Miracle-dz/UniFAR-FTUs huggingface dataset:
The Comparison of the Antiplaque Effect of Aloe Vera, Chlorhexidine and Placebo Mouth Washes on Gingivitis Patients

Background: With the increasing incidence of periodontal diseases and development of antibiotic resistance, the global need for alternative treatment modalities, safe, effective, and economical products is the need of time. Aloe vera is a medicinal plant which has the greater medicinal value and enormous properties for curing and preventing oral diseases disease. Aim: The aim of the study was to access the effect of Aloe vera chlorhexidine mouthwash as an adjunct to SRP Material and methods: 90 healthy subjects were randomly allocated in 3 groups to the test group (n=30) – mouthwash containing Aloe vera, Control group (n=30) –chlorhexidene group, normal saline Placebo (n=30). Plaque Index (PI) and Gingival Index (GI) were assessed at days 0, 15 and 30. Subjects were asked to rinse their mouth with the stated mouthwash, twice a day, during a 30-day period. Results: Our result showed that Aloe vera mouthrinse is equally effective in reducing periodontal indices as Chlorhexidine. The results demonstrated a significant reduction of gingival bleeding and plaque indices in both groups over a period of 15 and 30 days as compared to placebo group. There was a significant reduction on plaque and gingivitis in Aloe vera and chlorhexidine groups and no statistically significant difference was observed among them (p>0.05). Aloe vera mouthwash showed no side effects as seen with chlorhexidine. Conclusion: The results of the present study indicate that Aloe vera may prove to be an effective mouthwash owing to its ability in reducing periodontal indices.
Consumer Credit Limit Assignment Using Bayesian Decision Theory and Fuzzy Logic – A Practical Approach

The market for consumer credit is diversified and multilayered. This makes it a challenging task to come up with a generalized theory of consumer credit limit assignment. However it is natural to surmise that an accurate and dynamic credit limit assignment strategy will certainly reduce the magnitude of the random and non-random uncertainty embedded in future credit limit management activities. Traditionally credit risk scorecards are employed for such strategic decisions. In order to minimize the misclassification error, Bayesian decision theory can be employed instead of scorecards for a more accurate credit limit strategy. However, estimation of the probability density function is a challenging task under practical circumstances. In this paper, we have proposed a modelling framework algorithm to estimate the class conditional density functions using frequency probability stemming from statistically independent simulations. Also for the continuous variable components within the feature vector, the class membership of a new entrant is being assigned using fuzzy logic. This makes the model robust, easy to handle, comprehend, implement and control.
OXIDATIVE STRESS INDUCED ULCER PROTECTED BY NATURAL ANTIOXIDANTS: A REVIEW Gupta Priya*, Nain Parminder, Sidana Jaspreet

Oxidative stress is caused by an imbalance between the production of reactive oxygen and a biological system's ability to readily detoxify the reactive intermediates, which ultimately leads to oxidative deterioration of protein, lipid and DNA. In humans, oxidative stress is involved in pathology of many diseases, such as atherosclerosis, Parkinson’s disease, heart failure, myocardial infarction, and chronic fatigue syndrome. Reactive oxygen species (ROS) can be beneficial, as they are used by the immune system as a way to attack and kill pathogens. To counteract oxidative stress, the body produces an armory of antioxidants to defend itself. It's the job of antioxidants to neutralize free radicals that can harm the cells. Body's internal production of antioxidants is not enough to neutralize all the free radicals. It’s a well-known fact that ROS are involved in the aetio-pathogenesis of the inflammatory and ulcerative lesions of the gastrointestinal tract. The present review focuses on the studies where oxidative damage due to stress has been linked causally to loss of cell integrity mainly in peptic ulcer cured by natural antioxidants.
Sequential Pattern Mining: Survey and Current Research Challenges

— The concept of sequence Data Mining was first introduced by Rakesh Agrawal and Ramakrishnan Srikant in the year 1995. The problem was first introduced in the context of market analysis. It aimed to retrieve frequent patterns in the sequences of products purchased by customers through time ordered transactions. Later on its application was extended to complex applications like telecommunication, network detection, DNA research, etc. Several algorithms were proposed. The very first was Apriori algorithm, which was put forward by the founders themselves. Later more scalable algorithms for complex applications were developed. E.g. GSP, Spade, PrefixSpan etc. The area underwent considerable advancements since its introduction in a short span. In this paper, a systematic survey of the sequential pattern mining algorithms is performed. This paper investigates these algorithms by classifying study of sequential pattern-mining algorithms into two broad categories. First, on the basis of algorithms which are designed to increase efficiency of mining and second, on the basis of various extensions of sequential pattern mining designed for certain application. At the end, comparative analysis is done on the basis of important key features supported by various algorithms and current research challenges are discussed in this field of data mining.
Analog CMOS Implementation of Memory Units and Memory Devices

: The most widely used semiconductor memory types are the dynamic random access memory and static random access memory competition among memory manufactures drives the need to decrease power consumption and reduce the probability of read failure. The concept of CMOS implementation (schematic design) of different memory units and devices. Memory design is one of the interesting subject in semiconductor technology for storing binary data in large quantities. The purposed memory design takes into account the type of memory unit that is preferable for a given technology and application and is a function of required memory size. The time it takes to access the memory data, pattern and configuration to optimize the memory architecture for low power dissipation and more importantly over all system requirements. The project is dealt with basic memory architecture and their essential peripheral blocks. It emphasis on the working of memory units (eg. flip-flop) and memory devices (SRAM & DRAM) with their schematic diagram to obtain their characteristic - Memory design is one of the interesting subjects in semiconductor technology. They have fascinated world through storage of data values and program instructions. Memory is a portion of a system for storing binary data in large quantities. Type of memory unit that is preferable or a given technology is governed by its architecture and other essential building blocks. Cell structure and topology is governed by the technology (Here 300 nm, 2 metal layer C5 process). The peripheral blocks include the address decoders, sense amplifiers, voltage references, drivers, buffers, timing and control. In this design we will be defining our memory size in bits (that are equivalent to the number of cells.) The proposed size of the array is 64 bits i.e. 8 x 8 arrays. Moreover this CMOS memory design will also be including sensing amplifiers and circuits, row and column decoders, control circuitry and finally the operation of memory cells themselves. Initially memory design procedure will be primarily consisting of defining the architecture and then laying out respective memory cell. Then according to architecture the peripheral circuitry is laid out. Finally memory check and optimization procedures are carried out with various simulation tools.
Relationship between Bean Crop Productivity and Weed Appearance

Green bean is an important pulse crop in this province and often grown in rotation with cereals. Field experiments were conducted at the Agricultural Research Station of Islamic Azad University of Tabriz, Iran. The treatments were weed-infested and weed-free in same periods. For weed-infested plots, redroot pigweeds were hand removed after 2, 4, 6, 8, 10 and 14 weeks after bean emergence (WABE) and were kept weed free thereafter. For weed-free experiment, redroot pigweeds that were provided from transplanted seedlings in green bean rows were allowed to compete with green bean plants from 2, 4, 6, 8, 10 and 14 WABE thereafter. A sigmoid model provided the best fit for the maximum weed-infested experiment. The relationship of green bean yield with weed-free period was best described by a polynomial equation. Green bean biomass was not affected by redroot pigweed after the first four weeks of interference; however a significant loss in crop biomass occurred thereafter in comparison with full-season weed-free plots. Yield loss of green bean due to redroot pigweed interference ranged from 3% in weed removal in 2 WABE to 68% in full-season weed-infested plots. Percent yield loss of bean varied with redroot pigweed time of emergence. We concluded that if growers use pre-plant incorporated or pre-emergence herbicides, they should use those with enough soil residual activity to control weeds until eight WABE.
Composition Analysis and Antioxidant Activity Evaluation of Oyster Enzymatic Hydrolysates

The focus of the study was to investigate composition and in vitro antioxidant activity from oyster enzymatic hydrolysates. Oyster enzymatic hydrolysates from oyster muscle were hydrolyzed using flavourzyme and ficin. Amino acid contents, volatile flavor components and molecular weight distribution of oyster enzymatic hydrolysates were determined by reverse phase high-performance liquid chromatography (RP-HPLC), gas chromatography-mass selective detector (GC-MS) and gel permeation chromatography (GPC), respectively. The RP-HPLC result indicated that 17 kinds of amino acids were detected in oyster enzymatic hydrolysates and the hydrolysates were rich in glutamic acid, histidine, glycine and cysteine. Totally 34 volatile compounds were described by mass spectrum (MS). Moreover, aldehydes were the most abundant, which accounted for 31.48% of the total components, followed by esters, which rank the second in the volatile flavor components identified. The number average molecular weight (Mn) of oyster enzymatic hydrolysates were mainly 10134Da, 324 Da and 109Da. The oyster enzymatic hydrolysates exhibited the higher scavenging activity on 2,2-azino-bis(3-ethylbenzthiazoline)-6-sulfonic acid (ABTS) radicals (IC50=0.86 mg/mL), 1,1-Diphenyl-2-picrylhydrazyl (DPPH) radicals (IC50 = 4.24 mg/mL), hydroxyl radicals (IC50= 6.43 mg/mL) and reducing power ( 0.698 at 2.5 mg/mL ). These results had shown that oyster enzymatic hydrolysates can be used as a tremendous source of antioxidant peptides, and of high interest for food and pharmaceutical industries to develop new nutraceuticals and functional foods.
The Expression of Stem Cell Markers in Typical Hepatocellular Carcinoma and its Fibrolamellar

Hepatocellular carcinoma (HCC) is one of the leading causes of death resulting from neoplasms worldwide. Its risk factors include liver cirrhosis and viral infections (chiefly hepatitis B and C virus). Recently novel factors associated with poor prognosis has been identified, which are deemed to result from the presence of cancer stem cells (CSCs) the identification of EpCAM(+), CK19(+) and NCAM(+) cells within the tumour makes the prognosis worse. Fibrolamellar type of HCC (FL) is characterised by longer survival and independence from risk factors typical of HCC. In the present study we investigate differences between classical hepatocellular carcinoma and fibrolamellar hepatocellular carcinoma in terms of stem cell markers expression: EpCAM, CK19, cKIT and NCAM. In samples of FL HCC and other variants of the tumour the immunohistochemical analysis was performed. The immunoreactivity of FL HCC cells was significantly lower as far as a percentage of positive stained cells and a fraction of cases, where at least 5% of cells was positive is concerned when compared with typical HCC. The results indicate that one of the factors influencing better outcome in patients with FL, as opposed to typical HCC, might be the less numerous population of CSCs, as identified by their EpCAM(+) immunostaining.
Is Employee Empowerment A Penacia For Ills Of Industries? A Study

The idea Empowerment of employees is not new but it has been practiced for a long time in Socialist countries of Europe. The present paper deals with employee empowerment models and application of employee participation in some aspects of production and distribution in some labor intensive industries in India. The paper examines the practical aspects of employee empowerment in different areas of industry and its pros and cons in India contemporary industrial scenario where majority of employees is untrained and socially deprived.
A Review: Intrusion Detection System in Wireless Sensor Networks

-In recent years, the applications based on the wireless sensor networks are growing day by day. Wireless sensor network is collection of sensor nodes. These sensor nodes monitor the physical conditions like sound, temperature, vibrations etc. This paper discusses various techniques of intrusion detection system in wireless sensor networks. The intrusion detection system is the key to detect different types of attack occurring on sensor network. This paper also gives an introduction to Wireless Sensor Networks, Communications protocols in WSN, security in WSN and existing Intrusion Detection policies are discussed to stopping the security attacks or enhancing the security of the WSN system. Out of several detection techniques three major types are describe in this paper are Misuse based detection, Anomaly based detection and hybrid based detection .
Modulation of Muscle Fiber Type

Feral fallow deer have existed in New Zealand for over 100 yr, but only in the last 10 yr has this species been farmed. Deer farmers have obtained animals from feral populations and have not as yet selected for live-animal or carcass traits. Nevertheless, fallow deer carcasses (Gregson and Purchas, 1983; Asher, 1983), like those from red deer (Drew and Greer, 1977; Tan and Fennessey, 1981) have a fat content only one-third that of cattle and sheep. As the mating season for deer approaches, neck muscles of male deer enlarge. In male sheep, cattle and red deer, the splenius neck muscle has one of the highest sex-related growth ratios (Jury et al., 1977; Tan 1981; Tan and Fennessey, 1983; Butterfield et al., 1983). A major difference between male deer and cattle or sheep is that necks of deer enlarge prior to the rut and then regress to their prerut size, while necks of bulls and rams remain enlarged. Seasonal neck development in deer and the appearance of other secondary sex characteristics are accompanied by a dramatic 1000-fold increase in plasma testosterone levels (Lincoln, 1971; Lincoln and Kay, 1979; Muir et al., 1982). Testosterone causes this neck enlargement in deer by stimulating muscle fiber growth, and might also influence the distribution of muscle fiber types (Young and Bass, 1984). In addition, there may be a change in fiber type with growth which is independent of testosterone (Ashmore et al., 1972; 1973; Moody et al., 1980). Because considerable debate has focused on fiber type change, it was felt that data obtained on a muscle with rapid seasonal growth that is accompanied by a rapid rise in testosterone could be useful. Testosterone and/or rapid muscle growth could affect muscle quality as well as muscle mass because muscle fiber type determines the biochemistry of muscle and therefore dictates the ultimate properties of the meat (Cassens, 1977). The objectives of this study were to determine the influence of season andlor testosterone levels on muscle growth, fiber occurrence and fiber area in the splenius neck muscle of male fallow deer.
Has Time Come to Frame Clinical Practice Guidelines Recommending Dexmedetomidine as a Routine Adjuvant Agent in Balanced General Anesthesia Technique. Ane Cr Care Med J 2016, 1(1): 000104

In today's era of scientific research, recommendation through evidence based practice guidelines has got major impact on best clinical practice. Over the last decade or so Dexmedetomidine the selective alpha two agonist has contributed significantly to the practice of anaesthesia and Perioperative medicine. Though it has been used for various purposes the maximum uses and benefits have been related to general anaesthesia. In spite of plethora of Literature suggesting its positive role played during general anaesthesia, it is yet to be recommended as a routine adjunctive agent for balanced anaesthesia technique. Hence this review focuses on its different pharmacodynamic as well as pharmacokinetic properties attributing to its major advantages & few disadvantages during pre-operative, intra operative as well as postoperative period related to general anaesthesia. It also analyses the adequacy of scientific evidences raising the possibility of recommending Dexmedetomidine as a routine adjunct to balanced anaesthesia technique during framing of clinical practice guideline.
Decisive Load-Acquainted Routing Strategy For Wireless Mesh Networks

This paper introducing a load-acquainted routing strategy for wireless mesh networks (WMNs). In a WMN, the transfer load tends to be haphazardly disseminated over the network. In this circumstance, the load-acquainted routing strategy can balance the load, and accordingly, augment the on the whole network capability. We intend a routing strategy which maximizes the convenience, i.e., the degree of user approval, by using the dual putrefaction technique. The formation of this technique makes it potential to realize the projected routing strategy in a fully disseminated way. With the planned method, a WMN is divided into multiple clusters for load manage. A huddle head estimates transfer load in its cluster. As the predictable load gets superior, the huddle head increases the routing metrics of the routes transitory through the huddle. Based on the routing metrics, consumer traffic takes a deviation to evade overfull areas, and as a consequence, the WMN achieves global load corresponding. We current the arithmetical consequences viewing that the future method efficiently balances the traffic load and outperform the routing algorithm using the expected transmission time (ETT) as a routing metric.
A Stereo Vision-based Guidance System for the Visually Impaired People

This paper proposes a stereo vision-based algorithm for objects’ depth estimation suggested for guiding visually impaired people. The proposed algorithm is a first step towards a complete system designed for warning visually impaired persons to avoid in front obstacles at a reasonable distance (1m-2m). First, the left and right images are captured by a stereo vision camera. After preprocessing the captured images, objects are detected and segmented using morphological operations then a stereo image rectification is performed. The inliers points differences obtained from epipolar constraint are used to calculate the maximum and the minimum disparity. The suggested algorithm in this paper is tested using images captured for different objects with various distances from the stereo camera. Experimental results show that the proposed algorithm for depth estimation works quite robustly and faster than other methods in the literature.
A Metrics Set for Reusability Based Quality Framework for Software Components

Reusability is the most important factor which cannot be ignored when practicing component based software development since it offers many advantages like improved productivity, cycle time and quality. Reusability and quality are proportional to each other as a high quality component is definitely reusable and vice versa. The quality is a subjective issue which is difficult to measure objectively. In this paper, we proposed a metrics set to evaluate the quality or reusability of black box software components. The scales of metrics are so chosen that are capable of easily grasping the behavior of components in order to measure the quality worth. The results are found highly significant when validated with Pearson correlation method.
Low Cost Adsorbent for Rhodamine B Dyeremoval from Aqueous Solution Using MESC

The research of this work was to investigate the removal of Rhodamine B dye from aqueous solution by using Mimuscopselengi Stem (MESC). Generally, dyes are organic compounds used as colouring products in chemical, textile, paper, printing, leather, plastics and various food industries. The need for the treatment of dye contaminated waste water passed out from the dye industries. Mimuscopselengi Stem was studied for its potential use as an adsorbent for removal of a cationic dye Rhodamine B (Rh-B). The various factors affecting adsorption, such as initial dye concentration, contact time, adsorbent dose and effect of temperature were evaluated. The experimental data were fitted into the pseudo-second order kinetic model. The equilibrium of adsorption was modelled by using the Langmuir and Freundlich isotherm models. The objective of the present work suggests the MESC may be utilized as a low cost adsorbent for Rhodamine B dye removal from aqueous solution.
Accidental Mortality in India: Statistical Models for Forecasting

During the process of evolution, changing lifestyle introduces new elements like accidents effect mortality. The incidence of accidental deaths has shown a mixed trend with an increase of 51.8 percent in the year 2012. From National Crime Report Bureau-2012 data this paper tries to investigate the statistical model which method give best estimated value of forecasting accidental death. Time series model--Various Exponential Smoothing and Auto Regressive Integrated Moving Average (ARIMA) techniques were applied; it is found that the trend of accidental cases showing a increasing pattern. The forecast value show that 438811 numbers of deaths may be in the year 2015 with 32.5 rate of increment as compared to 2006, if the rate will be constant and there will be no change in patterns of mortality. So, on validation of Models, ARIMA performed better than the DTES. This will be help for policy maker to control such type of incidence in future.
Survey on Key Feature Descriptors Used In Computer Vision Applications

Computer vision is a field that includes methods for acquiring, processing, and understanding images and, high-dimensional data from the real world to produce decisions. Many applications rely on matching key points across images. Nowadays, the deployment of vision algorithms on smart phones and other devices with low memory and computation complexity has a great importance. The goal is to make descriptors which are faster to compute, more compact while remaining invariant to any common image transformations. There are different faster and more robust key points and association algorithms such as Scale Invariant Feature Transform (SIFT), Speed-up Robust Feature (SURF), and more recently Binary Robust Invariant Scalable Key points (BRISK) etc. To address these current requirements, we need to analyze which descriptor is the most robust one.