Miracle-dz/UniFAR-FTUs huggingface dataset:
Association of Sjögren’s syndrome with myotonic dystrophy type 1

A 47-year-old woman presented with sicca symptoms, polyarthralgias, polymyalgias and dysphagia. She was found to have positive antinuclear, anti-SSA-Ro and anti-SSB-La antibodies. Slit lamp exam confirmed the presence of keratoconjunctivitis sicca, and the patient was diagnosed with Sjögren’s syndrome. Three years later, she was referred for evaluation of gait instability associated with recent falls. On physical examination, the patient was found to have bilateral ptosis, percussion myotonia, distal upper and lower extremity weakness, and a steppage gait. Electromyography demonstrated electrical myotonia. Genetic testing revealed expanded CTG repeats (733 and 533) in the myotonic dystrophy type 1 (DM1) protein kinase gene, confirming the diagnosis of DM1. Dysphagia, pain and eye discomfort may occur in both Sjögren’s syndrome and DM1, and in this case, may have delayed the diagnosis of muscular dystrophy.
Inflammatory bowel disease and superior mesenteric artery thromboembolism

While patients with inflammatory bowel disease are known to be at increased risk of venous thromboembolism, the risk of arterial thrombosis is less well recognized. Here, we describe the case of a middle-aged female with a recent diagnosis of Crohn’s disease who presented to her local emergency department with acute abdominal pain. Subsequent investigations revealed a thrombus in the superior mesenteric artery resulting in multi-organ infarction requiring major intra-abdominal surgery and extensive resection of segments of small and large bowel.
Apatinib for Patients With Sorafenib-Refractory Advanced Hepatitis B Virus Related Hepatocellular Carcinoma: Results of a Pilot Study

More than half of the patients with advanced hepatocellular carcinoma (HCC) do not respond to primary treatment with sorafenib. Currently, there are no universally accepted methods for further treatment. This pilot study was performed to assess the safety and effectiveness of apatinib as an optional treatment for patients with sorafenib-refractory HCC. Between January 2015 and May 2017, 43 consecutive patients with sorafenib-refractory advanced HCC who received apatinib were reviewed. The objective response rate (ORR) and disease control rate (DCR) were assessed using modified response evaluation criteria in solid tumors. The time to progression (TTP) and overall survival (OS) were determined using the Kaplan-Meier method. Toxicities associated with apatinib were assessed. All patients had hepatitis B virus (HBV) related HCC. The mean follow-up time was 11 months (range: 3-37) and the mean duration of apatinib was 7.6 months (range: 1-32). After treatment, 11 patients had partial response (PR), 18 had stable disease (SD), and 14 had progressive disease (PD); accordingly, the ORR and DCR were 25.6% and 67.4%, respectively. The median TTP and OS were 3 months (95% confidence interval [CI]: 1.9-4.1) and 8 months (95% CI: 6.9-9.0), respectively. The median OS times for PR, SD, and PD were 19 months (95% CI: 15.8-22.2), 8 months (95% CI: 7.3-8.7), and 4 months (95% CI: 3.1-4.9), respectively (P < .001). The median TTP for PR, SD, and PD was 14 months (95% CI: 11.9-16.1), 3 months (95% CI: 2.3-3.7) and 1 month, respectively (P < .001). No patients experienced toxicity-related death. The most common toxicities were weight loss, hand–foot skin reaction, and hypertension. Twelve adverse events of grade 3 or higher were observed. Based on our findings, apatinib is a promising treatment for patients with sorafenib-refractory advanced HBV-related HCC.
General Equilibrium Pricing of Currency and Currency Options ∗

This paper presents a consumption-based general equilibrium model for valuing foreign exchange contingent claims. The model identifies a novel economic mechanism by exploiting highly but imperfectly shared consumption disaster with variable intensities which are the concerns to the representative investor under recursive utility. When applied to the data, the model simultaneously replicates i) the moderate option-implied volatilities; ii) substantial variations in the risk-neutral skewness of currency returns; iii) the uncovered interest rate parity puzzle; and iv) the first two moments of carry trade returns. Furthermore, the model rationalizes salient features of the aggregate stock, government bonds, and equity index options. JEL code: F31, G01, G11
Identification of Propionibacterium spp. Isolated from Mihaliç Cheeses by MALDI-TOF MS

Turkiye’de uretilen onemli geleneksel peynirlerden biri olan Mihalic peyniri, karakteristik ozelliklerini Propiyonik asit bakterileri (PAB) sayesinde kazanmaktadir. Matris destekli lazer desorpsiyon / iyonizasyon ucus suresi kutle spektrometresi (MALDI-TOF MS), son yillarda bakteriyel izolatlari tanimlamak icin guvenilir ve hizli bir yontem olarak populer olmustur. Bu calismanin amaci Mihalic peynirinde bulunan propiyonik asit bakterilerini MALDI-TOF MS sistemi ile tanimlamaktir. Bu calismada toplam 25 adet geleneksel Mihalic peynir ornekleri incelenmis ve morfolojik ozelliklerine, gram boyamaya, katalaz aktivitesine ve pigment uretimlerine dayanarak 95 adet izolat elde edilmistir. Bu izolatlar MALDI-TOF MS ile tanimlanmis ve 21 tanesi PAB olarak belirlenmistir. Tanimlanan izolatlar; Propionibacterium freudenreichii ssp. freudenreichii (% 57), Propionibacterium freudenreichii ssp. shermanii (% 33) ve Propionibacterium thoenii (% 10) dir. Bu calisma, Mihalic peynirinde bulunan PAB cesitliliginin ilk kez MALDI-TOF-MS tarafindan hizli ve ekonomik olarak belirlenebilecegini gostermistir.
Epidemiological inference and surveillance with high resolution medical claims data: the case of influenza

Disease surveillance, the activity of monitoring disease burden and its associated risk factors, is critical for situational awareness, disease control, and public health coordination and planning. Due to the opportunistic recruitment of sentinel health care providers for routine, passive surveillance, it is challenging to make informed decisions about the best uses of available surveillance data and the design of future surveillance system data collection. Medical billing claims are an alternative potential surveillance source with features advantageous to public health monitoring, such as near real-time reporting, high population coverage, fine spatial resolution, and symptom diagnoses from health care providers. In this dissertation, I approach these challenges by answering the following questions: 1) Can medical claims compare to and expand upon the information gathered from traditional surveillance systems? 2) Can medical claims be leveraged to improve the design of surveillance system data collection? and 3) Can medical claims be used to understand biases among existing surveillance system data? I investigate these questions by examining a high resolution medical claims dataset for influenza-like illness in the United States and assessing the value of these data with statistical tools. First, I develop two indexes of population-level influenza intensity that enable a comparison of medical claims relative to traditional systems. While both indexes accurately capture end-of-season influenza disease burden, the claims-based index has
Towards Text Processing Pipelines to Identify Adverse Drug Events-related Tweets: University of Michigan @ SMM4H 2019 Task 1

We participated in Task 1 of the Social Media Mining for Health Applications (SMM4H) 2019 Shared Tasks on detecting mentions of adverse drug events (ADEs) in tweets. Our approach relied on a text processing pipeline for tweets, and training traditional machine learning and deep learning models. Our submitted runs performed above average for the task.
Effect of Simulation Instructional Package on Basic Science and Technology Students ’ Achievement and Retention in Federal Capital Territory , Abuja , Nigeria

This study investigated the effect of Simulation Instructional Package on achievement and retention of Basic Science and Technology students. Simple random sampling procedure was employed to select two intact classes from two public co-education schools in Federal Capital Territory, Abuja, Nigeria. Quasi experimental research design of non-randomized pretest, posttest, post-posttest time control group design was employed for the study. Two research questions guided the study and two research hypotheses were tested at 0.05 level of significance. Basic Science and Technology Achievement Test (BSTAT) was used as instrument for data collection. The reliability of BSTAT was determined using K-R20 formula and the reliability coefficient obtained was 0.87. Mean and Standard Deviation were used to answer the research questions while the hypotheses were tested using Analysis of Covariance (ANCOVA). Multiple Classification Analysis (MCA) was used to determine the magnitude of the differences. The findings of this study revealed that significant differences were found in the achievement and retention of students taught using Simulation Instructional Package compared to that of the Conventional Demonstration Method.
ding the Fifth Wave : Organizational Justice as Dependent riable

This chapter calls attention to a paradigmatic shift in the organizational justice literature, in which fairness serves as the dependent rather than independent variable. Drawing on two taxonomic dimensions, we structure approaches to studying fairness as a consequence rather than as a cause. One dimension refers to the focal party whose reactions are being examined (the actor, the recipient, and the observer) whereas the other consists of the nature of the reaction itself (behavior, desire, and perception). We sample selectively from the nine cells emanating from the 3 3 classification scheme, emphasizing conceptual and empirical works that advance our understanding of fairness or connect fairness with other literatures in organizational and social psychology, such as ethics, social hierarchy, trust, self-handicapping, and construal level theory. Thus, we illustrate how the study of fairness as a dependent variable enriches not only theory and research in organizational justice, but also how it may contribute to other literatures. Additionally, we consider some of the practical implications and future research possibilities related to studying fairness as a dependent variable. 2015 Elsevier Ltd. All rights reserved. Corresponding author. E-mail address: jb54@gsb.columbia. edu (J. Brockner).
BRIDGE: Byzantine-resilient Decentralized Gradient Descent

Decentralized optimization techniques are increasingly being used to learn machine learning models from data distributed over multiple locations without gathering the data at any one location. Unfortunately, methods that are designed for faultless networks typically fail in the presence of node failures. In particular, Byzantine failures---corresponding to the scenario in which faulty/compromised nodes are allowed to arbitrarily deviate from an agreed-upon protocol---are the hardest to safeguard against in decentralized settings. This paper introduces a Byzantine-resilient decentralized gradient descent (BRIDGE) method for decentralized learning that, when compared to existing works, is more efficient and scalable in higher-dimensional settings and that is deployable in networks having topologies that go beyond the star topology. The main contributions of this work include theoretical analysis of BRIDGE for strongly convex learning objectives and numerical experiments demonstrating the efficacy of BRIDGE for both convex and nonconvex learning tasks.
Dual energy CT of hepatocellular carcinoma : Can blending of 80 and 140 kV datasets improve image quality ?

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Determinants of Productivity Gap in the European Union: A Multilevel Perspective

The paper explores the determinants of productivity gap within the European Union in four industrial manufacturing sectors (computers, chemicals, basic metals and food) of strong macroeconomic significance and varied 'Research and Development' (R&D) intensity. Our analysis reveals that some of the most important factors determining productivity gap across the EU are related to technology gap variables - R&D intensity and R&D embedded in purchased equipment and machinery - and how they interact. While the signs for both R&D and embedded R&D are as expected and our results emphasise the relevance of technology for closing the productivity gap, this is not the case with the interaction between these two variables. The estimates for the interaction terms are indeed very significant and consistently negative in three out of four sectors. This negative relationship suggests that there is no complementarity between these two modes of technology acquisition - R&D and embedded R&D investments - which are however each separately crucial for catching up. In policy terms, this situation suggests that there is a lack of coordination between R&D policy and technology transfer (FDI, trade and industrial policy). Given that, our results also show a widening productivity gap between the countries of the EU periphery (South and East) and the rest of the sample.
Interactive comment on “ Time-series analysis of the long-term hydrologic impacts of afforestation in the Águeda watershed of North-Central Portugal ” by D

Thank you for your general comments about the papers, and in particular for the detailed review of the paper in your supplementary material. We agree with nearly all of the edits suggested there, and have updated the paper to reflect this. A modified version of the manuscript which reflects these changes, as well of those of the 2nd review, is included in the supplement file. A version which reflects the 3rd and 4th review is forthcoming.
Understanding ME? Multimodal Evaluation for Fine-grained Visual Commonsense

Visual commonsense understanding requires Vision Language (VL) models to not only understand image and text but also cross-reference in-between to fully integrate and achieve comprehension of the visual scene described. Recently, various approaches have been developed and have achieved high performance on visual commonsense benchmarks. However, it is unclear whether the models really understand the visual scene and underlying commonsense knowledge due to limited evaluation data resources. To provide an in-depth analysis, we present a Multimodal Evaluation (ME) pipeline to automatically generate question-answer pairs to test models’ understanding of the visual scene, text, and related knowledge. We then take a step further to show that training with the ME data boosts the model’s performance in standard VCR evaluation. Lastly, our in-depth analysis and comparison reveal interesting findings: (1) semantically low-level information can assist the learning of high-level information but not the opposite; (2) visual information is generally under utilization compared with text.
Recent Progress on the Water–Energy–Food Nexus using Bibliometric Analysis

CURRENT SCIENCE, VOL. 117, NO. 4, 25 AUGUST 2019 577 Dan Chen, Peng Zhang, Di Zhang, Bo Bi and Xinchun Cao are in the College of Agricultural Engineering, Hohai University, Nanjing 210098, China; Zhaohui Luo is in the College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China; Dan Chen and Zhaohui Luo are also in the Department of Agricultural and Biological Engineering, University of Florida, Gainesville 32611, USA. *For correspondence. (e-mail: lzhui@njau.edu.cn) Recent progress on the water–energy–food nexus using bibliometric analysis
Coin Market Behavior using Social Sentiment Markov Chains

2017 was the pivotal year for the cryptocurrency made its foray into the mainstream financial markets. However, in 2018 it was a panic itself. For the market, it is imperative to ruminate reasonable analysis and expectations compiling various situations. We examine the dynamic interactions between the coin market behavior and market events and social metrics to incorporate potential coin traders’ social belief and response into the market moves. We use hidden Markov model performing four different experiments in two-coin markets. We show that market events such as closing price and trading volume are important predictors for the coin market behavior, but not equally in all experiments. Interestingly, hidden Markov process demonstrates that social media metrics fairly explain the future behavior of the coin markets. Overall, this study shows the combined impact of market events and social factors through varied sequences adjusted for each market situation on the coin market behavior.
Purification and characterization of alkaline protease from marine Streptomyces albidoflavus

A local marine streptomycete isolate, identified as Streptomyces albidoflavus using 16SrRNA technique, was found to produce alkaline protease when grown on a medium containing casein, peptone and yeast extract. The enzyme was purified by ammonium sulphate precipitation (80%w/v) followed by size exclusion chromatography through Sephadex G100 column. Purified enzyme exhibited a molecular weight of about 20kDa as estimated by SDS/PAGE. This enzyme retained its optimum activity after 15 min. incubation at 50C in buffered casein substrate (pH 9). The enzyme showed stability over a pH range from 8 to 11 and thermally stable up to 45C for 120min. The enzyme was found to be a serine type as it had been affected by lower concentrations of PMSF (phenyl methyl sulfonyl fluoride). The obtained purified enzyme from S. albidoflavus had a Km value of 0.5% casein and an apparent Vmax of 250 g/min tyrosine equivalent.
Playing and Solving Havannah

Havannah is a recent game that is interesting from an AI research perspective. Some of its properties, including virtual connections, frames, dead cells, draws and races to win, are explained. Monte Carlo Tree Search (MCTS) is well suited to play Havannah, but many improvements are possible. Several forms of heuristic knowledge in the tree show playing strength gains, and a change to the rules in the rollout policy significantly improves play on larger board sizes. Together, a greater than 80% winning rate, or 300 elo gain, is achieved on all board sizes over an already fairly strong player. This MCTS player is augmented with a few engineering improvements, such as threading, memory management and early draw detection, and then used to solve all 6 openings of size 4 Havannah, a game with a state space on the order of 6× 10 states. Castro, the implementation and test bed, is released open source.
Precision Farming Adoption Trends in the Southern U.S.

Studies investigating temporal and geographic adoption of precision farming technologies (PFT) are valuable for researchers, consultants, and farmers to make more informed production decisions. Focusing on southern U.S. cotton producers, the objective of this study was to assess the timing trends and geographic patterns of PFT adoption. Data were obtained from a mail survey of cotton producers in 14 southern states in 2013. The overall PFT adoption level was 73.5%. Specifically, the adoption level was 40.9% for information gathering (IG), 67% for global positioning system-guidance (GPSG), 25.3% for variable rate application (VRA), and 29.3% for automatic section control technologies (ASC). The cumulative adoption level across years generally fit the logistic function curve for the various PFT evaluated in this study. The peak annual adoption growth was 4.0% in 2008 for IG, 6.8% in 2010 for GPSG, 4.4% in 2010 for VRA, and 7.2% in 2010 for ASC. Geographically, cotton farmers in the Corn Belt region had the highest PF adoption level (91.7%), followed by the Mississippi Delta region (80.7%) and the Northern and Southern Plains region (75.4%). The lowest PF adoption level was in the Southeast region (65.2%). Of the four PFT categories, GPSG was the most widely adopted. The geographic technology adoption patterns are valuable for farm input dealers to target potential buyers of PFT. This study provides researchers with valuable PFT adoption trends among southern cotton farmers and helps producers make more informed adoption decisions.
Brief communication : Impact of mesh resolution for MISMIP and MISMIP 3 d experiments using Elmer / Ice

The dynamical contribution of marine ice sheets to sea level rise is largely controlled by grounding line (GL) dynamics. Two marine ice sheet model intercomparison exercices, namely MISMIP and MISMIP3d, have been proposed to the community to test and compare the ability of models to capture the GL dynamics. Both exercices are known to present a discontinuity of the friction at the GL, which is believed to increase the model sensitivity to mesh resolution. Here, using 5 Elmer/Ice, the only Stokes model which completed both intercomparisons, the sensitivity to the mesh resolution is studied from an extended MISMIP experiment in which the friction is continuously decreasing over a transition distance and equals to zero at the GL. Using this MISMIP-like setup, it is shown that the sensitivity to the mesh resolution is not improved for a vanishing friction at the GL. For the original MISMIP experiment, i.e. for a discontinuous friction at the GL, we further show that 10 the results are moreover very sensitive to the way the friction is interpolated in the close vicinity of the GL. On the light of these new insights, and thanks to increased computing resources, new results for the MISMIP3d experiments obtained for higher resolutions than previously published are made available for future comparisons as Supplement.