Miracle-dz/UniFAR-FTUs huggingface dataset:
A Review on MC-CDMA on Mobile Environment

: Multi-carrier code division multiple access is an attractive choice for high speed wireless communication as it mitigates the problem of inter symbol interference and also exploits frequency diversity. The work described in this paper is my effort in this direction. In this paper working of Transmitter and Receiver model of MCCDMA system is presented. We evaluated interference and bit error rate for multicarrier code division multiple access wireless communication system. In this thesis my concern is find out the effect of interference in MC-CDMA system. We find out the effect of number of users and signal power on different parameters for MC-CDMA system. Simulations are given to support the system and receiver design. All the simulation is carried out on MATLAB tool.
Research Paper on hybrid model of AODV& MTPR for MANET

Mobile Ad-hoc NETwork (MANET) is an autonomous system of mobile hosts connected by wireless links. The nodes in these networks have several constraints such: limited bandwidth, transmission range and mobility. Another parameter that significantly affects the network performance is the limited battery power of the nodes. This paper proposes a novel routing protocol that considers two parameters: Hop count and Total Transmission loss. On the basis of these two route metrics an optimal path is proposed. The proposed protocol is implemented in MATLAB 2013a and our result also shows that our proposed protocol is better than other standard protocols such as MTPR (Minimum Total Transmission Power Routing) and AODV (Ad-hoc On demand Distance Vector routing).
TITLE: Analyzing time series of brain electrical activity through wavelet transform

EEG (Electroencephalography) is deals with human brain. EEG signals more useful in neurology and play prominent role in study about activity of the brain. EEG study are mostly useful for diagnosis of Epileptic activity. But afterward it is also useful for understanding of cognitive process. The EEG technique read by neurologist who has taken specific training in the interpretation of EEGs. The purpose of the paper is to construct a base for the development of future methodology for reading and interpreting EEG correctly even in absence of qualified person. In present work, used EEG signals for analyzed electrical activity of brain at different condition of person: normal behavior of person (eyes open (a) and eyes close (b)), seizure free interval (epileptic zone (c) and hippocampal formation (d)) and the seizure activity (e) via continuous wavelet transform. Continuous Wavelet transform is known as mathematical tool which provides Multiresolution analysis. It is found that Morlet wavelet coefficients (low pass coefficient and high pass coefficient) clearly identify distinguishing features of the signals using matlab technique. After pin-pointing these robust features in the wavelet scalogram, systematically work on the autocorrelation property of the wavelet coefficients of the signal. This can help tremendously in the developing front telemedicine. Using EEG data extracted from University of Bonn, Germany, which is available in public domain [12]. So in present paper, continuous wavelet transform can be employed here for making precise analysis of electrical activity of brain at different condition. So the difference of EEG time series at different state represent by periodic nature and also find out behavior of the brain. Keyword: Electroencephalograph (EEG), Matlab, Continue Wavelet Transform.
Power Efficient Successive Approximation ADC With Double Tail Dynamic Latch Comparator

337 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: BS2075128218/19©BEIESP Abstract: Analog to Digital converters (ADC) are used in medical instruments that serves as an essential part as the interface between analog and digital signal processing system. Low power design is needed for large battery life. Commonly used ADC is the successive Approximation Register (SAR) ADC. The other ADC models are Pipeline ADC, Flash ADC, integration ADC, Sigma Delta ADC. ADCs are chosen by considering resolution, power, size, frequency, performance and so on. A SAR ADC is selected for such applications because of its low power and tiny size. The essential engineering of SAR ADC comprise of sample and hold circuit, SAR, ADC and voltage comparator. This paper deals with double tail dynamic latch comparator which is replaced with thecomparator of SAR ADCs. The parameter estimations, like utilization of power, Signal to Noise ratio and resolution are carried out for SAR ADC. The schematic of SAR ADC has been designed using Tanner tool.
Role and place of the endoscopic therapy in advanced stages of cardioesophageal cancer. J. Life Sci. Biomed. 9(4): 82-88; www.jlsb.science-line.com;

Aim. The aim of study was to investigate efficacy of palliative treatment of proximal gastric tumors. Methods. The article describes experience of treating 232 patients with unresectable cardioesophageal cancer (UCC). Of these, minimally invasive endoscopic procedures: endoscopic diatermotunnelization (ED), endoscopic bougienage (EB) and endoscopic stenting (ES) was performed in 101 patients. Currently, the method of endoscopic stenting is preferred, which was performed in 84 patients, and own-developed model of a silicone tube stent was used in all patients. Main early and late complications of using this method were described. Results. Minimally invasive techniques described, the absence of a cosmetic defect, there is no need of specific care set endoprothesis and relatively easily tolerated by patients of the technique endoprosthetic stent installation suggest a viable alternative to the imposition of gastrostomy and jejunostomy. Original Article PII: S225199391900013-9 Rec. 13 March 2019 Rev. 18 June 2019 Pub. 25 July 2019
Privacy Preserving of Data transmission for Cluster Based Wireless Sensor Network

: Efficient data transmission in wireless sensor network is an important issue in the networks. So that to provide the efficient data sharing in the wireless sensor network we can perform the any one of cryptography technique. Before provide security of data we can perform the clustering of nodes in the wireless sensor network. Clustering of nodes is an effective way of to enhance the performance of wireless sensor network. By performing the clustering of nodes in the network we improve the network efficiency and also reduce the time complexity for the transmitting data. The clustering node can be performed by the dynamically and periodically. In this paper we proposed the mid-point clustering algorithm for the generation of number of cluster group. Before generation of clusters we can perform the authentication process of each node in the wireless sensor network. The authentication process can be done by implementing identity based polynomial signature algorithm. After that we can perform the clustering process and also provide security of transferring data. To provide security of data we are using bit sequence message integrity protocol. By using this protocol we can perform the encryption and decryption of transferring message. By implementing those concepts we can improve efficiency of wireless sensor network.
The Beneficial Effects of Green Tea Extract and its Main Derivatives in Repairing Skin Burns of Rabbit

This research was carried out to evaluate the potential and beneficial effect of green tea (Camellia sinensis) and its fractions in direct fire burns in comparison with antibiotic manufactured for this purpose using basic morphological and histological methods. Twenty-five animals were divided into five groups (5 animals each). These groups were control untreated group; crude extraction treated group, polyphenol fraction group, terpenes extract group and antibiotic ointment treated group. All types of treatments reduce the wounds to minimum volume at the beginning of the fifth week. Most wounds were recovered completely, giving normal epidermis, dermis and hair growing, whoever some burns showed no hair growth and gave abnormal appearance of newly formed skin. Furthermore, histological findings revealed normal cutaneous architecture of the extract treated wounds more than that appeared in the untreated wounds. The healing capability of Camellia sinensis was evident when compared to the impaired healing process of the wounds administered to the Baneocin antibiotic ointment treated rabbits that illustrated a delay in coagulation and inflammation phase of healing after five weeks of wounding. However, the healing effect of crude extract was more effective than that observed with the Baneocin treated or essential oil derivatives (terpenes and polyphenoles), respectively. The contract ability and closure times of wounds were very high by application of crude extract and antibiotic than those through application of terpenes and polyphenoles. Terpenes gave another way of treatment, it was good antimicrobial material and so did polyphenoles. They prevent microbial growing above the wounds after the first hours of application.
Isolation and the biofilm formation of Uropathogens in the diabetic patients with catheter associated urinary tract infections (UTIs)

Background and AIMS: There is proof that patients with diabetes have an expanded danger of asymptomatic bacteriuria and urinary tract diseases (UTIs). UTI is the most well-known bacterial contamination in diabetic patients. The point of this investigation was to survey the pervasiveness of UTIs among hospitalized diabetic patients and to recognize the most successive microorganisms in charge of UTI. Material and Methods: The investigation populace included 1470 diabetic patients (847 ladies and 623 men), admitted to the Diabetes Clinic of IMS and SUM Hospital, Bhubaneswar, among January and December 2017. We gathered patients' close to home history information and performed pee societies. For factual investigation we utilized Graph Pad Prism 5; the noteworthiness of the contrast between the rate esteems was surveyed utilizing Fisher's correct test. Results: From the absolute number of patients, 158 had positive pee societies, which means 10.7%. Out of the all out number of 158 UTIs, 124 (78.4%) were asymptomatic bacteriuria. The most regular microbes engaged with UTI was Escherichia coli (68.9%). Conclusion: UTIs are visit in diabetic patients. As a result of the extraordinary extent of asymptomatic structures among diabetic patients, the pee culture ought to be performed in all hospitalized patients
Video Forgery Detection Based on Variance in Luminance and Signal to Noise Ratio using LESH Features and Bispectral Analysis

— one among the most popular topics today is authentication of the digital content one has. Due to easy availability of advanced tools to modify content it has become difficult to judge whether a given content produced as piece of evidence is valid or forged one. The main aim of this paper to introduce a method based on statistical properties useful for detecting the forgeries in digital content specially videos. In this the key properties such as luminance and signal to noise ratio has been explored and use of Local Energy based shape histogram and Bispectral analysis. This paper mainly proposes a method which proves useful in detecting the different forms of tampering done with videos such copy-paste, inpainting etc. Experimental results shows that proposed method works in an efficient manner for videos tampered using different techniques.
Assessment of Diverse Quality Metrics for Medical Images including Mammography

This paper presents the comparative analysis of various quality metrics for medical image processing. Measurement of image quality is vital for numerous image-processing applications. Image quality measurement is closely related to image resemblance assessment in which quality is based on the differences (or similarity) between a degraded image and the original, unmodified image chiefly in mammographic images. Simple verifiable techniques have been used for representing the image quality because we have employed automatic and mathematically defined procedure distinct detailed methods, which are costly, time consuming and observer dependent. In this paper images have been subjected to various degrees of blur, noise, compression and contrast levels and quality has been measured in terms of well known metrics such as Mean Squared Error (MSE), Structural Similarity Index Metrics (SSIM) Peak Signal-to-Noise Ratio (PSNR), Maximum difference (MD) including new measures of image qualities for low cost medical image analysis.
IVF: The Gold Standard for Assisted Reproduction Treatment

quality from day to day. Hence, with a view to choosing the most appropriate form of treatment, various factors should be taken into consideration during analysis of the raw ejaculate including the total motile count (TMC), the quality of sperm progression (more so than the percentage of motile spermatozoa) and the percentage of morphologically normal spermatozoa present, before and after sperm preparation on the day of treatment. In this respect, the TMC has been shown to be the most reliable predictor of IVF treatment outcome, whereas sperm morphology is the least reliable predictor [2]. Each IVF unit should determine their own evidence-based semen analysis parameter criteria for determining the most appropriate allocation of treatment (a simple example is shown in Table 1).
A Novel 3D Reconstruction Approach Based on Camera Perspectives

: Engineering industry requires line drawings for manufacturing, machining and production of engineering equipments/objects. The generation of these paper-based drawings or computerized drawings is a complex and time consuming task. Conventionally, these drawings contain three two dimensional (2D) orthographic views, namely top , front and side of an object. Modern trends in engineering industry require three dimensional (3D) engineering drawings. Therefore, to fulfill this requirement the conversion of these 2D drawings to 3D drawings is essential. This conversion is referred to as the reconstruction . Various approaches have been proposed for the conversion/reconstruction using existing drawings. In this paper, we propose a novel 3D reconstruction approach which uses camera perspectives in the reconstruction process. Note that in the existing approaches this feature (camera perspective) is not used. Another salient feature of our approach is its underlying mechanism of tangential lines and hypothetical cuboid. Using our proposed approach, manufacturing cost and time can be saved, and it can also be helpful in technology transfer. [Journal of American Science 2010;6(7):342-352]. (ISSN: 1545-1003).
A Study of Cardiac Involvement in Organophosphorus Poisoning

Background and Objective: Organophosphorous (OP) poisoning frequently causes ill-health and death, particularly in developing countries. Not many clinical studies have been done to demonstrate the myocardial injury in OP poisoning through assessment of the cardiac biochemical markers. Hence, this is an attempt to study the myocardial injury in OP poisoning and to determine how it affects the outcome. Materials and Methods: Patients with history of OP poison consumption who fulfil the inclusion and exclusion criteria, getting admitted. Method of Collecting Data: A total of 50 cases of OP poisoning meeting inclusion criteria of the present study have been studied. Results: In this study, which included 50 patients of OP poisoning cases, tachycardia (30%) was the most common clinical sign seen, followed by bradycardia (20%), hypertension (16%), and hypotension (10%). The most common electrocardiographic abnormality seen was ST elevation (32%), followed by sinus tachycardia (30%), Q-T prolongation (24%), and sinus bradycardia (20%). Raised cardiac enzymes (troponin T and creatinine phosphokinase-MB [CK-MB]) were seen in 5 (10%) patients on the day 3. The levels of troponin T and CK-MB were elevated in patients with respiratory failure compared to non-failure ones. Patients who went into respiratory failure showed a mean troponin T and CK-MB levels of 0.0895 ± 0.01 ng/ml and 34.65 ± IU/L, respectively. The mean troponin T and CK-MB level in a patient who died were 0.1142 ± ng/ml and 39.14 ± IU/L, respectively. Conclusion: OP compound can directly cause myocardial injury during the acute phase. Cardiac complications of OP poisoning can be life threatening and are not fully appreciated. The level of cardiac enzymes correlated well with the severity of poisoning and prognosis, suggesting its use as a prognostic indicator of OP poisoning. Vigilant monitoring of the patients for prominent cardiac manifestations such as QT prolongation, VT or VF, and prompt treatment can save many patients.
Classifying Spyware Files Using Data Mining Algorithms and Hexadecimal Representation

— Malicious program is a serious threat for the security components such as confidentiality, integrity and availability. These new malicious executables are created at the rate of thousands every year. There are several types of threat to violate these components; for example Viruses, Worms, Trojan horse and spyware. Spyware represents a serious threat to confidentiality since it may result in loss of control over private data for computer users. Unlike viruses and worms, spyware does not usually self-replicate. It is typically hidden from the user and difficult to detect since it can create significant unwanted CPU activity, disk usage and network traffic. In existing systems, new malicious programs can be detected by automatic signature generation called as F-Sign for automatic extraction of unique signatures from malware files. This is primarily intended for high-speed network traffic. The signature extraction process is based on a comparison with a common function repository. By eliminating functions appearing in the common function repository from the signature candidate list, F-Sign can minimize the risk of false-positive detection errors. To minimize false-positive rates even further, F-Sign proposes intelligent candidate selection using an entropy score to generate signatures. Evaluation of F-Sign was conducted under various conditions. The findings suggest that the existing method can be used for automatically generating signatures that are both specific and sensitive. In this proposed model, data mining techniques like association, classification, and regression are used to generate patterns to check the malicious code and training set of frequent malicious code patterns are used to identify two classes such as legitimate software and malicious code patterns. Bayesian classifier is integrated with SVM which is proven for accurate classification.
ASSESSMENT OF PACKAGE GRAPHICS AND COLOUR ATTRIBUTES ON CONSUMERS’ BUYING BEHAVIOUR IN KENYA

Understanding consumer buying behaviour and their preference to product attributes has become a key success factor in contemporary competitive and rapid changing business environment. Consumer is now more discerning and individualistic requiring marketers to gain insights into their buying behaviour especially the attitude they have towards product innovation especially packaging. The general objective of the study was to determine the effect of packaging attributes on consumer’s buying behaviour of packaged foods in Kenya. This paper discusses the research findings on the influence of packaged food graphics and colour attributes on consumers’ buying behaviour in Kenya. The study was supported by the Theory of Reasoned Action, the Howard-Sheth Model and Kano’s Theory of Attractive Quality. Descriptive and explanatory research designs were used and a sample of 385 shoppers from three supermarkets in Nairobi was selected randomly while data was collected using structured questionnaires. The selection of supermarkets was based on judgmental sampling in which location and foot traffic was considered. Data was analysed using descriptive statistics in the form of mean, percentages and standard deviations, and inferential statistics in the form of correlation tests and regression analysis. The study found a statistically significant relationship between the attributes of graphics and colour and consumer’s buying behaviour. The study recommends that food manufacturers understand consumer response to their packages, and integrate the inputs into designing the best packaging styles. This can be achieved by involving consumers in the process of packaging so that the right decisions are made without making any assumption regarding the final packaging of food products. This study is beneficial to new and existing food product manufacturers in coming up with strategies and in development of product packaging. Keywords: Package Graphics, Colour Attributes, Consumers’ Buying Behaviour.
Review: Targeting the Biosynthesis and Incorporation of Amino Acids into Peptidoglycan as an Antibiotic Approach Against Gram Negative Bacteria

The rise of multi-drug resistant bacteria causing life threatening infections is instigating researchers to shift their attention towards previously unexplored antimicrobial targets. Targeting the synthesis of peptidoglycan that contributes to the structure of the bacterial cell wall has been and is still an attractive pathway due to its essentiality in bacteria and absence in humans. Here, we examine the pathways involved in the synthesis of three key amino acids and their incorporation into the peptide stem in Gram negative bacteria. This review also summarises the current research investigating these pathways as novel antibiotic targets.
A FAULT NODE RECOVERY ALGORITHM TO REINFORCES THE LIFETIME AND ROUTING IN WIRELESS SENSOR NETWORK

Wireless sensor networks have seen tremendous advances and utilization in the past two decades. Ranging from fossil oil exploration, mining, weather and even battle operations, all of those need detector applications. In the WSN, reduction of energy consumption is incredibly necessary for every each sensor node as a result of it will extend WSN period. The Wireless sensor network may be an assortment of sensors that are meet giant geographical region. Since sensors are wide unfold and enormous in range, the occurrences of faults within the network are additional. Therefore to detect the fault node and to replace the fault node an efficient algorithm is proposed. In this paper proposes a fault node recovery (FNR) to reinforce the period of a wireless sensor network (WSN) once a number of the sensor nodes stop working, either as a result of they now not have battery energy or they need reached their operational threshold. Using the FNR algorithm may end up in replacements of sensor nodes and more reused routing paths. Thus, the algorithm not solely enhances the WSN period however additionally reduces the cost of replacing the sensor nodes.
Preventing Collaborative Attacks by Cooperative Bait Detection Approach

: In versatile impromptu systems (MANETs), a key necessity for the establishment of correspondence among hubs is that hubs ought to organize with each other. In the vicinity of pernicious hubs, this necessity might lead genuine security worries; for case, such hub might bother the directing procedure. In this connection, forestalling or distinguishing malevolent hubs dispatching grayhole or community oriented blackhole in test. This task endeavors to decide this issue by planning a Dynamic Source Routing (DSR)- based directing component, which is alluded to as the Cooperative Bait Detection Scheme (CBDS), that facilitates the benefits of both proactive and receptive barrier models. Our CBDS framework actualizes a converse following strategy to help in accomplishing the expressed objective. Reproduction results are given, demonstrating that in the vicinity of noxious hub assaults, the CBDS beats the DSR, 2ACK, and best-effort fault-tolerant routing (BFTR) conventions (picked as benchmarks) as far as parcel conveyance proportion and steering overhead (picked as execution measurements).