Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Low Frequency Noise on Fundic Mucosa of Adult Male Albino Rats and the Role of Vitamin E Supplementation (Histological and Immunohistochemical Study)

Low frequency noise (LFN) is an environmental problem particularly to sensitive people. Stomach is one of the main targets of noise stress. Our aim was to detect histological and immunohistochemical changes that may occur in fundic mucosa of adult wistar male albino rats exposed to LFN and the role of vitamin E administration. Fifty adult wistar male albino rats were classified into three groups: control group, experimental group subdivided into two subgroups: [LFN exposed and LFN+vit.E] and recovery group. Results: fundic mucosa of LFN exposed group showed shedding of surface epithelial cells, glandular cells with pyknotic and karyolitic nuclei, parietal cells had pyknotic nuclei and vacuolated cytoplasm, Chief cells appeared with pyknotic nuclei and separated basal lamina, mononuclear cell infiltration and thick muscularis mucosa. Highly statistically significant increase in the mean area percent of collagen fibers of fundic mucosa of LFN exposed group as compared to the control group. Highly statistically significant decrease in the mean thickness of mucous film in PAS-alcian blue stained sections of the fundic mucosa was detected in the LFN exposed group as compared to the control group and LFN+vit.E exposed group. Highly statistically significant decrease in the mean optical density of chromogranin-A immunoreaction in LFN exposed group as compared to the control group. Scanning electron microscope (SEM) examination revealed dilated gastric pits and loss of the normal mucous sheet covering the surface mucous cells with some mucous patches. LFN+vit.E group revealed marked improvement. To conclude, LFN induced alteration in fundic mucosa and its mucous barrier. Marked improvement after vitamin E supplementation was detected. So, vitamin E may be beneficial for at risk people.
PERFORMANCE EVALUATION & IMPROOVEMENT OF LEACH – A WIRELESS SENSOR NETWORK PROTOCOL USING A NOVEL ALGORITHM FOR CLUSTERING

: From past few years Wireless Sensor Networks has been an area which has fascinated many researchers to implement their new ideas for the betterment of human life using small tiny sensors. A Wireless Sensor Network is a network of sensors with capabilities to sense particular entities related to environment, to process data locally & to communicate information to the Base Station. Low Energy Adaptive Clustering Hierarchy (LEACH) Protocol is one of the renowned hierarchical routing approaches for Wireless Sensor Networks. In this paper we have proposed an novel energy efficient clustering hierarchy for the augmentation of LEACH protocol. The proposed clustering hierarchy focuses on the equalize energy distribution and area distribution for the clusters. The proposed method improves the life span of the network and also the data throughput of the Network.
Early Decompression in Traumatic Cervical Dislocation Improve Patient Neurology Outcome

There have been vast numbers of studies looking at the timing of surgical intervention for traumatic spinal cord injuries but still no consensus has been reached on the optimum timing of spinal decompression surgery. A review of the current literature revels varying results with some indicate potential neurological benefit associated with “early” decompression, while others do not. We have demonstrated that early surgical intervention within 24 hours in our patient with cervical dislocation improve neurological outcome without any complications.
Effects of Prosocial Behavior on Happiness and Well-Being

Growth in the field of subjective well-being reflects larger societal trends concerning the value of the individual, the importance of subjective views in evaluating life and the recognition that well-being necessarily includes positive elements. Researchers suggest that well-being and happiness are interrelated and factors like prosocial behavior, hope, optimism and altruism are also related to well-being. Gaining knowledge about these intricate phenomena is a goal pursued by several social psychologists. Considering the growth rate of prosocial behavior, this study aims to explore the effect of prosocial behavior on well-being and happiness. To fulfill this purpose data was collected from the undergraduate students (N=250) of Delhi University with the help of simple random sampling technique. The prosocial behavior, happiness and well-being were measured. The findings suggested that prosocial behavior is directly related to well-being and happiness. An association between socio economic status, well-being and happiness was
The Protective Role of Ginseng against N-nitrosodimethylamine Induced Hepatic Toxicity in Male albino Rats ( A Histological & Ultra structure Study )

Objective was to evaluate the possible improvement in the histological and ultra structural features of liver of rats treated with N-nitrosodimethylamine( NDMA )together with Ginseng extract (G). In the present investigation a total number of 40 male adult albino rats of approximately similar body weigh (90 ±10gm) were used. Animals were divided into four groups the first group of rats served as control (C), the second group received a single intraperitoneal dose of NDMA (20 mg/kg b.wt.), the third group received intraperitoneal dose of NDMA (20 mg/kg b.wt.) and 20 mg\kg of Ginseng extract by intramuscular injection, the fourth group received intramuscular injection doses (20 mg/kg b.wt.) of Ginseng extract daily, all groups were treated of experimental duration for 1 month. Liver was prepared for histopathological, and ultra structure studies . NDMA administration induced hepatotoxicity compared to G treated group, including dissolution of hepatic cords, focal inflammation and necrotic tissue. Interestingly, interacting group also exhibited abnormal changes, including per portal fibrosis, degeneration of hepatic cords and increased mononuclear inflammation infiltrate . These changes were confirmed at ultra structural level, including vesiculated rough endoplasmic reticulum and atrophied mitochondria with ill differentiated asternae , dense collection of macrophages and lymphocytes as well as fibrocytes with colagenous fibrosis. On the contrary, in animals received G extract only, the hepatic tissue revealed improvement of the histology and ultrastructure of the tissues which became almost similar to the control group tissue. It is possible to suggest that G may have a significant important in protection against NDMA induced hepatic damage. [Mona Ahmed. The Protective Role of Ginseng against Nnitrosodimethylamine Induced Hepatic Toxicity in Male albino Rats (A Histological & Ultra structure Study). Journal of American Science 2012;8(4):722-729]. (ISSN: 1545-1003). http://www.americanscience. org. 95
EFFECT OF DIAPHRAGMATIC AND COSTAL MANIPULATION ON PULMONARY FUNCTION AND FUNCTIONAL CAPACITY IN CHRONIC OBSTRUCTIVE PULMONARY DISEASE PATIENTS: RANDOMIZED CONTROLLED STUDY

Chronic obstructive pulmonary disease (COPD) is a common treatable disorder with progressive, partially reversible airflow limitation.COPD is characterized by a gradual worsening of lung functions and health status. Globally; COPD is associated with considerable morbidity and mortality proportion, it is the fifth leading cause of death in the world; with its mortality rate is expected to increase more than 30% during the next 10 years.Even with recent treatment advances; COPD continues as a severely debilitating condition that is usually undiagnosed until clinical symptoms become apparent. Exercise and activity intolerance are the two main characteristic features of COPD patients. Pulmonary, cardiovascular as well as skeletal muscles dysfunctions are the main underlying elements in limiting exercise capacity of COPD patients.Although patients with COPD can greatly benefit from exercise training in improving functional capacity (FC) for satisfactory long periods, but presence of airflow limitations and early breathlessness that may limit their FC and exercise performanceand may be clearly apparent during low and moderate exercise intensities or even at rest, directed researchers to seek alternative and complementary procedures that can effectively and safely benefit COPD patients. Therapeutic intervention designed to counteract COPD changes and increase chest wall compliance (as stretching of the respiratory muscles)can improve chest wall mobility, improve vital capacity and reduce dyspnea.A variety of manual techniques were introduced to improve pulmonary function (PF),these techniques are targeting neuronal, lymphatic and musculoskeletal components of pulmonary system. Although variety of COPD-related manipulative procedures are not newly established treatment, but it didn't receive adequate attention in the biomedical community section. Functional capacity and PF were previously used variables when evaluating the effects of manipulative treatment in variety of communities, and results were controversial. Furthermore; the chronic effects of individual manipulative technique remains unclear. Understanding such effects could lead to establishment of proper treatment protocols. Because presence of few studies reporting the influence of manipulative procedures on COPD; so little information is available about COPD patients' responses to manipulative treatment. Furthermore; and up to our knowledge and available literature none of them investigated or compared effects of single and commutative manipulative procedures on PF and FC in COPD patients. This study was a trial to explore and compare the responses of the VF and FC to either diaphragmatic manipulation or rib rising or both procedures in patients with moderate COPD. ABSTRACT
Stress Reducing Effect of a New Appliance on Dental Implant Patients

Aim: FM5 SENSORY system provides a new therapy modality which reveals synergistic effects on the level of stress. This innovative system combines music, aromatherapy and LED system by its own software program, and consist of a helmet and a main machine. By using this system, the aim of this study is to evaluate the levels of stress of the patients who would undergo dental implant surgery. Methods: This study included 66 of patients with no systemic disease (33 females, 33 males; mean age: 37.4±1.5 years). Evaluation of the stress levels of patients were performed by measuring the concentration of urinary cortisol. The treatment with helmet and the program of main machine were applied to all patients for 30 minutes. Before and after the treatment, twenty-four hours urine were collected from each participant. For the analyzes of cortisol levels, Urine BETA Cross Laps® (CTX-I) ELISA kit was utilized and they were presented as pg/ml. Obtained data were analyzed statistically performing paired samples test of SPSS program with a significance level of 0.05 Results: A statistically significant difference for cortisol levels was displayed before and after treatment (p:0.03). A significant decrease in cortisol level was founded after helmet treatment in participants. Mean value of cortisol levels before and after the treatment were as follows: 43567±3456 pg/ml and 39454±1432 pg/ml, indicating that the helmet treatment helps to reduce cortisol levels in these patients. Conclusion: FM5 SENSORY system can be a treatment modality to reduce the stress level and useful for patients who have increased levels of stress in dental appointments.
800-Significance of DOI Model for Adoption of Cloud Computing

: Cloud computing is one of the virtual service models in technology, characterized to support organizations by minimizing cost, increase business agility, anywhere any time–on demand accessibility et.al. This wide virtual connectivity is delivered to the users/ organizations with the help of different service models. Cloud computing offers optimum utilization of resources including elasticity. Cloud services offered by third party-service providers on pay-per-use model are delivered to the customer by using Cloud computing platform. Cloud computing platform leads the organizations to gain productivity and enhance the services delivered by them. Cloud computing provides an opportunity to organizations to transform their businesses and create a value proposition between organizations and users. Cloud computing model supports self-services and on-demand service delivery. Cloud as defined by NIST (800-145, 2011) gives a clear view of the service and deployment models. This study addresses and analyzes the Roger’s model ‘Diffusion of Innovations’ significance towards Cloud computing adoption. Model identifies the contribution of variables (constructs) viz. Knowledge, Persuasion and Decision. Decision process includes relative advantage, compatibility, complexity, trialability, and observability. Study is being conducted among employees working in medium-large public organizations, whose job is performed by technology.
Traffic Analysis Tool for Wireless Sensor Node Traffic Analysis Tool for Wireless Sensor Node Traffic Analysis Tool for Wireless Sensor Node Traffic Analysis Tool for Wireless Sensor Node

Simulation is playing important role in design and test concepts in wireless sensor network. There are many simulators are available in research community, but problem is many researchers face flexibility in creating traffic flow for simulation of sensor network and associated energy consumption. This tool will generate traffic with given range of inter-arrival and service time. It generates simulation table, which consists of arrival, queue status, idle time, service time, number of packets stored in queue etc… It produces average energy consumption, life-time of node, average waiting time, average time between arrival and average waiting energy. This analysis will help to study behavior of traffic flow and average energy consumption at different interval. This paper deals with designing sensor node random event, which will help in simulating different random traffic flows and analysis of effect of intermediate component queue.
Data Security with Image Clustering using Hopping Neighbour Technique

— In this modern era, internet is widely used for the communication of information. People are easily able to exchange the information but privacy or secrecy of communicated message is an important issue. Steganography or data hiding is the process of hiding the information in such a way so that its existence is not known. The ultimate goal of this thesis is to develop the technique that provides security to the information by hiding it in the image file format using hopping neighbour technique. Here the jpeg image file format is used for hiding the information. In the first step Black and white clusters are formed individually by counting the black and white pixels of the image. The three primary colors i.e. Red, Green and blue are also used for forming the clusters. The largest cluster among all of them is chosen for the hiding purpose. The reason for choosing the largest cluster is that it will not degrade the quality of image. Further hopping neighbour technique is applied for hiding the information in the largest selected cluster. Results show that current technique using hopping neighbour approach provides improved values of hiding capacity, as well as minimized values of time consumption and linear visual distortion as compared to traditional neighbouring approach.
Design of Mimo Antenna for Wlan/Wimax Applications

1031 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number:F11770476S519/19©BEIESP Abstract: In the field of wireless communication multiple antennas are gaining increased interests due to their increase in capacity and data transmission compared to that of single antennas. A three element multiple input multiple output (MIMO) antenna model operating in three frequency bands is presented in this paper. The antenna consists of three different patches in the frequency range of 2.4GHz, 3.3GHz and 5.5GHz on a single substrate which is made up of “FR4_epoxy” material. The antenna is designed with the size of about (100 mm x 90 mm) and thickness of 1.6mm. The simulation results are obtained with the help of High Frequency Structure Simulator software (HFSS). In order to improve the performance of the antenna an additional technique known as artificial magnetic conductor (AMC) is introduced. The antenna model consists of another substrate with the air gap of about 1mm between both the substrates and the amc unit cells of different size (5 mm x 5 mm) and (4 mm x 4 mm) are induced in the substrate. Simulation results show it has good operation over the frequency bands of 2.4GHz, (3.3-3.5GHz) and (5.3-5.5GHz) which can be used for WLAN/ WiMAX applications.
BER Performance Evaluation of Different Digital Modulation Schemes for Biomedical Signal Transceivers under AWGN and Fading Channel Conditions

The RF transceivers play an important role i n the wireless medical monitoring system. Compared to the conventional RF transceiver, the tran sceiver in medical sensor nodes has more stringent constraints i terms of power consumption, size limitation and the quality o f transmission. Digital modulation schemes used in th e wireless transceivers plays an important role in the perform ance of the transceiver. In this paper the Bit error rate (BER) of different digital modulation schemes are compared under AWGN, Rayleigh and Rician fading channels to identify a suitable di gital modulation scheme for biomedical application.
Perlustration of Deaf-And-Dumb Alphabet Detection and Interpretation

— A sign language appertains to recognize the meaningful expressions which uses the gestures like combined hand-shapes, orientation and movement of the hands, arms or body, facial expressions and lip-patterns instead of sound to convey ideas. It is of uttermost importance in designing an intelligent and efficient human–computer interface. The applications of sign language ranges from medical rehabilitation to loud venues. However, successful recognition of lexical signs is not sufficient for understanding of proper Sign language communication. The Non-manual signs and the grammatical processes, results in the variation in the appearance of signs are integral aspects of interaction but have received comparatively less attention. In this survey, we examine the data acquisition, preprocessing, feature derivation and classification methods employed for scrutinize the sign language gestures. These are discussed with respect to the issues like modeling transitions between signs in continuous signing, signer independence, and adaptation, also with the overall progress towards a true test of sign recognition systems—dealing with natural signing by native signers. Every hand gesture recognition is depending on characters in different Sign Language (SL). The related research area of sign gesture recognition is Human Computer Interaction (HCI) and image processing which helps to solve this problem. Existing challenges and future research possibilities are also highlighted
Voice Commanding System of a Personal Computer for People with Disabilities

 Abstract: Approximately 77% of disabled people use the internet using various devices including a personal computer. Since a keyboard and a mouse is the default computer interface basically, it is difficult for the disabled person such as a patient in total paralysis to use a personal computer. In this paper, we design and implement the voice commanding system of a personal computer using the Amazon Echo. In the proposed system, the Echo accepts a voice command of a user and sends the command to skills. The skills and the lamda functions in the Amazon Web Service analyze the voice command and transforms the commands to the executable instruction. The transformed instruction is transferred to the controller of the user’ PC and executed. The benefit of the proposed voice commanding system is the exact control of the personal computer following the intention of the disabled person requiring even low costs.
Fingerprint-Iris Fusion Based Multimodal Biometric System Using Single Hamming Distance Matcher

: In the real world applications, unimodal biometric systems often face limitations because of sensitivity to noise, intra class invariability,data quality, and other factors. Improving the performance of individual matchers in the aforementioned situation may not be effective. Multi biometric systems are used to overcome this problem by providing multiple pieces of evidence of the same identity. This system provides effective fusion scheme that combines information provided by the multiple domain experts based on score-level fusion method, thereby increasing the efficiency which is not possible in unimodal system.In this paper, we have proposedthe development of a fingerprint and iris fusion system which utilizes a single Hamming Distance based matcher to provide higher accuracy than the individual unimodal system.
Importance of antioxidants enzymes in the survival of rice seedlings after desubmergence

The influence of submergence on Survival and antioxidant capacities in four rice genotypes SwarnaSub1, NDR8610-2, Lalkadhan and Sambha were evaluated under control, simulated complete submergence and subsequent re-aeration. Maximum SOD and Peroxidase activity were recorded in NDR 8610-2 with highest survival percent after desubmergence over control. The result indicated that survival percent is associated with antioxidative enzymes.
Multiple Face Detection on Distorted Images using NSS-HOG Features and Neuro-SVM Classifier

- Motivated by the proliferation of low-cost digital Cameras in mobile devices used in automatic surveillance Networks, interaction between the perceptive image quality and the face detection has been identified. There is degradation in performance of a Face detector when quality of natural images degrades, such as noise or blur, while recording, storage and the transmission. It can be observed that in a certain interval of perceived image. In this paper first of all NIQE score is evaluated for each natural images and further NSS_HOG features are extracted that is robust to common and important image distortions such as Gaussian blur and AWGN noise. Secondly Neuro-SVM Classifier is developed which shows the accuracy of classifier greater than some existing classifiers such as LDA, SVM and AdaBoost. To facilitate this study, a new Face Database, containing face and non–face patches from multi-face images impaired by a variety of common distortion types and levels.
Application of Data Mining Techniques to Model Breast Cancer Data

— Breast cancer poses a serious threat and is the second leading cause of death in women today and most common cancer in developed countries. As breast cancer recurrence is high, good diagnosis is important. Many studies have been conducted to analyze Breast Cancer Data. In this work, we explore the applicability of decision trees to predict the presence of breast cancer. Also it analyzes the performance of conventional supervised learning algorithms viz. Random tree, ID3, CART, C4.5 and Naive Bayes. Experimental results prove that Random Tree serves to be the best one with highest accuracy.