Miracle-dz/UniFAR-FTUs huggingface dataset:
Anthropometric Characteristics in the Nutritional Status of Older Adults

The purpose of the study was to assess the anthropometric characteristics in the nutritional status of the older adult (AM) not institutionalized in the state of Colima and its association with the classification resulting from the mini nutritional assessment (MNA). It is a descriptive, cross-sectional and observational study that considered 74 AM, men and women belonging to day or part-time homes, with age equal to or greater than 60 years, with controlled comorbidity and that gave their consent to participate in the study. The MNA was applied to each participant, a validated instrument which classifies the nutritional status into three categories; nurtured (N) > at 23.6 points; risk of malnutrition (RD) 17 to 23.5 points; and malnutrition (D) < 17 points. Descriptive statistics were used for demographic variables such as means, frequencies and percentages as well as standard deviation (SD). For the quantitative variables, the Kolmogorov Smirnoff (KS) test was used to identify the normality of the observations, ANOVA of a Pos Hoc Tukey factor for the differences of homogeneous means and subgroups, with a 95% confidence interval, 73 gl, with a significance level of P≤0.05. They were evaluated (N = 74) AM, age of 73.61 ± 9.20; 52.70% are men, the difference is women; 54.1% are married; the nutritional status of AM through MNA classified as N 35.1%; RD 56.8% and D8.1%. The KS test identified that age (P = 0.454), weight (P = 0.996), height (P = 0.654), BMI (P = 0.561), waist circumference (P = 0.959), hip (P = 0.753), arm (P = 0.446), calf (P = 0.146), skin folds: biceps (P = 0.392), triceps (P = 0.607), subscapular (P = 0.166) observe normal behavior in the observations, not so, the subscapular and calf fold. The analysis between the groups showed no differences in the mean age (P = 0.754), weight (P = 0.332), BMI (P = 0.296), waist circumference (P = 0.374), hip (P = 0.067), arm (P = 0.404), calf (P = 0.245), skin folds: bicipital (P = 0.521), tricipital (P = 0.662), suprailiac (P = 0.599), subscapular (P = 0.223) and calf (P = 0.965). In contrast, the average size shows difference between the nourished vs. the groups. Malnourished (P = 0.012) and risk of malnutrition vs. Malnutrition (P = 0.021). In AM, size is a determining anthropometric measure for the assessment of nutritional status.
Recognition of Fake Currency Note using Convolutional Neural Networks

: In this paper, the Automatic Fake Currency Recognition System (AFCRS) is designed to detect the counterfeit paper currency to check whether it is fake or original. The existing counterfeit problem due to demonetization effects the banking system and also in other fields. A new approach of Convolution Neural Network towards identification of fake currency notes through their images is examined in this paper which is comparatively better than previous image processing techniques. This method is based on Deep Learning, which has seen tremendous success in image classification tasks in recent times. This technique can help both people and machine in identifying a fake currency note in real time through an image of the same. The proposed system, AFCRS can also be deployed as an application in the smartphone which can help the society to distinguish between the fake and original currency notes. The Accuracy in the proposed system can be increased through the original fake notes, where as the proposed system contains the images from children’s bank churan label.
Effect of Different Rates of Nitrogen and Phosphorus Fertilizers on Yield and Quality of Greenhouse Tomato Under the UAE Condition

Tomatoes are the major vegetable crops in the United Arab Emirates (UAE). Nitrogen (N) and phosphorus (P) are essential macronutrients for tomatoes growth, it is important to meet plant demand for N and P fertilizer and reduce surplus fertilizer applications. A greenhouse experiment was conducted at Al-Kiwtate Research Station in the UAE to study the effect of different levels of N and P fertilizer on the yield, physio-chemical properties of tomatoes and soil nutrient residues. The experiment was laid out in a factorial arrangement within randomized complete block design with two factors and four replications. All possible combinations of four N rates (0, 300, 600 and 900 kg N ha-1) and three P rates (0, 200, 400 kg P ha-1) were applied in corresponding to the growing stages. Tomato responded significantly to N-P fertilizer. The total yield increased with increasing levels of applied N up to 600 kg ha-1 and P 200 kg ha-1 and beyond this level tomato yield displayed significant decline. Application of N rate up to 900 kg ha-1 and P 200 Kg ha-1 had affected adversely the total yield, average fruit weight and number of fruit per plant. Increasing N fertilizer rate revealed significant increments in fruit nitrate concentration, acidity and citric acid comparing to the control. Both soil electrical conductivity (EC) and nitrate accumulations increased with increasing N application rate.
Image Depth Extraction Algorithm Using Wavelet Coefficients and Dense Representations

:Defining depth of an arbitrary image is a sophisticated task. Without knowing the cues for absolute depth measurement, the distance between observer and scene cannot be obtained accurately. Many methods are employed for calculating image depth map, but most of them cannot be used for dynamic scenes and scenes which are invariant to rotation and scale.The paper aims to illuminate the way to 3D modelling by generating the depth map of an image. The technique uses wavelet coefficients correlation to generate the depth map of arbitrary images automatically. The method includes 3 steps; matched image selection, image warping and optimization. By extracting the wavelet coefficient features, 3 matched images are selected for warping using SIFT flow algorithm. Optimization eliminates inaccuracies in the inferred depth map by spatial smoothening. Result produces depth map comparable to the sensor developed depth maps.
Categorization and Rating the Privacy Maintaining Data Mining Proficiencies by Applying a Data Change–based Model

------------------------------------------- ABSTRACT ---------------------------------- In recent years, the data mining proficiencies have met a dangerous challenge due to the altered regarding and concerns of the privacy that is, defending the secrecy of the vital and sore data. Different proficiencies and algorithms have been already demonstrated for Privacy Preserving data mining, which could be assorted in three common approaches: Data modification approach, Data sanitization approach and Secure Multi-party Calculation approach. This paper demonstrates a Data modification– based Framework for categorization and valuation of the privacy maintaining data mining techniques. Based on our model the proficiencies are divided into two major groups, namely perturbation approach and anonymization approach. Also in proposed model, eight functional criteria will be used to examine and analogically judgment of the proficiencies in these two major groups. The suggested framework furnishes a good basis for more accurate comparison of the given proficiencies to privacy maintaining data mining. In addition, this framework permits distinguishing the overlapping quantity for different approaches and describing modern approaches in this field.
EVALUATING A BYSTANDER INTERVENTION PROGRAM ON REPRODUCTIVE COERCION: USING QUASI-EXPERIMENTAL DESIGN STRATEGIES TO ADDRESS METHODOLOGIC ISSUES IN RANDOMIZED COMMUNITY PREVENTION TRIALS

OF DISSERTATION EVALUATING A BYSTANDER INTERVENTION PROGRAM ON REPRODUCTIVE COERCION: USING QUASI-EXPERIMENTAL DESIGN STRATEGIES TO ADDRESS METHODOLOGIC ISSUES IN RANDOMIZED COMMUNITY PREVENTION TRIALS Community (or cluster) randomized trials are trials in which communities or groups of individuals (clusters) are randomized to receive the intervention of interest. Community randomized trials frequently more closely resemble a natural experiment than a randomized controlled trial (RCT) following intervention allocation. In particular, the effects of non-compliance can pose methodologic challenges in estimating the intervention effect which may require a quasiexperimental approach in order to minimize bias. The motivating example to illustrate these issues is the Green Dot High School (GDHS) study. The GDHS study was a longitudinal, cluster-randomized controlled trial designed to assess the effectiveness of a bystander prevention program, the Green Dot (GrDt) (www.livethegreendot.com), on reducing sexual violence (SV) among high school students. One SV outcome examined by the GDHS study was Reproductive Coercion (RC), a form of SV in which control or manipulation of contraception or pregnancy outcomes is the tool utilized to perpetrate violence. RC often co-occurs with other forms of intimate partner violence (IPV), but has not been as widely studied as other forms of IPV. In particular, although there is evidence that RC occurs among adolescents, very little research has been conducted into either the prevalence or prevention of RC among adolescents and there are no published studies on a community-based prevention strategy for RC. The purpose of this dissertation has been to examine and propose solutions to the analytical challenges in assessing the effectiveness of the GrDt program. Specifically, this dissertation seeks to (1) identify and contrast methodological strategies for evaluating prevention programs aimed at community-level change, (2) to describe the burden of RC among Kentucky high school students, and (3) to assess the impact of the GrDt program on RC.
Design and Characteristics Investigation of Multiband Microstrip Patch Antenna for Wireless Application

This paper presents design and characteristics investigation of a low-profile compact microstrip patch antenna for multiband application. The antenna with a novel structure is designed on FR4 substrate having dielectric constant 4.4. The proposed antenna consists of a patch with four narrow slits and ground plane to generate six bands of frequency at 1.34, 1.99, 2.98, 3.27, 3.56 and 3.86GHz for different wireless systems. The design is simulated using Ansoft HFSS software. For verification of simulation results a prototype antenna is fabricated and tested. Both simulated and measured results are shown to illustrate the performance of the proposed antenna design.
Integrated High Step-Up Converter with WCCIS and VMCS for PV applications

October December 2016 2428 JCPS Volume 9 Issue 4 Integrated High Step-Up Converter with WCCIS and VMCS for PV applications Pravina P*, Catherineamala Priya E, Kavitha Kumari KS Department of Electrical and Electronics Engineering, Jeppiaar Engineering College *Corresponding author: E-Mail:smppravi@gmail.com ABSTRACT One of the most efficient and promising ways to solve the effect of conventional energy sources on the environment is to use Photovoltaic (PV) solar energy due to the clean, efficient, and environmentally friendly performance. A high step-up and high-efficiency dc–dc converter is necessary due to the relatively low output voltage of the PV arrays. These requirements make necessary the use of an interleaved boost converter with winding cross coupled inductors (WCCIs) and voltage multiplier cells (VMCs). The voltage gain is extended and the switch voltage stress is reduced by the WCCIs and the VMCs in the offered circuit, which reduces the peak current ripple of the power devices and makes low-voltage MOSFETs with high performance available in high step-up and high output voltage applications. Moreover, the output diode reverse-recovery problem is alleviated by the leakage inductance of the Winding-cross-coupled inductor, which decreases the reverse-recovery damages. Furthermore, the leakage energy is recycled by the voltage multiplier cells, when the switch turns off. In this paper detailed operating principles and steady state analysis are described. A 1 kW prototype with 40V input and 404 V output operating at 50 kHz switching frequency is built and tested to verify the significant improvements of the proposed converter.
DEVELOPMENT AND EVALUATION OF NSAID TOPICAL GEL USING DIFFERENT PERMEATION ENHANCERS

Nimesulide is a COX-2 specific, non-steroidal mitigating drug (NSAID) with analgesic and antipyretic properties. Topical gel formulations of nimesulide were produced by utilizing gel framing specialist like Carbopol 934P. Tween 80, Eucalyptus oil, Almond oil and Eudragit were utilized as entrance enhancers. Glycerin was utilized as a humectant. The gel definitions were characterized by IR study recommended that the plan arranged is a physical blend. The readied gel definitions were assessed for drug content, pH and rheological parameters like viscosity, spreadability and extrudability. The percent release of nimesulide from plain gel was moderate when contrasted with other medication stacked gel definitions. The plan (F11) demonstrated most extreme percent discharge (99.56%). The Gael plans were assessed for in vitro penetration study about the detailing, containing 2% Eudragit demonstrated most astounding saturation contrasted with different definitions. Stability studies of selected gel formulations were performed to assure that the formulation retains its activity. The formulations were found to be stable. Hence, from the overall study it can be concluded that nimesulide gels along with different penetration enhancers can be prepared to improve the permeation through the skin surface.
A Review on Instrumentation Amplifier and Methods to Improve CMRR

Many bio signals are encountered in day to day lifewhich can be measured by using an electrode. Therefore, to measure these signals electrodes are placed in contact with human body so that these signals can be converted into electrical signals. But these signals are of less amplitude i.e. few milivolts and they acquire unwanted noise signals from the surroundings. It is required to suppress these unwanted noise signals as well as to amplify these low magnitude signals and therefore a very large CMRR is required for that. CMRR is an important parameter in deciding the efficiency of INA, as large CMRR implies that noise factor would be very less. So this paper reviews some basic principles of the classic three op-amp instrumentation amplifier and some methods to increase CMRR so as to reduce common mode signals in low amplitude and low frequency signal.
DESIGN, DEVELOPMENT AND CHARACTERIZATION OF MOUTH DISSOLVING TABLETS OF CINNARIZINE USING SUPER-DISINTEGRANTS

The demand for mouth dissolving tablets has been growing, during the last decade especially for geriatric and pediatric patients because of swallowing difficulties. Cinnarizine is H1-receptor antagonist and widely used in the treatment of motion sickness, vomiting and vertigo. Mouth dissolving tablets of cinnarizine were prepared by effervescent, superdisintegrant addition and sublimation methods. All the three formulations were evaluated for disintegration time, hardness and friability, among this Superdisintegrant addition method showed lowest disintegration time, hence it was selected for further studies. Further nine batches (B1-B9) were prepared by using crospovidone, croscarmellose sodium and L-HPC in different concentrations such as 5%, 7.5% and 10%. All the formulations were evaluated for weight variation, hardness, friability, drug content, in-vitro disintegration time, wetting time, in-vitro dissolution. Formulation with 10% L-HPC showed the less disintegration time (25.3 seconds) and less wetting time (29.1 seconds). In-vitro dissolution studies showed 100% drug release at the end of 6 minutes.
A SURVEY ON OPINION MINING FROM ONLINE REVIEW SENTENCES

- Nowadays, if one wants to by a product, consumer is no longer limited to asking friends and family for opinions because there are many user reviews and discussions in public forums on the Web about the product. Opinion targets from online reviews is an important and challenging task in opinion mining. Large amount of user generated data is present on web in the form of blogs, reviews tweets, comments etc. The internet users not only use the available resources in the web, but also give their feedback, thus generating additional useful information. Due to overwhelming amount of user’s opinions, views, feedback and suggestions available through the web resources, it’s very much essential to explore, analyze and organize their views for better decision making. Opinion Mining or Sentiment Analysis is a Natural Language Processing and Information Extraction task that identifies the user’s views or opinions explained in the form of positive, negative or neutral comments and quotes underlying the text.
REVIEW ON DESULFATION OF LEAD-ACID BATTERY FOR HEV

In today’s world, Electric Hybrid Vehicle (EHV) is a prevailing vehicle technology in that the major part is electric battery.Leadacid battery is the widely usable battery in the EHV because of its cost and efficiency. The real disadvantage in lead-acid battery is that it easily sulfates because of improper charging or discharging. Hence, desulfation circuit or charge controller is placed along with the rechargeable lead-acid battery for proper charging and subsequently sulfation gets reduced. Numerous research techniques are proposed for this desulfation or charge controlling are inspected in this paper. The desulfation or charge controlling of lead-acid batteries done based upon various techniques and our audit made according to various methods such as pulse width modulation (PWM), pressure feedback, resonant frequency, chemical reaction and artificial intelligent. Eventually, the direction for the future research is talked about in view of the survey investigation.
A survey of Big Data Analytics Techniques in Cyber Security

: In the time of huge information, there are a great deal of examination strategies and procedures for analyzing large data sets and acquiring applicable outcomes that are proposed to be used for specific purposes in various ranges of business.In the virtual environments, many attacks are launched for obtaining advantages through information leakages from their targets. The motivation behind investigation techniques in digital security is to end up distinctly more adaptable with changes in adversary behaviors. Visual examination and prediction algorithms seem to contribute considerable a lot in resolving cyber security issues. Exploring large data sets, achieving knowledge, forensic investigation, are representing the most known cases in cyber security big data solutions.To get significant information from analytics, the most important steps to take before analyzing data are to normalize, eliminate duplicates and put it in a format that can enhance the proficiency of an algorithm. Normalizing data is a pre-process that incorporate capacities and systems for sorting, mining, connection information and so forth.
Investigating Volutaria abyssinica as a potential source for cytotoxic sesquiterpenoids

Phytochemical investigation of Volutaria abyssinica (A. Rich.) C. Jeffrey led to the isolation of three sesquiterpene lactones, viz., amberboin, lipidiol and cynaropicrin along with daucosterol and 20-hydroxy ecdysone. All these compounds are identified for the first time in the plant. Their structures were determined based on chemical and spectroscopic data. The sesquiterpene lactones were evaluated for their in vitro cytotoxicity against four human tumor cell lines and the results were explained through a molecular modeling study. [Marzouk, A M. Investigating Volutaria abyssinica as a potential source for cytotoxic sesquiterpenoids. J Am Sci 2015;11(8):73-81]. (ISSN: 1545-1003). http://www.jofamericanscience. org
A Computational Model of Spatial Learning by a Person with Visual Disability: An Exploratory Study

: A computational model, named as Non-visual Spatial Learning (NSL) model, of spatial learning by a person with visual disability through virtual environment (VE) is proposed in this paper. We report an experiment that investigates the validity of our NSL model by prototype system implementation based on the model. Fourteen participants ranging from 17 to 35 years old participated in experiment. They were divided in to two groups — bind-folded sighted (8 participants), and blind (6 participants). They learned spatial layout in VE using two exploration modes: guided (training phase) and unguided (testing phase). In unguided exploration mode, spatial layout knowledge was assessed by asking participants to perform object localization task and target-object task. The results reveal that there were significant improvements in post-training navigation performance of the participants.
Question Level based Opinion Generation in Web based Interactive Systems

: The greatest challenge in opinion generation system is to understand the meaning of the question asked and answering the question correctly based on the knowledge level of users. The solution for this is the question level based opinion generation system, which generate opinions by understanding the in-depth meaning of the question. Opinions are extracted from reviews on different websites. System uses lexical based algorithm for finding the semantic relation between words and thus obtains the keyword used to retrieve the opinions. System also uses transformation based classification to learn the system. Transformation classification is based on rules and is ends up when no more transformation is possible for the data.
Some Properties of Bi2Te3 and PbTe Microwires and Converters on Their Basis

Owning to the miniaturization of solid state electronic devices, the problem of studying the physical and physicochemical processes in low-dimensional condensed systems, in addition to scientific interest, is of particular practical significance. In theoretical terms, this is due to the fact that a one-dimensional model has simpler solutions; in the experimental aspect, this is the possibility to obtain highly perfect single crystals, in which size effects are more severe than, for example, in thin layers, due to two-dimensional limitations. In practical terms, these systems can be used in all modern fields of solid state electronics, because these materials make it possible to solve some problems in instrument engineering related to miniaturization, the increase in accuracy and stability, and the expansion of range of allowed climatic and mechanical effects. The small diameter of a microwire (MW) (1 • 10 m) provides a significant reduction in the weight and dimensions of elements made of MWs and decreases their mechanical, thermal, and electrical inertia. The solid insulation protects the core material from the interaction with the environment, which contributes to an increase in the stability, strength, and other parameters of sensors prepared on their basis. Narrow-gap semiconductors, such as lead telluride (PbTe) and bismuth telluride (Bi2Te3) are promising materials used in thermoelectrics, optoelectronics, and laser technology. Therefore, systems of complex components based on them, in particular, thin films and MWs, have been intensively studied in recent years [1-5], the more so as the problem of production of converters on their basis cannot be currently considered solved.