Miracle-dz/UniFAR-FTUs huggingface dataset:
5 Metacognitive Dysfunction in Schizophrenia

Metacognition is the high-level cognitive function that can be defined as “any knowledge or cognitive process that refers to, monitors, or controls any aspect of cognition” [1]. This definition comes from developmental psychology based on Piaget's theories when Flavell, in the 1970’s, used the term metamemory in regard to an individual's ability to manage and monitor the input, storage, search and retrieval of the contents of his own memory [2]. Nowadays two areas of cognitive science are included under the umbrella concept of metacognition: the knowledge of cognition (metarepresentation) and the cognitive control of the cognitive processes (executive function).
Determinants of quality of life in adults with CHD: an Australian cohort*

Abstract Background Following improved survival rates in children with CHD, their quality of life and its determinants have become increasingly important. As part of a multicentre study entitled “Assessment of Patterns of Patient-Reported Outcomes in Adults with Congenital Heart Disease – International Study”, this article reviews the relationships among quality of life, anxiety and depression, sense of coherence, and severity of disease in an Australian cohort of adults with CHD. Methods and results Adults with CHD were recruited from a single, community-based cardiology practice. All patients completed a self-reported questionnaire. A total of 135 patients, 71 males and 64 females, were recruited with a mean age of 26 years. The median quality of life in this cohort was 90; one-fifth of the patients experienced symptoms of anxiety. There was a significant negative correlation between quality of life and symptoms of anxiety and depression and a positive correlation between quality of life and sense of coherence. Conclusions The quality of life of this cohort was generally excellent; however, one-fifth of them experienced symptoms of anxiety. Those with less anxiety and depression symptoms appeared to have a better quality of life, as did those who reported a higher sense of coherence. Interestingly, there was no significant relationship between complexity of CHD and quality of life.
Fast Online Exact Solutions for Deterministic MDPs with Sparse Rewards

Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision making under uncertainty. The classical approaches for solving MDPs are well known and have been widely studied, some of which rely on approximation techniques to solve MDPs with large state space and/or action space. However, most of these classical solution approaches and their approximation techniques still take much computation time to converge and usually must be re-computed if the reward function is changed. This paper introduces a novel alternative approach for exactly and efficiently solving deterministic, continuous MDPs with sparse reward sources. When the environment is such that the "distance" between states can be determined in constant time, e.g. grid world, our algorithm offers $O( |R|^2 \times |A|^2 \times |S|)$, where $|R|$ is the number of reward sources, $|A|$ is the number of actions, and $|S|$ is the number of states. Memory complexity for the algorithm is $O( |S| + |R| \times |A|)$. This new approach opens new avenues for boosting computational performance for certain classes of MDPs and is of tremendous value for MDP applications such as robotics and unmanned systems. This paper describes the algorithm and presents numerical experiment results to demonstrate its powerful computational performance. We also provide rigorous mathematical description of the approach.
Strategic Complexity and the Value of Thinking

We leverage response-time data from repeated strategic interactions to measure the strategic complexity of a situation by how long people think on average when they face that situation (where we categorize situations according to characteristics of play in the previous round). We find that strategic complexity varies significantly across situations, and we find considerable heterogeneity in how responsive subjects’ thinking times are to complexity. We also study how variation in response times at the individual level affects success: when a subject thinks for longer than she would normally do in a particular situation, she wins less frequently and earns less.
Economic Evaluation of a Home-Based Age-Related Macular Degeneration Monitoring System

Background Medicare recently approved coverage of home telemonitoring for early detection of incident choroidal neovascularization (CNV) among patients with age-related macular degeneration (AMD), but no economic evaluation has yet assessed its cost-effectiveness and budgetary impact. Objectives To evaluate a home-based daily visual-field monitoring system using simulation methods and to apply the findings of the Home Monitoring of the Eye study to the US population at high risk for wet-form AMD. Design, Setting, and Participants In this economic analysis, an evaluation of the potential cost, cost-effectiveness, and government budgetary impact of adoption of a home-based daily visual-field monitoring system among eligible Medicare patients was performed. Effectiveness and visual outcomes data from the Age-Related Eye Disease Study 2 Home Monitoring of the Eye study, treatment data from the Wills Eye Hospital Treat & Extend study, and AMD progression data from the Age-Related Eye Disease Study 1 were used to simulate the long-term effects of telemonitoring patients with CNV in one eye or large drusen and/or pigment abnormalities in both eyes. Univariate and probabilistic sensitivity analysis and an alternative scenario using the Treat & Extend study control group outcomes were used to examine uncertainty in these data and assumptions. Interventions Home telemonitoring of patients with AMD for early detection of CNV vs usual care. Main Outcomes and Measures Incremental cost-effectiveness ratio, net present value of lifetime societal costs, and 10-year nominal government expenditures. Result Telemonitoring of patients with existing unilateral CNV or multiple bilateral risk factors for CNV (large drusen and retinal pigment abnormalities) incurs $907 (95% CI, −$6302 to $2809) in net lifetime societal costs, costs $1312 (95% CI, $222-$2848) per patient during 10 years from the federal government’s perspective, and results in an incremental cost-effectiveness ratio of $35 663 (95% CI, cost savings to $235 613) per quality-adjusted life-year gained. Conclusions and Relevance Home telemonitoring of patients with AMD who are at risk for CNV was cost-effective compared with scheduled examinations alone. Monitoring patients with existing CNV in one eye is cost saving, but monitoring is generally not cost-effective among patients with low risk of CNV, including those with no or few risk factors. With Medicare coverage, monitoring incurs budgetary expenditures for the government but is cost-saving for patients at high risk of AMD. Monitoring could be cost saving to society if monitoring reduced the frequency of scheduled examinations or led to a reduction of one or more injections of ranibizumab.
Nutritional Characterization of Combretum dolichopentalum Leaves

The nutritional value of Combretum dolichopentalum was determined by its proximate, mineral, amino acids and vitamin compositions. The macronutrients such as protein, lipid, moisture, fibre, ash were in varying concentration with carbohydrate recording the highest concentration (63.35 ± 4.93%). Elements present were potassium, sodium, phosphorus and iron amongst others. Vitamins A, E and B-vitamins, such as riboflavin, pyridoxine, folate, and biotin, were recorded, with niacin (2.26 ± 0.07 mg/ml) showing the highest concentrations. Leucine and glutamate were the highest essential and non essential amino acids respectively. Total aliphatic amino acid (TAAA) and Sulphur containing amino acid were recorded as 20.38 g/100 g and1.7 g/100 g respectively. The result showed that C. dolichopentalum possess nutritional potentials for energy metabolism and vital nutrients to maintain a state of desirable nutrition that could enhance the curative process of diseased conditions and maintenance of disrupted homeostatic status.
The Link B etween Image Segmentation and Image Recognition

A long standing debate in computer vision community concerns the link between segmentation and recognition. The question I am trying to answer here is, Does image segmentation as a preprocessing step help image recognition? In spite of a plethora of the literature to the contrary, some authors have suggested that recognition driven by high quality segmentation is the most promising approach in image recognition because the recognition system will see only the relevant features on the object and not see redundant features outside the object (Malisiewicz and Efros 2007; Rabinovich, Vedaldi, and Belongie 2007). This thesis explores the following question: If segmentation precedes recognition, and segments are directly fed to the recognition engine, will it help the recognition machinery? Another question I am trying to address in this thesis is of scalability of recognition systems. Any computer vision system, concept or an algorithm, without exception, if it is to stand the test of time, will have to address the issue of scalability. ACKNOWLEDGEMENTS Thanks to Prof. Melanie Mitchell for her patience, advising and support during the course of my research in the Learning and Adaptive Systems lab. Her comments and advice were extremely useful in directing my research and writing. Thanks to Dr. Bart Massey and Dr. Feng Liu for being the members of my committee and for providing support and advice whenever necessary. Thanks to Mick Thomure for his HMAX implementation code and for his assistance in helping me conduct HMAX related experiments. Thanks to Carolina Galleguillos, University of California, San Diego and Andrew Rabinovich, Google, for their stability based segmentation code. Thanks to Chris Goughnour, Math department, PSU for his exceptional system administration skills and the discussions that were very useful. Thanks to Tomasz Malisiewicz, MIT for his useful advice at the critical moments. TABLE OF CONTENTS Page ACKNOWLEDGEMENTS . # LIST OF TABLES . # LIST OF FIGURES . # CHAPTER
Lower likelihood of cardiac procedures after acute coronary syndrome in patients with human immunodeficiency virus/acquired immunodeficiency syndrome

Abstract Cardiovascular disease (CVD) is an increasing cause of morbidity and mortality in human immunodeficiency virus (HIV)-infected adults; however, this population may be less likely to receive interventions during hospitalization for acute coronary syndrome (ACS). The degree to which this disparity can be attributed to poorly controlled HIV infection is unknown. In this large cohort study, we used the National Inpatient Sample (NIS) to compare rates of cardiac procedures among patients with asymptomatic HIV-infection, symptomatic acquired immunodeficiency syndrome (AIDS), and uninfected adults hospitalized with ACS from 2009 to 2012. Multivariable analysis was used to compare procedure rates by HIV status, with appropriate weighting to account for NIS sampling design including stratification and hospital clustering. The dataset included 1,091,759 ACS hospitalizations, 0.35% of which (n = 3783) were in HIV-infected patients. Patients with symptomatic AIDS, asymptomatic HIV, and uninfected patients differed by sex, race, and income status. Overall rates of cardiac catheterization and revascularization were 53.3% and 37.4%, respectively. In multivariable regression, we found that relative to uninfected patients, those with symptomatic AIDS were less likely to undergo catheterization (odds ratio [OR] 0.48, confidence interval [CI] 0.43–0.55), percutaneous coronary intervention (OR 0.69, CI 0.59–0.79), and coronary artery bypass grafting (0.75, CI 0.61–0.93). No difference was seen for those with asymptomatic HIV relative to uninfected patients (OR 0.93, CI 0.81–1.07; OR 1.06, CI 0.93–1.21; OR 0.88, CI 0.72–1.06, respectively). We found that lower rates of cardiovascular procedures in HIV-infected patients were primarily driven by less frequent procedures in those with AIDS.
Candidatus Desulfofervidus auxilii, a hydrogenotrophic sulfate-reducing bacterium involved in the thermophilic anaerobic oxidation of methane.

The anaerobic oxidation of methane (AOM) is mediated by consortia of anaerobic methane-oxidizing archaea (ANME) and their specific partner bacteria. In thermophilic AOM consortia enriched from Guaymas Basin, members of the ANME-1 clade are associated with bacteria of the HotSeep-1 cluster, which likely perform direct electron exchange via nanowires. The partner bacterium was enriched with hydrogen as sole electron donor and sulfate as electron acceptor. Based on phylogenetic, genomic and metabolic characteristics we propose to name this chemolithoautotrophic sulfate reducer Candidatus Desulfofervidus auxilii. Ca. D. auxilii grows on hydrogen at temperatures between 50°C and 70°C with an activity optimum at 60°C and doubling time of 4-6 days. Its genome draft encodes for canonical sulfate reduction, periplasmic and soluble hydrogenases and autotrophic carbon fixation via the reductive tricarboxylic acid cycle. The presence of genes for pili formation and cytochromes, and their similarity to genes of Geobacter spp. , indicate a potential for syntrophic growth via direct interspecies electron transfer when the organism grows in consortia with ANME. This first ANME-free enrichment of an AOM partner bacterium and its characterization opens the perspective for a deeper understanding of syntrophy in anaerobic methane oxidation.
Phloem Sap Sampling from Brassica napus for 3D-PAGE of Protein and Ribonucleoprotein Complexes

Sampling the phloem of higher plants is often laborious and significantly dependent on the plant species. However, proteome studies under denaturing conditions could be achieved in different plant species. Native protein:protein and protein:nucleic acid complexes from phloem samples have as yet scarcely been analyzed, although they might play important roles in maintenance of this specialized compartment or in long-distance signaling. Large molecular assemblies can be isolated using a blue native gel electrophoresis (BN-PAGE). Their protein components can be separated by a subsequent sodium dodecyl sulfate PAGE (SDS-PAGE). However, proteins with similar molecular weights co-migrate, what can hinder protein identification by mass spectrometry. Combining BN-PAGE with two different denaturing gel electrophoresis steps, namely Tris-Tricine-urea and SDS-PAGE, enables the additional separation of proteins according to their hydrophilicity/hydrophobicity and thus increases resolution and the success of protein identification. It even allows distinguishing proteins that only differ in their posttranslational modifications. In addition, blue native northern blotting can be applied to identify the RNA components in macromolecular complexes. We show that our protocol is suitable to unravel the protein and RNA components of native protein:protein and ribonucleoprotein (RNP) complexes occurring in phloem samples. Combining a blue native PAGE with two different denaturing PAGE steps can help to separate different kinds of large protein complexes, and also enables an increased identification rate of their components by mass spectrometry. Furthermore, the protocol is robust enough to simultaneously detect potentially bound nucleic acids within single protein complexes.
Narrative review of contemporary treatment options in the care of patients with obstructive sleep apnoea

Snoring and obstructive sleep apnoea (OSA) are increasingly common conditions, and confer a significant health and socioeconomic burden. Furthermore, untreated OSA represents a significant mortality risk. Patients require careful assessment, including detailed clinical history and examination, sleep study and drug-induced sleep endoscopy (DISE). Although nasal continuous positive airway pressure (nCPAP) is the gold standard treatment for moderate and severe OSA, multidisciplinary team assessment is often required to develop the best treatment plan for an individual, especially when nasal CPAP is poorly tolerated. There is a wide range of medical and surgical treatment options, and following appropriate patient selection and assessment, a focused site-specific, often multilevel, intervention is indicated. There is an increasing body of evidence in the literature supporting these multilevel interventions and with agreement on standardized outcome measures more trials are likely to improve the robustness of these data further.
A virtual 3D interactive painting method for Chinese calligraphy and painting based on real-time force feedback technology

A novel 3D interactive painting method for Chinese calligraphy and painting based on force feedback technology is proposed. The relationship between the force exerted on the brush and the resulting brush deformation is analyzed and a spring-mass model is used to build a model of the 3D Chinese brush. The 2D brush footprint between the brush and the plane of the paper or object is calculated according to the deformation of the 3D brush when force is exerted on the 3D brush. Then the 3D brush footprint is obtained by projecting the 2D brush footprint onto the surface of the 3D object in real time, and a complete 3D brushstroke is obtained by superimposing 3D brush footprints along the painting direction. The proposed method has been successfully applied in a virtual 3D interactive drawing system based on force feedback technology. In this system, users can paint 3D brushstrokes in real time with a Phantom Desktop haptic device, which can effectively serve as a virtual reality interface to the simulated painting environment for users.
Bidirectional Prospective Associations Between Cardiac Autonomic Activity and Inflammatory Markers

Objective Autonomic nervous system (ANS) imbalance has been cross-sectionally associated with inflammatory processes. Longitudinal studies are needed to shed light on the nature of this relationship. We examined cross-sectional and bidirectional prospective associations between cardiac autonomic measures and inflammatory markers. Methods Analyses were conducted with baseline (n = 2823), 2-year (n = 2099), and 6-year (n = 1774) data from the Netherlands Study of Depression and Anxiety. To compare the pattern of results, prospective analyses with ANS (during sleep, leisure time, and work) and inflammation were conducted in two data sets from the Netherlands Twin Register measured for 4.9 years (n = 356) and 5.4 years (n = 472). Autonomic nervous system measures were heart rate (HR) and respiratory sinus arrhythmia (RSA). Inflammatory markers were C-reactive protein (CRP) and interleukin (IL)-6. Results The Netherlands Study of Depression and Anxiety results showed that higher HR and lower RSA were cross-sectionally significantly associated with higher inflammatory levels. Higher HR predicted higher levels of CRP (B = .065, p < .001) and IL-6 (B = .036, p = .014) at follow-up. Higher CRP levels predicted lower RSA (B = −.024, p = .048) at follow-up. The Netherlands Twin Register results confirmed that higher HR was associated with higher CRP and IL-6 levels 4.9 years later. Higher IL-6 levels predicted higher HR and lower RSA at follow-up. Conclusions Autonomic imbalance is associated with higher levels of inflammation. Independent data from two studies converge in evidence that higher HR predicts subsequent higher levels of CRP and IL-6. Inflammatory markers may also predict future ANS activity, but evidence for this was less consistent.
SPAR: small RNA-seq portal for analysis of sequencing experiments

Abstract The introduction of new high-throughput small RNA sequencing protocols that generate large-scale genomics datasets along with increasing evidence of the significant regulatory roles of small non-coding RNAs (sncRNAs) have highlighted the urgent need for tools to analyze and interpret large amounts of small RNA sequencing data. However, it remains challenging to systematically and comprehensively discover and characterize sncRNA genes and specifically-processed sncRNA products from these datasets. To fill this gap, we present Small RNA-seq Portal for Analysis of sequencing expeRiments (SPAR), a user-friendly web server for interactive processing, analysis, annotation and visualization of small RNA sequencing data. SPAR supports sequencing data generated from various experimental protocols, including smRNA-seq, short total RNA sequencing, microRNA-seq, and single-cell small RNA-seq. Additionally, SPAR includes publicly available reference sncRNA datasets from our DASHR database and from ENCODE across 185 human tissues and cell types to produce highly informative small RNA annotations across all major small RNA types and other features such as co-localization with various genomic features, precursor transcript cleavage patterns, and conservation. SPAR allows the user to compare the input experiment against reference ENCODE/DASHR datasets. SPAR currently supports analyses of human (hg19, hg38) and mouse (mm10) sequencing data. SPAR is freely available at https://www.lisanwanglab. org/SPAR.
Diabetic Foot Ulcers and Epidermal Growth Factor: Revisiting the Local Delivery Route for a Successful Outcome

Soon after epidermal growth factor (EGF) discovery, some in vivo models appeared demonstrating its property to enhance cutaneous wound healing. EGF was the first growth factor (GF) introduced in the clinical arena as a healing enhancer, exerting its mitogenic effects on epithelial, fibroblastoid, and endothelial cells via a tyrosine kinase membrane receptor. Compelling evidences from the 90s documented that, for EGF, locally prolonged bioavailability and hourly interaction with the receptor were necessary for a successful tissue response. Eventually, the enthusiasm on the clinical use of EGF to steer the healing process was wiped out as the topical route to deliver proteins started to be questioned. The simultaneous in vivo experiments, emphasizing the impact of the parenterally administered EGF on epithelial and nonepithelial organs in terms of mitogenesis and cytoprotection, rendered the theoretical fundamentals for the injectable use of EGF and shaped the hypothesis that locally infiltrating the diabetic ulcers would lead to an effective healing. Although the diabetic chronic wounds microenvironment is hostile for local GFs bioavailability, EGF local infiltration circumvented the limitations of its topical application, thus expanding its therapeutic prospect. Our clinical pharmacovigilance and basic studies attest the significance of the GF local infiltration for chronic wounds healing.