Miracle-dz/UniFAR-FTUs huggingface dataset:
You go before me, please: Behavioral politeness and interdependent self as markers of simpatía in Latinas.

OBJECTIVES Previous research has documented that Latinos/as value the cultural script Simpatía, a tendency to be kind, polite, and focus on others. No previous study has been able to capture the behavioral markers of Simpatía in a naturalistic environment. METHOD Behavioral cross-sectional audio data were collected on the daily interactions between Latina and White European mothers with their partners and other adults using a digital audio recorder across 4 days. A mixed-methods approach was used to analyze the data. RESULTS Latinas exhibited increased behavioral Simpatía when talking to other adults compared to White European counterparts. Additionally, Latina mothers chose as a main character of their conversations other people rather than themselves. Conversely, White European mothers chose themselves as a main character of their conversations instead of other people. CONCLUSIONS These results show that core features of Simpatía (kindness and focus on others) can be found at the behavioral level in the environment that Latina mothers face on a daily basis. Implications for the cultural self and future research are discussed. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
State-of-the-art behavioral and pharmacological treatments for alcohol use disorder

ABSTRACT Background: Alcohol use disorder (AUD) and its associated consequences remain significant public health concerns. Given that AUD represents a spectrum of severity, treatment options represent a continuum of care, ranging from single-session brief interventions to more intensive, prolonged, and specialized treatment modalities. Objective: This qualitative literature review seeks to describe the best practices for AUD by placing a particular emphasis on identifying those practices which have received the most empirical support. Method: This review summarizes psychological and pharmacological intervention options for AUD treatment, with a focus on the relapse prevention phase of recovery. Psychological and pharmacological treatments are summarized in terms of the empirical evidence favoring each approach and the level of AUD severity for which they are most indicated. Scientific significance: One of the broad assertions from this review is that while AUD is highly prevalent, seeking treatment for AUD is not. There are a myriad of behavioral and pharmacological treatments that have shown compelling evidence of efficacy for the treatment of AUD. In the behavioral treatment literature, cognitive behavioral therapy has received the most consistent support. Opioid antagonism (via naltrexone) has been the most widely studied pharmacotherapy and has produced moderate effect sizes. While none of the treatments reviewed herein represents a so-called silver bullet for AUD, they each have the potential to significantly improve the odds of recovery. Precision medicine, or the identification of best treatment matches for individual patients, looms as an important overarching goal for the field, although specific matches are not yet sufficiently reliable in their empirical evidence to warrant clinical dissemination.
Right Heart Thrombi: Patient Outcomes by Treatment Modality and Predictors of Mortality: A Pooled Analysis

Rationale: Right heart thrombi (RiHT) is characterized by the presence of thrombus within the right atrium or right ventricle (RV). Current literature suggests pulmonary embolism (PE) with RiHT carries a high mortality. Guidelines lack recommendations in managing RiHT. We created a pooled analysis on RiHT and report on our institutional experience in managing RiHT. We aimed to evaluate whether patient characteristics and differing treatment modalities predict mortality. Methods: We created a pooled analysis of case reports and series of patients with RiHT and PE between January 1956 and 2017. We also reviewed a series of consecutive patients with RiHT identified from our institutional PE registry. Age, shock, RV dysfunction, clot mobility, treatment modality, and hospital outcome had to be reported. Results: We identified 316 patients in our pooled analysis. Patients received the following therapies: no treatment 15 (5%), systemic anticoagulation 73 (23%), systemic thrombolysis 108 (34%), surgical embolectomy 101 (32%), catheter-directed therapy 11 (3%), and systemic thrombolysis with surgery 8 (3%). In-hospital mortality was 18.7%. Univariate analysis showed age and shock reduced odds of survival. Multivariate analysis showed shock reduced odds of survival (odds ratios [OR] 0.36, 95% confidence interval [CI]: 0.19-0.72, P ≤ .01) while age, RV dysfunction, and clot-mobility did not affect mortality. In a reduced multivariate analysis adjusting for shock, treatment modality, and clot location alone, systemic thrombolysis increased odds of survival when compared to systemic anticoagulation (OR 2.72, 95% CI: 1.11-6.64, P = .02). Our institutional series identified 18 patients, where in-hospital mortality was 22.2%, 18 (100%) had RV dysfunction, and 5 (28%) had shock. Patients received the following therapies: systemic anticoagulation 8 (44.4%), systemic thrombolysis 4 (22.2%), surgical embolectomy 4 (22.2%), and catheter-directed thrombolysis 2 (11.1%). Conclusion: Presence of shock in RiHT is an independent predictor of mortality. Systemic thrombolysis may offer increased odds of survival when compared to systemic anticoagulation. Our findings should be interpreted with caution as they derive from retrospective reports and subject to publication bias.
A survey of automatic de-identification of longitudinal clinical narratives

Use of medical data, also known as electronic health records, in research helps develop and advance medical science. However, protecting patient confidentiality and identity while using medical data for analysis is crucial. Medical data can be in the form of tabular structures (i.e. tables), free-form narratives, and images. This study focuses on medical data in the free form longitudinal text. De-identification of electronic health records provides the opportunity to use such data for research without it affecting patient privacy, and avoids the need for individual patient consent. In recent years there is increasing interest in developing an accurate, robust and adaptable automatic de-identification system for electronic health records. This is mainly due to the dilemma between the availability of an abundance of health data, and the inability to use such data in research due to legal and ethical restrictions. De-identification tracks in competitions such as the 2014 i2b2 UTHealth and the 2016 CEGS N-GRID shared tasks have provided a great platform to advance this area. The primary reasons for this include the open source nature of the dataset and the fact that raw psychiatric data were used for 2016 competitions. This study focuses on noticeable trend changes in the techniques used in the development of automatic de-identification for longitudinal clinical narratives. More specifically, the shift from using conditional random fields (CRF) based systems only or rules (regular expressions, dictionary or combinations) based systems only, to hybrid models (combining CRF and rules), and more recently to deep learning based systems. We review the literature and results that arose from the 2014 and the 2016 competitions and discuss the outcomes of these systems. We also provide a list of research questions that emerged from this survey.
Long‐Term Time‐Varying Risk of Readmission After Acute Myocardial Infarction

Background Readmission after myocardial infarction (MI) is a publicly reported quality metric with hospital reimbursement linked to readmission rates. We describe the timing and pattern of readmission by cause within the first year after MI in consecutive patients, regardless of revascularization strategy, payer status, or age. Methods and Results We identified patients discharged after an MI from April 2008 to June 2012. Readmission within 12 months was the primary end point. Readmissions were classified into 4 groups: MI related, other cardiovascular, noncardiovascular, and planned. A total of 3069 patients were discharged after an MI (average age, 65±13 years; and 1941 [63%] men). A total of 655 patients (21.3%) were readmitted at least once (897 total readmissions). A total of 147 patients (4.8%) were readmitted ≥2 times, accounting for 389 readmissions (43%). The instantaneous risk of all‐cause readmission was highest (15 readmissions/100 patients per month; 95% confidence interval, 12–19 readmissions/100 patients per month) immediately after discharge, decreased by almost half (8.1 readmissions/100 patients per month; 95% confidence interval, 7.2–9.0 readmissions/100 patients per month) within 15 days, and was substantially lower and relatively constant (1.4 readmissions/100 patients per month; 95% confidence interval, 1.2–1.6 readmissions/100 patients per month) out to 1 year. Cardiovascular causes of readmission were more common early after discharge. Conclusions Most patients with MI are never readmitted, whereas a small minority (≈5%) account for nearly half of 1‐year readmissions. The readmission pattern after MI is characterized by an early peak (first 15 days) of cardiovascular readmissions, followed by a middle period (months 1–4) of noncardiovascular readmissions, and ending with a low‐risk period (>4 months) during which the risk appears independent of cause.
The Pay Transparency Dilemma: Development and Validation of the Pay Information Exchange Preferences Scale

Although calls for pay transparency in the workplace are growing, it remains unclear which factors determine when and why employees exchange pay information. We use a social comparison theory lens to identify the pay transparency dilemma, wherein pay information exchange can create benefits by reducing uncertainty and verifying equitable pay, but simultaneously risks straining interpersonal relationships and damaging reputations. To examine individual differences in employee sensitivity to the risks and benefits presented in this dilemma, our research develops a measure of pay information exchange preferences with two facets: information sharing preferences and information seeking preferences. Across eight samples, we present evidence that supports the content, construct, and criterion validity of these measures. Overall, these findings support the idea that social comparison processes play a key role in shaping employee pay information exchange preferences and behaviors. This new instrument has the potential to catalyze future theoretical development and research to aid practitioners in making evidence-based decisions about pay communication policies.
Cumulative aggregation

From any two conditional obligations “X if A” and “Y if B”, cumulative aggregation derives the combined obligation “X ∪ Y if A ∪ (B \X)”, whereas simple aggregation derives the obligation “X ∪ Y if A ∪ B”. We propose FC systems consisting of cumulative aggregation together with factual detachment, and we give a representation result for FC systems, as well as for FA systems consisting of simple aggregation together with factual detachment. We relate FC and FA systems to each other and to input/output logics recently introduced by Parent and van der Torre.
A Novel Engineered Small Protein for Positron Emission Tomography Imaging of Human Programmed Death Ligand-1: Validation in Mouse Models and Human Cancer Tissues

Purpose: To design and evaluate a small engineered protein binder targeting human programmed death-1 ligand (hPD-L1) in vivo for PET imaging in four mouse tumor models, and in situ in human cancer specimens. Experimental Design: The hPD-L1 protein binder, FN3hPD-L1, was engineered using a 12-kDa human fibronectin type-3 domain (FN3) scaffold. The binder's affinity was assayed in CT26 mouse colon carcinoma cells stably expressing hPD-L1 (CT26/hPD-L1). 64Cu-FN3hPD-L1 was assayed for purity, specific activity, and immunoreactivity. Four groups of NSG mice (n = 3–5/group) were imaged with 64Cu-FN3hPD-L1 PET imaging (1–24 hours postinjection of 3.7 MBq/7 μg of Do-FN3 in 200 μL PBS): Nod SCID Gamma (NSG) mice bearing (i) syngeneic CT26/hPD-L1tumors, (ii) CT26/hPD-L1 tumors blocked (blk) by preinjected nonradioactive FN3hPD-L1 binder, (iii) hPD-L1-negative Raji xenografts, and (iv) MDA-MB-231 xenografts. The FN3hPD-L1 binder staining was evaluated against validated hPD-L1 antibodies by immunostaining in human cancer specimens. Results: FN3hPD-L1 bound hPD-L1 with 1.4 ± 0.3 nmol/L affinity in CT26/hPD-L1 cells. 64Cu-FN3hPD-L1 radiotracer showed >70% yield and >95% purity. 64Cu-FN3hPD-L1 PET imaging of mice bearing CT26/hPD-L1 tumors showed tumor-to-muscle ratios of 5.6 ± 0.9 and 13.1 ± 2.3 at 1 and 4 hours postinjection, respectively. The FN3hPD-L1 binder detected hPD-L1 expression in human tissues with known hPD-L1 expression status based on two validated antibodies. Conclusions: The 64Cu-FN3hPD-L1 radiotracer represents a novel, small, and high-affinity binder for imaging hPD-L1 in tumors. Our data support further exploration and clinical translation of this binder for noninvasive identification of cancer patients who may respond to immune checkpoint blockade therapies.
Impact of Peer Support on Acute Care Visits and Hospitalizations for Individuals With Diabetes and Depressive Symptoms: A Cluster-Randomized Controlled Trial

OBJECTIVE Comorbid depression is associated with increased health care utilization and cost. We examined the effects of peer support on acute care (AC) and hospital utilization in individuals with diabetes with or without depressive symptoms. RESEARCH DESIGN AND METHODS This was a cluster-randomized controlled trial conducted in 2010–2012, with the clusters being practices and their surrounding communities. Adults with type 2 diabetes who wanted help with self-management were eligible to participate. Those without a doctor, with limited life expectancy, with plans to move within the next year, and with an unwillingness to work with a peer advisor were excluded. Intervention participants received 1 year of peer support. Control participants received usual care. The Patient Health Questionnaire (PHQ-8) (range 0–24; 5 indicates mild and 10 indicates moderate depressive symptoms) assessed depressive symptoms. AC and hospital utilization were measured by self-report. Data were collected at baseline, 6 months, and 12 months. Quasi-Poisson regression using generalized estimating equations examined differences in utilization per year attributable to the intervention for those with and without mild depressive symptoms (and separately, moderate depressive symptoms), controlling for imbalance across treatment arms. RESULTS At baseline, half of the sample reported mild depressive symptoms (52% intervention and 48% control, P = 0.37), a quarter reported moderate depressive symptoms (25% intervention and 26% control, P = 1.0), and there were no significant differences in utilization. A total of 168 intervention (six clusters) and 187 control (five clusters) participants had follow-up data. In individuals with mild depressive symptoms, the incident rate ratio (IRR) for hospitalization among intervention compared with control was 0.26 (95% CI 0.08–0.84) per 10 patient-years. The IRR for AC was 0.55 (95% CI 0.28–1.07) per 10 person-years. Findings were similar for individuals with moderate depressive symptoms. CONCLUSIONS Peer support lowered AC visits and hospitalizations for individuals with depressive symptoms but not for those without depressive symptoms; these findings can guide resource allocation for population health management.
A Cloud Detection Algorithm for Remote Sensing Images Using Fully Convolutional Neural Networks

This paper presents a deep-learning based framework for addressing the problem of accurate cloud detection in remote sensing images. This framework benefits from a Fully Convolutional Neural Network (FCN), which is capable of pixel-level labeling of cloud regions in a Landsat 8 image. Also, a gradient-based identification approach is proposed to identify and exclude regions of snow/ice in the ground truths of the training set. We show that using the hybrid of the two methods (threshold-based and deep-learning) improves the performance of the cloud identification process without the need to manually correct automatically generated ground truths. In average the Jaccard index and recall measure are improved by 4.36% and 3.62%, respectively.
Phyllanthus niruri versus Placebo for Chronic Hepatitis B Virus Infection: A Randomized Controlled Trial

Background: This study aimed to investigate the efficacy and safety of a 12-month treatment with Phyllanthus niruri in subjects with chronic hepatitis B virus (HBV) infection. Patients and Methods: A placebo-controlled, parallel-group double-blind trial was performed. Clinical assessments took place at baseline and at 1, 3, 9, and 12 months after the treatment start and 6 months after treatment end. Results: In the first 2 years, 50 eligible subjects with chronic HBV accepted to participate. Of those, 47 completed all the study-related visits (6% drop-out rate): 24 of the 26 (92%) allocated to the Phyllanthus group and 23 of the 24 (96%) allocated to the placebo group completed the study. No statistically significant differences in viral load were found between the intervention and placebo groups after 12 months and no subjects showed HBsAg clearance. With regards to safety, there were no changes in renal function parameters in both groups after 12 months and no serious adverse events occurred due to the treatment. The study was stopped at the end of the second year because there was no apparent benefit of the treatment. Conclusion: This study does not support the use of Phyllanthus niruri for the treatment of chronic hepatitis B.
A Review of the Most Commonly Used Methods for Sample Collection in Environmental Surveillance of Poliovirus

Abstract We performed a review of the environmental surveillance methods commonly used to collect and concentrate poliovirus (PV) from water samples. We compared the sampling approaches (trap vs grab), the process methods (precipitation vs filtration), and the various tools and chemical reagents used to separate PV from other viruses and pathogens in water samples (microporous glass, pads, polyethylene glycol [PEG]/dextran, PEG/sodium chloride, NanoCeram/ViroCap, and ester membranes). The advantages and disadvantages of each method are considered, and the geographical areas where they are currently used are discussed. Several methods have demonstrated the ability to concentrate and recover PVs from environmental samples. The details of the particular sampling conditions and locations should be considered carefully in method selection.
Regional metabolic differences in rat prefrontal cortex measured with in vivo 1H‐MRS correlate with regional histochemical differences

Many neurological/psychiatric disorders are associated with metabolic abnormalities in the brain observable with in vivo proton MRS (1H‐MRS). The underlying molecular/cellular mechanisms and functional correlations of such metabolic alterations, however, are yet to be understood fully. The rodent prefrontal cortex (PFC) is comprised of multiple sub‐regions with distinctive cytoarchitecture and functions, providing a good model system to study the correlations among cerebral metabolism, regional cytoarchitecture and connectivity. In this study, the metabolic profiles in two voxels containing mainly the medial PFC (mPFC) and posterior part of the cingulate cortex (pCG), respectively, were measured with single‐voxel in vivo 1H‐MRS in adult male rats. The levels of glutamine synthetase and glutamatergic synaptic proteins, including vesicular glutamate transporter 1, vesicular glutamate transporter 2 (VGLUT2) and post‐synaptic density protein 95 (PSD95), as well as the density of astrocytes, in these two regions were also compared semi‐quantitatively. It was shown that, relative to the pCG voxel, the mPFC voxel had significantly higher N‐acetyl aspartate, glutamate (Glu), glutamine (Gln), Glx (Glu + Gln), myo‐inositol and taurine levels. The VGLUT2/PSD95 levels and astrocyte density were also higher in the mPFC voxel than in the pCG voxel. Taken together, these results indicated that regional metabolic variations in the PFC of the adult male rat may reflect regional differences in the density of astrocytes and glutamatergic terminals associated with subcortical projections. The study provided a link between the Glu concentration measured with localized in vivo 1H‐MRS and regional glutamatergic activities/connections in the rat PFC.
Learning to Globally Edit Images with Textual Description

We show how we can globally edit images using textual instructions: given a source image and a textual instruction for the edit, generate a new image transformed under this instruction. To tackle this novel problem, we develop three different trainable models based on RNN and Generative Adversarial Network (GAN). The models (bucket, filter bank, and end-to-end) differ in how much expert knowledge is encoded, with the most general version being purely end-to-end. To train these systems, we use Amazon Mechanical Turk to collect textual descriptions for around 2000 image pairs sampled from several datasets. Experimental results evaluated on our dataset validate our approaches. In addition, given that the filter bank model is a good compromise between generality and performance, we investigate it further by replacing RNN with Graph RNN, and show that Graph RNN improves performance. To the best of our knowledge, this is the first computational photography work on global image editing that is purely based on free-form textual instructions.
Integration of MRI and MRS approaches to monitor molecular imaging and metabolomic effects of trabectedin on a preclinical ovarian cancer model

Although several drugs are available to treat recurrences of human epithelial ovarian cancer (EOC), clinical responses often remain short lived and lead to only marginal improvements in patients' survival. One of the new drugs proposed for recurrent platinum‐resistant EOC patients is trabectedin (Trab), a marine‐derived antitumor agent initially isolated from the tunicate Ecteinascidia turbinata and currently produced synthetically. Predictive biomarkers of therapy response to this drug and the potential use of non‐invasive functional MRI and MRS approaches for an early assessment of Trab efficacy have not yet been evaluated, although they might be relevant for improving the clinical management of EOC patients. In the present work we combined functional and spectroscopic magnetic resonance technologies, such as in vivo diffusion‐weighted MRI and 1H MRS, with ex vivo high resolution MRS (HR‐MRS) metabolomic analyses, with the aim of identifying new pharmacodynamic markers of Trab effectiveness on well characterized, highly aggressive human SKOV3.ip (a HER2‐enriched cell variant derived from SKOV3 cells) EOC xenografts. In vivo treatment with Trab (three consecutive weekly 0.2 mg/kg i.v. injections) resulted in the following: (1) a significant reduction of in vivo tumor growth, along with the formation in cancer lesions of diffuse hyper‐intense areas detected by T2‐weighted MRI and attributed to necrosis, in agreement with histopathology findings; (2) significant increases in the apparent diffusion coefficient mean and median values versus saline‐treated control tumors; and (3) a significant reduction in the choline‐containing metabolites' signal detected by quantitative in vivo MRS. Multivariate and quantitative HR‐MRS analyses on ex vivo tissue samples revealed Trab‐induced alterations in phospholipid and glucose metabolism identified as a decrease in phosphocholine and an increase in lactate. Collectively, these data identify Trab‐induced functional MRI and MRS alterations in EOC models as a possible basis for further developments of these non‐invasive imaging methods to improve the clinical management of EOC patients.