Miracle-dz/UniFAR-FTUs huggingface dataset:
FPGA Implementation of EEG Feature Extraction and Seizure Detection

Seizure is a chronic neurological disorder. Seizures are the result of transient and unexpected electrical disturbances in the brain. Seizure is more likely to occur in young children or people over the age of 65 years; however, it can occur at any age. The detection of seizure is possible by analyzing EEG (electroencephalogram) signals. The electroencephalogram (EEG) signal is very important in the diagnosis of seizure. Long-term EEG recordings of a seizure patient contain a huge amount of EEG data. The detection of seizure activity is, therefore, a very demanding process that requires a detailed analysis of the entire EEG data, usually performed by an expert. This paper describes an automated classification of EEG signals for the detection of seizures using wavelet transform and support vector machines. The decision making process consists of three main stages: (a) filtering operation by FIR filter, (b) feature extraction based on discrete wavelet transform (DWT) and (c) classification by support vector machines (SVM) classifiers. The proposed methodology is applied on EEG data sets that belong to two subject groups: a) healthy subjects and b) seizure subjects. Based on the data sets the boundaries of all the features are identified for the proper detection of the test signal. After processing all the data sets, the test signal is given to the system. Decision is made by comparing the features of the test signal with the maximum and minimum values of all the features of data sets. The EEG feature extraction and seizure detection system is verified by Verilog in ISim simulator and implemented on Xilinx Spartan6.
Earnings Manipulation and Prior Period Adjustment on Tax Aggressiveness. J. Educ. Manage. Stud., 4(1):01-05.;

In this study, the differences of opinions between CPAs working in audit firms who are the members of Iranian Association of Certified Public Accountants (IACPA) and analysts working in holding investment companies listed in Tehran Stock Exchange are investigated. For this purpose, the chi-square (X2) statistical test is used and the opinions and perspectives of 259 auditors from various professional levels and 259 analysts of holding investment companies are collected and analyzed. The results indicated a significant difference between the opinions of these two categories on CPAs selection method and their independence and impartiality, and therefore the difference of their opinions on clients’ performance impact and the role of regulations and standards on auditors’ independence were not confirmed. Auditors consider that the role of time budget pressure and their tax report effects are important which may circumscribe their independence, while for financial analysts, the role of professional rules and standards as well as auditors selection method are important and are significantly effective on auditors’ opinion.
Bifurcation Structures for Retinal Image Registration & Vessel Extraction

- Exact extraction of the blood vessels of the retina is an important task in computer-aided diagnosis of retinopathy. This paper describes the development of an automatic image processing fundus and the analytical system to facilitate the diagnosis. The algorithm for the detection of the optical disc, blood vessels and exudates are investigated. The optical disc is identified by the method of the Sobel edge detector and LSR in the candidate area. Blood vessels and exudates are extracted by the method of Kirsch in different color components of the color image of the fundus. The processing results of the implemented methods are also presented. This paper also presents a new structural feature based registration function in the retinal image. The point coincident conventional methods depend largely branching angles single branching point. The feature correspondence through two images may not be unique because of the angle values like. In view of this, the record matching structure is favored. The branch structure comprises a branch point and its three neighbors master connected. The feature vector of each branch structure consists normalized angle and length of branching, that is invariant against translation, rotation, scaling, and distortion and even modest. This may considerably reduce the ill-posed nature of the pairing process, provided that the vascular pattern may be segmented. The simplicity and efficiency of the proposed method make it easy to apply alone or incorporated with other existing methods for formulating a hybrid or hierarchy scheme.
Potential Antagonism Of Periopathogens: A Pilot Study To Decipher The Cryptic World Of Probiotics

Introduction: Several hypotheses have been proposed to elucidate the mechanism of action of probiotics. This study is aimed at validating these proposed hypotheses and in turn to determine the efficacy of three different commercially available probiotics and establish their plausible role as an adjunct to conventional periodontal therapy. Methods: Subgingival plaque samples from periodontitis patients were collected using sterile paper points. These samples were anaerobically cultured and growth inhibition of the periodontopathogens by probiotics was assessed using disc diffusion method. Additionally, plaque biofilm formation in presence of probiotics was examined using scanning electron microscope (SEM). Results: Evidence obtained in this in-vitro study validated two out of three hypotheses by which probiotics work. Validated hypotheses are 1) Probiotics adversely affecting growth of pathogens (by competitive inhibition) and 2) Probiotics actively limiting pathogens’ ability of adhesion, colonization and biofilm formation on tissue surfaces. Probiotics demonstrated antagonistic effects towards gramnegative periodontopathogens. Additionally SEM study revealed plaque biofilm inhibition in presence of probiotics. Conclusions: This in-vitro study indicated that growth of peridontopathogens can be restricted by probiotics and these observations corroborate the therapeutic potential of probiotics as an adjunct in treatment of periodontitis.
Biodegradation of Glyphosate by fungal strains isolated from herbicides polluted-soils in Riyadh area

Ashour Eman, Ahmed Abdel-Megeed, Al-Meshal Areej Suliman, M.W. Sadik, and Essam N. Sholkamy, Department of Botany and Microbiology, College of Science, King Saud University, P. O. Box 2455, Riyadh 11451, Saudi Arabia. Department of Biology, College of Science and Humanity Studies, Salman bin Abdulaziz University, P.O. Box 292 AlKharj 11942, Saudi Arabia Department of Microbiology, Faculty of Agriculture, Mansoura University, Egypt Department of Microbiology, Faculty of Agriculture, Cairo University, Giza 12613 Department Plant Protection, Faculty of Agriculture, (Saba Basha), Alexandria University, Egypt. *Corresponding author e-mail: eashour05@yahoo.com
A Review of Heuristics for Optimal Page Access Sequence with a Model for Spatial Queries

- Spatial Database Systems are very large databases requiring storage in disk devices. The join process between two relations that is based on spatial nature of the attributes needs repeated and redundant disk accesses. This necessitates the implementation of join index which accelerates the join processing between two relations and it incurs high over head. This work studies the heuristics that are being in use for join processing from the context of optimal page access of disk I/O and that of spatial join processing with join index. The study presents a summary of heuristics that are implemented for join processing of spatial relations. Spatial-Queries modeled with spatial statistical measures provide an indication of spatial clusters. This model with an appropriate clustering algorithm identifies clusters that would require page re-accesses. An Optimal Page Access Sequence can reduce the page re-accesses and thus bring down the I/O cost of the join process. The work evaluates the performance of the statistical measure Moran’s I to model spatial queries and identified to have a better performance than the existing measure Ripley’s K function.
Real-Time Detection of Traffic From Twitter Stream Analysis

Social networks have been recently employed as a source of information for event detection, with particular reference to road traffic congestion and car accidents. In this paper, we present a real-time monitoring system for traffic event detection from Twitter stream analysis. The system fetches tweets from Twitter according to several search criteria; processes tweets, by applying text mining techniques; and finally performs the classification of tweets. The aim is to assign the appropriate class label to each tweet, as related to a traffic event or not. The traffic detection system was employed for real-time monitoring of several areas of the Italian road network, allowing for detection of traffic events almost in real time, often before online traffic news web sites. We employed the support vector machine as a classification model, and we achieved an accuracy value of 95.75% by solving a binary classification problem (traffic versus nontraffic tweets). We were also able to discriminate if traffic is caused by an external event or not, by solving a multiclass classification problem and obtaining an accuracy value of 88.89%.
Analysis for Parallel Execution without Performing Hardware/Software Co-simulation

Hardware/software co-simulation improves the performance of embedded applications by executing the applications on a virtual platform before the actual hardware is available in silicon. However, the virtual platform of the target architecture is often not available during early stages of the embedded design flow. Consequently, analysis for parallel execution without performing hardware/software co-simulation is required. This article presents an analysis methodology for parallel execution of video encoding applications targeting heterogeneous reconfigurable architectures without performing HW/SW co-simulation. We formulate the application performance on the target architecture with an equation. The equation shows the overhead factors that reduces the speedup of parallel execution. H264 video encoding application is taken as a case study.
Changes during the Recovery of Crystal Defects in : Laser Damaged Fe

Using magnetic measurements, the behavior of structural changes induced by annealing out of quenched in vacancies in ordered Fe50Ni50 alloy (LI2) type structure. The observed increase in magnetic permeability with increasing quenching temperature (450 > Tq > 650 o C) was attributed to the increase in the total number of mobile domain walls due to the reduction in the density of pinning sites in the alloy matrix . On the other hand, the influence of quenching from different temperatures on the magnetic anisotropy was attributed to the increase in the internal microstress in the alloy matrix by successive pre-quenching from different temperatures. The isochronal annealing of quenched samples in the temperature range from 325 to 500 o C (stage I) revealed a decrease in the maximum permeability during annealing, and was attributed to the shortrange order caused by the longrange migration of quenched-induced defects. The second annealing stage appearing in the temperature range from 500 to 700 o C is associated with an increase in μmax due to the dissociation of vacancy clusters or complex aggregates formed during (stage I) or after quenching treatment, resulting in a release of free monovacancies. The determined activation energy for vacancy formation (1.67 ± 0.01 eV) has the same order of magnitude as that required for Fe and Ni alloy. The recovery stage in the temperature range from 700 to 800 o C (stage III) appears only in cold-worked samples was attributed to the recovery process of dislocations during the recrystalization process.
FACTOR STRUCTURE OF THE SCALE OF EVALUATION OF BODY DISSATISFACTION FOR ADOLESCENTS (EEICA) AMONG STUDENTS FROM SLOVAKIA, HUNGARY AND LITHUANIA

Lucia Hricová, Pavol Jozef Safarik University in Košice, Slovak Republic, Faculty of Arts, Department of Educational Psychology and Health Psychology, lucia.hricova@upjs.sk Oľga Orosová, Pavol Jozef Safarik University in Košice, Slovak Republic, Faculty of Arts, Department of Educational Psychology and Health Psychology, olga.orosova@upjs.sk Beata Gajdošová, Pavol Jozef Safarik University in Košice, Slovak Republic, Faculty of Arts, Department of Educational Psychology and Health Psychology, beata.gajdosova1@upjs.sk
Distribution and Ecotoxicological Risk Assessment of Persistent Organic Pollutants (POPs) In River Sediments from Delhi, India

Persistent organochlorine pesticides (OCPs) like hexachlorocyclohexane (HCH), and dichlorodiphenyltrichloroethane (DDT) and polychlorinated biphenyls (PCBs) and their ecotoxicological risks were investigated in river bank sediments from Yamuna in Delhi, India. The concentration of HCH, DDT and PCBs ranges between 19.25-731.82 (208.17±20.66) ng g -1 , 80% of the PCBs contamination. Concentration of HCHs, DDT and PCBs did not exceed sediment quality guidelines with the exception of lindane which was above sediment guidelines as lindane formulation are registered in India for use in public health practices to control vector borne diseases. Keywords: Pesticides, POPs, HCH, DDT, PCBs, River Sediment, India
Isolated large atrial septal aneurysm and multiple cerebral infarcts: Is there any association?

An atrial septal aneurysm (ASA) is a thin, localized saccular deformity of the atrial septum that bulges into the right or left atrium. Diagnosis can be established using transthoracic (TTE) and transesophageal (TEE) echocardiography. Although these abnormalities are considered clinically benign entities, they have been independently associated with ischemic stroke. The case of a large atrial septal aneurysm in a patient with transient ischemic attack and previous undiagnosed cerebral infarcts is described in the present report.
Modelling and Simulation of Digital Frequency Relay for Generator Protection

Stability of system is one of the major issues of power system. Voltage, angle and frequency instability are the basic instability problems. After power system restructuring and the incorporation of distributed generation in power system, stability and protection coordination issues have become a centre of concern for power researchers. Frequency instability is the deviation of the frequency from its nominal value. Load shedding is the principle reason for frequency deviations in power system network. The large frequency variations could lead to complete power system blackout. History has seen several blackouts due to frequency instability, either due to supply-demand unbalance or N-1 contingency. Frequency relays are employed to detect and protect the system from frequency deviations. With distributed generators penetrating into the system and possible islanding issues, frequency relay has again gain the attention of the researchers and industrialists. The digital relay has superiority over electromechanical relay in terms of accuracy and speed. This dissertation presents the design and various data conversion steps of a digital frequency relay. The designed relay will cover both over and under frequency conditions. To validate the performance of proposed and studied digital frequency relay, extensive simulations under various conditions of steady state, transient , under frequency and upper frequency, are carried out in MATLAB/ Simulink environment.
EFFECT OF CROSS LINKING AGENT AND POLYMER ON THE CHARACTERISTICS OF OVALBUMIN LOADED ALGINATE MICROSPHERES

Objective: The aim of the present research was to investigate effect of polymer and cross linking agent on the characteristics of ovalbumin-loaded alginate microspheres. Ovalbumin was selected as a protein model antigen; barium chloride and calcium chloride were used as cross linking agent. Methods: Ionotropic gelation using aerosolisation and drop technique were applied in this study. The microspheres produce were characterized for the size, morphology, encapsulation efficiency, protein loading, yield and in vitro release. Release of the protein was also studied. Results: Ovalbumin-loaded alginate microspheres were successfully produced by aerosolisation with maximum encapsulation efficiency and loadings of about 89%. Smooth and spherical microspheres were shown for both alginate microspheres produced using Ca2+ and Ba2+ of the aerosolisation method with average sizes from 12 to 30μm. In case drop technique, bigger microspheres size was produced of around 1-3 mm. The in vitro release study revealed that protein release decreased by decreasing alginate concentration, whereas no significant differences of ovalbumin release by decreasing calcium chloride concentration. Interestingly, alginate microspheres produced using barium chloride resulted burst and faster release behaviour of ovalbumin in HCl pH 1.2 and PBS pH 7.4 release medium. Conclusion: This result suggested that modification of cross linking agent and polymer concentration were important for sustained release characteristics of ovalbumin-loaded alginate microspheres.
Study on Physiological Parameter Detection Systems

Heart disease and stroke are considered among the world’s leading causes of death and disability. The non-invasive technique for physiological parameter monitoring is required to overcome the limitations of the existing systems. As per the study and observations, photoplenthesmography (PPG) imaging technology can be used for capturing signals which contains pulsatile information. These signals can gives us many vital parameters such as heart rate, respiration rate, oxygen saturation level, heart rate variability, arterial fibrillation etc. These PPG signals contain noise due to motion artifacts. Motion artifact reduction results in better accuracy of final outcomes. In this paper, different PPG techniques and motion artifact reduction methods which have been used for estimation of some of the cardiovascular parameters are studied. Classification of the PPG data collection methods on the basis of some factors such as source of light, photo detector, skin part used, type of PPG used and extracted parameters etc. is carried out.
Hybrid DWT, DCT, Contourlet Transform and SVD for Digital Image Watermarking

: In this paper, a hybrid watermarking system is proposed to obtain high security to the images with high PSNR. Using various transforms and their combinations the hybrid watermarking models are tested for different performance analysis factors. DWT, DCT, SVD and Contourlet transforms were used to analyze the performance of digital image watermarking for a Lena image along with a logo of 512  512 pixel size each. This experiment was conducted for different digital image attacks and tested for the quality of extracted output image from the embedded watermarking. The combination of all transformations delivered good results with highest PSNR with a good quality of output extraction. A summary of obtained results were tabularized for further research prospects and development
A COMPARATIVE PLACEBO, CONTROL CLINICAL EVALUATION OF PHALATRIKADI KWATH IN MADHUMEHA WITH SPECIAL REFERENCE TO DIABETES MELLITUS TYPE 2 Sonalika Jena1*, B.B.Khuntia2,

The study was aimed to have a conceptual review of the disease Madhumeha and its treatment in particular to the use of an herbal drug” Phalatrikadi Kwath” and to compare its efficacy with the control drug (metformin) and placebo through scientific parameters in a double blind clinical control trial. Madhumeha, also known as Diabetes Mellitus is one of the types of Vataja prameha, that has been considered as an incurable disease (Mahagada). Due to indulgence in etiological factors it results in the incomplete formation of Kapha and Meda which further proceeds downward through the channels of Mutravaha srotas and get localized at Basti mukha leading to the symptoms like Prabhoota mutrata (polyurea), Avila mutrata (tubidity of urine) etc. As the disease is Chirakari, it requires an effective treatment which can be continued for a long time without any ill effects. Among the many treatment measures mentioned, Phalatrikadi kwath has been selected in this study and the effect was evaluated. The clinical study includes 50 patients of either sex between 30-60 years of age with Madhumeha (Type2 Diabetes Mellitus) were recruited having range of blood sugar (fasting 126-180 mg/dl, postprandial sugar, 200-250 mg/dl) attending the OPD of G.A. M Puri, Odisha and were divided into three groups. Group I (30 patients) were treated with trial drug (Phalatrikadi kwatha), Group II (10 patients) were treated with control drug (Metformin) and Group III (10 patients) were treated with placebo. All the three groups were recommended with uniform classically described diet (Ahara) & regimen (Vihara). Patients were evaluated in an interval of 15 days for one month. FBS, PPBS with clinical sign & symptoms were assayed. After evaluating the total effects of the treatment, it was observed that Phalatrikadi kwath along with diet and regimen gave satisfactory relief in comparison to control drug (metformin)which is an established drug.
Automatic Tumour Detection In Mammogram Using Supervised Learning Method

: Breast cancer is the most occupied type of cancer in women that caused the most deaths among women. The early detection of breast cancer is more important for the chances of survival of patient. This work has mainly four modules: Pre-processing, Segmentation is carried out by Active Contour algorithm and Advanced K-means algorithm, Feature extraction is done by Gray Level Co-occurrence Matrix (GLCM), Expectation Maximization (EM) and Principle Component Analysis (PCA), finally classification is done by Random Forest Classification. To achieve the objective of this work, MIAS (Mammographic Image Analysis Society) and IN breast databases are used as input images. The Accuracy achieved in this system is 95.83%.
Mercury Removal from Aqueous Solution Using Mixed Mineral Systems Injected with Zinc Sulfide in Sulfidic- Anoxic Conditions II. The role of solution composition and Ageing

This study investigates Hg(II) removal onto binary mixed mineral sorbents from simulated mercury contaminated water, in zinc sulfide related sulfidic-anoxic condition. The sorbents used were zinc sulfide, kaolinite, montmorillonite, goethite, and their mixtures. Batch mode studies at room temperature demonstrate a linear increase in mercury sorption with increase in pH up to pH 4, gradually flattening for the rest of pH investigated. Increase in Cp-particle concentration does not reveal a corresponding increase in sorption of mercury. Except for zinc sulfide, kaolinite and montmorillonite, increase in residence time could not lead to a corresponding increase in mercury removal. The complex behavior of mineral-mercury interaction under sulfidic-anoxic condition may be attributed to increased hydroxylation of the mineral surface and the presence of thiol (≡S-H) and hydroxyl (≡Me-OH) functional groups and reactive sites on surface of metal sulfides.