TASK DEFINITION: In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
PROBLEM: Context: This study tested the hypothesis that patients with more severe substance use disorders (SUDs) at intake respond better when treated in more structured and intensive settings (i.e. in-patient/residential versus out-patient), whereas patients with less severe SUD problems have similar outcomes regardless of treatment setting.', 'Up to 50 new patients were selected randomly from each of a random and representative sample of 50 Department of Veterans Affairs (VA) SUD treatment programs (total n = 1917 patients), and were followed-up an average of 6.7 months later (n = 1277).', 'Patients completed a brief self-report version of the Addiction Severity Index (ASI) at baseline and at follow-up.', 'In mixed-model regression analyses, baseline substance use severity predicted follow-up substance use severity and there were no main effects of treatment setting. However, interaction effects were found, such that more severe patients experienced better alcohol and drug outcomes following in-patient/residential treatment versus out-patient treatment; on the other hand, patients with lower baseline ASI drug severity had better drug outcomes following out-patient treatment than in-patient treatment. Treatment setting was unrelated to alcohol outcomes in patients with less severe ASI alcohol scores.\Question: Do treatment setting and baseline substance use severity interact to predict patients ' outcomes?

SOLUTION: Results provide some support to the matching hypothesis that for patients who have higher levels of substance use severity at intake, treatment in in-patient/residential treatment settings is associated with better outcomes than out-patient treatment. More research needs to be conducted before in-patient/residential settings are further reduced as a part of the SUD continuum of care in the United States.

PROBLEM: Context: Lieber-DeCarli diet has been used to induce obesity and non-alcoholic steatohepatitis (NASH). As scarce anatomical and clinical-related information on this diet model exists and being exercise an advised strategy to counteract metabolic diseases, we aimed to analyze the preventive (voluntary physical activity - VPA) and therapeutic (endurance training - ET) effect of exercise on clinical/anatomical features of rats fed with Lieber-DeCarli diet.', 'In the beginning of the protocol, Sprague-Dawley rats were divided into standard-diet sedentary (SS, n = 20), standard-diet VPA (SVPA, n = 10), high-fat diet sedentary (HS, n = 20) and high-fat diet VPA (HVPA, n = 10) groups. After 9-weeks, half (n = 10) of SS and HS groups were engaged in an ET program (8 wks/5 d/wk/60 min/day). At this time, a blood sample was collected for biochemical analysis. At the end of protocol (17-weeks) anatomic measures were assessed. Heart, liver, femur and visceral fat were weighted and blood was collected again. Liver section was used for histopathological examination.', 'At 17-weeks, high-fat diet increased visceral adiposity (HS vs. SS), which was counteracted by both exercises. However, ET was the only intervention able to diminished obesity-related measures and the histological features of NASH. Moreover, blood analysis at 9 weeks showed that high-fat diet increased ALT, AST, cholesterol and HDL while VLDL and TG levels were decreased (HS vs. SS). Notably, although these parameters were counteracted after 9-weeks of VPA, they were transitory and not observed after 17-weeks.\Question: Does physical exercise antagonize clinical and anatomical features characterizing Lieber-DeCarli diet-induced obesity and related metabolic disorders?

SOLUTION: ET used as a therapeutic tool mitigated the clinical/anatomical-related features induced by Liber-DeCarli diet, thus possibly contributing to control obesity and metabolic disorders.

PROBLEM: Context: Manual scoring of sleep relies on identifying certain characteristics in polysomnograph (PSG) signals. However, these characteristics are disrupted in patients with neurodegenerative diseases.', "This study evaluates sleep using a topic modeling and unsupervised learning approach to identify sleep topics directly from electroencephalography (EEG) and electrooculography (EOG). PSG data from control subjects were used to develop an EOG and an EEG topic model. The models were applied to PSG data from 23 control subjects, 25 patients with periodic leg movements (PLMs), 31 patients with idiopathic REM sleep behavior disorder (iRBD) and 36 patients with Parkinson's disease (PD). The data were divided into training and validation datasets and features reflecting EEG and EOG characteristics based on topics were computed. The most discriminative feature subset for separating iRBD/PD and PLM/controls was estimated using a Lasso-regularized regression model.", 'The features with highest discriminability were the number and stability of EEG topics linked to REM and N3, respectively. Validation of the model indicated a sensitivity of 91.4% and a specificity of 68.8% when classifying iRBD/PD patients.\Question: Does data-driven modeling of sleep EEG and EOG reveal characteristics indicative of pre-Parkinson 's and Parkinson 's disease?

SOLUTION:
The topics showed visual accordance with the manually scored sleep stages, and the features revealed sleep characteristics containing information indicative of neurodegeneration.