Miracle-dz/UniFAR-FTUs huggingface dataset:
Author's response to reviews Title: The prevalence of common mental disorders and PTSD in the UK military: using data from a clinical interview-based study Authors:

Background: The mental health of the Armed Forces is an important issue of both academic and public interest. The aims of this study are to: a) assess the prevalence and risk factors for common mental disorders and post traumatic stress disorder (PTSD) symptoms, during the main fighting period of the Iraq War (TELIC 1) and later deployments to Iraq or elsewhere and enlistment status (regular or reserve), and b) compare the prevalence of depression, PTSD symptoms and suicidal ideation in regular and reserve UK Army personnel who deployed to Iraq with their US counterparts. Methods: Participants were drawn from a large UK military health study using a standard two phase survey technique stratified by deployment status and engagement type. Participants undertook a structured telephone interview including the Patient Health Questionnaire (PHQ) and a short measure of PTSD (Primary Care PTSD, PC-PTSD). The response rate was 76% (821 participants). Results: The weighted prevalence of common mental disorders and PTSD symptoms was 27.2% and 4.8%, respectively. The most common diagnoses were alcohol abuse (18.0%) and neurotic disorders (13.5%). There was no health effect of deploying for regular personnel, but an increased risk of PTSD for reservists who deployed to Iraq and other recent deployments compared to reservists who did not deploy. The prevalence of depression, PTSD symptoms and subjective poor health were similar between regular US and UK Iraq combatants. Conclusions: The most common mental disorders in the UK military are alcohol abuse and neurotic disorders. The prevalence of PTSD symptoms remains low in the UK military, but reservists are at greater risk of psychiatric injury than regular personnel.
OP-IJEJ190209 1..9

Background: Previous studies suggest that birthweight may influence age at natural menopause, but the evidence remains inconclusive. Thus, we aimed to estimate the association of birthweight with age at natural menopause. Methods: A retrospective population study of 164 608 women in Norway, aged 48–71 years. Data were obtained by two self-administered questionnaires among participants in BreastScreen Norway during 2006–2014. We used Cox proportional hazard models to estimate hazard ratios and logistic regression models to estimate odds ratios of menopause according to birthweight. Restricted cubic splines were applied to allow for possible non-linear associations, and adjustments were made for year and country of birth. Results: Women with birthweight <2500 g were median 51 years at menopause (interquartile range 49–54 years), whereas women with birthweight 3500–3999 g were median 52 years at menopause (interquartile range 49–54 years). The hazard ratio of menopause decreased with increasing birthweight up until 3500 g. At birthweights >3500 g, we estimated no further decrease (P for non-linearity 1⁄4 0.007). Birthweight at 2500 g increased the odds ratios of menopause before the age of 45 [1.20; 95% confidence interval (CI): 1.14–1.25] and the age of 40 (1.26; 95% CI: 1.15–1.38) compared with birthweight at 3500 g. At birthweights 4000 g and 4500 g, the odds ratio estimates were very similar to the reference group and the CIs overlapped 1.00. Conclusions: We found a non-linear dose-relationship of birthweight with age at natural menopause, and low birthweight was associated with early natural menopause. VC The Author(s) 2019. Published by Oxford University Press on behalf of the International Epidemiological Association. 1 This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/ by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contactjournals.permissions@oup.com IEA International Epidemiological Association International Journal of Epidemiology, 2019, 1–9 doi: 10.1093/ije/dyz207
Behavioral Finance and Financial Contagion: The Evidence of DCC-MGARCH Model From 63 Equity Markets

The paper aims to test the existence of financial contagion between foreign stock markets of several emerging and developed countries during the U.S subprime crisis. It empirically attests for contagion through a DCC MGARCH (1.1) and an adjusted correlation test over 63 emerging and developing stock markets during the period from 02/01/2003 to 31/12/2013. As a result of the model of DCC-MGARCH analysis, we find the evidence of contagion during U.S subprime crisis for most of the developed and emerging countries. Another finding is the emerging markets seem to be the most influenced by the contagion effects during U.S. subprime crisis. Since financial contagion is important for monetary policy, risk measurement, asset pricing and portfolio allocation, the findings of paper may be the interest of policy makers, investors, and portfolio managers.
University of Groningen Automatic classification of gait in children with early-onset ataxia or developmental coordination disorder and controls using inertial sensors Mannini,

1 Early-Onset Ataxia (EOA) and Developmental Coordina tion Disorder (DCD) are two 2 conditions that affect coordination in children. Ph enotypic identification of impaired 3 coordination plays an important role in their diagn osis. Gait is one of the tests included in 4 rating scales that can be used to assess motor coor dination. 5 A practical problem is that the resemblance between EOA and DCD symptoms can hamper 6 their diagnosis. In this study we employed inertial sensors and a supervised classifier to 7 obtain an automatic classification of the condition of participants. Data from shank and waist 8 mounted inertial measurement units were used to ext ract features during gait in children 9 diagnosed with EOA or DCD and age-matched controls. We defined a set of features from 10 the recorded signals and we obtained the optimal fe atur s for classification using a backward 11 sequential approach. We correctly classified 80.0%, 85.7%, and 70.0% of the control, DCD 12 and EOA children, respectively. Overall, the automa tic classifier correctly classified 78.4% 13 of the participants, which is slightly better than the phenotypic assessment of gait by two 14 pediatric neurologists (73.0%). These results demon strate that automatic classification 15 employing signals from inertial sensors obtained du ring gait maybe used as a support tool in 16 the differential diagnosis of EOA and DCD. Furtherm o e, future extension of the classifier’s 17 test domains may help to further improve the diagno stic accuracy of pediatric coordination 18 impairment. In this sense, this study may provide a first step towards incorporating a 19 clinically objective and viable biomarker for ident ification of EOA and DCD. 20
Applications to Diffusion and Perfusion MRI

1 SUMMARY IN SWEDISH – SAMMANFATTNING PÅ SVENSKA. 3 LIST OF PAPERS . 5 PRELIMINARY REPORTS . 6 PAPERS NOT INCLUDED IN THE THESIS . 8 MY CONTRIBUTION TO THE PAPERS . 9 ABBREVIATIONS . 10
BenchCouncil's View on Benchmarking AI and Other Emerging Workloads

This paper outlines BenchCouncil's view on the challenges, rules, and vision of benchmarking modern workloads like Big Data, AI or machine learning, and Internet Services. We conclude the challenges of benchmarking modern workloads as FIDSS (Fragmented, Isolated, Dynamic, Service-based, and Stochastic), and propose the PRDAERS benchmarking rules that the benchmarks should be specified in a paper-and-pencil manner, relevant, diverse, containing different levels of abstractions, specifying the evaluation metrics and methodology, repeatable, and scaleable. We believe proposing simple but elegant abstractions that help achieve both efficiency and general-purpose is the final target of benchmarking in future, which may be not pressing. In the light of this vision, we shortly discuss BenchCouncil's related projects.
A BRIEF REVIEW ON ANALYTICAL METHODS FOR ESTIMATION OF ISRADIPINE IN PHARMACEUTICAL FORMULATION AND BIOLOGICAL MATRICES

Isradipine (ISRA) is a calcium channel blocking agent and a drug of the dihydropyridine (DHP) class. It is utilized for the treatment of hypertension and congestivecardiac failure (CHF). It selectively binds with the calcium channel receptor with high compatibility and averts calcium alteration into cardiac and arterial smoothmuscle cells. ISRA employed to cure deliberate hypertension, used alone or in combination with thiazide diuretics. The present review article represents thecompilation and discussion of analytical methods published in the literature for estimation of ISRA in pharmaceutical samples and biological matrices consisting ofTLC/ densitometry, HPLC, UV-Visible method, Spectrofluorometry, Capillary Electrophoresis (CE), Polarography, Voltammetry and hyphenated techniques suchas LC-MS; LC-MS-MS, GC-MS, etc.
Abridged Bry-Boschan Procedure

This paper examines what kind of filtering would be useful for the Bry-Boschan (BB) procedure to replicate the official reference dates, using Index of Industrial Production (IIP) of Japan. We use the official seasonal-adjustment series, filtering-based equivalents, and business-cycle components extracted by bandpassing. The main findings are as follows. First, the business cycle components, extracted by bandpass filters, are useful for the BB procedure to produce dates of the turns close to the reference dates. Particularly, the Butterworth-based bandpass filtering works well. Second, the seasonally adjusted series, whether adjusted by X12-ARIMA (official data) or by a bandpass filter, cannot identify turns in 1960s, or overidentify those in 2000s. Finally, we find a series of the moving averages and outlier adjustment in the BB procedure are not useful to replicate the official reference dates when we use the tangentbased Butterworth filter. Then, we obtain an abridged edition of the BB procedure.
4-qubit Grover's algorithm implemented for the ibmqx5 architecture

Quantum computing is a quickly growing field of research thanks to recent hardware advances. The quantum mechanical properties of quantum computers allow them to solve certain families of problems faster than classical computers. A quantum algorithm solving such a problem is Grover’s algorithm, which finds an element in an unordered set faster than any classical search algorithm. In this paper an implementation of a 4-qubit Grover’s algorithm for the IBM Q computer ibmqx5 is presented. Executing the implementation on an ibmqx5 simulator yield results in line with the theoretically optimal results. The accuracy of the ibmqx5 simulation results compared to the ibmqx5 execution results suggests that current hardware is not yet suitable,due to required complexity of the circuits for a 4-qubit Grover implementation.
UAV-based laser scanning to meet special challenges in lidar surveying

After more than a year of experience with the first survey-grade laser scanner, the Riegl VUX-1UAV especially developed and designed for UAV integration we assess the potential of unmanned aircraft based laser scanning by means of several practical examples. Capable for very low level (VLL) flight, the new class of small UAVs offers as yet unknown possibilities and perspectives to close the gap between high-altitude airborne and ground-based laser scanning.
MrMep: Joint Extraction of Multiple Relations and Multiple Entity Pairs Based on Triplet Attention

This paper focuses on how to extract multiple relational facts from unstructured text. Neural encoder-decoder models have provided a viable new approach for jointly extracting relations and entity pairs. However, these models either fail to deal with entity overlapping among relational facts, or neglect to produce the whole entity pairs. In this work, we propose a novel architecture that augments the encoder and decoder in two elegant ways. First, we apply a binary CNN classifier for each relation, which identifies all possible relations maintained in the text, while retaining the target relation representation to aid entity pair recognition. Second, we perform a multi-head attention over the text and a triplet attention with the target relation interacting with every token of the text to precisely produce all possible entity pairs in a sequential manner. Experiments on three benchmark datasets show that our proposed method successfully addresses the multiple relations and multiple entity pairs even with complex overlapping and significantly outperforms the state-of-the-art methods.
Hypernym Relation Extraction for Establishing Subsumptions: Preliminary Results on Matching Foundational Ontologies

This paper presents an approach for matching foundational ontologies involving subsumption relations. The approach relies on extracting hypernym relations from ontology annotations for establishing such kind of correspondences. We report preliminary results on exploiting lexico-syntactic patterns and deﬁni-tions layout. Experiments were run on DOLCE and SUMO and the generated alignment was evaluated on a manually generated subsumption reference.
Interpreting Quantitative Data in Corpus Linguistics

Quantitative information has become increasingly important in Corpus Linguistics, and increasingly sophisticated as measures that are sensitive to how language works have become more readily available. Questions around the use of quantitative information are driven by the need in Corpus Linguistics to innovate methodologically and theoretically. In ‘phase 1’ studies, corpora from different geographical areas, or chronological times, or registers, are compared by quantifying the relative frequency of given grammatical or semantic categories. Such methods have underpinned substantial advances, for example the Longman Grammar of Spoken and Written English, work on Systemic-Functional Linguistics, and work comparing learner varieties of English, among many others. ‘Phase 2’ studies prioritise lexis over grammar and individual wordforms over categories of form or meaning. In these studies, frequency is often reduced to a concept of ‘typicality’ or ‘centrality’. Comparison between corpora is usually not the identifying feature of such work. Examples include Sinclair’s work on Units of Meaning, or Frances and Hunston’s work on grammar patterns. The key aspects of phase 2 studies are its exploratory, ‘bottom-up’ approach and the novelty of its insights. A challenge for Corpus Linguistics is to marry the rigour of quantitative measures with innovation in insight. One way of doing this is to allow numbers to drive the way that information in the corpus is organised. This is what I term ‘phase 3’ studies. These are illustrated by a study of adjectives in a corpus of comments about university teaching staff (see Millar and Hunston 2015), and by a study of lexis in a corpus compiled from an interdisciplinary academic journal (see Murakami et al in press). In both cases the initial corpus work treats the corpus as a ‘bag of words’, allowing co-occurrence calculations to organise the data before linguistic considerations are brought to bear. Phase 3 studies remain true to a data-driven approach to corpora. They achieve a sketch rather than an analysis of a corpus.
A Pilot Study of Oxaloacetate 100 mg Capsules in Parkinson’s Disease Patients

Mitochondrial dysfunction is observed in Parkinson’s disease (PD) and oxaloacetate (OAA), a bioenergetic pathway intermediate, was found in preclinical studies to have pro-mitochondrial effects. In this pilot study we randomized 18 PD participants to a capsule that included 100 mg OAA (in addition to 150 mg of ascorbic acid), and 15 PD participants to a capsule containing only 150 mg ascorbic acid, twice daily, for four months. Participants and study personnel were blinded to the group assignment. Thirteen participants in each group completed the study. Adverse events were recorded and clinical response was evaluated with the total Unified Parkinson’s Disease Rating Scale (UPDRS), Movement Disorder Society (MDS)-UPDRS motor and non-motor activities of daily living sections, PDQ-39 quality of life assessment, Non-Motor Symptoms Questionnaire, Montreal Cognitive Assessment, and Geriatric Depression Scale. No serious adverse events occurred and no significant differences between the groups or between the baseline and 4-month visit scores were observed for any categorical or continuous clinical assessment. In conclusion, although in this study OAA 100 mg twice daily for four months was safe in PD patients, at this dose its clinical effects were not different from placebo. Abbreviations: AD: Alzheimer’s disease; ADL: Activities of Daily Living; CBC: Complete Blood Count; CGI: Clinician Global Impression; GDS: Geriatric Depression Scale; LED: Levodopa Equivalent Dose; LFTs: Liver Function Tests; MDS: Movement Disorders Society; MoCA: Montreal Cognitive Assessment; NMSQuest: Non-Motor Symptoms Questionnaire; OAA: Oxaloacetate; PD: Parkinson’s Disease; PDQ-39; Parkinson’s Disease Questionnaire 39; PGI: Patient Global Impression; UPDRS: Unified Parkinson’s Disease Rating Scale
UD: a parsing comparison

New annotation approach in the form of Universal Dependencies aims to provide a consistent, language-independent grammatical annotation scheme for dependency treebanks. However, since UD are not related to any particular language or language group, there is an interest to investigate what impact Universal Dependencies might have on parsing quality in comparison to classic annotation schemes. This article presents results of a parsing study for Swedish, where two independent parsing systems were trained and evaluated on the novel UD Treebank as well as on the classic Talbanken non-UD treebank. The results show that Universal Dependencies do not bring any drawbacks to parsing quality, in fact delivering a slight increase of the scores in the evaluation.
Scalable non-blocking Krylov solvers for extreme-scale computing

This study investigates preconditioned conjugate gradient method variations designed to reduce communication costs by decreasing the number of allreduces and overlapping communication with computation using a non-blocking allreduce. Experiments show scalable PCG methods can outperform standard PCG at scale and demonstrate the robustness of these methods. To develop the most optimal Krylov methods we need a clear understanding of the factors limiting performance at scale. Detailed timings and network counters are used to more thoroughly measure the performance of these methods. Performance models with penalty terms are developed that provide reasonable explanations of observed performance and guide development of optimizations. The effectiveness of scalable PCG methods and these performance analysis tools is demonstrated using Quda and Nek5000, two HPC applications seeking improved performance at scale.
Inter-Procedural Diagnosis Path Generation for Automatic Confirmation of Program Suspected Faults

Static analysis plays an important role in the software testing field. However, the initial results of static analysis always have a large number of false positives, which need to be confirmed by manual or automatic tools. In this paper, a novel approach is proposed, which combines the demand-driven analysis and the inter-procedural dataflow analysis, and generates the inter-procedural diagnosis paths to help the testers confirm the suspected faults automatically. In our approach, first, the influencing nodes of suspected fault are calculated. Then, the CFG of each associated procedure is simplified according to the influencing nodes. Finally, the “section-whole” strategy is employed to generate the inter-procedural diagnosis path. In order to illustrate and verify our approach, an experimental study is performed on the five open source C language projects. The results show that compared with the traditional approach, our approach requires less time and can generate more inter-procedural diagnosis paths in the given suspected faults.
A Bayesian Approach to Robust Parameter Estimation of Physiologically Based Pharmacokinetics Model with Drug Dissolution Model

A Bayesian Approach to Robust Parameter Estimation of Physiologically Based Pharmacokinetics Model with Drug Dissolution Model Dae Shik Kim Chemical and Biological Engineering The Graduate School Seoul National University Physiologically based pharmacokinetics (PBPK) model can predict absorption, degradation, execration and metabolism in drug delivery system. Thus, it can be useful for regulating dose and estimating drug concentration at a particular time during the clinical demonstration. While PBPK model is generally expressed as a set of ordinary differential equations with a large number of parameters, in-vivo experimental data are often noisy and sparse. This makes it difficult to estimate parameters with conventional least squares approaches. Therefore, maximum a posteriori method from Bayesian approach that is the robust parameter estimation technique can be used to estimate parameters of PBPK model. However, the scheme of maximum a posteriori method by using Markov Chain Monte Carlo sampling is hard to use for parameter estimation of PBPK model because of the
ALIGNMENT AND GRAPHITE CRYSTAL PACKING FOR HIGH STRUCTURAL PERFORMANCE OF CNT NANOCOMPOSITES

Buckypaper is comprised of a random CNT network, and as the CNT network becomes more aligned, properties of the resultant composites are able to increase to levels desirable for structural composite applications. In this research the CNT network is aligned using a mechanical stretching technique with the assistance of resin systems to achieve 60-80% stretching strain. TEM, SEM, and Raman analyses are used to characterize the packing and alignment degree of the CNT networks. SEM images display the microstructure evolution in the CNT network as the stretch ratio or strain increases from 0% to 80%. As the CNT network is stretch from 0% to 60% strain, SEM images show an apparent increase in alignment, and as the network is further stretched to 80% it can be seen that the waviness of the aligned network decreases. TEM images suggest increased alignment and packing on the nanoscale level. As the stretch ratio increases along with the alignment degree, the nanotubes become more densely packed and a graphite crystal structure becomes apparent. Aside from visual verification of the alignment degree, the effect of mechanical stretching on alignment degree has been quantitatively proven to be effective through use of Raman spectroscopy. Raman spectroscopy measurements show that as the material is stretched and the network plastically deforms, the surface nanotubes become more highly aligned and show a polarized response in the direction of alignment. The resulting best fit curve can then be obtained to find Raman intensity versus orientation angle and consequently calculate the degree of alignment. Using the data acquired in this manner, it was found that at a 60% stretch ratio, 80% of the CNTs became aligned along the stretch direction. At an 80% stretch ratio, more than 90% of the CNTs became aligned along the stretch direction. High degree of alignment and crystal packing of CNTs are essential to achieve high mechanical performance.