Miracle-dz/UniFAR-FTUs huggingface dataset:
The Longevity of Statistical Learning: When Infant Memory Decays, Isolated Words Come to the Rescue

Research over the past 2 decades has demonstrated that infants are equipped with remarkable computational abilities that allow them to find words in continuous speech. Infants can encode information about the transitional probability (TP) between syllables to segment words from artificial and natural languages. As previous research has tested infants immediately after familiarization, infants’ ability to retain sequential statistics beyond the immediate familiarization context remains unknown. Here, we examine infants’ memory for statistically defined words 10 min after familiarization with an Italian corpus. Eight-month-old English-learning infants were familiarized with Italian sentences that contained 4 embedded target words—2 words had high internal TP (HTP, TP = 1.0) and 2 had low TP (LTP, TP = .33)—and were tested on their ability to discriminate HTP from LTP words using the Headturn Preference Procedure. When tested after a 10-min delay, infants failed to discriminate HTP from LTP words, suggesting that memory for statistical information likely decays over even short delays (Experiment 1). Experiments 2–4 were designed to test whether experience with isolated words selectively reinforces memory for statistically defined (i.e., HTP) words. When 8-month-olds were given additional experience with isolated tokens of both HTP and LTP words immediately after familiarization, they looked significantly longer on HTP than LTP test trials 10 min later. Although initial representations of statistically defined words may be fragile, our results suggest that experience with isolated words may reinforce the output of statistical learning by helping infants create more robust memories for words with strong versus weak co-occurrence statistics.
Aerobic exercise training normalizes central blood pressure regulation after oral glucose loading in overweight/obese men

ABSTRACT Central systolic blood pressure (cSBP) decreases after a meal or glucose challenge, but this response is impaired in obesity-related disorders. We investigated whether aerobic exercise training improves cSBP regulation during an oral glucose tolerance test (OGTT) in overweight/obese men. Thirteen overweight/obese men and six normal-weight men (as an alternative comparison instead of a no-exercise group) completed a 12-week aerobic exercise training program. Before and after the program, cSBP (i.e., radial second systolic pressure) was measured using an applanation tonometry at fasting and both 60 min and 120 min after 75 g glucose loading. Before and during the program, physical activity (PA) time was recorded using a tri-axial accelerometer. Pre-training, cSBP was significantly decreased with glucose loading in normal-weight men, while cSBP did not change in overweight/obese men. Post-training, a significant decrease in cSBP was observed in both groups following glucose loading. In addition, the increase in vigorous PA time during the exercise program was significantly correlated to the increase in area above the curve for cSBP during OGTT (demonstrating an improvement in the cSBP response to glucose loading) after the exercise program. These findings may provide novel insights into the role of PA in reducing the cardiovascular risk in obesity.
Insulin resistance and diabetes caused by genetic or diet-induced KBTBD2 deficiency in mice

Significance We report an essential regulator of insulin sensitivity. Mutations affecting this protein, KBTBD2, cause severe insulin-resistant diabetes, lipodystrophy, hepatic steatosis, and growth retardation. KBTBD2 is the substrate recognition subunit of a ubiquitin ligase, and its essential molecular target is p85α, the regulatory subunit of phosphoinositol-3-kinase. KBTBD2 is highly conserved among vertebrates and expressed in liver, brain, muscle, and adipocytes. In the absence of KBTBD2, p85α levels rise 30-fold in adipocytes, interrupting the insulin signal, which is fully restored by p85α knockout. Transfer of KBTBD2-sufficient adipose tissue to KBTBD2-deficient animals rescues insulin-resistant hyperglycemia. Within adipocytes, KBTBD2 expression is markedly down-regulated in response to a high-fat diet. This appears to be an important cause of the insulin resistance caused by obesity. We describe a metabolic disorder characterized by lipodystrophy, hepatic steatosis, insulin resistance, severe diabetes, and growth retardation observed in mice carrying N-ethyl-N-nitrosourea (ENU)–induced mutations. The disorder was ascribed to a mutation of kelch repeat and BTB (POZ) domain containing 2 (Kbtbd2) and was mimicked by a CRISPR/Cas9-targeted null allele of the same gene. Kbtbd2 encodes a BTB-Kelch family substrate recognition subunit of the Cullin-3–based E3 ubiquitin ligase. KBTBD2 targeted p85α, the regulatory subunit of the phosphoinositol-3-kinase (PI3K) heterodimer, causing p85α ubiquitination and proteasome-mediated degradation. In the absence of KBTBD2, p85α accumulated to 30-fold greater levels than in wild-type adipocytes, and excessive p110-free p85α blocked the binding of p85α-p110 heterodimers to IRS1, interrupting the insulin signal. Both transplantation of wild-type adipose tissue and homozygous germ line inactivation of the p85α-encoding gene Pik3r1 rescued diabetes and hepatic steatosis phenotypes of Kbtbd2−/− mice. Kbtbd2 was down-regulated in diet-induced obese insulin-resistant mice in a leptin-dependent manner. KBTBD2 is an essential regulator of the insulin-signaling pathway, modulating insulin sensitivity by limiting p85α abundance.
Frontal cortex selects representations of the talker’s mouth to aid in speech perception

Human faces contain multiple sources of information. During speech perception, visual information from the talker’s mouth is integrated with auditory information from the talker's voice. By directly recording neural responses from small populations of neurons in patients implanted with subdural electrodes, we found enhanced visual cortex responses to speech when auditory speech was absent (rendering visual speech especially relevant). Receptive field mapping demonstrated that this enhancement was specific to regions of the visual cortex with retinotopic representations of the mouth of the talker. Connectivity between frontal cortex and other brain regions was measured with trial-by-trial power correlations. Strong connectivity was observed between frontal cortex and mouth regions of visual cortex; connectivity was weaker between frontal cortex and non-mouth regions of visual cortex or auditory cortex. These results suggest that top-down selection of visual information from the talker’s mouth by frontal cortex plays an important role in audiovisual speech perception.
Progression of Microstructural Degeneration in Progressive Supranuclear Palsy and Corticobasal Syndrome: A Longitudinal Diffusion Tensor Imaging Study

Progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS) are both 4 microtubule binding repeat tauopathy related disorders. Clinical trials need new biomarkers to assess the effectiveness of tau-directed therapies. This study investigated the regional distribution of longitudinal diffusion tensor imaging changes, measured by fractional anisotropy, radial and axial diffusivity over 6 months median interval, in 23 normal control subjects, 35 patients with PSP, and 25 patients with CBS. A mixed-effects framework was used to test longitudinal changes within and between groups. Correlations between changes in diffusion variables and clinical progression were also tested. The study found that over a 6 month period and compared to controls, the most prominent changes in PSP were up to 3±1% higher rates of FA reduction predominantly in superior cerebellar peduncles, and up to 18±6% higher rates of diffusivity increases in caudate nuclei. The most prominent changes in CBS compared to controls were up to 4±1% higher rates of anisotropy reduction and 18±6% higher rates of diffusivity increase in basal ganglia and widespread white matter regions. Compared to PSP, CBS was mainly associated with up to 3±1% greater rates of anisotropy reduction around the central sulci, and 11±3% greater rates of diffusivity increase in superior fronto-occipital fascicules. Rates of diffusivity increases in the superior cerebellar peduncle correlated with rates of ocular motor decline in PSP patients. This study demonstrated that longitudinal diffusion tensor imaging measurement is a promising surrogate marker of disease progression in PSP and CBS over a relatively short period.
The clustering of Galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: including covariance matrix errors

We present improved methodology for including covariance matrices in the error budget of Baryon Oscillation Spectroscopic Survey (BOSS) galaxy clustering measurements, revisiting Data Release 9 (DR9) analyses, and describing a method that is used in DR10/11 analyses presented in companion papers. The precise analysis method adopted is becoming increasingly important, due to the precision that BOSS can now reach: even using as many as 600 mock catalogues to estimate covariance of two-point clustering measurements can still lead to an increase in the errors of ∼20 per cent, depending on how the cosmological parameters of interest are measured. In this paper, we extend previous work on this contribution to the error budget, deriving formulae for errors measured by integrating over the likelihood, and to the distribution of recovered best-fitting parameters fitting the simulations also used to estimate the covariance matrix. Both are situations that previous analyses of BOSS have considered. We apply the formulae derived to baryon acoustic oscillation (BAO) and redshift-space distortion (RSD) measurements from BOSS in our companion papers. To further aid these analyses, we consider the optimum number of bins to use for two-point measurements using the monopole power spectrum or correlation function for BAO, and the monopole and quadrupole moments of the correlation function for anisotropic-BAO and RSD measurements.
Flexible variable selection for recovering sparsity in nonadditive nonparametric models

Variable selection for recovering sparsity in nonadditive and nonparametric models with high‐dimensional variables has been challenging. This problem becomes even more difficult due to complications in modeling unknown interaction terms among high‐dimensional variables. There is currently no variable selection method to overcome these limitations. Hence, in this article we propose a variable selection approach that is developed by connecting a kernel machine with the nonparametric regression model. The advantages of our approach are that it can: (i) recover the sparsity; (ii) automatically model unknown and complicated interactions; (iii) connect with several existing approaches including linear nonnegative garrote and multiple kernel learning; and (iv) provide flexibility for both additive and nonadditive nonparametric models. Our approach can be viewed as a nonlinear version of a nonnegative garrote method. We model the smoothing function by a Least Squares Kernel Machine (LSKM) and construct the nonnegative garrote objective function as the function of the sparse scale parameters of kernel machine to recover sparsity of input variables whose relevances to the response are measured by the scale parameters. We also provide the asymptotic properties of our approach. We show that sparsistency is satisfied with consistent initial kernel function coefficients under certain conditions. An efficient coordinate descent/backfitting algorithm is developed. A resampling procedure for our variable selection methodology is also proposed to improve the power.
Drinking to Cope With Depressive Symptoms and Ruminative Thinking: A Multiple Mediation Model Among College Students

ABSTRACT Background: Understanding the potential psychosocial mechanisms that explain (i.e., mediate) the associations between depressive symptoms and alcohol-related problems can improve interventions targeting college students. Objectives: The current research examined four distinct facets of rumination (e.g., problem-focused thoughts, counterfactual thinking, repetitive thoughts, and anticipatory thoughts) and drinking to cope motives as potential explanatory mechanisms by which depressive symptoms are associated with increased alcohol-related problems. Method: Participants were undergraduate students from a large, southeastern university in the United States that consumed at least one drink per typical week in the previous month (n = 403). The majority of participants were female (n = 291; 72.2%), identified as being either White, non-Hispanic (n = 210; 52.1%), or African American (n = 110; 27.3%), and reported a mean age of 21.92 (SD = 5.75) years. Results: Structural equation modeling was conducted examining the concurrent associations between depressive symptoms, rumination facets, drinking to cope motives, and alcohol-related problems (i.e., cross-sectional). There was one significant double-mediated association that suggested that increased depressive symptoms is associated with increased problem-focused thoughts, which is associated with higher drinking to cope motives and alcohol-related problems. Conclusions/Importance: Our results suggests that problem-focused thoughts at least partially explains the associations between depression and maladaptive coping (i.e., drinking to cope), which in turn is related to problematic drinking among college students. Limitations and future directions are discussed.
PMU data analysis in smart grid using WPD

In this paper, a wavelet packet decomposition (WPD) based technique is proposed for denoising and compression of the power system data in the smart grid (SG). WPD, which is an expansion of the wavelet decomposition (WD) tree algorithm to a full binary tree, offers better signal representation than WD by finding the best tree from a number of bases of the WPD. Thus, for data denoising and compression, WPD provides satisfactory preservation of feature integrity and removal of redundancy to achieve better noise reduction and higher compression with controlled degradation in data fidelity. The proposed data compression and denoising tasks are performed through selection of a suitable wavelet function, decomposition the signal up to the optimum level, determination of the best tree representation, application of the threshold to the coefficients, and reconstruction of the signal. The proposed method is evaluated using a set of simulated and real phasor measurement unit (PMU) data. Comparative results are presented with the wavelet decomposition (WD).
Assessing cognitive functioning in ALS: A focus on frontal lobe processes

Abstract Objective: It is generally acknowledged that at least 50% of individuals with amyotrophic lateral sclerosis (ALS) will exhibit cognitive deficits outside of the characteristic motor neuron involvement. However, a specific cognitive profile has been difficult to ascertain due to disease-related testing barriers and limitations in the sensitivity and specificity of available assessment methods. This study assessed the level of functioning of extramotor frontal cognitive processes in ALS, and the amount of change in the functioning in these processes over time as disease progresses. Methods: Empirical tests validated for a model of frontal lobe functioning were modified into an assessment battery appropriate for individuals with ALS in a clinical setting (the ALS-CFB, Computerised Frontal Battery). Twenty ALS participants and 36 age- and education-matched neurologically healthy controls were tested, and a sub-sample of each group (11 ALS and 20 controls) re-tested after approximately nine months. Results and conclusions: Compared to standard neuropsychological screening tests that did not show a difference between ALS participants and healthy controls, the ALS-CFB illustrated a profile of extramotor frontal dysfunction involving energisation (preparing the neural system to respond) and executive functions, a profile that may be indicative of the nature of neurodegeneration in ALS.
Lyn, Lupus, and (B) Lymphocytes, a Lesson on the Critical Balance of Kinase Signaling in Immunity

Systemic lupus erythematosus (SLE) is a progressive autoimmune disease characterized by increased sensitivity to self-antigens, auto-antibody production, and systemic inflammation. B cells have been implicated in disease progression and as such represent an attractive therapeutic target. Lyn is a Src family tyrosine kinase that plays a major role in regulating signaling pathways within B cells as well as other hematopoietic cells. Its role in initiating negative signaling cascades is especially critical as exemplified by Lyn−/− mice developing an SLE-like disease with plasma cell hyperplasia, underscoring the importance of tightly regulating signaling within B cells. This review highlights recent advances in our understanding of the function of the Src family tyrosine kinase Lyn in B lymphocytes and its contribution to positive and negative signaling pathways that are dysregulated in autoimmunity.
Intracellular Angiotensin‐II Interacts With Nuclear Angiotensin Receptors in Cardiac Fibroblasts and Regulates RNA Synthesis, Cell Proliferation, and Collagen Secretion

Background Cardiac fibroblasts play important functional and pathophysiological roles. Intracellular (“intracrine”) angiotensin‐II (Ang‐II) signaling regulates intercellular communication, excitability, and gene expression in cardiomyocytes; however, the existence and role of intracrine Ang‐II signaling in cardiac fibroblasts is unstudied. Here, we evaluated the localization of Ang‐II receptors on atrial fibroblast nuclei and associated intracrine effects of potential functional significance. Methods and Results Immunoblots of subcellular protein‐fractions from isolated canine atrial fibroblasts indicated the presence of nuclear Ang‐II type 1 receptors (AT1Rs) and Ang‐II type 2 receptors (AT2Rs). Fluorescein isothiocyanate–Ang‐II binding displaceable by AT1R‐ and AT2R‐blockers was present on isolated fibroblast nuclei. G‐protein subunits, including Gαq/11, Gαi/3, and Gβ, were observed in purified fibroblast nuclear fractions by immunoblotting and intact‐fibroblast nuclei by confocal immunocytofluorescence microscopy. Nuclear AT1Rs and AT2Rs regulated de novo RNA synthesis ([α32P]UTP incorporation) via IP3R‐ and NO‐dependent pathways, respectively. In intact cultured fibroblasts, intracellular Ang‐II release by photolysis of a membrane‐permeable caged Ang‐II analog led to IP3R‐dependent nucleoplasmic Ca2+‐liberation, with IP3R3 being the predominant nuclear isoform. Intracellular Ang‐II regulated fibroblast proliferation ([3H]thymidine incorporation), collagen‐1A1 mRNA‐expression, and collagen secretion. Intracellular Ang‐II and nuclear AT1R protein levels were significantly increased in a heart failure model in which atrial fibrosis underlies atrial fibrillation. Conclusions Fibroblast nuclei possess AT1R and AT2R binding sites that are coupled to intranuclear Ca2+‐mobilization and NO liberation, respectively. Intracellular Ang‐II signaling regulates fibroblast proliferation, collagen gene expression, and collagen secretion. Heart failure upregulates Ang‐II intracrine signaling‐components in atrial fibroblasts. These results show for the first time that nuclear angiotensin‐II receptor activation and intracrine Ang‐II signaling control fibroblast function and may have pathophysiological significance.
Age and Unplanned Postoperative Visits Predict Outcome after Septoplasty: A National Swedish Register Study

Objective To study predictors of symptom relief six months after septoplasty using data from the Swedish National Septoplasty Register. Participants This is a retrospective register study of adult patients undergoing septoplasty in Sweden in 2003–2012. Outcome Relief of nasal symptoms was analysed in relation to age, gender, size of hospital performing the surgery, addition of turbinoplasty, and unplanned postoperative visits to the hospital due to pain, bleeding, or infection. Results In all, 76% of the patients (n = 5,865) rated their symptoms as “almost gone” or “gone” six months after septoplasty. With every 10-year increase in the age of the patients, the OR was 1.19, 95% CI 1.15–1.23, for a better result and 1.54, 95% CI 1.38–1.71, if the septoplasty was performed at a county hospital versus a university hospital. If there was no unplanned postoperative visit due to pain, bleeding, or infection, the OR for a better result was 1.6, 95% CI 1.39–1.85. Conclusion In this large national cohort of septoplasties, most of the patients felt that their symptoms had gone or almost gone six months after septoplasty. Higher age, surgery at smaller hospitals, and no unplanned visits to the hospital postoperatively predicted a better outcome.
Cognitive screening tools for primary care settings: examining the ‘Test Your Memory’ and ‘General Practitioner assessment of Cognition’ tools in a rural aging population in Greece

Abstract Background: Under conditions of high demand for primary care services in a setting of low financial resources, there is need for brief, easily administered cognitive screening tools for use in the primary care setting, especially in rural areas. However, interpretation of these cognitive tests’ results requires knowledge on their susceptibility to cultural, educational and demographic patient characteristics. Objectives: To assess the clinical validity of the ‘Test Your Memory’ (TYM) and ‘General Practitioner assessment of Cognition’ (GPCog) which was specifically designed for primary care practice, in a rural primary care setting in Greece, utilizing the ‘Mini Mental State Examination’ (MMSE) as a reference standard. Methods: The MMSE, TYM, and GPCog were administered to a random sample of 319 community dwelling Greek adults aged 60 to 89 years in 11 rural Primary Healthcare Centres of the Prefecture of Heraklion on the island of Crete, Greece. Analyses examined (a) The association of each instrument with demographic factors and MMSE and (b) optimal cut-off scores, sensitivity and specificity against MMSE-based cognitive impairment risk using ROC analyses with the MMSE 23/24 point cut-off as a reference standard. Results: We found a sensitivity of 80% and a specificity of 77% for TYM (35/36 or 38/39 cut-off, depending on education). Corresponding values were 89% and 61% for GPCog (7/8 cut-off), respectively. Conclusion: The TYM and GPCog instruments appear to be suitable for routine use in the primary care setting as tools for cognitive impairment risk detection in elderly rural populations.