Miracle-dz/UniFAR-FTUs huggingface dataset:
Partial Replacement Of Cement With Different Additives In Concrete

1M.E. Civil Structure, Sr. Engineer, Parin Construction, Pune, Maharashtra, India. 2Associate Professor, Dr. V. V. P. College of Engineering, Ahmednagar, Maharashtra, India ----------------------------------------------------------------------------***---------------------------------------------------------------------------Abstract Due to development in construction industries demand & need for cement is increasing day by day, which is main cause of pollution. In the manufacturing process of cement, emission of CO2 is more but also consumes significant amount of natural resource. Main problem is disposal of waste material as well as industrial by-product like from thermal power plant. As a matter of fact the current tendency in the world is to find new materials at lower cost which can guarantee better performances during their incorporations in the concrete. This study consist the development and properties of concrete by partial replacement of additives, Carbon Black Powder & Calcium Sulphate, Rice Ash Husk with Cement. An attempt was made using these materials, as filler, desiccant and which imparts the enhanced properties of concrete by partial replacement of cement with different percentage ratio. Concrete cubes and cylinders are cast depending on percentage ratio and it’s effect is studied at different ages by performing tests on concrete specimens. A comparison is made with test results to conventional concrete only to arrive at valid conclusion.
An Enhanced Framework for Performance Optimization of Apache Hadoop

— Hadoop is a well-known implementation of the MapReduce framework for running data-transformation jobs on clusters of commodity servers. In hadoop data transformations jobs are executing in parallel using multiple map and reduce tasks. The main objective of the proposed system is to propose a design improvement in shuffling mechanism used in reduce tasks, so that it will improve the performance of map-reduce jobs significantly in hadoop cluster. There is delay in job completion to the combining of the shuffle phase and reduce tasks, because of this the parallelism between multiple waves of map and reduce unused, fails to address data distribution skew among reduce tasks, and makes task scheduling inefficient. In this work, I propose to differentiate shuffle from reduce tasks and convert it into a platform service provided by Hadoop. The scope of this document is to focuses on the improve performance of shuffle service, which submits map output to respective nodes via a novel shuffle on write operation and schedule tasks considering workload balance. This paper describes benchmarks reviews performance considerations and with a Hadoop analytics cluster
Robust Nonlinear Geometric

An Autopilot submarines is an Unmanned Underwater Vehicles(UUVs) that can perform controlled maneuvers and trajectory tracking dictated either by a pilot on ground or as a part of a preprogrammed mission. The extreme environment conditions of underwater and the resulting significant variation in the system parameters engenders a challenging control problems for these submarines. This paper presents the formulation and implementation of a robust nonlinear geometric yaw tracker for an autopilot submarine. The UUV carries its onboard Micro Elector-Mechanical Systems (MEMS) based Inertial Measurement Unit (IMU) with data fusion algorithm. The yaw command reference tracking simulation is performed. The system performance is investigated under disturbances. Based on the simulation and the experimental results, this nonlinear geometric tracking approach proves to be a novel and effective technique for UUV Yaw control, disturbance rejection and robustness against parameter variations. Keywords—robust nonlinear control; geometric control submarine; autopilot
An Effective Aircraft Recognition System for High Resolution Optical Satellite Sensing Images Using Bayesian Pursuit Algorithm

- This project describes about the aircraft recognition using Bayesian Pursuit algorithm. This method does not recover the entire shape of aircraft as a precondition before recognition. The direction estimation method is proposed first to align aircraft to a same direction. To estimate the direction angle and magnitudes are determined. After that, the neighbor based images and classification images are calculated using iteration process. Then, a reconstruction based similarity measure is proposed, which transform the type recognition problem into a reconstruction problem. The features matching are done using FAST feature method. Finally, get the aircraft recognized image. The performance of BPA is compared using the parameters such as peak signal to noise ratio and mean square error. The performance of Bayesian Pursuit algorithm is analyzed with the existing method.
Assessment of Informational and Instrumental Support In Hemodialysis Patients In The Hospitals of Zanjan University of Medical Sciences, 2011

Background and Objectives: Chronic Renal Failure (CRF) influence patients’ lifestyles, health statuses, and role functions, and lead to physical and psychosocial problems. Social support is an important copping mechanism by which quality of life and health status of patients improve. The aim of this study was to determine informational and instrumental support in hemodialysis patients in hospitals of Zanjan University of Medical Sciences, 2010. Material and Methods: In this cross-sectional study, 84 patients with CRF who were referred to the hemodialysis centers of Zanjan were recruited to the study. The participants answered to the two sets of questionnaires: 1) demographic items; 2) standard instrument of social support. The data were analyzed using descriptive statistics in the SPSS-16 . Results: The study showed that 20.3% and 29.7% of participants had optimal informational and instrumental support, respectively. Conclusion: More than two third of the patients did not have optimal social support. Regarding positive relationships between social support, quality of life and survival rate in hemodialysis patient, it is suggested that health care policymakers and managers consider the instrumental and informational support in order to improve quality of life in hemodialysis patient.
Attack Identification in a Cryptographic System using Dynamic Taint Propagation

—Data is the critical resource of any organization. Cryptographic system protects the confidential data from intruders or attackers. Attackers make use of design flaws in existing algorithms to launch cryptographic attacks. Cryptography covers the areas like encryption, decryption and hashing for secure data transmission. In the proposed system, privacy sensitive information is tracked with the help of dynamic taint propagation. Active or passive attacks can be identified with the help of the taint propagation inspite of the existing cryptographic operations. Identification of the attacking node among the multiple nodes is made possible by making use of dynamic taint tracking. In a multimode system, attack intimation is given to the sender and receiver nodes when attack occurs at any of the intermediate nodes. Key matching at receiver node fails when an active attack occurs and results in avalanche effect. The proposed system identifies the attacker in a cryptographic system with the help of dynamic taint propagation.
Eye - A Tool For Computer Manipulation

-The system is a human computer interface for mouse operations using face. System serves as an intermediate block between the users and computer. It will capture the desired feature with a webcam and monitor its action in order to translate it to some events that communicate with the computer. While different devices were used in HCI (e.g. infrared cameras, sensors, Microphones). There are various techniques to implement a system that track the human eyes. In this paper we provide a new way to implement gaze estimation on the basis of Eye touch system. The least-square-algorithm is used to determine the gaze direction. The system also use a effective pattern classification algorithm to perform different operations of mouse such as left , right and double click operations with high accuracy. To avoid a accuracy problem we use hardware like Eye touch Goggles and micro controller based data acquisition system. This proposed system is providing a promising interface between computer and human.
Lipid Profile in Obese Libyans

Background: obesity is an increasingly prevalent metabolic disorder affecting developed and developing world as well. This study was aimed to examine the relationship between obesity and lipid profiles and to compare them with those with normal body weight. Methods: 52 adult Libyans (42 obese and 10 control) were recruited with age ranging from 30-50 years. Body mass index (BMI) was calculated using the formula: Weight (kg)/Height (m)2. Blood samples were withdrawn for analysis of total Cholesterol, Triglycerides(TG), High-density lipoprotein(HDL), Low-density lipoprotein(LDL), FBS, HbA1c, Urea, Creatinine, TSH, and liver enzymes. Lipid profile values in obese subjects(BMI ˃ 30) were compared with those with normal body weight(BMI ˂ 25). Results: The obese group had higher total cholesterol Tc, triglycerides TG, and low density lipoproteins LDL with the significant differences (P ˂ 0.05) when compared to normal body weight group, where's high density lipoproteins HDL-c was significantly lower in obese subjects. Conclusion: Our study showed a significant association between obesity and dyslipidemia. With several complications associated obesity, in particular the lipid abnormalities which are a leading cause of morbidity, and mortality, it is of importance, that the prevalence of obesity should be reduced. [Ali A. Fadella and Ibrahim A. Boufaris. Lipid Profile in Obese Libyans. J Am Sci 2014;10(5):179-181]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 23
Cloud Based Automation For Smart Cities

This project proposes to manage the city‟s aspect by building smart homes, smart parking centres, smart water monitoring systems, smart environment monitoring system, smart waste management system. This paper focuses on creating a structure for the realization of smart cities through the Internet of Things (IoT). This project uses Raspberry Pi to control and manage various sensor data and sends the data to the server. The project emphases on connecting people, process, data, and things to improve the „Liveability‟ of cities and communities through internet. A Smart city monitors and integrates conditions of all of its critical infrastructures, including roads, bridges, tunnels, rails, subways, airports, seaports, communications, water, power, even major buildings, can better optimize its resources, plan its preventive maintenance activities, and monitor security aspects while maximizing services to its citizens.
EXTRACTION OF TEXT FROM VIDEO CLIPS

- Text in video is very compact and accurate clue for video indexing and summarization. In this paper, an algorithm is designed that the new Fourier-Statistical Features (FSF) in RGB space for detecting text in video frames of unconstrained background, different fonts, different scripts and different font sizes. This work consists of two parts namely automatic classification of text frames from a large database of text and non-text frames and FSF in RGB for text detection in the classified text frames. For text frame classification, presents novel features based on three visual cues; Max-Min method and sharpness in filter-edge maps to identify a true text frame. For text detection in video frames, presents the new Fourier transform based features in RGB space with statistical features and the computed FSF features from RGB bands are subject to Fuzzy C-means clustering to classify text pixels from the background of the frame. Text blocks of the classified text pixels are determined by analyzing the projection profiles and extract the text part from the video frame.
Atypical Erb’s Palsy Presentation in a Premature Newborn: A Case Report

Objectives: The aim of this study is two-fold: to present an atypical Erb’s palsy presentation in a premature newborn and to report his recovery through conservative care after three months without spontaneous resolution. Case presentation: A 3-month-old male presented at the clinic with right side Erb’s palsy following a cesarean delivery at 33 weeks of gestation from a mother with a bicornuate uterus. The mother and the baby had no other risk factors commonly associated with this condition. Intervention and outcome: Treatment consisting of light mobilization and soft tissue techniques was performed twice a week for 9 weeks for a total of 18 visits along with postural advice. After 18 visits, there was no mobility restriction of the neck, and bilateral abduction and flexion of arms was possible. Biceps and grabbing reflexes were improved. The baby was able to lie in the prone position with the head upright and arms at 90° flexion. Conclusion: We are reporting a rare case of Erb’s palsy in a premature baby, which is not documented in the scientific literature as a common risk factor. Before surgery is considered, chiropractic care should be considered as a conservative and non-invasive approach for clinical management of Erb’s palsy in cases without spontaneous recovery. *Corresponding author: Mendoza L, Chiropractic Department, University of Quebec at Trois-Rivieres, Canada, Tel:+ 8192692249; E-mail: lauramendozadc@gmail.com Received June 26, 2019; Accepted August 08, 2019; Published August 15, 2019 Citation: Mendoza L (2019) Atypical Erb’s Palsy Presentation in a Premature Newborn: A Case Report. J Clin Case Rep 9: 1267. Copyright: © 2019 Mendoza L. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Primary Prevention of Rheumatic Fever in India: The Reality

About 100 years back Rheumatic fever (RF) and rheumatic heart disease (RHD) were believed to be diseases of “temperate climate”, and with improved hygiene there has been a dramatic decrease in incidence of the disease in developed nations. But still it continues to be a major health problem in most developing countries. There are 2.4 million affected children between five and fourteen years of age in developing countries [1]. Addition of subclinical carditis by echocardiographic criteria increases the prevalence of the disease 10 to 20 times because of detection of clinically “silent” RHD in the same age group [2]. Up to 1% of school children in Africa, Asia, the Eastern Mediterranean region and Latin America show signs of RHD [3]. However concern is that there has been a resurgence of the disease in the developed countries as well. The last epidemic of RF in Utah area in USA occurred in well to do middle class families in absence of overcrowding and with access to good medical care [4]. In Russia, also there had been a dramatic increase in new cases of RHD in the last decade of 20th century [5]. Aboriginal people in the Kimberley region of north-west Western Australia suffer from unacceptably high rates of acute rheumatic fever (ARF) and rheumatic heart disease (RHD), with an estimated prevalence of at least 1.3% [6].
EFFECT OF FOUR HERBICIDES ON SOIL ORGANIC CARBON, MICROBIAL BIOMASS-C, ENZYME ACTIVITY AND MICROBIAL POPULATIONS IN AGRICULTURAL SOIL

Herbicides are biologically active compounds, and an unintended consequence of its application may lead to significant changes in microbial populations and activities influencing microbial ecological balance affecting soil fertility. The fate of herbicides applied in agricultural ecosystems is governed by the transfer and degradation processes, and their interaction with soil microorganisms. The increasing reliance of sustainable agriculture on herbicides has led to concern about their ecotoxicological effects influencing microbial populations and enzyme activities, which may serve as indicators of soil quality. The effects of herbicides (butachlor, pyrozosulfuran, paraquat and glyphosate) on soil organic carbon, microbial biomass-C, enzyme activities (amylase, invertase, protease, urease and dehydrogenase) were assessed over a period of four weeks. There was significant reduction in organic carbon with time. Herbicides treatment resulted an initial increase upto 14 th day followed by a significant drop in microbial biomass-C. Herbicide treatments resulted variation in enzyme activities, while highest activity was recorded for control soil. The gradual increase in microbial counts may be attributed to their ability to temporarily mineralize and use herbicides as energy source. The study suggested that the herbicides cause transient impact on microbial populations and enzyme activities associated with the type of herbicides at recommended field application rate. © 2013 Universal Research Publications. All rights reserved
The Research of M&A Performance of Private Listing Corporation Based on Different M&A Incentives

The paper researches the influence on M&A performance from the perspective of the motive of enterprises mergers and acquisitions. The return on assets was selected to be the indicator to measure enterprises’ performance after mergers and acquisitions, and it functioned as the dependent variable. The paper choose the representative company's agent motivation and the motivation of the equity concentration, the ratio of stated-owned shares, the ratio of managerial ownership, the ratio of circulation shares, Tobin’s Q value and return on equity as independent variables to build the model, and analyzes its impact. The empirical results shows: the ownership concentration and the ratio of the top executives have a positive correlation with the performance of the enterprises, but not significant; The ratio of state-owned shares and the ratio of circulation shares have a negative correlation with the performance of M&A; Tobin’s Q value and return on equity have a significant positive correlation with the performance of the enterprises after M&A. The research indicates: the M&A behavior based on different motivations positively has impact on the performance of enterprises after M&A. The research and analysis of the M&A motive is beneficial to better regulate and supervise the M&A behavior and promote the development of enterprises.
Recognition of Persian Handwritten Numbers using LBP-HOG Descriptor

Recognition of handwritten numbers in any language is one of the most important issues attracted many researchers and this is because of the increasing importance of the issue in today's world and in applications such as automatic detection of mail addresses or identification of numbers of bank checks. Given the great interclass diversities and much extra-class similarities between some Persian handwritten numbers, solving the Persian handwritten numbers recognition problem is difficult. In this paper, a new method for recognizing Persian handwritten numbers using a combination of HOG and LBP descriptors is provided. The proposed descriptor enjoys significant advantages of which the important one is the recording of information and features relating to the image (by descriptor LBP)and yet the feature extraction of the image edges (by descriptor HOG). Another advantage of the proposed descriptor is the very small length of the feature vector and the fast calculations. To evaluate the effectiveness of the proposed method the standard data base HODA, a large database of 60,000 images, were used . Experiments carried out on the database show the high effectiveness of the proposed method (with an accuracy of 99.3%) in comparison with other similar methods.
CODE CLONE DETECTION: A REVIEW AND COMPARATIVE ANALYSIS

Copying, modification of a code block is recognized as cloning is the general mean of software usage. It is mostly utilized in the community of software development. The main objective of code clone detection is the identification of code clone with the replacement with a unique function that mimics the single instance behaviour from the clone set. In the last decade, the detection of code duplication is resulted into different tool that finds the duplication of code blocks. This paper discusses the varied methods of code clone detection with tools and the techniques. The process of clone detection with the removal is also discussed .
Breast Tumor Shape and Size Analysis for Growth Estimation Using Mammography

38 Breast Tumor Shape and Size Analysis for Growth Estimation Using Mammography Sonali Bhadoria, C.G. Dethe, Shrikanta Patra, Ashutosh Chaubey sonali_nakade@yahoo.com, cgdethe@yahoo.com Abstract: Analysis of tumor size is very important input for the doctors in deciding the stage of the cancer and surgical approach. This affects treatment decisions, and hence plays a significant role. This paper proposes the effective methodology for analysis of shape and size of the tumors present in the breast using mammograms. It is a powerful tools to assist the doctors in the treatment related to breast cancer. General Terms: Mammogram, Thresholding; Area
Quiz in MOOC: An Overview

- Quiz is a one of the primary elements of Massive Open Online Course (MOOC) used for evaluating the knowledge of the learner. A quiz provides feedback as correct/incorrect response or grades that help the learner in designing their own learning paths. In this paper, an overview of the MOOC quiz is provided by covering various aspects of quiz including the users of quiz and types of quiz, basis for selection of quiz type, and different assessment methods used in MOOC. Also, there are several tools and service that helps in offering quiz in MOOC. Here, some of the most common tools and services are explained with the suggestions for future direction in improving the quiz services in MOOC.
COMPARATIVE PHYTOCHEMICAL ANALYSIS OF DIFFERENT PARTS OF STHIRAA- Desmodium gangeticum (L.) DC

Desmodium gangeticum (L.) DC. (Family: Fabaceae) commonly known as Sthiraa in Sanskrit, is an important medicinal plants of Ayurveda. Root of this plant is one of the main ingredients of many Ayurvedic formulations used in various disorders mentioned in classical texts. The widespread uses of this important medicinal plant by different pharmaceutical industries along with the current appraisal of attention in herbal medicine have led to an ever-increasing demand for this species. Because of this reason, to face the huge demand, the market samples of this plant contain whole plant instead of root alone. Presently the various pharmaceutical companies use the whole plant instead of root. Hence this becomes a contradictory issue to what Acharyas have advised. The situation become even more adverse as there is no detailed comparative data available on different useful parts. On this background present study was undertaken to compare the phytoconstituents of root, shoot and whole plant of Sthiraa through HPTLC analysis. Study showed the root sample contains more number of phytoconstituents which supports the scientific logic of ancient Acharyas for advising the root as useful part of Sthiraa. Other two samples shoot and whole plant part contains equal quantity of phytoconstituents. Study suggests for further analysis on utilising the shoot part instead of uprooting whole plant which may prevent the complete destruction of this important plant. World Journal of Pharmaceutical Research SJIF Impact Factor 5.990 Volume 4, Issue 8, 1821-1828. Research Article ISSN 2277– 7105 Article Received on 07 June 2015, Revised on 28 June 2015, Accepted on 19 July 2015