Miracle-dz/UniFAR-FTUs huggingface dataset:
A Study of Transportability of an Existing Smoking Status Detection Module across Institutions

Electronic Medical Records (EMRs) are valuable resources for clinical observational studies. Smoking status of a patient is one of the key factors for many diseases, but it is often embedded in narrative text. Natural language processing (NLP) systems have been developed for this specific task, such as the smoking status detection module in the clinical Text Analysis and Knowledge Extraction System (cTAKES). This study examined transportability of the smoking module in cTAKES on the Vanderbilt University Hospital's EMR data. Our evaluation demonstrated that modest effort of change is necessary to achieve desirable performance. We modified the system by filtering notes, annotating new data for training the machine learning classifier, and adding rules to the rule-based classifiers. Our results showed that the customized module achieved significantly higher F-measures at all levels of classification (i.e., sentence, document, patient) compared to the direct application of the cTAKES module to the Vanderbilt data.
Genomics of Cardiovascular Measures of Autonomic Tone

Abstract: The autonomic nervous system exerts broad control over the involuntary functions of the human body through complex equilibrium between sympathetic and parasympathetic tone. Imbalance in this equilibrium is associated with a multitude of cardiovascular outcomes, including mortality. The cardiovascular static state of this equilibrium can be quantified using physiological parameters such as heart rate (HR), blood pressure, and by spectral analysis of HR variability. Here, we review the current state of knowledge of the genetic background of cardiovascular measurements of autonomic tone. For most parameters of autonomic tone, a large portion of variability is explained by genetic heritability. Many of the static parameters of autonomic tone have also been studied through candidate-gene approach, yielding some insight into how genotypes of adrenergic receptors affect variables such as HR. Genome-wide approaches in large cohorts similarly exist for static variables such as HR and blood pressure but less is known about the genetic background of the dynamic and more specific measurements, such as HR variability. Furthermore, because most autonomic measures are likely polygenic, pathway analyses and modeling of polygenic effects are critical. Future work will hopefully explain the control of autonomic tone and guide individualized therapeutic interventions.
Dietary score and the risk of oral cancer: a case-control study in southeast China

This study aims to develop a simple dietary score to comprehensively evaluate the role of diet in the risk of oral cancer. A case-control study including 930 oral cancer cases and 2667 frequency-matched controls was performed in Fujian, China. Unconditional logistic regression model was used to estimate the effects of dietary factors on oral cancer. After adjustment for potential confounders, less intake of domestic meat (< 3 times per week), fish (< 3 times per week), seafood (< 3 times per week), leafy vegetables (< 1 time per day), other vegetables (< 1 time per day), fruits (< 3 times per week), milk and dairy products (< 1 time per week) and eggs (< 5 times per week) were significant risk factors for oral cancer. Then these variables were incorporated to establish dietary risk score. Assessed by the receiver operating characteristic curve, the score showed a satisfactory discriminatory capacity, with an area under the curve of 0.682 (95% CI: 0.662–0.702). Moreover, the score was positively associated with the risk of oral cancer as quartiles, and the association was apparently stronger in tobacco smokers or alcohol drinkers. Additionally, there were significant multiplicative interactions between the score and tobacco smoking or alcohol drinking for oral cancer. In the present study, a convenient dietary score with satisfactory discriminatory capacity was developed to assess the collected effect of dietary factors on oral cancer, which could provide a new strategy for the prevention of oral cancer through changing in dietary habits.
Attention Deficit Hyperactivity Disorder: Is There an App for That? Suitability Assessment of Apps for Children and Young People With ADHD

Background Attention-deficit/hyperactivity disorder (ADHD) is a complex highly comorbid disorder, which can have a huge impact on those with ADHD, their family, and the community around them. ADHD is currently managed using pharmacological and nonpharmacological interventions. However, with advances in technology and an increase in the use of mobile apps, managing ADHD can be augmented using apps specifically designed for this population. However, little is known regarding the suitability and usability of currently available apps. Objective The aim of this study was to explore the suitability of the top 10 listed apps for children and young people with ADHD and clinicians who work with them. It is hypothesized that mobile apps designed for this population could be more suitably designed for this population. Methods The top 10 listed apps that are specifically targeted toward children and young people with ADHD in the United Kingdom were identified via the Google Play (n=5) and iTunes store (n=5). Interviews were then undertaken with 5 clinicians who specialize in treating this population and 5 children and young people with ADHD themselves, to explore their opinions of the 10 apps identified and what they believe the key components are for apps to be suitable for this population. Results Five themes emerged from clinician and young people interviews: the accessibility of the technology, the importance of relating to apps, addressing ADHD symptoms and related difficulties, age appropriateness, and app interaction. Three additional themes emerged from the clinician interviews alone: monitoring symptoms, side effects and app effect on relationships, and the impact of common comorbid conditions. The characteristics of the apps did not appear to match well with the views of our sample. Conclusions These findings suggest that the apps may not be suitable in meeting the complex needs associated with this condition. Further research is required to explore the value of apps for children and young people with ADHD and their families and, in particular, any positive role for apps in the management of ADHD in this age group. A systematic review on how technology can be used to engage this population and how it can be used to help them would be a useful way forward. This could be the platform to begin exploring the use of apps further.
Incidence and prevalence of idiopathic inflammatory myopathies in Sweden: a nationwide population-based study

Objectives To estimate the incidence rate and prevalence of idiopathic inflammatory myopathies (IIMs) in Sweden across clinical subgroups, age, sex, educational level and place of residence and to assess the robustness of register-based case definitions. Methods IIM was identified from the Swedish National Patient Register and the Swedish Rheumatology Quality Register. The base case definition required ⩾2 visits indicating IIM (first ever with a consecutive visit within 1-12 months for incident cases) and the robustness was tested by applying a more liberal and a stricter definition. Results Using the base case definition, 558 incident IIM patients were identified between 2007 and 2011. The incidence was estimated to 11 (13 for women and 9.7 for men) per 1 000 000 person years and was stable across case definitions. Incidence increased with age and peaked at the 50-79 years age groups. No differences were observed between different levels of education and place of residence. We identified 1267 IIM patients on 1 January 2012 corresponding to a prevalence of 14 per 100 000. Conclusion We present nationwide register-based incidence and prevalence estimates for IIM, robust across three different case definitions. In contrast to many other reports, we did not find incidence by age to be bimodal and we found no explanation of incidence variation across education and residency. These register-based case definitions can be included in future population-based studies to better understand disease aetiology, risk factors and comorbidities.
Combination of Real-Value Smell and Metaphor Expression Aids Yeast Detection

Background Smell provides important information about the quality of food and drink. Most well-known for their expertise in wine tasting, sommeliers sniff out the aroma of wine and describe them using beautiful metaphors. In contrast, electronic noses, devices that mimic our olfactory recognition system, also detect smells using their sensors but describe them using electronic signals. These devices have been used to judge the freshness of food or detect the presence of pathogenic microorganisms. However, unlike information from gas chromatography, it is difficult to compare odour information collected by these devices because they are made for smelling specific smells and their data are relative intensities. Methodology Here, we demonstrate the use of an absolute-value description method using known smell metaphors, and early detection of yeast using the method. Conclusions This technique may help distinguishing microbial-contamination of food products earlier, or improvement of the food-product qualities.
Handling uncertain labels in multiclass problems using belief decision trees

This paper investigates the induction of decision trees based on the theory of belief functions. This framework allows to handle training examples whose labeling is uncertain or imprecise. A former proposal to build decision trees for twoclass problems is extended to multiple classes. The method consists in combining trees obtained from various two-class coarsenings of the initial frame.
Review: Pharmacogenetics of alcoholism treatment: Implications of ethnic diversity.

BACKGROUND AND OBJECTIVES Pharmacogenetic studies of alcohol use disorder (AUD) have suggested that the efficacy of treatments for AUD is, in part, influenced by the genetic background of an individual. Since the frequency of alleles associated with pharmacotherapy for AUD varies by ancestral background, the effectiveness of medications used to treat AUD may vary among different populations. The purpose of this review is to summarize the existing pharmacogenetic studies of treatments for AUD in individuals of European, East Asian, African, and American Indian/Alaska Native ancestry. METHODS Electronic databases were searched for pharmacogenetic studies of AUD treatment that included individuals of diverse ancestral backgrounds. RESULTS Pharmacogenetic studies of AUD reviewed here have primarily investigated genetic variation thought to play a role in the response to naltrexone, ondansetron, and topiramate. There is support that the A118G polymorphism should be further investigated in individuals of East Asian ancestry. DISCUSSION AND CONCLUSIONS Given the lack of pharmacogenetic research on response to AUD medication in ethnic minority populations and the mixed results, there is a critical need for future studies among individuals of different ancestries. More efforts should be devoted to standardizing procedures such that results can be more readily integrated into a body of literature that can directly inform clinical practice. SCIENTIFIC SIGNIFICANCE This review highlights the importance for future research to aim for inclusiveness in pharmacogenetic studies of AUD and increase diversity of clinical trials in order to provide the best treatment outcomes for individuals across different racial and ethnic groups. (Am J Addict 2017;26:516-525).
Clinical Marker of Platelet Hyperreactivity in Diabetes Mellitus

Atherothrombotic complications are important causes of morbidity and mortality in diabetic patients. Diabetes has been considered to be a prothrombotic status. Several factors contribute to the prothrombotic condition, such as increasing coagulation, impaired fibrinolysis, endothelial dysfunction, and platelet hyperreactivity. Among the factors that contribute to the prothrombotic status in diabetes, altered platelet function plays a crucial role. Although understanding platelet function abnormalities in diabetes still remains as a challenge, more attention should be focused on platelet function for effective management and the prediction of atherothrombotic events in diabetic patients. This review will provide an overview on the current status of knowledge of platelet function abnormalities and clinical marker of platelet hyperreactivity in patients with diabetes.
Association of Neighborhood Socioeconomic Status With Risk of Infection and Sepsis

Background Prior studies suggest disparities in sepsis risk and outcomes based on place of residence. We sought to examine the association between neighborhood socioeconomic status (nSES) and hospitalization for infection and sepsis. Methods We conducted a prospective cohort study using data from 30239 participants in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study. nSES was defined using a score derived from census data and classified into quartiles. Infection and sepsis hospitalizations were identified over the period 2003-2012. We fit Cox proportional hazards models, reporting hazard ratios (HRs) with 95% confidence intervals (CIs) and examining mediation by participant characteristics. Results Over a median follow-up of 6.5 years, there were 3054 hospitalizations for serious infection. Infection incidence was lower for participants in the highest nSES quartile compared with the lowest quartile (11.7 vs 15.6 per 1000 person-years). After adjustment for demographics, comorbidities, and functional status, infection hazards were also lower for the highest quartile (HR, 0.84 [95% CI, .73-.97]), with a linear trend (P = .011). However, there was no association between nSES and sepsis at presentation among those hospitalized with infection. Physical weakness, income, and diabetes had modest mediating effects on the association of nSES with infection. Conclusions Our study shows that differential infection risk may explain nSES disparities in sepsis incidence, as higher nSES is associated with lower infection hospitalization rates, but there is no association with sepsis among those hospitalized. Mediation analysis showed that nSES may influence infection hospitalization risk at least partially through physical weakness, individual income, and comorbid diabetes.
Outage performance of decode-and-forward (DF)-based multiuser spectrum sharing relay system with direct link in the presence of primary users' power

This study investigates outage probability (OP) of a generalised decode-and-forward-based multiuser spectrum sharing relay system. In practice, the secondary users are exposed to the primary transmitters’ signals which can measurably affect the OP in the secondary system. In this context, analytical and asymptotic outage analysis are presented for two different relay selection techniques, namely partial relay selection (PRS) and opportunistic relay selection (ORS). In terms of the ORS, deriving an exact analytical expression for the end-to-end (e-t-e) OP is contingent upon solving a very complicated integral. To resolve this problem, they propose a simple modification under which the OP can be obtained with preferable accuracy. Numerical simulations are presented where the excellent agreement of the simulation results with the analytical results validates the mathematical derivations and confirms that the proposed simplification is accurate. Findings suggest that the ORS has three main advantages over the PRS. First, it is more robust against the primary interference. Second, it achieves the full diversity order, whereas the PRS limits the diversity order to the number of secondary destinations plus one. Third, the gain of enhancement achieved by increasing the number of relays is significantly larger.
A Social Approach to Rule Dynamics Using an Agent-Based Model

A well-trod debate at the nexus of cognitive science and linguistics, the so-called past tense debate, has examined how rules and exceptions are individually acquired (McClelland & Patterson, ; Pinker & Ullman, ). However, this debate focuses primarily on individual mechanisms in learning, saying little about how rules and exceptions function from a sociolinguistic perspective. To remedy this, we use agent-based models to examine how rules and exceptions function across populations. We expand on earlier work by considering how repeated interaction and cultural transmission across speakers affects the dynamics of rules and exceptions in language, measuring linguistic outcomes within a social system rather than focusing individual learning outcomes. We consider how population turnover and growth effect linguistic rule dynamics in large and small populations, showing that this method has considerable potential particularly in probing the mechanisms underlying the linguistic niche hypothesis (Lupyan & Dale, ).
Dictionary sharing: An efficient cache compression scheme for compressed caches

The effectiveness of a compressed cache depends on three features: i) the compression scheme, ii) the compaction scheme, and iii) the cache layout of the compressed cache. Skewed compressed cache (SCC) and yet another compressed cache (YACC) are two recently proposed compressed cache layouts that feature minimal storage and latency overheads, while achieving comparable performance over more complex compressed cache layouts. Both SCC and YACC use compression techniques to compress individual cache blocks, and then a compaction technique to compact multiple contiguous compressed blocks into a single data entry. The primary attribute used by these techniques for compaction is the compression factor of the cache blocks, and in this process, they waste cache space. In this paper, we propose dictionary sharing (DISH), a dictionary based cache compression scheme that reduces this wastage. DISH compresses a cache block by keeping in mind that the block is a potential candidate for the compaction process. DISH encodes a cache block with a dictionary that stores the distinct 4-byte chunks of a cache block and the dictionary is shared among multiple neighboring cache blocks. The simple encoding scheme of DISH also provides a single cycle decompression latency and it does not change the cache layout of compressed caches. Compressed cache layouts that use DISH outperforms the compression schemes, such as BDI and CPACK+Z, in terms of compression ratio (from 1.7X to 2.3X), system performance (from 7.2% to 14.3%), and energy efficiency (from 6% to 16%).
Texture classification of anatomical structures in CT using a context-free machine learning approach

Medical images contain a large amount of visual information about structures and anomalies in the human body. To make sense of this information, human interpretation is often essential. On the other hand, computer-based approaches can exploit information contained in the images by numerically measuring and quantifying specific visual features. Annotation of organs and other anatomical regions is an important step before computing numerical features on medical images. In this paper, a texture-based organ classification algorithm is presented, which can be used to reduce the time required for annotating medical images. The texture of organs is analyzed using a combination of state-of-the-art techniques: the Riesz transform and a bag of meaningful visual words. The effect of a meaningfulness transformation in the visual word space yields two important advantages that can be seen in the results. The number of descriptors is enormously reduced down to 10% of the original size, whereas classification accuracy is improved by up to 25% with respect to the baseline approach.
Research of New Certain Metrics of Network Invulnerability

-elasticity of network that measure the network invulnerability and node resilience measure the node importance are put forward in case of the great amount of calculation and the finite field of application of the existing metrics. The disadvantages of the vulnerability of node，the importance of node ,the tenacity, and the betweenness of node are point out through the comparability. The node resilience and -resilience of network of certain varies types and varies scales networks are calculated and compared, the result of the comparability and analysis is that the metrics this paper confined are effective metrics in measuring the invulnerability in aspects of the field of application and the exactness. the metrics are available in designing the network and evaluating the network invulnerability.
P2X7 Receptors Drive Spine Synapse Plasticity in the Learned Helplessness Model of Depression

Abstract Background Major depressive disorder is characterized by structural and functional abnormalities of cortical and limbic brain areas, including a decrease in spine synapse number in the dentate gyrus of the hippocampus. Recent studies highlighted that both genetic and pharmacological invalidation of the purinergic P2X7 receptor (P2rx7) leads to antidepressant-like phenotype in animal experiments; however, the impact of P2rx7 on depression-related structural changes in the hippocampus is not clarified yet. Methods Effects of genetic deletion of P2rx7s on depressive-like behavior and spine synapse density in the dentate gyrus were investigated using the learned helplessness mouse model of depression. Results We demonstrate that in wild-type animals, inescapable footshocks lead to learned helplessness behavior reflected in increased latency and number of escape failures to subsequent escapable footshocks. This behavior is accompanied with downregulation of mRNA encoding P2rx7 and decrease of spine synapse density in the dentate gyrus as determined by electron microscopic stereology. In addition, a decrease in synaptopodin but not in PSD95 and NR2B/GluN2B protein level was also observed under these conditions. Whereas the absence of P2rx7 was characterized by escape deficit, no learned helpless behavior is observed in these animals. Likewise, no decrease in spine synapse number and synaptopodin protein levels was detected in response to inescapable footshocks in P2rx7-deficient animals. Conclusion Our findings suggest the endogenous activation of P2rx7s in the learned helplessness model of depression and decreased plasticity of spine synapses in P2rx7-deficient mice might explain the resistance of these animals to repeated stressful stimuli.
Influence of Recycling Frequency on Mechanical and Physical Properties of Kenaf Fiber Reinforced Polyoxymethylene Composite

ABSTRACT The main objective of this research is to investigate the effect of compression cycles and hybridization on mechanical and physical properties of kenaf fiber reinforced POM composite. In this study, kenaf, and polyethylene terephthalate (PET) fiber were used as reinforcements due to their excellent mechanical properties and resistance to thermal degradation during recycling process. The matrix used was polyoxymethylene (POM) copolymer due to its hydrophobic characteristics and good mechanical properties. In this investigation, two formulations namely POM/kenaf, and POM/kenaf/PET hybrid composite were carefully studied. The results of the investigation revealed that the tensile strength of both POM/kenaf, and POM/kenaf/PET after first recycling process dropped by approximately 83% and 67%, respectively. The tensile strength remained consistent after second and third compression cycle. The flexural strength of both composites also dropped by nearly 50% and 53%, but remained consistent after second and third compression cycle. However, the composite resistance to water absorption significantly increased due to less voids and micro-cracks observed after recycling process. The results obtained have shown that the recycled composites retained their mechanical properties after the last two compression cycles.