bluuebunny/crossref_metadata_2025 huggingface dataset:
Ni-B Alaşım Kaplamaların Kristal Yapı ve Sertlik Özelliklerine Akım Yoğunluğunun Etkisi
Authors: ÜNAL Ersin , YAŞAR Abdülkadir , KARAHAN İsmail Hakkı
Published: July 2022

Ni-B alaşım kaplamalar yüksek sertlik, yüksek aşınma direnci ve iyi korozyon direnci gibi üstün özellikleri sayesinde birçok endüstri dalında başarılı bir şekilde uygulanabilmektedir. Bu çalışmada, Ni-B alaşım kaplamalar geleneksel elektrokimyasal kaplama metoduyla paslanmaz çelik altlık üzerine farklı akım yoğunluğu değerlerinde depolanmıştır. Elektrokimyasal depolama işleminde Watts tipi geleneksel nikel banyosu kullanılmıştır. Nikel ana yapısına alaşım malzemesi olarak ilave edilen bor elementi kaynağı olması amacıyla elektrolite trimetilamin boran kompleksi (TMAB) ilave edilmiştir. Üretilen numunelerin kristal yapı, mikrosertlik ve morfoloji özellikleri incelenmiştir. Akım yoğunluğu azalması Ni-B kristal yapısının tane büyüklüğünde azalmaya neden olmuş ve yapının amorfa doğru kaymasına neden olmuştur. Ayrıca, akım yoğunluğu azalması neticesinde Ni-B kaplamanın mikrosertlik değerinde de artış olduğu tespit edilmiştir. Bunun yanında Ni-B alaşım kaplamaların farklı akım yoğunluğu değerlerinde depolanması neticesinde yüzey morfolojisinin de etkilendiği ve numunelerin farklı görünüme sahip olduğu anlaşılmıştır.
Investigation of Different Methods for Estimating Surface Roughness
Authors: DEMİRDÖĞEN Mehmet Fatih , KILIÇ Süleyman , ÖZTÜRK Fahrettin
Published: July 2022

Machining is one of the most widely used manufacturing processes in the mold industry and which affects the manufacturing cost significantly. Particularly, the desired surface roughness/quality at a low cost at minimum machining time is the ultimate target. Surface quality depends on many parameters such as cutting speed, feed, depth of cut, vibration, coolant, insert properties/geometry used. In this study, surface roughnesses after turning of hot work tool steel at different parameters are investigated. At the same time, regression, artificial neural network, and fuzzy logic prediction models are developed from the experimental data. Therefore, surface roughness values at the different parameters are determined. The closest estimate with approximately 5% error is obtained by the Sugeno fuzzy logic model when it compared to experimental results.
Electrochemical Synthesis of CdSe and CdSe/ZnO Films: Morphological, Structural and Electronic Properties
Authors: SIĞIRCIK Gökmen , TÜKEN Tunç
Published: July 2022

CdSe films were electrochemically prepared on ITO electrode in aqueous solution applying a constant potential. Structural, morphological and optical features of CdSe thin films were examined with FE-SEM, XRD and UV-visible spectrophotometry techniques. XRD results revealed CdSe films were deposited, in the form of cubic crystals from aqueous solution of Cd2+ and Se4+, in presence of Na2SO4 supporting electrolyte. Band gap values of CdSe films were found between 1.88 and 2.0 eV. Wide band gap ZnO was electrochemically deposited on narrow band gap CdSe to improve its optoelectronic properties. Band gap value of CdSe/ZnO nanonorods was determined as 2.7 eV. Mott-Schottky equation was utilized to calculate flat band potential (EFB), as well as charge carrier density (ND) of materials. ND values were found as 1.623×1020 and 9.186×1020 cm-3 for CdSe and CdSe/ZnO, respectively. ZnO offers higher stability and lower band gap is promising material to be utilized in solar cell applications.
Curriculum Review and Education 5.0 in Higher Education in Zimbabwe: A Review of Textiles and Clothing-related Programs
Authors:   Chinhoyi University of Technology, Bag 7724, Chinhoyi, Zimbabwe., Chuma Chipo
Published: July 2022

With the Zimbabwe Ministry of Higher, Science, and Tertiary Education (ZMHSTE) implementing the doctrine Education 5.0, there was an emphasis on curriculum review to align programs with the objectives of the doctrine. The main goal of the study was to examine areas in which the content of the curriculum should be focused on Textiles and Clothing related disciplines. As research methods, a qualitative analysis of literature search was conducted during a period of Fulbright scholar study at a US institution to compare content offered in textiles and clothing-related programs. The outcome of the study declares the areas such as exponential disruptive technologies in the textiles and clothing integrated enterprise, brand innovation, supply chain management, data science in the curriculum, and sustainable design and manufacturing as gap areas that were not thoroughly included in the existing programs in Zimbabwe. These content areas should be considered as part of the review to align the programs with the essence of Education 5.0.
Guided Bone Regeneration Prior to Implant Therapy in the Esthetic Zone: A Case Report
Authors: Sulijaya Benso , Koerniadi Felix Hartono
Published: July 2022

Background:

Implant placement on the anterior maxilla requires a comprehensive concern of adequate alveolar bone and gingival biotype. Insufficient support for hard and soft tissues becomes one of the main causes of implant complications. To avoid this problem, pre-surgical treatment with Guided Bone Regeneration (GBR) is suggested with respect to the alveolar ridge defect.

Objective:

In this study, we reported the predictability of a sandwich technique of GBR prior to implant placement.

Case Presentation:

Case: Thirty-four-year-old male was referred with a chief complaint of missing teeth on area #21 accompanied by labial bone dehiscence due to trauma. Bone thickness measurement displayed was approximately 3/4/5 mm (coronal/middle third/apical third of the alveolar ridge). This case was diagnosed as soft and hard tissue deformity on area #21 prior to implant. Case management: GBR and implant placement were performed in two stages of surgery. GBR was executed by using a combination of Biphasic Calcium Phosphate (BCP) (consisting of 40% Beta-Tri Calcium Phosphate (β-TCP) and 60% Hydroxyapatite (HA)) and Demineralized Freeze-Dried Bone Allografts (DFDBA) bone graft materials. Alveolar ridge re-measurement five months after GBR showed significant bone augmentation, 6/6/6 mm (coronal/middle third/apical third of the alveolar ridge). Furthermore, a 3.5 mm (diameter) x 10 mm (length) bone-level implant was inserted accordingly. The two-year follow-up exhibited gingival stability and no sign of either recession or bone resorption.

Conclusion:

Herein, we demonstrated the effectiveness of BCP and DFDBA bone substitutes to obtain proper conditions for the long-termed stability and predictability of implant.
Physico-Chemical Characterization of Green Synthesized Nanomaterials
by UV-Visible Spectroscopy
Authors: Singh Laxman , Kumar Amar , Meenakshi  , Saxena Nisha , Seema Kumari , Srivastava Anshuman , Rajak Jitendra , Singh Darshan , Singh Satya Vir
Published: July 2022

Nanomaterials (NMs) particularly synthesized by green routes have attracted researchers
and scientists for their multifunctional industrial applications. NMs have not only revolutionized research, but also our daily life because of numerous applications in medical diagnostics, consumer
products, and energy-related applications. Their unique properties are directly related to chemical
composition, structure, size and shape. There are several characterization techniques used to determine
the size, composition, crystalline structure and other physical properties of NMs. Prominent among
them are spectroscopic techniques such as UV-Visible, FTIR, EDX; diffraction techniques such as
XRD, SAED; microscopic techniques such as SEM, TEM, AFM and others such as Zeta potential
measurements. Every technique has its own merit and demerit. This mini review describes the uses of
UV-Vis spectroscopy in characterization of NMs.
A Performance Futurista em Santa Rita Pintor
Authors: Dias Sandra Guerreiro
Published: July 2022

Este texto analisa a figura performativa de Santa Rita Pintor à luz dos estudos da performance. Observa-se, neste artista, uma disposição histriónica pré-dadaísta que veio a deixar eco nas vanguardas literárias por-tuguesas do século XX. Tal reconhece-se num ímpeto performativo pela palavra no espaço público que veio a marcar o surrealismo e experimentalismo. Foca-se, este estudo, na observação de dois eixos que parecem configurar o projeto de ação estética deste artista precursor da performance em Portugal: a pose performa-tiva associada à fala.
'Igarapé Fantasmagórico': Um diálogo entre a poesia de Mário de Andrade e "Leaves of Grass", de Walt Whitman
Authors: Chaffin Benjamin
Published: July 2022

Walt Whitman influenciou de forma ampla as vanguardas do início do século XX ao redor do mundo. Na América Espanhola e no Brasil, impactou, em particular, movimentos preocupados com o desenvolvimento da identidade nacional. Na poesia de Mário de Andrade, deparamo-nos com um diálogo com Leaves of Grass, que se encontra enfatizado pelo símbolo do rio, mas adaptando Whitman de uma maneira que contrasta com sua assimilação por outros poetas das Américas. De Paulicéia Desvairada ao seu poema final, sua conversa com Whitman evolui para uma inversão parcial de paradigmas transcendentais entre o indivíduo, a comu-nidade e o ambiente local.
Ser como o mar, voltando sempre: Max Martins e a tendência-espiral
Authors: Anglada Carolina
Published: July 2022

Em oposição a certa proposta moderna de temporalidade teleológica, este ensaio evoca a poética de Max Martins, em uma leitura da tendência-espiral, para analisarmos os efeitos e desdobramentos de uma pers-pectiva curvilínea, recursiva, espaçante, tanto para a percepção das diferenças do moderno na poesia brasi-leira, quanto para uma teoria da poesia. Para tanto, estabelece-se um diálogo, sobretudo, com o pensamento morfológico de Goethe, com as fórmulas plásticas e patéticas de Aby Warburg e com a noção de erotismo de Georges Bataille
Jazz e modernismo na obra de António Ferro
Authors: Petrescu Cristina
Published: July 2022

O presente trabalho propõe uma releitura do modernismo adotado por António Ferro, à luz da sua relação com a música de jazz. Em que medida o jazz fomentou o modernismo expresso na obra do autor, de que maneira a música é capaz de transpor o seu plurifacetado imaginário para o campo da escrita, quais são as correspondências que se estabelecem, através do diálogo entre música e literatura, entre a Idade do Jazz Band e a Era do Jazz fitzgeraldiana e, por fim, se António Ferro pertence ou não à controversa série internacional dos autores de jazz, são perguntas para as quais se procurará uma resposta, ao longo deste ensaio.
Digital Biomarkers for Well-being Through Exergame Interactions: Exploratory Study
Authors: Petsani Despoina , Konstantinidis Evdokimos , Katsouli Aikaterini-Marina , Zilidou Vasiliki , Dias Sofia B , Hadjileontiadis Leontios , Bamidis Panagiotis
Published: July 2022

Background

Ecologically valid evaluations of patient states or well-being by means of new technologies is a key issue in contemporary research in health and well-being of the aging population. The in-game metrics generated from the interaction of users with serious games (SG) can potentially be used to predict or characterize a user’s state of health and well-being. There is currently an increasing body of research that investigates the use of measures of interaction with games as digital biomarkers for health and well-being.

Objective

The aim of this paper is to predict well-being digital biomarkers from data collected during interactions with SG, using the values of standard clinical assessment tests as ground truth.

Methods

The data set was gathered during the interaction with patients with Parkinson disease with the webFitForAll exergame platform, an SG engine designed to promote physical activity among older adults, patients, and vulnerable populations. The collected data, referred to as in-game metrics, represent the body movements captured by a 3D sensor camera and translated into game analytics. Standard clinical tests gathered before and after the long-term interaction with exergames (preintervention test vs postintervention test) were used to provide user baselines.

Results

Our results showed that in-game metrics can effectively categorize participants into groups of different cognitive and physical states. Different in-game metrics have higher descriptive values for specific tests and can be used to predict the value range for these tests.

Conclusions

Our results provide encouraging evidence for the value of in-game metrics as digital biomarkers and can boost the analysis of improving in-game metrics to obtain more detailed results.
Modeling Adoption, Security, and Privacy of COVID-19 Apps: Findings and Recommendations From an Empirical Study Using the Unified Theory of Acceptance and Use of Technology
Authors: Nunes Nuno , Adamo Greta , Ribeiro Miguel , R Gouveia Bruna , Rubio Gouveia Elvio , Teixeira Pedro , Nisi Valentina
Published: July 2022

Background

The global health crisis caused by COVID-19 has drastically changed human society in a relatively short time. However, this crisis has offered insights into the different roles that such a worldwide virus plays in the lives of people and how those have been affected, as well as eventually proposing new solutions. From the beginning of the pandemic, technology solutions have featured prominently in virus control and in the frame of reference for international travel, especially contact tracing and passenger locator applications.

Objective

The objective of this paper is to study specific areas of technology acceptance and adoption following a unified theory of acceptance and use of technology (UTAUT) research model.

Methods

We presented a research model based on UTAUT constructs to study the determinants for adoption of COVID-19–related apps using a questionnaire. We tested the model via confirmatory factor analysis (CFA) and structural equation modeling (SEM) using travelers’ data from an insular tourist region.

Results

Our model explained 90.3% of the intention to use (N=9555) and showed an increased understanding of the vital role of safety, security, privacy, and trust in the usage intention of safety apps. Results also showed how the impact of COVID-19 is not a strong predictor of adoption, while age, education level, and social capital are essential moderators of behavioral intention.

Conclusions

In terms of scientific impact, the results described here provide important insights and contributions not only for researchers but also for policy and decision makers by explaining the reasons behind the adoption and usage of apps designed for COVID-19.
Key Stakeholders’ Experiences and Perceptions of Virtual Reality for Older Adults Living With Dementia: Systematic Review and Thematic Synthesis
Authors: Flynn Aisling , Healy David , Barry Marguerite , Brennan Attracta , Redfern Sam , Houghton Catherine , Casey Dympna
Published: July 2022

Background

Technology is increasingly being used and evolving in the dementia care landscape. One such technology that has gained traction over the last decade is virtual reality (VR). VR is being applied in many areas of dementia care, including cognitive assessment and training, reminiscence therapy, music therapy, and other recreational VR applications. Despite the plethora of applications, they are often not shaped by the experiences and perceptions of older adults living with dementia. Currently, there is no qualitative evidence synthesis (QES) to explore this area. This review aimed to provide qualitative evidence supporting existing systematic reviews in this area.

Objective

The aim of this QES was to explore key stakeholders’ experiences and perceptions of VR for older adults living with dementia. It aimed to explore the barriers and facilitators to VR use and provide recommendations for future design and implementation.

Methods

QES was used, which involved a systematic search of 6 databases to identify studies that qualitatively explored key stakeholders’ experiences and perceptions of VR for older adults living with dementia. Thematic synthesis was used to integrate the findings of 14 studies (from 15 reports). The Critical Appraisal Skills Programme tool was used to assess the methodological quality of the included studies. The confidence placed in the review findings was assessed using the GRADE-CERQUAL (Confidence in the Evidence from Reviews of Qualitative research).

Results

A total of 15 reports from 14 studies were included in the review, consisting of a range of levels of VR immersion, stages of dementia, and care contexts. Three analytical themes were generated: stepping into virtuality, a virtual world, and returning to reality. The results indicate the importance of sensitively designing and introducing VR to this population, as older adults living with dementia often have no prior experience of using this technology. VR can be a positive experience for older adults living with dementia and can provide meaningful interactions, positive expressions, and long-term impacts on everyday functioning. However, it should be acknowledged that some negative associations must be accounted for before, during, and after use.

Conclusions

This review highlights the positive implications as well as negative associations of VR use. It emphasizes the need for VR design and implementation driven by the needs and views of older adults living with dementia as well as with other key stakeholders. Future research needs to explore the vital role that older adults living with dementia can play in the design process and how they can be empowered to meaningfully design and use this technology.
Digital Technologies for Health Promotion and Disease Prevention in Older People: Protocol for a Scoping Review
Authors: De Santis Karina Karolina , Mergenthal Lea , Christianson Lara , Zeeb Hajo
Published: July 2022

Background

Digital technologies could contribute to health promotion and disease prevention. It is unclear if and how such digital technologies address the health needs of older people in nonclinical settings (ie, daily life).

Objective

This study aims to identify digital technologies for health promotion and disease prevention that target the needs of older people in nonclinical settings by performing a scoping review of the published literature. The scoping review is guided by the framework of Arksey and O’Malley.

Methods

Our scoping review follows the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. The information sources are bibliographic databases (MEDLINE, PsycINFO, CINAHL, and SCOPUS) and bibliographies of any included systematic reviews. Manual searches for additional studies will be performed in Google Scholar and most relevant journals. The electronic search strategy was developed in collaboration with a librarian who performed the search for studies on digital technologies for health promotion and disease prevention targeting the needs of older people. Study selection and data coding will be performed independently by 2 authors. Consensus will be reached by discussion. Eligibility is based on the PCC (Population, Concept, and Context) criteria as follows: (1) older people (population); (2) any digital (health) technology, such as websites, smartphone apps, or wearables (concept); and (3) health promotion and disease prevention in nonclinical (daily life, home, or community) settings (context). Primary studies with any design or reviews with a systematic methodology published in peer-reviewed academic journals will be included. Data items will address study designs, PCC criteria, benefits or barriers related to digital technology use by older people, and evidence gaps. Data will be synthesized using descriptive statistics or narratively described by identifying common themes. Quality appraisal will be performed for any included systematic reviews, using a validated instrument for this study type (A Measurement Tool to Assess Systematic Reviews, version 2 [AMSTAR2]).

Results

Following preliminary literature searches to test and calibrate the search syntax, the electronic literature search was performed in March 2022 and manual searches were completed in June 2022. Study selection based on titles and abstracts was completed in July 2022, and the full-text screen was initiated in July 2022.

Conclusions

Our scoping review will identify the types of digital technologies, health targets in the context of health promotion and disease prevention, and health benefits or barriers associated with the use of such technologies for older people in nonclinical settings. This knowledge could guide further research on how digital technologies can support healthy aging.

International Registered Report Identifier (IRRID)

PRR1-10.2196/37729
Causal Modeling to Mitigate Selection Bias and Unmeasured Confounding in Internet-Based Epidemiology of COVID-19: Model Development and Validation (Preprint)
Authors: Stockham Nathaniel , Washington Peter , Chrisman Brianna , Paskov Kelley , Jung Jae-Yoon , Wall Dennis Paul
Published: July 2022

BACKGROUND

Selection bias and unmeasured confounding are fundamental problems in epidemiology that threaten study internal and external validity. These phenomena are particularly dangerous in internet-based public health surveillance, where traditional mitigation and adjustment methods are inapplicable, unavailable, or out of date. Recent theoretical advances in causal modeling can mitigate these threats, but these innovations have not been widely deployed in the epidemiological community.

OBJECTIVE

The purpose of our paper is to demonstrate the practical utility of causal modeling to both detect unmeasured confounding and selection bias and guide model selection to minimize bias. We implemented this approach in an applied epidemiological study of the COVID-19 cumulative infection rate in the New York City (NYC) spring 2020 epidemic.

METHODS

We collected primary data from Qualtrics surveys of Amazon Mechanical Turk (MTurk) crowd workers residing in New Jersey and New York State across 2 sampling periods: April 11-14 and May 8-11, 2020. The surveys queried the subjects on household health status and demographic characteristics. We constructed a set of possible causal models of household infection and survey selection mechanisms and ranked them by compatibility with the collected survey data. The most compatible causal model was then used to estimate the cumulative infection rate in each survey period.

RESULTS

There were 527 and 513 responses collected for the 2 periods, respectively. Response demographics were highly skewed toward a younger age in both survey periods. Despite the extremely strong relationship between age and COVID-19 symptoms, we recovered minimally biased estimates of the cumulative infection rate using only primary data and the most compatible causal model, with a relative bias of +3.8% and –1.9% from the reported cumulative infection rate for the first and second survey periods, respectively.

CONCLUSIONS

We successfully recovered accurate estimates of the cumulative infection rate from an internet-based crowdsourced sample despite considerable selection bias and unmeasured confounding in the primary data. This implementation demonstrates how simple applications of structural causal modeling can be effectively used to determine falsifiable model conditions, detect selection bias and confounding factors, and minimize estimate bias through model selection in a novel epidemiological context. As the disease and social dynamics of COVID-19 continue to evolve, public health surveillance protocols must continue to adapt; the emergence of Omicron variants and shift to at-home testing as recent challenges. Rigorous and transparent methods to develop, deploy, and diagnosis adapted surveillance protocols will be critical to their success.
Peer Review of "Are We Sure We Fully Understand What an Infodemic Is? A Global Perspective on Infodemiological Problems" (Preprint)
Authors: Nazari Nabi
Published: July 2022

UNSTRUCTURED

This is a peer review report related to ms# 36510.
Review on Smart Sanitizing Robot with Medicine Transport System for Covid-19
Authors: Bawankar Prof. Shyam
Published: July 2022

Abstract: As the cases of pandemic are increasing gradually, we need to contribute in the present situation with our small act. Through this project, we will make a sanitizer robot which can spray sanitizer on patients wards and also provide medicine facility them. This project will be embedded based to control the wireless sanitizer spraying robot with Smartphone. In addition, there will be a holding plate on the robot so that the Doctors can send the medicines or other important things to their patients without even entering into the covid ward. We are also going to charge the robot's battery with solar panels add a gist of renewable energy in our robot's power. At the end, we want that our robot to work both out of the quarters and inside them
Micro and Nano Fiber Composite Coatings
Authors: Pawar Sarika P.
Published: July 2022

Abstract: Environmental friendly products are becoming popular and acceptable in industries due to the global limitation to the amount of volatile organic compounds (VOCs) released into the atmosphere. Low VOC compounds and technologies are also becoming a choice in the coatings and paint industry. Coatings can be made from water or solvent. In coatings from water, we use water as the solvent, therefore coating called water based coating and in the case of solvent-borne coatings, we used organic or inorganic compounds as solvents, therefore this coating called as solvent borne coating. Among all different types of solvents water is the greatest choice among these low VOC technologies for usage as a solvent to manufacture chemical compounds and Paints and coatings. because water is often recognized as a low-cost, safe, non-toxic, easily available and ecologically friendly solvent. Also nanomaterials is new field in research and development of material science . Materials can be one dimensional such as small particles, materials can be two dimensional such as fibres. Therefore in two-dimensional materials such as fibres ( micro and nanofibers) use in many different applications such as medical, composites, aerospace, Building constructions etc. Nanofiber has the advantage of high surface area to volume ratio hence to decrease the coating defects. micro and nanofibers should be incorporated inside the coating matrix. This way one can improve the properties of water-based coatings. Hence low VOC solvent water with high surface area fibre is becoming a trend in composite coating and nanotechnology in fibres. This review provides information on Composite coatings, distinct fibres used in coatings and their applications, also effects of different aspect ratio of fibres on properties of coatings
Low Power, High Performance PMOS Biased Sense Amplifier
Authors: S Amulya.
Published: July 2022

Abstract: The capacity, functionality, dependability, and durability of the memory sense circuits in the basic cell are all significantly impacted by sense amplifiers in the proposed experiment. We will create two novel circuits that have been suggested in this presentation. This project's suggested circuit is a PMOS biassed sense amplifier with a basic cell that has a high output impedance and reduces the circuit's sensing latency as well as its power dissipation. As a result, the developed circuit executes operations similarly to those of parallel circuits, reducing the sense latency and circuit power consumption. The performance of one of the recommended sense amplifiers may then be verified by simulation utilizing Tanner EDA and CTSA and 180nm technology, leading to a sense decoder employing advanced technology in the technique.
IoT: Based Weather Monitoring System
Authors: Phutane R Varun
Published: July 2022

Abstract: The Weather Monitoring System using the IoT is one such application of IoT that has paved the way for organizations to create new and efficient solutions. Because of the rapidly changing climate, the weather forecast is uncertain and inaccurate these days. The IoT based Weather Monitoring system features to monitor temperature and humidity level, Barometric pressure, light intensity, air quality and rainfall. The required hardware includes Raspberry Pi, Arduino Mega, DHT11, Light intensity sensor BH1750, MQ-135, BME-280, and raindrop sensor.. All the above sensors are used to measure the given parameters. Arduino IDE and Node-RED software is used for programming and connecting hardware devices and online services. All sensors and hardware components are connected and built with Raspberry pi and Arduino. The arduino board is programmed with necessary code through Arduino IDE. The output of the arduino is stored in the local database using the influxdb. A Web Application dashboard is developed using HTML, CSS and JavaScript. The web application collects data from the Node-RED and the dashboard visualizes all the sensor data like temperature, humidity, barometric pressure, light intensity, air quality and rainfall. The paper gives a description of using IoT to help the user to identify and monitor the temperature, humidity, barometric pressure, air quality, light intensity and rainfall in the environment. This dashboard will update real time values of the above parameters to helpmonitor, control and maintain a particular environment.
The Comprehensive Review on the Approach of Kidney Regeneration; Using Stem Cells
Authors: Majumder Sreyosi
Published: July 2022

Abstract: Organ regeneration is an area of biomedical study that focuses on replacing an organ's cells to repair tissues and organs and partly or totally restore their original function. This article provides an overview of organ regeneration using stem cells and their potential use for treating kidney disorders. Compared to other organs, the kidney is a sensitive organ with a relatively low capability for regeneration. Renal disorder is becoming a public health concern. There are many progressive therapies to deal with such problems, but still mortality rates among subjects remained above average. Stem cell approach has been identified as a potentially effective approach in the search for novel therapies for promoting kidney regeneration. It is an excellent and promising alternative treatment to current therapies because this can provide a cure to kidney diseases and injuries without a transplant or dialysis. The stem cell therapy can be considered for the repair and kidney tissue regeneration. Different stem cell types and their mechanism have been discussing in this article. Also, the serious diseases caused by renal dysfunction are focused here such as AKI and CKD, the most common clinical issue in critically ill patients effecting around 50% and 18% of global population respectively.
PV FED Interleaved Boost Converter for BLDC Motor
Authors: P Daniya
Published: July 2022

Abstract: The generation of solar energy and its conversion techniques gained greater importance due to increase use of electricity. The power generation scheme is more striking due to its advantages among all the Renewable Energy Sources. This project introduces a PV fed interleaved boost converter for BLDC motor, which is a simple, cost effective and efficient brushless DC (BLDC) motor drive for solar photovoltaic (SPV) array system. A interleaved boost converter is used in order to extract the maximum available power from the SPV array. This control algorithm eliminates phase current sensors and adapts a fundamental frequency switching of the voltage source inverter (VSI) hence avoids the power losses due to high frequency switching. In speed control of BLDC motor no additional circuitry or control is used. An appropriate control of interleaved boost converter is done by the incremental conductance maximum power point tracking (INC-MPPT) algorithm which offers soft starting of the BLDC motor. The proposed system is designed and modelled at steady state conditions of practical operating conditions is demonstrated through simulation results using MATLAB/ Simulink.
Crop Productivity Analysis and Predictions Using Machine Learning Approach
Authors: N. E Aishwarya Rani
Published: July 2022

Abstract: Without a question, the main source of income in rural India is provided by agriculture and its affiliated industries. The country's Real Gdp is also significantly influenced by the agriculture industry (GDP). The country is fortunate to have such a huge agriculture sector. However, the yield of crops per hectare in relation to global norms is unsatisfactory. It is one of the likely reasons why marginal farmers commit suicide at a higher rate. For farmers, this research suggests a practical and approachable yield prediction system. A smartphone application used in the proposed method connects farmers to the internet. GPS assists in locating the user. The user enters the location and soil type
Leaf Disease Detection using Polynomial SVM and Euclidean Distance Metric
Authors: Chouksey Ritika
Published: July 2022

Abstract: Agriculture productivity is highly important in the world to survive. There are lots of involvements of artificial intelligence in agriculture to help the productivity. Automatic leaf disease detection is one of them. It is hard to diagnose the leaf disease by normal vision because it looks quite natural. If care is not taken properly then it directly affects the quality of the production. So, it is important to detect the disease at early stage through which production can be improved and proper care can be taken place. There are so many researches that have been done in this field but there are certain flaws present in the resulting system. Proposed system is based on Polynomial SVM (Support Vector Machine) and an Euclidean Distance Metric. Polynomial SVM is a classifier that can handle the non-linear data in a very effective manner. Euclidean Distance Metric calculates distance between two different clusters or points; through which decision can be made easily. Dataset has been taken from kaggle for four different categories; such as Alternaria Alternata, Bacterial Blight, Cercospora Leaf Spot and Healthy Leaves. The proposed method provides 97.30% of accuracy which is bit higher than the KNN classifier
Comparison of Machine Learning and Deep Learning algorithms for Detecting Intrusions in Network
Authors: H R Bhargav
Published: July 2022

Abstract: Due to the introduction of the devices for networking with the fast internet development in earlier years, the safety of the networks has developed to be important in this contemporary age. Intrusion Detection Systems are used in identifying unapproved, unacquainted and traffic that is suspicious through networks. This project pursues the anomaly detection through the design of a hybrid model that classifies a network traffic first either as benign or intrusive. When the traffic is established as intrusive, the model additionally detects the intrusive traffic category traveling throughout the network. Furthermore, the research proposes deep learning and machine learning algorithm usage in determining the quickest and utmost precise algorithm for network intrusions detection.
Fast Adaptive and Effective Image Reconstruction based on Transfer Learning
Authors: Aleem Zeba
Published: July 2022

Abstract: We, as humans, are masters at transferring information from one work to another. This means that if we come across a new problem or task, we recognise it and apply our past learning experience's applicable information As a result, our job is simple and quick to do. When taking pictures, especially at night, the resulting photos are sometimes afflicted with filthy pixels that are known as image noise, poisson noise followed by additive Gaussian noise or would be awful to find out an image of ancestors that has been altered due to various constraints. The dataset for the experiment consists of blur text image of various noises. The model parameters use data of blur text image, shaken images, noisy, fuzzy text images. This paper represents the image reconstruction system with the help of transfer learning strategy. By matching several classic spatio filters, the transformation of clear image recognition can be made. The results help in validation of robustness and effectiveness of the model. The solution is defined in this paper which helps in higher visual quality of text images.
A Survey on Medical Remote Monitoring of Multiple Physiological Parameters Based on Wireless Embedded Internet
Authors: Padashetti Mallikarjun S
Published: July 2022

Abstract: In rural areas the medical assessment methods have not improved enough to meet the needs and physiological parameter monitoring is been done by local monitoring system and also it has become an urgent need for the people especially for elder people and this technology enables users to concern about their personalized ,networked real time health monitor.The main resolution of this paper is that to design a global architecture with specification for medical policies which are applicable to design and implementation of an alert based medical system.so in the proposed system we are going to combine an ARM based embedded technology and a mobile technology i.e. embedded computer system and human computer interaction interface module and helps to transmit the local detection data to servers at the hospital through an internet network. Our proposed system collects the data with the help of particular sensor and display the multiple physiological parameters like body temperature , blood pressure ,blood oxygen pulse rates and also ECG signals for particular individuals in real time and Whenever the person encountered with dangerous or emergency situations we are going to get the led alarm signals. wireless technology expansion has been accelerated due to its suitability and cost effectiveness, compared with wired technology.the experimental results shows that the system has good data collection effect so that the effect of medical index collection on family health population service can beachieved]. Hence the system is easy to develop, stable in data sharing therefore its an ideal model for hospitals and public health centers.
Legal and Organizational Aspects of Increasing the Level of Project Competence of Municipal Employees
Authors:   State University of Management, Gegedyush N.S. , Mamlina E.A. ,   Russian Presidential Academy of National Economy and Public Administration
Published: July 2022

Gaps in methodological support for the implementation of project activities in municipalities are characterized. The need to form a universal methodological toolkit for the development and assessment of project competencies of municipal employees is substantiated. Results of authorial sociological studies of municipal employees of the Saratov region are presented.
La Extensión Universitaria como una herramienta para la apropiación social del conocimiento
Authors: Chaves Osorio José Andrés , Correa Aristizabal Gloria Inés , Estiwar Gómez Jhon , Rios Mariana , Montes Javier Felipe , López Juan Diego , Lugo Jorman , Pachón Sergio Andrés , Loaiza Julian David , Mendoza Elias , Ramirez Maria Camila , Victoria Mena Calos Alfonso , Bedoya Ladino Lina Melisa , Ocampo Cardona John Jairo , Anduquia Garaya Felipe , López García Jessenia , Márquez Parra Paydieg Nathalia , España Quiceno Natalia Estefanía , Borráez Segura Bernardo , Zapata Gordon Adonai , Castillo Rodríguez Nancy Janet , Escobar Vekeman Cecilia Luca , Ramírez Herrera Andrés Felipe , Mesa Arenas Heidy Yicel , Quintero Saavedra Jorge Iván , Rodríguez García Orlando , Agudelo Bedoya Jessica Alejandra , Serna Jiménez Johanna Andrea , Rivera García Laura Milena , Hoyos Arbeláez Paula Andrea , Guarín Medina Johana , Valencia Villa Michael Stiven , Sánchez Alejandra , Hurtado Loaiza Claudia Viviana , Villegas Martínez Kevin Johan , Cardona Ramírez Jonathan , Quintero Salazar Edwin Andrés , López Restrepo Yoselin , Espitia Mosquera Daniela , Salazar Manzano Luis Eduardo , Parra Patiño Miguel Ángel , Holguín Londoño Mauricio , Quintero Riaza Héctor Fabio , Sánchez Naranjo Julio César , García Cuevas Andrés Mauricio , Ortiz Quintero Cindi Esperanza , Chavez Obando Diego lejandro , González Ocampo Diego , Pais Ospina Daniel Humberto , Molina Cabrera Alexander
Published: July 2022

La Universidad Tecnológica de Pereira (UTP), a través de la Vicerrectoría de Investigaciones Innovación y Extensión, busca promover la extensión universitaria como una estrategia que permite el intercambio, la aplicación y la integración del conocimiento científico, tecnológico, artístico y cultural; al igual que la vinculación con la realidad social, cultural, económica y productiva de la región y del país, al darle valor a las capacidades institucionales y al generar una articulación e integración entre la docencia y la investigación, la cual permita la identificación de problemáticas y la propuesta de alternativas de solución; además de las oportunidades en el sector externo para realizar intervenciones y alianzas que conduzcan a fortalecer y aportar al desarrollo económico, cultural y el bienestar de la comunidad en general. En este sentido, para el año 2019 se ofertó, a los miembros de la comunidad universitaria, la «Convocatoria interna para la financiación de proyectos de extensión social, cultural y artístico» cuya ejecución se realizaría en el año 2020 y cuyo objetivo era fomentar el desarrollo de proyectos de carácter social, cultural, artístico, los cuales permitieran la solución y transformación de problemáticas que involucrarán o beneficiarán sectores de diferentes comunidades
Recurrences of tachycardia after repeated slow pathway ablation: What is the diagnosis?
Authors: Vijay Soorampally , Shah Harshad , Lokhandawala Yash
Published: July 2022

A 30-year-old man with a structurally normal heart was referred to us
with a 2-year history of recurrent episodes of rapid paroxysmal
palpitations. A few episodes required hospitalization and were
terminated with intravenous diltiazem. During electrophysiology (EP)
study done twice before in other hospitals, the patient was diagnosed as
typical atrioventricular nodal reentrant tachycardia (AVNRT) and
underwent radiofrequency ablation of the slow pathway. However, the
episodes recurred.  Because of the patient’s persistent symptoms, an EP
study was performed again. Tachycardia was easily induced using atrial
extrastimuli, ventricular extrastimuli and with rapid atrial pacing.
BRAF Mutation in Neuroblastoma: A Case Report of a Rare Finding
Authors: Hutchins Sara , R Sara Ferguson , Li Geling , Beierle Elizabeth , Alva Elizabeth
Published: July 2022

Neuroblastoma is the most common extracranial solid tumor in children.
Approximately half of the patients with Stage MS disease have tumor
regression, but 10-15% will have progression of disease. BRAF
mutations are common in some cancers, such as melanoma and pediatric
astrocytoma, but are rare in pediatric extracranial solid tumors,
including neuroblastoma. Here we report the case of an infant with Stage
MS neuroblastoma with a rare BRAF V600E mutation and subsequent
progression to Stage M disease.
Concomitant Anaortic OPCAB and Transfemoral TAVR for High-Risk Patients: A Case Series
Authors: Hardisky Dariya , Vijayakumar Ammu , Whitson Bryan , M Scott Lilly , Boudoulas K. Dean , Vallely Michael P.
Published: July 2022

Background Combined ONCAB and SAVR is the treatment of choice
for concomitant severe aortic stenosis and coronary artery disease not
amenable to PCI intervention. Extensive aortic calcification and
atheromatous disease may prohibit cardiopulmonary bypass and aortic
cross clamping. In these cases Anaortic OPCAB is a Class I (EACTS 2018)
and Class IIA (AHA 2021) indication for surgical coronary
revascularization. TAVR has similar benefits when compared to SAVR for
this population (Partner 2 & 3). Herewith we describe a case series of
concomitant Anaortic OPCAB and TAVR via the transfemoral approach for
patients with coronary artery and valve disease considered too high risk
for traditional CABG and SAVR due to severe aortic disease.
Methods/Results Eight patients underwent anaortic OPCAB and
transfemoral TAVR during the same anesthetic in a hybrid operating room.
Seven patients with multi-vessel disease had anaortic OPCAB via a
sternotomy using composite grafts, one patient with LAD disease had
anaortic OPCAB using a Da Vinci assisted MIDCAB approach. All patients
then had an Edwards Sapien 3 TAVR placed percutaneously via the common
femoral artery. There was no thirty-day mortality or CVA in the series
and all patients were discharged to home or a rehabilitation facility on
day 4-13. Conclusions Combined anaortic OPCAB and transfemoral
TAVR is a safe and feasible approach to treating concomitant extensive
coronary artery disease and severe aortic stenosis. The aortic no-touch
technique provides benefits in the elderly high-risk patients by
reducing the risk of post-operative myocardial infarction and
cerebrovascular stroke.
A patient with longstanding pancytopenia and hepatosplenomegaly
Authors: Nyangena Simon , Mulwa Evelyne , Mutiso Bonface
Published: July 2022

Leishmaniasis is a common cause of pancytopenia and hepatosplenomegaly
in tropical and sub-tropical regions. A high index of suspicion is
required to diagnose and manage patients with leishmaniasis. History of
travel should always be elicited in patients with suggestive clinical
presentation.
Copper strip corrosion testing in hydrocracked base oil in the presence of different inhibitors
Authors: Malinovic Borislav , Borkovic Aleksandra , Djuricic Tijana
Published: July 2022

In this paper, the corrosion test of copper in hydrocracked base oil HC-6 was
performed in the presence of an additive for extremely high pressures (EP
additive) in different concentrations. EP additives are used to reduce
wear in industrial applications, under high load conditions. Since most of
these additives are sulfur-based, whose compounds can be corrosive at high
temperatures, their use leads to corrosion of some materials. To prevent
corrosion in the base oil with the EP additive, three commercial corrosion
inhibitors are added. By chemical composition, the inhibitor RC 8210 is a
derivate of dimercaptothia-diazole, RC 4220 is a synthetic neutral calcium
sulfonate, and IRGAMET 39 is a derivative of tolutriazole. Efficiency of the
inhibitors was monitored by standard test methods for corrosiveness to
copper arising from petroleum products by the copper strip test (ASTM D-130)
and the gravimetric method, while oxidation stability of the base oil was
monitored by peroxide number determination. Oxidation was performed at 100?1?C for 3 and 24 h. Results of these studies have shown that IRGAMET 39 is
the most effective inhibitor in the presence of the EP additive at both
examined oxidation times.