Miracle-dz/UniFAR-FTUs huggingface dataset:
MICROBIAL TRANSFORMATION OF STEROIDS: A FOCUS ON TYPES AND TECHNIQUES

Steroids are widespread in nature and are important compounds present in living systems. These compounds include different sterols, bile salts and steroid hormones like estrogen, androgens, testosterones etc. and have numerous therapeutic applications. Microbial biotransformation of steroids is one of the applications of microorganisms in the large-scale industries and it also have certain advantages over the chemical processes of steroid production. For biotransformation process, precursor steroids are required which are transformed in to valuable intermediates as well as the final transformed product. Different types of biotransformation reactions are used for the process of microbial biotransformation which include hydroxylation, dehydrogenation, side-chain degradation, ring A aromatization and reduction. Biotransformation of steroids can be done by different techniques and approaches like biotransformation in aqueous medium, biotransformation using immobilized cells and enzymes, biotransformation using free enzymes and biotransformation in biphasic systems. Different biotransformation facilitators are also used for enhancement of product yield. Alternate Biotransformation systems using liposomes and microemulsions are also being used for microbial steroid biotransformation.
Scalable and Efficient Conditional Shortest Path Routing (SECSPR) for Delay Tolerant Networks

: Since a decade Delay-Tolerant-Networking (DTN) becomes very popular as they helpful in implementing the continuous network connectivity between the heterogeneous networks efficiently. Conventional network routing algorithms are not adoptable to DTN’s in general, therefore routing in DTN is still a challenging issue and an open active research area for research scholars. Due to the sporadic connectivity DTN nodes are suffering from lack of stable connectivity in longer communications. Therefore decision making in route selection for packet forwarding becomes a challenging issue. To avoid these problems in DTN’s, in this paper we introduce Scalable and Efficient Conditional Shortest Path Routing (SECSPR) to initiate the scalable data transfers through the efficient shortest path routing in a conditional way. We used conditional intermeeting time instead of conventional intermeeting time to construct the efficient shortest paths for scalable data transfer. Simulations of this new approach are showing that SECSPR is having the potential scalability and efficiency over existing methodologies in terms of shortest path construction, stable links and scalable data transfer among the heterogeneous networks.
An Advanced Taxonomy for Social Engineering Attacks

Rapid technological advancement has not only resulted in a change in the pace of economic development, but also led to increase in cyber-threats. A social engineering attack is one such threat where an attacker not only accesses critical information about a user through technology, but also through manipulation. Although the types of attacks are different i
A COMPARATIVE FINANCIAL PERFORMANCE BETWEEN FOREIGN COMPANIES AND DOMESTIC COMPANIES IN INDIAN PHARMACEUTICAL SECTOR

Capital play very important role for the growth and development of any economy but in absence of capital no economic activity can be performing. Capital can be raised with in the country or form outside the country and this capital is invested in companies which is known as foreign companies but all companies is not getting investment from outside country. There are many companies who are totally relying on domestic capital know as domestic companies. There are many research carried out to analyse wither performance of foreign companies is better than domestic companies or performance of domestic companies is better than foreign companies. The present study is made an attempt to make comparative analysis between foreign companies and domestic companies in Indian Pharmaceutical Sector by using panel data for 82 for the period 2007-2016.Variables used in this paper are PAT, age, size, current ratio and quick ratio. The paper concluded that foreign companies performance is better than domestic companies in Indian Pharmaceutical Sector.
American Journal of Education and Learning

Intelligence is a domain that has always interested people throughout history. Psychologists have become aware of the fact that real progress may be achieved only through collaboration, by unifying existing results and conclusions about the nature, function and modes of expression of intelligent behaviour. The ideal expression of such a synthesis would be a combination of the research findings of Sternberg and Gardner. To achieve effective results, each approach should diversify and refine its methodology and tools. This paper highlights the existence of a relationship between the predominant type of intelligence and the choice of the study profile, an aspect that may be taken into account in career guidance and counselling. Based on applying a battery of tests that measure verbal and logicalmathematical intelligence to a number of 86 subjects, students in the first year at the Faculty of Letters and Faculty of Sciences, the study highlights the fact that subjects have maintained their profile in the transition from high-school to university studies and there are significant differences in terms of the average logical-mathematical intelligence levels between the students from the real and those from the human profile. There are relevant differences between the mean of logical-mathematical intelligence levels of the subjects from the real profile and of those from the human profile, which confirms that at the students from the real profile the logical-mathematical intelligence is predominant. In terms of verbal intelligence, there are no relevant differences between the subjects from the real and those from the human profile, but for the entire research group there are significant correlations between verbal intelligence and the word scrambling test results.
Single-Stage Multi-Input DC-DC/AC Boost Converter by Using Unipolar Sinusoidal PWM Control Technique

: This project proposes a new extendable single stage multi-input dc-dc/ac boost converter. This proposed structure comprises two current bidirectional ports in the converter central part to interface battery and load in order to provide reliability in the supply. This proposed topology consist of two set of parallel boost converters, which are actively controlled to produce two independent output voltage components.
Isolation , optimization , characterization of cellulose enzyme production from Bacillus subtilis

Available online on http://www.ijlsci. in ISSN: 2320-964X (Online) ISSN: 2320-7817 (Print) Cellulose is considered to be one of the most abundant biopolymers on Earth. Cellulose degrading organism play a vital role in the biosphere by recycling cellulose, the most abundant carbohydrate produce by plant. In this text the present study was conducted with an objective of isolation of cellulolytic organisms from various fields of vellore. The cellulose degrading organisms were screened and characterised. Based on degradation of cellulose the potential organism Bacillus subtili sp. was selected for further studies. The strain Bacillus subtili sp. was identified as Bacillus subtilis based on the physical, biochemical and 16srRNA sequencing. Carboxy methyl cellulose medium (CMC) was the best medium for production of cellulase. The maximum production of cellulase was observed at temperature 300C and pH 7.5of 137.22 and 137.20 U/L respectively. Overall this study indicates that Bacillus subtilis was a potential in degradation of cellulose, which could be used commercially and/or industrially.
Screening methods for antihyperlipidemic activity: A review

Plasma cholesterol and triglycerides are clinically important because they are major treatable risk factors for atherosclerosis and cardiovascular diseases. Many diseases such as diabetes, obesity, hyperlipidemia, and hypertensions are associated with abnormal lipid metabolism. Today, cardiovascular disease is one of the major causes of death. [1] Even if stains remain the major hypolipidemic agent currently in use, an increasing number of patients who are treated with stains suffer from side effects or they do not respond well to therapy. Thus, the development of novel antihyperlipidemic agents is worthy in the present scenario. Cholesterol acts as a precursor for steroid and hormones. In addition, cholesterol has many roles in the body as an important constituent in cell membranes. Hyperlipidemia is characterized by increased level of cholesterol in the form of low-density lipoprotein (LDL), chylomicrons, VLDL, etc. This can be estimated using various enzyme kits, and nowadays, Review Article
Distribution And Diversity Of Meio-Benthos In Ennore Estuary, Southeast Coast Of India

In the present study, the distribution and diversity of meio-benthos in Ennore estuary was studied in relation to seasonal variation of environmental entities. A total of 41 meio-benthic species belonging to four meio-fauna taxa: foraminifera, nematodes, ostracodes and harpacticoids were recorded. Among the four meio-fauna taxa, foraminiferans topped the list with 26 species followed by nematodes (8 species), ostracodes (4 species) and harpacticoids (3 species). The maximum density (448Nos/10cm2) was recorded near thermal power plant (EE-2) and minimum (296Nos/10cm2) was recorded near estuary mouth (EM-RS). Heavy metal concentration also varied significantly in both the estuaries. Of these, the level of Cadmium (Cd), iron (Fe), chromium (Cr) and Lead (Pb) accumulation was found maximum at estuary station (EE-1) and minimum at mouth regions (EM-RS). Biotaenvironmental matching (BIO-ENV) showed that the environmental parameters such as Dissolved oxygen, Temperature, Salinity, Soil pH, Sand, TOC and Clay manifested as best match (ρω = 0.975) in determining meiofaunal distributions. The maximum diversity (H’) of meiofauna was recorded (3.768) near estuary mouth (EM-RS), similarly the maximum species richness (d) 6.923 was recorded near thermal power plant (EE-1) and maximum species evenness (J') 0.995 was recorded at mouth region (EM-RS). The results of present study helps to develop an understanding on the meiofaunal distribution based on seasonal variation of physico-chemical parameters and heavy metal concentration, which will form a reliable tool in biomonitoring studies.
A Survey on Counting and Classification of Highway Vehicles

: Vehicle tracking system is used for the observing vehicles on the move and supplying a timely ordered sequence of respective location data to model. Tracking vehicles on highways is a complex task since the count of vehicles increase day by day. The process of counting traffic along a particular road, either done electronically or by people counting by the side of the road is called vehicle counting sometimes referred as traffic counting. Local councils use vehicle count to identify which routes are used most, and to either improve that road or provide an alternative if there is an excessive amount of traffic. Some of the geography fieldwork involves a traffic count. They are useful for comparing two or more roads, and can also be used alongside other methods to find out where the Central Business District (CBD) of a settlement is located. Traffic counts that include speeds are used in speed limit enforcement efforts, highlighting peak speeding periods to optimize speed camera use and educational efforts. Many algorithms and methods have been proposed in this paper to detect, track, classify and count vehicles on highways.
Impact of tamarind flour consumption on Body Mass Index (BMI) of diabetic patients

Introduction: Tamarindus indica L. is a common fruit in tropical regions, produced in a large quantity at the Northeast, and it is easy to find. Objective: To investigate the impact of using a flour obtained from tamarind over BMI. Methods: This is a longitudinal study, which involved 82 patients with type 2 diabetes mellitus, who were attended by an institution of reference. They consumed a flour produced from tamarind for 30 days. All volunteers were interviewed with a form containing data about sex, age, color (self-reported), years of education, occupation, monthly income. Anthropometric measurements were taken, like weight, height and BMI. At the end of four weeks the weight was measured again. Results: There was overweight prevalence (70.73%) among the participants before starting the use of flour. After a month using the flour, it is clear that the final BMI of most participants remained at overweight (65.85%). Note that this percentage decreased from that at the initial and the BMI of some participants became classified as eutrophic (6.09%). There was a decrease in the percentage of obesity, which went from 29.26% to 28.04%. The average BMI values before and after the intervention were significantly different (p <0.05). Conclusion: The flour used was associated with improved nutritional status of the patients, with an increase of eutrophic and to the reduction on the proportion of obese. This research received financial support from the CNPq.
A Survey on Searching of Keyword on Encrypted Data in Cloud Using Access Structure

- The cloud computing is very popular as it gives more storage solution over the existing systems. In cloud data outsourcing is done using the encryption technique this gives the protection and secure data against unauthorized parties. Data in the cloud is in encrypted format and it is difficult to retrieve from cloud server. In this paper user request the data using access structure in the form of predicates are expressly in Boolean formulation, conjunctive, disjunctive and achieve the resultant document from server data storage. The main aim of this paper is searching of keyword from the cloud in the form encrypted data using cloud data storage this Multi-keyword ranked search is the beneficial technique for looking encrypted data inside the Cloud. The data duplication of documents is avoided and also it gives the top-K documents to the request users by analyzing this documents user find in which document more data is available for the requested structure then it downloads only this document. In this paper the new concept that is user interest model is designed this model is used for storing the history of searching data it works like cookies in the web. Different algorithms are RSBS is about to reduce the search time and AES is for encryption of data and also to avoid duplication specific duplication algorithms are used. This system gives the significant performance of the existing schemes.
An Efficient Protection against Collaborative Attacks in Manet Using Cooperative Bait Detection Scheme

: Mobile Ad Hoc Networks (MANETs) are formed dynamically by an autonomous system of nodes that are connected via wireless links without using the existing network infrastructure. One of the main challenges in MANET is to design the robust security solution that can protect MANET from various routing attacks. In the presence of malicious nodes, this requirement may lead to serious security concerns for instance; such nodes may disrupt the routing process. In this context, preventing or detecting malicious nodes launching collaborative black hole , gray hole or wormhole attacks is a challenge. This paper attempts to resolve this issue by designing an Adhoc on demand distance vector (AODV) based routing mechanism, which is referred to as the cooperative bait detection scheme (CBDS), that integrates the advantages of both proactive and reactive defense architectures. Our CBDS method implements a reverse tracing technique to help in achieving the stated goal. Simulation results are provided, showing that in the presence of malicious-node attacks.
A Review on Maximum Power Point Tracker (MPPT) for Photovoltaic (PV) Systems

Maximum Power Point Tracking (MPPT) is a modified f eedback Technique where operating point of power converter connecting source to load is constantly d ithered by a small amount. In general, the output i mpedance of energy harvesting sources varies with input level, t mperature, often input frequency, and other param eters. Matching the resulting impedance deterministically is virtually impossible, so a technique called MPPT is developed. This paper presents a literature survey on various techniques used in achieving the Maximum Power Point (MPP) and the algorithms used in it.
Efficient DDoS Attack Detection and Prevention Framework Using Two-Level Classification in Cloud Environment

— Cloud computing is one of the most important technologies in the IT industry. It has serious security threads such as the Distributed Denial of Service attack. In this kind of attack, the attacker targeted the victim cloud using zombie hosts. This paper proposes a novel framework to detect and prevent these types of attacks using feature extraction and selection methods to reduce the computation time and select optimal features from received packets to help in classification. This classification uses two-level method that is based on fuzzy type-2 logic and support vector machine - neural networks (SVM-NN). CloudSim simulator and KDD CUP dataset of DDoS attack are used to simulate the proposed framework. Finally, this framework shows effective results in terms of detection accuracy and false positive rate.
Towards A New Architecture of Detecting Networks Intrusion Based on Neural Network

Networks intrusion detection systems appear nowadays as one of the most efficient solution for detecting illegal or suspicious activities in a network. Using neural networks to meet this objective has been studied by many authors. Most of the solutions provided in the literature face the problem of relevance and reliability. One of the major reasons of such a situation is the misconception of a correct profile. In this paper, a modular architecture is proposed, in which each module is dedicated to detecting a particular type of attack. Firstly, each module is trained with all attributes, then secondly some of the attributes used for training are pruned from the training set. This modularity allows us to know which of the system’s module threaten the NIDS performance. The experimentation led us to observe that, depending on the type of the attack, some of the attributes have a marginal effect, although in the opposite, some other have a dominant effect. We have done a comparative study of the solution proposed and the others in the literature. It appears that our solution is more efficient on certain type of attacks. The NSL-KDD dataset has been used to train, test and evaluate our architecture.
A new approach for somnolence detection & analysis based on LabVIEW

: Drowsiness is the state where a person is almost asleep or very lightly asleep. It refers to an inability to keep awake. In this thesis drowsiness and sleepiness are considered synonymous, but the term drowsiness will be used. Another concept commonly used is fatigue, which is an extreme tiredness that comes from physical or mental activity. Drowsiness can also be described by the grade of wakefulness or vigilance. Wakefulness is the same as alertness or a state of sleep inability, whereas vigilance can be defined as watchfulness or a state where one is prepared for something to happen. There are several factors which affect the grade of wakefulness. The time spent to carry out a task (time on task) and the amount of sleep during night are the most important factors. Other factors which are responsible are the amount of light, sound, temperature and oxygen content. Motivation and monotony of the task will also have an effect on the grade of wakefulness. Drowsiness can be measured by using physiological measures, performance measures, self-report or expert ratings. In the present trend suggests driving and navigation support systems are getting importance because it is crucial in supporting drivers in several conditions in automobile industry. It is important for driving support systems to detect the status/activity of driver’s consciousness. Detecting onset of driver fatigue could prevent the accidents caused by drowsy driving. It is proposed to detect / analyse the driver fatigue by the application of dedicated physiological indicators such as electroencephalography and also facial features such as eyelid movements based on template matching using neural network technique for closed eyes versus opened eyes. EEG signal is one of the most predictive and reliable measurements by the analysis of alpha, beta and theta band power etc., which are considered as direct factors associated with human drowsiness. The parameters such as blink duration and opening time changes reliably with increasing drowsiness.in this system LabView is used for analysing the data for this application.
DEVELOPMENT OF CHITI FROM NARMADA RIVERSI

Chitin and chitosan are the important biopolymers extracted from many sources. This paper describes the chemical extraction of chitin and chitosan from Narmada riverside crab shells. The processes involved in chitin and chitosan preparation were deproteinization, demineralization The mechanical properties of the extracted chitin and chitosan would be investigated to recognize their mechanical applications. Chitin is the well nature, after cellulose. Due to its industrial and biomedical appli economic value and importance in an engineering field. Crustaceans, insects, and microorganisms are the main sources of chitin extraction. The commercial sources are exoskeletons of shrimps, crabs, lobsters, and krill that are supplie quantities by the shellfish processing industries in many countries. Both chemical and biological methods are being used for chitin preparation. Bases and acids are required for a chemical method, while the biological method involves microorgani preparation. HCL and NaOH were used for demineralization and deproteinization respectively. The deacetylation of chitin was done by using concentrated NaOH to prepare chitosan. The Na for biopolymer preparation. Therefore the present work recognizes the utility of these waste crab shells.
Approaches to Reduce the Impact of DOS and DDOS Attacks in VANET

Growing number of vehicles in use has ushered in the service to provide human and resource safety. The present trend calls for the application of technology to automate safety measures in road traffic and since has been known as Intelligent Transport System (ITS). Vehicular Ad Hoc Networks (VANETs) are envisioned to be used in practical ITS systems around the world. Privacy and Security have become an indispensable matter of attention in the VANET Networks, which is vulnerable to many security threats these days. One of them is the Denial of Service (DoS) attacks, where a malicious node forges a large number of fake identities, i.e., Internet Protocol (IP) addresses in order to disrupt the proper functioning of fair data transfer between two fast moving vehicles. In this paper various level of Denial of Service attack in VANET are discussed and various approaches that mitigate the impact of DOS, Jamming and Distributed DOS attacks are surveyed and a simple scheme is proposed to overcome DOS.
Pulse Position Based Modulation Techniques for Optical Communication

: Intensity modulation with direct modulation (IM/DD) favors low duty cycle modulation schemes such as pulse position modulation (PPM) and multiple PPM(MPPM). In this paper,the channel model over IM/DD is introduced. Then, a brief summary is given about some of the modulation techniques used in this area. Finally, some of the pulse position based coded modulation techniques are rewiewed.