Miracle-dz/UniFAR-FTUs huggingface dataset:
Psychometric Properties of the Little Developmental Coordination Disorder Questionnaire-Taiwan.

IMPORTANCE Early identification of young children at risk of developmental coordination disorder (DCD) can support early intervention and prevent secondary sequelae. OBJECTIVE To examine the psychometric properties of a translated and cross-culturally adapted version of the Little Developmental Coordination Disorder Questionnaire-Taiwan (LDCDQ-TW). DESIGN Prospective study. SETTING Kindergartens and preschools in north, central, and south Taiwan. PARTICIPANTS In Phase 1 the participants were 1,124 parents of typically developing children ages 36-71 mo. Children with confirmed developmental diagnoses were excluded. Participants in Phase 3 were 162 children who had been recruited in Phase 2. Outcomes and Measures: The LDCDQ-TW, a 15-item parent questionnaire for identifying children at risk for DCD, and the Movement Assessment Battery for Children (2nd ed.; MABC-2), were administered. RESULTS The findings revealed excellent test-retest reliability (intraclass correlation coefficient [ICC] = .97) and poor interrater reliability (ICC = .47). On the basis of MABC-2 scores, the non-DCD group (≥15th percentile) scored significantly higher than the DCD and suspect-DCD groups on the LDCDQ-TW, but the latter two groups did not differ from one another. Using the 15th percentile as a cutoff for both the MABC-2 and the LDCDQ-TW, sensitivity was . 96 and specificity was . 68. CONCLUSIONS AND RELEVANCE Although standardized performance-based assessments are required to confirm a diagnosis of DCD (typically after age 5 yr), the LDCDQ-TW demonstrated sound reliability and validity and can support the early identification of young children at risk of DCD in Taiwan. What This Article Adds: The LDCDQ-TW can facilitate early intervention for DCD and prevent secondary sequelae, improving outcomes for children with DCD.
The Genome of Enterobacter hormaechei Strain MG02, a 2,4-Dichlorophenoxyacetic Acid-Degrading Bacterium Isolated from Brazilian Soil

Enterobacter hormaechei strain MG02 was isolated from a mixed culture collected from soil with a history of pesticide application. This strain degrades 2,4-dichlorophenoxyacetic acid (2,4-D). Here, we report on its genome, which has 4,923,875 bp and 55.4% G+C content. ABSTRACT Enterobacter hormaechei strain MG02 was isolated from a mixed culture collected from soil with a history of pesticide application. This strain degrades 2,4-dichlorophenoxyacetic acid (2,4-D). Here, we report on its genome, which has 4,923,875 bp and 55.4% G+C content.
Investigating the interplay between the attributes of at-fault and not-at-fault drivers and the associated impacts on crash injury occurrence and severity level

ABSTRACT The article proposes a two-staged modelling approach to identify the association between one vehicle's attributes, as well as roadway engineering, environmental and crash characteristics, and the injury severity of occupants in the partnering vehicle in two-vehicle crashes. The modelling approach uses a bivariate binary probit model, and crash data for Toronto, to first determine the probability of injury and no injury occurring, followed by the use of a bivariate ordered probit model to investigate the conditional probability of the specific severity level. Vehicles in two-vehicle crashes are categorized as “not-at-fault” (NAF) or “at-fault” (AF) and their occupants also categorized as such. The findings demonstrate that the modelling approach used in this study can reveal meaningful insights by improving understanding of how the same attribute could behave differently for NAF and AF vehicles. For example, factors found to be associated with increased probability of more severe injuries of NAF vehicle occupants are inattentive driving, left-turn movement, heavy vehicle type of the AF vehicle, and angle and rear-end impact type; conversely, for AF vehicles, their probability of more severe injury is positively associated with inattentive driving and heavy vehicle type of the NAF vehicle, and angle and approaching impact type.
EUROLD: preliminary results of the ecological study on suicide and its associated socioeconomic variables in people over 85 in Europe

Introduction Approximately one person commits suicide every 40 seconds, resulting in more than 800,000 deaths per year worldwide. Regarding this phenomenon, it is necessary to highlight how suicide rates increase markedly with age. These reach their highest figures in people aged 85 years or older, and this increase is very worrying in certain geographical areas. Although there is extensive literature on the risk factors that influence at the individual level, the same cannot be said when the problem is analyzed at the population level. Objectives The study aims to review the entire Eurostat database, relating suicide data from different European countries to any possible variables that may influence suicide. In this pilot phase, certain socioeconomic variables were chosen based on criteria of suitability and availability of the information provided, selecting data from 2015, as it was the most recent year in which most countries reported their data on suicide in people over 85 years of age. Methods Firstly, a comparison was made of suicide rates in people over 85 years of age in relation to overall suicide rates in different European countries (suicide rate in people over 85 years of age divided by the total rate in the country). Secondly, socioeconomic variables that may be more strongly related to suicide in this age group in these European countries were studied. After calculating the conditional suicide rate in people over 85 years of age with respect to the overall suicide rate in each country (Fig. 1), Spearman correlations were performed between the conditional rates and different demographic variables, economic variables, social variables, and health variables. Results Conditional suicide rates in people over 85 years of age show a marked difference between southern and northern European countries. In the correlational analysis, several significant associations were found. Suicide in those over 85 years of age was associated with economic variables (social deprivation, economic impossibility to buy new clothes, impossibility to dedicate money for personal matters and Gini coefficient), demographic (old-age dependency ratio) and health (self-perceived health). After performing a multivariate regression with the variables that were significant in the Spearman correlation, included the variables “old-age dependency ratio (X1)” and “economic impossibility to buy new clothes (X2),” with a value of R-square = 0.612 and a value of p < 0.01. Image: Conclusions The conclusions suggest that of the different variables studied, the great majority in which an association has been found belong to the field of economics, specifically poverty and economic inequality, and demographics, highlighting the old-age dependency ratio. Furthermore, marked north/south differences can be observed in the different European countries. Disclosure of Interest None Declared
First identification of bla NDM-5 producing Escherichia coli from neonates and a HIV infected adult in Tanzania

Introduction. Carbapenem-resistant members of the family Enterobacteriaceae are emerging as a global public-health threat and cause substantial challenges in clinical practice. Gap Statement. There is a need for increased and continued genomic surveillance of antimicrobial resistance genes globally in order to detect outbreaks and dissemination of clinically important resistance genes and their associated mobile genetic elements in human pathogens. Aim. To describe the resistance mechanisms of carbapenem-resistant Escherichia coli . Methods. Rectal swabs from neonates and newly diagnosed human immunodeficiency virus (HIV) infected adults were collected between April 2017 and May 2018 and screened for faecal carriage of carbapenamases and OXA-48 producing members of the family Enterobacteriaceae. Bacterial isolates were identified using matrix assisted laser desorption ionization time of flight mass spectrometry. Antimicrobial susceptibility testing was performed by E-test. Whole genomes of carbapenem-resistant E. coli were investigated using a hybrid assembly of Illumina and Oxford Nanopore Technologies sequencing reads. Results. Three carbapenem-resistant E. coli were detected, two from neonates and one from an HIV infected adult. All three isolates carried bla NDM-5. Two E. coli from neonates belonged to ST167 and bla NDM-5 co-existed with bla CTX-M-15 and bla OXA-01, and all were carried on IncFIA type plasmids. The E. coli from the HIV infected adult belonged to ST2083, and carried bla NDM-5 on an IncX3 type plasmid and bla CMY-42 on an IncI type plasmid. All bla NDM-5 carrying plasmids contained conjugation related genes. In addition, E. coli from the HIV infected adult carried three more plasmid types; IncFIA, IncFIB and Col(BS512). One E. coli from a neonate also carried one extra plasmid Col(BS512). All three E. coli harboured resistance genes to fluoroquinolone, aminoglycosides, sulfamethoxazole, trimethoprim, macrolides and tetracycline, carried on the IncFIA type plasmid. Furthermore, E. coli from the neonates carried a chloramphenicol resistance gene (catB3), also on the IncFIA plasmid. All three isolates were susceptible to colistin. Conclusion. This is the first report, to our knowledge, from Tanzania detecting bla NDM-5 producing E. coli. The carbapenemase gene was carried on an IncFIA and IncX3 type plasmids. Our findings highlight the urgent need for a robust antimicrobial resistance (AMR) surveillance system to monitor and rapidly report on the incidence and spread of emerging resistant bacteria in Tanzania.
Quantitative magnetic resonance neurographic characterization of peripheral nerve involvement in manifest and pre‐ataxic spinocerebellar ataxia type 3

Knowledge about the exact underlying pathophysiological changes involved in the genesis and progression of spinocerebellar ataxia type 3 (SCA3) is limited. Lower extremity peripheral nerve lesions in clinically, genetically and electrophysiologically classified ataxic and pre‐ataxic SCA3 mutation carriers were characterized and quantified by magnetic resonance neurography (MRN).
Dissociation of basolateral and central amygdala effective connectivity predicts the stability of emotion-related impulsivity in adolescents and emerging adults with borderline personality symptoms: a resting-state fMRI study

Abstract Background Borderline personality disorder (BPD) is associated with altered activity in the prefrontal cortex (PFC) and amygdala, yet no studies have examined fronto-limbic circuitry in borderline adolescents and emerging adults. Here, we examined the contribution of fronto-limbic effective connectivity (EC) to the longitudinal stability of emotion-related impulsivity, a key feature of BPD, in symptomatic adolescents and young adults. Methods We compared resting-state EC in 82 adolescents and emerging adults with and without clinically significant borderline symptoms (n BPD = 40, ages 13–30). Group-specific directed networks were estimated amongst fronto-limbic nodes including PFC, ventral striatum (VS), central amygdala (CeN), and basolateral amygdala (BLA). We examined the association of directed centrality metrics with initial levels and rates of change in emotion-related impulsivity symptoms over a one-year follow-up using latent growth curve models (LGCMs). Results In controls, ventromedial prefrontal cortex (vmPFC) and dorsal ACC had a directed influence on CeN and VS, respectively. In the BPD group, bilateral BLA had a directed influence on CeN, whereas in the healthy group CeN influenced BLA. LGCMs indicated that emotion-related impulsivity was stable across a one-year follow-up in the BPD group. Further, higher EC of R CeN to other regions in controls was associated with stronger within-person decreases in emotion-related impulsivity. Conclusions Functional inputs from BLA and vmPFC appear to play competing roles in influencing CeN activity. In borderline adolescents and young adults, BLA may predominate over CeN activity, while in controls the ability of CeN to influence BLA activity predicted more rapid reductions in emotion-related impulsivity.
GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records

There is an increasing interest in developing massive-size deep learning models in natural language processing (NLP) - the key technology to extract patient information from unstructured electronic health records (EHRs). However, there are limited studies exploring large language models in the clinical domain; the current largest clinical NLP model was trained with 110 million parameters (compared with 175 billion parameters in the general domain). It is not clear how large-size NLP models can help machines understand patients' clinical information from unstructured EHRs. In this study, we developed a large clinical transformer model - GatorTron - using >90 billion words of text and evaluated it on 5 clinical NLP tasks including clinical concept extraction, relation extraction, semantic textual similarity, natural language inference, and medical question answering. GatorTron is now the largest transformer model in the clinical domain that scaled up from the previous 110 million to 8.9 billion parameters and achieved state-of-the-art performance on the 5 clinical NLP tasks targeting various healthcare information documented in EHRs. GatorTron models perform better in understanding and utilizing patient information from clinical narratives in ways that can be applied to improvements in healthcare delivery and patient outcomes.
Impact of the representation of contact data on the evaluation of interventions in infectious diseases simulations

Computational models offer a unique setting to test strategies to mitigate infectious diseases spread, providing useful insights to applied public health. To be actionable, models need to be informed by data, which can be available at different levels of detail. While high resolution data describing contacts between individuals are increasingly available, data gathering remains challenging, especially during a health emergency: many models thus use synthetic data or coarse information to evaluate intervention protocols. Here, we evaluate how the representation of contact data might affect the impact of various strategies in models, in the realm of COVID-19 transmission in educational and work contexts. Starting from high resolution contact data, we use data representations ranging from very detailed to very coarse to inform a model for the spread of SARS-CoV-2 and simulate several mitigation strategies. We find that coarse data representations underestimate the risk of super-spreading events. However, the rankings of protocols according to their efficiency or cost remain coherent across representations, ensuring the consistency of model findings to inform public health advice. Caution should be taken, however, on the quantitative estimations of those benefits and costs that may trigger the adoption of protocols, as these may depend on data representation.
Plasma metabolomics of primary open-angle glaucoma in three prospective US cohorts and the UK Biobank.

Purpose: To better understand the etiologic pathways in glaucoma, we aimed to identify pre-diagnostic plasma metabolites associated with glaucoma risk. Methods: In a case-control study from the Nurses Health Study (NHS), NHSII and Health Professionals Follow-Up Study (HPFS), 599 incident primary open-angle glaucoma (POAG) cases (mean time between blood draw and diagnosis was 10.3 years) were 1:1 matched to 599 controls. Plasma metabolites were measured with LC-MS/MS at the Broad Institute (Cambridge, MA, USA); 367 metabolites from 17 metabolite classes passed quality control analyses. For comparison, in a cross-sectional study in the UK Biobank, 168 NMR metabolites (Nightingale, Finland; version 2020) were measured in serum samples from 2,238 prevalent glaucoma cases and 44,723 controls. Metabolites were probit-score transformed for normality; multiple logistic regression was used to identify metabolites associated with POAG in NHS/NHSII/HPFS and glaucoma in UK Biobank. In NHS/NHSII/HPFS, we also used Metabolite Set Enrichment Analysis to identify metabolite classes associated with POAG. All analyses adjusted for established glaucoma risk factors. False discovery rate (FDR) and number of effective tests (NEF) were used to adjust for multiple comparisons. Results: Nine metabolite classes were associated (FDR<0.05) with POAG in NHS/NHSII/HPFS: triglycerides, diglycerides, two lysophospholipids classes [lysophosphatidylcholines and lysophosphatidylethanolamines], and two phospholipid class [phosphatidylethanolamines and phosphatidylcholines] were positively associated, while cholesteryl esters, carnitines, and organic acids and derivatives were inversely associated with POAG risk; further adjustment for covariates minimally altered the results. These associations were particularly stronger for POAG with paracentral visual field loss. In the UK Biobank, notably, triglycerides and phospholipids (from which lysophospholipids are derived through hydrolysis), were confirmed to be associated (p<0.05) with higher glaucoma risk. Also, in the UK Biobank, the metabolites of tyrosine, glucose, and glutamine were positively associated (NEF<0.2) while 3-hydroxybutyrate, acetate, citrate, pyruvate and lactate (the latter 4 being anionic organic acids) were inversely associated with glaucoma (NEF<0.05). Conclusions: Higher levels of glycerides (diglycerides and triglycerides) and phospholipids were adversely associated with glaucoma in both the NHS/NHSII/HPFS and the UK Biobank, suggesting that they play an important role in glaucoma pathogenesis.
GaN HFET MMICs with integrated Schottky-diode for highly efficient digital switch-mode power amplifiers at 2 GHz

This work describes the integration of Schottky diodes into fast GaN MMIC process technology suitable for the realization of switch-mode power amplifier core chips for class-S operation at 2 GHz. With the demonstration of this technology, the so-called third-quadrant issue, which reduces the efficiency in band pass-Δ-Σ class-S operation can be diminished on device level. Compared to a hybrid diode assembly, the broadband properties of the amplifier module with on-chip-integrated diode can be improved by the reduction of parasitic losses. The GaN heterostructure field effect transistors (HFETs) with integrated series diode show a cut-off frequency of 28 GHz with drain breakdown voltages exceeding −100 and +100 V and comparable large signal performance to conventional GaN HFETs at 10 GHz. MMIC core chips for class-D and class-S switch-mode power amplifier modules are demonstrated for the operation at mobile communication frequencies between 0.45 and 2 GHz and signal bit rates up to 8 Gbps. The circuits yield broadband output power levels between 4 and 9 W with efficiencies of up to 80%.
Semi-Structured Query Grounding for Document-Oriented Databases with Deep Retrieval and Its Application to Receipt and POI Matching

Semi-structured query systems for document-oriented databases have many real applications. One particular application that we are interested in is matching each financial receipt image with its corresponding place of interest (POI, e.g., restaurant) in the nationwide database. The problem is especially challenging in the real production environment where many similar or incomplete entries exist in the database and queries are noisy (e.g., errors in optical character recognition). In this work, we aim to address practical challenges when using embedding-based retrieval for the query grounding problem in semi-structured data. Leveraging recent advancements in deep language encoding for retrieval, we conduct extensive experiments to find the most effective combination of modules for the embedding and retrieval of both query and database entries without any manually engineered component. The proposed model significantly outperforms the conventional manual pattern-based model while requiring much less development and maintenance cost. We also discuss some core observations in our experiments, which could be helpful for practitioners working on a similar problem in other domains.
Detection of d1 ⊗ d2 Dimensional Bipartite Entangled State: A Graph Theoretical Approach

Braunstein et. al. have started the study of entanglement properties of the quantum states through graph theoretical approach. Their idea was to start from a simple unweighted graph G and then they have defined the quantum state from the Laplacian of the graph G. A lot of research had already been done using the similar idea. We ask here the opposite one i.e can we generate a graph from the density matrix? To investigate this question, we have constructed a unital map φ such that φ(ρ) = Lρ + ρ, where the quantum state is described by the density operator ρ. The entries of Lρ depends on the entries of the quantum state ρ and the entries are taken in such a way that Lρ satisfies all the properties of the Laplacian. This make possible to design a simple connected weighted graph from the Laplacian Lρ. We show that the constructed unital map φ characterize the quantum state with respect to its purity by showing that if the determinant of the matrix φ(ρ)−I is positive then the quantum state ρ represent a mixed state. Moreover, we study the positive partial transpose (PPT) criterion in terms of the spectrum of the density matrix under investigation and the spectrum of the Laplacian associated with the given density matrix. Furthermore, we derive the inequality between the minimum eigenvalue of the density matrix and the weight of the edges of the connected subgraph of a simple weighted graph to detect the entanglement of d1 ⊗ d2 dimensional bipartite quantum states. Lastly, We have illustrated our results with few examples.
Social Enterprise and Urban Regeneration : a Model for the Future?

The UK is currently experiencing the longest and deepest recession since the 1920s. Against this backdrop, social enterprise is increasingly been seen by policy makers as playing an important role in boosting the local economy, as an alternative way of promoting economic development and contributing to regeneration. This paper examines the links between social enterprise and regeneration, and then explores these issues through a case study where social enterprise has been embedded within a regeneration strategy. The paper shows that there is real potential for social enterprise to play a role in future regeneration schemes, developing from the bottom up, in community-led initiatives. However, social enterprise is only one potential solution to the deep-seated challenges that underpin deprived neighbourhoods. These should be addressed through a wider holistic strategy to create more sustainable and socially just communities.
On-chip mechanical exceptional points based on an optomechanical zipper cavity

Exceptional points (EPs) represent a distinct type of spectral singularity in non-Hermitian systems, and intriguing physics concepts have been studied with optical EPs recently. As a system beyond photonics, the mechanical oscillators coupling with many physical systems are expected to be further exploited EPs for mechanical sensing, topology energy transfer, nonreciprocal dynamics, etc. In this study, we demonstrated on-chip mechanical EPs with a silicon optomechanical zipper cavity, wherein two near-degenerate mechanical breathing modes are coupled via a single colocalized optical mode. By tailoring the dissipative and coherent couplings between two mechanical oscillators, the spectral splitting with 1/2 order response, a distinctive feature of EP, was observed successfully. Our work provides an integrated platform for investigating the physics related to mechanical EPs on silicon chips and suggests their possible applications for ultrasensitive measurements.