Miracle-dz/UniFAR-FTUs huggingface dataset:
Int J Ayu Pharm Chem

Aging is the process of life which includes progressive physiological and anatomical changes in various systems of body. The proposed study aims to describe various anatomical and physiological changes that occur in old age. Aging process brings about various changes in every system of the body such as cardiovascular, respiratory, gastrointestinal, urinary, nervous, endocrine, reproductive and musculoskeletal. Through the critical analysis of the literature it is found that Ayurveda has given remedies to avoid jara (old age) state of life in the form of rasayan (rejuvenation) drugs, adopting dincharya (daily routine follow up), by avoiding suppression of various adharniya vegas (urges), yogic process and pranayama.
Neurons, Neural Networks and Brain as Objectives of Mathematical Consideration

A new model of neural network was proposed as a type of probable mathematical automaton. The aim of our research was to provide a model of neurons and neural networks that can mimic the properties of actual neurons and nervous systems with sufficient fidelity and comprehensiveness. The model consists of combinations of two elements: neurons and synapses. Neurons receive synaptic inputs and send output action potentials represented by a series of delta function obeying probability density which is a function of synaptic input and internal state of the neuron. Neurons themselves are reset their internal state to the refractory period by the output action potential. Synapses receive inputs from presynaptic neurons and give outputs to post-synaptic neurons as a function of the input and internal state. Internal states of both neurons and synapses change with the pattern and amount of inputs and hence, this model can be used as a realistic learning and self-organizing model.
Area and Delay Optimization using Various Multiple Constant Multiplication Techniques for FIR Filter

An exact Filter Design Optimization (FDO) algorithm that can guarantee the minimum design complexity, but can only be applied to filters with a small number of coefficients. Then introduce multiple constant multiplications and using exact and approximate algorithm that can handle filters with a large number of coefficients using less computational resources than the exact FDO algorithm and find better solutions than existing FDO heuristics. These algorithms can be modified to handle a delay constraint in the shift-adds designs of the multiplier blocks and to target different filter constraints and filter forms. Experimental results show the effectiveness of the proposed algorithms with respect to prominent FDO algorithms. In this FDO technique there are three type of FIR technique we use to implement the graph based, common sub-expression elimination, digit based recording algorithms and compare the area and delay
Truth Finding by Attribute Reliability Estimation for Heterogeneous Data

—In the era of big data, data veracity is one of the most challenging problems. One important task in big data integration is to derive the most accurate records from noisy and conflicting data records collected from multiple sources. However, data sources may process a set of properties with inconsistent reliabilities, e.g., height and weight of a patient are more likely to be true than profession in medical records, departure and landing time of a flight are more likely to be true than weather in airline records. In a cloud computing environment, discrepancies among data describing the same object appear more common because of the increased degree of data replication and unknown trustiness of servers storing the data in a cloud. Besides, we observed that the difficulty to provide truth for different entity is quite different. In this paper, we propose an ARTF model to estimate attribute reliabilities with heterogeneous data types and update it with the entity hardness automatically. The property trustworthiness will be more precise in describing source reliability, which in turn will achieve a better precision in inferring the truth. We compare the performance of our method to the state-of-art truth discovery methods through a real world dataset and a synthetic dataset respectively, the experimental results show that our algorithm can process source conflicts much more accurately while reducing the convergence rate.
The Scope of Pharmacognosy Today & Tomorrow. Int J Pharmacogn Chinese Med 2018, 2(1): 000127

Pharmacognosy, derived from the Greek words “pharmakon” (drug) and “gnosis” (knowledge), is the study of medicinal drugs derived from plants or other natural sources [1]. Healing with medicinal plants is as old as mankind itself. Herbal medicines as the major remedy in ancient system of medicine are employed in medical practices since antiquity. The documents many of which are of great antiquity, unconcealed that plants were used medicinally in India, china, Egypt and Greece long before the beginning of the Common Era [2]. The Indian holy books Vedas mention treatment with plants, which are abundant in that country. Numerous spice plants used even today originate from India: nutmeg, pepper, clove, etc [3]. The American Society of Pharmacognosy defines pharmacognosy as "the study of the physical, chemical, biochemical and biological properties of drugs, drug substances or potential drugs or drug substances of natural origin as well as the search for new drugs from natural sources" [4]. Modern Pharmacognosy involves the broad study of natural products from various sources including plants, bacteria, fungi, and marine organisms [5]. Plant preparations are said to be medicinal or herbal when they are used to promote health beyond basic nutrition. This study acts as an important link between pharmacology and medicinal chemistry which also plays a vital role between Ayurvedic and allopathic systems of medicines. Botany includes the identification (taxonomy), genetics, and cultivation of plants. Chemical characterization of includes the isolation, identification and quantification of constituents in plant materials. The pharmacognosy is a rapidly developing science which deals with the complete and systemic knowledge of crude drugs which will be useful to mankind in order to relieve diseases in human beings and as well as it helps for the manufacturers or in pharmacies.
A Survey on Effect of Dimensionality Reduction Techniques on Data Clustering

— Clustering of data sets containing large number of variables presents challenges like cluster visualization and interpretation, computational complexity etc. Also when the scattering of data sets increase, distance measures used for assigning data sets to different clusters becomes less meaningful, leading to inaccurate clustering. So theoretically, it makes sense to reduce dimensionality of any large dimensionality data set before applying clustering techniques to it. Another area of challenge in data clustering is validation of clustering results for which a number of validity indices have been proposed. This paper does a survey on application of different dimensionality reduction techniques such as PCA, CMDS, ISOMAP, HLLE etc as a data pre-processing step on k-means data clustering algorithm and validates the results by observing the change in different Clustering Validity Indices.
Diagnosis of food safety management systemsperformance in food processing sectors for export anddomestic markets

This study provides the comparison of the performance of current food safety management systems (FSMS) of food processing companies for export (fish) and domestic markets (dairy). The FSMSdiagnostic instrument was applied to assess the levels in context riskiness, FSMS activities, and food safety performance of 14 fish and 22 dairy companies in Tanzania. Fish companies revealed average FSMS and medium-good food safety performance, while dairy companies indicated basic FSMS and poor food safety performance. However, the FSMS of both sectors operated in moderate-risk context. Both sectors need specific measures to improve their FSMS and reduce the risk-level of the context to guarantee food safety. The measures to reduce context riskiness include putting high and specific requirements on operators’ competence level, describing all activities in standard operating procedures, and setting requirements on product use by major customers. The measures to enhance FSMS performance include use of industrial cooling facilities, hygienic design, strict raw material control, specific sanitation programmes, and analysis of critical control point. Dairy companies need to set-up assurance activities including validation, verification, documentation, and record-keeping system. However, enabling regulatory environment is required for the food industry, particularly the domestic market sectors, to improve FSMS and guarantee food safety.
Gamma Knife Surgery Targeting the Neurovascular Contact Complex in Management of Refractory Idiopathic Trigeminal Neuralgia: Outcome and Long Term Efficiency

1Department of Neurosurgery and gamma knife, Head of Gamma Knife Center -International Medical Center (IMC) Cairo, Egypt 2Department of Neurosurgery, Karolinska University Hospital Stockholm, Sweden 3Consultant Neurosurgery and Gamma knife-International Medical Center (IMC), Cairo, Egypt 4Consultant neurosurgery and Gamma Knife International Medical Center (IMC), Cairo, Egypt 5Consultant Neurosurgery at kobbry el koppa hospital, Cairo, Egypt 6Registrar Neurosurgery –International Medical Center (IMC), Cairo, Egypt *Address for Correspondence: Raef Farouk Ahmed Hafez, Department of Neurosurgery and Gamma Knife Center, International Medical Center (IMC), Cairo, Egypt, Fax: +2024774546; E-mail: raefhafez179@hotmail.com
Assessing Change of Direction Ability in Badminton Athletes

ABSTRACT THIS REVIEW PROVIDES A STOCK TAKE OF BADMINTON-SPECIFIC CHANGE OF DIRECTION (COD) RESEARCH AND PROVIDES RECOMMENDATIONS TO PRACTITIONERS FOR COD ASSESSMENT. THE REVIEW WILL EXAMINE RELATIONSHIPS BETWEEN COD AND THE FOLLOWING MEASURES: ANTHROPOMETRY, ELASTIC STRENGTH, CONCENTRIC STRENGTH, LEG MUSCLE IMBALANCES, TECHNIQUE, STRAIGHT-LINE SPRINT SPEED, AND FLEXIBILITY. A BADMINTON-SPECIFIC COD ASSESSMENT BATTERY IS PROPOSED WITH THE INCLUSION OF 2 NEW TESTS: A MULTIDIRECTIONAL LUNGE TEST AND A MULTIDIRECTIONAL CYCLIC COD TEST.
ISSN 2348 – 0319 International Journal of Innovative and Applied Research (2015), Volume 3, Issue (9): 9- 16

1 Laboratory of Microbiology and Biotechnology, National Center of Agronomic Research (CNRA) (Côte d’Ivoire). 2. Laboratory of Biotechnology and food Microbiology, Department of Sciences and food Technology, University Nangui Abrogoua (Côte D’ivoire). 3. Walloon Center of Industrial Biology (CWBI) Unit of Bio-Industries University of Liège Gembloux Agrobiotech, Belgium, Passage des Déportés. Abstract: Inhibitory effect of Pseudomonas fluorescens F19 against microorganisms responsible of tomato fruits (Lycopersicon esculentum Mill) spoilage was studied in vitro and in vivo. Fungi associated with fruit rot of tomato were isolated using standard Mycological techniques. The predominant fungi isolated were Geotrichum. Pathogenicity test revealed that Geotrichum were pathogenic on the healthy tomato fruits and have the potential to cause fungal diseases on tomato. The assessment of antifungal activity of Pseudomonas fluorescens F19 showed that, Geotrichum growth was inhibited in vitro on PDA medium by P.fluorescens F19 until 70%. Incidence of Geotrichum in tomato spoilage was reduced in vivo by P. fluorescens F19. The antifungal activity of this bacterial is ascribed to metabolites such as lytic enzymes, siderophores and volatiles compounds which confer antifungal activity to Pseudomonas fluorescens F19.
Comparison between Two Insulating Materials Used in House Wall System for Thermal Performance

Abstract For global warming and climatic change, the residential houses are used by the greenhouse gas which will consume more amount of fossil fuel energy. This energy is used for heating/cooling the house inside and some energy is waste or lost through the house wall. The modern house requires more space because of this energy efficient can reduce the dependency on fossil fuel at the same time the smart house wall systems are required to get better energy conservation. Here the study was considered on different climatic zones with all major cities. The objective of this study is to investigate and compare their performances with a conventional house envelope. The performance of heat loss through the wall has been evaluated using modeling software.
A Novel Efficient Pattern Matching Packet Inspection by using δ n FA

Deep packet Inspection is an advanced method of packet filtering that functions at the Application layer of the OSI reference model. Deep Packet Inspection is a form of computer network packet filtering that examines the data part of a packet as it passes an inspection point, searching for protocol ,viruses ,spam, intrusions or predefined criteria to decide if the packet can pass or it needs to be routed to a different destination, or for the purpose of collecting statistical information. Deterministic Finite Automata (DFAs), use large set of rules need a memory amount that turns out to be too large for practical implementation we have presented a new compressed representation for deterministic finite automata, called Delta Finite Automata. The algorithm considerably reduces the number of states and transitions, and it is based on the observation that most adjacent states share several common transitions, so it is convenient to store only the differences between them. In this paper we have presented an improvement to δFA that exploits the Nth-order dependence between states and further reduces the number of transitions by adopting the concept of temporary transition. This schema named as δ n FA. Both the schemes are orthogonal to most of the previous solutions, thus allowing for higher compression rates. A new encoding scheme for states has been also proposed (which we refer to as char state), which exploits the association of many states with a few input chars. Such a compression scheme can be efficiently integrated into δFA and δnFA, allowing a further memory reduction with a negligible increase in the state lookup time. The experimental runs have shown remarkable results in terms of lookup speed as well as the issue of excessive memory consumption.
Measurement of electron number density and electron temperature of laser-induced silver plasma

Silver (Ag) plasma generated by second harmonics (532 nm) using Nd:YAG laser has been investigated at 17.6 mJ and 88.6 mJ energy level. The excitation temperature was determined from the Boltzmann plot method of the transition (3D3  3P2) at 243.779 nm, ( 2S1/2  2P3/2) at 328.068 nm, ( 2S1/2  2P1/2) at 338.289 nm, ( 2P1/2  2D3/2) at 520.907 nm and (2P3/2  2D5/2) at 546.550 nm, while the Stark Broadening (SB) method was used to measure the Electron Number Density (END) of 2P3/2  2S1/2 at 827.351 nm transition. The spatial behavior of the END and Electron Temperature (ET) was measured at ambient air pressures at different energy level and distance ranging from 0-4.5 mm form the target metal. The ET’s were found to be varies from 17895 K to 10593 K, while END was found to be 2.229  10 to 6.44  10 cm and 1.76  10 to 1.893  10 cm for 17.6 mJ and 88.6 mJ energy, respectively. The relationship of END and ET found directly related to laser irradiance, while they were inverse to the distance from the target material surface to laser beam source.
Human Iris Recognition Based on Hybrid Technique

Iris recognition is a biometric technique that uses iris pattern information to detect person identification. Initially, the system find out the boundary of the pupil and iris. Then, Circular Hough transform used to find out the center of both pupil and iris in order to crop iris part from the eye image. After that, Daugman’s Rubber Sheet model utilized for performing the normalizing step. Then, features extracted based on Legendre moment and Local Quantized. Several orders value with many region of iris have been used to get best value, which satisfied the highest recognition rate. Matching was performed by City Block Distance. The simulation was carried out using samples from CASIA.v4-Interval database, the main tool for programming is MATLAB
Use of Organic Acids as Potential Feed Additives in Poultry Production

Research scientist at NIPH, Harper Adams University, Shropshire, TF10 8NB, United Kingdom Department of Poultry Science, Faculty of veterinary and Animal Sciences, PMAS-Arid Agriculture University Rawalpindi, Pakistan *Corresponding author`s Email: wmirza@harper-adams.ac. uk Received: 05Aug. 2016 Accepted: 02Sep. 2016 ABSTRACT Historically organic acids (OA) have been used by humans as natural food preservatives and hygiene promoters with regard to the microbial growth and to enhance freshness and shelf-life of edible food items. This characteristic of microbial growth inhibition of OA also makes them suitable replacement to antibiotic growth promoters in poultry. OA are chemically weak acids, which prevent or completely seize the proliferation and colonization of pathogenic bacteria in the intestine of birds. Thus, reducing the competition for the nutrients as well as production of harmful microbial metabolites. This in turn improves bird’s performance and enhances the specific and non-specific immunity by improving the bird’s intestinal epithelial layer. OA also help improving absorptive capacity of the intestinal cells by improving the cryptvillus structures as well as by improving the digestive secretions, thus influencing a boost in the digestion of proteins, carbohydrates and especially the minerals. This results in enhanced growth rate and feed efficiency in poultry. This comprehensive review about dynamics of OA revealed that this potential feed additive will be used as performance modifier in commercial poultry production, functioning as gut microbial modifier, immune modulator and nutrients digestion enhancer. This review updates the last decade's developments about OA in poultry production.
Review on Cluster Based Aggregate Key and Fine-Grained Index Searching Over Encrypted Cloud Data

- With the convenience of cloud environment such as, storage, sharing, searching etc. data owner promote their data over cloud in encrypted format for preserving privacy of it. Sensitive information is encrypted before outsourcing it on cloud which can further utilized by other users using traditional approach known as plaintext keyword searching. Considering the large number of data users and documents in the cloud, it is necessary to allow multiple keywords in the search request and return documents in the order of their relevance to these keywords. In previous system, single keyword or Boolean keyword search is provided over an encrypted data. Define MRSE (multi keyword ranked searching technique for efficient searching over an encrypted data). For efficient utilization of MRSE technique refers “co-ordinate matching”. In coordinate matching, multiple matches can possible by searching more relevant data documents to search query. As aggressive size increased in data documents searching phase reach to linear computational complexity. MRSE method can provide efficient search result than traditional search approach. As a part of contribution provide aggregate key searchable encryption on cloud stored data and also going to develop a practical and efficient multi-keyword search scheme which can support complicated logic search the mixed “AND”, “OR” and “NO” operations of keywords.
ISOLATION OF CLONE NODES AND BLACKHOLE NODES USING RISK AWARE MITIGATION

— Mobile Ad hoc Networks (MANET) has become an exciting and important technology in recent years because of the rapid proliferation of wireless devices. MANET is distinguished from other networks mainly by its self configuring and optimizing nature. Being the flexible network, MANET is exposed to various kinds of attacks especially the routing attacks. Attack prevention methods such as intrusion detection system, intrusion prevention, authentication and encryption can be used in defense for reducing certain attack possibilities. Intrusion detection system monitors and analyses the activities of the nodes and determines the performance with the security rules. An intrusion Response System will take further actions on recovering the affected services and reconfigure the system. Due to the continuous change in topology and an open vulnerable media network, achieving security in ad hoc networks is very difficult.
Design and Firing Control of Grid Connected Inverter

In grid interactive mode, inverter supplies the local loads and if the generated energy higher than the demand the excess energy is export to the grid. So battery groups are unneeded. On the other hand, control of the grid interactive inverter is more complex than the stand alone one. In this work, we have proposed a voltage controlled grid interactive inverters to control the export of power to the grid. We have used a conventional PI control strategies in grid interactive inverter applications. Acceptable performance will tried to achieve by using a PI controller designed to work around a determined operating point; thus giving a cost effective power solution to the society.
ECG Noise Sources and Various Noise Removal Techniques : A Survey Mr

Volume 5, Issue 2, February 2016 Page 86 ABSTRACT Heart disease is one of the major causes of deaths worldwide. It is an equal opportunity killer which claims million lives annually. Doctors use electrocardiogram (ECG) to detect abnormal heart rhythms and to investigate the cause of chest pains. This test detects and records the heart's electrical activity. An ECG is nothing but a record of the strength and timing information of electrical signals as they pass through the heart. A common problem in ECG interpretation is the removal of unwanted artifacts and noise. There are various artifacts which get added in these signals and change the original signal therefore the need to remove these artifacts from the original signal is significant. An ECG signal consists of very low frequency signals of about 0.5 Hz-100Hz and digital filters are very efficient for noise removal of such low frequency signals.Cardiac monitors are the devices which provide a means to filter the ECG recording. Methods of noise filtering have decisive influence on performance of all ECG signal processing systems. This paper is intended to review different noise sources associated with ECG signal acquisition and processing along with a brief survey of various methods implemented to reduce the same.
A NEW APPROACH OF FACE RECOGNITION USING DCT, PCA, AND NEURAL NETWORK IN MATLAB

: Face recognition is the most effective and natural technique to identify a person. This paper introduces a new technique to recognize human face artificially using DCT, PCA and SOM neural network. Principal component analysis (PCA) is a classical and successful method of dimension reduction. Discrete Cosine Transform (DCT) is a well known compression technique and Self Organize Map (SOM) act as a classifier and has been used for face space representation. The evaluation of the work is done in MATLAB by taking 16 images of 4 different people and each person has 4 diverse facial expressions. The main advantage of this technique is low computational requirement, high speed and better recognition rate
SCOPE OF IMPROVEMENT IN QUALITY OF DIAGNOSTIC IMAGES FOR PELVIC REGION

Medical imaging technique play a vital role in biomedical field. There are challenges in detecting problems of human-female pelvic region. Application of engineering in biomedical field particularly in diagnostic equipment becoming more and more sophisticated. For examining a patient, doctor needs clarity in images taken from diagnostic equipment’s like CT SCAN, MRI, & Ultrasound scanner. This paper highlights to have an improvement in the quality of diagnostic images. Keywords—Cervix Lesions, Ovaries, Spatial domain, Ultrasound