Miracle-dz/UniFAR-FTUs huggingface dataset:
Child development with the D-score: turning milestones into measurement

The chapter equips the reader with a basic understanding of robust psychometric methods that are needed to turn developmental milestones into measurements, introducing the fundamental issues in defining a unit for child development and demonstrates the relevant quantitative methodology. It reviews quantitative approaches to measuring child development;introduces the Rasch model in a non-technical way;shows how to estimate model parameters from real data;puts forth a set of principles for model evaluation and assessment of scale quality;analyses the relation between early D-scores and later intelligence;and compares the D-scores from three studies that all use the same instrument.
Children's Beliefs about the Social Consequences of Emotional Expression; ; Jose Feito

Children’s Beliefs about the Social Consequences of Emotional Expression by José Alfonso Feito Doctor of Philosophy in Psychology University of California, Berkeley Professor Christina Maslach, Chair This study investigated young children’s expectations regarding others’ potential reactions to their emotional displays. These expectations were considered precursors to the display rules for emotional expression evident in middle childhood. Possible gender differences in the children’s expectancies for the expression of anger, sadness and fear were examined. Preschool and early grade school children (ages 4.3-6.4 & 7.0-8.7, respectively) were presented with eight hypothetical narratives illustrated with felt puppets. The identity of an audience figure accompanying the protagonist of each narrative varied between subjects in three experimental conditions: mother, father, and same-sex peer. The narratives also varied the social context within which the protagonist expressed an emotion. The scenarios were qualitatively coded to assess if children expected favorable or unfavorable reactions from the audience figure to the protagonist’s emotional display. The expression of anger elicited substantial unfavorable expectancies from children in both age groups but the expression of sadness and fear did not. It was theorized that the display rules for these emotions have different developmental timelines.
Real-Time Object Recognition Using Deep-Learning

The great interest at the moment is focused on the field of technology, especially artificial intelligence, also do not devoid of our daily life of the use of phone applications and computer programs, that increasing of phone and computer usage demands more programs and applications to satisfy the needs of users. However, this approach starts with acquirement an image of a particular medical or engineering tool, is displayed on the computer through a webcam, whether this image is a photo or digital through a display screen, or even the device itself, the computer will identify the tool and a simplified explanation of the way it works with a video demonstration throughout MATLAB IDE for implementing this project as well as easy to use by anyone even the user doesn’t have any experience software. Finally, this approach has been created this project to save time and effort for the users instead of searching on a specific tool that they need about its name, how to use so we tried to facility this matter. The proposed algorithm got accurate result, for the doctor’s tools the accuracy was 95.8 %, for the engineer’s tools was 98.3 % and for mix of them was approximately 94.1 %.
A Doubly Accelerated Inexact Proximal Point Method for Nonconvex Composite Optimization Problems

This paper describes and establishes the iteration-complexity of a doubly accelerated inexact proximal point (D-AIPP) method for solving the nonconvex composite minimization problem whose objective function is of the form $f+h$ where $f$ is a (possibly nonconvex) differentiable function whose gradient is Lipschitz continuous and $h$ is a closed convex function with bounded domain. D-AIPP performs two types of iterations, namely, inner and outer ones. Its outer iterations correspond to the ones of the accelerated inexact proximal point scheme. Its inner iterations are the ones performed by an accelerated composite gradient method for inexactly solving the convex proximal subproblems generated during the outer iterations. Thus, D-AIPP employs both inner and outer accelerations.
Intestinal Failure and Short Bowel Syndrome in Crohn’s Disease: A Systematic Review

Crohn's disease (CD) is an inflammatory, chronic and progressive disease that affects the digestive tract. Despite optimized drug therapy, the risk of multiple surgical interventions over the years is high, leading the patient to develop short bowel syndrome (SBS). Thus, adequate management in the postoperative period directly interferes with the long-term prognosis. Initially, most of these patients, due to hydro electrolytic disorders and absorptive incapacity inherent in SBS, will need parenteral nutritional support. According to the patient's residual digestive profile and according to nutritional management (oral, enteral, and/or parenteral), the intestine will evolve in its adaptive capacity. During this period, control agents are used for motility and intestinal secretion and, if necessary, GLP-2 agonists (intestinotrophic). In cases refractory to these treatments, we can still indicate surgical procedures to control motility, increasing intestinal length, and, finally, transplantation. CD is recurrent, and patients with SBS need a multidisciplinary approach with continuous monitoring to provide better intestinal rehabilitation and consequent quality of life.
The Effect of Market-Oriented Subcultures on Post-Merger Higher Education Institutions

Over the last decade, HEIs (higher education institutions) around the world have undergone transformation for a number of reasons, including mergers and acquisitions. The reasons for this vary from remaining competitive in an ever-increasingly competitive academic environment to being forced to do so. With deeply engrained traditions, long tenures and substantial professional autonomy on the one hand and fragmentation, subcultures and a sense of territory and boundary on the other, the consequences of merging such cultures are significant. The BBS (Budapest Business School) has had to deal with this merging of cultures and subcultures whilst at the same time deal with a greater market-orientation as it strives to move further away from the budget-commanded regime towards a market-oriented operation. To investigate the make-up of the organisational culture of the BBS and consider its orientation, a multi-method approach was considered using the Competing Values Framework for quantitative analysis and cognitive mapping with focus groups and one-to-one interviews for a qualitative analysis. Potential difficulties are considered within this context.
Control of Active Power Decoupling Circuit Based on Parametric Oscillator

In this article, we tested the buck-plus-unfolder bidirectional converter as the active power decoupling circuit to suppress the unknown low-frequency ripples on the dc bus. Due to its bipolar operation, the buffering capacitor voltage needs to be half of the frequency of the disturbance. We exploit the parametric resonance phenomenon to build a virtual oscillator controller for the converter. Unlike direct resonance, the parametric one occurs when the parameter of the reactive element of the oscillator varies around twice of the resonance frequency. The dc bus voltage ripple is chosen as the modulation signal for the oscillator. A frequency adaptive mechanism is further embedded in the controller to update the resonance frequency. With the references constructed from the states of the oscillator, a proportional-feedforward controller is designed to track the reference for the buffering capacitor voltage. The proposed control algorithm has been verified by both simulation and experiments.
Phishing Webpage Detection using Hybrid Features and Deep Learning Techniques

Phishing is a sort of online assault that endeavors to cheat delicate data of organization clients. Current phishing website page discovery strategies primarily utilize manual component assortment, and there are issues that include extraction is muddled and the conceivable connection between's highlights can't be stayed away from. To tackle the issues, another phishing site page location model is proposed, among which the primary segments are programmed taking in portrayals from multi-perspectives highlights through portrayal learning and extricating highlights by mixture profound learning organization. Initially, the model treats URL, HTML page substance, and document object model design of pages as character arrangements individually, also, utilizes portrayal learning innovation to consequently get familiar with the portrayal of the pages; at that point, sends different portrayals to a half breed profound learning network made out of a convolutional neural network also, a bidirectional long and transient memory network through various channels to separate neighborhood and worldwide highlights, and utilize the consideration component to fortify the influence of significant highlights; finally, the yield of various channels is combined to acknowledge classification expectation. Through four arrangements of trials to check the recognition impact of the model, the outcomes show that the general classification impact of the model is superior to the current exemplary phishing site page discovery strategies, the exactness arrives at 98.05%, and the bogus positive rate is just 0.25%. It is demonstrated that the techniques of extricating website page highlights from all angles through portrayal learning and cross breed profound learning organization can successfully improve the discovery impact of phishing site pages.
Bi-level variable selection in semiparametric transformation mixture cure models for right-censored data

Abstract We investigate the bi-level variable selection problem in semiparametric transformation mixture cure models (STMCM). In this type of mixture cure models, we consider a class of semiparametric transformation models for the conditional survival function and a logistic regression for the incidence component, then conduct group variable selection. The group bridge penalty is adopted for bi-level variable selection on both parts of the mixture cure models. Through simulation studies and real data analyses, we show that the proposed method can identify the important variables and groups that contribute to the cure proportion and the survival function for the uncured subjects, respectively.
Nickel Removal by the Aquatic Plant (Ceratophyllum Demersum L.)

Phytoremediation with aquatic plants is a new, effective and inexpensive method for improving water quality and wastewater. In this study, Nickel removal by the aquatic plant, coontail (Ceratophyllum demersum L.), native hydrophyte of most of Iran's rivers, was reviewed after optimum growing pH nomination, within 14 days cultivation in contaminated Hoagland nutrient solution, at the four different concentration of nickel (0, 1, 2, 4, and 6 mg L -1 ). With daily analysis of nickel concentration in cultivation solution and also initial and final concentration of this element in plant, nickel phytoextraction potential evaluated, and nickel biological effects on coontail grows with biomass production was studied. Maximum removal efficiency was 50% calculated from 6 mg L -1 metal concentration. Maximum bioconcentration factor and maximum uptake index calculated from 6 mg L -1 metal concentration were 338.65 and 5.05 mg, respectively. Maximum (3.6 g/day) and minimum (1.27 g/day) biomass production index caused from 0 mg L -1 and 6 mg L -1 of pollutant concentrations. Based on the results, nickel phytoremediation of industrial wastewater by coontail is applicable.
An Anxiety Phenomenon in Reading Scientific Articles in Indonesian and English: A Neurolinguistics Analysis

This study aims to describe the activation of anxiety in reading scientific articles in Indonesian and English. Activation of anxiety was assessed based on brain tomography when reading was performed. This study used a oneshot case study. The elements described were the interpretations of the results of the EEG recording, including brain waves and brain maps in the form of brain tomography maps through neurolinguistic analysis using Standardized Low-Resolution Electromagnetic Brain Tomography (sLORETA). This study revealed that the condition of anxiety in reading activities occurs due to cognitive branching, failure to recognize words and failure to encode them into memory. The sLORETA method on reading activities can show the correct localization according to the activated brain function.
The magnitude of stereopsis in peripheral visual fields

Methods: Sixteen volunteers (mean age, 21.1 ± 1.5 years old), with normal visual fields and stereopsis, were enrolled in this study. The subjects were asked to fix their attention on a central fixation target on the screen, and the stereopsis target was shown with a binocular disparity so that it stood out from the surrounding images. In this system, stereopsis targets were indicated randomly at 10° , 20° , and 30° on 8 meridians radiating from the central target. Results: The perception of stereopsis declined significantly the further away a target was from the central target (mean stereoacuity of 8 meridians radiating on 10° , 474 ± 202 arcsecs; 20° , 725 ± 704 arcsecs; and 30° , 1,223 ± 1,101 arcsecs). Moreover, stereoacuity from the central target to 30° directly below it tended to be better than that in other directions. Conclusions: When the stereo images appeared in the peripheral visual fields, normal subjects, between the ages of 20 to 22 years old, recognized stereo images of 3,600 arcsecs and over within the central 30° of the visual field. Furthermore, the stereopsis in the lower visual field was clearer than in the other visual fields.
Newly Arrived South Asian Students’ Experience with the Canadian Healthcare System

In this article, we report on the experiences of newly arrived South Asian international students (undergraduate and graduate levels) with accessing healthcare services in a small town setting in British Columbia, Canada. The objective of the study was to better understand the barriers and facilitators of accessing healthcare services. We used a qualitative design with an exploratory approach and conducted 8 semi-structured interviews with South Asians students that had newly arrived in the city of Kamloops and had been enrolled at Thompson Rivers University (TRU) for less than 12 months. Findings included barriers such as needing more information during on campus orientation, inefficiencies of the healthcare system, and accessing healthcare service. Facilitators of accessing healthcare services included attending campus orientation, having a curiosity, and a social support system. These findings provide new knowledge regarding the barriers and facilitators of accessing healthcare in Canada. In order to better meet the needs of international students programs and services must be tailored to this unique group of students.
Effect of Cacao on Plasma F2-Isoprostane Level, CD34 and ICAM-1 Expression of Coronary Arteries in Cigarette Smoking Exposed Rats

This research aimed to evaluate cardioprotective effects of cacao in smoking exposure condition that the effects were mediated through the anti-oxidant pathway by measure plasma F2-isoprostane level, Endothelial Progenitor Cell (EPC) enhancement by expression of CD34, while dysfunction endothelial condition was measured by expression of ICAM-1 in coronary arteries. This study subjected rats, divided into four groups: the normal control group (2 ml of aqua bidest, air exposure); the cigarette control group (2 ml of aqua bidest, cigarette smoke); cacao group 1 (1205 mg/kg BW/day, cigarette smoke); cocoa group 2 (2410 mg/kg BW/day, cigarette smoke). The oxidant biomarker, F2-isoprostane level was assessed using ELISA; CD34, and ICAM-1 expression in coronary arteries by immunohistochemistry. Cacao 1205 mg/kg BW/day significantly decreases plasma F2-isoprostane level, and ICAM-1 expression of coronary arteries in cigarette smoking exposed rat (p < 0.05) but there was not a significant increases CD34 (p < 0.05). Cocoa in cigarette smoke-exposed rats can prevent endothelial dysfunction through decrease F2-isoprostane but not increase CD34. The results of this study can be used as a basis for preventing endothelial dysfunction due to cigarette smoke by using cacao.
Long-Term Data Traffic Forecasting for Network Dimensioning in LTE with Short Time Series

Network dimensioning is a critical task in current mobile networks, as any failure in this process leads to degraded user experience or unnecessary upgrades of network resources. For this purpose, radio planning tools often predict monthly busy-hour data traffic to detect capacity bottlenecks in advance. Supervised Learning (SL) arises as a promising solution to improve predictions obtained with legacy approaches. Previous works have shown that deep learning outperforms classical time series analysis when predicting data traffic in cellular networks in the short term (seconds/minutes) and medium term (hours/days) from long historical data series. However, long-term forecasting (several months horizon) performed in radio planning tools relies on short and noisy time series, thus requiring a separate analysis. In this work, we present the first study comparing SL and time series analysis approaches to predict monthly busy-hour data traffic on a cell basis in a live LTE network. To this end, an extensive dataset is collected, comprising data traffic per cell for a whole country during 30 months. The considered methods include Random Forest, different Neural Networks, Support Vector Regression, Seasonal Auto Regressive Integrated Moving Average and Additive Holt–Winters. Results show that SL models outperform time series approaches, while reducing data storage capacity requirements. More importantly, unlike in short-term and medium-term traffic forecasting, non-deep SL approaches are competitive with deep learning while being more computationally efficient.
149 Evaluation of Hammermill Tip Speed, Air Assist, and Screen Hole Diameter on Ground Corn Characteristics

This study was performed to evaluate hammermill tip speed, assistive airflow and screen hole diameter on hammermill throughput and characteristics of ground corn. Corn was ground using two Andritz hammermills (Model: 4330–6, Andritz Feed & Biofuel, Muncy,PA) measuring 1-m in diameter each equipped with 72 hammers and 300 HP motors. Treatments were arranged in a 3 × 3 × 3 factorial design with 3 tip speeds (3,774, 4,975, and 6,176 m/min), 3 screen hole diameters (2.3, 3.9 and 6.3 mm), and 3 air flow rates (1,062, 1,416, and 1,770 fan RPM). Corn was ground on 3 separate days to create 3 replications and treatments were randomized within day. Samples were collected and analyzed for moisture, particle size, and flowability characteristics. Data were analyzed using the GLIMMIX procedure of SAS 9.4 with grinding run serving as the experimental unit and day serving as the block. There was a 3-way interaction for standard deviation (Sgw), (linear screen hole diameter × linear hammer tip speed × linear air flow, P = 0.029). There was a screen hole diameter × hammer tip speed interaction (P < 0.001) for geometric mean particle size dgw (P < 0.001) and composite flow index (CFI) (P < 0.001). When tip speed increased from 3,774 to 6,176 m/min the rate of decrease in dgw was greater as screen hole diameter increased from 2.3 to 6.3 mm resulting in a 67, 111, and 254 µm decrease in dgw for corn ground using the 2.3, 3.9, and 6.3 mm screen hole diameter, respectively. For CFI, increasing tip speed decreased the CFI of ground corn when ground using the 3.9 and 6.3 mm screen. However, when grinding corn using the 2.3 mm screen, there was no evidence of difference in CFI when increasing tip speed. In conclusion, the air flow rate did not influence dgw of corn but hammer tip speed and screen size were altered and achieved a range of dgw from 304 to 617 µm.
Comparison of Antimicrobial Activity of Fluoride Varnishes Against Streptococcus mutans and Lactobacillus acidophilus: An In Vitro Study

Background: Topical fluoride products such as varnishes prevent dental caries by limiting demineralization and antibacterial properties. The structural and metabolic characteristics of cariogenic microorganisms are different from each other. Also, the formulation properties, concentration, and release behavior of fluoride vary in different varnishes. Objectives: In this study, we investigated the antibacterial effects of three types of common fluoride varnishes against two cariogenic bacteria of Streptococcus mutans (S.M.) and Lactobacillus acidophilus (L.A.). Methods: In this in vitro study, antibacterial effects of MI varnish [containing calcium phosphopeptide-amorphous calcium phosphate (CPP-ACP)], Polimo (containing xylitol), and FluoroDose varnishes were evaluated using disc diffusion method via measuring the diameter of the inhibition zone. The antibiotics of erythromycin and ampicillin were used as the positive control of the test. Analysis of variance (ANOVA) and post hoc tests were applied to compare the mean of non-growth zone diameter in the studied groups. Data were analyzed by SPSS 16. The statistical significance level was determined as P-value < 0.05. Results: The antibacterial effect of each varnish was optimal against both bacteria. In comparison, the mean diameter of the inhibition zone in MI varnish was significantly (P-value=0.019) higher than Polimo and FluoroDose brands on S.M. ; however, this difference was not statistically significant for L.A. Furthermore, Polimo and FluoroDose varnishes showed similar antimicrobial effects against these bacteria. Conclusions: The use of these varnishes seems to be suitable for preventing tooth decay. MI varnish is preferable because of its higher antibacterial properties.
Effects of partial substitution of fish meal with different levels of marine macroalgae species on growth indices and RNA/DNA ratio of hybrid red tilapia

The continuous increase in populations all over the world have led to a continual demand for novel resources to cover the growing needs for food (Paiva et al., 2018). Recently, fish and other products of fisheries are the most consumed protein sources being a precious source of the cheapest animal protein and other different major and micronutrients to all socioeconomic classes (Mahmoud et al., 2019). In addition, it is ARTICLE INFO ABSTRACT Article History: Received: March 29, 2021 Accepted: April 22, 2021 Online: June 3, 2021 _______________
Fixed-Point Arithmetic Unit with a Scaling Mechanism for FPGA-Based Embedded Systems

The work describes the new architecture of a fixed-point arithmetic unit. It is based on the use of integer arithmetic operations for which the information about the scale of the processed numbers is contained in the binary code of the arithmetic instruction being executed. Therefore, this approach is different from the typical way of implementing fixed-point operations on standard processors. The presented solution is also significantly different from the one used in floating-point arithmetic, as the decision to determine the appropriate scale is made at the stage of compiling the code and not during its execution. As a result, the real-time processing of real numbers is simplified and, therefore, faster. The described method provides a better ratio of the processing efficiency to the complexity of the digital system than other methods. In particular, the advantage of using the described method in FPGA-based embedded control systems should be indicated. Experimental tests on an industrial servo-drive confirm the correctness of the described solution.