Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Zeolite Dietary Supplementation on Physiological Responses and Production of Laying Hens Drinking Saline Well Water in South Sinai.

This study conducted to investigate the effects of dietary zeolite on egg production, egg quality and blood constituents of hens under drinking saline well water. 180 hens were randomly divided into six equal groups (30 hens / group). 1 group (T), hens drank tap water and fed basal diet. The 2 group (T1), hens drank tap water and fed diet containing 2 % zeolite. The 3 group (T2), hens drank tap water and fed diet containing 4 % zeolite. 4 group (S), hens drank saline well water and fed basal diet. 5 group (S1), hens drank saline well water and fed diet containing 2 % zeolite. 6 group (S2), hens drank saline well water and fed diet containing 4 % zeolite. Red blood cells and hemoglobin were significant lower in the hens of S compared to other treatments. Hens of S group showed significant decrease in total protein, globulin, glucose and total antioxidant capacity concentrations as compared to the hens of T and T2 groups. Alanine transaminase, aspartic transaminase and creatinine were significantly increased in the hens of S group compared to other treatments. Aldosterone hormone was significantly decreased in the hens of S compared to them in T, T1 and T2 groups. Egg weight significantly increased in the hens of S2 compared with hens in T and S groups. Egg number and egg mass were significant increase in the T1, T2 and S2 compared to hens in T, S and S1 groups. Hens of T1, T2 and S2 groups had significantly improved feed conversion compared to hens of S group. Hens of S group had significantly decreased shell thickness compared to other treatments. In conclusion, under drinking saline well water, addition of zeolite to laying hens' diets at levels 4 % might improve productive performance and eggshell quality.
An Improved Image Denoising Using Non-Local Means Algorithm

During acquistion, transmission and retrieval from storage images are corrupted with noise. In digital images the requirement for effcient image de-noising techniques has developed with the simple procedure. For researchers it is challenging task for removing noise from images. This paper presents a review of some significant work in the area of image denoising. After a brief introduction, some prevalent methodologies are characterized into various gatherings and a review of different calculations and examination is given. Bits of knowledge and potential future patterns in the territory of denoising are additionally talked about. Images denoising methods are divided into two types local and non local in local methods only exploit the spatial redundace in images. Estimation of pixel intensity based on information provided from the image and thereby utlizing the similar patters and features in images this method referred as Non local. A Non local means filter alogrithm is Non local method which estimates a noise free pixel intensity as a wegihted average of all pixel intensities in the image, and the weights are proporional to the similar between the local neighbourhood of the pixel being processed and local neighbourhoods of surrounding pixels. The method is quite spontaneous and powerul that results in comparable PSNR and visual qualit to other non-local methods.
ANALYTICAL STUDY OF DEDICATED NETWORK FOR IOT USING LoRaWAN TECHNOLOGIES

- The Internet of things (IoT) is invasive our lives by connecting encompassing human things to the internet. In this paper, we've got an inclination to addresses the long range wide area network (LoRaWAN) that pulls various attentions primarily by their ability to produce low-cost property to the low-power devices which are distributed over very huge geographical areas. LoRaWAN offers radio coverage over very huge area by approach of base stations and adapting transmission rates, transmission power, modulation, duty cycles, etc., such end-devices incur awfully low energy consumption due to their being connected.
Development and Evaluation of Sustained Release Microspheres of Glibenclamide by Emulsion Solvent Evaporat

Glibenclamide in oral conventional dosage form has the dosage regime of three times a day due to short elimination half-life of 3 hours [1,2]. The extended release single unit dosage form has the demerits of all and nothing effect, person to person variability and non-uniform drug release [2,3]. These complains certainly can be overcome by the sustained release multiunit dosage form like microspheres. The principal aim of the investigation undertaken was to develop a Multi-Particulate Drug Delivery System for non-insulin dependent diabetes mellitus drug, Glibenclamide. In the present investigation, microspheres were prepared using emulsion-solvent evaporation technique and Ethyl Cellulose N100 was used as a rate retardant polymer. Ethyl Cellulose N100 is a water insoluble polymer which is widely used as a wall material for controlled release microparticles. This is due to its biocompatibility, good stability, easy fabrication and low cost.
Study of Nutrition Status of Population in Georgia

Globally, micronutrient deficiencies affects approximately 2 billion people. Major morbidity and mortality are associated with vulnerable populations notably children under five and pregnant woman. Major micronutrient deficiencies include iron, folate and iodine [1]. In 2013, iron deficiency anemia affects 27% of the world’s population. More than 89% of the burden comprises low income countries. Iron-deficiency anemia causes more than 60% of anemia in the general population. Children under five and women of reproductive age are particularly vulnerable by anemia, which occurs when red blood cells are below the normal level.
EVALUATION OF SOME INORGANIC ELEMENTS IN THE SERUM AND SEMINAL PLASMA OF MALE PATIENTS WITH TYPE 2 DIABETES MELLITUS AND ITS RELATION TO MALE INFERTILITY STATUS Sura

This study was conducted on 55 type 2 diabetic patients presented with infertility and 44 apparently healthy subjects is to evaluate the status of some inorganic elements (zinc, copper, magnesium) in the serum and seminal plasma of diabetic male patients presented with infertility and to assess any possible contribution of the imbalance of these elements on male infertility. The results showed (P<0.01) a significant decrease in the mean of serum zinc (0.059±0.009 mg/dl), and seminal plasma zinc (1.2±0.25 mg/dl) in diabetic infertile subjects compared to healthy controls (0.085±0.005 mg/dl) (2.62±0.44mg/dl) respectively. While a significant (P<0.01) elevation of serum copper (0.171±0.014 mg/dl), and seminal plasma copper (0.25±0.05 mg/dl) were found in diabetic infertile subjects compared to healthy non diabetics (0.118±0.01 mg/dl) (0.15±0.04 mg/dl) respectively. A significant (P<0.01) decrease in the serum magnesium (1.6±0.2 mg/dl), and seminal plasma magnesium (3.7±1.7 mg/dl) were found in diabetic infertile subjects compared to healthy controls (2.0±0.1 mg/dl) (5.5±1.2 mg/dl) respectively.The results of this study indicate that the homeostasis of some inorganic elements may disturb in metabolic disorders such as type2 diabetes and alternation in these elements levels in human body could have an adverse effect on male reproductive function.
Reduced Current Harmonics 7 Level ANPC Inverter Using Novel Space Vector PWM

A two-level inverter is one of the widely used multilevel inverter topology for average voltage, high power applications. In this project we proposed 7L-ANPC inverter are operate at fundamental frequency A novel space vector pulse width modulation (SVPWM) scheme for tumbling the common-mode voltage (CMV) in the three-phase seven-level lively neutral-point clamped (7L-ANPC) inverter for the machine drive systems is proposed. This PWM scheme can significantly reduce the common-mode voltage without the augment of switching loss and total harmonic distortion (THD) of the output voltages compared with the conventional one To investigate relationship between the average neutral-point current and zero sequence voltage An finest zero-sequence voltage is calculated to regulate the neutral-point potential. The voltage across the flying capacitor is too regulated by adjusting the switching duty cycles. The DC-link capacitor and flying capacitor voltages can also be restricted for balancing. Each switching period operation time of redundant switch states are varied
Design of Trust Aware Routing Framework

The multi-hop routing in wireless sensor networks (WSNs) offers little protection against identity deception through replaying routing information. An adversary can exploit this defect to launch various harmful or even devastating attacks against the routing protocols, including sinkhole attacks, wormhole attacks and Sybil attacks. Traditional cryptographic techniques or efforts at developing trust-aware routing protocols do not effectively address this severe problem. To secure the WSNs against adversaries misdirecting the multi-hop routing, we have design and implemented TARF, a robust trust-aware routing framework for dynamic WSNs.TARF provides trustworthy and energy-efficient route. Most importantly, TARF proves effective against those harmful attacks developed out of identity deception; the resilience of TARF is verified through extensive evaluation with both simulation and empirical experiments on large-scale WSNs under various scenarios including mobile and RF-shielding network conditions.
INVESTIGATION OF CERTAIN BLOOD PARAMETERS IN RAINBOW TROUT (Oncorhynchus mykiss Walbaum, 1792) NATURALLY INFECTED WITH Lactococcus garvieae

In a commercial rainbow trout farm located in the Aegean region, an outbreak characterized with haemorrhages in the eyes and fins, uni/bi lateral exophthalmia and darkening of skin was observed. Ten samples each were taken from clinically symptomatic fish and from healthy fish kept in a seperate ponds and these fish were grouped and marked as Diseased (D1-10) and Control (C1-10), this was followed by bacteriological examinations. Pathogenic bacteria was not isolated from asymptomatic fish but Lactococcus garvieae was isolated and identified with conventional and molecular methods from all clinically symptomatic fish samples. Along with bacteriological examinations, blood samples of both groups were analyzed for certain parameters with a automated blood count device calibrated for fish blood. As a result of the analyses; values for White Blood Cell (WBC), Red Blood Cell (RBC), Haemoglobin (Hb), Platelet Total (PLT), Mean Platelet Volume (MPV) and Platelet Distribution Width (PDW) in the diseased group were found to be lower than the control group (p<0.01, p<0.001)
Modelling and Characterization of OFDM Based Modelling and Characterization of OFDM Based Optical Communication

The thesis concept focuses on the implementation of an orthogonal frequency division multiplexing based free space optical communication system. OFDM based FSO is a novel technique in the areas of optical wireless communication system. This system is modelled and characterized using MATLAB software. The FSO system analysis for two specific cases of modulation techniques such as M-ary phase shift keying and rectangular quadrature amplitude modulation has been modified by incorporating the adaptive technique. The adaptive schemes offer efficient utilization of optical wireless communication channel capacity by adapting the modulation order according to the received signal-to-noise ratio and a pre-defined target bit-error rate requirement. The improved spectral efficiency can be achieved by the adaptive systems without increasing the transmitter power. To enhance the performance of subcarrier intensity modulation based free space optical communication, OFDM technique is employed under Gamma-Gamma turbulence using M-PSK and R-QAM.
A Survey on Anonymous Publication of Data

Data publication is one of major issue for organizations such as hospitals that publish detailed data about individual's e. g. medical records for research or analysis purpose. However, sensitive personal information may be disclosed in this process, due to the existence of data such as zip code, age etc. so in the data publishing privacy will be provided for data at different levels. There are different approaches that are used in data publishing. Data anonymization is one of the approach that modified original data before being publishes. In this paper, we analyze data publishing, anonymization approaches and operations that is used for publication of data for data mining task.
Analysis of Software Fault and Defect Prediction by Fuzzy C-Means Clustering and Adaptive Neuro Fuzzy C-Means Clustering

— Faults are related to failures and they do not have much power for indicating a higher quality or a better system above the baseline that the end-users expect.The system faults are the defects that brim in executable files. Conventional approaches employ the experts to navigate directly into the source code errors. However expansion in system size grew the complexity of task exponentially and generated a scope for new methods in fault classification.Experimental studies have shown that miniature bugs are reason of faults. In a considerable size of system the faulty labels and non-faulty labels are marked during modular phase. This paper presents the adaptive-neuro fuzzy c-means clustering for fault classification via fuzzy c-means clustering.Experimental studies confirmed that only a small portion of software modules cause faults in software systems.The NASA pc1 database is used for experiments and the results in this approach is enhanced than previous clustering based approaches.
PSO Technique for Solving the Economic Dispatch Problem Considering the Generator Constraints

By economic dispatch means, to find the generation of the different units in a plant so that the total fuel cost is minimum and at same time the total demand and losses at any instant must be met by the total generation. The classical optimizations of continuous functions have been considered. Various factors like optimal dispatch, total cost, incremental cost of delivered power, total system losses, loss coefficients and absolute value of the real power mismatch are evaluated for a simple system by hand calculation. The MATLAB programs were developed to solve Economic Load Dispatch Problem of an n-unit Plant through lambda iterative method and Particle Swarm Optimization
Association between Human Papillomavirus Infection and Cytological Abnormalities in Young Female University Students in Central Brazil

Background: Human papillomavirus (HPV) genital infection is the most common sexually transmitted infection and is acquired when sexual activity begins. Objective: This study was to evaluate the prevalence and the association between infection with HPV and cytological abnormalities in young female university students in Central Brazil. This study included 200 cervical samples obtained from female university students aged from 18-25 years. Methods: All specimens were assessed by conventional cytology and tested for 37 HPV genotypes, by using LINEAR ARRAY® HPV Genotyping Test. Results: HPV-DNA was detected in 94 of 200 female university students (47%). Cytological abnormalities were detected in 8.7% (17/196) of all satisfactory cervical smears. The results were confirming for Papanicolaou and documented by photomicrographs. HPV 16 was the most commonly detected type in all of cases without cytological abnormalities, followed by HPV 31, 52, 35 and 58. Fifty percent of female university students with a cytological result of LSIL were positive for HPV 16. Other types such as HPV 31, 35, 52 and 58 were detected in cases of ASC-US and
Evaluation of fiber dispersion of PVA-ECC

The fiber dispersion performance in fiber-reinforced cementitious composites is a crucial factor with respect to achieving desired mechanical performance. However, evaluation of the fiber dispersion performance in the composite PVA-ECC (Polyvinyl alcohol-Engineered Cementitious Composite) is extremely challenging because of the low contrast of PVA fibers with the cement-based matrix. In the present work, an enhanced image processing technique including more detailed classification of types of fibers and adaptation of a morphological reconstruction, the fiber detection performance is enhanced. Test results using artificial and real fiber images showed that a distribution coefficient α f , referred to as the fiber dispersion coefficient was calculated reasonably and the fiber detection performance was enhanced.
Review of Different Techniques Used For Android Application Security

Since last-decade, smart-phones have gained widespread usage. Mobile devices store personal details such as contacts and text messages. Due to this extensive growth, smart-phones are attracted towards cyber-criminals. In this research work, we have done a systematic review of the terms related to malware detection algorithms and have also summarized behavioral description of some known mobile malwares in tabular form. After careful solicitation of all the possible methods and algorithms for detection of mobile-based malwares, we give some recommendations for designing future malware detection algorithm by considering computational complexity and detection ration of mobile malwares.
A Survey of Trust Based AODV Routing Protocols in MANETS

— Mobile Adhoc Networks are type of wireless network which are infrastructure less, self organizing, highly mobile and quickly deployable. There is no central authority, the communication occur hop by hop based on cooperation among the nodes. Thus, secure routing protocols are needed which are robust and ensure that the nodes in the network behave in trustworthy manner otherwise detect and eliminate the untrustworthy nodes which degrade the overall network performance. There are several trust based AODV routing protocols given in the past. In this paper, we have given a survey of trust based AODV, in which concept of TRUST is used to ensure secure routing and improved network performance.
Performance Improvement of Human Voice Recognition System using Gaussian Mixture Model

: The voice recognition system is most prominent technique of identification of human voice. This is used for security purposes. Recent research concentrates on developing systems that would be much more robust against variability in environment, speaker and language. Hence today’s researches mainly focus on ASR systems with a large vocabulary that support speaker independent operation with continuous speech in different languages. The performance of Speaker recognition systems has improved due to recent advances in speech processing techniques but there is still need of improvement. In this paper we present the recognition performance of numeric digits and speech alphabets. The Gaussian mixture model is used for classification of the speech signal. To improve, we use hybrid concentration of Mel Frequency Cepstral Coefficients (MFCC) and Linear predictive coding (LPC). The entire coding was done in MATLAB and the system was tested for its reliability.
Optimal Quantum Measurement Design on Speech Signal: Blind Minimax Estimator Improving MSE Over LS Estimators

— We consider the problem of estimating an unknown, deterministic speech signal parameters based on quantum measurements corrupted by white Gaussian noise. We design and analyze blind minimax estimator (BME), which consist of a bounded parameter set. Using minimax estimator, the parameter set is itself estimated from quantum measurements. Thus, our approach does not require any prior knowledge of bounded parameters, and the designed estimator can be applied to any linear regression problem. We demonstrate analytically that the BMEs strictly dominate the least-square (LS) estimator, i
Development of antipodal Vivaldi antenna for microwave brain stroke imaging system

In recent years, Microwave Imaging (MWI) has offered an effective solution in medical applications, especially in detecting abnormal body tissues in the human brain. Among the popular detection methods currently being used in hospitals are Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) scans. But the constraints faced by this method include the high cost of equipment and its large size and static nature. In this article, the antipodal Vivaldi antenna for the microwave brain stroke imaging system is designed and presented. Nine antipodal Vivaldi antennas were proposed and designed using Computer Simulation Technology (CST) software operating from 2.06 GHz to 2.61 GHz. A Radio Frequency (RF) switch was used to enable the antenna sequentially received the backscattered signal from the head phantom. Then, MATLAB software was used to interface between the Python algorithm and the Vector Network Analyzer (VNA) for the purpose of data collection. The Python algorithm was able to control the rotation of the platform, which rotated in 50 positions. The fabricated antennas are based on a Rogers RO4350B substrate and show good agreement between the measured result and simulated result. The designed antennas were able to achieve 86.92% average efficiency, 2.45 dBi gain and stable radiation directivity. Finally, from the variation of the color in color plot, a target structure was successfully detected.
Cascaded KNN-BPN for Classification of Ears based on Shape Measures for Person Identification

In this paper, a method to recognize persons using ear biometrics has been proposed. The recognition is through classification of Ears rendered conjointly by KNN and back propagation neural network. For this purpose, features of the Ear signifying its shape have been considered. To avail these features from 604 ear images, they were considered to be planar surfaces. Planar surface properties like the distribution of area, moment of inertia (MI) with respect to longest axis and MI with respect to an axis orthogonal to long axis and respective radii of gyration have been considered. KNN assisted BPN was able to categorize the ears into three distinct groups. The classification based person identification system showed an average recognition accuracy of 90%. The other metrics like entropy, purity, precession, recall and f-measure showed a comparatively high value which is suggestive of adequate performance.