Miracle-dz/UniFAR-FTUs huggingface dataset:
A Survey on Speech Enhancement Techniques

: Speech is the best way to express one’s thoughts. The better quality of speech helps in better communication. Speech enhancement is the method to improve the quality of speech by using algorithms. The main aim of the speech enhancement techniques is to provide noiseless communication. This paper discusses the various methods used for improving the quality of speech.
Heroin (Opioid) Treatment

Heroin is one of the derivative of morphine and also an opioid mu receptor agonist that was earlier presented as a non-addictive medication. Buprenorphine was accepted by the Food and Drug Administration (FDA) for the management of heroin withdrawal symptoms. Buprenorphine is considered as a partial mu agonist and also a secure drug with low chance of toxicity and overdose [1]. For the therapy of heroin dependence, buprenorphine is more useful than methadone [2-4]. Investigators such as Johnson, Jaffe, and Fudaladescribed that 8mg of sublingualbuprenorphine per day is equal to 60mg of methadone considering retention rates and opioids negative urines as well [5]. Buprenorphinecan diminish the incidence of HIV and other connected disorders following opioidsconsumption [1,6-8].
Molecular analysis of G202010A mutation in factor II of blood coagulation and its relationship with polymorphism rs5030737 of MBL gene in recurrent pregnancy loss

Purpose: Miscarriage means ending a pregnancy at any stage of the fetus. Recurrent pregnancy loss is defined as two or more loss of pregnancy to be detected continuous or discontinuous before the twentieth week of pregnancy.Mutations in the gene for coagulation factor IIand MBL gene can be involved in miscarriage. Hence, according to importance of this issue, the purpose of this study is to investigate G20210A mutation of coagulation factor IIand its relationship with polymorphism rs5030737 of MBL gene to evaluate on-time diagnosis and treatment of miscarriage. Method: in order to conduct the study, 41 patients with history of miscarriage and 48 healthy women with successful delivery were selected. A questionnaire was fulfilled by them to insert comprehensive information including history of miscarriage, history of miscarriage among relatives, age, weight, blood type, type of marriage and smoking. Then, blood sample of every one was taken. The blood samples were transferred to the laboratory and after extraction of DNA from each of samples, G20210A mutation in coagulation factor IIandtype of polymorphism rs5030737 in MBL gene was determined using PCR method. Finally, analysis of the results and assessment of other important and effective factors in them was done using Epi Info software and using chi square (X) test. Results: among the patients, frequency of patients with one miscarriage was determined to 29.25%; frequency of patients with two miscarriages to 58.85% and frequency of patients with 3 miscarriages was obtained to 4.9%. In regard with assessing G20210A mutation in coagulation factor II, frequency percent ofheterozygous or carriers were equal to 7.3% among patients and to 2.1% for healthy individuals. Among them, frequency of available genotypes included GG: 92.6%; GA: 7.3%, AA: 0 in patient group and GG: 97.9%, GA: 2.1% and AA: 0 in healthy individuals. On the other hand, frequency of types of polymorphism of MBL included BB: 17%; AB: 22% and AA: 61% in patients group and BB: 4.1%; AB: 31.3% and AA: 64.6% in healthy individuals. Statistical analysis of frequency of types of genotype of G20210A mutation and types of alleles of polymorphism rs5030737 in MBL gene has not been significant statistically between two patient group and control group in level of p=0.05; although the opportunity to have miscarriage in GA genotype and BB allele is to 3-4 times more than control group. In general, two factors of G20210A mutation and MBL polymorphism have not affected each other infirst trimester miscarriages and can't empower each other at the same time for recurrent pregnancy loss.
A Filtering Approach to Clean EEG Signal Based on EMD-DF to Improve Classification Accuracy during Hands Movement

In this research, we present a filtering method for cleaning the EEG signal based on empirical mode decomposition (EMD) to enhance classification accuracy associated with upper limb real movement. In our method, we decompose each channel of EEG signals into a set of IMFs using EMD. We select or reject IMFs based on a calculation of dominant frequency of every IMF. In this procedure, we reject some IMFs whose dominant frequency greater than 30Hz. After reconstruction of the signal, we apply common spatial patterns to reduce the dimension as well as find out features of the signal and then we use support vector machines to classify left hand and right hand movement. Our paper demonstrates that the proposed method successfully extract features from row EEG signal that carries more information by filter out irrelative information. Our method tested on a publicly available dataset and obtained a significantly better performance.
PROJECTION MULTI SCALE HASHING KEYWORD SEARCH IN MULTIDIMENSIONAL DATASETS

: Keyword-based search in text-rich multi-dimensional datasets facilitates many novel applications and tools. In this paper, we consider objects that are tagged with keywords and are embedded in a vector space. For these datasets, we study queries that ask for the tightest groups of points satisfying a given set of keywords. We propose a novel method called ProMiSH (Projection and Multi Scale Hashing) that uses random projection and hash-based index structures
Optimized Rapid Data Collection in Tree Based WSN

— Fast and energy efficient data collection in an energy constraint ad-hoc sensor network is always a challenging issue. The network topology and interferences causes significant effects on data collection and hence on sensors’ energy usage. Various approaches using single channel, multichannel and convergecasting had already been proposed. Here in this paper we have shown data collection performance using multi-frequency in channel assignment, and effect of network topology, for moderate size networks of about 50-100 nodes. For the study we have used some realistic simulation models under many-to-one communication paradigm called convergecast, a single frequency channel and TDMA technique to have minimum time slots for convergecasting.
The Influence of Leadership Styles on Employees Engagement: a Case Study from Albanian Bank Sector

Employee engagement plays a crucial role in the work environment. It impacts on their behaviours, attitudes, performance, productivity, turnover, business outcomes etc. Based on this critical importance, the conducted study will provide insight on follower engagement and highlight the impact of leadership styles. It will examine the effects of transactional and transformational leadership on employees’ engagement. Leadership is not the only driver of employee management but studies have shown that it is a key antecedent of engagement. Leaders should pay attention to their behaviour and their leadership style. This study tried to link the leader’s behaviours and follower engagement. The study sample comprised of 53 employees from a second level bank in Albania. The study recommends that leaders should be aware that transformational style is important and implement it.
Novel approach to Adaptive Extraction of Standing Human Contour from Image

: Extraction of standing Human contour from image is challenging task that can facilitate numerous applications, like activity recognition, robot navigation. In this paper the approach to Extract standing Human Contour from Image is proposed. In this work we perform Face detection([5],[6]), than skin detection two color baseclassification usedto get optimized result, thanUpper Body Estimation and Lower Body Estimation is perform , followed by Upper Body Extraction and Lower Body Extraction, Than OR both Extraction to get human contour
A 14-bit Dual-Split Capacitor Array DAC Design Based Successive Approximation ADC

: For the application of Internet-of-Things (IoTs),a low power, medium resolution ADCs are needed for converting the front end analog signal. In this research work presents, a Successive Approximation Register-Analog-to-Digital (SAR-ADC) design with minimum Capacitive Array Digital-to-Analog converter. Here, a novel Dual-Split-Three-Section (DSTS) capacitor array DAC (DSTS-CDAC) has been proposed to perform 14-bit SAR-ADC function while retaining Signal-to-Noise Destruction Ratio (SNDR) of 69.7dB for the ADC. The use of monotonic switching scheme exhibited reduced capacitive array power consumption for 14-bits CDAC. Furthermore, it requires 185 times unit capacitances on contrary to the conventional SAR-ADC designs, which requires 256 times unit capacitances in a capacitive array. A significant reduction of 28% area too applauds proposed design for low cost CMOS development. Also, in this paper, the linearity performances are theoretically analysed and behavioural simulations are performed. These values are comparable to the conventional method and found to be improved. This design uses 1.5V supply and 100kSps sampling frequency. Moreover, the design is made fully differential, thereby reducing the noise parameter to a considerable extent
Seminal plasma oxidant–antioxidant imbalance is a dominant feature of primary idiopathic infertile male smokers

Background: Although, reactive oxygen species may induce defective semen quality, some authors denied such association. Objectives: To assess seminal plasma oxidant – antioxidant status in tobacco smoking men. Patients and methods: Semen samples were obtained from: (a) 30 tobacco smoker married men and (b) 30 strict non-smoker married men. Half of each group was primary infertile. Their semen samples presented nonleuko and nonhemo-cytospermia. After liquefaction, semen samples were analyzed for: (i) convential semen parameters by a computer assisted semen analyzer. ii) Seminal plasma oxidant-antioxidant status including: the lipid peroxidation (LPO) index [malondialdehyde (MDA)], and various antioxidants [α tocopherol, vitamin C, superoxide dismutase (SOD) and reduced glutathione (GSH)]. Results: In seminal plasma, mean MDA concentration was significantly higher in fertile or infertile tobacco smokers than the corresponding of the non-smokers (p<0.001) but more marked in the infertile cases. Enhanced LPO of sperm plasma membranes induced decrease of sperm motility and viability %. Whereas, the antioxidants α tocopherol, ascorbic acid, SOD and GSH concentrations in seminal plasma were significantly decreased in infertile or fertile smokers than the corresponding in the nonsmokers (P<0.01) but more in the infertile cases. There were significant negative correlations of basic semen parameters in cigarette smokers with the seminal plasma MDA concentrations and significant positive correlations between sperm motility and viability% and different seminal plasma antioxidant levels. Conclusion: Insufficient scavenging antioxidants in seminal plasma of chronic heavy smoking men could underly the deleterious spermatozoal quality and function defects and consequently male infertility. [Sherif El-Kannishy; Soma Sh Abd El Gawad; Ibrahim Abdelaal, Abdelhamid A Metwaly, Samia A Hassan and Tarek A Shokeir: Seminal plasma oxidant–antioxidant imbalance is a dominant feature of primary idiopathic infertile male smokers. Report and Opinion 2011;3(5):59-65]. (ISSN: 1553-9873). http://www.sciencepub. net.
An Evident Theoretic Feature Selection Approach for Text Categorization

-With the exponential growth of textual documents available in unstructured form on the Internet, feature selection approaches are increasingly significant for the preprocessing of textual documents for automatic text categorization. Feature selection, which focuses on identifying relevant and informative features, can help reduce the computational cost of processing voluminous amounts of data as well as increase the effectiveness for the subsequent text categorization tasks. In this paper, we propose a new evident theoretic feature selection approach for text categorization based on transferable belief model (TBM). An evaluation on the performance of the proposed evident theoretic feature selection approach on benchmark dataset is also presented. We empirically show the effectiveness of our approach in outperforming the traditional feature selection methods using two standard benchmark datasets.
BOXIN – AN ICHTHYOTOXIC PROTEIN FROM BOXFISHES

The occurrence of toxic proteins in various sources like microorganisms, snake venoms, fish venoms etc have created an intense curiosity and formulation of research to study them. Boxin is one such toxic protein that is less widely known and appreciated. Boxin is a stable, heat and trypsin resistant toxic protein isolated from the crude defensive skin secretions of boxfishes by cold acetonic precipitation and RP-HPLC chromatography. The molecular weight of boxin is reported to be 18 kDa which is known from laser desorption induced time of flight mass spectrophotometry. Boxin has an UV absorbance at 254 nm and 280 nm. In ichthyotoxic front, boxin is 33 times more potent than pahutoxin, which is associated with boxin in the skin secretions. Boxin is known to be the representative of protein fractions found in the toxic mucus of boxfishes. It contributes about 3% of the total ichthyotoxicity to the skin secretion. Apart from boxin, the other protein fractions in the secretions are chemically distinct entities which are reported to be the enhancers of ichthyotoxicity and chelators of pahutoxin performing allomonal roles in the marine environments, due to their high chemical stability and protein nature which ensures them resistance in harmful environments and solubility in sea water. In short, these proteins are ideal candidates which can replace other allomones for cooperative interactions with functional significance.
Lexical normalization of roman Urdu text

Summary Social media text usually comprises of short length messages, which typically contain a high percentage of abbreviations, typos, phonetic substitutions and other informal ways of writing. The inconsistent manner of text representation poses challenges in performing Natural Language Processing and other forms of analysis on the available data. Therefore, to overcome these issues the text requires to be normalized for effective processing and analysis. In this work, we have performed a comparative study of how social media text in different languages like Chinese, Arabic, Japanese, Polish, Bangla, Dutch and Roman Urdu has been normalized to achieve consistency. We have discussed in detail the normalization methods proposed, their success rate and their shortcomings. Based on our analysis we have also proposed a model for achieving lexical normalization of text in Roman Urdu.
Eye Gaze Tracking System Using .Net

-This paper addresses the eye gaze tracking problem using a low-cost and more convenient web camera in a desktop environment, as opposed to gaze tracking techniques requiring specific hardware, e.g., infrared high-resolution camera and infrared light sources, as well as a cumbersome calibration process. In the proposed method, we first track the human face in a real-time video sequence to extract the eye regions. Then, we combine intensity energy and edge strength to obtain the iris center and utilize the piecewise eye corner detector to detect the eye corner. We adopt a sinusoidal head model to simulate the 3-D head shape, and propose adaptive weighted facial features embedded in the pose from the orthography and scaling with iterations algorithm, whereby the head pose can be estimated. Finally, the eye gaze tracking is accomplished by integration of the eye vector and the head movement information. Experiments are performed to estimate the eye movement and head pose on the BioID dataset and pose dataset, respectively. In addition, experiments for gaze tracking are performed in real-time video sequences under a desktop environment. The proposed method is not sensitive to the light conditions. Experimental results show that our method achieves an average accuracy of around 1.28 ◦ without head movement and 2.27 ◦ with minor movement of the head.
Optimization of Klystron Cavity Using Dielectric Materials

Abstract This paper describes the effect of replacing some metal part with dielectric in the design of klystron cavity in order to reduce losses and improve general efficiency of the cavity resonators, this will also save large amount of power since klystron are Megawatt device. SUPERFISH modelling package was used in designing the dielectric klystron cavity, with a starting frequency of 1.2GHz. The findings have shown that a piece of dielectric material with stable temperature and with high permittivity can act as microwave resonator with even better Q-factor, shunt impedance (Rsh), Geometric shunt impedance(Rsh/Q), frequency etc.
MULTILAYER POWER REDUCTION ROUTING ALGORITHM IN WIRELESS ADHOC NETWORK

: This algorithm is to reduce the power consumption of ad hoc network. It is very difficult to apply power reduction of packet sending; because rational use of power control in routing protocols can not only reduce network energy consumption but also improve network throughput, packet delivery ratio and other performance of ad hoc networks. In this paper, we propose an on-demand routing algorithm based on cross-layer power control termed as MPRAODV (Multilayer Power Reduction Ad hoc On-demand Distance Vector). This algorithm builds different routing entries according to the node power levels on demand, and selects the minimum power level routing for data delivery. This algorithm is so called because it reduces the power requirements of network layer as well as MAC layer. In addition, MPRAODV uses different power control policies to transmit data packets, as well as control packets of network layer and MAC layer. Simulation results show that our algorithm can not only reduce the average communication energy consumption, thus prolong the network lifetime, but also improve average end-to-end delay and packet delivery ratio.
A Coding based Approach to Load Flow Analysis using Krylov Subspace Methods for well conditioned systems

 Abstract — In this work, we propose to apply the conjugate gradient algorithm to the sparse systems; we encounter these in the system admittance matrices, and we will search for a numerical solution to this system using the locally optimal steepest descent method. The system admittance matrices for an IEEE 30-bus or 57-bus system(s) are too large to be handled by direct methods like the Cholesky decomposition method. Hence, we will make use of the flexible preconditioned conjugate-gradient method, which makes use of sophisticated preconditioners, leading to variable preconditioning that change between successive iterations. The Polak–Ribière formula, a highly efficient preconditioner, is applied to the system, to yield drastic improvements in convergence. Our experimental results include a comparison of the Krylov subspace method with traditional methods, assuming the IEEE five-busbar, seven-line reference system as the common basis for all load-flow analysis. The system base quantities are VA base = 100 MVA and V base = 132 kV. The results show an overall better assurance of convergence for all general systems, a lesser dependence on starting voltage profiles assumption and a robustness and efficiency of computation for well-conditioned systems.
TOXOPLASMOSIS: MATERNAL, PEDIATRIC, AND OCULAR – NEED FOR A CHANGE IN PREVALENCE

Toxoplasmosis is caused by Toxoplasma gondii, a common intracellular protozoan parasites of human and animals. Certain individuals are at high risk of infection that includes, congenitally, fetuses, newborns, and immunocompromised individuals. Toxoplasmosis encephalitis (TE), and chorioretinitis has been described T.gondii infects herbivorous, omnivorous and carnivorous animals. The sexual cycle of the parasites takes place in the small bowl of members of cat family. Infection in humans through ingestion of raw or undercooked meat or ingestion of contaminated water, food or vegetables Acute infection is diagnosed by isolation of T.gondii or amplification of its DNA in blood or body fluids; demonstration of tachyozoite by histologic ,cytologic methods and by serologic tests results. Treatment of toxoplasmosis is mainly by pyrimethamine, trimethoprim-sulfamethoxazole and spiramycin used in pregnant women, dosing and dosing regimen may not be the same in different clinical entities.
An Analysis of Factors Affected on Employees' Counterproductive Work Behavior: The Moderating Role of Job Burnout and Engagement

This research has been done with the purpose of investigating the effect of personality factors (conscientiousness, trait anger), job factors (skill variety, feedback) and organizational factors (distributive justice, organizational constraints) on employees’ counterproductive work behavior (CWB) and the moderating role of job burnout and work engagement. To do this research, some 185 individuals working in an Iranian Gas Transmission Operational Area have been randomly selected and the questionnaire has been filled out by them. The research model has been measured and performed by using structural equation modeling (SEM) analyses. The results of SEM showed that employees’ CWB have been strictly based on their job burnout. On the other hand, employees’ job burnout has been influenced by several elements such as skill variety, trait anger and organizational factors. Moreover, the research has shown that the employees’ engagement has not been affecting their counterproductive behavior; rather it is affected by their skills variety and conscientiousness. But, we found that there is no meaningful relationship among trait anger, distributive justice and organizational constraints with the employees’ engagement. [Mohammad Esmaeel Ansari, Shokoofeh Maleki V. , Shirin Mazraeh. An Analysis of Factors Affected on Employees' Counterproductive Work Behavior: The Moderating Role of Job Burnout and Engagement. J Am Sci 2013;9(1):350-359]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 53
Encrypted Query Processing for Improved Protection of Confidentiality

— A log is a collection of record of the events that occurs within an organization containing systems and networks. Logs are being composed of entries which are of its own syntax; each log entry has information that are related to a specific event which has been occurred inside a system or network. Actually, logs are used basically for problems like troubleshooting, but at present logs serve many functions almost in all organizations, for optimizing performance of the system and network, for recording all the actions of users, and for providing useful data for malicious activity investigation. Logs have been in use for containing information that are related to various forms of events that are occurring in the networks and systems. Inside an organization, there are much logs which do contain records that are related to the security of the system; some common examples of these computer security logs are logs that are related to audit that contains the track of user authentication attempts and logs of security device that record the possible types of attacks. In this paper, we focus on the challenges for a secure cloud-based log management service and do propose a framework for doing the above.