Miracle-dz/UniFAR-FTUs huggingface dataset:
Identi�cation of risk factors for in-hospital death of COVID - 19 pneumonia -- lessions from the early outbreak

Background: To examine the clinical characteristics and identify independent risk factors for in-hospital mortality of 2019 novel coronavirus (COVID-19) pneumonia. Methods: A total of 156 patients diagnosed with COVID-19 pneumonia at the Central Hospital of Wuhan from January 29, 2020, to March 20, 2020, and 20 healthy individuals were enrolled in this single-centered retrospective study. The epidemiological parameters, clinical presentations, underlying diseases, laboratory test results, and disease outcomes were collected and analyzed. Results: The median age of all enrolled patients was 66 years. At least one underlying disease was identi�ed in 101 COVID-19 patients, with hypertension being the most common one, followed by cardiovascular disease and diabetes. The most common symptoms identi�ed upon admission were fever, cough, dyspnea, and fatigue. Compared to survival cases, patients who died during hospitalization had higher plasma levels of D-dimer, creatinine, creatine kinase, lactate dehydrogenase, lactate, and lower percentage of lymphocytes (LYM [%]), platelet count and albumin levels. Most enrolled patients received antibiotics and anti-viral treatment. In addition, 60 patients received corticosteroids, and 51 received intravenous immunoglobulin infusion. 44 patients received noninvasive ventilation and 19 received invasive ventilation. Respiratory failure was the most frequently observed complication (106 [67.9%]), followed by sepsis (103 [66.0%]), acute respiratory distress syndrome (ARDS) (67 [42.9%]), and septic shock (50 [32.1%]). Multivariable regression suggested that advanced age (OR [odds ratio]=1.098, 95% CI [con�dence interval]: 1.006-1.199, P=0.037), shorter duration from onset to admission (OR= 0.853, 95% CI: 0.750-0.969, P=0.015) and elevated lactate level upon admission (OR= 2.689, 95% CI: 1.044-6.926, P=0.040) were independent risk factors for in-hospital mortality for COVID-19 infection
El Niño influence on potential maize yield in Iberian Peninsula

El Niño phenomenon is the leading mode of sea surface temperature interannual variability. It can affect weather patterns worldwide and therefore crop production. Crop models are useful tools for impact and predictability applications, allowing to obtain long time series of potential and attainable crop yield, unlike to available time series of observed crop yield for many countries. Using this tool, crop yield variability in a location of Iberia Peninsula (IP) has been previously studied, finding predictability from Pacific El Niño conditions. Nevertheless, the work has not been done for an extended area. The present work carries out an analysis of maize yield variability in IP for the whole 20th century, using a calibrated crop model at five contrasting Spanish locations and reanalyses climate datasets to obtain long time series of potential yield. The study tests the use of reanalysis data for obtaining only climate‐dependent time series of crop yield for the whole region, and to use these yield to analyse the influences of oceanic and atmospheric patterns. The results show a good reliability of reanalysis data. The spatial distribution of the leading principal component of yield variability shows a similar behaviour over all the studied locations in the IP. The strong linear correlation between El Niño index and yield is remarkable, being this relation non‐stationary on time, although the air temperature–yield relationship remains on time, being the highest influences during grain filling period. Regarding atmospheric patterns, the summer Scandinavian pattern has significant influence on yield in IP. The potential usefulness of this study is to apply the relationships found to improving crop forecasting in IP.
The Importance of Leadership, Organizational Culture, and Work Environment against the Employee Performance of BPJS Kesehatan in Karawang Branch Office Business

This research aims to explore and reveals the effect cause by leadership, organizational culture, and work environment towards the performance of BPJS Kesehatan’s employees at Karawang Branch Office. Descriptive and verification method has been used in this study through quantitative approach. The research population of this study amounted to 126 people, while the sample used was 100 respondents who were exactly the employees of BPJS kesehatan at Karawang Branch Office which selected by simple random sampling technique. Data research was gathered through questionnaire which then analyzed using scale range analysis and path analysis. The results of this research indicates that 1) There is influence occurred between leadership and organizational culture that categorize as low level of correlation with positive value 2) There is correlation between organizational culture and work environment which categorize as low level of correlation and positive value 3) There is correlation between leadership and work environment which categorize as low level of correlation with positive direction 4) leadership, work culture, and work environment are capable to improve the performance of BPJS Kesehatan employees at Karawang Branch Office both partially or simultaneously.
Inequality and Labour-Market Performance: A Survey Beyond an Elusive Trade-Off

In this paper we assess the evolution of employment and wage inequality in Europe and the US labour markets over the past two decades. We find that the salient trends in wage structures are more complicated than implied by the so-called “unified theory. ” Furthermore there is no clear cross-country correlation between changes in wage and employment rates by skill categories. This brings us to consider in detail other factors mentioned in the literature as contributing to poor labour-market performance in Europe. We find that strong unions, a factor often believed to bring about wage compression and poor labour-market performance, are not necessarily associated with the latter when bargaining is sufficiently coordinated. We also find that successful welfare reforms can bring about considerable improvements in performance without much impact on inequality. Finally we point out that the role of industrial structure and of the housing sector cannot be neglected when explaining cross-country labour-market performance.
A Two Dimensional Brain-Computer Interface Associated with Human Natural Motor Control

1.1 Target groups of brain-computer interfaces (BCIs) Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that affects nerve cells which are responsible for controlling voluntary movement. Primary lateral sclerosis (PLS) is a variant of ALS that affects the corticospinal upper motor neurons, limiting movement. ALS/PLS patients, as well as patients disabled from other degenerative diseases or brain injuries, have difficulty with everyday motor behaviors such as moving, swallowing, and speaking. In the later stages of disease, some patients may completely lose motor function and become totally ‘locked-in’ (Hayashi and Oppenheimer, 2003). Loss of motor function significantly affects patients’ quality of life (QoL) (Mockford et al., 2006; Bromberg, 2008; Williams et al., 2008; Lule et al., 2009) and increases the financial burden for the cost of care (Mutsaarts et al., 2004). One important component of quality of life being addressed repeatedly by patients, specifically as the disease progresses, is the ability to communicate. A brain– computer interface (BCI) or brain–machine interface (BMI), has been proposed as an alternative communication pathway, bypassing the normal cortical-muscular pathway (Joseph, 1985; Kennedy et al., 2000). BCI is a system that provides a neural interface to substitute for the loss of normal neuromuscular outputs by enabling individuals to interact with their environment through brain signals rather than muscles (Wolpaw et al., 2002; Daly and Wolpaw, 2008). Recent years have featured a rapid growth of BCI research and development owing to increased societal interest and appreciation of the serious needs and impressive potential of patients with severe motor disabilities (Birbaumer and Cohen, 2007; Daly and Wolpaw, 2008). The majority of BCI-related publications have studied performance in healthy volunteers and focused on the development of signal processing/computational algorithms to improve BCI performance (Bashashati et al., 2007). Practical BCI clinical applications for the potential patient users, however, are still limited (Birbaumer, 2006a).
Late Dolomitization in Basinal Limestones of the Southern Apennines Fold and Thrust Belt (Italy).

Résumé — Dolomitisation tardo-diagénétique dans les calcaires de bassins triassiques de l’Apennin Méridional (Italie) — Les carbonates pélagiques triassiques de l’Unité de Lagonegro, dans l’Apennin méridional hébergent des corps dolomitiques discordants. Ces dolomies montrent les structures typiques connues comme “zébra” ou dolomite “à selle”. Dans cette note, on présente les résultats d’observations de terrains et pétrographiques et les données géochimiques obtenues sur trois affleurements. Les données de terrain indiquent que les structures de type “zébra” et bréchifiées sont contrôlées par la stratification très régulière des calcaires micritiques. La dolomitisation a comporté le remplacement du calcaire et de la précipitation de dolomite cristalline dans les vides sous un champ de contraintes extensionnelles. Les températures d’homogénéisation sont comprises entre 80 et 120 °C, avec un mode à (95 ± 10) °C. Après une
Patient adherence and persistence with topical ocular hypotensive therapy in real-world practice: a comparison of bimatoprost 0.01% and travoprost Z 0.004% ophthalmic solutions

Background: Effective control of intraocular pressure is predicated upon patient compliance with pharmacotherapy. We compared patient adherence and persistence with two new ocular hypotensive formulations, using real-world utilization data. Methods: This observational cohort study employed pharmacy claims data from the Source ® Lx (Wolters Kluwer Pharma Solutions) database. Patients with an initial (index) prescription for topical bimatoprost 0.01% or travoprost Z (April to June 2011) and no claim for ophthalmic prostaglandin or prostamide analogs within the previous 18 months were identified. Treatment adherence was expressed as proportion of days covered with study medication during the first 365 days after the index prescription. Treatment persistence with study medication was assessed over the first 12 months using Kaplan–Meier survival analyses, allowing a maximum 30-day gap for prescription refill. Treatment status was determined monthly over this period. Results: A total of 12,985 patients were assessed for treatment adherence, and 10,470 for treatment persistence. Adherence was better with bimatoprost 0.01% than with travoprost Z (mean proportion of days covered 0.540 versus [vs] 0.486, P , 0.001), and more patients showed high adherence (proportion of days covered . 0.80) with bimatoprost 0.01% than travoprost Z (29.1% vs 22.3%, P , 0.001). Continuous 12-month persistence was higher with bimatoprost 0.01% than with travoprost Z (29.5% vs 24.2%, P , 0.001). At month 12, more patients were on treatment with bimatoprost 0.01% than travoprost Z (48.8% vs 45.7%, P , 0.01). Similar findings were demonstrated in cohorts of ocular hypotensive treatment-naïve patients, branded latanoprost switchers, and older patients (age $ 65 years), and after inclusion of patient characteristics as covariates. Conclusion: For patients with glaucoma or ocular hypertension, bimatoprost 0.01% offers compliance advantages over travoprost Z.
Spatio-Temporal Convolution-Attention Video Network

In this paper, we present a hierarchical neural network based on convolutional and attention modeling for short and long-range video reasoning, called Spatio-Temporal Convolution-Attention Video Network (STCA). The proposed method is capable of learning appearance and temporal cues in two stages with different temporal depths to maximize engagement of the short-range and long-range video sequences. It has the benefits of convolutional and attention networks in exploiting spatial and temporal cues for a new spatio-temporal sequence modeling. Our method is a novel mixer architecture to obtain robust properties of convolution (such as translational equivariance) while having the generalization and sequential modeling ability of transformers to deal with dynamic variations in videos. The proposed video deep neural network aims to exploit spatio-temporal information in two stages: 1. ) Short Clip Stage (SCS) and 2. ) Long Video Stage (LVS). SCS handles spatio-temporal cues dealing with short-range video clips and operates on video frames with 3D convolutions and multi-headed self-attention modeling. Since SCS operates on video frames, this reduces the quadratic complexity of the self-attention operation. In LVS, we mitigate the issue of modeling long-range temporal self-attention. LVS models long-range temporal reasoning using representation (i.e., tokens) obtained from SCS. LVS consists of variants of long-range temporal modeling mechanisms for learning compact and robust global temporal representations of the entire video. We conduct experiments on six challenging video recognition datasets: HVU, Kinetics (400, 600, 700), Something-Something V2, and Long Video Understanding dataset. Through extensive evaluations and ablation studies, we show outstanding performances in comparison to state-of-the-art methods on the mentioned datasets.
Susceptibility-Weighted MR Sequences Detection of Intracranial Hemorrhage with

BACKGROUND AND PURPOSE: Detection of hemorrhage is important in the diagnosis and management of a variety of intracranial diseases. We evaluated the sensitivity of the following sequences for depicting chronic hemorrhagic foci associated with susceptibility dephasing: gra-dient-recalled echo (GRE) imaging, GRE-type single-shot echo-planar imaging (GRE-EPI), spin-echo–type single-shot echo-planar imaging (SE-EPI), turbo spin-echo (TSE) imaging, half-Fourier single-shot turbo spin-echo (HASTE) imaging, and segmented HASTE (s-HASTE) imaging. To our knowledge, no previous comparison has been made with these techniques in the same patient. METHODS: Fifty patients with suspected chronic hemorrhage were examined prospectively with the above six sequences. Contrast-to-noise ratio (CNR), sensitivity to detection of lesions, conspicuity of internal architecture, and sensitivity to small hemorrhagic foci were evaluated. RESULTS: Hemorrhagic foci were found in 35 patients. The CNR of the GRE, GRE-EPI, SE-EPI, TSE, s-HASTE, and HASTE sequences was 30.9, 23.7, 3.6, 6.1, (cid:50) 29.3, and (cid:50) 13.1, respectively; the number of small hemorrhagic foci detected was 85, 96, 44, 22, two, and one, respectively, for the supratentorial white matter; 70, 40, 19, four, zero, and zero, respectively, for the supratentorial cortical/subcortical region; and 73, 50, 26, 37, zero, and zero, respectively, for the infratentorial/skull-base
Defining Holdridge's life zones over Turkey

This study is proposing a classification for the Holdridge's life zones associated with the surface climatic variables over Turkey. Holdridge's scheme is aiming to group meteorological and climatic quantities at the regional scale according to some pre‐defined rules. On the other hand, without rules or pre‐defined restrictions, the process of combination of similar stations in groups is recognized as clustering. A spectral clustering method was suggested for identifying the characteristics of the local climate over the country. To increase the proxy value of the estimated life zones, the missing values in the data sets of temperature and precipitation series were filled by fitting appropriate theoretical variogram. A programme coded in Fortran 95 was developed for determining the life zones. The probabilistic features of the life zones were estimated by using empirical cumulative frequencies. In addition, a new spectral clustering method based on Sampson correlation ratio was developed for clustering high‐dimensional data. From these results, four major categorical life zones were obtained, namely montane, lower montane, cool temperate and warm temperate. Additionally, 14 types of the Holdridge's vegetation classes were estimated, the frequent zones are cool temperate steppe and warm temperate dry forest; some moist forests are seen particularly in the eastern Black Sea region, the rainiest region of the country. The suggested spectral clustering method is capable of capturing the principal life zones. The tendency of life zones shifting towards the climate conditions of lower latitudes indicates that the long‐term meteorological normals changed; this is exactly the point of climate change. A better understanding of life zones of Holdridge hopefully can contribute to sustainability plans of the policy makers.
Identification and and Characterization of Cardiac Troponin T Fragments in Serum of Patients Suffering from Acute Myocardial Infarction

BACKGROUND : Cardiac troponin T (cTnT) is the preferred biomarker for the diagnosis of acute myocardial infarction (AMI). It has been suggested that cTnT is present predominantly in fragmented forms in human serum following AMI. In this study, we have used a targeted mass spectrometry assay and epitope mapping us-ing Western blotting to confirm this hypothesis. METHODS : cTnT was captured from the serum of 12 patients diagnosed with AMI using an immunoprecipitation technique employing the M11.7 catcher antibody and fractionated with SDS-PAGE. Coomassie-stained bands of 4 patients at 37, 29, and 16 kDa were excised from the gel, digested with trypsin, and analyzed on a Q Exactive instrument set on targeted Selected Ion Monitoring mode with data-dependent tandem mass spectrometry (MS/MS) for identification. Western blotting employing 3 different antibodies was used for epitope mapping. RESULTS : Ten cTnT peptides
American Journal of Surgery and Clinical Case Reports

cancers were included in the study. All biopsy proven colorectal carcinoma patients were enrolled in the study. Percentages were calculated for qualitative data like gender, age group, mode of admission, symptoms, location/ site and stage of colorectal tumor, type of surgery performed and postoperative complications. Mean and standard deviation were determined for age. Student t-test and Chi square test were used to determine significance where appropriate.
Using Implementation Science to Guide the Integration of Evidence-Based Family Interventions into Primary Care

This article is a demonstration of how an implementation-science (IS) framework can be coupled with the measurement of implementation outcomes to effectively integrate evidence-based family interventions in primary care. The primary care environment presents a number of challenges for successfully integrating such interventions. However, IS methods can improve the prospect of successfully implementing a new intervention while simultaneously and rigorously evaluating the impact on salient outcomes. We used our experiences across 2 pilot trials in which the family check-up (Smith, Montaño, Mauricio, Berkel, & Dishion, 2016), an evidence-based family intervention, was integrated into primary care. In these pilot trials, the exploration, preparation, implementation, and sustainment (EPIS) framework and the Proctor et al. taxonomy of implementation outcomes were used to guide the implementation and evaluate its success. Grounding our presentation in our pilot work offers an illustration of applying the EPIS framework and outcomes measurement to real-world problems and contexts. When embarking on new efforts to integrate behavioral interventions into health-care settings, the application of IS frameworks and measurement strategies can create generalizable knowledge that substantively contributes to a sparse literature. Today, those “in the trenches” who are translating evidence-based interventions to their setting can contribute to the corpus of research in integrated care by using IS methods to plan a new program and evaluate its feasibility, adoption, and reach.
Changing effects of external forcing on Atlantic-Pacific interactions

Recent studies have highlighted the increasingly dominant role of external forcing in driving Atlantic and Pacific Ocean variability during the second half of the 20th century. This paper provides insights into the underlying mechanisms driving interactions between modes of variability over the two basins. We define a set of possible drivers of these interactions and apply causal discovery to reanalysis data, an ensemble of pacemaker simulations where the observed El Niño Southern Oscillation (ENSO) is prescribed, and a pre-industrial control simulation. We also utilize large ensemble means of historical 5 simulations from the Coupled Model Intercomparison Project Phase 6 (CMIP6) to quantify the effect of external forcing and improve the understanding of its impact. By conducting a causal analysis of the historical time series, a regime switch is identified in the interactions between major modes of Atlantic and Pacific climate variability. Causal networks derived from pacemaker simulations support this finding and further demonstrate that the effect of external forcing could favor an Atlantic-driven regime between 1985 and 2014 where warming tropical North Atlantic sea surface temperatures induce a La Niña-like 10 cooling in the equatorial Pacific during the following season through a strengthening of the Pacific Walker Circulation. This negative sign effect was not detected when the historical external forcing signal is removed in the pacemaker ensemble. The analysis of the pre-industrial control run further supports the notion that the Atlantic and Pacific modes of natural climate variability exert contrasting impacts on each other even in the absence of external forcing. We show that causal discovery can quantify previously unknown connections and thus provides important potential to contribute to a deeper understanding of the 15 mechanisms driving changes in regional and global climate variability
High-intensity functional training modulates oxidative stress and improves physical performance in adolescent male soccer players: A randomized controlled trial

Regular exercise training can decrease oxidative stress (OS) and up-regulate antioxidant functions in adult population. However, limited data exists considering OS responses in the pediatric population. The aim of this study was to investigate the effect of high-intensity functional training (HIFT) on the OS and performance in adolescent soccer players. In this randomized controlled trial, 20 adolescent soccer players (male, well-trained) were randomly divided into high intensity functional training (HIFT, n=10) and moderate intensity soccer technical training (MITT, n=10) groups. HIFT and MITT was performed for 8 weeks (3 days/week). Baseline OS biomarkers (MDA, 8-OHDG, H 2 O 2 , GPx and CAT) and physical performance (VO 2peak , vertical jump height (VJH) and maximal explosive power (MEP)) were assessed before and after the intervention. Repeated measure mixed ANOVA (2×2) with a signi�cance level of P<0.05 was used to determine differences between and within subjects. The main effect of interaction was signi�cant for VO 2peak , VJH and MEP (P<0.05). The main effect of interaction was not signi�cant for CAT, 8-OHDG, GPx, H 2 O 2 and MDA (P>0.05). Following intervention, VO 2peak and VJH performance in the HIFT were signi�cantly higher than MITT (P<0.05). MDA and H 2 O 2 in the HIFT decreased signi�cantly (P<0.05), but no signi�cant changes were observed in the MITT (P>0.05). CAT activity decreased signi�cantly (P<0.05), while GPx activity increased signi�cantly (P<0.05) in both groups. 8-OHDG did not show signi�cant changes in both groups (P>0.05). 8 weeks of HIFT did not cause greater OS compared to MITT, while could improve physical performance parameters.