Miracle-dz/UniFAR-FTUs huggingface dataset:
Resilient filtering for cyber‐physical systems under denial‐of‐service attacks

Owing to the deep integration of control, computation, and communication, cyber‐physical systems (CPSs) play an important role in wide real‐world applications. In this paper, we investigate the problem of resilient filter design of CPSs under malicious denial‐of‐service (DoS) attacks launched by adversaries. Firstly, based on two standard assumptions concerning with the frequency and duration of DoS attacks, we state the H∞ filtering problem for the CPSs under DoS attacks. Then, sufficient conditions are developed to ensure that, when there are DoS attacks, the filtering error dynamics of the underlying CPSs is mean square exponential stable with a prescribed H∞ disturbance attenuation performance. Furthermore, a switched filter is designed for CPSs under DoS attacks. Examples are given to illustrate the effectiveness and potential of the proposed new design techniques.
Molecular determinants of astrocyte morpho-functional changes in Alzheimer’s disease

As people are living longer, neurodegenerative disorders such as Alzheimer’s disease (AD) are becoming more prevalent but the pursuit for treatments has yet to deliver satisfactory results. By the time AD is diagnosed, the typical hallmarks of tangles and plaques are present and cognitive decline has occurred, pointing future research towards the early stages of the disease. Indeed, recent research has unearthed cell-autonomous atrophy of astrocytes in the early stages of AD, characterised by decreased cell size and loss of processes. This aberrant astrocyte morphology was present in both sporadic and familial AD models and manifests independently of senile plaques. These findings challenge the neuron-centric view of AD, granting glial cells an undeniable role in neurodegeneration. The exact mechanisms underlying aberrant astrocyte morphology are entirely unexplained. This thesis demonstrates that the Cas-family proteins, previously identified by GWAS as genetic risk-factors for late-onset AD, NEDD9 and CASS4 act as regulators of astrocyte morphology. Primary human cortical astrocytes were transiently transfected in vitro with vectors mediating the overexpression or siRNA-induced knockdown of either NEDD9 or CASS4. Concurrent expression of GFP, which localised throughout the entire cell, permitted the visualisation of complete cellular morphologies, including fine processes. Morphological analysis by visual binning into morphological subtypes or 3D reconstruction followed by morphometric quantifications (e.g. surface area, volume) revealed that overexpression or knockdown of either NEDD9 or CASS4 induced significant changes in astrocyte morphology compared to controls. Moreover, manipulation of Cas-protein levels induced altered expression and sub-cellular distribution of key astrocyte functional markers, including glial fibrillary acid protein (GFAP) and the calcium-binding protein, S100B; mimicking the pathological phenotype reported in human iPSC astrocyte models of AD. Hence, it appears that both NEDD9 and CASS4 are capable of inducing morphological and functional changes in human astrocytes and may therefore contribute to astrocyte pathology in AD.
On the Choice and Evaluation of Regularization Priors for CT/ PET Image Reconstruction

Computed Tomography and Positron Emission Tomography (CT/PET) are primary imaging tools for the clinical diagnosis. The main objective of the imaging tool is to minimize the radiation dose without sacrificing the quality of CT/PET images. To achieve this goal, a suitable regularization prior is incorporated with the iterative reconstruction method. The proposed model is a fusion of Maximum Likelihood Expectation Maximization (MLEM) with partial differential equation based anisotropic diffusion (AD) filter. The proposed method is capable enough to minimize the radiation dose, removing the staircase effects as well as handle the ill-posed issue. To check the validation of the proposed method, both qualitative and quantitative results are presented using the simulated and real test phantoms. The results shown that the proposed methods outperform the state-of-the-art methods.
Next generation sequencing of ovarian metastases of colorectal cancer

Patients presenting with ovarian tumors may pose diagnostic challenges. Primary ovarian tumors should be distinguished from metastases to the ovaries from other primary tumors. Treatment choices and statements about prognosis are different for localised or metastatic disease. Diagnostic workup including imaging and histologic examination of tumors is not always successful in deciphering the origin of tumors.Therefore, additional characterisation of tumors at a molecular level might be helpful.
CLINICAL MANIFESTATIONS AND INCIDENCE OF GLOBE SALVAGE AND PATIENT SURVIVAL IN THE CASES OF RETINOBLASTOMA

PURPOSE: To study clinical characteristics of Retinoblastoma and analyze the occurrences of patient survival and globe salvation. METHODS: This is a prospective and non-randomized study involving retinoblastoma patients at a tertiary institute from May, 2017 to May, 2019. All patients underwent comprehensive medical assessment and illness management investigations. The given treatment was recorded, including focal therapy, enucleation and chemotherapy. RESULTS: Leukocoria was the foremost common presentation (60.68%) followed by proptosis (12.3%). The patient survival rate was 87.7% whereas globe salvation was at 23.2% (19 eyes). CONCLUSION: Most patients came for clinical examination for rst time at a later stage of disease, having high risk clinical features such as positive family history, hyphema, and large tumor volume. More awareness and early stage diagnosis are of prime importance in order to achieve globe salvation in retinoblastoma.
Identifier of human emotions based on convolutional neural network for assistant robot

This paper proposes a solution for the problem of continuous prediction in real-time of the emotional state of a human user from the identification of characteristics in facial expressions. In robots whose main task is the care of people (children, sick or elderly people) is important to maintain a close relationship man-machine, anld a rapid response of the robot to the actions of the person under care. We propose to increase the level of intimacy of the robot, and its response to specific situations of the user, identifying in real time the emotion reflected by the person's face. This solution is integrated with algorithms of the research group related to the tracking of people for use on an assistant robot. The strategy used involves two stages of processing, the first involves the detection of faces using HOG and linear SVM, while the second identifies the emotion in the face using a CNN. The strategy was completely tested in the laboratory on our robotic platform, demonstrating high performance with low resource consumption. Through various controlled laboratory tests with different people, which forced a certain emotion on their faces, the scheme was able to identify the emotions with a success rate of 92%.
Genetic Counsellors' Preferences for Preimplantation Genetic Diagnosis: A Discrete Choice Experiment

Preimplantation genetic diagnosis (PGD) is a way of testing for a genetically affected embryo. Provincial PGD coverage differences along with ambiguity around scope of testing and patient inclusion criteria create a lack of clarity for public coverage options. A discrete choice experiment was undertaken with Canadian genetic counsellors (GC) to quantify their stated preferences for public PGD coverage, considering the following attributes: PGD indication, risk of the condition, fertility status, family history and number of cycles covered. The completed response rate was 41% with 126 GC completing the survey. Multinomial logit regression was used to estimate part-worth utilities. Key demographic and practice characteristics were considered as preference influences. Risk of the condition was the most important attribute. Overall, GC preferred scope of testing criteria over patient inclusion criteria. This is the first study to quantify GC preferences for PGD coverage and provides insight to help promote discussion about PGD policy.
Prevalence of Non-Alcoholic Fatty Liver and its Related Factors in Birjand, During Year 2015

Background: Fatty liver is one of the most common liver diseases across the world. Fatty Liver is characterized by deposition of fat inlivercells. Therefore,theaimof thisstudywastodeterminetheprevalenceof fattyliverandsomerelatedfactorsinBirjand,Iran. Methods: This was a cross sectional study and was performed on 520 individuals in Birjand, Iran. Ultrasonography, cholesterol (CHOL), low density cholesterol (LDL), high density cholesterol (HDL), triglyceride (TG), fasting blood sugar (FBS), and tests of liver enzymeswereperformed. ResultswereanalyzedusingSPSSversion16softwarebyMann-Whitney,chi-square(Fischerexacttest)and Kruskal-wallis with signiﬁcance level of α = 0.05. Results: The mean age of participants was 41.6 ± 13.7 (15 - 70). Males made up most of the subjects. Prevalence of fatty liver was estimated as 47.5% in Birjand. Results showed that fatty liver was associated with age, education, and marital status. People with primaryeducationhadahigherprevalenceof fattyliver. Also,withelevatedgradeof fattyliver,Alanineaminotransferase(ALT)level had a signiﬁcant increase (34.89 ± 29.3). Conclusions: Several factors were associated with fatty liver that should be considered eﬀectively. Also, increased awareness of the general population about non-alcoholic fatty liver is recommended.
Weight status and disordered sleep in preschool children, parents’ negative mood states and marital status

ABSTRACT Short sleep duration has increased in tandem with rising obesity levels in all age groups. Research on parent mental health and its relationship with childhood obesity has been growing in recent years. This cross-sectional study assessed children’s zBMI (Body Mass Index adjusted for age and sex) and parent-reported children’s sleep behaviors, parents’ negative emotional state, and parents’ marital status in a sample of 4- to 5-year-old children. Eight-hundred seventy-seven parents answered the DASS (Depression Anxiety Stress Scales) and CSHQ (Children’s Sleep Habit Questionnaire) and reported children’s height and weight. Children in the ≥ 85th percentile weight category had significantly more sleep behavior problems than children in the < 85th percentile weight category. Mothers of children in the ≥ 85th percentile weight category were more likely to be in the overweight/obese category and had more depressive symptoms than mothers of children in the < 85th percentile weight category. Single fathers had higher levels of anxiety and depression and their children had greater sleep behavior problems than fathers in a relationship/married. The findings indicate a difference between children below and above the 85th BMI percentile in terms of children’s sleep habits and parents’ negative emotional state.
A Study on Gestational Diabetes Mellitus and its Effect on Neonates in Bangladesh

Gestational Diabetes Mellitus (GDM) is a common metabolic disorder that occurs during pregnancy. GDM can cause significant problems, including maternal complications, perinatal complications, and metabolic disorders in offspring of mothers with GDM. The primary management method for women with GDM is nutritional therapy. Some women with GDM require diet therapy alone, while some women require both diet therapy and insulin therapy. The present study was aimed to assess the prevalence of (GDM) among the pregnant women in different districts of Bangladesh, and to find out the consequences or effects of GDM on pregnancy. The data were collected from 150 pregnant women from hospital located in Tongi, Narayanganj and Naogaon using a structured questionnaire. The prevalence of GDM was 18.67%. This present study also shows that, most of the patients (64%) had a history of diabetes in their family, very few patients (29%) had knowledge about diabetes in the past and they mostly took Insulin (57.14%) and Metformine HCl (42.86%) for managing GDM. All of the patients underwent caesarean section (100%) and 35.71% gave birth to a macrosomic baby. Among the patients, about 57% of them have had knowledge about GDM and 86% of them did exercise regularly. Most of the women (64.29%) had no other complication during their pregnancy period but 17.86% had pre-eclampsia during gestational period. Almost 64.29% of the babies were full term and 34.71% were not full term. Among them, premature babies were 60% and 40% were postmature. Diabetes prevention initiatives should be given high priority to avoid high rates of GDM in the future. But the gigantic problem of GDM cannot be solved by Government alone, so public awareness is the best way to reduce the prevalence and risk factors associated with GDM.
Indonesian Sign Language Letter Interpreter Application Using Leap Motion Control based on Naïve Bayes Classifier

Most deaf children are born into hearing families and the majority do not begin their Sign Language learning before age 3-6 in school. As children learning Sign Language from infancy show higher language proficiency than those who do not, it underlines the importance of hearing parents learning how to sign. The recent innovation in the technology and introduction of new gesture control based devices, like leap motion controller. Technology that can track finger and hand gestures accurately at very low cost. The research method in Naïve Bayes algorithm, in order to classify 26 alphabet letter of Indonesian sign language including letter J and Z which using gesture for describe it. The Leap Motion controller is a consumer gesture sensor aimed to augment a user’s interactive experience with their computer and it was utilized as an interface for hand motion tracking without the need of wearing any external instruments. It use for derive feature data from the deaf children gesture recording to set data in application. The accuracy level of the test result reached 96%.
Soap operas for social change to prevent HIV / AIDS: a training guide for journalists and media personnel.

This guide is designed to be used by journalists and media personnel to plan and execute the production and broadcast of Sabido-style entertainment-education serial dramas for HIV/AIDS prevention especially among women and girls. This is part of UNFPAs strategy to reinforce the capacities of journalists at the country level to prepare them to be informed agents of gender- and culturally-sensitive HIV prevention programs. Ideally the guide will serve as a reference tool during training workshops for journalists and media personnel organized by Population Media Center (PMC) and other institutions interested in reinforcing the capacities of journalists to convey effective messages on HIV/AIDS prevention. Thus the guide seeks to familiarize journalists and media personnel with the Sabido methodology for social change using entertainment-education format serial dramas broadcast over mass media channels (such as radio and television). (excerpt)
Analysis, Modeling, and Verification of Limited Angle Torque Motors With Irregular Slot Numbers for Performance Improvement

This article presents the theoretical analysis, numerical modeling and experimental verification of a novel limited angle torque motor (LATM) with an irregular slot number. Based on the magnetic circuit, analytical equations are derived for predicting the torque-angle characteristic of the LATM, including both the constant torque region and linear region. By these equations, the relationship between the performance and leading parameters is established, providing a reference for the quick design of LATM. The idea of utilizing the linear region to expand the angular operation range of LATM is then proposed. It is shown that by active control of the winding current, the linear region can be reasonably used. Due to larger cogging torque in the integral-slot LATM, an irregular slot number topology is proposed to suppress the cogging torque. The results are validated by finite element analysis, and further verified by experimental measurements on a prototype machine.
An Improved Sensorless Vector Control Method for IPMSM Drive with Small DC-Link Capacitors

In this paper, an improved sensorless vector control method for an interior permanent magnet synchronous motor (IPMSM) drive with small DC-link capacitors is proposed. First, a fast sliding-mode observer was applied, to enlarge the observer bandwidth. Then, an improved estimator based on a proportional integral resonant controller was designed for the estimate speed shaping, which means the actual speed can be tracked. This not only reduces the position estimate error, but also enhances the grid power factor and suppresses the input current harmonics. Simulation and experiments were conducted on a sensorless IPMSM drive system with a small film capacitor. The effectiveness of the proposed estimation method was verified by the simulation and experimental results. The estimated error was reduced and the grid current harmonics satisfy the requirements of EN61000-3-2.
The Effect of Reading Strategy Instruction on Reading Self-efficacy and Reading Attitudes: A Case of Young Female Iranian EFL Learners

The literature on foreign language reading instruction has witnessed a significant bulk of research reporting the effectiveness of strategy instruction in improving reading outcomes. However, few studies have investigated the effects of reading strategy instruction on reading affective variables among young English as a Foreign Language (EFL) learners. The aim of this study was to investigate the effect of teaching second language (L2) reading strategies on young Iranian EFL learners’ reading self-efficacy and reading attitudes. To this end, a sample of 48 Iranian EFL learners, aged 11-13, was recruited through convenience sampling and randomly assigned to an experimental group (N = 25) and a control group (N = 23). Using a quasi-experimental design, the researchers employed an experimental group that received a 12-week reading strategy instruction and a control group that were taught with the regular method without any strategy instruction. The Reading Self-Efficacy Questionnaire (RSEQ) and Reading Attitude Questionnaire (RAQ) were administered to measure the reading self-efficacy and reading attitudes of the participants as pre-test and post-test of the study. The strategy instruction intervention for the present study was based on Cognitive Academic Language Learning Approach (CALLA). The findings of the study indicated that the learners in the experimental group significantly outperformed those of the control group in terms of L2 reading self-efficacy. However, it was revealed that there was no significant difference between the reading attitudes of the two groups at the end of the semester. Overall, it may be concluded that EFL practitioners can incorporate teaching of reading strategies into their classrooms in order to help learners to gain both confidence and competence to address reading tasks more effectively.
A general self-adaptive under-relaxation strategy for fast and robust convergence of iterative calculation of incompressible flow

Abstract The method of successive under-relaxation (SUR) is an effective way for numerically solving a nonlinear system of equations governing the fluid flow and heat transfer, resulting in stable convergence. So far, there is not any doable applied method to determine the best relaxation factor of SUR. In this article, the interrelation among the diffusion term, the convection term and the under-relaxation term is regarded as the key to calculate the under-relaxation factor. Then, the self-adaptive under-relaxation factor strategy is proposed. The test calculation of two typical problems, lid-driven cavity flow, and flow over a backward-facing step is carried out based on the proposed self-adaptive under-relaxation strategy. It is proved that the present method is efficient and robust compared to the fixed under-relaxation factor method.
A high reliable low noise frequency synthesizer design

A high reliable and low noise frequency synthesizer was designed and manufactured by 0.18um SiGe BiCMOS process. The innovation of this paper is to use HBT with better 1 / f noise performance to replace MOS transistor to obtain better noise performance. The frequency synthesizer circuit is capable of producing 1.7GHz-2.3ghz RF output signal (one of the VCO output bands); The operating frequency of the frequency synthesizer is 800MHZ-5GHZ. The normalized phase noise of the frequency synthesizer reaches −230 dBc /Hz.
Forming automatic groups of learners using particle swarm optimization for applications of differentiated instruction

The aim of this paper is to present a method that uses computational intelligence techniques to classify students according to the principles of differentiated instruction. A clustering algorithm based on particle swarm optimization is applied to two sets of data emerging from the holistic assessment of the student's particular characteristics and needs. The results illustrate the algorithm's contribution to the effective formation of heterogeneous student groups, with the members of each having homogeneous characteristics of skills, difficulties, psychosocial and cognitive profiles. Thus, the teacher can easily manage students, by knowing the characteristics of each group. A comparison with a genetic algorithm as well as cuckoo search algorithm shows that the proposed method provides improved categorization capabilities.
LC-MS characterization of acid degradation products of metoclopramide: Development and validation of a stability-indicating RP-HPLC method

The present study aims to develop a simple, accurate and specific stability-indicating RP-HPLC technique for the analysis of metoclopramide in the presence of its stress degradation products and characterization of degradation compounds by LC-MS/MS analysis. As per ICH Q1A-R2 guidelines, the drug was exposed to acid hydrolytic stress condition. Three degradation products were formed for MCP in acid hydrolysis. The liquid chromatography was processed on a Luna C18-(2) 100A,250×4.6mm 5micron column using an isocratic mobile phase consisting of 0.1% formic acid in water-acetonitrile (20:80, v/v) by adjusting the mobile phase at 1 ml/min flow rate with wavelength detection at 273 nm. The developed procedure was applied to LC-MS/MS (liquid chromatography-tandem mass spectrometry) for the characterization of all the degradant components. Total new three degradation compounds were recognized and identified by LC-MS/MS. The developed RP-HPLC technique was validated as per the ICH Q2-R1 guidelines. Limit of detection and limit of quantification values of MCP were evaluated from the linearity graph and were found to be 5.23 µg/ml and 17.44 µg/ml. Accuracy study was established at 80.0, 100.0 and 120.0 µg/ml concentration levels and the findings were found in the range of 98.4% - 101.8%. The linearity of the technique was assessed over the drug concentration range of 50.0 µg/ml to 250.0 µg/ml and the regression equation, slope and correlation coefficient values were found to be y = 10618x + 1623.2, 10618 and 0.9996 respectively. The developed technique was uninterruptedly applied for the quantification of metoclopramide inactive pharmaceuticals.