Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Aromatherapy on Anxiety in Diabetic Patients –A Review

Introduction: Diabetes is one of the most common diseases of human societies that occurs as a result of relative or absolute lack of insulin or its dysfunction and the metabolism of carbohydrates, proteins, and fats are disordered. Given the abovementioned disagreement, the prevalence of anxiety in diabetic patients, and the necessity of non-drug treatment, it was attempted to conduct a review study to determine the effect of aromatherapy on diabetic patients’ anxiety. Method: The present study was conducted by searching Persian and English databases such as magiran, SID, Google scholars, and science direct pub med by using key words such as aromatherapy, diabetes, and anxiety. Various studies were found on the diabetic patients’ anxiety as well as aromatherapy and its effect on reducing patients’ anxiety. Result: The prevalence of mental disorders, anxiety in particular, is higher in diabetic patients than ordinary people, and there is a mutual relationship between diabetes and anxiety . Diabetic patients are exposed to anxiety for different reasons . As many as 45% of type 1 diabetic patients avoid regular insulin injection for the fear of needle. The anxiety arising from injection is the first psychological barrier for following the daily injection of insulin in diabetic patients Conclusion: aromatherapy can be conducted with the abovementioned plants for reducing diabetic patients’ anxiety. However, it is recommended to conduct further researches to study the effect of aromatherapy with different extracts on diabetic patients’ anxiety.
Relation between dyslipidemia and obesity: A concise review

Dyslipidemia is a pathological condition in which lipid levels are deranged and it is a major health problem leading to dreadful complications if untreated. Presently its prevalence is high in developed countries especially in women. Concept of dyslipidemia does not exist in classical test but resemble sign and symptoms are described under the description of Samin-e-mufrit and Unani Physician recommended various drugs for its management. Therefore, it was determine to correlate between dyslipidemia and obesity, whereas Unani physicians well described etiology, pathophysiology, clinical features and there management with the help of package treatment i.e., Dietotherapy, Regimes and
Segmentation of Historical documents using Region Based Segmentation Method

- Nowadays the quantity and quality of the historical stone in-scripted documents move towards downwards. Here in our present proposal main concentration on digitization of these documents. Image segmentation is one of the important processes in in the digital image processing. In the optical character Recognition (OCR) segmentation and image mosaic plays an important role. Here in this work the segmentation type will be Region Based segmentation. In this proposal we use this segmentation method on Historical Ganga and Ashoka documents. In this work, we propose a hierarchical region-based approach to joint object detection and image segmentation. Our approach simultaneously reasons about pixels. Pixel appearance features allow us to perform well on classifying amorphous background classes, while the explicit representation of regions facilitate the computation of more sophisticated features necessary for object detection. Importantly, our model gives a single unified description of the scene—we explain every pixel in the image and enforce global consistency between all random variables in our model.
Stereo-Vision Based Oscillation Measurement for Disaster Prevention

The approach proposed in this paper has been developed to support the stereo-vision based monitoring of building structures or natural formations focusing on the oscillation measurement. First of all the setup of the measurement system together with the related problems such as the camera synchronization, calibration are shown. The results obtained by the performed experiments point out that the proposed measurement approach considering the achieved frequency and accuracy is suitable to effectively monitor civil engineering and natural structures in a non-contact manner.
Cleaning of Vernacular Railway Tracks Using Drone

Autonomous aerial vehicle are becoming trending technology in many fields due to the lack of labor and risk reduction of many hazardous cases in working procedures. Unmanned Aerial Vehicle (UAV), an aircraft which has no pilot, and can be controlled remotely and it is in use in several fields such as military, aerial surveillance, aerial photography, cargo delivery, forest fire detection, oil/gas and mineral exploration and manufacturing, etc. Recently, using UAV as a remote sensing apparatus draws interest from researchers in numerous fields; various sensors to be equipped on drone have been demonstrated. Drone is one type of drone that is lifted and propelled by four rotors. It use two set of identical propeller which rotates in clockwise (CW) and counter-clockwise (CCW), to control the movement of drone by alter the rotation rate of one rotor disc or more. The advantages of quadcopter compare to others drone are low cost, steady flying, accurate position to handle the work and most importantly the ability to carry various instruments to operate in the air. Some previous works have shown installation of various types of gas sensors on quadcopter or hexacopter to detect odor diffusion pattern and find the odor source in many situations but there are quite few works that employ sufficient number of gas sensor in an array to work as a so-called E-nose system.
ETHNOBOTANICAL AND PHARMACOLOGICAL PROPERTIES OF PINEAPPLE PROTEASE (BROMELAIN): A REVIEW

Bromelain (EC 3.4.22.32) is a crude extract from the fruit or stem of pineapple (Ananas cosmosus Linn.) plant that contains, among other components various closely related proteinases (stem bromelain, fruit bromelain, comosain and ananain) demonstrating both in-vitro and in-vivo several therapeutic properties including anti-inflammatory, fibrinolytic, inhibition of platelet aggregation, anticancer, mucolytic, skin debridment, digestive assistance, enhanced wound healing, cardiovascular and circulatory improvement, enhaced absorption of other drugs etc. Bromelain also contains peroxidase, acid phosphatase, several protease inhibitors and remain stable over a wide range of pH 2 to 9. It has earned universal acceptability as a phytotherapeutic drug because of its history of safe use and zero side effects. This review deals with the biochemistry, pharmacology and medicinal use of bromelain.
Privacy Preserving Data Mining Operations with Privacy Preserving Data Mining Operations with Privacy Preserving Data Mining Operations with Privacy Preserving Data Mining Operations without out out out DisruptingDisruptingDisruptingDisrupting Data Quality Data Quality Data Quality Data Quality

Data mining operations help discover business intelligence from historical data. The extracted business intelligence or actionable knowledge helps in taking well informed decisions that leads to profit to the organization that makes use of it. While performing mining privacy of data has to be given utmost importance. To achieve this PPDM (Privacy Preserving Data Mining) came into existence by sanitizing database that prevents discovery of association rules. However, this leads to modification of data and thus disrupting the quality of data. This paper proposes a new technique and algorithms that can perform privacy preserving data mining operations while ensuring that the data quality is not lost. The empirical results revealed that the proposed technique is useful and can be used in real world applications.
Heterogeneity of Parkinsonism in Familial Frontotemporal Dementia: Insights from Genetic Clues on the Pathogenesis

Neurodegenerative disorders are a major health problem with a prevalence of 135 million people affected worldwide, that is estimated to double by 2050, based on World Health Organization predictions [1]. Specific protein inclusions and depositions causing neuronal dysfunction define most neurodegenerative diseases at the pathological level, and the clinical picture is generally defined by the affected brain regions. In the past 30 years, the genetic causes of inherited forms of neurodegenerative disorders have been identified and the molecular components of the inclusions have been discovered. In most cases, pathogenic mutations cause disease through an overproduction of the amyloidogenic protein or an increase in the protein’s propensity to aggregate, with resulting neurodegeneration. A major class of neurodegenerative diseases, collectively known as tauopathies, is characterized by intracellular inclusions consisting of an abnormally modified microtubule-binding tau protein. Primary tauopathies are a major class of frontotemporal lobar degeneration (FTLD) neuropathology and can present clinically with several forms of frontotemporal dementia [2] and parkinsonian syndromes (i.e., Progressive Supranuclear Palsy Syndrome, PSP; Corticobasal Syndrome, CBS) [3]. Uncovering these neurodegenerative disease-causing genes and understanding the molecular functions of encoded proteins will shed light on the mechanisms that underlie the sporadic forms of disease.
A Zone Based Route Estimation in Integrated Vehicular Network

— Vehicular Area Network is one of the critical public area networks that combine the functioning of the mobile and sensor network. This network is based on scenario based constraint setting. In this work an effective zone based analysis approach is suggested for route generation in City Scenario. The paper has setup the communication between the V2I and I2I to identify the effective route over the network. The presented work is also effective for route estimation in congested network as well as in accidental situations. The paper has presented the associated approach.
COMPETITIVE ADVANTAGE THROUGH KNOWLEDGE DISSEMINATION: AN EMPIRICAL ANALYSIS OF HOTELS IN MAKURDI METROPOLIS, BENUE STATE, NIGERIA

Strategic management researchers have alluded to the fact that tangible/intangible assets and intangible capabilities contribute to the achievement of organization’s competitive advantage. Thus, this study was conducted owing to the increase in the employment of knowledge workers, the use of Information and Communication Technology (ICT) in service delivery, and the upsurge in the number of hotels in the hospitality industry in Makurdi metropolis. The aim of the study was to investigate the relationship between knowledge dissemination and Competitive Advantage (CA). The study adopted expost-facto research design and purposive sampling technique. Questionnaire were employed to collect data from employees of selected hotels. Chi-square statistical method was employed to test the research hypothesis. It was found that knowledge dissemination is significantly related to CA. The researchers recommend increased knowledge dissemination via knowledge sharing and transfer among employees and between departments.
Region Based Contrast Limited Adaptive HE with Additive Gradient for Contrast Enhancement of Medical Images (MRI)

-Digital Image Processing has been widely implemented in Medical Imaging. Various branches of medical science are using digital image processing as an extensive process to visualize and extract more details from the image. Quality enhancement of medical images can be performed with the help of various techniques. Contrast Enhancement is one of the most acceptable methods for enhancement of medical images. Different contrast enhancement methods like Contrast Stretching, Histogram Equalization, AHE, CLAHE are already available. Method selection depends on characteristics of image. This paper works on low contrast MRI images and presents a hybrid methodology for image enhancement. Results of the proposed algorithm have been compared against the existing major contrast enhancement techniques and Region Based Adaptive Contrast Enhancement (RBACH) on both qualitative and quantitative basis.
MULTI DIMENSIONAL PARITY BASED HAMMING CODES FOR CORRECTING THE SRAM MEMORY FAULTS UNDER HIGH EMI CONDITIONS

: Exposure to electromagnetic radiations (high speed a ray particles) is a prominent problem in all the semiconductor memories of on-board computing unit used for space application. So, in this paper, an error detection and correction method to protect the semiconductor memories against the soft errors is proposed. This method is based on 2-d parities. The parity bits are calculated at the receiver end for each row, column and diagonal in slash and backslash directions in a memory array. The parities are regenerated at the receiver end; the comparison of transmitted and received parity bits detects the error. As soon as the error is detected, the code corrects the detected error. Hamming code is used for error detection and correction. It uses parity codes in each of the four directions (that are horizontal, vertical, forward slash diagonal and backslash diagonal) in a data part. Correction code can correct an error in each row, column, and forward slash diagonal and back slash diagonal. This method is implemented on an FPGA device and it is evaluated for an on­chip RAM of a Virtex device. This method is a promising technique to detect and correct errors in semiconductor memories in presence of large electromagnetic interference and hazardswith less computational complexity.
A NEURAL NETWORK APPROACH FOR THE PRECISE PATTERN RECOGNITION OF HUMAN DNA

: The primary goal of bio informatics and neural networks solely is to increase our understanding of biological processes and focus on developing and applying computationally intensive techniques (e.g., pattern recognition, data mining, machine learning algorithms, and visualization) to achieve this goal. The neural networks exhibit characteristics such as mapping capabilities or pattern association, generalization, robustness, fault tolerance, parallel and high speed information processing. Neural networks learn by examples they can therefore be trained with known examples of a problem to ‘acquire’ knowledge about it. Once appropriately trained, the network can be put to effective use in solving ‘unknown’ or ‘untrained’ instances of the problem. The perfect blend made of bioinformatics and neural networks results in efficient pattern analysis techniques. The conventional techniques and algorithms employed by forensic scientists to assist in the identification of individuals on the basis of their respective DNA profiles involves more computational steps and mathematical formulas that leads to more time and space complexity resulting in complicated and less efficient algorithms which can be shorted out by emerging Artificial Neural Network approach.
Image Based Authentication Image Based Authentication Image Based Authentication Image Based Authentication ffffor Phishing or Phishing or Phishing or Phishing uuuusing Visual sing Visual sing Visual sing Visual

- With the advent of internet, various online attacks have been increased and among them the most popular attack is phishing. Phishing is an attempt by an individual or a group to get personal confidential information such as passwords, credit card information from unsuspecting victims for identity theft, financial gain and other fraudulent activities. Fake websites which appear very similar to the original ones are being hosted to achieve this. In this paper we have proposed a new approach named as an “Image based authentication using Visual Cryptography” to solve the problem of phishing. The use of visual cryptography is explored to preserve the privacy of an image by decomposing the original image into two shares (one with user and one with server) such that the original image can be revealed only when both are simultaneously available; the individual sheet images do not reveal the identity of the original image. Using this website cross verifies its identity and proves that it is a genuine website before the end users. The emphasis of the project is to prevent the user from visiting a phishing website. The project aims at achievement of security of user and saving its confidential information from theft.
Packet Scheduling For Interference Mitigation in Heterogeneous Network

— In heterogeneous network the deployment of pico cells is vital in offering higher data rates. Pico cell range extension is the feature of LTE-A where pico cell in a Het-net can increase the coverage area with an positive bias and neighboring macro cell can ofﬂoad their users to pico cell to reduce load in them. Deployment of pico and macro will result in downlink interference for users in the range extension area. This leads to the multi-user downlink communication problem. The main task of low power cells deployed in a heterogeneous network is to allow the cell edge users benefit from the extra bandwidth that is introduced in the network. Scheduling of pico cell users can reduce the interference for the users in the cell range extension area of the Heterogeneous network. In this paper, downlink packet scheduling performance with Modified Largest Weighted Delay First has been analyzed.
Advances on Learning-modulated Adult Neurogenesis

During the last decade neuroscientists have shown an increasing interest in adult neurogenesis and a number of studies have been focused on the role that it could play in learning and memory processes. One of the brain structures that generates new neurons along adulthood is the Dentate Gyrus of the hippocampus. This structure is involved in learning and memory processes, and a plausible role for these newly born cells at the information processing level has been suggested. Nevertheless, actual evidences do not provide a clear picture on the type of cognitive processes supported by adultborn neurons. The present work reviews the last evidences related to the possible role of neurogenesis in learning and memory mechanisms.
Impact of Intangible Assets on Corporate Financial Performance

The purpose of this study was to determine whether a firm’s higher intangible asset value leads to a better financial performance. Specifically, this study explored relationships between intangible indicators, such as Tobin q, market-to-book ratio, and EVA, and financial indicators, such as the return on asset (ROA), return on equity (ROE), return on invested capital (ROIC) and net income. The study also determined relationships between firms’ intellectual property, such as the number of patents, trademarks, and copyrights the firms own, and their intangible indicators. Keywords--Indicators, Industry, Market over
FINGERPRINT DETECTION AND RECOGNIZATION TECHNIQUES USING GABOR FILTER

Fingerprints are most extensively and effectively appropriate for the proof of identity in present days. Mostly because of their uniqueness among the people, public acceptance, originality, stability through life, and their least risk of invasion. Fingerprint technology, which is basically a biometric system, is utilized to identify an individual based on their physical qualities. Fingerprint matching is the trendiest biometric method appropriate to provide authentication. Fingerprint verification is one of the most trustable biometric security system in the world of computers. In this paper we proposed fingerprint algorithm which uses Gabor filter to capture local and global minute details in a fingerprint. The matching is based Euclidean distance between input image to test compared to trained fingerprints images. We are able to detect fingerprint with marginally best results. Our fingerprint framework performs best as compared to any other techniques
Study on cavity induced conditions in diabetic patients

Diabetes mellitus (DM) is a chronic illness with multiple complications including oral cavity components. The study aims at identifying dental lesions in diabetic patients and assessing correlations between diabetes mellitus and dental caries index (DMF-T Decayed Missing, Filled Tooth). The analysis includes two patient samples: one with 52 patients previously diagnosed with DM and a control group with 50 patients without diabetes or other systemic illnesses. We assessed the degree of cavity-induced conditions and calculated the DMF-T value for each group of patients. We also evaluated oral hygiene status by calculating the plaque index for all patients. Simultaneously, serum glucose level and glycosylated hemoglobin (HbA1c) value have been measured for all individuals. Values have been compared and statistically analyzed. Mean DMF-T value has been significantly higher (p<0.01) in diabetic patients (11.5±4.3) when compared with controls (5.3±2.1). No significant differences have been obtained concerning glucose or HbA1c levels between patients with IDDM (Insulin Dependent Diabetes Mellitus) or NIDDM (Non Insulin Dependent Diabetes Mellitus). A significant correlation (R2 = 0.8116) has been found between HbA1c value and DMF-T value as well as between HbA1c levels and number of WHO grade IV caries (R2 = 0.9124) for diabetic patients. Our results show a correlation between the therapeutic control of diabetes evaluated by glycosylated hemoglobin level and severity of dental lesions and suggest a possible pathogenic link between protein glycation and dental conditions in diabetes mellitus.
Network Intrusion Detection Using PSO Based on Adaptive Mutation and Genetic Algorithm

— The Particle Swarm Optimization is very efficient in intrusion detection in the networks. However, many intrusion detection systems either fail to detect or falsely detect the intrusions. This paper proposes a technique for intrusion detection using Particle Swarm Optimization with Genetic Algorithm based feature selection and using Adaptive Mutation for slow convergence of optimization algorithm. The results thus obtained are approximately 92% that proves the proposed approach to be quite effective in intrusion detection.
SOME USEFUL AYURVEDIC HERBS HAVING ANTI

Ayurveda contains a wealth of knowledge on health sciences since ancient times. It deals with good, bad, happy and unhappy life, its promoters and non life as a whole which is conjunction of body, sense organs, mind and self. Now a day’s modern science and all path now believe in its principle and more and more research is being dir therapies. All medical practitioners believe that prevention is better than cure and Ayurveda provides the path to a healthy lifestyle. Ayurveda sees health as a perfect balance between mind, body and consciousness. this it accepts a daily regimen of exercise onset of many life style diseases in itself. there is a growing body of scientific studies that backs this ancient knowledge. Some common herbs are available which are proven to have anti-cancer properties.
THE RESTORATION OF RENAL FUNCTIONS IN PATIENTS UNDERWENT CARDIAC SURGERY

Objectives: To compare the effects of different routes and timings of administration of dopamine and mannitol used to alleviate the adverse effects of prolonged cardiopulmonary bypass (CPB) on renal functions in coronary artery surgery. Methods: Group I (n: 25 patients): Mannitol 1 g/kg was added into the priming solution for CPB. Group II (n: 25 patients): IV dopamine was administered at a dose of 2 μg/kg/min during the time period between anesthesia induction and end of surgery. Group III (n: 25 patients): IV dopamine was administered at a dose of 2 μg/kg/min during the time period between anesthesia induction and end of surgery and mannitol 1 g/ kg was added into the priming solution for CPB. Group IV (n: 25 patients) (Controls): Furosemide was given when the urine output was low. Results: There was a significant increase in post operative urine microalbumin/creatinine ratio in all groups (p < 0.05), even increase of cystatin-c in Groups I, II and III (p < 0.01). Conclusions: We believe that concurrent use of dopamine infusion (2 μg/kg/min) with mannitol (1 g/kg) during CPB may represent a more effective strategy for the prevention of the untoward effects of CPB on renal functions.