bluuebunny/crossref_metadata_2025 huggingface dataset:
Improvement of Cell Penetrating Peptide for Efficient siRNA Targeting of Tumor Xenografts in Zebrafish Embryos
Authors: Bettache Nadir , Rossel Mireille , Cubedo Nicolas , Laroui Nabila
Published: May 2022

Cell-penetrating peptides (CPPs) are one of the most eﬃcient vectors for achieving cellular uptake of diﬀerent cargos. However, their application in cancer therapy is greatly limited due to the lack of tissue selectivity, as they are widely distributed in most tissues following in vivo administration. To introduce speciﬁcity and improve tumor targeting, a combination of a cell-penetrating peptide (CADY) and a targeting ligand, the laminin receptor binding peptide (YIGSR) to target the 37/67 kDa laminin receptor, known to be upregulated in most cancer cells and to be correlated with the invasiveness and metastatic potential, is formulated. The targeting CPP named “Y-CADY” does not induce any change in the physico-chemical properties (secondary structure, small interference RNA (siRNA) complexation, size, and charge) of CADY. Interestingly, Y-CADY is more eﬃcient than CADY for gene silencing in cell lines, and more potent for targeting and for inducing apoptosis of tumor xenografts in zebraﬁsh embryos. The present study demonstrates that the novel targeting CPP “Y-CADY” is eﬃcient for gene silencing and can serve as a vector to target cancer cells in vivo.
A Living 3D In Vitro Neuronal Network Cultured inside Hollow Electrospun Microfibers
Authors:   School of Mechanical and Aerospace Engineering Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore., Zhang Yilei , Damodar Ranjan Vivek , Wu Yingjie
Published: May 2022

Micro/nanofiber-based scaffolds are widely used as a physical graft for axon growth in vitro for nerve tissue engineering. In this study, the fabrication of hollow coaxial microfibers with a 3D structure for directional neuronal cell culture is reported. The coaxial microfibers with poly-ε-caprolactone (PCL) sheath and polyvinyl alcohol (PVA) mixed with PC 12 cells as core are prepared using a coaxial double cylinder based on the liquid–liquid coflowing electrospinning method. By optimizing the electrospinning condi-tions, uniform microfibers with an average diameter of 54.6 µm are obtained using a PCL concentration of 20% and a tip-to-collector distance of 6 cm with a voltage of 6 kV. After selectively dissolving the PVA core, pheochro-mocytoma 12 (PC12) cells are successfully cultured inside these fibers. It is experimentally confirmed that such 3D hollow fibers can support and guide PC12 cells to grow, proliferate, and differentiate inside the hollow fibers and form 3D connected neuronal networks with axons extended along the hollow fibers. This implies that complex nerve connection could be constructed using the low cost and powerful liquid–liquid coflowing electrospinning method, which open the door to culture well-controlled nerve connections as in vitro models for neural tissue regeneration, brain disease models, and so on.
Comparison of the Hybrid Capture II Method with a PCR-Based Screening Method Using a Carboxyﬂuorescein-Labeled Primer for Detecting Human Papillomavirus in Cervicovaginal Liquid-Based Cytology
Authors: Sato Yasuharu , Norimatsu Yoshiaki , Nishikori Asami , Gion Yuka , Saiki Yusuke
Published: May 2022

Objective: Human papillomaviruses (HPVs) are DNA viruses, of which over 120 types have been identiﬁed. The main screening methods for HPV-DNA include the hybrid capture II (HC-II) and polymerase chain reaction (PCR) assays. Liquid-based cytology (LBC) is a high-quality technique developed to improve the diagnostic reliability of traditional Papanicolaou tests (Pap tests). However, relatively few studies have compared the eﬃcacy of PCR and HC-II assays using cervicovaginal LBC specimens. In this study, we conducted a comparative analysis with results derived from the HC-II assay to assess whether a PCR-based assay using a novel carboxyﬂuorescein (FAM)-labeled primer could be applied to cervicovaginal LBC specimens. Methods and Results: We analyzed 59 specimens diagnosed as atypical squamous cells of undetermined signiﬁcance (ASCUS) by Pap tests. After extracting DNA from cervicovaginal LBC specimens, we performed PCR using a FAM-labeled consensus primer, and then conducted fragment analysis to conﬁrm the results. The value of the kappa statistic measuring the agreement between the PCR and HC-II results was 0.8557, or “almost perfect agreement.” Conclusion: Our novel HPV-PCR assay can be successfully applied to cervicovaginal LBC specimens for the detection of HPV subtypes.
Review of Liver Enzymes Abnormalities in Patients with SARS-CoV-2 Infection
Authors:   Department of Scholarships and Cultural Relations, Ministry of Higher Education and Scientific Research, Baghdad, Iraq Department of Medicine, Section of Hematology, College of Medicine, Al-Nahrain University, Baghdad, Iraq, F. Al Tameemi Waseem , Habeeb Mohammed Matar Al Anas
Published: May 2022

Background: Liver function derangements have been reported in COVID-19, but reported rates are variable. Treatment in intensive care units (ICU) has become a major challenge; therefore, early recognition of severe and critical cases is absolutely essential for timely triaging of patients. Objectives: to review incidence of acute liver injury in patients with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Patients and methods: obtaining clinical records and laboratory results prospectively from one hundred patients with PCR-confirmed or radiography-confirmed COVID-19, who are admitted to the isolation wards and emergency departments of three different hospitals in Baghdad from 1st of December 2020 to 31st of March 2021. Results: The mean age group of study sample was (61.2±12.36) years, males formed 59%. GI manifestations were recorded in 47% of total cases, and were statistically correlated with disease severity (P value 0.001). Wide range of LFT abnormalities are found in patients with COVID-19, but none of which showed statistical significance in relation to disease severity. When LFT results were reviewed in relation to previous comorbidities, GGT was found to be statistically correlated with the underlying CLD (P value 0.001), and ALP with both underlying CLD and DM (P values <0.001 and 0.029, respectively) and even in the absence of underlying comorbidity (P value 0.006). Conclusion: Liver enzyme derangements are increasingly reported in patients with COVID-19, but are not necessarily correlate with disease severity. Cholestatic picture of liver enzyme derangement is a more commonly recorded manifestation.
Association Between Serum Magnesium Level and Metabolic Syndrome Prevalence in Chinese Adults: A Population Study
Authors:   Precision Nutrition Innovation Institute, School of Public Health, Zhengzhou University, Zhengzhou, China, Zhou Mengyao , Wang Jing , Wang Junhao , Yang Wenjie
Published: May 2022

Aims: To assess the relationship between the level of serum magnesium and metabolic syndrome in Chinese adults. Methods: We used data from the China Health and Nutrition Survey (CHNS) conducted in 2009, and conducted investigated a cross-sectional study of 7364 Chinese subjects. A total of 1676 people (659 men and 1067 women) met the criteria of metabolic syndrome. Rank correlation analysis and binary Logistic regression analysis were performed to analyze the influence of serum magnesium concentrations, provinces and gender on the prevalence of metabolic syndrome. Results: The prevalence of metabolic syndrome is 22.8%. The concentration of serum magnesium in people with metabolic syndrome is higher than that in healthy groups (0.95 mmol/L vs 0.93 mmol/L, P<0. 001). The serum magnesium concentration and the prevalence of metabolic syndrome are higher in magnesium-rich areas than in non-magnesium-rich ones, with significant differences. (serum magnesium: t = 7.078, P<0. 001; metabolic syndrome: χ2 =46.529, P<0. 001.) The Spearman rank correlation coefficient between serum magnesium level and the prevalence of metabolic syndrome is 0.903 in males, and 0.891 in females. All participants were divided into four groups according to the serum magnesium concentration quartile. The risk of metabolic syndrome increases by 1.595 times (95% CI 1.358-1.873). Conclusion: Higher serum magnesium concentration may be a risk factor for metabolic syndrome. Serum magnesium concentration is moderately and even highly correlated with the prevalence of metabolic syndrome, and there is a gender difference in this relation.
Prognostic Impact of Acute Kidney Injury on Decompensated Heart Failure
Authors: Bonfante Batista Layane , Ramos Barbosa Roberto , Feu Rosa Carrera Caroline , Martins Curcio Gabriella , Dall’Orto Lima Pietro , Angelo Astolpho Vinicius , Costa Sylvestre Rodolfo , Crespo De Barros Lucas , Giestas Serpa Renato , Araujo Calil Osmar , Calil Araujo
Published: May 2022

Decompensated heart failure (HF) is a complex and debilitating syndrome, which constitutes a severe emergency condition with high morbidity and mortality. Kidneys play fundamental roles in the pathophysiology of HF and, in the context of decompensations, acute kidney injury (AKI) has a bilateral cause-and-effect relationship, which can significantly worsen prognosis. However, the interaction between AKI and decompensated HF is poorly understood. This study aimed to assess the occurrence of AKI in patients hospitalized due to decompensated HF and to analyze its prognostic impact during hospitalization. This prospective single-center observational study included patients hospitalized due to decompensated HF in a tertiary-level teaching hospital, between July 2017 and January 2020. Patients who developed AKI during hospitalization were compared with those who did not develop it, until hospital discharge or death. AKI was defined as a serum creatinine increase greater than or equal to 0.3 mg/dl in 48 hours, a 1.5-fold increase in baseline creatinine in seven days or urinary volume <0.5 ml/kg/h for six hours, according to the Acute Kidney Injury Network (AKIN) criteria. The endpoints analyzed were death, need for invasive mechanical ventilation (IMV), and length of hospital stay. The Wilcoxon, Mann-Whitney and unpaired student t tests were used. Ninety-nine patients were included, with a mean age of 65.4±14 years, of which 47 (47.5%) were male and 52 (52.5%) were female. Reduced ejection fraction (EF) was observed in 77.8% of patients, whilst 22.2% had a diagnosis of HF with preserved EF. Decompensation clinical classifications were dry and warm=7 (7.1%), wet and warm=72 (72.7%), wet and cold=15 (15.1%) and dry and cold=5 (5.1%). The average left ventricular ejection fraction was 38.3%±15. AKI occurred in 22 patients (22.2%). Comparison between patients who evolved with and without AKI showed higher mortality (36.4% vs 10.4%, p=0.004) and need for IMV (54.5% vs 13%, p=0.0001) in the first group. There was no significant difference regarding the length of hospitalization (22.9±19 vs 18.8±16 days, p=0.26). Our results pointed to the occurrence of AKI was frequent in patients with decompensated HF requiring hospitalization, affecting approximately one out of five patients. This complication was significantly associated with increased mortality and the need for IMV during hospitalization.
COVID-19 Contamination in Hospital Staff: Determinism, Epidemiological Features
Authors: Angèle Azon-Kouanou , Kouessi Anthelme Agbodandé , Armand Finagnon Wanvoégbè , Mahoutin Sèmassa Ghisl Missiho , Yves Morel Sokadjo , Adélakoun Ange Géoffroy Faladé , Houénoudé Mickaël Arna Assogba , Binji Lisa Mukwege , Katabana Delphin Murhula , Richard Oba , Dansou Eugénie Dansou , Djimon Marcel Zannou , Carnio Simona
Published: May 2022

The first cases of SARS-CoV-2 were diagnosed in BENIN in early March 2020. Measures have been instituted to control its spread, including barrier measures. The objective of this study is to determine the effectiveness of self-application of these measures among hospital staff at CNHU-HKM. Methods: This is a case-control study conducted from July 1, 2020 to January 1, 2021 on the risk factors of COVID-19 contamination. Included were any CNHU-HKM staff who underwent PCR testing for COVID-19 at the CNHU-HKM triage center during the study period. Data were collected using a survey form administered to respondents. Data analysis was performed with R 4.1.0 software. Results: A total of 141 patients were included in the study. The mean age was 35.5 (±11.1) years. The sex ratio (M/F) was 1.87. Fon and Mina ethnic groups were the most represented (74.5%). Workers older than 50 years were more likely to be exposed to COVID-19 (OR=4.83). Nurses in contact with patients (87.2% of the study population) had a higher risk of contamination (OR=3.6), compared to administrative staff. The FFP2 mask was a protective factor (OR=0.35) as well as long-term chemoprophylaxis with chloroquine (OR=0.44). Conclusion: Health care workers are at high risk of contamination by COVID-19. Barrier measures and chloroquine chemoprophylaxis are indeed mandatory in controlling the spread of the pandemic.
Blood Count Under the Effect of Erythropoietin (EPO) in Patients with Chronic Hemodialysis
Authors:   Hemodialysis Center, Public Health Institution Health Centre Zivinice, Bosnia and Herzegovina, Osmanovic Elvedin , Cerkezovic Mersiha , Jagodic Almir
Published: May 2022

One of the most common associated diseases in dialysis patients is anemia. The number of erythrocytes, hemoglobin and hematocrit is reduced in patients that suffer from anemia. These three measurement parameters represent the most important "red part" of the blood count. Due to renal insufficiency, patients on hemodialysis do not have enough erythropoietin, which healthy kidneys excreted, and is necessary for hematopoiesis. Erythropoietin (EPO) is the main regulator of the daily production of red blood cells. EPO that is execrated by peritubular capillary membrane cells in the kidneys circulates within plasma in order to interact with target cells in the bone marrow to maintain or stimulate erythropoiesis. The main purpose of the action of EPO is the formation of erythroid colonies. During observation of differences in the ordination of EPO in each group between men and women, there is no statistical significance evident in the incidence of anemia before and after therapy, as in p=0.70. The target concentration of hemoglobin, which must be constantly maintained in people with chronic renal anemia, is 110-120 g/l, while the target value of the number of red blood cells is 4-5x10 12/l and the hematocrit value is 0.35-4.5 l/l, with a slight outflow depending on the gender of the patient. The final values of the participants in our study treated with epoetin alpha show higher values of hemoglobin, hematocrit and erythrocytes, while the average values recorded in participants treated with darbepoetin decreased.
The Basis of Social Networks in Variation within Kurdish Language
Authors: Jalal Haji Faraj Shakhawan
Published: May 2022

The title of this study is (The Basis of Social Networks in Variation within Kurdish Language). This study is within the field of sociolinguistics and is particularly concerned with a descriptive analysis of the term social network and a division of linguistic units based on the social networks of users and their effect on change and variation in Kurdish language. The study comprises of two parts. The first part explains the social network theory, its criteria, its types, and the different viewpoints related to this theory. In addition, the weak and strong ties, which are the driving forces for the development and novelty of language, are presented. The second part is devoted to the practical aspect of the effects of the social network ties on the variation in Kurdish language. In the end, the results are obtained using the SPSS statistics and then analyzed based on the social network theory and descriptive-analysis methodology.
White-Collar Crimes and Corruption at Border Crossings in the Kurdistan Region of Iraq: Causes, Effffects, and Challenges for Reform
Authors: Abdullah Sarwar , Gray Tim
Published: May 2022

This paper examines border crossing corruption in Kurdistan in northern Iraq. Based on data obtained from key informants, government documents, peer review literature and grey literature, the study uncovered widespread white-collar fraud by criminals and corruption in all four formal, and all five informal, border crossings in Kurdistan. These criminals and corruption take two forms: collusion between factional groups and private companies; and white-collar fraud committed by criminals. The unique feature of these criminals and corruption is that it is the result of an officially sanctioned system of sharing management of border control posts between Kurdistan’s two main political parties - the Patriotic Union of Kurdistan (PUK) and the Democratic Party of Kurdistan (PDK) – i.e. the politicization/privatization of border control governance. Privatization in this context attracted criticism due to abuse and inefficiency. For the most part, the abuse focuses on consequences of privatization. Moreover, politicization has drawn the private sector into its web of corruption thereby creating a blend of politicization and privatization wherein officials and owner of firms have used legal means to protect their own interests thereby exercising an artificial monopoly and privilege. The total estimated sum of revenue lost to the government of Kurdistan because of these criminals and corruption is more than $US 200 million per month . The present paper discusses two alternative ways of dealing with these criminals and corruption: either radical change to end border control corruption completely by structural and/or cultural change; or piecemeal reform to reduce the extent of the damage caused by border control corruption. While the long-term aim should be radical change in order to eliminate the problem, a more realistic objective is piecemeal reform in order to manage the problem by minimizing its effects.
Economic Growth and Income Inequality: The Role of Fiscal Policy, Iraq as an example for the period of 2004-2019
Authors: Abdullah Ranj Tahir , Husain Ali Jalal
Published: May 2022

Generally economic growth tends to lower inequality in the economy. The objective of this article is to determine the role of fiscal policy on inequality throughout economic growth. Iraq for the period of (2004-2019) has been chosen. Gross domestic production (GDP), Government expenditure (G.EXP), Poverty, and ISIS variables have been considered to model this article. Two models have been applied. The first one; is the model of the effect of G.EXP and ISIS on GDP by using the ARCH model. The result shows that G.EXP has a positive impact on economic growth. The second model is to examine the effect of GDP on Poverty by using the ARDL model. The result shows that GDP has a negative relationship with poverty as GDP increase poverty tends to decrease. The impacts of previous economic growth have more effect on poverty. It is anticipated that G.EXP decrease and GDP increases for the period of 2020 to 2025. It is recommended that government has to take immediate action to lower the rate of poverty and lessen the income distribution inequality in economy and reconstruct the harmed area by war to return migrated people to their original place. Increase the investment expenditure. Further study is needed with different and longer time interval and other relative variables related to this topic and using different methods for econometric models.
DESKTOP VIRTUAL ASSISTANT
Authors: Chaurasia Abhishek
Published: May 2022

AI is the core specialization of making smart machines, especially computer programs. It relates with the familiar task of using computers to understand human intelligence. AI is broadly classified the study of computations that permitfor perception, reason and action. This paper gives an overview idea of a personal-assistant for Windows based systems. The system draws its inspiration from virtual assistants like Cortana for Windows and Siri for iOS. It has been designed to provide a user-friendly interface for carrying out a variety of tasks by employing certain well-defined commands. As a personal assistant, this paper focuses upon assistance of end-user with day-to-day activities like general human conversation, searching queries on Google, searching for videos, retrieving images, live weather conditions, word meanings, searching for medicine details, health recommendations based on symptoms and reminding the user about the scheduled events and tasks. The user statements/commands are analyzed with the help ofmachine learning to give an optimal solution.
Cybercrime Report Application
Authors: Mangal Prof. Mayank
Published: May 2022

When it comes to Cybercrime, most people are unaware about the process for registering the complaint. The victim is unknown about the process involved in registering a complaint he/she is also unaware about the things he should not be shared on the internet. Complaint is register on the website the user will get an email notification about the complaint is register on the website the user will get an email notification about the complaint and the complaint will be forwarded to the cybercrime cell of the user location neighboring police station.
SECURE E-VOTING USING BLOCKCHAIN TECHNOLOGY
Authors: Ramteke Barkha
Published: May 2022

An election is an important event in all countries. Traditional voting has several drawbacks, including the expense of time and effort required for tallying and counting results, the cost of papers, arrangements, and everything else required to complete a voting process. Many countries are now considering online e-voting systems, but the traditional e- voting systems suffer a lack of trust, it is not known if a vote is counted correctly, tampered or not. A lack of transparency means that the voter has no assurance that his or her vote will be counted as they voted in elections. Electronic voting systems are increasingly using blockchain technology as an underlying storage mechanism to make the voting process more transparent and assure data immutability as blockchain technology grows in popularity. The transparent feature, on the other hand, may reveal critical information about applicants because all system users have the same entitlement to their data. Furthermore, because of blockchain's pseudo- anonymity, voters' privacy will be revealed, and third parties involved in the voting process, such as registration institutions, will be able to tamper with data. To overcome these difficulties, we apply Ethereum smart contracts to blockchain-based voting systems. Keywords— Blockchain, e-voting
A STUDY ON PERFORMANCE EVALUATION OF APACHE SCORE WITH ADMISSION RESOURCE IN MICU TO PREDICT THE HOSPITAL MORTALITY AT ONE OF THE MULTISPCILAITY HOSPITAL, BANGALORE
Authors: Dutt Dr. Deepak
Published: May 2022

Realizing the utility of scoring systems in mortality prediction of critical ill patient admitted to medical intensive care units (MICUs), studies worldwide have expressed a need to validate the Acute Physiology and Chronic Health Evaluation (APACHE) II score for databases of respective countries. Literature available in this area in the Indian context is scanty. The present study was undertaken to evaluate of quality of patient care in MICU in terms of APACHE score in predication of mortality risk, as well as in determination of model validity in critically ill patients in MICU. The study was prospectively carried out 2 months at MICU of a tertiary Institute in Bangalore, which admitted consecutive medical and surgical patients. Based on admission resource of MICU admission, a widely used ICU prognostic scoring model, the Acute Physiology and Chronic Health Evaluation II (APACHE II) scoring system has been recognized. It has shown to be an accurate measurement of patient severity and correlates strongly with outcome in critical patients. Nonetheless, the qualified systematic database indicating APACHE II score, i.e. patient diagnosis, clinical condition, scientific parameters and laboratory values could hardly be established in routine. Key Words: APACHE Score, MICU (Medical Intensive Care Units), Mortality, Critical Patients, Prediction.
PELTIER SENSOR BASEDPOWER GENRATION FOR DOMESTIC LOAD BY USING WASTE MATERIAL
Authors: Halmare Abhay
Published: May 2022

Abstract.Wastage is a challenging management in developing countries. There are many various technologies to generate electricity or heat from wastes. However, reuse and recycling are first prioritized as left a fraction of waste can be used energy recovery. The electricity sector in India supplies the world's of6th largest energy consumer, accounting for 3.3% of global energy consumption by more than 18% in global population. About 65.35% of the electricity consumed in India is generated by thermal, 21.54% by hydroelectric power plants, 2.71% by nuclear power plants and 10.43% by Renewable Energy Sources. More than 52% of India's commercial energy demand is met through the country's vast coal reserves. The country has also invested heavily in recent years in renewable energy utilization wind energy. This project will give an overview of the current weast used to generate electricity and it helps to reduce the pollution.
Big Data Analytics in Agriculture
Authors: Rajesh Pooja
Published: May 2022

This paper discusses agricultural difficulties as well as the strategies utilized to apply the offered remedies. Re- search and incremental growth with the use of data analytics are the only ways forward for any industry nowadays.By Using data analytics in agricultural sector we can analyze the historical data and take out the useful information which helps enhance agricultural patterns and save resources.Big Data will result in severe modifications mostly in roles and power relationships among various parties in today’s industrial food supply chain networks. Using Big data techniques the farmers have increased revenue and decreased the wastage and chances of loss. Today, this can be seen in a variety of agricultural fields. In this work, we present feasible solutions and minor improvements to the publications previously reviewed. Today’s agricultural industry is flourishing, and after the green revolution, it’s past time to make the necessary modifications and delve further into the subject’s nuances. Index Terms— IoT, Big Data analytics, Agriculture, Smart Farming, Precision Agriculture.
Optimistic Solution for Book Store
Authors: Singh Kamna
Published: May 2022

In this day and age, mobile phones and applications play a role in every person’s life every day. Book shopping App allows users to check for various books and purchase/rent them. The project consists of a list of books displayed in various models and designs. The online books shopping project brings an entire Books Store online and makes it easy for both buyer and seller to make deals on books.
Stock Prediction Application using Machine Learning
Authors: Gudekar Amir
Published: May 2022

The stock market is an exceptionally powerful market where nothing is basically as steady as a stone however as the innovation is overhauling there are numerous ways and strategies one can attempt to realize this powerful change and be arranged appropriately. This paper centers around such various strategies for progressively learning the market and its patterns. We have involved two distinct models for this paper and have additionally performed sentiment analysis on the tweets in regards to the organization or the stock, the model with the least mistake is the ideal and the most favored technique for prediction. The aftereffects of this arrangement have given an unmistakable and shrewd thought regarding the random ups and downs of the market and furthermore another methodology for investors with the goal that they know where they can wager their cash. The ARIMA model is giving the best accuracy for each stock. Key Words: ARIMA, Time Series, Forecasting, Sentiment Analysis, Stock Market Prediction, Tweets
CharityChain – A Way for Distributed Charity Donations
Authors: Kotwal Prathamesh
Published: May 2022

Donors are suspicious of how their funds are being spent. Charities are susceptible to the same sorts of fraud that plague companies, such as embezzlement and executive misappropriation of funds. Blockchain technology has recently been utilised in a variety of industries. You can make the process of sending and receiving money more transparent by using blockchain technology. It is vital to provide a single platform for monitoring donations that will keep track of all contribution, transaction, and donor information. The goal of this article is to illustrate how a blockchain-based infrastructure may be used to track donations. The system, which is based on blockchain technology, gives contributors, charity foundations, and recipients with transparent accounting of activities. On a philanthropic platform, a transparent contribution channel should be offered, allowing public users and donors to see and monitor where, when, and to whom charitable gifts were sent. Key Words: Smart contract, etherium, blockchain, transactions, Ledger.
DESIGN AND EXPERIMENTAL ANALYSIS OF BUBBLEDECK SLAB
Authors: Das Ritesh
Published: May 2022

Bubble deck, which is another name for voided slabs whose core is placed with HDPE balls that may be of different shapes and sizes is a technology that is presently procuring awareness around the world as a result of its enormous positive effects on the whole structure; this include its reduced weight, economical and mutability in terms of slab span. This research work has focused on the use of bubble deck in construction industry. Concrete grade of M35 was used. Two slabs were casted, one with HDPE Balls and the other without balls. The slab without HDPE balls (conventional slab) was casted with (78.13 kg) of concrete. On the other side the slabs with bubbles, which has spherical balls of size 60mm in which (63 kg) of concrete was used with B/H ratios of 0.48 and 49 spherical balls respectively. A total 24% of concrete was saved in the Bubble Deck slab. Considering the percentage of concrete saved, one slab was designed usually and in another a 24% reduction in dead loads was assumed and further designed was carried out. Costing of both the slab was carried out and comparison was done. In experimental analysis, destructive and non- destructive test was carried out on both the slabs and result has been compared . Key Words: RCC Slab, HDPE Balls, Reinforcement mesh.
Protection of Three Phase Induction Motor Using Embedded System
Authors: Sravani P. Lakshmi
Published: May 2022

This paper present a PIC microcontroller – based control system for the protection of a three phase induction motor. The use of microcontroller technology has enabled the design of energy efficient and cost effective reliable control systems for induction motors. Fault types of induction motor like unbalanced voltage, over voltage, under voltage, over current, phase failure, over heat and more considered in this work. Fault monitoring and diagnosis are performed using protest environment. Fault classification is achieved through the microcontroller which includes a program for fault classification. When the fault occurs, the microcontroller sends a signal to the interfaced digital relay to trip the motor circuit and another signal to an LCD to display the type of fault. The use of microcontroller reduce the response time of the protection system and make it more suitable for real time operation. The proposed protection scheme is simulated using MATLAB Simulink. MATLAB simulation results show that the well trained protest scheme is able to detect all types of internal faults at different locations. The microcontroller used in this work is the high performance enhanced flash PIC16F877A Microcontroller of microchip which has an on chip analogue to digital converter peripheral, among other features. Keywords: PIC microcontroller, three phase induction motor, fault classification, Proteus environment.
Moving Object Tracking Using Multiple Cameras in Network
Authors: Siddque Nazzel
Published: May 2022

In real time object tracking is an important task in various surveillance application. Nowadays, surveillance system very common in offices, collage campus, shopping malls etc. In this paper, an automated video surveillance system presented. Althrough tracking and counting system are commercially available today; there is need for further reaserach to address the challenges of real world scenarios. There is lot of surveillance cameras installed around us but there are no means to monitor all of them continuously. It is necessary to develop a computer vision based technologies that automatically process those images in order to detect situations or unusual behavior. In order to solve the problem of poor real time tracking performance using convolutional neural network. This paper proposes a fast and accurate real time video detection and tracking algorithm. Keyword: - Video surveillance system, Moving object detection, Tracking, Background subtraction. I. Introduction Real time human body detection and tracking in indoor environment deals with the concept of higher level application of image processing and computer vision. The following key components of identify to path of real time tracking are extracting a feature, background image subtraction. If two similar color objects come to close the tracker of one object can jump to associated object. The problem is called hijacking problem. Drifting problem occur when an object abruptly changes its direction to reverse. In that case it’s become very difficult to track the object because the motion model does not work. An object tracking can be understood as the problem of finding the path (i.e. Trajectory).
PRE-COMPUTER LAB MONITORING SYSTEM
Authors: Vairalkar Prof.M.K.
Published: May 2022

Monitor students activities during practical time is difficult also teacher has to visit each student machine to check is practical work. Due to computer lab monitoring system teacher can easily judge that if there is anything illegal or out of the range activities of students privilege are running on the students desktop. This system is useful in various organizations, government, building, school and colleges. Monitoring server is typically connected to a monitor port on the switch. If multiple Switches are used in an installation, the monitoring Server may need a connection to all of them. That connection can either be a physical cable, or if your network switches support it, a LAN specifically configured for monitoring traffic. LAN monitoring project aims to develop various network utilities which are required to effectively monitor a LAN network. Project aims to develop an integrated software solution that allows a network administrator to remotely monitor his LAN network. Keywords: LAN, Server, Client.
STORM WATER MANAGEMENT BY NEW TECHNIQUES
Authors: Joshi Dhanashri
Published: May 2022

Abstract - Urbanization and climatic change have adverse effects on the changes of natural hydrological regime, which results in more frequent floods and landslides. Besides the increased quantity of the storm water that drainage channels have to store, negative consequences of urbanization are also evident through increased pollution of runoff stormwater. India has been witnessing devastating floods. Due to lack of drainage systems, the larger cities are more prone to frequent flooding. The drainage system and management should be adapted to these changes so that the adverse effects of hydrological conditions of runoff and storm water pollution in the urban and developing areas are mitigated. This project aims at presenting challenges and opportunities for the better storm water management practices in these areas.
A STUDY ON CRYPTOCURRENCY-IT IS THE TIME FOR BANKS SHOULD INVOLVE WITH CRYPTO ASSETS
Authors: Sharma Satya
Published: May 2022

“In today’s time internet is proved to be the hub for economic activities. It makes life of the human being easy and stress-free. Nowadays people are taking keen interest in trading of stocks and cryptocurrency, around 83% of Indians are aware of stock trading and 16% of them own it. In 2018 government motivated the public to get involve them self in stock & crypto trading but on other hand RBI banned banks to have anything with virtual currency. Meanwhile world took huge step in adoption of cryptocurrency and now it’s time for bank to get evolved itself with crypto assets as these assets removal of intermediaries, fees and other roadblocks to large transaction, creating a faster and less expensive global payment network. Crypto assets will give more exposure to financial system by providing an alternative to traditional assets and taking the financial access to wider range. It will provide the transparency throughout the asset lifecycle. To avoid any left behind bank should adopt cryptocurrency rather than treating it as an enemy.” Keywords: Cryptocurrency, Trading, financial system, Roadblocks, Lifecycle, Global payment network, Bank.
A Research on Handwritten Text Recognition
Authors: Bhardwaj Naman
Published: May 2022

Over the years we have started accumulating handwritten documents, like pdfs, doc files and numerous other formats for reading, writing and studying. Often we come across situations where we need to utilize the text of those documents. Manually transcribing large amounts of handwritten data is an arduous process that’s bound to be fraught with errors. Automated handwriting recognition can drastically cut down on the time required to transcribe large volumes of text, and also serve as a framework for developing future applications of machine learning. Recognition can be offline or online and both can be implemented in applications to progressively learn based on the user’s feedback while performing offline learning on data in parallel. Some recognition systems identify strokes, others apply recognition on a single character or entire words. Some steps involved in the area(in no particular order): Image preprocessing, Segmentation, Classification & Recognition, Feature Extraction. Finally, some limitations of the direction of current and future research are presented. Keywords: CNN, DTCN, TrOCR, DTCN, RNN
Experimental Setup for Gear Fault Diagnosis using Machine Learning
Authors: Salunkhe Samadhan M.
Published: May 2022

–There are various types of defects occur in the gear such as scoring, face wear, tooth breakage, pitting, root crack etc. Early detection of such defects is very crucial to prevent the system from sudden breakdown. Fault diagnosis is a process used for preventing breakdown. For such a fault diagnosis. we are analysing vibrations of gears. Scope of this work is to take the vibration signals for various faulty gears along with healthy gears. To classify the defects in spur gear first we need dataset for study. This paper provides the information of experimental setup to generate the dataset of vibration signals of faulty gears and healthy gear. In addition, this paper provides the details of fault generation in spur gear. Key Words: Spur Gear, Fault Diagnosis, Dataset, Vibration Signal, Tooth Breakage, Face Wear, Machine Learning.
Real-Time Credit Card Fraud Detection Using Machine Learning
Authors: Arri Harwant Singh
Published: May 2022

Credit card fraud occurs often and results in significant financial losses [1]. The number of online transactions has increased dramatically, and online shopping has become increasingly popular. Credit card transactions account for a significant portion of these transactions. As a result, banks and financial institutions provide services. credit card fraud detection software has a lot of utility. demand. Fraudulent transactions can take many forms. and can be classified into several types. The subject of this paper is four main fraud occasions in real-world transactions. Each a series of machine learning models are used to combat fraud. An evaluation is used to choose the optimal method. This assessment gives you a step-by-step approach to picking the right company. With regard to the type of frauds and the appropriate method with a suitable performance, we demonstrate the evaluation. Real-time credit card fraud detection is another important aspect of our project. As a result, we Consider the implementation of predictive analytics to determine if a machine learning model and an API module are appropriate. Is a specific transaction authentic or fraudulent? We also evaluate an innovative technique for dealing with the skewed data distribution. The information we used in our research came from a variety of sources according to an open source and community- maintained website. Keywords: Credit Card, Fraud Detection Software, Open Source, Realtime credit card fraud, Skewed Data Distribution
"Placemento by Acro" WEB APPLICATION FOR TRAINING AND PLACEMENT CELL
Authors: Ware Deepak
Published: May 2022

Training and Placement Cell is an important part of any educational institute, in which most of the work till now is being done manually. The training and placement officer has to inform around thousands of students about every single training and placement related activity. So to make the placement process easy and effective for the training and placement department as well as the students, an Web application can be developed. This application can help the placement officers to provide the details of upcoming companies. The students will be alerted via a notification. Once the recruitment process is completed, a list of placed students will be uploaded in the application by the administrator. It would be easy for the students to view the details of those who have been recruited. The number of students placed in a particular company can be viewed by students when required. If any changes is need to be made in the student details the student can make a request to the placement officer. This project will be helpful in faster management of the placement related activities in the college campus. Keywords: Web, Database server, Web server, Training and placement officer (TPO), Smartphone.
DUAL AXIS SOLAR PANEL USING ARDUINO
Authors: Gulhane Yash
Published: May 2022

Solar energy is a clean, easily accessible and abundantly available alternative energy source in nature. Getting solar energy from nature is very beneficial for power generation. Using fixed Photovoltaic panels extract maximum energy only during 12 noon to 2 PM in Nigeria which results in less energy efficiency. Therefore, the need to improve the energy efficiency of PV solar panel through building a solar tracking system cannot be over-emphasized. Photovoltaic panels must be perpendicular with the sun in order to get maximum energy. The methodology employed in this work includes the implementation of an Arduino based solar tracking system. Light Dependent Resistors (LDRs) are used to sense the intensity of sunlight and hence the PV solar panel is adjusted accordingly to track maximum energy. The mechanism uses servo motor to control the movement of the solar panel. The microcontroller is used to control the servo motor based on signals received from the LDRs. The result of this work has clearly shown that the tracking solar panel produces more energy compared to a fixed panel. Key Words: LDRs, PV panel, Solar Energy, Microcontroller, Arduino, and Servo.
THE STUDY ON WOMEN EMPLOYEES PREFERENCE TOWARDS IN UNORGANIZED SECTOR
Authors: Hemalatha Dr.T.M.
Published: May 2022

A big majority of India's labour pressure is in unorganized sector. In the absence of economic possibilities in their personal states, many employees migrate throughout the alternative states of India to are looking for employment. Construction enterprise depends nearly completely on migrant employees, majority of that are women. The major object of this paper is to shed light at the socio‐economic issues being faced by a section of the women employees in production enterprise. These women employees have a completely difficult life. In spite of being actively involved in economic activities for survival, bearing and rearing of kids stay their top responsibility, and hence they grow to be with gambling roles in each production and reproduction. KEYWORDS: Unorganized, Employees, Responsibility, Women Workers.
Real Time Face Mask Detection and Email Alert
Authors: Shukla Dr.Dolly
Published: May 2022

“Coronaviruses, a large family of distinct viruses, have recently become exceedingly prevalent, communicable, and harmful to the whole human race. It transmits from person to person by exhaling infected breath, which deposits virus droplets on various surfaces, which are subsequently breathed by another person, who contracts the illness. As a result, it is critical that we safeguard ourselves and others around us from this predicament. We may take safeguards like as keeping social distance, washing hands every two hours, using sanitizer, and, most importantly, wearing a mask. Wearing a mask in public has grown quite widespread in recent years all around the world. Due of its high population in a short space, India is the most afflicted and terrible situation. This study presents a technique for detecting whether or not a face mask is used in offices or any other workplace with a large number of individuals. For this, we employed a convolutional neural network. The model was trained on a real-world dataset and successfully tested using live video streaming. The model's accuracy is further tested using several hyper parameters and many persons at various distances and locations inside the picture”. Keywords— Face Mask Detection, Convolutional NeuralNetwork, MobileNetV2, Corona virus Precaution.
An Exploratory Study on Wine Tourism in India with Special Reference to Nashik, Maharashtra
Authors: Goyal Khushant
Published: May 2022

Wine tourism in Maharashtra is steadily growing as a result of many initiatives by wine tourism service providers. Wine tourism in India is growing as a sort of special interest tourism, although being in its infancy compared to its overseas equivalents. Wine tourism began in Maharashtra as a niche form of tourism, with various wineries in Nashik and Pune giving wine tours within their vineyards and wineries. The article includes a brief review of wine tourism as well as an overview of the Indian wine industry, with a focus on the Nashik region of Maharashtra. The study concludes with recommendations for how to create and grow wine tourism circuits in Maharashtra's wine regions. This report also aims to serve as a foundation for future research on wine tourism management in Maharashtra. The goal of this research is to improve the social and economic conditions in the Nasik district. Wine tourists are discreetly more important than other tourists in the Nasik area. This tourism activity grew substantially day by day. This will result in the Nasik district's economic development. Keywords: Wine Tourism in Nashik, Wine Making Process, India’s Napa Valley, Vineyards and Wineries.
Crime Reporting and Management System
Authors: Pathak Prof. Ganesh
Published: May 2022

The goal of the Online Crime Report & Management app is to provide a convenient and secure way for people to submit their complaints to the police. This app can be used by people who are afraid to approach the police station for their complaints. Once a user has registered in the application, he/she can post their complaints. The administrator will then try to resolve the issue and send the appropriate response. KEYWORDS Crime Report, Complaint Registration, Administrator, Local Police Stations, Victims, Criminals.