Miracle-dz/UniFAR-FTUs huggingface dataset:
Media Optimization For Lovastatin Production by Statistical Approach Using Aspergillus terreus by Submerged Fermentation

Lovastatin is a secondary metabolite produced by Aspergillus terreus which is used as cholesterol-lowering drugs called HMG-CoA reductase inhibitors. In the present study to increase the yield of lovastatin, production media components were optimized. The impact of media components which includes carbon, nitrogen source, organic and inorganic salts were studied with response surface methodology. A “Plackett-Burman Design” was employed to evaluate the effects of different components in the media. The concentration of Casein, Citric acid and Sodium acetate significantly influence the Lovastatin production. The Pareto chart was employed to determine the optimal regions of these three significant factors. These three factors were optimized using central composite design (CCD) of “response surface methodology. ” The optimized fermentation medium composition was as follows (g/L): Casein 25.0, Citric acid 12.0, Sodium acetate 18.0, Dextrose 40.0, Cotton seed meal 5.50, Soya flour 20.5, Magnesium sulphate (MgSO4.7H2O) 1.0, Calcium carbonate 7.5, Glycerol 5.0, PEG-400 3.85, Soya oil 5.0. The validated model can precisely predict the Lovastatin production. Keywords-Lovastatin, Fermentation, Plackett Burman Design, Central Composite Design, Response Surface Methodology. www.jmscr. igmpublication.org Impact Factor 3.79 ISSN (e)-2347-176x
Gender Determination from Dental Pulp Tissue

Establishment of a person’s individuality is important for legal as well as humanitarian purpose and gender determination is an essential step in identifying an individual. The identification of a person is required when the body is disfigured or mutilated beyond recognition as a result of barbaric crimes, workplace and motor vehicle accidents, aviation and navy disasters, wars, fire, flood, manmade and natural mass disasters and casualties, and in circumstances where the body is in an unrecognizable, decomposed state.In teeth, DNA is found in the pulp tissue, dentin, cementum, periodontal ligament and alveolar bone. Teeth are one of the most robust structures of the human body and offer high impedance to the immediate and cumulative effects of adverse environmental conditions.Teeth can survive long after soft and skeletal tissues have been destroyed and since the pulp is enclosed in hard tissue structures, it becomes a reliable means for determination of sex.
Investigation of Instant Soluble Herb Tea Production from Lotus (Nelumbo Nucifera) Rhizome

Rhizome of Nelumbo nucifera is known to contain different bioactive phytochemical constituents. The rhizomes are used as popular health food. Lotus rhizomes are composed of proteins, fats, carbohydrates and minerals and are good source of energy. The lotus rhizomes are popularly used as vegetables. The lotus rhizomes need to be exploited for the development of value added products. We investigated a production of instant soluble herb tea from lotus root by investigating the raw lotus root, method of extraction and spray drying to get an optimal processing protocol for herb tea production. Our results showed that raw lotus root should be chopped and freeze-dried to 8% moisture; solvent for extraction of lotus root herb tea should be 30% ethanol: 1% acetic acid; ratio of solvent to material should be 8:1 in 24 hours at 70C by deep soaking. Spray drying conditions to get herb tea powder should be 6% maltodextrin as carrier; 140C as drying temperature; 250 ml/h as volumn of input feeding for spraying, 8% of isomalt as supplementation.
A Survey of Image Enhancement Techniques

This paper has focused on the different image enhancement techniques. Image enhancement has found to be one of the most important vision applications because it has ability to enhance the visibility of images. It enhances the perceivability of poor pictures. Distinctive procedures have been proposed so far for improving the quality of the digital images. To enhance picture quality image enhancement can specifically improve and limit some data presented in the input picture. It is a kind of vision system which reductions picture commotion, kill antiquities, and keep up the informative parts. Its object is to open up certain picture characteristics for investigation, conclusion and further use. The main objective of this paper is to discover the limitations of the existing image enhancement strategies.
GREEN HOUSE SURVALLANCE SYSTEM USING ZIGBEE

1,2,3 U.G. Students, Department of Electronics and TelecomunicationEngineering, BharatiVidyapeeth’s College of Engineering, Kolhapur ,(India) ABSTRACT This paper designs a novel wireless surveillance system in greenhouse, using smart phone in order to solve long-existing problems in traditional systems, such as high maintenance cost, low robustness and mobility, etc. The introduction remote based control has remarkable meaning in the design of greenhouse surveillance systems, as it could simplify the design and also extends the function. We here propose the well monitoring system in greenhouse using remote control as controller Application. In this system remote control will be operated by user for cutting the flower in the greenhouse with the help of scissor mounted on mechanical structure. The whole system will be operated by low power microcontroller Ardiuno.
E-Learning Awareness in Higher Education Institutions in Jammu & Kashmir: Attitudes and Perceptions of Faculty Members

— The purpose of this research paper is to understand through faculty perception that which academic area needs the most instructional support from the IT organization for e-learning, what the academic administration is doing for faculty to encourage them for the use of e-learning in their lectures and how academic administration encourages them to incorporate instructors to incorporate technology into instruction in different institutions of different districts of Jammu and Kashmir. The objective of the study was to access the related issues through faculty perception. Questionnaires were distributed to twenty faculty members and academic administrators of different institutions of different districts of Jammu and Kashmir in order to identify the important elements. The questionnaires include eight elements to understand the needs and were analyzed for analysis for variance of variance (ANOVA) in a randomized block design with three replicates using and SPSS to understand the significance of difference of difference between the elements. It is clear from the results that eLearning system has a positive impact on teacher at different institutes which include (i) it helped improve their job performance , (ii) assisted them to think through problems and (iii) allowed educational institutes to provide better and newer way of learning using the new educational technologies within educational process.
Enforcing Role-Based Access Control for Secure Data Storage in Cloud Using Authentication and Encryption Techniques

Abstract – With the fast advancement taking place in cloud computing and services, the culture to use the cloud for large-scale data storage is being adopted. This growth in cloud computing has elevated the key security issue of how to control and avert illegitimate access to data stored in the cloud. Now a days most of the work concentrates on privacy of data contents and access control, whereas the attention towards privilege control is compensated. Role-based access control (RBAC) is one of the familiar access control model which provides flexible controls and database management by having users mapped to roles and roles mapped to privileges on data objects. In this paper, an encryption scheme is proposed which incorporates the cryptographic approaches with RBAC and also an anonymous control scheme to address the privacy in data as well as the user identity privacy in current access control schemes. A real-time method is provided to maintain a secure communication in cloud computing which ensures security as well as trust-based access to cloud. The proposed model contains algorithms to explain data protection and user authentication problems. The analysis suggests that the purpose of this work is carried out by the proposed algorithm i.e. to decrease cloud computing security concerns such as data protection, authentication, and securing data while communicating.
Graphical Password Authentication Using Image Segmentation

- Authentication is performed using passwords that are alphanumeric in nature. However, users find it difficult in remembering a password that is long and needs to be recalled again and again while implementing it. Instead, they create short, simple, and insecure passwords that make the user’s data vulnerable to outside attacks. Graphical passwords provide a way out of this dilemma by making passwords more rememberable and easier for people to use as a password and, therefore, makes it more secure. Using a graphical password, users clicks on images rather than typing text passwords which contains alphanumeric characters. A new and more secure graphical password system has been developed which uses image segmentation. The image segmentation system presents the user with an image upon which the user selects a number of grids on this image; when entered in a proper sequence these points authenticate the user. The findings showed alphanumeric passwords and graphical passwords both worked in similar time but the graphical passwords were easier to recall and remember. [1] Thus, Graphical passwords were found to be hard to crack as they are newly implemented and not many algorithms have been devised to break through them
Performance Analysis and Optimal Detection of Spatial Modulation

In this paper, we propose the optimal detector for spatial modulation. The new detector performs significant better than the original (~4 dB gain), and we derive the closed form expression for the average bit error probability. The optimal detector of SM shows performance gain (~1.5 −3 dB) over popular multiple antenna system, making it an excellent prospect for future wireless communication. Keywords-Antenna modulation, spatial modulation, maximum likelihood detection, MIMO. __________________________________________________*****_________________________________________________
Colorectal Cancer Prevention with a Plant-Based diet

A plant-based diet is valuable in the primary and secondary prevention of colorectal cancer. Epidemiological studies show a 46%-88% reduced risk of colorectal cancer for those following a plant-based diet. In light of evidence, the World Health Organization International Agency for Research on Cancer (IARC) has classified processed meat as a carcinogen and red meat as a probable carcinogen and has since reaffirmed their decision in light of more recent studies. The pathogenic mechanisms by which processed and red meat can cause colon cancer to have been determined. Several exogenous carcinogens are contained in meat and others are formed as a byproduct of its preparation. Bacterial flora produces several carcinogens endogenously in response to processed and red meat intake. Some of the ways plant foods and their phytonutrients protect against colon cancer are also now understood. The chemoprotective mechanisms of plant foods are through the direct actions of phytochemicals, through the action of fiber, and as a result of the anti-inflammatory environment produced by the colonic flora. While colonoscopy and FIT-DNA tests remain very valuable for secondary prevention, a plant-based diet can provide both primary and secondary prevention of colorectal cancer. Making prevention of colon cancer with a plant-based diet all the more desirable is that it is also a safe and efficacious prophylaxis and treats common comorbidities such as coronary artery disease and type II diabetes.
Development of light weight algorithms in a customized communication protocol for Micro Air Vehicles

: In this paper, a secure communication protocol between drones and smart objects is presented. This paper suggests the improvement of security in MAV communication protocol for the communication between the GCS and the MAV. Proposed method involves the implementation of the Caesar Cipher method of data encryption with a secured key. The method of Ciphering is used for authentication of the Micro Aerial Vehicle at the beginning of the communication.
Circulating MicroRNAs as Non-invasive Molecular Biomarkers for Early Detection Breast cancer

Esraa. A. El Aidy. In recent years, circulating miRNAs have attracted a great deal of attention as promising novel markers for various diseases. We investigated their potential to serve as minimally invasive, early detection markers in early stages breast cancer in blood plasma and non-cancerous familial high risk individuals. We profiled miRNAs extracted from the plasma of early stages breast cancer patients ,stages one and two (taken at the time-point of diagnosis) and 23 familial high risk individuals as well as 39 healthy control individuals using syber green RT-qPCR. MiRNA 21 was shown to be significantly up regulated with p-value 0.0001 ,while miR-let 7c shown to be significantly down regulated in the plasma of early stages breast cancer patients with p-value 0.0160. On the other hand, both of miR-21 and miR148b had significant differences between early stages breast cancer patients and familial non-cancerous high risk individuals. In conclusion, the identified miRNAs might be of potential use in the development of a multi markers blood-based test to complement and improve early detection of breast cancer and to test the hypothesis that miRNAs profiles reflect the risk of breast cancer in women at high risk due to strong family history. Such multimarkers blood test might for instance provide a prescreening tool, especially for younger women, to facilitate decisions about which individuals to recommend for further diagnostic tests.
Vertical Handover Decision (VHD) Algorithm for Optimizing the Performance in Fourth Generation Heterogeneous Networks

: This paper presents a networks selection algorithm in fourth generation heterogeneous network. Radio network selection is the mechanism which makes a decision how to select the most suitable RAT based at the found accesses, QoS constraints, operator policies, consumer choices and available system capacity and usage. In such networks of heterogeneous nature, roaming users will revel in frequent handovers across network limitations and also the person who wants to request for offerings. Therefore, optimizing the selection procedure is a crucial issue of research to select the quality network, make sure seamless roaming and efficient useful resource usage over assorted networks, so wise algorithms want to be used considerably. This paper gives a vertical handover decision (VHD) scheme for optimizing the performance of vertical handover techniques within the Fourth generation (4G) heterogeneous wireless networks which increases the throughput, data rate for the users and decreases Handover Failure probability for the networks.
Outlier Analysis in Complex Network Using DB scan Algorithm and Neural Network

- Outlier detection has been used to detect the outlier and, where appropriate, eliminate outliers from various types of data. It has vital applications in the field of fraud detection, network robustness analysis, Insider Trading Detection, email spam detection, Medical and Public Health Outlier Detection, Industrial Damage Detection, Image processing fraud detection, marketing, network sensors and intrusion detection. In this paper, we propose a DBSCAN clustering and neural network as novel to detect the outlier in network analysis. Especially in a social network, DBSCAN clustering and neural network is used to find the community overlapped user in the network as well as it finds more kclique which describe the strong coupling of data. In this paper, we propose that this method is efficient to find out outlier in social network analyses. Moreover, we show the effectiveness of this new method using the experiments data.
Review Paper on Interpolation of Digital Images using Modal Function

Image interpolation techniques are referred in literature by many terminologies, such as image resizing, image resampling, digital zooming, image magnification or enhancement, etc. Basically, an image interpolation algorithm is used to convert an image from one resolution (dimension) to another resolution without losing the visual content in the picture. Image interpolation algorithms can be grouped in two categories, non-adaptive and adaptive. This paper, gives an overview of basic interpolation techniques and find that there is scope of improvement of quality in an image.
Handwritten English Character Recognition using Multilayer Perceptron Neural Network

Character recognition is one of the most attention holding and extremely interesting areas of pattern recognition and artificial intelligence. Offline handwritten English character recognition is difficult due to variation in shape, slope and size of individual characters. Such variations in handwriting can be handled by better pre-processing and feature extraction techniques. Handwritten character recognition is more difficult process as compared to typed or printed characters. Neural networks are used in character recognition from last many years. The proposed system has been implemented using MATLAB successfully. In this paper, we present a handwritten character recognition system in which first of all original image is converted into greyscale image. After that pre-processing steps are applied on that greyscale image. Then individual characters split from word using segmentation. Features are extracted for those characters and multilayer perceptron classifier is used for classification. At last handwritten character is recognized and converted into machine printable form, which will be easier to store and use in future. The result shows that the back propagation network provides good recognition accuracy of more than 70% of handwritten English characters.
RULE-BASE IDS FOR APPLICATION LAYER USING FUZZY LOGIC

: The objective of this paper is to develop a Fuzzy Rule-Base Based Intrusion Detection System on Application Layer which works in the application layer of the network stack. It consists of semantic IDS and Fuzzy based IDS. Rule based IDS looks for the specific pattern which is defined as malicious. A non-intrusive regular pattern can be malicious if it occurs several times with a short time interval. At application layer, HTTP traffic’s header and payload are analyzed for possible intrusion. In the proposed misuse detection module, the semantic intrusion detection system works on the basis of rules that define various application layer misuses that are found in the network. An attack identified by the IDS is based on a corresponding rule in the rule-base. An event that doesn’t make a ‘hit’ on the rule-base is given to a Fuzzy Intrusion Detection System (FIDS) for further analysis. In a Rule-based intrusion detection system, an attack can either be detected if a rule is found in the rule base or goes undetected if not found. If this is combined with FIDS, the intrusions went undetected by RIDS can further be detected. These non-intrusive patterns are checked by the fuzzy IDS for a possible attack. The non-intrusive patterns are normalized and converted as linguistic variable in fuzzy sets. These values are given to Fuzzy Cognitive Mapping (FCM). If there is any suspicious event, then it generates an alarm to the client/server. Results show better performance in terms of the detection rate and the time taken to detect. The detection rate is increased with reduction in false positive rate for a specific attack.
Performance Enhancement of DSR Routing Protocol Using Mobile Agents

: - Mobile Adhoc network consists of a large number of wireless nodes communicating with each other without a predeﬁned infrastructure. They communicate by forwarding packets to their successive neighbors falling in the route of intended destination node. It is very challenging to design adhoc network routing protocols because of its decentralized infrastructure. This kind of Infrastructure makes performance and security more challenging for adhoc networks. Dynamic Source Routing (DSR) protocol is a popular routing protocol designed for use in wireless adhoc networks. Mobile agent is a Remote Method Invocation (RMI) based technology, now a day’s very commonly used in diverse ﬁelds of network applications. In this paper, we are trying to implement DSR using mobile agents in order to enhance performance of mobile adhoc network. While considering various performance metrics such as QoS, Network Throughput, Packet Reception Ratio and network delay to evaluate working of mobile agent with DSR protocol. We found that DSR can be enhanced its performance using mobile agents.
An Analysis of Priority, Length and Deadline Based Task Scheduling Algorithms in Cloud Computing

- The cloud computing can be simply stated as delivery of computing environment where different resources are delivered as a service to the customer or multiple tenants over the internet. The task scheduling mainly focuses on enhancing the efficient utilization of resources and hence reduction in task completion time. Task scheduling is used to allocate certain tasks to particular resources at a particular time instance. Many different techniques have been presented to solve the problems of scheduling of numerous tasks. Task scheduling improves the efficient utilization of resource and yields less response time so that the execution of submitted tasks takes place within a possible minimum time. This paper discusses the analysis of priority, length and deadline based task scheduling algorithms used in cloud computing.
Analyzing 3D IC PDNs Using Multiple Clock Domains to Obtain Worst-Case Power Supply Noise and Temperature Variations

— This work presents power and thermal integrity issues obtained from multiple clock domains in 3D IC Power Delivery Network [PDN]. First, we introduce how power supply noise is distributed on each tier and how it derives to worst case noise. Second, we examine the performance of thermal analysis in each tier. Finally, we present how heat is distributed among multiple clock domains. Experiment results show that the amount of noise and heat transfer in each tier is mainly contributed from TSVs. SPICE simulation is used to obtain the worst-case power supply noise and temperature Variations on 3D IC PDNs.
Chronic Physical Illness Affects Emotion Regulation Process: A Case of HIV/AIDS

The chronic physical and mental clinical conditions are characterized by some or other sorts of emotional problems. People suffering from these diseases find themselves incapable to regulate their emotions resulting from pain, hopelessness, lack of care etc. The individuals suffering from Human Immunodeficiency Virus/Acquired Immune deficiency Syndrome (HIV/AIDS) face many types of physical and mental health problems. The central goal of the present study was to compare and contrast the characteristic features of emotion regulation processes of the participants and uncover the intricacies of these processes rampant in the people living with chronic disease of HIV/AIDS. The two strategies of emotion regulation were chosen for this purpose i.e., emotional suppression and emotional appraisal. Eighty participants took part in the study in which forty were diagnosed male and female patients with HIV/AIDS and the rest forty were normal adults with no known/reported chronic disease of any kind. The results of the study evinced that the clinical and non-clinical participants significantly differed in their mean scores on emotional suppression and cognitive reappraisal strategies of emotion regulation. The results have been discussed in the light of current theories of emotion regulation along with their implications for future research.