Miracle-dz/UniFAR-FTUs huggingface dataset:
ANTIBIOTIC RESISTANCE AND MORTALITY IN CHILDREN WITH NOSOCOMIAL BLOODSTREAM INFECTION IN A TEACHING HOSPITAL IN
INDONESIA.

Nosocomial infection is a major problem in hospitals worldwide. Understanding patterns of bacterial etiology and antibiotic susceptibility are important factors to combating nosocomial infection. Among children with nosocomial bloodstream infection (BSI), we identified pathogens and determined antibiotics resistance patterns and mortality rates for antibiotic-susceptible and multidrugresistant (MDR) infection in patients with nosocomial BSI in pediatric wards and PICU at Dr Sardjito Hospital, Indonesia during December 2010 to February 2013. Of 174 isolates from 170 patients, 168 pathogens were bacteria, of which 148 were gram-negative. Pseudomonas aeruginosa, Klebsiella spp, Enterobacteriaceae, Acinetobacter baumanii, and Escherichia coli was found in 55%, 6%, 4%, 1%, and <1%, respectively of the isolates. Imipenem, amikacin, ciprofloxacin, and ceftazadime had the highest sensitivity to nosocomial pathogens at 86%, 84%, 84%, and 75%, respectively. Eleven patients had MDR-infections, 7 of whom died. Among 153 patients infected with bacteria resistant to <3 classes of antibiotics (non-MDR), mortality was 40%, and among 4 patients with fully drug-susceptible sepsis only one died. Thus, substantial mortality was observed in children with nosocomial-BSI, particularly with MDR pathogens. Given the further high risk of resistance with wider use of carbapenems, third generation cephalosporins and flouroquinolones, prevention should be given highest priority in combating hospital-acquired infection.
Yusuke Uchida , Shigeyuki

We describe our system for Content-Based Copy Detection (CBCD) task submitted to TRECVID 2010. Our system is multi-modal and integrates the results of global visual features, local visual features and audio features to produce the final run results. Each of these features is designed to take care of different aspects of the video transformations. We submitted two runs each for BALANCED as well as NOFA profile: • KDDILabs-SRI.m. balanced.1 • KDDILabs-SRI.m. balanced.2 • KDDILabs-SRI.m. nofa.1 • KDDILabs-SRI.m. nofa.2 These runs all use the same CBCD framework for each of the three modalities and differ only in the parameters for the final integration step. Our CBCD framework has made significant advances in video based copy detection. We introduce novel algorithms to obtain robust results against various transformations: dense-sampling-based global SIFT features, improved indexing methods for both global and local features and handling temporal burstiness. TRECVID 2010 evaluation results show that our system achieves good performance for both detection accuracy especially on NOFA profile and localization accuracy.
Thermal expansion and aging effects in neuromorphic signal processor

In this paper, we propose an efficient methodology based on a real-time estimator and predictor-corrector scheme for accurate thermal expansion profile and aging evaluation of a neuromorphic signal processor circuit components. As the experimental results indicate, for comparable mesh size, the proposed method is 1~2 order of magnitude more accurate than corresponding, generalized finite element method.
Concept of frequency-transconductance tuning of bipolar voltage-controlled oscillators

Due to technology limitations as well as stringent operating conditions that are imposed, the design of fully integrated analog RF front-end circuits is aimed at the edge of the required performances. Such an approach implies that each dB of power or noise is of high importance, as it directly determines the range of operation of a system. Accordingly, a design trajectory that offers certain power savings, while still keeping the system within the required range of operation, appears to be a promising candidate for nowadays highly stringent low-power RF front-end circuit design. The concept of frequency-transconductance tuning, introduced in this paper, offers the possibility for voltage-controlled oscillators to trade power consumption for loop-gain and phase-noise. Detailed analysis shows how this concept is employed to achieve full control over the operation of the oscillator that is being changed as a result of a frequency tuning.
A novel Co/TiO2 nanocomposite derived from a metal–organic framework: synthesis and efficient microwave absorption

To overcome the shortcomings (poor impedance mismatching and weak electromagnetic wave attenuation) of the Co nanoparticles embedded into nanoporous carbon (Co@NPC) derived from the thermal decomposition of zeolitic imidazolate framework-67 (ZIF-67), two coated titanium oxide (TiO2) routes are designed to prepare core–shell Co@NPC@TiO2 and multi-interfaced yolk–shell C–ZIF-67@TiO2 (obtained from the thermal decomposition of ZIF-67@TiO2) structures. The permittivity and permeability of C–ZIF-67@TiO2 significantly depend on the thickness of the TiO2 shell in ZIF-67@TiO2, and the thickness of the TiO2 shell in the as-obtained samples can be easily controlled via changing the addition content of tetrabutyl titanate in the hydrolyzation process. The as-prepared samples have remarkable absorbing characteristics in wide frequency bands from 2–18 GHz with thicknesses of 1.0–5.0 mm. 50 wt% of the C–ZIF-67@TiO2-2 (the addition amount of tetrabutyl titanate is 2 mL) nanocomposite filled within paraffin shows a maximum reflection loss (RL) of −51.7 dB at an absorbing thickness of 1.65 mm, meanwhile, for the Co@NPC@TiO2-1.2 (the addition amount of tetrabutyl titanate is 1.2 mL) nanocomposite, a maximum RL can be achieved of −31.7 dB at 1.5 mm. This study provides a good reference for the future preparation of other carbon-based lightweight microwave absorbing materials derived from metal organic frameworks.
Early pragmatic language difficulties in siblings of children with autism: implications for DSM-5 social communication disorder?

BACKGROUND We evaluated early pragmatic language skills in preschool-age siblings of children with autism spectrum disorder (ASD), and examined correspondence between pragmatic language impairments and general language difficulties, autism symptomatology, and clinical outcomes. METHODS Participants were younger siblings of children with ASD (high-risk, n = 188) or typical development (low-risk, n = 119) who were part of a prospective study of infants at risk for ASD; siblings without ASD outcomes were included in analyses. Pragmatic language skills were measured via the Language Use Inventory (LUI). RESULTS At 36 months, the high-risk group had significantly lower parent-rated pragmatic language scores than the low-risk group. When defining pragmatic language impairment (PLI) as scores below the 10(th) percentile on the LUI, 35% of the high-risk group was identified with PLI versus 10% of the low-risk group. Children with PLI had higher rates of general language impairment (16%), defined as scores below the 10(th) percentile on the Receptive or Expressive Language subscales of the Mullen Scales of Early Learning, relative to those without PLI (3%), but most did not evidence general language impairments. Children with PLI had significantly higher ADOS scores than those without PLI and had higher rates of clinician-rated atypical clinical best estimate outcomes (49%) relative to those without PLI (15%). CONCLUSIONS Pragmatic language problems are present in some siblings of children with ASD as early as 36 months of age. As the new DSM-5 diagnosis of Social (Pragmatic) Communication Disorder (SCD) is thought to occur more frequently in family members of individuals with ASD, it is possible that some of these siblings will meet criteria for SCD as they get older. Close monitoring of early pragmatic language development in young children at familial risk for ASD is warranted.
Effective skeletons extraction for animated surfaces based on geometry propagation

We introduce a registration‐based propagation strategy to extract temporally coherent skeletons from the animated surfaces. We first extract complete skeletons for the key frames of the animated surfaces, and present a spatio‐temporal L1‐medial skeleton extraction method to extract the initial skeletons for the immediate frames between the key frames. As these initial skeletons may not be complete, we then develop a global skeleton alignment method, which effectively warps the key skeleton to these initial skeletons subsequently. By using the geometry merging, we propagate the geometry of the warped key skeleton to the initial skeletons, and produce temporally coherent skeletons for the input animated surfaces. Our system can be applied to the raw scanned animated object and requires only minimal user interaction to extract complete and temporally coherent animated skeletons. Copyright © 2015 John Wiley & Sons, Ltd.
Current diagnostic procedures for diagnosing vertigo and dizziness

Vertigo is a multisensory syndrome that otolaryngologists are confronted with every day. With regard to the complex functions of the sense of orientation, vertigo is considered today as a disorder of the sense of direction, a disturbed spatial perception of the body. Beside the frequent classical syndromes for which vertigo is the leading symptom (e.g. positional vertigo, vestibular neuritis, Menière’s disease), vertigo may occur as main or accompanying symptom of a multitude of ENT-related diseases involving the inner ear. It also concerns for example acute and chronic viral or bacterial infections of the ear with serous or bacterial labyrinthitis, disorders due to injury (e.g. barotrauma, fracture of the oto-base, contusion of the labyrinth), chronic-inflammatory bone processes as well as inner ear affections in the perioperative course. In the last years, diagnostics of vertigo have experienced a paradigm shift due to new diagnostic possibilities. In the diagnostics of emergency cases, peripheral and central disorders of vertigo (acute vestibular syndrome) may be differentiated with simple algorithms. The introduction of modern vestibular test procedures (video head impulse test, vestibular evoked myogenic potentials) in the clinical practice led to new diagnostic options that for the first time allow a complex objective assessment of all components of the vestibular organ with relatively low effort. Combined with established methods, a frequency-specific assessment of the function of vestibular reflexes is possible. New classifications allow a clinically better differentiation of vertigo syndromes. Modern radiological procedures such as for example intratympanic gadolinium application for Menière’s disease with visualization of an endolymphatic hydrops also influence current medical standards. Recent methodical developments significantly contributed to the possibilities that nowadays vertigo can be better and more quickly clarified in particular in otolaryngology.
Evaluating knowledge-poor and knowledge-rich features in automatic classification: A case study in WSD

Word Sense Disambiguation (WSD) is a fundamental task in many Computational Linguistics applications. It consists of automatically identifying the sense of ambiguous words in context using computational methods. This work evaluates the automatic disambiguation performance of five machine learning classifiers: Naive Bayes, Support Vector Machines, Decision Trees, KStar and Maximum Entropy. For the classification we compare the performance of these algorithms using knowledge-rich and knowledge-poor features applied to Portuguese data.
Interventions to improve disposal of human excreta for preventing diarrhoea

Thomas Clasen, Emory University Kristof Bostoen, London School of Hygiene and Tropical Medicine Wolf-Peter Schmidt, London School of Hygiene and Tropical Medicine Sophie Boisson, London School of Hygiene and Tropical Medicine Isaac C-H Fung, Imperial College London Marion W. Jenkins, Univeristy of California, Davis Beth Scott, London School of Hygiene and Tropical Medicine Steven Sugden, London School of Hygiene and Tropical Medicine Sandy Cairncross, London School of Hygiene and Tropical Medicine
Data Collection Method for Mobile Control Sink Node in Wireless Sensor Network Based on Compressive Sensing

The paper proposes a mobile control sink node data collection method in the wireless sensor network based on compressive sensing. This method, with regular track, selects the optimal data collection points in the monitoring area via the disc method, calcu-lates the shortest path by using the quantum genetic algorithm, and hence determines the data collection route. Simulation results show that this method has higher network throughput and better energy efficiency, capable of collecting a huge amount of data with balanced energy consumption in the network.
Exploiting the Repetitive Fraction of the Wheat Genome for High‐Throughput Single‐Nucleotide Polymorphism Discovery and Genotyping

Transposable elements (TEs) account for more than 80% of the wheat genome. Although they represent a major obstacle for genomic studies, TEs are also a source of polymorphism and consequently of molecular markers such as insertion site‐based polymorphism (ISBP) markers. Insertion site‐based polymorphisms have been found to be a great source of genome‐specific single‐nucleotide polymorphism (SNPs) in the hexaploid wheat (Triticum aestivum L.) genome. Here, we report on the development of a high‐throughput SNP discovery approach based on sequence capture of ISBP markers. By applying this approach to the reference sequence of chromosome 3B from hexaploid wheat, we designed 39,077 SNPs that are evenly distributed along the chromosome. We demonstrate that these SNPs can be efficiently scored with the KASPar (Kompetitive allele‐specific polymerase chain reaction) genotyping technology. Finally, through genetic diversity and genome‐wide association studies, we also demonstrate that ISBP‐derived SNPs can be used in marker‐assisted breeding programs.
Inertial-sensor-based walking action recognition using robust step detection and inter-class relationships

This paper tackles a challenging problem of inertial sensor-based recognition for similar walking action classes. We solve two remaining problems of existing methods in the case of walking actions: action signal segmentation and recognition of similar action classes. First, to robustly segment the walking action under drastic changes such as speed, intensity, or style, we rely on the likelihood of heel strike that is computed employing a scale-space technique. Second, to improve the classification performance with similar action classes, we incorporate the inter-class relationship. In experiments, the proposed algorithms were positively validated with 97 subjects and five similar walking action classes, namely walking on flat ground, up/down stairs, and up/down a slope.
The effect of mitochondria in intracellular calcium dynamics in cardiomyocytes: A simulation study

Intracellular calcium (Cai) regulation in cardiomyocytes is critical because of its relationship with cell contractility and arrhythmogenesis. Although the mitochondria play an important role in Cat regulation, few action potential (AP) models include these organelles. In this work, we have included mitochondria in an AP model of a rabbit cardiomyocyte to study its influence in Cai regulation. The model includes the calcium uniporter, the sodium-calcium exchanger and intra-mitochondrial calcium buffering. We conducted simulations in which Cat biomarkers were compared in the presence and in the absence of mitochondria. In some simulations, ionic currents were altered to simulate pharmacological interventions and/or the effect of mutations. Our results suggest that the absence of mitochondria in AP models introduces significant errors in the simulation of Cat handling, especially under conditions of altered currents.
Opportunistic scheduling for utility maximization under QoS constraints

Opportunistic scheduling provides an important capability of resource management for wireless systems by taking advantage of multiuser diversity, allowing delay variation in delivering data packets. Our opportunistic scheduling aims at maximizing the utility which is usually expressed as a function of user throughput. In this paper we derive an off-line optimal scheduling policy by optimization theory, and show that the policy is also optimal in opportunistic scheduling. We extend the scheduling policy by adding QoS requirements for each user. To do so, we classify opportunistic schedulers according to QoS constraints. Their optimalities are also proved through mathematical analysis. To obtain optimal scheduling policy, the parameters related to QoS should be computed, so we propose a practical algorithm for parameter adaptation and verify its performance through simulations. The results confirm that our considered opportunistic schedulers show good fairness performance and guarantee each user's QoS without any difficulty in implementation
Assessment of Multivariate Neural Time Series by Phase Synchrony Clustering in a Time-Frequency-Topography Representation

Most EEG phase synchrony measures are of bivariate nature. Those that are multivariate focus on producing global indices of the synchronization state of the system. Thus, better descriptions of spatial and temporal local interactions are still in demand. A framework for characterization of phase synchrony relationships between multivariate neural time series is presented, applied either in a single epoch or over an intertrial assessment, relying on a proposed clustering algorithm, termed Multivariate Time Series Clustering by Phase Synchrony, which generates fuzzy clusters for each multivalued time sample and thereupon obtains hard clusters according to a circular variance threshold; such cluster modes are then depicted in Time-Frequency-Topography representations of synchrony state beyond mere global indices. EEG signals from P300 Speller sessions of four subjects were analyzed, obtaining useful insights of synchrony patterns related to the ERP and even revealing steady-state artifacts at 7.6 Hz. Further, contrast maps of Levenshtein Distance highlight synchrony differences between ERP and no-ERP epochs, mainly at delta and theta bands. The framework, which is not limited to one synchrony measure, allows observing dynamics of phase changes and interactions among channels and can be applied to analyze other cognitive states rather than ERP versus no ERP.
Multiobjective Optimization for Demand Side Management Program in Smart Grid

Demand side management (DSM) plays an important role in smart grid for paving the way to a low-carbon future. In this paper, a hierarchical day-ahead DSM model is proposed, where renewable energy sources are integrated. The proposed model consists of three layers: the utility in the upper layer, the demand response (DR) aggregator in the middle layer, and customers in the lower layer. The utility seeks to minimize the operation cost and give part of the revenue to the DR aggregator as a bonus. The DR aggregator acts as an intermediary, receiving bonus from the utility and giving compensation to customers for modifying their energy usage pattern. The aim of the DR aggregator is to maximize its net benefit. Customers desire to maximize the social welfare, i.e., the received compensation minus the dissatisfactory level. To achieve these objectives, a multiobjective problem is formulated. An artificial immune algorithm is used to solve this problem, leading to a Pareto optimal set. Using a selection criterion, a Pareto optimal solution can be selected, which does not favour any particular participant to ensure the overall fairness. Simulation results confirm the feasibility of the proposed method: The utility can reduce the operation cost and the peak to average ratio; the DR aggregator can make a profit for providing DSM services; and customers can reduce their bill.
Effect of exercise on postprandial endothelial function in adolescent boys

The ingestion of high-fat meals induces a state of endothelial dysfunction in adults. This dysfunction is attenuated by prior exercise. The response of young people to these nutritional and physiological stressors has not been established. Thus, the purpose of the present study was to investigate if a bout of moderate-intensity exercise influenced endothelial function (as indicated by flow-mediated dilation (FMD)) following the ingestion of a high-fat breakfast and lunch in adolescent boys (aged 12·6–14·3 years). Two, 2 d main trials (control and exercise) were completed by thirteen adolescent boys in a counter-balanced, cross-over design. Participants were inactive on day 1 of the control trial, but completed 60 min of walking at 60 % peak oxygen uptake in the exercise trial. On day 2, endothelial function was assessed via FMD prior to, and following, ingestion of a high-fat breakfast and lunch. There was no difference in fasting FMD between the control and exercise trial (P= 0·449). In the control trial, FMD was reduced by 32 % following consumption of the high-fat breakfast and by 24 % following lunch. In the exercise trial, the corresponding reductions were 6 and 10 %, respectively (main effect trial, P= 0·002). These results demonstrate that moderate-intensity exercise can attenuate the decline in FMD seen following the consumption of high-fat meals in adolescent boys.
Study of Photochemical Cytosine to Uracil Transition via Ultrafast Photo-Cross-Linking Using Vinylcarbazole Derivatives in Duplex DNA

Gene therapies, including genome editing, RNAi, anti-sense technology and chemical DNA editing are becoming major methods for the treatment of genetic disorders. Techniques like CRISPR-Cas9, zinc finger nuclease (ZFN) and transcription activator-like effector-based nuclease (TALEN) are a few such enzymatic techniques. Most enzymatic genome editing techniques have their disadvantages. Thus, non-enzymatic and non-invasive technologies for nucleic acid editing has been reported in this study which might possess some advantages over the older methods of DNA manipulation. 3-cyanovinyl carbazole (CNVK) based nucleic acid editing takes advantage of photo-cross-linking between a target pyrimidine and the CNVK to afford deamination of cytosine and convert it to uracil. This method previously required the use of high temperatures but, in this study, it has been optimized to take place at physiological conditions. Different counter bases (inosine, guanine and cytosine) complementary to the target cytosine were used, along with derivatives of CNVK (NH2VK and OHVK) to afford the deamination at physiological conditions.