Miracle-dz/UniFAR-FTUs huggingface dataset:
Screening strategies for tubal factor subfertility.

BACKGROUND Different screening strategies exist to estimate the risk of tubal factor subfertility, preceding laparoscopy. Three screening strategies, comprising Chlamydia trachomatis IgG antibody testing (CAT), high-sensitivity C-reactive protein (hs-CRP) testing and hysterosalpingography (HSG), were explored using laparoscopy as reference standard and the occurrence of a spontaneous pregnancy as a surrogate marker for the absence of tubal pathology. METHODS In this observational study, 642 subfertile women, who underwent tubal testing, participated. Data on serological testing, HSG, laparoscopy and interval conception were collected. Multiple imputations were used to compensate for missing data. RESULTS Strategy A (HSG) has limited value in estimating the risk of tubal pathology. Strategy B (CAT-->HSG) shows that CAT significantly discerns patients with a high versus low risk of tubal pathology, whereas HSG following CAT has no additional value. Strategy C (CAT-->hs-CRP-->HSG) demonstrates that hs-CRP may be valuable in CAT-positive patients only and HSG has no additional value. CONCLUSIONS CAT is proposed as first screening test for tubal factor subfertility. In CAT-negative women, HSG may be performed because of its high specificity and fertility-enhancing effect. In CAT-positive women, hs-CRP seems promising, whereas HSG has no additional value. The position and timing of laparoscopy deserves critical reappraisal.
Classifying Mathematical Expressions Written in MathML

SUMMARY In this paper, we study how to automatically classify mathematical expressions written in MathML (Mathematical Markup Language). It is an essential preprocess to resolve analysis problems originated from multi-meaning mathematical symbols. We first define twelve equation classes based on chapter information of mathematics textbooks and then conduct various experiments. Experimental results show an accuracy of 94.75%, by employing the feature combination of tags, operators,
Determinants of neuropsychological and behavioural outcomes in early childhood survivors of congenital heart disease

Aims: To evaluate the relative effect of cyanosis, surgical interventions and family processes on neuropsychological and behavioural outcomes in 4-year-old survivors of serious congenital heart disease (CHD). Methods: 90 children with a range of cyanotic and acyanotic conditions, who underwent either corrective or palliative surgery, completed a neuropsychological and behavioural evaluation. Families of participants were also profiled by evaluation of maternal mental health, worry, social support, parenting style and family functioning. Results: Compromised neuropsychological outcomes were associated with a combination of cyanotic conditions and open-heart surgery, but this was not exacerbated by having a complex, palliative, status. Both cyanotic and acyanotic conditions were associated with specific sensorimotor delays, regardless of method of the correction. Only children with complex conditions and palliative interventions seemed at risk of poor behavioural outcomes; indeed, children with cyanosis with complete repair showed favourable behavioural outcomes compared with controls. Multivariate analyses highlighted the sometimes greater relevance of family processes (eg parenting style, maternal mental health and worry), rather than disease or surgical factors, in predicting especially behavioural outcomes. Conclusions: The findings (1) suggest a more complex relationship between cyanosis, surgical methods of correction, neuropsychological and behavioural outcomes than previously charted, (2) highlight that family processes may be aetiologically more important than disease and surgical factors, and (3) indicate specific targets for secondary prevention programmes for this at-risk population.
A Systematic Review on Semantic-based Ontology for Quranic Knowledge

The Holy Quran ontology models are gaining popularity among researchers due to people’s demands in understanding this divine book. Due to this, there are many studies and research have been conducted in this area to facilitate people’s understanding of the Quran. The Quran knowledge is represented conforming to an ontology within a system framework. This also includes various concepts that are interrelated with the others. From the literature, however, the existing Quranic ontology models do not cover all concepts in the Quran, which limit them to domains such as place nouns, themes, pronouns, antonyms and Islamic knowledge in the Quran. Thus, this research aims to identify relevant research works from various electronic data sources using systematic literature review (SLR) method to provide a comprehensive review of this area. This paper presents a systematic review of the literature related to the existing ontology models, where it leads to disseminating the correct knowledge of the Quran using semantic technologies.
Dynamic Behavioral Analysis of Malicious Software with Norman Sandbox

VIII CHAPTER 1 – INTRODUCTION 1 Time Frame of a Virus Definition Update 2 Signature-Based Matching Method 3 Behavioral Heuristics Mechanisms 4 CHAPTER 2 – RELATED WORK 7 CHAPTER 3 – DESIGN AND IMPLEMENTATION 9 Overview of Approach 9 Setup . 10 Samples 10 Generating System Interaction Logs 11 Creating the Behavior Database 13 Parsing Interaction Logs into the Database 16 CHAPTER 4 – BEHAVIOR EXTRACTION 19 Single Behavior Analysis 19 Pattern Behavior Analysis 20 CHAPTER 5 – STATISTICAL ANALYSIS 24 Single Behavior Findings 24
Anger and Anger Regulation Among Adolescents: A Consideration of Sex and Age Differences

Although adolescents often struggle to regulate their anger, few studies have examined anger regulation within the period of adolescence. In view of this, this study explored potential sex and age differences in anger experience, expressions, and control among Grades 8–12 adolescents (n = 766) in Western Canada. Anger regulation was evaluated by the State-Trait Anger Expression Inventory. Three separate multivariate analyses of variance and post hoc tests were performed. Results revealed that Grade 12 students experienced more anger than Grade 8 students. Furthermore, Grades 10–12 students engaged in greater levels of anger-expressive suppression compared with those in Grade 8; Grade 12 students also suppressed their anger more than Grade 9 students. Lastly, girls were less likely to control their outward anger as compared with boys. These results provide important implications for intervention efforts by suggesting nonlinear developmental patterns in anger experience and expressions as well as sex differences in anger control. Alors que les adolescents ont souvent du mal à gérer leur colère, peu d’études se sont penchées sur la gestion de la colère pendant l’adolescence. À cet égard, la présente étude a exploré les différences potentielles selon le sexe et l’âge chez des adolescents allant de la 8e année à la 12e année (n = 766) dans l’ouest du Canada. La gestion de la colère a été évaluée au moyen de l’Inventaire des expériences de colère trait-état. Trois analyses multivariées distinctes de tests de variance et à postériori ont été effectuées. Les résultats ont révélé que les élèves de 12e année éprouvaient plus de colère que les élèves de 8e année. Qui plus est, les étudiants de la 10e à la 12e année ont affiché de plus hauts taux de répression de la colère comparativement à ceux de la 8e année; les étudiants de la 12e année ont aussi réprimé leur colère davantage que ceux de la 9e année. Enfin, les filles étaient moins susceptibles de contrôler leur colère extérieure que les garçons. Ces résultats comportent des implications importantes pour ce qui est des efforts d’intervention en suggérant des modèles de développement non linéaire pour l’expérience et l’expression de la colère ainsi que des différences au niveau des sexes pour ce qui est du contrôle de la colère.
An Additive Model View to Sparse Gaussian Process Classifier Design

We consider the problem of designing a sparse Gaussian process classifier (SGPC) that generalizes well. Viewing SGPC design as constructing an additive model like in boosting, we present an efficient and effective SGPC design method to perform a stage-wise optimization of a predictive loss function. We introduce new methods for two key components viz., site parameter estimation and basis vector selection in any SGPC design. The proposed adaptive sampling based basis vector selection method aids in achieving improved generalization performance at a reduced computational cost. This method can also be used in conjunction with any other site parameter estimation methods. It has similar computational and storage complexities as the well-known information vector machine and is suitable for large datasets. The hyperparameters can be determined by optimizing a predictive loss function. The experimental results show better generalization performance of the proposed basis vector selection method on several benchmark datasets, particularly for relatively smaller basis vector set sizes or on difficult datasets.
Image interpolation using oriented wavelet transforms

A novel directionally adaptive image interpolation method based on the oriented wavelet transforms is proposed. The method uses the wavelet transforms built along multiple directions (directionlets) to efficiently capture directional features and to extract edge information from the low-resolution image. Then, the high-resolution image is synthesized using the extracted information to preserve sharpness of edges and texture. The novel interpolation algorithm outperforms the state-of-the-art methods in terms of both numeric and visual quality of the interpolated image.
An Implementation of real-time phased array radar fundamental functions on DSP-focused, high performance embedded computing platform

This paper investigates the feasibility of real-time, multiple channel processing of a digital phased array system backend design, with focus on high-performance embedded computing (HPEC) platforms constructed based on general purpose digital signal processor (DSP). Serial RapidIO (SRIO) is used as inter-chip connection backend protocol to support the inter-core communications and parallelisms. Performance benchmark was obtained based on a SRIO system chassis and emulated configuration similar to a field scale demonstrator of Multi-functional Phased Array Radar (MPAR). An interesting aspect of this work is comparison between “raw and low-level” DSP processing and emerging tools that systematically take advantages of the parallelism and multi-core capability, such as OpenCL and OpenMP. Comparisons with other backend HPEC solutions, such as FPGA and GPU, are also provided through analysis and experiments.
Functional Importance of Mobile Ribosomal Proteins

Although the dynamic motions and peptidyl transferase activity seem to be embedded in the rRNAs, the ribosome contains more than 50 ribosomal proteins (r-proteins), whose functions remain largely elusive. Also, the precise forms of some of these r-proteins, as being part of the ribosome, are not structurally solved due to their high flexibility, which hinders the efforts in their functional elucidation. Owing to recent advances in cryo-electron microscopy, single-molecule techniques, and theoretical modeling, much has been learned about the dynamics of these r-proteins. Surprisingly, allosteric regulations have been found in between spatially separated components as distant as those in the opposite sides of the ribosome. Here, we focus on the functional roles and intricate regulations of the mobile L1 and L12 stalks and L9 and S1 proteins. Conformational flexibility also enables versatile functions for r-proteins beyond translation. The arrangement of r-proteins may be under evolutionary pressure that fine-tunes mass distributions for optimal structural dynamics and catalytic activity of the ribosome.
A case study to illustrate the use of non-convex membership functions for linguistic terms

Terms used in fuzzy systems are almost invariably normalised, convex and distinct. The shapes of these terms are generated by certain accepted membership functions: piecewise linear functions, Gaussians or Sigmoids are almost exclusively used. This paper extends previous work in which it was suggested that non-convex membership functions might be considered for use in the context of modelling human decision making utilising fuzzy expert systems. In particular, the merits of non-convex fuzzy sets are discussed and a case study is presented to investigate inferencing with non-convex fuzzy sets in a practical implementation. It is shown that it is indeed possible to build a fuzzy expert system featuring usual Mamdani style fuzzy inference in which a time-related non-convex fuzzy set is used together with 'traditional' fuzzy sets. An examination is made of the resultant output surface generated by four different sub-classes of non-convex membership functions.
Sight-based Magnification System for Surgical Applications

This work presents the development of an augmented reality magnification system implemented in a head-mounted display for surgical applications. The system provides a magnified view with a novel control based on tracked sight orientation. The system was evaluated by measuring the completion time of a suturing task performed by surgeons. The magnifying approach implemented provided global context of the operating field. The sight-based activation was widely accepted by surgeons as a useful functionality to control viewing modalities.
Acquiring and Using World Knowledge Using a Restricted Subset of English

Many AI applications require a base of world knowledge to support reasoning. However, construction of such inferencecapable knowledge bases, even if constrained in coverage, remains one of the major challenges of AI. Authoring knowledge in formal logic is too complex a task for many users, while knowledge authored in unconstrained natural language is generally too difficult for computers to understand. However, there is an intermediate position, which we are pursuing, namely authoring knowledge in a restricted subset of natural language. Our claim is that this approach hits a “sweet spot” between the former two extremes, being both usable by humans and understandable by machines. We have developed such a language (called CPL, Computer-Processable Language), an interpreter, and a reasoner, and have used them to encode approximately 1000 “commonsense” rules (a mixture of general and domain-specific). The knowledge base is being used experimentally for semantic retrieval of video clips based on their captions, also expressed in CPL. In this paper, we describe CPL, its interpretation, and its use for reasoning, and discuss the strengths and weaknesses of restricted natural language as a the basis for knowledge representation.
Tiled Algorithms for Matrix Computations on Multicore Architectures

The current computer architecture has moved towards the multi/many-core structure. However, the algorithms in the current sequential dense numerical linear algebra libraries (e.g. LAPACK) do not parallelize well on multi/many-core architectures. A new family of algorithms, the tile algorithms, has recently been introduced to circumvent this problem. Previous research has shown that it is possible to write efficient and scalable tile algorithms for performing a Cholesky factorization, a (pseudo) LU factorization, and a QR factorization. The goal of this thesis is to study tiled algorithms in a multi/many-core setting and to provide new algorithms which exploit the current architecture to improve performance relative to current state-of-the-art libraries while maintaining the stability and robustness of these libraries.
A recombination model for multi-band speech recognition

We describe a continuous speech recognition system that uses the multi-band paradigm. This principle is based on the recombination of several independent sub-recognizers, each one assigned to a specific frequency band. The major issue of such systems consists of deciding at which time the recombination must be done. Our algorithm lets each band be totally independent from the others, and uses the different solutions to resegment the initial sentence. Finally, the bands are synchronously merged together, according to this new segmentation. The whole system is too complex to be entirely described here, and, in this paper, we concentrate on the synchronous recombination part, which is achieved by a classifier. The system has been tested in clean and noisy environments, and proved to be especially robust to noise.
Pengaruh Gaya Kepemimpinan Situasional, Budaya Organisasi Dan Kompensasi Terhadap Kinerja

This research aims to examine and analyze the influence of situational leadership style, organizational culture and compensation on performance of employees. The methods used in this research is descriptive method. The object of this research is all staff office division who worked in PT. CIMB NIAGA Kuningan Plaza Branch Office with a population 75 people. The sampling using the method of population (census) is to examine the entire population. The approach used in this research is a Structural Equation Models (SEM) with Smart analysis tools-PLS.The results showed situational leadership style gives a positive and significant influence on employee performance.organizational culture gives a positive and significant influence on employee performance. Compensation provides a positive and significant effect on performance employees. This is evidenced from the results of hypothesis testing (t-test) which shows the significance value of the independent variables.
Design of a robotic fish propelled by oscillating flexible pectoral foils

This paper proposed a new method of designing a flexible biomimetic fish propelled by oscillating flexible pectoral fins. The molding soft body is adopted in the robotic fish. Pneumatic artificial muscles are utilized as driving sources and two ribs with distributed flexibility as main parts of the propulsive mechanism. The leading edge locomotion profile of the flexible pectoral fin in air is studied experimentally, and the flapping locomotion in water is observed too. Finally, the effectiveness of the proposed method is illustrated by the experiment. It shows that the robotic fish can realize self-driven, and it can swim at a speed of 0.18m/s∼0.20m/s after optimization.
A new bidirectional ZVS-PWM Cuk converter with active clamp

In this paper, a bidirectional Cuk converter with active clamp is introduced. The bidirectional Cuk converter has the advantage of low ripple in input and output currents in addition to the ability of reversing the direction of current flow. By applying a simple auxiliary circuit using only one auxiliary switch, soft switching condition is achieved for all semiconductors elements regardless of the power flow direction and without any significant additional voltage or current stresses. The proposed converter is fully analyzed and the presented simulation results justify the converter analysis.
Double layered SOA test architecture based on BPA - simulation event

This paper presents an implementation case study for business-centric SOA test framework. The reference architecture of SOA system is usually layered: business process layer, service layer, and computing resource layer. In the architecture, there are so many subsystems to affect system performance, moreover they relate with each other. As a result, in the respect of overall performance, it is usually meaningless to measure each subsystem's performance separately. In SOA system, the performance of the business process layer with which users keep in contact depends on the summation of the performance of the other lower layers. Therefore, measuring performance of the business layer includes indirect measurement of the other SOA system layers. We devised a business-centric SOA test framework in which activities and control primitives in business process managers are simulated to invoke commands or services in a test scenario. That is, in the test framework, a real business process scenario can be replaced to a mimicked business process test scenario, which is executed in a test proxy based on event mechanism. In this paper, we present the concept of BPA simulation, 2-layered test suites model, and reference architecture.
EhNPC1 and EhNPC2 Proteins Participate in Trafficking of Exogenous Cholesterol in Entamoeba histolytica Trophozoites: Relevance for Phagocytosis

Entamoeba histolytica, the highly phagocytic protozoan causative of human amoebiasis lacks the machinery to synthesize cholesterol. Here, we investigated the presence of NPC1 and NPC2 proteins in this parasite, which are involved in cholesterol trafficking in mammals. Bioinformatics analysis revealed one Ehnpc1 and two Ehnpc2 genes. EhNPC1 appeared as a transmembrane protein and both EhNPC2 as peripheral membrane proteins. Molecular docking predicted that EhNPC1 and EhNPC2 bind cholesterol and interact with each other. Genes and proteins were identified in trophozoites. Serum pulse-chase and confocal microscopy assays unveiled that after trophozoites sensed the cholesterol source, EhNPC1 and EhNPC2 were organized around the plasma membrane in a punctuated pattern. Vesicles emerged and increased in number and size and some appeared full of cholesterol with EhNPC1 or EhNPC2 facing the extracellular space. Both proteins, but mostly EhNPC2, were found out of the cell associated with cholesterol. EhNPC1 and cholesterol formed networks from the plasma membrane to the nucleus. EhNPC2 appeared in erythrocytes that were being ingested by trophozoites, co-localizing with cholesterol of erythrocytes, whereas EhNPC1 surrounded the phagocytic cup. EhNPC1 and EhNPC2 co-localized with EhSERCA in the endoplasmic reticulum and with lysobisphosphatidic acid and EhADH (an Alix protein) in phagolysosomes. Immunoprecipitation assays confirmed the EhNPC1 and EhNPC2 association with cholesterol, EhRab7A and EhADH. Serum starved and blockage of cholesterol trafficking caused a low rate of phagocytosis and incapability of trophozoites to produce damage in the mouse colon. Ehnpc1 and Ehnpc2 knockdown provoked in trophozoites a lower intracellular cholesterol concentration and a diminished rate of phagocytosis; and Ehnpc1 silencing also produced a decrease of trophozoites movement. Trafficking of EhNPC1 and EhNPC2 during cholesterol uptake and phagocytosis as well as their association with molecules involved in endocytosis strongly suggest that these proteins play a key role in cholesterol uptake.
Extreme rainfall of the South American monsoon system: A dataset comparison using complex networks

AbstractIn this study, the authors compare six different rainfall datasets for South America with a focus on their representation of extreme rainfall during the monsoon season (December–February): the gauge-calibrated TRMM 3B42 V7 satellite product; the near-real-time TRMM 3B42 V7 RT, the GPCP 1° daily (1DD) V1.2 satellite–gauge combination product, the Interim ECMWF Re-Analysis (ERA-Interim) product; output of a high-spatial-resolution run of the ECHAM6 global circulation model; and output of the regional climate model Eta. For the latter three, this study can be understood as a model evaluation. In addition to statistical values of local rainfall distributions, the authors focus on the spatial characteristics of extreme rainfall covariability. Since traditional approaches based on principal component analysis are not applicable in the context of extreme events, they apply and further develop methods based on complex network theory. This way, the authors uncover substantial differences in extreme rainfal.