Miracle-dz/UniFAR-FTUs huggingface dataset:
The Efficacy of Learners’ Testing Choices

Practice tests provide large mnemonic benefits over restudying, but learners judge practice tests as less effective than restudying. Consequently, learners infrequently utilize testing when controlling their study and often choose to be tested only on well-learned items. In 5 experiments, we examined whether learners’ choices about testing and restudying are effective for improving subsequent memory performance. Learners studied a list of word pairs and chose which items to restudy and which to test. Some of learners’ choices were honored (by assigning those items to the chosen activity) and some of learners’ choices were dishonored (by assigning those items to the opposite study activity). Surprisingly, and in contrast with all work to date on the metacognitive monitoring of testing effects, honoring learners’ testing choices consistently resulted in better memory performance than dishonoring choices. This effect occurred principally because learners often chose to restudy difficult items, and those items did not benefit from testing. The effectiveness of learners’ choices about testing casts the metacognition of testing in a new light: learners may not appreciate the benefits of testing, but they do have an understanding of circumstances in which the benefits of testing are minimal.
Adult Antiretroviral Therapy and Child Health: Evidence from Scale-up in Zambia.

One in five Zambian children lives with an HIV/AIDS-infected adult. We estimate the effect that the availability of adult antiretroviral therapy (ART) has on the health of such children. Using a triple difference specification, we find that adult access to ART resulted in increased weight-for-age and decreased incidence of stunting among children younger than 60 months who resided with an infected father or other infected adult in an intact household. Because the increased availability of adult ART in sub-Saharan Africa has multigenerational effects, cost-effectiveness estimates restricted to direct recipients understate the economic benefit of the treatment.
Does Change in Self-Perceived Problem Drinker Identity Relate to Change in Alcohol Use? An Examination of Nontreatment Seeking Hazardous Drinkers

Identity change is related to reductions in alcohol use among treatment seekers, but it is unclear the extent to which identity change is associated with reductions in alcohol use among nontreatment seeking hazardous drinkers. The goal of the current study was to examine whether change in problem drinker identity (i.e., self-reported identification as a problem or nonproblem drinker) was associated with reductions in heavy drinking among nontreatment seeking hazardous drinkers. Participants (n = 149) completed measures to assess alcohol use and were asked if they identified as a problem drinker at baseline and at 6-, 12-, 18-, and 24-month follow-ups. Two groups were compared: (a) those who identified as a problem drinker at baseline but identified as a nonproblem drinker at 12 months and (b) those who did not make the same transition. Latent mixture modeling was conducted to examine whether change in problem drinker identity was predictive of heavy drinking latent class growth trajectories. The results indicated that a self-reported transition from identification as a problem drinker to identification as a nonproblem drinker was associated with greater reductions in heavy drinking over the assessment period and a 7 times greater likelihood of being in a rapidly decreasing heavy drinking latent trajectory class compared with participants who did not make the same transition. Self-reported transitions in identity appear to be a good predictor of heavy drinking trajectories among nontreatment seekers. A better understanding of what predicts transitions in drinking identity among non-treatment and treatment seekers is needed.
Prevalence Risk of Metabolic Syndrome Associated with Alcohol Use Behavior in Korean Women

Objective Considerable research has been conducted on the relationship between alcohol consumption and metabolic syndrome. Although various standards for the amount and frequency of alcohol consumption have been suggested, a tool to measure individual alcohol use behavior against a consistent standard is required. Moreover, the association of alcohol use behavior with health should be examined on the basis of such a standard. In this study, we examined the relationships between alcohol use behavior according to the Alcohol Use Disorders Identification Test (AUDIT) and metabolic syndrome and its components in Korean women. Methods This study utilized data from the fifth Korean National Health and Nutrition Examination Survey, which was administered from 2010 through 2012. We investigated the relationships between alcohol use behavior and metabolic syndrome and its components in a sample of 2,906 women by using analysis of covariance and logistic regression analysis. Results After adjusting for confounding variables, alcohol use behavior was significantly associated with metabolic syndrome [odds ratio (OR) 2.877; 95% confidence interval (CI) 1.523–5.435 in the problem use group]. AUDIT score also was significantly related to abdominal obesity (OR 2.263; 95% CI 1.704–4.459 in the problem use group), hypertension (OR 3.377; 95% CI 1.871–6.095 in the problem use group), hypertriglyceridemia (OR 3.204; 95% CI 1.800–5.702 in the problem use group), and impaired fasting glucose (OR 3.034; 95% CI 1.721–5.348 in the problem use group). Conclusion In this study, positive associations were observed between AUDIT score and risk of metabolic syndrome and its components.
Automatic Functions, Linear Time and Learning

The present work determines the exact nature of {\em linear time computable} notions which characterise automatic functions (those whose graphs are recognised by a finite automaton). The paper also determines which type of linear time notions permit full learnability for learning in the limit of automatic classes (families of languages which are uniformly recognised by a finite automaton). In particular it is shown that a function is automatic iff there is a one-tape Turing machine with a left end which computes the function in linear time where the input before the computation and the output after the computation both start at the left end. It is known that learners realised as automatic update functions are restrictive for learning. In the present work it is shown that one can overcome the problem by providing work tapes additional to a resource-bounded base tape while keeping the update-time to be linear in the length of the largest datum seen so far. In this model, one additional such work tape provides additional learning power over the automatic learner model and two additional work tapes give full learning power. Furthermore, one can also consider additional queues or additional stacks in place of additional work tapes and for these devices, one queue or two stacks are sufficient for full learning power while one stack is insufficient.
Testing moderation in network meta‐analysis with individual participant data

Meta‐analytic methods for combining data from multiple intervention trials are commonly used to estimate the effectiveness of an intervention. They can also be extended to study comparative effectiveness, testing which of several alternative interventions is expected to have the strongest effect. This often requires network meta‐analysis (NMA), which combines trials involving direct comparison of two interventions within the same trial and indirect comparisons across trials. In this paper, we extend existing network methods for main effects to examining moderator effects, allowing for tests of whether intervention effects vary for different populations or when employed in different contexts. In addition, we study how the use of individual participant data may increase the sensitivity of NMA for detecting moderator effects, as compared with aggregate data NMA that employs study‐level effect sizes in a meta‐regression framework. A new NMA diagram is proposed. We also develop a generalized multilevel model for NMA that takes into account within‐trial and between‐trial heterogeneity and can include participant‐level covariates. Within this framework, we present definitions of homogeneity and consistency across trials. A simulation study based on this model is used to assess effects on power to detect both main and moderator effects. Results show that power to detect moderation is substantially greater when applied to individual participant data as compared with study‐level effects. We illustrate the use of this method by applying it to data from a classroom‐based randomized study that involved two sub‐trials, each comparing interventions that were contrasted with separate control groups. Copyright © 2016 John Wiley & Sons, Ltd.
A sexually dichotomous, autistic‐like phenotype is induced by Group B Streptococcus maternofetal immune activation

Group B Streptococcus (GBS) is a commensal bacterium present in the lower genital tract of 15–30% of healthy pregnant women. GBS is the leading cause of chorioamnionitis and cerebral injuries in newborns, occurring most often in the absence of maternofetal pathogen translocation. Despite GBS being the most frequent bacterium colonizing pregnant women, no preclinical studies have investigated the impact of end‐gestational maternal GBS exposure on the offspring's brain development and its behavioral correlates. Our hypothesis is that GBS‐induced gestational infection/inflammation has a deleterious neurodevelopmental impact on uninfected offspring. Our goal was to study the impact of maternal GBS infection on the placental and neurodevelopmental features in the offspring using a new preclinical rat model. GBS‐exposed placentas exhibited chorioamnionitis characterized by the presence of Gram‐positive cocci and polymorphonuclear cells, with the latter being significantly more prominent in the labyrinth of male offspring. GBS‐exposed male offspring had reduced thickness of periventricular white matter. In addition, they exhibited autistic‐like behaviors, such as abnormal social interaction and communication, impaired processing of sensory information and hyperactivity. Overall, these data show for the first time that gestational exposure to GBS plays an important role in the generation of neurodevelopmental abnormalities reminiscent of human autism spectrum disorders (ASD). These results provide new evidence in favor of the role of a common and modifiable infectious/inflammatory environmental factor in human ASD pathophysiology. Autism Res 2017, 10: 233–245. © 2016 International Society for Autism Research, Wiley Periodicals, Inc.
Comparison of stroke volume evolution on diffusion-weighted imaging and fluid-attenuated inversion recovery following endovascular thrombectomy

Background To compare the evolution of the infarct lesion volume on both diffusion-weighted imaging and fluid-attenuated inversion recovery in the first five days after endovascular thrombectomy. Methods We included 109 patients from the CRISP and DEFUSE 2 studies. Stroke lesion volumes obtained on diffusion-weighted imaging and fluid-attenuated inversion recovery images both early post-procedure (median 18 h after symptom onset) and day 5, were compared using median, interquartile range, and correlation plots. Patients were dichotomized based on the time after symptom onset of their post procedure images (≥18 h vs. <18 h), and the degree of reperfusion (on Tmax>6 s; ≥ 90% vs. < 90%). Results Early post-procedure, median infarct lesion volume was 19 ml [(IQR) 7–43] on fluid-attenuated inversion recovery, and 23 ml [11–64] on diffusion-weighted imaging. On day 5, median infarct lesion volume was 52 ml [20–118] on fluid-attenuated inversion recovery, and 37 ml [16–91] on diffusion-weighted imaging. Infarct lesion volume on early post-procedure diffusion-weighted imaging, compared to fluid-attenuated inversion recovery, correlated better with day 5 diffusion-weighted imaging and fluid-attenuated inversion recovery lesions (r = 0.88 and 0.88 vs. 0.78 and 0.77; p < 0.0001). Median lesion growth was significantly smaller on diffusion-weighted imaging when the early post-procedure scan was obtained ≥18 h post stroke onset (5 ml [−1–13]), compared to <18 h (13 ml [2–47]; p = 0.03), but was not significantly different on fluid-attenuated inversion recovery (≥18 h: 26 ml [12–57]; <18 h: 21 ml [5–57]; p = 0.65). In the <90% reperfused group, the median infarct growth was significantly larger for diffusion-weighted imaging and fluid-attenuated inversion recovery (diffusion-weighted imaging: 23 ml [8–57], fluid-attenuated inversion recovery: 41 ml [13–104]) compared to ≥90% (diffusion-weighted imaging: 6 ml [2–24]; p = 0.003, fluid-attenuated inversion recovery: 19 ml [8–46]; p = 0.001). Conclusions Early post-procedure lesion volume on diffusion-weighted imaging is a better estimate of day 5 infarct volume than fluid-attenuated inversion recovery. However, both early post-procedure diffusion-weighted imaging and fluid-attenuated inversion recovery underestimate day 5 diffusion-weighted imaging and fluid-attenuated inversion recovery lesion volumes, especially in patients who do not reperfuse.
Report and Research Agenda of the American Geriatrics Society and National Institute on Aging Bedside‐to‐Bench Conference on Urinary Incontinence in Older Adults: A Translational Research Agenda for a Complex Geriatric Syndrome

The American Geriatrics Society, with support from the National Institute on Aging and other funders, held its ninth Bedside‐to‐Bench research conference, entitled “Urinary Incontinence in the Older Adult: A Translational Research Agenda for a Complex Geriatric Syndrome,” October 16 to 18, 2016, in Bethesda, Maryland. As part of a conference series addressing three common geriatric syndromes—delirium, sleep and circadian rhythm disturbance, and urinary incontinence—the series highlighted relationships and pertinent clinical and pathophysiological commonalities between these conditions. The conference provided a forum for discussing current epidemiology, basic science, and clinical and translational research on urinary incontinence in older adults; for identifying gaps in knowledge; and for developing a research agenda to inform future investigative efforts. The conference also promoted networking involving emerging researchers and thought leaders in the field of incontinence, aging, and other fields of research, as well as National Institutes of Health program personnel.
Improved time to disease progression in the brain in patients with melanoma brain metastases treated with concurrent delivery of radiosurgery and ipilimumab

ABSTRACT Background: To identify the optimal sequencing and timing of immunotherapy (IT) and stereotactic radiosurgery (SRS) for melanoma brain metastases (MBMs). Methods: The elapsed days between IT and SRS were correlated with local control (LC), regional brain control (RBC), time to CNS progression (TTPCNS), overall survival (OS), and radiation necrosis (RN). Logistic regression and Cox proportional models were used for statistical analysis. Results: Twenty-five patients with 58 MBMs underwent SRS and IT. Median follow-up was 22.7 mo (3.1–77.9 mo). A median of 2 SRS treatments of 21 Gy (range 16–24 Gy) and 4 cycles of Ipilimumab were delivered. SRS was delivered Before, After or Concurrently with IT in 9, 5, and 11 patients, respectively; 8/25 received SRS ≤30 d of IT and 17/25 were >30 d of IT. Median OS was 35.8 mo, 1- and 2-y OS was 83% and 64%, respectively, and LC was 94.8%. By timing, RBC and TTPCNS were significantly improved when SRS was delivered ≤30 d of IT (75% vs 23.5%, p = 0.03 and median not reached vs 5.7 mo, p = 0.02, respectively). By groups, Concurrent delivery improved TTPCNS (p = 0.04). The rate of RN was 20.7% (12/58 lesions) and RN was associated with improved OS (HR 0.21, p = 0.01). Conclusions: High OS was found for MBM treated with SRS and IT compared to historical reports. A significant association for improved RBC and TTPCNS was found when SRS was delivered concurrently and within 30 d of IT. Occurrence of RN was higher than SRS alone series but significantly associated with improved OS.
Reversible Oligonucleotide Chain Blocking Enables Bead Capture and Amplification of T-Cell Receptor α and β Chain mRNAs

Next-generation sequencing (NGS) has proven to be an exceptionally powerful tool for studying genetic variation and differences in gene expression profiles between cell populations. However, these population-wide studies are limited by their inability to detect variation between individual cells within a population, inspiring the development of single-cell techniques such as Drop-seq, which add a unique barcode to the mRNA from each cell prior to sequencing. Current Drop-seq technology enables capture, amplification, and barcoding of the entire mRNA transcriptome of individual cells. NGS can then be used to sequence the 3′-end of each message to build a cell-specific transcriptional landscape. However, current technology does not allow high-throughput capture of information distant from the mRNA poly-A tail. Thus, gene profiling would have much greater utility if beads could be generated having multiple transcript-specific capture sequences. Here we report the use of a reversible chain blocking group to enable synthesis of DNA barcoded beads having capture sequences for the constant domains of the T-cell receptor α and β chain mRNAs. We demonstrate that these beads can be used to capture and pair TCRα and TCRβ sequences from total T-cell RNA, enabling reverse transcription and PCR amplification of these sequences. This is the first example of capture beads having more than one capture sequence, and we envision that this technology will be of high utility for applications such as pairing the antigen receptor chains that give rise to autoimmune diseases or measuring the ratios of mRNA splice variants in cancer stem cells.
Filler Nodules: Inflammatory or Infectious? A Review of Biofilms and Their Implications on Clinical Practice

BACKGROUND The numbers of minimally invasive cosmetic procedures performed in the United States have steadily increased each year. Concurrently, the rates of filler complications have also increased. Delayed filler reactions and granulomas have recently been attributed to biofilm infections. OBJECTIVE The biology and pathogenesis of biofilms, and their diagnosis, treatment, and prevention will be discussed. METHODS The relevant and recent literature on delayed filler reactions and biofilms was reviewed. RESULTS Increasing evidence implicates biofilm infections in the pathogenesis of delayed filler reactions. Therapeutic and preventative measures can be taken to minimize the occurrence of these potentially devastating consequences of dermal fillers. CONCLUSION Awareness of biofilm infections is key in the assessment of filler reactions in order to ensure timely and accurate diagnosis and treatment.
Poster: Sonicnect: Accurate Hands-Free Gesture Input System with Smart Acoustic Sensing

This work presents Sonicnect, an acoustic sensing system with smartphone that enables accurate hands-free gesture input. Sonicnect leverages the embedded microphone in the smartphone to capture the subtle audio signals generated with fingers touching on the table. It supports 9 commonly used gestures (click, flip, scroll and zoom, etc) with above 92% recognition accuracy, and the minimum gesture movement could be 2cm. Distinguishable features are then extracted by exploiting spatio-temporal and frequency properties of the subtle audio signals. We conduct extensive real environment experiments to evaluate its performance. The results validate the effectiveness and robustness of Sonicnect.
Liver‐specific deficiency of unc‐51 like kinase 1 and 2 protects mice from acetaminophen‐induced liver injury

unc‐51‐like autophagy activating kinase 1 and 2 (Ulk1/2) regulate autophagy initiation under various stress conditions. However, the physiological functions of these Ser/Thr kinases are not well characterized. Here, we show that mice with liver‐specific double knockout (LDKO) of Ulk1 and Ulk2 (Ulk1/2 LDKO) are viable, but exhibit overt hepatomegaly phenotype. Surprisingly, Ulk1/2 LDKO mice display normal autophagic activity in hepatocytes upon overnight fasting, but are strongly resistant to acetaminophen (APAP)‐induced liver injury. Further studies revealed that Ulk1/2 are also dispensable for APAP‐induced autophagy process, but are essential for the maximum activation of c‐Jun N‐terminal kinase (JNK) signaling both in vivo and in isolated primary hepatocytes during APAP treatment. Mechanistically, APAP‐induced inhibition of mechanistic target of rapamycin complex 1 releases Ulk1 from an inactive state. Activated Ulk1 then directly phosphorylates and increases the kinase activity of mitogen‐activated protein kinase kinase 4 and 7 (MKK4/7), the upstream kinases and activator of JNK, and mediates APAP‐induced liver injury. Ulk1‐dependent phosphorylation of MKK7 was further confirmed by a context‐dependent phosphorylation antibody. Moreover, activation of JNK and APAP‐induced cell death was markedly attenuated in Mkk4/7 double knockdown hepatocytes reconstituted with an Ulk1‐unphosphorylatable mutant of MKK7 compared to those in cells rescued with wild‐type MKK7. Conclusion: Together, these findings reveal an important role of Ulk1/2 for APAP‐induced JNK activation and liver injury, and understanding of this regulatory mechanism may offer us new strategies for prevention and treatment of human APAP hepatotoxicity. (Hepatology 2018;67:2397‐2413).
Causal Mediation Analysis of Survival Outcome with Multiple Mediators

Background: Mediation analyses have been a popular approach to investigate the effect of an exposure on an outcome through a mediator. Mediation models with multiple mediators have been proposed for continuous and dichotomous outcomes. However, development of multimediator models for survival outcomes is still limited. Methods: We present methods for multimediator analyses using three survival models: Aalen additive hazard models, Cox proportional hazard models, and semiparametric probit models. Effects through mediators can be characterized by path-specific effects, for which definitions and identifiability assumptions are provided. We derive closed-form expressions for path-specific effects for the three models, which are intuitively interpreted using a causal diagram. Results: Mediation analyses using Cox models under the rare-outcome assumption and Aalen additive hazard models consider effects on log hazard ratio and hazard difference, respectively; analyses using semiparametric probit models consider effects on difference in transformed survival time and survival probability. The three models were applied to a hepatitis study where we investigated effects of hepatitis C on liver cancer incidence mediated through baseline and/or follow-up hepatitis B viral load. The three methods show consistent results on respective effect scales, which suggest an adverse estimated effect of hepatitis C on liver cancer not mediated through hepatitis B, and a protective estimated effect mediated through the baseline (and possibly follow-up) of hepatitis B viral load. Conclusions: Causal mediation analyses of survival outcome with multiple mediators are developed for additive hazard and proportional hazard and probit models with utility demonstrated in a hepatitis study.