Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Social Needs Screening and In-Person Service Navigation on Child Health: A Randomized Clinical Trial.

Importance Social determinants of health shape both children's immediate health and their lifetime risk for disease. Increasingly, pediatric health care organizations are intervening to address family social adversity. However, little evidence is available on the effectiveness of related interventions. Objective To evaluate the effects of social needs screening and in-person resource navigation services on social needs and child health. Design, Setting, and Participants Patients were randomized to intervention or active control conditions by the day of the week. Primary outcomes observed at 4 months after enrollment included caregivers' reports of social needs and child health status. Recruitment occurred between October 13, 2013, and August 27, 2015, in pediatric primary and urgent care clinics in 2 safety-net hospitals. Participants were English-speaking or Spanish-speaking caregivers accompanying minor children to nonacute medical visits. Interventions After standardized screening, caregivers either received written information on relevant community services (active control) or received in-person help to access services with follow-up telephone calls for further assistance if needed (navigation intervention). Main Outcomes and Measures Change in reported social needs and in caregiver assessment of child's overall health reported 4 months later. Results Among 1809 patients enrolled in the study, evenly split between the 2 sites, 31.6% (n = 572) were enrolled in a primary care clinic and 68.4% (n = 1237) were enrolled in an urgent care setting. The children were primarily Hispanic white individuals (50.9% [n = 921]) and non-Hispanic black individuals (26.2% [n = 473]) and had a mean (SD) age of 5.1 (4.8) years; 50.5% (n = 913) were female. The reported number of social needs at baseline ranged from 0 to 11 of 14 total possible items, with a mean (SD) of 2.7 (2.2). At 4 months after enrollment, the number of social needs reported by the intervention arm decreased more than that reported by the control arm, with a mean (SE) change of -0.39 (0.13) vs 0.22 (0.13) (P < .001). In addition, caregivers in the intervention arm reported significantly greater improvement in their child's health, with a mean (SE) change of -0.36 (0.05) vs -0.12 (0.05) (P < .001). Conclusions and Relevance To our knowledge, this investigation is the first randomized clinical trial to evaluate health outcomes of a pediatric social needs navigation program. Compared with an active control at 4 months after enrollment, the intervention significantly decreased families' reports of social needs and significantly improved children's overall health status as reported by caregivers. These findings support the feasibility and potential effect of addressing social needs in pediatric health care settings. Trial Registration clinicaltrials.gov Identifier: NCT01939704.
TOWARDS THE DEVELOPMENT OF A NOVEL EVALUATION FRAMEWORK FOR INFORMATION SYSTEMS IN THE HEALTHCARE SECTOR

The paper is submitted as part of doctoral consortium. In this paper, the aim and objectives of research are presented. Overviews of medical informatics research area and evaluation studies in healthcare are given. A review of existing evaluation frameworks which identify through literature review is briefly described. Research methodology is proposed whereby this research will employ mainly qualitative method using a case
Problem Solving in Structured Discovery Cane Travel

Problem solving is considered one of the most important mental processes in which human beings engage. Humans are problem solvers in essence because they live in a world that constantly challenges them by presenting dynamic and unpredictable situations. Most real-world problems are conceptualized as illstructured, because they are vaguely defined, possess unclear goals, and have multiple solutions. In the educational arena, students are not exposed to real-world problems and, therefore, they are not well prepared to solve daily-living situations that involve conflicting options (Jonassen, 2007). In the field of orientation and mobility for individuals who are blind, proponents of the Structured Discovery Cane Travel (SDCT) approach are aware of the central role that problem solving plays in facing reallife situations, and the enormous implications that this has in reaching full independence. This manuscript describes theoretical and empirical aspects of problem solving, and conceptualizes it as one of the main pillars of SDCT.
Study on communication technologies for the optimal operation of smart grids

The traditional electrical grid must evolve to an intelligent smart grid (SG) to achieve efficiency, reliability, environmental and power quality improvements. Communication techniques and protocols will be crucial to manage the SG. This paper studies the communication requirements for SGs and describes the most suitable communication protocols, wired and wireless, with special attention to the latest proposals in this field. The security issues derived from data transmission through electrical grids are also analysed with a deep description of the current best practices employed to assure the SG protection face to intrusions. Copyright © 2013 John Wiley & Sons, Ltd.
Physiological analysis of mutants indicates involvement of the Saccharomyces cerevisiae GPI-anchored protein gp115 in morphogenesis and cell separation

This paper reports a phenotypic characterization of ggp1 mutants. The cloned GGP1 (GAS1) gene, which encodes a major GPI-anchored glycoprotein (gp115) of Saccharomyces cerevisiae of unknown function, was used to direct the inactivation of the chromosomal gene in haploid and diploid strains by gene replacement. The analysis of the null mutants reveals a reduction in the growth rate of 15 to 40%. Cells are round, with more than one bud, and extensively vacuolized. In the stationary phase, mutant cells are very large, arrest with a high percentage of budded cells (about 54 and 70% for haploid and diploid null mutants, respectively, in comparison with about 10 to 13% for control cells), and have reduced viability. The observed phenotype suggests defects in cell separation. Flow cytometric analysis of DNA reveals an increase in the fraction of cells in the G2+M+G1* compartment during exponential growth. Conjugation and sporulation are not affected. The exocellular location of gp115 led us to examine cell wall properties. Cell wall and septum ultrastructure of abnormally budded cells was analyzed by electron microscopy analysis, and no appreciable differences from wild-type cells were found. Microscopic analysis revealed an increase in chitin content and delocalization. In comparison with control cells, ggp1 null mutants are shown to be resistant to Zymolyase during the exponential growth phase. A fivefold overexpression of gp115 does not bring about any effects on cell growth parameters and cell wall properties.
Cytotoxic Effect of Turkish Propolis on Liver, Colon, Breast, Cervix and Prostate Cancer Cell Lines

Purpose: To investigate the total polyphenolic and flavonoid contents, antioxidant power and cytotoxic activity of ethanol extracts of Turkish propolis (EEP). Methods : The total polyphenolic and flavonoid contents of EEP were determined by spectrometric methods. Antioxidant power and cytotoxic activity of EEP were evaluated using ferric reducing antioxidant power (FRAP) and MTT assays, respectively. Results : The total polyphenolic and flavonoid contents, and FRAP value of EEP were 124.6 ± 1.5 mg gallic acid/g sample dry weight , 42.0 ± 0.8 mg quercetin/g sample dry weight and 311.0 ± 2.5 mg trolox/g sample dry weight, respectively. EEP exhibited powerful cytotoxic effects against the five human cancer cell lines. The highest cytotoxic activity of Turkish EEP was demonstrated on PC-3 cell line (IC50 = 20.7±3.4 μg/mL). Conclusion : The results demonstrate that EEP is a good source of antioxidant and a natural antitumor agent capable of reducing cancer cell proliferation. Keywords : Propolis, Polyphenols, Cytotoxic effect, Cancer cell lines, Antioxidant activity Tropical Journal of Pharmaceutical Research is indexed by Science Citation Index (SciSearch),
Sparse and Low-Rank Tensor Decomposition

Motivated by the problem of robust factorization of a low-rank tensor, we study the question of sparse and low-rank tensor decomposition. We present an efficient computational algorithm that modifies Leurgans' algorithm for tensor factorization. Our method relies on a reduction of the problem to sparse and low-rank matrix decomposition via the notion of tensor contraction. We use well-understood convex techniques for solving the reduced matrix sub-problem which then allows us to perform the full decomposition of the tensor. We delineate situations where the problem is recoverable and provide theoretical guarantees for our algorithm. We validate our algorithm with numerical experiments.
A Multilevel Modular Converter for a Large, Light Weight Wind Turbine Generator

In an onshore horizontal axis wind turbine, generator and converter are usually in the nacelle on the top of the tower, while the grid step-up transformer is placed at the bottom. Electric power is transmitted down through flexible cables of high current rating which are expensive and can suffer from large I2 R loss. An offshore wind turbine usually has to include the step-up transformer in the nacelle. This adds significantly to the mechanical loading of the tower even new designs aim to reduce the transformer size and weight. In either case, a transformer-less, high voltage, high reliability generating unit for nacelle installation would be an attractive technology for large wind turbines. This study presents a power electronic solution based on a permanent magnet generator design. A multilevel cascaded voltage source converter is developed to synthesize a high sinusoidal output voltage. The dc link voltages of inverter modules are balanced by rectifiers fed from isolated generator coils while the inverter switching strategy equalizes the power sharing between the modules. The switching strategy also reduces the low order harmonics to constrain the sizing of the dc link capacitors. The modulating effect between the ac and dc sides of the inverter is taken into account. This paper describes the generator-converter arrangement, analyzes the inverter switching effects and derives the switching strategy which is verified by simulation and laboratory experiment.
Genetic and clinical characteristics of primary and secondary glioblastoma is associated with differential molecular subtype distribution

Glioblastoma multiforme (GBM) is classified into primary (pGBM) or secondary (sGBM) based on clinical progression. However, there are some limits to this classification for insight into genetically and clinically distinction between pGBM and sGBM. The aim of this study is to characterize pGBM and sGBM associating with differential molecular subtype distribution. Whole transcriptome sequencing data was used to assess the distribution of molecular subtypes and genetic alterations in 88 pGBM and 34 sGBM in a Chinese population-based cohort, and the biological progression and prognostic impact were analyzed by combining clinical information. Forty-one percentage of pGBM were designated as Mesenchymal subtype, while only 15% were the Proneural subtype. However, sGBM displayed the opposite ratio of Mesenchymal (15%) and Proneural (44%) subtypes. Mutations in isocitrate dehydrogenase-1 (IDH1) were found to be highly concentrated in the Proneural subtypes. In addition, patients with sGBM were 10 years younger on average than those with pGBM, and exhibited clinical features of shorter overall survival and frontal lobe tumor location tendency. Furthermore, in sGBM, gene sets related to malignant progression were found to be enriched. Overall, these results reveal the intrinsic distinction between pGBM and sGBM, and provide insight into the genetic and clinical attributes of GBM.
On-line incremental adaptation for speaker verification using maximum likelihood estimates of CDHMM parameters

Investigates two approaches to the online incremental adaptation of continuous-density hidden Markov model (CDHMM) parameters. First, the popular maximum a-posteriori (MAP) approach is examined, highlighting difficulties in automatically setting the adaptation rate. To overcome these problems, we introduce a new approach, based on the multi-observation estimation equations of the forward-backward algorithm, called the cumulative likelihood estimate (CLE). Experimental results using these two approaches are compared with and without the use of a speech model for enrolment on isolated-word speaker models. In both enrolment procedures, the CLE approach can achieve an equal error rate (EER) of approximately 1% for six adaptation sequences using a single-digit test token.
ParCor 1.0: A Parallel Pronoun-Coreference Corpus to Support Statistical MT

We present ParCor, a parallel corpus of texts in which pronoun coreference ― reduced coreference in which pronouns are used as referring expressions ― has been annotated. The corpus is intended to be used both as a resource from which to learn systematic differences in pronoun use between languages and ultimately for developing and testing informed Statistical Machine Translation systems aimed at addressing the problem of pronoun coreference in translation. At present, the corpus consists of a collection of parallel English-German documents from two different text genres: TED Talks (transcribed planned speech), and EU Bookshop publications (written text). All documents in the corpus have been manually annotated with respect to the type and location of each pronoun and, where relevant, its antecedent. We provide details of the texts that we selected, the guidelines and tools used to support annotation and some corpus statistics. The texts in the corpus have already been translated into many languages, and we plan to expand the corpus into these other languages, as well as other genres, in the future.
Implementation of a testing environment for digital IP cores

This paper proposes a Verilog HDL-based fault simulation and testing environment for embedded IP core-based digital systems, specifically targeted towards synchronous memory-based systems, for detecting single stuck-line faults. The simulator emulates a typical BIST (built-in self-testing) environment with test pattern generator that sends its outputs to a MUT (module under test) and the output streams from the MUT are fed into a response data analyzer. A fault is detected if the module response is different from that of the fault-free module. All of the faults detected are recorded in a detailed simulation results file. The fault simulator is suitable for testing sequential circuits described in Verilog HDL. The automatic fault simulator generates tests for the MUT described at the gate and flip-flop level. There are very few constraints on the circuit. The simulation process is completely automatic, and requires no intervention from the designer during the test generation process. The paper describes in detail the architecture and applications of the fault simulator along with the models of sequential elements used. Results on some simulation experiments on ISCAS 89 sequential benchmark circuits are also provided.
Rapid Update of Multilingual Deep Neural Network for Low-Resource Keyword Search

This paper proposes an approach to rapidly update a multilingual deep neural network (DNN) acoustic model for low-resource keyword search (KWS). We use submodular data selection to select a small amount of multilingual data which covers diverse acoustic conditions and is acoustically close to a low-resource target language. The selected multilingual data together with a small amount of the target language data are then used to rapidly update the readily available multilingual DNN. Moreover, the weighted crossentropy criterion is applied to update the multilingual DNN to obtain the acoustic model for the target language. To verify the proposed approach, experiments were conducted based on four speech corpora (including Cantonese, Pashto, Turkish, and Tagalog) provided by the IARPA Babel program and the OpenKWS14 Tamil corpus. The 3-hour very limited language pack (VLLP) of the Tamil corpus is considered as the target language, while the other four speech corpora are viewed as multilingual sources. Comparing with the traditional crosslingual transfer approach, the proposed approach achieved a 19% relative improvement in actual term weighted value on the 15-hour evaluation set in the VLLP condition, when a word-based or word-morph mixed language model was used. Furthermore, the proposed approach was observed to have similar performance as the KWS system based on the acoustic model built using the target language and all multilingual data from scratch, but with shorter training time.
Experience with a modular typed language: PROTEL

The support for modular software and the ability to perform type checking across module boundaries are becoming the mainstay of recent high level language design. This is well illustrated by languages such as MESA and the US Department of Defence's new standard language ADA. At Bell-Northern Research, PROTEL, one of the first modular typed languages, has been used since 1975 to implement a substantial software system. The experience accumulated in building this system has given us a unique perspective. It has shown that the confidence of language designers in modular typed languages is well founded. It has also revealed some pitfalls which others will undoubtedly encounter. The purpose of this paper is to share our experience by outlining the nature of the problems and our solutions to them.
PushPush-k is PSPACE-Complete

We prove that a pushing-block puzzle called PUSHPUSH-k is PSPACE-complete for any fixed k ≥ 1. In this puzzle, a robot moves on a finite grid. Each grid position is either empty or occupied by a single obstacle block. While moving, the robot may push obstacle blocks in direction of its movement, subject to certain constraints. In particular, once an obstacle block starts moving, it continues to do so until it hits another obstacle or the grid boundary. The problem is to decide whether the robot can navigate from a given start position to a specified goal position on the grid.
Performance analysis of application-level multicast routing algorithms for supporting multipoint interaction synchronization

Multipoint Video Conferencing (MVC) where multiple participants can be simultaneous sources of video requires low-delay, low packet loss and multipoint interaction synchronization. However, the synchronization issue is ignored by existing application-level multicast schemes and usually, it is addressed by a dedicated synchronizing controller at each peer. The controller needs to implement complicated time-consuming operations to synchronize multiple interactive media streams. Unlike the existing application-level multicast schemes, this paper introduces an idea that the synchronization problem is solved in the process of application-level multicast routing, without using the dedicated synchronizing controller. Furthermore, the low-delay multicast communication is achieved on base of the idea. The contributions of this paper include: 1.the concept that application-level multicast routing algorithms support multipoint interaction synchronization is defined by us; 2.an effective lowdelay multicast routing algorithm that supports multipoint interaction synchronization is proposed; 3.performance analysis of our algorithm and the existing similar algorithm is carried out. Finally, simulation experiments demonstrate our algorithm is correct and effective.
Tracking periodic motion using Bayesian estimation

This work presents a Bayesian approach to achieve efficient and accurate motion tracking in monocular image sequences. We first extract a deterministic motion model with six degrees of freedom in an on-line learning phase. This is followed by predicting the image points in successive frames, and achieving correspondence in the context of Monte Carlo estimation. Meanwhile, the motion parameters of the camera are simultaneously estimated. The experimental results show that the stable and accurate ego-motion parameters can be obtained.
The age of the oldest Open Clusters

We determine ages of 71 old Open Clusters by a two-step method: we use main-squence fitting to 10 selected clusters, in order to obtain their distances, and derive their ages from comparison with our own isochrones used before for Globular Clusters. We then calibrate the morphological age indicator δ(V), which can be obtained for all remaining clusters, in terms of age and metallicity. Particular care is taken to ensure consistency in the whole procedure. The resulting Open Cluster ages connect well to our previous Globular Cluster results. From the Open Cluster sample, as well as from the combined sample, questions regarding the formation process of Galactic components are addressed. The age of the oldest open clusters (NGC 6791 and Be 17) is of the order of 10 Gyr. We determine a delay by 2.0 ± 1.5 Gyr between the start of the halo and thin disk formation, whereas thin and thick disk started to form approximately at the same time. We do not find any significant age- metallicity relationship for the open cluster sample. The cumulative age distribution of the whole open cluster sample shows a moderately significant (∼2σ level) departure from the predictions for an exponentially declining dissolution rate with timescale of 2.5 Gyr. The cumulative age distribution does not show any trend with galactocentric distance, but the clusters with larger height to the Galactic plane have an excess of objects between 2-4 and 6 Gyr with respect to their counterpart closer to the plane of the Galaxy.
Simulation of correlated Pareto distributed sea clutter

The memoryless nonlinear transformation method is used to simulate Pareto distributed sea clutter with a specified correlation function for the clutter power. The Pareto distribution is formed from a compound model with a negative exponential distribution for the speckle intensity and an inverse gamma distribution for the clutter power. An estimator based on the expectation value of z log z is obtained for the Pareto shape parameter, which has comparable accuracy to the maximum likelihood estimator and the advantage of also being applicable to the compound gamma distribution which arises for multiple looks.
The effects of chronic infection with a superantigen-producing virus

C3H/HeJ mice transmit a mouse mammary tumor virus from mother to pup in milk. The retrovirus infects mice shortly after birth and, when expressed in recipient mice, produces a V beta 14-specific superantigen. The consequences of such expression on V beta 14-bearing T cells are examined in this paper. Most cells bearing V beta 14 and either CD4 or CD8 are eliminated in the thymus. Some V beta 14-bearing cells escape to the periphery, however. Those bearing CD8 are unaffected by expression of the viral superantigen. The percentage of peripheral CD4+ T cells bearing V beta 14 drops with time after birth. In large part this seems to be due to the fact that many of these cells become anergic because of exposure to the viral superantigen. Unlike normal T cells, these anergic cells cannot undergo peripheral postthymic expansion. Consequently, they drop in percentage even during a time when their total numbers are constant.