilot study conducted before the main study also provided better insight into the market. The positive correlations found between factors point to a bright future for electric vehicles. Key factors such as reliability, smooth driving, fast charging and environmental friendliness are some of the criteria that consumers consider when choosing a vehicle. Raising awareness of electric vehicles and their benefits could also be an important step. In the future, we will be able to conduct detailed studies on the environmental impact of electric vehicles and technological progress in this area. In Bengaluru as a city, the EV industry is growing rapidly, creating jobs, reducing operating costs, and advancing technology over the years.
An IOT Application Towards Smart Agriculture
Authors: Bagchi Debjyoti , Sil Dr. Sanjib , Singh Sinjini , Maity Swastika , Patra Aindrila , Dutta Saumyadip
Published: April 2023

Abstract: One of the main Sustainable Development Goals of the UN is to end hunger in the entire globe by 2030. To make this a reality, agricultural lands must become more productive. Low yields from several rural Indian agricultural fields result in low production. These agricultural fields face numerous problems, such as a lack of water supply, uneven manure application over the field, timely pesticide application, etc. One of the difficulties farmers have been facing is to provide enough water to their fields in a timely manner. To address this issue, farmers must physically inspect their field plots to determine the moisture content and water needs specific to each crop. In this paper, we explore this subject in order to address a massive issue by introducing microcontroller based semi-automated system. The results of the testing of the complete system are quite positive
Blockchain and Cryptography Communication System
Authors: Lakshmi J. Guru
Published: April 2023

Abstract: Blockchain is an innovative technology that overcomes these threats, allowing sensitive operations to be decentralized while maintaining a high level of security. Eliminate the need for trusted intermediaries. The blockchain is accessible to network nodes and keeps track of all transactions that have taken place. The goal of our work is to offer a secure communication solution based on blockchain technology. In this project, we explain why blockchain should secure communications and offer a blockchain-based messaging design pattern that maintains the performance and security of data stored on the blockchain by using a smart contract to protect identity and associated verify public key and validate a user certificate. The system is entirely a combination of blockchain and cryptography for communication systems
Mid Rise Building having Oblique Column with and without Damper: A Review
Authors: Vijayan Anand , George Raiza Susan
Published: April 2023

Abstract: As the modern culture of living develops, conventional regular shaped buildings are getting outdated with new designs of complex irregular shaped structures. That irregularity became the new mode of measuring the modernity and development of that society. The complex shapes demands the need of designing irregular shaped structural elements too. One of that structural elements is oblique columns. The Oblique columns are inclined or slanted or rotated at an angle to reference line. Oblique columns are stiffer and the initial stiffness of the reinforced concrete frames largely depends upon the stiffness of oblique column. For oblique column of below 90°, there will be a decrease in plan dimensions and for above 90°, there will be increase in plan dimensions as we reach upper floors. It affects the lateral stiffness of these buildings. Compared to standard columns, oblique columns of below 90° have lesser storey shear values and oblique columns of above 90° have higher storey shear values. Stiffness of reinforced concrete frames with oblique columns depends on the distribution of oblique columns. The lateral loads are resisted by structure with oblique columns of below 90°, the highest storey displacement is less in oblique structure as compared to the easy RC Frame building. The building is analyzed with and without viscous dampers. In this review paper, attempts are made to review the previous studies related to buildings with oblique columns and dampers. It aims at consolidating the outcomes of several attempted kinds of research to improve the overall stability of the buildings with oblique column.
Cryptocurrencies’ Values determined and advantages of Cryptocurrencies investments
Authors: Kumar Dr. Nirmal , Sharma Dr. Ashish Kumar
Published: April 2023

Abstract: As long as the government continues to print and distribute currency, inflation will rise and spread across society. A well-functioning government or financial institution isn't necessarily a bad thing if it monitors the market and keeps an eye on the amount of money being issued at any one time. Economic growth and prosperity may be aided by even a little bit of inflation. In other cases, courts have found no misconduct on the part of the government. Since the economy was floundering, they continued to pour cash into it. Hyperinflation occurs when the currency loses almost all of its value. On the other side, investing in digital currencies provides instant access to your money, wherever you are or whatever time of day or night you need it. Despite the fact that your money is still invested, you have the freedom to withdraw it anytime you choose. It is quite legal to withdraw funds from your investment account in the case of an emergency. It's possible that the market may decline and you'll be able to withdraw your money before it's all gone. In this piece of the paper, we will discuss about the cryptocurrencies and its’ investments’ advantages.
Human Resource Management from an Ethical Conduct
Authors: Sharma Dr. Ashish Kumar , Kumar Dr. Nirmal
Published: April 2023

Abstract: "Business ethics" refers to a company's moral duty to its employees to support balance, fairness, and justice. Safety in the workplace, respect, fairness, privacy, basic human rights, fair treatment of workers, and honest processes are all part of human resource management's ethical scope. For example, many companies that let people work from home think that it's important to keep an eye on their employees. Ethical time tracking lets companies keep track of what their workers are doing without going against their morals. To do this, the quality of stored voice and video is on purpose made worse. So, once Human Resources has learned the ethical problems that come up in their field, they will be better able to find and keep good people, since it is generally agreed that it is up to the person to make ethical decisions. Ethics are becoming more important in human resource management for a number of reasons. These include globalization, which has forced organizations to change their policies to work in the global economy, and rising competition, which has forced businesses to look for new ways to get ahead and make more money. The company has begun to think about how making ethical decisions could give it an edge in the market. This is because it is important to make sure that any business decisions are based on only the right information. In this paper, we will discuss about the HRM and its ethical conduct.
Calculation of the Comparative Efficiency of Algorithms Using a Single Metric
Authors: Chakraborty Arya
Published: April 2023

Abstract: While time complexity and space complexity of an algorithm helps to determine its efficiency when time or space needs to be optimized respectively, they fail to determine the more efficient algorithm when time and space both need to be optimized simultaneously. This resulted in the development of the A1-Score Factor which solve the problem i.e., helps to find the algorithm which optimizes both time and space simultaneously. The following research paper contains the hypothesis, the proof, the theoretical and the graphical implementation of the A1-Score Factor along with the use cases of the same.
Stress Detection Based on Naïve Bayes Algorithm
Authors: ' Sriyansh , Upadhyay Sumit Kumar , Varshney Yash , Banoth Sreenu
Published: April 2023

Abstract: Stress is a prevalent issue that affects individuals' mental and physical well-being, leading to various health problems. The use of machine learning (ML) has been gaining popularity as a tool for stress detection. ML techniques have shown promising results in identifying patterns and features from various physiological and behavioral data sources such as heart rate, blood pressure, and speech signals. The primary goal of stress detection using ML is to provide accurate, non-invasive, and costeffective methods for early stress detection and intervention. Overall, stress detection using ML holds great promise in providing an objective, efficient, and scalable approach for stress monitoring and intervention. Further research is required to address the challenges associated with data collection, feature extraction, and model generalization to diverse populations and contexts.
Review on IOT based Transmission Line Fault Detection
Authors: Hatwar Amol , Shende Chetan , Kolhe Anshika , Hardas Mrs. Vedanti
Published: April 2023

Abstract: The electrical system is made up of numerous unique parts. One of these is the transmission system, which involves sending electricity from substations and substations to consumers along power lines. This paper provides a review of the research being done for Internet of Things-based transmission line fault detection.
Design of Secured Bilingual Voice Enabled System for Visually Challenged using Ensemble Model
Authors: Saraswathi Dr. S. , K Ms. Rajarajeshwarie. , P Ms. Monisha. , V Mr. Praveen.
Published: April 2023

Abstract: One of the most significant developments in recent years has been the evolution of voice assistants. The primary necessity in the design of Private Voice Assistant is to identify the user’s utterances correctly. Additionally, security and privacy of the users have become a major concern, especially visually challenged. In this paper, we propose a secured voice assistant that blends convolutional neural network (CNN) and Gaussian mixture model (GMM). The proposed system performs a multitudinous range of functionalities mainly focusing on Email and Document management with user authentication wherever necessary. The system is designed to support English and Tamil languages. The system includes a range of functionalities, such as MS Word automation for both English and Tamil voice typing, Google and YouTube automation, reading specific pages of PDF and reading the latest Gmail messages.
Introductory Experiential Learning in IPE Teams: Changes in Team Collaboration and Cultural Attitudes and Beliefs
Authors: Farris Karen , Anderson Olivia , Bavireddy Vinoothna , Bishop Thomas , Marshall Vincent D
Published: April 2023

Background: An introductory, longitudinal, authentic experiential IPE opportunity named LIFE was delivered. The objectives were to 1) compare attitudes, including cultural attitudes and beliefs, and team behaviours of learners over time, and 2) assess association between participation in LIFE and changes in team attitudes and performance. Methods: Students (n = 48) from eight schools worked in eight teams. Each team was assigned to a patient/family, who was asked about health and healthcare experiences. Students completed Students’ Perceptions of Interprofessional Clinical Education–Revision 2 (SPICE-R2), Cultural Attitude and Belief Scale (CABS), and Interprofessional Collaborator Assessment Rubric (ICAR). Analyses focused on differences over time for all participants and by team.
Findings: Knowledge of roles improved for four teams, and five teams showed improvements in “techniques” to interact with diverse patients. Notably, “communication,” “collaborative working,” and “roles” changed across three teams for ICAR. One team showed improvements in all three assessments and two teams showed little to no changes.
Conclusion: LIFE was associated with improvements in “roles” and “techniques” to help teams interact with diverse patients.
Evolución y tendencias de la investigación científica en circuitos cortos de comercialización: análisis bibliométrico internacional.
Authors: Villatoro Hernandez Jessica Geraldine , Vidal Álvarez Monserrat , Vázquez Elorza Ariel
Published: April 2023

Los Circuitos Cortos de Comercialización (CCC) son formas de circulación de productos agroalimentarios que tienen como finalidad el acercamiento de productores y consumidores, la promoción del comercio justo y el acceso a alimentos locales. El estudio de los CCC es un área del conocimiento en desarrollo. El objetivo de la investigación es realizar un análisis bibliométrico sobre la evolución y el estado actual de la investigación científica internacional de los CCC e identificar las tendencias y oportunidades de investigación específicamente en Latinoamérica. Para ello, se realizó un análisis bibliométrico, mediante las bases de datos Dimensions y Redalyc, durante el periodo 2000 al 2021 y se procesaron en el software VOSwiever. Los resultados arrojan un total de 253 documentos y se determina que Europa representa el 67% de la investigación sobre CCC; no obstante, en América del Norte y América Latina se observa una creciente producción de investigaciones, principalmente en estudios de caso, las cuales representan el 25%. Las áreas del conocimiento donde hay mayores estudios son las ciencias sociales, la administración y la economía. Se concluye que Covid-19, seguridad alimentaria y políticas agroalimentarias son áreas de oportunidad para la investigación vinculada a los Circuitos Cortos de Comercialización en Latinoamérica.
Ensaios em perspectiva filosófica e teológica - III
Authors: Gurgacz Glaci , Regina Corrêa Márcia
Published: April 2023

Ao apresentarmos esta terceira edição, não poderíamos deixar de agradecer aos autores, que gentilmente colaboraram para publicação deste livro. A obra contempla reflexões teológicas e filosóficas instigantes e relato de um trabalho pastoral com imigrantes. Esta edição tem por objetivo continuar incentivando os estudiosos da teologia a iniciarem ou aprofundarem as pesquisas. Esperamos que a organização deste novo volume seja mais um passo no sentido de estimular outras pessoas envolvidas nos estudos teológicos a publicarem seus textos.
The anisotropic fatigue short crack initiation and propagation behaviours of a directionally solidified (DS) superalloy CM247LC at room temperature
Authors: Tan Yuanguo , Octaviani Sari , Gao Nong , Reed Philippa
Published: April 2023

The effects of mechanical and microstructural anisotropy on short
fatigue crack initiation and propagation behaviours of a directionally
superalloy have been studied. An unusual result was found where the
fatigue lives of specimens with grains longitudinally aligned along the
loading direction fail at lower lifetimes than the specimens with
transversely loaded grains when the applied stress is close to the yield
stress. This is mainly attributed to the lower Young’s modulus of the
longitudinal specimen, which induces more local plastic strain (at
stress concentration features) leading to earlier crack initiation and
faster crack propagation under the applied test stress.
Norwegian Offshore Wind Power -- Spatial Planning Using Multi-Criteria Decision Analysis
Authors: Solbrekke Ida Marie , Sorteberg Asgeir
Published: April 2023

The Norwegian government recently agreed on the goal 30by40 which
involves opening Norwegian offshore areas to host 30 GW of installed
wind power by 2040 (Regjeringen, 2022).We address this goal by
presenting a first mapping of wind power suitability scores (WPSS) for
the entire Norwegian economic zone (NEZ) using a multi-criteria decision
analysis framework (MCDA), including an analytical hierarchical process
(AHP) approach. We obtain WPSS considering relevant criteria like wind
resources, techno-economic aspects, social acceptance, environmental
considerations, and met-ocean constraints such as wind and wave
conditions. The results starts with a baseline scenario, where the
criteria importance are pair-vise compared in the context of balancing
economic incentives and conflicting interests. Additionally, to reveal
regions that are robust to changes in criteria importance we carry out a
sensitivity analysis by introducing three additional scenarios. These
scenarios represent actors with distinct preferences for siting of wind
farms: the investor, the environmentalist, and the fisherman. The
results show that the southern part of the NEZ is the most suitable
region for offshore wind power deployment. This region receives the
highest suitability category (“very high” suitability for wind power
application) throughout all the scenarios. Areas in the Norwegian part
of the Barents Sea and the near-coastal areas outside mid-Norway are
also well suited regions, but these are more sensitive to the choice of
criteria importance. The use of AHP within the framework of MCDA is
shown to be a promising tool for pinpointing the best Norwegian offshore
areas for wind power application.
Modelling dynamic stall of an airfoil with vortex generators using a double-wake panel model with viscous-inviscid interaction
Authors: YU Wei , Bajarūnas Lukas , Zanon Alessandro , Ferreira Carlos Simao
Published: April 2023

Vortex generators (VGs) have been widely applied to wind turbines thanks
to their potential to increase aerodynamic performance. Due to the
complex inflow perceived by a rotor and the proneness to flow
separation, VGs on wind turbines usually experience highly unsteady
flow. While there are models that exist to simulate the steady effects
of VGs, we lack a fast and efficient tool to model the unsteady
performance of airfoils equipped with VGs. This paper adopts an unsteady
double-wake panel model with viscous-inviscid interaction developed to
simulate a vertical axis turbine in dynamic stall, adding the capability
of predicting the dynamic aerodynamic performance of VG-equipped
airfoils. The results of a series of steady and unsteady cases of an
airfoil with different VG configurations in various pitch motions in
free and forced transition are verified against experimental data.
Results show that the double wake model offers sufficient accuracy
results compared to experimental data to claim the model’s validity in a
preliminary evaluation of an airfoil’s capability to prevent stall with
VGs. While a few limitations are still identified for improvement, the
model’s accuracy in predicting the transition location, separation and
reattachment, and drag forces into future development.
Impact of coronavirus (COVID-19) pandemic on households’ livelihood: Empirical evidence from Sokoto State, North Western Nigeria
Authors: Zoramawa Lawali Bello , Hassan Adamu
Published: April 2023

This study investigates the impact of coronavirus (covid-19) pandemic on
households’ livelihood in Sokoto State, Nigeria using a survey dataset
for a sample of two hundred and seventeen (217). The study applied mean
and standard deviation in analyzing the data and finding suggests that
covid-19 has negatively has negatively affected the household’s
livelihood in terms of food security, market accessibility, and income
generation activities and women and youths empowerment. The study
further revealed that the pandemic put on negative influence on social
activities of the households such as children education, social
structure and gender relations. Furthermore, the study concludes that,
covid-19 has negative effects on cultural activities of the households
such as community events, funeral activities, ceremonies, sports
activities and cultural values. In addition to covid-19 pandemic, this
study also indicated that psychological behaviour of household such as
sustainable behavior, uncertainty; infections fears and family relations
were negatively affected. From the foregoing, this study recommends the
needs for the government to create a window in fiscal policy that will
accommodate any unforeseen health challenges in the future. Based on the
previous experience, the study further recommends the urgent need for
the households to be on alert on the future pandemic
Rare clinical forms of chronic brucellosis
Authors: Pshenichnaya N. Yu. , Gopatsa G. V. , Sergeeva T. V.
Published: April 2023

Brucellosis is the most common and severe infectious disease in the group of zoonotic infections. This disease is characterized by a multisysitemic lesion. The difficulties in diagnosing this disease are associated with the pathogenetic features of the development of brucellosis, namely prolonged bacteremia, which causes the development of secondary foci of infection in various organs and tissues, manifested by a variety of clinical manifestations, the erasure of symptoms of the disease, as well as the appearance of rare clinical forms of brucellosis.

One of the rare clinical manifestations of chronic brucellosis is the defeat of the cardiovascular system and the defeat of the nervous system. According to the latest literature data, cardiovascular complications of brucellosis in humans account for only 3%, but are the main cause of death in 80%. Damage to the nervous system is rare, with a registered frequency of 3% to 13%.

Clinical manifestations of neurobrucellosis are diverse and can mimic many other neurological diseases. The most common manifestations of brucellosis may be meningitis, meningoencephalitis. Despite the rare occurrence, these forms of the disease are severe, lead to disability and mortality with late diagnosis. The article presents clinical cases of brucellosis with lesions of the heart and central nervous system.
Instruction to autor
Authors: Editorial Article
Published: April 2023

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Epistemisk urettferdighet og motstand i livet til familier med barn med nedsatt funksjonsevne
Authors: van den Breemer Rosemarie
Published: April 2023

In this article I explore epistemic injustice and resistance in structural care relationships between healthcare professionals and families with children with disabilities. I address some of the specific epistemic challenges that these families can face and elaborate on them in light of Fricker’s (2007) framework of epistemic injustice. I argue that families of children with disabilities are doubly vulnerable to testimonial injustice. Negative prejudices like being a ‘lost cause’ or ‘lacking agency’ towards the child can lower his/her status as a knower. However, this can also affect the parent’s epistemic status. Parents are at risk of not being believed by healthcare providers because they are associated with the marked child and prejudged as, for example, ‘overemotive’ or ‘in denial’. Drawing on Foucault’s notion of counter-conduct, I also show how speakers (families) are not necessarily entirely powerless. Even in cases in which they are not believed, they can deploy important strategies of resistance. This focus on counter-conduct can complement Fricker’s framework and make the debate on epistemic injustice more sensitive to the theme of speaker resistance. Furthermore, describing acts of counter-conduct might convince parents that their resistance matters, even if it is not always immediately successful.
Kristent arbeid for døve som makt og motmakt i perioden 1930–1945
Authors: Lid Inger Marie
Published: April 2023

The chapter explores and discusses Christian religious work for deaf people with disabilities in the period of the eugenics, 1930–1945. The minister for the deaf Lutheran church in Norway, Conrad Bonnevie-Svendsen had a leading role both in the church and at the Home of the deaf, a diaconal institution providing a home and care services for deaf persons with disabilities. As a minister, Bonnevie-Svendsen had a leading role in the underground work under the Nazi occupation of Norway. Simultaneously, the Home of the deaf initiated and administered a work farm for deaf men with disabilities, segregating the deaf from the rest of the society. The Christian philanthropic work for deaf thus both adapted to the contemporary practice of segregation and worked against the occupation. This ambivalence is discussed in light of Foucault’s theory of counter conduct.