bluuebunny/crossref_metadata_2025 huggingface dataset:
COVID-19 crisis and stock market volatility in Nigeria
Authors: Onuorah Anastasia C , Ehiedu Victor C , Ezekiel Okoh
Published: April 2022

The economic downturns locally and internationally due to the COVID-19 crisis were the main motivation for this study. However, rather than broadly examining economic indices, this paper focused on the reaction of the Nigerian stock market in terms of volatility to the crisis. The specific objectives of the study were to identify differences in market performance due to the COVID crisis, determine volatility persistence and ascertain the leverage effects of the news on stocks on the stock exchange floor. Adopting an ex-post facto research design, monthly time-series All-Share Index data were analyzed using descriptive statistics, GARCH(1,1), and EGARCH models. It was found that volatility existed in the market during the COVID-19 crisis however volatility persistence was low. EGARCH results showed asymmetric parameters did not exist revealing the form of leverage effect COVID-19 posed to the market. The market thus had identical responses to both bad and good news of COVID-19 announcements of the same magnitude. It was recommended that regulatory authorities and policymakers be proactive in their approach to forecasting market performance to reduce the negative effects of bad news on market indices.
Negative online reviews and consumer purchase intentions for search and credence goods
Authors: Dudutari Bereprebofa , Ifeanyi Aloamaka Judith , Francis Ndudi
Published: April 2022

This study examined the relationship between negative online reviews and consumer purchase intention. For this study, we used product-brand-related negative online reviews, dealers-related negative online reviews and platform-related online reviews, while the purchase intention of online shoppers was used to proxy consumers' purchase intention. Negative online reviews were considered in the areas of accessibility, reliability, genuineness, integrity, lead time, user-friendliness, security and satisfaction. To achieve the objectives of the study, a sample of 200 users of online shopping platforms spread across three major cities namely Asaba, Warri and Sapele in Delta State, Nigeria was drawn using the convenience sampling technique. Data were analyzed using the multiple regression estimation techniques. The results of the study indicate that negative online reviews have an inverse and significant relationship with consumer purchase intention. Specifically, product/brand-related negative online reviews, dealers-related negative online reviews and platform-related negative online reviews significantly discourage consumers' purchase intention. This study, therefore, recommends that negative reviews should be reduced by organizations managing online shopping platforms.
Multivariate analysis of efficiency of energy complexes based on renewable energy sources in the system power supply of autonomous consumer
Authors:   Renewable Energy Engineering Department, Faculty of Engineering, Amman Arab University Jordan, Amman, Jordan, Handam Ahmed , Al Smadi Takialddin ,   College of Engineering, Jerash University, Jerash, Jordan
Published: April 2022

The aim of this study is a multivariate analysis of energy pools based on renewable energy sources in the energy supply system for the independent consumer. The research provides the mathematical formula for optimizing the main parameters and processes of the energy complex (EC) on the basis of renewable energy sources (RES) to supply energy to many independent rural consumers in the Hashemite Kingdom of Jordan. Methodology and computation models can take into account additional conditions and constraints, data, which give flexibility and versatility to the computation models. The use of methods and guidelines at the design stage will increase the competitiveness and cost-effectiveness of the Jordanian government based on reliance on alternative energy sources, and improve the overall cost to independent consumers of low energy in rural areas. The article is devoted to the solution of the problem of developing technical solutions for multivariate analysis efficiency of energy complexes based on renewable energy sources in the system power supply of autonomous consumers. However, current global trends are such that the cost of electrolyzes and fuel elements decrease, and their reliability increases. To study the economic efficiency of the application of the hydrogen accumulation system, two models were included in the calculation program. In the first of the model, the increase in diesel fuel prices corresponded to inflation, in the second, the increase in diesel prices fuel outstripped inflation by 5-10% per year. Paying attention to the first option showed that to use the system accumulation of hydrogen is not economically feasible.
The role of audit committees in improving the earnings quality
Authors:   Faculty of Business Administration, Northern Border University, Arar, Saudi Arabia, Al-Otaibi Abdullah , Nashat Mohamad ,   Business School, Sohag University, Sohag, Egypt
Published: April 2022

The research aims to measure the impact of the audit committee’s characteristics on earnings quality. A set of characteristics of the audit committee have been relied upon, perhaps the most important of which is the independence of the audit committee, its size, activities and experience, and its members ’ownership of the company's shares. The study was applied to a sample of companies in the countries of the Gulf Cooperation Council. The optional maturity variable was also relied upon to reflect the earnings quality in the sample under study. The study found the impact of the formation of the audit committee on the companies that make up the study sample for the countries of the Gulf Cooperation Council. Where the study found a positive impact on the earnings quality for the independence of the audit committee and the activities of the audit committee and the experience of the audit committee. There is also a positive impact on the audit committee members ’ownership of the company's shares, while there was a negative impact on the size of the audit committee. The study recommended the necessity of increasing the effectiveness of the audit committee in supervising the process of preparing financial reports and increasing the earnings quality.
The Identification 5S nrDNA Unit Classes in Genera of Plants and Selected Non-Vertebrate Animals and Their Potential for the Study of Species Relationships
Authors:   University of Ottawa, Faculty of Science, Department of Biology, 30 Marie Curie, ON K1N 6N5, Ottawa, Canada, Baum Bernard R. , Johnson Douglas A. ,   University of Ottawa, Faculty of Science, Department of Biology, 30 Marie Curie, ON K1N 6N5, Ottawa, Canada
Published: April 2022

We have investigated the utility of the 5S nrDNA, a conserved, multicopy gene family organized into tandem repeats as a tool for genetic analyses in a wide variety of genera. Previous work in the Triticeae (Poaceae) demonstrated that the prior identification of unit classes based upon the 5S nrDNA NTS, greatly facilitates analysis. We investigated the potential of defining unit classes in other plant genera and several animal genera as a step towards future phylogenetic analyses. Our results demonstrate that in in several plant and animal genera there are sufficient numbers of DNA accessions in GenBank™ to point to different unit classes within species and that in some genera several potential unit classes are found across species. These results justify both more in-depth sampling within species and more breadth in sampling within. Further investigation of additional DNA sequences will help to define true unit classes.
Alcohol Withdrawal Induced Malignant Catatonia and Response to Bromocriptine: Case Report
Authors:   Loyola University Medical Center, 2160 S. First Ave, Maywood, IL 60153, United States, Schumaker Ashley , Klauber Rachel ,   Loyola University Medical Center, 2160 S. First Ave, Maywood, IL 60153, United States, Aasen Margaret ,   Loyola University Medical Center, 2160 S. First Ave, Maywood, IL 60153, United States, Padua Michael ,   Loyola University Medical Center, 2160 S. First Ave, Maywood, IL 60153, United States, Meresh Edwin ,   Loyola University Medical Center, 2160 S. First Ave, Maywood, IL 60153, United States
Published: April 2022

Catatonia and malignant catatonia may result in devastating and life-threatening complications like pulmonary embolisms, pneumonia, deep venous thrombosis, rhabdomyolysis, and even death. There have been documented cases implicating alcohol withdrawal as a significant culprit in catatonia. Here, we provide a unique case report of a patient with a complicated medical course, who subsequently developed malignant catatonia secondary to severe alcohol withdrawal, and was successfully treated using both first line treatment of catatonia (lorazepam), and second-line treatment (bromocriptine). Mr. KR is a 32 year-old male with a psychiatric history significant for severe alcohol use disorder, developed fevers, rigidity and dysarthria throughout his admission despite a full negative infectious workup. He was intubated twice, he received his first doses of bromocriptine 2.5mg BID on day 29 of hospitalization. On day 30, he was extubated, and by day 31 he was afebrile, his rigidity and dysarthria had subsided, and he was able to converse coherently. Further titration of bromocriptine (up to 2.5mg every six hours on days 33-37) showed continued improvement, and the patient was eventually transferred out of the ICU. On day 37, a bromocriptine wean was initiated, which KR tolerated and showed continued improvement with return of some baseline activities and resolution of dysarthria. This case report demonstrates the need for increased suspicion for alcohol withdrawal catatonia in patients with a complicated course of alcohol withdrawal, and illustrates a previously undocumented etiology for malignant catatonia.
پێگەو سروشتی یاسایی دەستە سەربەخۆكان‌
Authors: امين لطيف مصطفى , عبدالكریم شادی غازی
Published: April 2022

دەستە سەربەخۆكان ڕۆڵی گرنگ دەبینن لە دامەزراندنی حكومڕانی باش‌ لە دەوڵەتی دەستوریدا, بۆیە ڕۆژبەڕۆژ گرنگی بەم دەستانە لە زیادبووندایە، كە لە ڕێكخستنی دەستوری ئەو دەوڵەتانەدا وەك گەرەنتییەك بۆ پاراستنی سەربەخۆییان باس دەكرێن بەڵام لە یاسادا بە شێوەیەكی ووردتر ڕێكدەخرێن بۆ ئەوەی بتوانن ئەو ڕۆڵەی كە بۆیان دیاری كراوە بە باشی بگێڕن. ژمارەیەك لەم دەستانە لە ناوەڕاستی سەددەی ڕابردوودا بە پشتبەستن بە ڕێكخستنی دەستوری‌و دەقە دەستورییەكان دروست بوون لە هەندێك دەوڵەتدا بە تایبەتی دەوڵەتە یاساییەكان, پاشان لە لایەن یاسادانەرانەوە یاسای تایبەت بەم دەستانە دانراوە. وە لە ڕووی سیاسییەوە، ئەو ژینگە دیموكراسییەی كە لەم دەوڵەتانەدا هاتە ئاراوە، ڕۆڵێكی گەورەی لە سەرهەڵدانی ئەم دەستانە بینوە، چونكە بیرۆكەی سەربەخۆیی ئەو دەستانە دەتوانێت پەیوەندی ڕاستەوخۆی لە گەڵ گەشەكردنی دیموكراسیدا هەبێت, كە ئامانج لێی نەهێشتنی گەندەڵی‌و بەدیهێنانی دیموكراسیەت‌و بنەماكانیەتی. بۆیە لەم توێژینەوەیەدا تیشك دەخەینە سەر ئەوەی كە تا چەند ئەم دەستانە سەربەخۆن, بە تایبەتی لە ڕووی كارگێڕی‌و دارایی‌و ئەندامییەوە. هەروەها لە ڕووی سروشتی یاسایی دەستە سەربەخۆكانەوە ئایا ئەم دەستانە دەسەڵاتی كارگێڕین یان خاوەن سروشتێكی دادوەرین یاخود لە پاش سێ دەسەڵاتە كلاسیكییەكان (یاسادان‌و جێبەجێكردن‌و دادوەری) دەستە سەربەخۆكان وەكو دەسەڵاتی چوارەم دادەنرێت. كە ئەمەش بە پێی دەقە دەستوری‌و یاساییەكانی تایبەت بەم دەستانەو بڕیارەكانی دادگای باڵای فیدراڵی عێراق‌و ڕاوبۆچوونی یاساناسان‌و توێژەران شیكراوەتەوە, كە لە توێژینەوەكەدا گرنگیان پێ دەدەین.
Therapeutic Alliance in Web-Based Treatment for Eating Disorders: Secondary Analysis of a Randomized Controlled Trial
Authors: Stoeten Claudia , de Haan Hein Arnoud , Postel Marloes Gerda , Brusse-Keizer Marjolein , ter Huurne Elke Daniëlle
Published: April 2022

Background

In face-to-face therapy for eating disorders, therapeutic alliance (TA) is an important predictor of symptom reduction and treatment completion. To date, however, little is known about TA during web-based cognitive behavioral therapy (web-CBT) and its association with symptom reduction, treatment completion, and the perspectives of patients versus therapists.

Objective

This study aimed to investigate TA ratings measured at interim and after treatment, separately for patients and therapists; the degree of agreement between therapists and patients (treatment completers and noncompleters) for TA ratings; and associations between patient and therapist TA ratings and both eating disorder pathology and treatment completion.

Methods

A secondary analysis was performed on randomized controlled trial data of a web-CBT intervention for eating disorders. Participants were 170 females with bulimia nervosa (n=33), binge eating disorder (n=68), or eating disorder not otherwise specified (n=69); the mean age was 39.6 (SD 11.5) years. TA was operationalized using the Helping Alliance Questionnaire (HAQ). Paired t tests were conducted to assess the change in TA from interim to after treatment. Intraclass correlations were calculated to determine cross-informant agreement with regard to HAQ scores between patients and therapists. A total of 2 stepwise regressive procedures (at interim and after treatment) were used to examine which HAQ scores predicted eating disorder pathology and therapy completion.

Results

For treatment completers (128/170, 75.3%), the HAQ-total scores and HAQ-Helpfulness scores for both patients and therapists improved significantly from interim to post treatment. For noncompleters (42/170, 24.7%), all HAQ scores decreased significantly. For all HAQ scales, the agreement between patients and therapists was poor. However, the agreement was slightly better after treatment than at interim. Higher patient scores on the helpfulness subscale of the HAQ at interim and after treatment were associated with less eating disorder psychopathology. A positive association was found between the HAQ-total patient scores at interim and treatment completion. Finally, posttreatment HAQ-total patient scores and posttreatment HAQ-Helpfulness scores of therapists were positively associated with treatment completion.

Conclusions

Our study showed that TA in web-CBT is predictive of eating disorder pathology and treatment completion. Of particular importance is patients’ confidence in their abilities as measured with the HAQ-Helpfulness subscale when predicting posttreatment eating disorder pathology and treatment completion.
A Nurse-Led Multimedia Intervention to Increase Patient Participation in Recovery After Knee Arthroplasty: Hybrid Type II Implementation Study
Authors: McDonall Jo , Redley Bernice , Livingston Patricia , Hutchinson Ana , de Steiger Richard , Botti Mari
Published: April 2022

Background

Advances in digital technology and the use of multimedia platforms to deliver information provide clinicians with a unique opportunity to develop innovative ways to consistently provide high-quality, accessible, and evidence-based information to support patient participation. Introducing new technologies into everyday acute care clinical practice can be difficult.

Objective

The aim of this paper was to provide a description of an implementation strategy and the subsequent evaluation undertaken to examine the contextual factors important to the successful adoption of new technology by nurses in the context of acute postoperative care.

Methods

Implementation of the intervention and process evaluation was undertaken in 3 phases: phase 1, preimplementation stakeholder engagement and identification of barriers and enablers to implementation; phase 2, supported implementation of the intervention; and phase 3, evaluation of uptake, usability, and acceptability of the intervention in clinical practice.

Results

The outcomes of the implementation of the multimedia intervention in the context of acute postoperative care were positive. Of the 104 patients in the intervention group, 103 (99%) received the intervention. All 103 patients completed the 8-item intervention questionnaire and 93.3% (97/103) were interviewed on day 3 to evaluate usability, uptake, and acceptability. Of these 97 patients, almost all (n=94, 91%) found the program easy to use and most (n=64, 62%) could view the MyStay Total Knee Replacement program as often as they wanted. The findings also suggest that the time to implement the program was minimal (5-10 minutes). Collaboration with nurses and patients before and during implementation to identify potential barriers to successful implementation of the intervention was essential to develop timely strategies to overcome these barriers. To ensure end-user engagement, careful consideration was given to nurses’ views on who was responsible for facilitating this intervention.

Conclusions

The findings provide evidence that the structured implementation of the multimedia intervention was robust and successful in terms of patient participant recruitment and application; however, it was difficult to assess the level of engagement by nurse clinicians with the program.

Trial Registration

Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12614000340639; https://anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12614000340639
Capitalism, Colonialism, Morality Renovation in John Keats’s Isabella or The Pot of Basil
Authors: Shen Zhiting , Cui Dan
Published: April 2022

This paper aims to interpret the capitalist economy and class polarization in John Keats’s narrative Isabella. The authors analyzed primitive accumulation of capitalism and the capitalist mode of production, the division of social status and consciousness between bourgeoisie and proletariat, bourgeois ideological crisis, namely the bourgeoisie. Meanwhile, the authors endeavor to interpret the aesthetic poetic solutions that Keats tentatively found to realize the bonding of Lorenzo and Isabella and the salvation of the transcendental soul, in order to reveal the inhuman exploitation of the capitalist mode of production and Keats’s criticism of the moral decay of the bourgeoisie. Instead of complaining and lamenting about the misery and degradation, John Keats pinned high expectation onto the salvation power of Greek civilization and British poetry.
Substance Abuse and Associated Factors among Female Students in Jigjiga University, Eastern Ethiopia
Authors: Ahmed Ahmed Seid , Komicha Mohammednur Abdo
Published: April 2022

The use of drugs such as alcohol, khat, and tobacco has become one of the increasingly serious public health and socioeconomic concerns globally. Young people at higher learning institutions are a particularly susceptible demographic in terms of drug usage. In fact, the problem is considered to be on the rise, and has become a cause of concern for different parties. However, there is a little evidence on the extent of drug misuse and related variables among University students in, Ethiopia which compelled this study to be undertaken. The purpose of this study was to investigate the prevalence of drug use and related variables among female students in Jigjiga University. Institution based cross sectional research design was conducted. Multi stage sampling approach was utilized. List of all female students from the designated departments were the sampling frame. Data were obtained using self-given questionnaire by six data collecting facilitators. The obtained data loaded into Epi Data version 3.1 and then exported to SPSS version 20. Bivariate and multivariate analysis was done to discover variables linked with the drug usage. Lifetime drug usage was determined to be 48.7 percent. However, the most often used substances were alcohol (44.7 percent) khat (12.5 percent ), cigarettes (7.7 percent ), and other illegal drugs (6.4 percent ). Lifetime substance use was positively associated with off campus residence [(AOR= 1.702, 95 percent CI: (2.763, 3.798)], having boyfriend [(AOR= 2.299, 95 percent CI: (1.063, 4.970))], sexually violated [(AOR= 7.525, 95 percent CI: (3.316, 17.077))], and witness parental violence during childhood [(AOR=2.690, 95 percent CI: (1.318, 5.487)]. Significant number of students abuse drug with some proportion of Students’ abuse khat, alcohol and cigarette together. Having boyfriend, been sexually assaulted, witness parental violence throughout childhood and off campus residence are highly connected with substance misuse. From this it can be also established that drug use habit is quite knotty which need a counteractive activity to take the edge off its destructiveness. In order to make it true all stakeholders should attempt to take their roles across all level of intervention.
Employee’s Emotional Intelligence and Innovation Performance in China’s International Joint ventures: The Moderating Role of Leadership Style
Authors: An Zhou
Published: April 2022

This paper explores the relationship between emotional intelligence, leadership style and employee’s innovation performance. Information was collected by distributing 400 questionnaires to Indonesian employees from China’s International Joint Ventures (IJV) operating in Indonesia. A total of 217 valid questionnaires were received. The results of the study indicate that emotional intelligence and three kinds of leadership styles (transformational, transactional and paternalistic) are positively related to employee’s innovation performance. All of these leadership styles except transactional leadership style are found to moderate the relationship between emotional intelligence and employee’s innovation performance. This study further enriches the literature in the field of human resource management. Managerial suggestions for China’s IJVs are also provided in this study.
Literature Review on Industrial Process Optimization by Lean Manufacturing of Techniques
Authors: Shah Hiten , Sahoo Shubham , Rajwadkar Shreeganesh , Sonavane Jayesh , Dalvi Amit
Published: April 2022

Abstract: The main role of lean production is to save money, produce production rate, and decrease all kinds of wastes [1]. Now a days all industries are trying to produce a good quality product, increases productivity so they are use lean tool and keep a float in market [2]. Single Piece Flow means that transporting parts during process from one step to next step is done without WORKIN-PROCESS (WIP) involved in between single piece or a small batch at a time [3]. The main purpose of Single Piece Flow is to improve effectiveness and increase productivity, shorter cycle time by eliminating waste and various lean methods [3] [4]. Line Balancing is essential in all the production lines but there are always some bottlenecks in theassembly line which results in a lot of wastages. Here, they discuss lean line balancing as a simple tool forthe improvement in the electronics assembly line [5]. This paper summarizes problems, models and algorithms on robust assembly line balancing and discusses further on research [6].
Covid Safety System
Authors: Sodagra Hinal , Umraliya Dhruv , Shah Ruchi , Nagpurkar Shripad , Pawar Prof. Prajakta
Published: April 2022

Abstract: In this paper a Raspberry Pi based automated solution system focused on the real-time face monitoring of people to detect both face masks and body temperature with the help of MLX90614 sensor has been proposed. This is implemented using Python Programming with OpenCV Library, TensorFlow, Dlib Module. A security clearance system is deployed that will allow that person to enter if they are wearing a face mask and their body temperature is in check with WHO guidelines. A programmed hand sanitizer apportioning machine is mechanized, non-contact, liquor-based hand sanitizer gadget. Liquor is essentially a dissolvable, and furthermore a generally excellent sanitizer when contrasted with fluid cleanser or strong cleanser, likewise it needn't bother with water to wash off since it is unpredictable furthermore, disintegrates in a split second after application to hands. It is too demonstrated that a convergence of >70% liquor can execute Covid in hands. Here, we have used IR sensor detects the hand put close to which detectsthe distance and the outcome isthe pump starts running out the hand sanitizer.Thus, the above said system will help the society by saving time and also helps in contaminating the spread of coronavirus. This can be implemented in public places such as colleges, schools, offices, shopping malls, etc. to inspect people. Keywords: Deep Learning, Open CV, Keras, Python, Tensor Flow, Computer Vision, Raspberry Pi, COVID-19, DLib, Sensor, Sanitizer, Infrared sensor.
The Fellow Traveller: A Machine Learning Approach to Travel Management
Authors: Kumar Yogesh
Published: April 2022

Abstract: Even after the presence of multiple services which helps us in travelling like Uber, Ola, Make My Trip, Goibibo etc, the travelling enthusiasts or peoples who are going on vacation don’t have proper platform where they can plan their entire trip at one place. There are so many places where only local rental services is available means no online cab services, no platform to contact a guide, platform to book self-driving vehicles, to check the current and predicted weather conditions of the destination, proper expense splitter if travelling in group and a platform which can predict the proper ways through which you can travel to the destination in a set budget. These problems demands an application which helps to manage all the travelling requirements like rental vehicles, hotels, activities, budget manager, expense splitter if travelling in group etc. Also to provide direct contacts of local drivers, help centres, emergencies etc. An application which can use machine learnings prediction system like Support Vector Regression Model and Adaptive Neuro Fuzzy Inference Systems, Expectation Maximization and Self-Organizing Map for clustering techniques and for dimensionality reduction, Principal Component Analysis.It will be really helpful to all the travel enthusiasts as well as this platform can also provide broader scope to the local vendors and peoples of the entered destination as it will directly connect the travellers to them, and it can recommend best services to ease the travel. It will also provide air pollution report and alternative tour plan. Index Terms: Travel Management, Prediction, Recommendation, Machine Learning, Alternate Planning
RF Tracking System for Assets Using IOT
Authors: Bhavitha Ch. , Yuvaraju D. , Kumar B. Pavan , Giribabu D. , Krishna G. Rama
Published: April 2022

Abstract: Today's most well-known location tracking systems are GPS systems. These systems, on the other hand, are not capable of determining an entity's exact location within a building or on a certain floor or room. As a result, we propose a smart asset tracking system that enables for the tracking of things within a building or institution. To create this system, the proposed system makes use of rf technology as well as IOT. In addition, we are monitoring assets that are either ON or OFF, and we are implementing the asset control function using the IOT idea from anywhere on the planet. Using the ESP8266 module, the entire system data will be updated to the thing speak cloud.
Hand Sign Recognition for Medical Field Genesis
Authors: Gogate Dr. Uttara , Kazi Vahaz , Jadhav Aakash , Bari Tirthesh
Published: April 2022

Abstract: Inability to talk is taken into account to be true incapacity. folks with this incapacity use totally different modes to speak with others, there are variety of strategies accessible for his or her communication one such common methodology of communication is language. Developing language application for speech impaired folks is vital, as they’ll be ready to communicate simply with even people who don’t perceive language. Our project aims at taking the fundamental step in bridging the communication gap between traditional folks, deaf and dumb folk’s victimization language. the most focus of this work is to form a vision-based system to spot language gestures in real-time. Not solely that, however our project conjointly aims to focus on the audience or the users with very little or no data regarding any language. The project can aim to be helpful for each the traditional yet because the person with speaking or hearing incapacity. Although, the scope of the project shall be on the far side the compatibility, still it's herewith tried to usher in the module or a locality of the appliance for the speech impaired person. Future scope of the project aims to develop the appliance to assist person with all ability. Keywords: Hand Sign Recognition, American-Sign-Language, Yolo, Object Detection, Gesture to Speech, CNN, Machine Learning.
Secure File Storage on Cloud Computing Using Cryptographic Algorithm
Authors: Ranadive Shreya Sambhaji , Sawant Harshada Sanjay , Pinjarkar Jayesh Ekanath
Published: April 2022

Abstract: Cloud computing is one among today’s hottest research areas thanks to its ability to scale back costs related to computing while increasing scalability and adaptability for computing services. Cloud computing is Internet based computing thanks to shared resources, software and knowledge are provided to consumers on demand dynamically. Cloud computing is one among the fastest growing technology of the IT trade for business. Since cloud computing share disseminated resources via the network in the open environment, hence it makes security problems vital for us to develop the cloud computing applications. Cloud computing security has become the leading explanation for hampering its development. Cloud computing security has become a hot topic in industry and academic research. This system will explore data security of cloud in cloud computing by creating unique key and encryption by using that key. Keywords: cloud computing, cloud security, data security, encryption, elliptic curve cryptography, AES.
Cad Modelling of Combination Tool for End Mill and Reamer
Authors: Khan Dr. Imran A. , Pataihe Mr. Utsavkumar D. , Ramteke Mr. Ricon S. , Mandiya Mr. Mukesh G. , Bobate Mr. Vaibhav G. , Dhabre Ku. Akanksha A.
Published: April 2022

Abstract: CAD model quality in parametric design scripts largely determines the position of inflexibility and rigidity of a 3D model (how easy it's to alter the figure) as well as its reusability (the capability to use being figure in other surrounds and operations). In the environment of mechanical CAD systems, the nature of the point- grounded parametric modelling paradigm, which is grounded on parent – child interdependencies between features, allows a wide selection of approaches for creating a specific model. In this project involves designing and fabrication of the combination tool to perform desire operation. This combination tool can perform two operation which is End milling, Reaming, this can be done in such manner that the lower part that is end mill will remove the material from previously drilled hole then the second stage of operation commence in which the reamer will finish off the small tiny particle in order to achieve desired flawless finish. The use of the combined cutting tools to optimize the productivity of fabrication & operative time by reducing the time to change the tools. Design of the tool has been done with the assistance of some software which is Catia, Blender. Keywords: Combination tool, End milling, Reaming, Catia.
Analysis of Combination Tool for End mill and Reamer
Authors: Khan Dr. Imran A. , Pataihe Mr. Utsavkumar D. , Ramteke Mr. Ricon S. , Mandiya Mr. Mukesh G. , Bobate Mr. Vaibhav G. , Dhabre Ku. Akanksha A.
Published: April 2022

Abstract: The end of this paper was to clarify the simulation process of named factors in the interface of CAD/ CAM system CATIA. This process is important to enter the process of manufacturing of colourful perfection engineering factors of complex shape designed for the requirements of automotive and aerospace diligence. This project involves Analysis of the combination tool to perform desire operation. This combination tool can perform two operation which End milling, Reaming, this can be done in such manner that the lower part that is end mill will remove the material from previously drilled hole then the second stage of operation commence in which the reamer will finish off the small tiny particle in order to achieve desired flawless finish. Keywords: Combination tool, End milling, Reaming, Catia.
Experimental Analysis of HDPE Percentage in Bitumen Samples Using IDT Test
Authors: Mhatre Akshay , Walunj Avinash , Pichake Atish , Torane Ankit , Agawane Vinayak , Mendhe Dr. Apeksha
Published: April 2022

Abstract: The main objective of this research is to evaluate the ability of using recycled plastic waste as a binder material with asphaltic concrete to improve the performance and service life of the road. As bitumen is used as a binder material in asphaltic concrete which is very costly. We can reducethis cost by replacing bitumen (up to some extent) with plastic. There are many types of plastic but here we used only High Density Polyethylene (HDPE) plastic. NHA class B aggregates were used in this research with varying admixture (2, 4, and 6%) and bitumen content (3, 3.5, 4, 4.5, 5,5.5, and 6%). For this purpose Marsha Stability and Flow test and ITS test was carried out whichshowed different results for different percentages of admixture.
Apnavpn Project
Authors: Kher Bhushan , Karmore Preeti , Sonwane Nutan , Gahane Amol , Meshram Nitin , Ghagre Kartik , Nandekar Himanshu , Borkar Sonal
Published: April 2022

Abstract: A VPN is an essential tool for securing your personal data and protecting your privacy online. We’ve put together the ultimate guide to VPNs to show you what a VPN does, how VPNs work, and how they protect you. Learn how to choose the right VPN, or secure your privacy right now by downloading our own powerful and lightning-fast VPN app. A VPN works by using encryption protocols to funnel all your internet traffic through an encrypted tunnel a virtual private network between your computer and a remote VPN server. This hides your IP address and secures your data, preventing others from intercepting it. Without a VPN, all your internet traffic is potentially exposed to your internet service provider (ISP), the government, advertisers, or other people on your network. That’s why VPN connections boost your privacy and security online. VPN is virtual because it’s created digitally there isn’t a physical cable that reaches from your device directly to the VPN server.
Forensic Face Sketch Construction and Recognition
Authors: Patil Ashutosh , Tambe Pranav , Dinkar Hrushikesh , Bhave Prof. Diksha
Published: April 2022

Abstract: In forensic science, it is seen that hand-drawn face sketches are still very limited and time consuming when it comes to using them with the latest technologies used for recognition and identification of criminals. In this paper, we present a standalone application which would allow users to create composites face sketch of the suspect without the help of forensic artists using drag and drop feature in the application and can automatically match the drawn composite face sketch with the police database much faster and efficiently using deep learning and cloud infrastructure. Keywords: Forensic Face Sketch, Face Sketch Construction, Face Recognition, Criminal Identification, Deep Learning, Machine Locking, Two Step Verification.
E-Shop Website Using MERN Stack
Authors: Abbas Arfath , Syed Abdul Wahid , Ahmed Mohammad Saqib , Sagheer Abdul , H Vinod Kumar
Published: April 2022

Abstract: Electronic Commerce is the process of doing business through computer networks. A person sitting on his chair in front of a computer can access all the facilities of the Internet to buy or sell the products.unlike conventional commerce that is completed bodily with the attempt of a person to go and get products, e-commerce has made it easier for humans to reduce physical work and to save time. E-Commerce which was started in the early 1990s has taken a great leap in the world of computers, but the fact that has hindered the growth of e-commerce is security. Safety is the challenge dealing with e-trade today and there may nevertheless be a number of developments made inside the discipline of safety. The main advantage of ecommerce over conventional trade is that the user can browse on-line stores, examine charges, and order merchandise sitting at home on their computer. For increasing the use of e-commerce in developing countries the Business-to-Business e-commerce is implemented for improving access to global markets for firms in developing countries.For a developing country advancement in the subject of e-trade is vital. The research strategy shows the importance of e-commerce in developing countries for business applications. E-commerce has also been a very important platform for small scale industries, start-ups or entrepreneurs to advertise or showcase their products. Keywords: E-commerce, customer, online, shopping
Implementation of Android Application In React-Native: Daily Dairy
Authors: Deshmukh Aditya , Purohit Aditya , Singh Aman Pratap , Singh Anirudha
Published: April 2022

Abstract: This paper describes the whole process of android application development using the react-native framework and firebase of google and developed the application “DailyDairy''. The Application is developed for medium-sized and digitally illiterate dairy farmers. The software is divided into milk distribution management and payment transactions, statistics and analysis can be a variety of technical data to analyze, synthesize, organize, and the User Interface is practical, economic, and user-friendly. This application also solves the differences between Vendor and his Customers. This paper also describes the integration of firebase firestore (database provided by google) with android application development with javascript framework react-native and code editor used in is visual studio code by Microsoft. Keywords: Dairy Management, Android application, Vendor, Customer, Milk, Dairy Farmer, Digital Literacy
Android Based Classic PARKADE System
Authors: Katiyar Divya , Gupta Shubham , Kumar Prashant , Chaudhary Prakriti , Katre Mandeep
Published: April 2022

Abstract: As we all can Notice that world’s population is increasing day by day and due to increase in the number of populations, the number of vehicles are also increasing and their uses. This has been created a problem for parking the vehicles. Now in Metropolitan cities also, the areas are very less for parking and to deal with all this we required a good plan and major steps which can reduce the parking problem. The entrance into parking slot is also managed by an android based application. To overcome this problem we need to take a certain steps. In this research paper, is shown for Classic Parked Systems. Autonomous vehicle is a hot research area now. Keywords: Parking system, safety, REAL TIME, SELF PARKING, Slot booking , Android application
Problem Identification on Bamboo Stripping Process
Authors: Patil Ankit P , Thakre G. V. , Kakde A. M.
Published: April 2022

Abstract: At Present the Bamboo stripping is done manually and some sort of machines are available in market but did not achieve minimum thickness of 2mm so that is the reason we are planning to develop a machine will achieve min 2 mm thicken bamboo strip using pneumatic and electrical energy as the machine is fully Automatic and operated even by unskilled labour. Keywords: 2 mm thickness, Fully Automatic, Pneumatic, Electrical, Unskilled labour.
Cinematography Drone with Automated Ability for Self-flight and Maneuverability
Authors: Soni Akash , Nachappa Dr. M N
Published: April 2022

Abstract: Unmanned Aerial Vehicles or UAVs are an amazing piece of machinery that have proven their usefulness in various industries like construction, military, logistics, filmmaking, etc. They’re either operated remotely by a human controller from the ground or have automated capabilities to control its own flight. But due to several technological and environmental restrictions there are many models that can guarantee complete autonomous behavior of the drone. For being truly autonomous, UAVs will need to get far better at sensing its surroundings and obstacles to decide its own path and react in time to avoid collisions. This project specifically aims at enhancing the drones used in the tourism sector for the betterment of traveling experience of people by automating the process of capturing their experience along with autonomous flight capabilities. ML enabled cinematography drones to tackle the gap in the market where good camera drones are unavailable at a lower price point with an added benefit of hands-free automated flight patterns to capture cinematic shots. We have tried to achieve this milestone by using sensors that can detect the surrounding obstacles in real-time and manipulate its flight path to capture cinematic shots of the target object. Through the project we’re also automating various shots like hover, 360 degree view, follow at focus, etc that the drone will include into its flight path on the go. Operating an unmanned flying machine is very challenging especially when you’re flying the drone out of your line of sight and detecting objects using just one FPV camera or monitoring several cameras at the same time is not humanly possible. Hence, through this project we’re not only allowing travellers to enjoy their journey but also take videos of places they can’t reach without having to worry about losing or crashing their drones. There can be further research on this flying model to inculcate it for various industries as the flying pattern and requirement changes in each sector. Keywords: UAV (Unmanned Aerial Vehicle), Drone, Cinematography, ML, FPV, Automated flight
Pneumonia and COVID-19 Detection using Convolutional Neural Network
Authors: Gorbal Prof. M. R.
Published: April 2022

Abstract: The exponential increase in COVID-19 patients is overwhelming healthcare systems across the world. With limited testing kits, it is impossible for every patient with respiratory illness to be tested using conventional techniques (RT-PCR). The tests also have long turn-around time, and limited sensitivity. Detecting possible COVID-19 infections on Chest X-Ray may help quarantine high risk patients while test results are awaited. X-Ray machines are already available in most healthcare systems, and with most modern X-Ray systems already digitized, there is no transportation time involved for the samples either. In this work we propose the use of chest X-Ray to prioritize the selection of patients for further RT-PCR testing. This may be useful in an inpatient setting where the present systems are struggling to decide whether to keep the patient in the ward along with other patients or isolate them in COVID-19 areas. It would also help in identifying patients with high likelihood of COVID with a false negative RT-PCR who would need repeat testing. Further, we propose the use of modern AI techniques to detect the COVID-19 patients using X-Ray images in an automated manner, particularly in settings where radiologists are not available, and help make the proposed testing technology scalable. We present CovidAID: COVID-19 AI Detector, a novel deep neural network based model to triage patients for appropriate testing. On the publicly available covid-chestxray-dataset, our model gives 90% accuracy for the COVID-19 infection. Keywords: Pneumonia, COVID-19, Chest X-Ray, Convolutional Neural Network, VGG-16
A Rasch Analysis of the Child Interpersonal Relationships and Attitudes Assessment
Authors:   Tarleton State University, Holliman Ryan
Published: April 2022

The Child Interpersonal Relationships and Attitudes Assessment (CIRAA) is an instrument which was designed to measure progress in child therapy (Holliman & Ray, 2013). The CIRAA has undergone psychometric evaluation with exploratory factor analysis (Holliman & Ray, 2013) as well as confirmatory factor analysis (Chung, 2013). The current study analyzes the original data from the CIRAA using Rasch analysis methods to determine the ability of the CIRAA to distinguish different levels of behavioral strengths among children as well as determine differential functioning of the instrument among gender and cultural groups. The results indicate an instrument which is well suited for a variety of cultural groups and one that can measure individuals with a range of characteristics in the domains of self-control, interpersonal skills, coping skills, and locus of evaluation.
Conceptualizing Traumatic Loss During and After COVID-19
Authors:   University of Louisiana at Monroe, Smith Lisa , Mathews Lyndsay , Gros Kayla , Foster Thomas
Published: April 2022

Due to the COVID-19 pandemic, several social modifications have been made in the United States to reduce the infection rate that resulted in changes to the workforce, education system, and general community interactions. This evolving new normal has caused distress in many individuals. The purpose of this article was to conceptualize these changes from a loss perspective and determine if any traumatic symptomology might emerge from the loss, thus producing traumatic loss due to the changing normal. Clinical recommendations are given to mental health professionals when working with individuals who report distress due to the changing normal.
Insecurely-attached Supervisees’ Perspectives of Attachment in Supervision
Authors:   Regis University, Lucas Kyle , Cureton Jenny , Pergantis Stephanie , Murdock-Bishop Jennifer
Published: April 2022

Professional counselors are called upon by the American Counseling Association (2018) This narrative research study examines the experiences of counselors in training and how they engage with their supervisors through an attachment lens throughout their first practicum course. Three participants were identified as having an insecure attachment style. Each participant shared their experiences in supervision through semi-structured interviews and a photo elicitation journal writing project. Seven narrative categories emerged from the data which detailed how participants’ personal history and attachment style influenced their relationship with their supervisor. Implications for supervision include utilizing the emergent narrative categories to guide interventions to meet the attachment needs and influence the development of their supervisees.
Professional Counselors’ Roles and Opportunities in Special Education Advocacy
Authors:   University of Tennessee at Chattanooga, Webster Lindsay , Muro Joel
Published: April 2022

Professional counselors are called upon by the American Counseling Association (2018) to advocate on behalf of clients and their families to empower them and facilitate treatment goal achievement. They may accomplish this advocacy work in a variety of ways, including the provision of education and support when external barriers prevent clients' access to valuable community systems and resources. Special education (SPED) represents one such systemic resource that many clients and their families interface, but the lack of knowledge of a family's rights in the individual education planning (IEP) process continues to hinder their participation and utilization of SPED services (Jung, 2011; Lo, 2012). In this article, we illuminate opportunities for clinical mental health counselors to adequately prepare client families for the SPED process and act on behalf of families to advance their children’s treatment progress, educational prospects, and lifelong success.