Miracle-dz/UniFAR-FTUs huggingface dataset:
A Metaviromic Analysis of Viral Communities in the Feces of Unexplained Acute Gastroenteritis

Although viruses are the most common cause of acute gastroenteritis (AGE) in humans, details about the causative viruses in AGE are largely unknown because many causative viruses are unable to be cultured by current culture techniques. In our study, fecal samples from 10 children under five years of age with unexplained AGE and 10 healthy children were investigated for RNA viruses using random priming (RP)-mediated sequence-independent single primer amplification (SISPA). The causative viruses in cases of cryptogenic diarrhea were then assessed for their potential diagnostic value. Of the 1,129 viral clones identified, rotavirus was most commonly associated with AGE (125 sequences, 22.4%). In contrast, bacteriophage was most common (43 sequences, 13.6%) in healthy children. The remaining 515 viral clones were unidentifiable. These findings suggest that investigation of cases or outbreaks of unexplained diarrhea using a metaviromic strategy is a new avenue for diagnosis.
Carious lesion severity and demarcated hypomineralized lesions of tooth enamel in schoolchildren from Melbourne, Australia

BACKGROUND Developmental hypomineralized lesions of enamel (DHL) may represent a significant caries-risk factor. The aim of this study was to determine the association between carious lesion severity and DHL in 6- to 12-year-old schoolchildren from Melbourne, Australia. METHODS The sample was derived from randomly selected schools in inner Melbourne. A full dental examination was performed at the school. Socio-demographic data, caries experience (DMFT/dmft/ICDAS II) and the consequences of untreated carious lesions (PUFA/pufa) were measured. DHL, molar incisor hypomineralization (MIH) and hypomineralized second primary molar (HSPM) presence were assessed using the European Academy of Paediatric Dentistry (EAPD) criteria. RESULTS Of the children examined (n = 327), 26.9% had DHL. The prevalence of MIH and HSPM was 14.7% and 8%, respectively. Almost 20% of children had severe carious lesions (ICDAS 5 & 6) in at least one permanent or primary tooth. Ordinal regression analyses indicated that DHL (OR = 2.17; 95% CI: 1.35-3.49) and being born overseas (OR = 2.59, 95% CI: 1.66-4.06) increased the likelihood of severe carious lesions. CONCLUSIONS One of four children had DHL. DHL-affected children had an increased likelihood of presenting untreated severe carious lesions compared with DHL-free children.
Current and Future Psychological Health Prediction using Language and Socio-Demographics of Children for the CLPysch 2018 Shared Task

This article is a system description and report on the submission of a team from the University of Pennsylvania in the ’CLPsych 2018’ shared task. The goal of the shared task was to use childhood language as a marker for both current and future psychological health over individual lifetimes. Our system employs multiple textual features derived from the essays written and individuals’ socio-demographic variables at the age of 11. We considered several word clustering approaches, and explore the use of linear regression based on different feature sets. Our approach showed best results for predicting distress at the age of 42 and for predicting current anxiety on Disattenuated Pearson Correlation, and ranked fourth in the future health prediction task. In addition to the subtasks presented, we attempted to provide insight into mental health aspects at different ages. Our findings indicate that misspellings, words with illegible letters and increased use of personal pronouns are correlated with poor mental health at age 11, while descriptions about future physical activity, family and friends are correlated with good mental health.
Chemical Composition of the Essential Oils in Eugenia caryophylata , Thunb from Amboina Island

The essentials oils in Eugenia caryophylata , Thunb from Amboina Island on the bud, leaf and stem by steam distillation were isolated. Result of isolation was analyzed by GC and GC-MS. Five component were identified in the bud, leaf and stem oil. Main chemical component in the bud oil are eugenol (81.13-84.44 %), eugenyl acetate (11.60-15.02 %) and β-caryophyllene (3.45-4.60 %) respectively and eugenol (81.06-86.04 %), β-caryophyllene (11.95-16.16%), eugenyl acetate (2.02-3.05%) in leaf oil, while in stem oil eugenol (97.20-98.83%).
Software Quality Assessment Applied for the Governmental Organizations using ISO/IEC 25000

The objective of this paper is to share our experience in applying the ISO/IEC 25000 standard for the evaluation of software quality requirements. In this case study, Outlook Web Access (OWA) and Thunderbird will be evaluated as possible e-mail solutions for al real governmental institution, considering their technical and functional characteristics such as assistance for configuring mail accounts, address book, message file, robust privacy, protection against identity spoofing, automatic update, garbage removal, integration with Exchange and folder management to back up information. In this scenario, Outlook Web Access and Thunderbird have been selected as candidate’s due to their main advantages e.g. integration with Microsoft Exchange and Open source characteristic, respectively. This work provides an interesting illustration of ISO/IEC 25000 implementation in a Governmental Institution detailing its benefits as a method to assessing software quality.
Joint Optimization of Computation and Communication Power in Multi-User Massive MIMO Systems

With the growing interest in the deployment of massive multiple-input-multiple-output (MIMO) systems and millimeter wave technology for fifth generation wireless systems, the computation power to the total power consumption ratio is expected to increase rapidly due to high data traffic processing at the baseband unit. Therefore in this paper, a joint optimization problem of computation and communication power is formulated for multi-user massive MIMO systems with partially-connected structures of radio frequency (RF) transmission systems. When the computation power is considered for massive MIMO systems, the results of this paper reveal that the energy efficiency of massive MIMO systems decreases with increasing the number of antennas and RF chains, which is contrary with the conventional energy efficiency analysis results of massive MIMO systems, i.e., only communication power is considered. To optimize the energy efficiency of multi-user massive MIMO systems, an upper bound on energy efficiency is derived. Considering the constraints on partially-connected structures, a suboptimal solution consisting of the baseband and RF precoding matrices is proposed to approach the upper bound on energy efficiency of multi-user massive MIMO systems. Furthermore, an optimized hybrid precoding with computation and communication power algorithm is developed to realize the joint optimization of computation and communication power. Simulation results indicate that the proposed algorithm improves energy and cost efficiencies and the maximum power saving is achieved by 76.59% for multi-user massive MIMO systems with partially-connected structures.
How do Loop Transformations Affect the Energy Consumption of Multi-Threaded Runge-Kutta Methods?

Runge-Kutta methods are widely used and popular solutions method for scientific simulations based on differential equations and, thus, their efficient execution is crucial for many applications. Today, also the energy consumption is getting more and more important for high performance computing. In this article, we investigate the performance and the energy consumption of Runge-Kutta methods solving systems of ordinary differential equations on recent Intel processors. Our specific interest is the study of different program versions of multithreaded Runge-Kutta methods which result from loop transformations within the nested loops over stage vectors and systems sizes. Four program versions of the Runge-Kutta method DOPRI5 are chosen and are applied to systems of ordinary differential equations with different workload. Experiments have been performed for different numbers of threads and the performance, power and energy consumption is reported and analyzed.
A 28-GHz Symmetrical Doherty Power Amplifier Using Stacked-FET Cells

A two-stage Ka-band Doherty power amplifier (DPA) using a stacked field-effect transistor (FET) cell is presented. We demonstrate, for the first time, the two critical parameters in a stacked-FET topology that must be designed specifically for a Doherty operation: the gate capacitance and the bias voltage of the stacked transistor. The two parameters strongly determine the DPA output power, power-added efficiency (PAE), and power gain flatness. Furthermore, we also demonstrate a dual-driver topology to boost the amplifier gain without scarifying PAE, and a proposed bias circuitry to deal with the high gate leakage current of an enhancement mode (E-mode) process. The stacked-FET DPA prototype is fabricated in an E-mode 0.15-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> gallium arsenide (GaAs) process to verify the concept. At 28 GHz, the 2.9 mm <inline-formula> <tex-math notation="LaTeX">$\times1.7$ </tex-math></inline-formula> mm integrated chip exhibits a measured gain of 14.4 dB, an output power of 28.7 dBm, with an associated 37% peak PAE and 27% PAE at 6-dB power back-off. To the best of the authors’ knowledge, the DPA achieves among the highest gain and highest power density of all reported DPAs at millimeter-wave frequencies.
Fast Face and Saliency Aware Collage Creation for Mobile Phones

This demonstration is of an automated method for creating image collage in a mobile phone. The app creates semantically meaningful collages from images based on faces,,,,, image saliency and hybrid blending. The algorithm is designed for computational efficiency inorder for it run on a mobile device. Due to the increase in the use of social networks, users,,,, are uploading images and videos from social events. Collage presents a useful crisper summary of the event. It is popular among users as evident from Layout from Instagram: Collage app, which has over 100 million downloads. A limitation of these apps is that they are dependent on the user for selecting the grid layout and optimal cropping of the images. Our smart collage over comes these limitations and to the best of our knowledge this is one of the first mobile based solutions, which considers the faces and the region importance and later merges the salient images automatically in a non-rigid grid layout. Other interesting works either have a semi-rigid [1] or a fully rigid grid based layout [2] or are desktop based [3].
An Evaluation of Different Statistical Targets for Assembling Parallel Forms in Item Response Theory

Assembly of parallel forms is an important step in the test development process. Therefore, choosing a suitable theoretical framework to generate well-defined test specifications is critical. The performance of different statistical targets of test specifications using the test characteristic curve (TCC) and the test information function (TIF) was investigated. Test length, the number of test forms, and content specifications are considered as well. The TCC target results in forms that are parallel in difficulty, but not necessarily in terms of precision. Vice versa, test forms created using a TIF target are parallel in terms of precision, but not necessarily in terms of difficulty. As sometimes the focus is either on TIF or TCC, differences in either difficulty or precision can arise. Differences in difficulty can be mitigated by equating, but differences in precision cannot. In a series of simulations using a real item bank, the two-parameter logistic model, and mixed integer linear programming for automated test assembly, these differences were found to be quite substantial. When both TIF and TCC are combined into one target with manipulation to relative importance, these differences can be made to disappear.
Coupling Matrix Compression Technique for High-Isolation Dual-Mode Dual-Band Filters

This paper proposes a new coupling matrix synthesis technique called the coupling matrix compression technique, which focuses on reducing the dimension of the <inline-formula> <tex-math notation="LaTeX">$N+2$ </tex-math></inline-formula> coupling matrix. The presented coupling matrices can be compressed, and this technique can be used to design dual-mode resonators for high-isolation dual-band filters. One dual-mode resonator is represented as two closely coupled resonators when using this technique. The formulae for resonant frequencies and <inline-formula> <tex-math notation="LaTeX">$\omega _{m}$ </tex-math></inline-formula> in dual-mode theory are also derived in this paper. A dual-mode embedded hairpin resonator is designed and analyzed using this technique, and a dual-band filter using the proposed resonators is designed and fabricated to validate the proposed technique.
Wide-Band Circularly Polarized ReflectarrayUsing Graphene-Based Pancharatnam-Berry Phase Unit-Cells for Terahertz Communication

A wide-band and high gain circularly polarized (CP) graphene-based reflectarray operating in the THz regime is proposed and theoretically investigated in this paper. The proposed reflectarray consists of a THz CP source and several graphene-based unit-cells. Taking advantages of the Pancharatnam Berry (PB) phase principle, the graphene-based unit-cell is capable of realizing a tunable phase range of 360° in a wide-band (1.4–1.7 THz) by unit-cell rotating, overcoming the restriction of intrinsic narrow-band resonance in graphene. Therefore, this graphene-based unit-cell exhibits superior bandwidth and phase tunability to its previous counterparts. To demonstrate this, a wide-band (1.4–1.7 THz) focusing metasurface based on the proposed unit-cell that exhibits excellent focusing effect was designed. Then, according to the reversibility of the optical path, a CP reflectarray was realized by placing a wide-band CP THz source at the focal point of the metasurface. Numerical simulation demonstrates that this reflectarray can achieve a stable high gain up to 15 dBic and an axial ratio around 2.1 dB over the 1.4–1.7 THz band. The good radiation performance of the proposed CP reflectarray, as demonstrated, underlines its suitability for the THz communication applications. Moreover, the design principle of this graphene-based reflectarray with a full 360° phase range tunable unit-cells provides a new pathway to design high-performance CP reflectarray in the THz regime.
Effects of anxiety on suicidal ideation: exploratory analysis of a paroxetine versus bupropion randomized trial

It is unclear whether anxiety increases or decreases suicidal risk. This may contribute to the lack of guidance on which antidepressant medications are best for suicidal depressed patients who present with high anxiety. This study explored whether anxiety predicts suicidal ideation in depressed individuals treated with paroxetine or bupropion. An 8-week double-blind trial comparing controlled-release paroxetine (N=36) versus extended-release bupropion (N=38) for effect on suicidal ideation and behavior in depressed patients with suicidal ideation, past attempt, or both found an advantage for paroxetine, but anxiety effects were not investigated. This secondary analysis explored the relationship, measured at baseline and weekly, of anxiety with suicidal ideation. Anxiety severity measured weekly correlated with suicidal ideation severity irrespective of treatment (P=0.012). Patients with high baseline anxiety showed a trend toward faster reduction of suicidal ideation with paroxetine compared with bupropion treatment (standard P=0.047; bootstrap P=0.077). The latter finding, if confirmed in larger samples, could enhance choice of antidepressant medication for suicidal, depressed patients presenting with high levels of anxiety.
Elevated Plasma D-Dimer Level Is Associated With Short-Term Risk of Ischemic Stroke in Patients With Acute Heart Failure

Background and Purpose— The incidence of heart failure increases the subsequent risk of ischemic stroke, and its risk could be higher in the short-term period after an acute heart failure (AHF) event. However, its determinants remain to be clarified. Plasma D-dimer level reflects fibrin turnover and exhibits unique properties as a biomarker of thrombosis. The aim of this study is to investigate whether D-dimer level is a determinant of short-term incidence of ischemic stroke in patients with AHF. Methods— We examined 721 consecutive hospitalized AHF patients with plasma D-dimer level on admission from our prospective registry between January 2013 and May 2016. The study end points were incidence of ischemic stroke during hospitalization and at 30 days after admission. Results— Of the total participants (mean age, 76 years; male, 60%; atrial fibrillation, 54%; mean left ventricular ejection fraction, 38%), in-hospital ischemic stroke occurred in 18 patients (2.5%) during a median hospitalization period of 21 days, and 30-day ischemic stroke occurred in 16 patients (2.2%). Higher D-dimer level on admission was an independent determinant of subsequent risk of in-hospital ischemic stroke even after adjustment by CHA2DS2-VASc score (odds ratio, 2.29; 95% confidence interval, 1.46–3.60; P<0.001) or major confounders, including age, atrial fibrillation, and antithrombotic therapy (odds ratio, 2.31; 95% confidence interval, 1.43–3.74; P<0.001). Subgroup analyses showed consistent findings in patients without atrial fibrillation (odds ratio, 2.46; 95% confidence interval, 1.39–4.54; P=0.002) and those without antithrombotic therapy (odds ratio, 2.79; 95% confidence interval, 1.53–5.57; P<0.001). Similar results were obtained for 30-day ischemic stroke as an alternative outcome. Conclusions— Elevated plasma D-dimer level on admission was significantly associated with increased incidence of ischemic stroke shortly after admission for AHF, suggesting a predictive role of D-dimer for short-term ischemic stroke events in patients with AHF. Clinical Trial Registration— URL: https://www.umin. ac.jp/ctr/index.htm. Unique identifier: UMIN000017024.
Scalable Multi-Class Bayesian Support Vector Machines for Structured and Unstructured Data

We introduce a new Bayesian multi-class support vector machine by formulating a pseudo-likelihood for a multi-class hinge loss in the form of a location-scale mixture of Gaussians. We derive a variational-inference-based training objective for gradient-based learning. Additionally, we employ an inducing point approximation which scales inference to large data sets. Furthermore, we develop hybrid Bayesian neural networks that combine standard deep learning components with the proposed model to enable learning for unstructured data. We provide empirical evidence that our model outperforms the competitor methods with respect to both training time and accuracy in classification experiments on 68 structured and two unstructured data sets. Finally, we highlight the key capability of our model in yielding prediction uncertainty for classification by demonstrating its effectiveness in the tasks of large-scale active learning and detection of adversarial images.
Online defect detection in layered manufacturing using process signature

This paper presents the concept of process signature for the use of online defect detection in layered manufacturing. To achieve the high quality of parts built by the fused deposition of ceramics, an online process monitoring system is implemented to detect the processing defects. Using the process signature extracted from the original image captured by the monitoring system, an expected image is created which is then compared to the original image to detect and identify the defects.
High-power traveling wave photodetector in silicon photonics with monolithically integrated optical power splitter

Photodetectors suffer from a limited maximum RF output power. To boost the maximum photodetector RF output power while maintaining a high bandwidth, we designed traveling wave photodetectors (TWPDs) integrated on a silicon photonics platform. By carefully matching the delay in the optical and electrical domain, constructive addition maximizes the output power. Additionally, a monolithically integrated star coupler is added to the design to limit the optical power in the waveguides and hereby preserve the high linearity introduced by the TWPD. In this paper, focus will be on the TWPD itself, for which bandwidth and impedance measurements will be presented.
Facial Micro-Expressions Grand Challenge 2018: Evaluating Spatio-Temporal Features for Classification of Objective Classes

This paper presents baseline results for the first Facial Micro-expressions Grand Challenge (MEGC) 2018 by evaluating LBP-TOP, HOOF and 3DHOG on CASME II and SAMM. We further improve the result of composite database evaluation (Task B of the challenge) by introducing selective block-based features fusion representation. Base on objective classes, this task combines CASME II and SAMM into a single composite database and uses Leave-One-Subject-Out crossvalidation to evaluate the performance. Our proposed method achieve F1-Score of 0.579, which outperformed LBP-TOP, HOOF and 3DHOG with 0.523, 0.527 and 0.436, respectively.
Arabic dialects annotation using an online game

Modern Standard Arabic is the written standard across the Arab world; but there is an increasing use of Arabic dialects in social media, so this is appropriate as a source of a corpus for research on classifying Arabic dialect texts using machine learning algorithms. An important first step is annotation of the text corpus with correct dialect tags. We collected tweets from Twitter and comments from Facebook and online newspapers, aiming for representative samples of five groups of Arabic dialects: Gulf, Iraqi, Egyptian, Levantine, and North African. Then, we explored an approach to crowdsourcing corpus annotation. The task of annotation was developed as an online game, where players can test their dialect classification skills and get a score of their knowledge. This approach has so far achieved 24K annotated documents containing 587K tokens; 16,179 tagged as a dialect and 7,821 as Modern Standard Arabic.
5277 / ABB-00521-2015-03 Biomechanical properties of alternative suture technique for flexor tendon repair

1 Department of General Orthopaedics, Oncology and Traumatology, W. Dega University Hospital, Poznań University of Medical Sciences, Poland. 2 Hand Surgery Department, W. Dega University Hospital, Poznań University of Medical Sciences, Poznań, Poland. 3 Department of Orthopedic and Traumatology, W. Dega University Hospital, Poznań University of Medical Sciences, Poznań, Poland. 4 Department of Spondyloortopaedics and Biomechanics of the Spine, W. Dega University Hospital, Poznań University of Medical Sciences, Poznań, Poland.
Performance evaluation of fractional-slot tubular permanent magnet machines with low space harmonics

This paper evaluates the perforamnce of fractional-slot per pole winding con- figurations for tubular permanent magnet (PM) machines that can effectively eliminate the most undesirable space harmonics in a simple and cost-effective manner. The benefits of the proposed machine topology winding configurations are illustrated through comparison with 9-slot, 10-pole tubular PM machine developed for a free piston energy converter under the same specification and volumetric constraints. It has been shown that the pro - posed machine topology results in more than 7 times reduction in the eddy current loss in the mover magnets and supporting tube, and hence avoids potential problem of excessive mover temperature and risk of demagnetization.