Miracle-dz/UniFAR-FTUs huggingface dataset:
ANTIBIOTIC RESISTANCE OF CITROBACTER SPP. ISOLATED FROM LAKES OF UDAIPUR, INDIA

Citrobacter is an opportunistic pathogen that can cause diarrhea, urinary tract infection, respiratory tract infection and acute meningitis. In health care settings Citrobacter species have become an increasing cause of concern as they are multi drug resistant (MDR) and associated with high mortality between 30-60%. In the present study an attempt has been made to isolate Citrobacter spp. from lakes of Udaipur namely Fateh sagar and Pichhola and to test their antibiotic resistance against 15 commonly used antibiotics i.e. gentamycin, kanamycin, tetracycline, erythromycin, ampicillin, penicillin, polymyxin B, amikacin, ciprofloxacin, vancomycin, rifampicin, chloremphenicol, streptomycin, cefixime, trimethoprim by disc diffusion method. A total of 12 strains were isolated, tentatively identified and grouped into 2 species as Citrobacter freundii and Citrobacter braakii according to their biochemical characteristics. Genomic DNA of these isolates was extracted and amplified with universal primers 27 F and 1492 R. The amplified products were subjected to sequencing to confirm their identification. All the strains which were identified as Citrobacter freundii were found resistant to 7 antibiotics namely ampicillin, penicillin, vancomycin, kanamycin, polymyxin B, rifampicin, and streptomycin. All the strains which were identified as Citrobacter braakii were found resistant to 8 antibiotics namely ampicillin, penicillin, vancomycin, kanamycin, polymyxin B, rifampicin, erythromycin and streptomycin, out of 15 antibiotics used in the study. The results indicated that the water of both the lakes was contaminated with multiantibiotic resistant enteric pathogenic bacteria. This study thus provides valuable information World Journal of Pharmaceutical Research SJIF Impact Factor 8.074 Volume 7, Issue 5, 1355-1364. Research Article ISSN 2277– 7105 Article Received on 13 January 2018, Revised on 02 Feb. 2018, Accepted on 23 Feb. 2018, DOI: 10.20959/wjpr20185-11334 *Corresponding Author
Analysis of the Relationship between Managers’ Compensation and Earnings in Companies Listed in the Tehran Stock Exchange. J. Educ. Manage. Stud., 3(4):455-464.;

The objective of the present study is to study the relationship between managers’ compensation and earnings in companies. It is a causal-analytic library survey which is based on the analysis of panel data. In this research the financial information on 112 companies listed in the Tehran Stock Exchange from 2006 to 2010 is analyzed. It shall be mentioned that 560 companies were listed in the Tehran Stock Exchange each year. The SPSS 20, EVIEWS 7 and MINITAB 16 software were used for analyzing the research results. Results of the study of the research hypothesis indicated that there is a significant direct relationship between managers’ compensation and earnings.
A Novel Fingerprint Compression Method Based On Sparse Representation

: Recognition of people by means of their biometric features is very popular among the society. There are a variety of biometric techniques including fingerprint recognition, face recognition and eye detection that are used for the privacy and safety purposes in different applications. In current years there has been an increasing interest in the learning of sparse representation of signals. Using an over completeglossary that contains prototype signal-atoms, signals are illustrated by sparse linear combinations of these atoms. Among several biometric recognition technologies, fingerprint compression is very popular for personal identification. One more fingerprint compression algorithm based on sparse representation is introduced. In the algorithm, first we construct a dictionary for predefined fingerprint photocopy patches. For a new given fingerprint images, suggest its patches according to the dictionary by computing l 0 -minimization by MP method and then quantize and encode the representation. This paper compares dissimilar compression standards like JPEG, JPEG-2000, WSQ, K-SVDetc.The experiments demonstrate that this is often cost-effective compared with many competitive compression techniques particularly at high compression ratios.
High performance liquid chromatographic and ultra violet spectroscopic determination of mesalamine in pharmaceutical formulations

Mesalamine, 5-Amino-2-hydroxybenzene-1 carboxylic acid, is used, either orally or rectally, as an antiinflammatory agent in treating ulcerative colitis[1] and, to a lesser extent, Crohns disease[2]. Mesalamine is a white to pinkish crystaline powder. The antiinflammatory actions of mesalamine are believed to be secondary to, at least in part, the inhibition of arachidonic acid in the bowel mucosa by the enzyme cyclooxygenase[3]. Inhibition of cyclooxygenase effectively diminishes the production prostaglandins, thereby reducing colonic inflammation[4]. Mesalamine also interferes with leukotriene synthesis, possibly by inhibiting the Sunil Majji*, K.Srinivasa Rao, M.E. B.Rao Roland Institute of Pharmaceutical Sciences, Berhampur-760010, Orissa, (INDIA) Ph: +919937507497 E-mail: suneel.majji@gmail.com Received: 24 May, 2008 ; Accepted: 29 May, 2008
CONTROL OF ROBOTIC ARM USING MACHINE VISION

Every invention has a aim to reduce humans effort and make it easy for his life.In this regard this paper is focused on easy control of robotic arm using simple hand movements. The movement control can be used for heavier machinery like JCB earth movers which can also be used in delicate environment like saving lives in earth quake demolished sites. Image processing techniques is involved in realizing the hand movement, MATLAB is utilized to complete image processing part , To implement the approach on a real-time application, a Personal Computer interface was designed to control the movements of a four degree of freedom robot arm by transmitting the orders via radio frequency circuits.
Superficial Vein Thrombosis and Thromboembolic Events in a Patient Cohort undergoing Small Saphenous Vein Surgery

Superficial vein thrombosis of the Great Saphenous Vein (GSV) is clearly better documented in the literature than superficial vein thrombosis of the Small Saphenous Vein (SSV). The incidence of Deep Venous Thrombosis (DVT) in association with superficial vein thrombosis of the lower limbs has been described to be up to 65% [1-6]. The highest value comes from a study on superficial vein thrombosis of the small saphenous vein [2].
Three-Phase Renewable Energy Inverter: Control, Real-Time Simulation and Experimental Results

This research presents a technique of converting the Direct Current (DC) to an Alternating Current (AC) for the Photovoltaic (PV) system through a designed three-phase inverter tied to the grid. As it’s known, the inverter is characterized as an independent and high-quality device in addition to, considered the backbone of the Renewable Energy Sources (RESs). Therefore, this research presents a control strategy of active and reactive power using three-phase inverters which are connected to the grid. The presented control strategy is implemented by using dSPACE MicroLabBox (1202). Moreover, the laboratory results are recorded using MATLAB/Simulink Software. During the last decades, the sun has become the best ever source for generating energy as it considers a clean, renewable and environmentally friendly source, instead of depending on fossil fuel. Hence, solar energy has become the ideal searching field to sought after by scientists. This study has presented a fulfill experimental behavior for the proposed controller including curves, simulation results and conclusions according to the obtained outcomes, also all the effort accomplished in this study to achieve the basic motivation for this study which is designing a three-phase inverter characterized as complete reliability to control the active and reactive power easily, also it can Independently inject the active and reactive power into grid without exciting for any distortion in the wave forms . The presented control strategy for the active and reactive power is executed by using indirect power control. Where the function of the Proportional-Integral (PI) controller includes the control of error signal which is the difference between the measured current and the feeder current in order to reduce the error signal up to zero.
Formative Assessment with Evaluation & Scoring Tool - A-TEST

: In large classrooms with limited teacher time, there is a need for automatic evaluation of text answers and for real-time, personalized feedback as students learn. Most automatic essay scoring systems focus on providing scores that are comparable to human scores. While this helps save time in large scale or ongoing assessments, it does not provide real time help to learners. Moreover, training the system generally requires the help of experts in machine learning and NLP. We discuss the design of A-TEST, a text evaluation and scoring tool that can learn text answers and the scoring methodology from manually scored answers and also directly from teacher input using LSA, NLP and SVD techniques. In addition, A-TEST provides the necessary information to our web tutoring system thus enabling it to provide real-time feedback during the formative assessment process.
Spread Spectrum Image Steganography in Multimedia Messaging Service of Mobile Phones

: Mobile phones are the most commonly used devices in today’s scenario. The expanding use of mobile phones, telecommunication companies added feature such as MMS (Multimedia Messaging Service) in order to attract more customers. The Multimedia Messaging Service (MMS) has became very popular for sending messages containing multimedia objects such as images, audio, or video clips among mobile users. Alongside, the need for the secure communication became more imperative. Steganography is the most reliable technique for hidden communication. Hiding information, especially in images has been an alternative solution for secret communication. In this paper three steganographic approaches within a MMS are presented and discussed. There applications in mobile environment are analyzed. The platform used here is MATLAB.
The detection of Extended Spectrum Beta-Lactamases (ESBLs) producing Escherichia coli isolated from clinical samples

Urinary tract infections (UTIs) are a stern public health problem and are caused by a wide range of pathogens, but most frequently by Escherichia coli, Klebsiella pneumoniae, Proteus mirabilis, Enterococcus faecalis and Staphylococcus saprophyticus. High frequency rates and increasing antimicrobial resistance among uropathogens threaten to greatly raise the economic load of these infections. Few E.coli organisms are able to produce an enzyme called extended spectrum beta-lactamases (ESBLs) that cause high resistance to all beta-lactam antibiotics with the exception of carbapenems or cephamycins but inhibited by beta-lactam in combination with inhibitors like clavulanic acid, sulbactam and tazobactam. This study was to determine the prevalence of ESBLs. Isolation and identification of ESBLs producing E.coli isolation and its confirmation via different confirmative tests. The study included total of 150 clinical specimens of urine and pus. E.coli isolates were screened positive was study for ESBL detection by DDST and DDDT method. The ESBL percentage was more in female urine samples.
International Journal of Advance Research in Computer Science and Management Studies

Expression detection is useful as a non-invasive method of lie detection and behavior prediction. These facial expressions may be difficult to detect to the untrained eye. This paper implements facial expression recognition techniques using Principal Component analysis (PCA) with Singular Value Decomposition (SVD). Experiments are performed using Real database images. The universally accepted five principal emotions to be recognized are: Angry, Happy, Sad, Disgust and Surprise along with neutral. Euclidean distance based matching Classifier is used for finding the closest match.
Image Retrieval: K-Means and Contribution Based Clustering

Contribution based clustering algorithm used to retrieve image from large scale image database by measuring common visual features of the images. The resemblance between images is measured by measuring similarity within extracted features. Statistical feature extraction technique is used for the texture feature extraction. Clustering is an unendorsed classification method which place the similar object in a cluster and dissimilar objects are place in different clusters. Contribution based clustering algorithm is partition based clustering algorithm which gives the better results than that of k-mean clustering algorithm. In this paper, contribution based clustering approach for minimum distance findings among images are used. The results of experimental study of proposed algorithm are shown with analysis of resultant image features. The images are retrieved based on selection of images with maximum similarity features.
Studies on the Effect of Red, Blue and White LED

Developments in industrialization have led to the increase pollution mainly caused due to the disposal of liquid and solid wastes in to the environment. Dairy, Tannery, Textile, Pharmaceuticals and Paper industries produce goods necessary for the sustenance of life and are the primary sources of pollution. Due to ever increasing population and urbanization problems associated with pollutants are likely to increase [1]. Water pollution has significantly affected the highly populated countries and people living in these countries have been suffering from serious health ailments [2]. Pollution control has been one of the important areas requiring immediate focus and intervention through scientific research. It is of common interest to find out suitable remedies for treating wastewater and to have sustainable development [2,3]. Main causes for surface and groundwater contamination are the industrial discharges [4]. These effluents typically contain high concentrations of organic and inorganic chemicals such as hydrocarbon solvents, heavy metals, pesticides, dyes and so on. The control of organic pollutants in wastewater is a very important measure in environmental protection [5]. Dye industry tops the charts by releasing 2-20% of its effluents in environmental components. Synthetic dye usage has increased in the textile and dyeing industries because of their ease and cost-effectiveness in synthesis, firmness, high stability to light, temperature and microbial attack. 10-25% of the total world production of dyes is lost during dyeing process and is released in the form of textile effluents [4,5]. The most common textile processing unit consists of desizing, scouring, bleaching, mercerizing and dying process from which effluent waste is discharged [5]. This results in the increase of BOD, COD, TSS and alteration of pH. The textile industry consumes large amounts of potable and industrial water as processing water (90-94%) and relatively low percentage as cooling water (6-10%) [1]. Therefore, treatment of these industrial effluents is necessary prior to their final discharge to the environment. The textile manufacturing process is characterized by the high consumption of resources like water, fuel and a variety of chemicals in a long process sequence that generates a significant amount of waste [6]. The common practices of low process efficiency result in substantial wastage of resources and a severe damage to the
Multi owner Secure Data Storage and Sharing in Cloud Computing

— In cloud, there is an imperative efficacy called Data sharing. Data sharing is additionally worried about the security, effectiveness and adaptability for the data to partake in the cloud storage. The limit of specifically sharing encoded data with various clients by means of open cloud server may extraordinary straightforwardness security worried over scatterbrained data spills in the cloud. The key testing of structuring encryption plot is lies between the proficient administrations of encryption keys. Here location the reasonable issue which is to a great extent ignored in the writing. By proposing the novel idea of Key-total accessible encryption and furthermore instantiating the idea through strengthen KASE scheme where the data proprietor need to disperse a solitary key to data client for sharing huge number of reports, and the client just needs to present a solitary trapdoor to cloud for questioning the common archives. Another open key cryptosystem is acquainted with deliver a consistent size figure content called KASE. In light of the content approach as a key the key is utilized to share the data securely. When the sharing is finished the key total contrasts from key total cryptosystem and this procedure gives effective arrangement than the current framework.
Concept Relation Logic for Visualizing File Behavior in a Knowledge Representation Model

: Malware attack is a major problem in cyber security. Malware attack causes problems like slowing down the computer, system crash, continuous display of error messages, shutting down or restarting certain activities, gather personal information or data from the system, redirect the browser, infect the system, spend spam mail and can even be invisible. The badly affected sectors due to cybercrime are movie & video production, commercial banking, health & medical insurance and warehouse clubs & supercentres. The file behavior monitoring method is used to detect the early access stage of malware attack. In this paper, using the Concept Relation Knowledge Representation (CRKR) framework model the file behavior is represented and visualized for monitoring the nature of the file. The aim of this work is to provide effectiveness among complex multiple featured files with uncertain and insufficient data. In this knowledge representation model the proposed Concept Relation Logic enables the features to be correctly placed in the visualization graph which helps in efficiently identifying the malware affected file.
Comparison of Methods for Estimating the Proportion of Null HypothesesÃÂ0 in High Dimensional Data When the Test Statistics is Continuous

Advances in Genomics have re-energized interest in multiple hypothesis testing procedures but have simultaneously created new methodological and computational challenges. In Genomics for instance, it is now commonplace for experiments to measure expression levels in thousands of genes creating large multiplicity problems when thousands of hypotheses are to be tested simultaneously. Within this context we seek to identify differentially expressed genes, that is, genes whose expression levels are associated with a particular response or covariate of interest. The False Discovery Rate (FDR) is the preferred measure since the Family Wise Error Rates (FWERs) are usually overly restrictive. In the FDR methods, estimation of the proportion of null hypotheses (π0) is an important parameter that needs to be estimated. In this paper, we compare the effectiveness of 12 methods for estimating π0 when the test statistics are continuous using simulated data with independent, weak dependence, and moderate dependence structures.
Detecting Hidden Attacks in Apps through the Mobile App-Web Interface

-------------------------------------------------------------------- ABSTRACT -------------------------------------------------------------- Mobile users are increasingly becoming targets of malware infections and scams. Some platforms, such as Android, are more open than others and are therefore easier to exploit than other platforms. In order to curb such attacks it is important to know how these attacks originate. We take a previously unexplored step in this direction and look for the answer at the interface between mobile apps and the Web. Numerous in-app advertisements work at this interface: when the user taps on an advertisement, she is led to a web page which may further redirect until the user reaches the final destination. Similarly, applications also embed web links that again lead to the outside Web. Even though the original application may not be malicious, the Web destinations that the user visits could play an important role in propagating attacks. In order to study such attacks we develop a systematic methodology consisting of three components related to triggering web links and advertisements, detecting malware and scam campaigns, and determining the provenance of such campaigns reaching the user. We have realized this methodology through various techniques and contributions and have developed a robust, integrated system capable of running continuously without human intervention. We deployed this system for a two-month period and analyzed over 600,000 applications in the United States and in China while triggering a total of about 1.5 million links in applications to the Web. We gain a general understanding of attacks through the app-web interface as well as make several interesting findings, including a rogue antivirus scam, free iPadand iPhone scams, and advertisements propagating SMS trojans disguised as fake movie players. In broader terms, our system enables locating attacks and identifying the parties that intentionally or unintentionally let them reach theend users and, thus, increasing accountability from these parties.
Improve Software Quality using Defect Prediction Models

In spite of meticulous planning, good documentation and proper process control during software development, occurrences of certain defects are unexpected. These are may lead to degradation of the quality which might be the underlying cause of failure. In today’s situation, it’s necessary to make conscious efforts to control and minimize defects in software engineering. However, these efforts cost, time and resources. This paper identifies important factors which in turn suggest the solutions to improve software quality and productivity. The paper also shows on how the various defect prediction models are implemented resulting in reduced magnitude of defects.
A Study of Motion Detection Method for Smart Home System

---Motion detection surveillance technology give ease for time-consuming reviewing process that a normal video surveillance system offers. By using motion detection, it save the monitoring time and cost. It has gained a lot of interests over the past few years. In this paper, a proposed motion detection surveillance system, through the study and evaluation of currently available different methods. The proposed system is efficient and convenient for both office and home uses as a smart home security system technology
Supervised Approach to Word Sense Disambiguation

: In natural language processing, there exist a problem of determining which "sense" (meaning) of a word is activated by the use of the word in a particular context. Natural language is ambiguous. It is an easy task for a human to understand and disambiguate the ambiguous words but a trivial task for a computer to do so. Ambiguity can occur at various levels of NLP-lexical, syntactic
Multi-Core Embedded Controller Security Architecture with Instruction Stream Detection

Summary The paper presents a design scheme for multi-core embedded controller security architecture and a control application runtime unexpected behavior detection method based on instruction stream. In the architecture design, the partition and isolation functions of the hypervisor are used to consolidate the security-critical system and the non-security-critical system into a single hardware to be handled by different cores. The two cores cooperate with hardware-based instruction stream tracking module dynamically monitors whether the behavior of the control application executed by the monitored core deviates from the expectation to implement secure and reliable seamless control. The compatibility of different instruction sets and the impact of interrupt on detection are considered synthetically in the control application security detection algorithm. Finally, the effectiveness of the proposed method is verified by simulation experiments on ball and plate system.