Miracle-dz/UniFAR-FTUs huggingface dataset:
Urgent Outpatient Care Following Mental Health ED Visits: A Population-Based Study.

OBJECTIVE Follow-up after psychiatric emergency department (ED) contact is key to optimizing outcomes for vulnerable patients. We aimed to quantify the likelihood of receiving outpatient mental health care after psychiatric ED visits in a population-level sample. METHODS Among individuals who presented for a psychiatric ED visit in Ontario, Canada (2010-2012) and were not admitted to hospital (N=143,662), the authors estimated the likelihood of outpatient physician mental health care within 14 days post-ED visit and compared this across presenting diagnoses. RESULTS About 40.2% (N=57,797) had a follow-up mental health visit within 14 days post-ED. Follow-up was lower among individuals presenting with substance use disorders (25.2%) than among those presenting with disorders not primarily related to substance use (44.5%) (χ2=3,784.7, df=1, p<0.001). Follow-up differed among those presenting with schizophrenia (46.4%), bipolar disorder (56.1%), and major depressive disorder (51.1%) (χ2=61.7, df=2, p<0.001). CONCLUSIONS Post-ED outpatient mental health follow-up is low. Systemwide coordination is needed to connect these high-acuity patients with care, especially those with presentations related to substance use.
Immersive Virtual Reality and Persons with Dementia: A Literature Review

ABSTRACT Dementia of any type is incurable and treatment is primarily focused on slowing its progression and managing symptoms, typically accomplished through a combination of medication and lifestyle factors. Social workers are uniquely positioned to suggest new and innovative strategies for improving the quality of life. Technology opens a variety of options, and virtual reality is one of the more recent additions to the available toolkit. This review describes the state of the literature as it relates to the use of immersive virtual reality technology with persons with dementia. One hundred fifty-eight articles were returned by keyword search, but just three of those used modern virtual reality systems. Each of the three studies found positive results in their respective uses of virtual reality with persons with dementia. VR was well tolerated by participants and engagement was high, though sample sizes were small across studies. Results demonstrated immersive VR is a viable pathway for a variety of novel interventions with this population, but more research using modern immersive devices is required. Social workers in a variety of care settings can build on these early findings and develop an array of novel palliative and leisure-time experiences for this population.
Ameliorative effects of quercetin on the preimplantation embryos development in diabetic pregnant mice

Maternal diabetes adversely retards the development of preimplantation embryos. Quercetin is a flavonoid belonging to phytoestrogens family and may be useful in treatment of reproductive disorders. The aim of this study was investigation of the ameliorative effects of quercetin administration on preimplantation embryo development in diabetic pregnancy.
A Literature Review of Racial Disparities in Overall Survival of Black Children With Acute Lymphoblastic Leukemia Compared With White Children With Acute Lymphoblastic Leukemia

Despite major advances in acute lymphoblastic leukemia [ALL] treatment, poorer overall survival (OS) persists for Black children with ALL compared with White children with ALL. The purpose of this literature review was to examine the racial disparities on OS in Black versus White children with ALL. The Cumulative Index to Nursing and Allied Health Literature (CINAHL), Medline, PubMed, and Academic Search Complete databases were searched using the Medical Subject Heading (MeSH) terms: survival or mortality or outcome AND black or African-American or AA or minority AND racial disparities or race or racial/ethnic disparities AND cancer in children or pediatric cancer or children with leukemia or children with ALL for articles published in English between January 2009 and July 2019. Exclusion criteria were non-research articles, systematic reviews, conference abstracts, editorials, commentaries, correspondence, and case reports. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, data were extracted, appraised, and synthesized. Sixteen articles met the inclusion criteria. Sample sizes across studies ranged from 184 to 31,866 participants. The factors most associated with disparities in OS included: age at diagnosis (e.g., <1 year and/or >10 years old), differences in clinical prognosticators (e.g., white blood cell count at diagnosis, T-cell vs. precursor B-cell immunophenotype, central nervous system disease status, cytogenetic profile) and lower socioeconomic status. Future prospective studies are needed to elucidate the role of these factors in OS of Black children with ALL.
Electrophysiological responses to regularity show specificity to global form: The case of Glass patterns

The holographic weight of evidence model (van der Helm & Leeuwenberg, J Math Psychol, 35, 1991, 151; van der Helm & Leeuwenberg, Psychol Rev, 103, 1996, 429) estimates that the perceptual goodness of moiré structures (Glass patterns), irrespective of their global form, is comparable to that of reflection symmetry. However, both behavioural and neuroscience evidences suggest that certain Glass forms (i.e. circular and radial structures) are perceptually more salient than others (i.e. translation structures) and may recruit different perceptual mechanisms. In this study, we tested whether brain responses for circular, radial and translation Glass patterns are comparable to the response for onefold bilateral reflection symmetry. We recorded an event‐related potential (ERP), called the sustained posterior negativity (SPN), which has been shown to index perceptual goodness of a range of regularities. We found that circular and radial Glass patterns generated a comparable SPN amplitude to onefold reflection symmetry (in line with the prediction of the holographic model), starting approx. 180 ms after stimulus onset. Conversely, the SPN response to translation Glass patterns had a longer latency (approx. 400 ms). These results show that Glass patterns are a special case of visual regularity, and perceptual goodness may not be fully explained by the holographic identities that constitute it. Specialised processing mechanisms might exist in the regularity‐sensitive extrastriate areas, which are tuned to global form configurations.
Alcohol Consumption by Beverage Type and Risk of Breast Cancer: A Dose-Response Meta-Analysis of Prospective Cohort Studies.

AIMS Alcohol intake has been shown to increase the risk of breast cancer. However, the dose-response analysis of different alcoholic beverages (spirits, wine and beer) is not clear. Our meta-analysis aims to provide a dose-response estimation between different alcohols and breast cancer risk. METHODS Search of PubMed and Web of Science and manual searches were conducted up to 1 December 2018, and summary relative risks (RRs) and attributable risk percentage (ARP) for alcohol intake on the development of breast cancer were calculated. Dose-response meta-analysis modeled relationships between drinking type and breast cancer risk. Sources of heterogeneity were explored, and sensitivity analyses were conducted to test the robustness of findings. RESULTS In total, 22 cohort studies and 45,350 breast cancer cases were included. Current drinkers for ER+ had an increased risk compared with never drinkers. In dose-response analysis, there was a statistically significant linear trend with breast cancer risk increasing gradually by total alcohol and wine dose: when adding 10 g per day, the risk increased by 10.5% (RR = 1.10, 95%CI = 1.08-1.13) in total alcohol and 8.9% (RR = 1.08, 95%CI = 1.04-1.14) in wine. For postmenopausal women, the risk increases by 11.1% (RR = 1.11, 95%CI = 1.09-1.13) with every 10 g of total alcohol increase. Furthermore, the breast cancer alcohol-attributed percentage is higher in Europe than in North America and Asia. CONCLUSIONS The effect of drinking on the incidence of breast cancer is mainly manifested in ER+ breast cancer. Quantitative analysis showed total drinking had a significant risk for breast cancer, especially for postmenopausal women. However, for different alcohols, just wine intake has the similar results.
The expression level and diagnostic value of microRNA-22 in HCC patients

Abstract Background Involvements of microRNA-22 (miR-22) in cancer have attracted much attention, but its role in diagnosis of hepatocellular carcinoma (HCC) is still largely unknown. Therefore, the aim of this study was to investigate the expression level and the prognostic value of miR-22 in HCC patients. Methods Quantitative real-time polymerase chain reaction (qRT-PCR) was performed to evaluate serum level of miR-22 in 108 HCC patients and 67 healthy controls. The relationship between miR-22 expression level and clinicopathologic characteristics was analysed via chi-square test. Receiver operating characteristic (ROC) curve was built to estimate the diagnostic value of serum miR-22 in HCC. Results miR-22 expression was significantly down-regulated in HCC compared to that in healthy controls (p < .05). And the low miR-22 expression was significantly associated with vein invasion (p = .002), TNM stage (p = .013) and high serum levels of AFP (α-fetoprotein), ALT (alanine aminotransferase), AST (aspartate aminotransferase) and ALP (alkaline phosphatase. miR-22 had a high diagnostic value with area under the curve of 0.866 corresponding with a sensitivity of 89.3% and a specificity of 68.9%, respectively. Conclusion miR-22 expression was down-regulated in HCC patients. Serum miR-22 might be a novel diagnostic marker in HCC.
Corynebacterium striatum: An emerging nosocomial pathogen.

Corynebacterium striatum is an emerging nosocomial pathogen capable of causing a variety of infections in immunocompromised and hospitalized patients. We describe three cases of infection by C. striatum that were initially considered as contamination. Clinical suspicion in the wake of predisposing factors and accurate identification, using Matrix Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS) were key to implicate this commensal bacteria as a cause of infection.
Organization at criticality enables processing of time‐varying signals by receptor networks

How cells utilize surface receptors for chemoreception is a recurrent question spanning between physics and biology over the past few decades. However, the dynamical mechanism for processing time‐varying signals is still unclear. Using dynamical systems formalism to describe criticality in non‐equilibrium systems, we propose generic principle for temporal information processing through phase space trajectories using dynamic transient memory. In contrast to short‐term memory, dynamic memory generated via “ghost” attractor enables signal integration depending on stimulus history and thereby uniquely promotes integrating and interpreting complex temporal growth factor signals. We argue that this is a generic feature of receptor networks, the first layer of the cell that senses the changing environment. Using the experimentally established epidermal growth factor sensing system, we propose how recycling could provide self‐organized maintenance of the critical receptor concentration at the plasma membrane through a simple, fluctuation‐sensing mechanism. Processing of non‐stationary signals, a feature previously attributed only to neural networks, thus uniquely emerges for receptor networks organized at criticality.
Triglyceride concentrations and non-high-density lipoprotein cholesterol goal attainment in the ODYSSEY phase 3 trials with alirocumab

Aims Guidelines recommend targeting non-high-density lipoprotein cholesterol to reduce cardiovascular risk. We assessed the impact of baseline triglycerides on non-high-density lipoprotein cholesterol goal attainment in 10 phase 3 trials with alirocumab versus control (n = 4983). Methods Trials were grouped into four pools based on alirocumab dose (75–150 mg every 2 weeks), control (placebo/ezetimibe) and statin use. Baseline triglyceride quintiles were built within each pool. Non-high-density lipoprotein cholesterol goal attainment (very high risk: <100 mg/dl; moderate/high risk: <130 mg/dl), low-density lipoprotein cholesterol goal attainment (very high risk: <70 mg/dl; moderate/high risk: <100 mg/dl) and changes from baseline in lipid parameters were assessed at Week 24 among baseline triglyceride quintiles. Results Higher baseline triglycerides were associated with a worse cardiovascular risk profile. Low-density lipoprotein cholesterol and non-high-density lipoprotein cholesterol increased with higher triglycerides, but the magnitude in non-high-density lipoprotein cholesterol was three- to four-fold higher compared with the increase in low-density lipoprotein cholesterol. Non-high-density lipoprotein cholesterol and low-density lipoprotein cholesterol percentage reductions from baseline with alirocumab were similar regardless of baseline triglycerides. A greater proportion of alirocumab-treated patients attained non-high-density lipoprotein cholesterol and low-density lipoprotein cholesterol goals compared with placebo or ezetimibe. Unlike low-density lipoprotein cholesterol goal attainment, non-high-density lipoprotein cholesterol goal attainment significantly declined with increasing baseline triglycerides (p < 0.05 for trend tests). A single standard deviation increase in baseline log(triglycerides) was significantly associated with lower odds ratios of attaining non-high-density lipoprotein cholesterol goals in the different pools and treatment (alirocumab/placebo/ezetimibe) groups, unlike low-density lipoprotein cholesterol goal attainment. Conclusion Individuals with increased triglycerides have higher non-high-density lipoprotein cholesterol levels and lower rates of non-high-density lipoprotein cholesterol goal attainment (unlike low-density lipoprotein cholesterol goal attainment). Alirocumab improves non-high-density lipoprotein cholesterol goal attainment in this population. These results highlight the impact of triglycerides on non-high-density lipoprotein cholesterol and the need for novel therapies targeting triglyceride-related pathways.
[Impact of early nutritional support and presence of diabetes mellitus in patients with acute stroke].

INTRODUCTION the data in the medical literature are conflicting regarding the nutritional support of patients with stroke and the most appropriate time to start it. OBJECTIVE to analyze the effect of a nutritional intervention and of nutritional parameters on the clinical evolution of patients with stroke. MATERIAL AND METHODS this was an observational, retrospective study in 43 patients. The following baseline data were collected: tricipital skinfold (TS), mid-upper arm circumference (MUAC), muscular arm circumference (MAC), albumin, prealbumin, total cholesterol, lymphocytes, diabetes mellitus (DM), nutritional support onset, duration and type of supplementation, nutrition care plan, neurological dysfunction according to the National Institute of Health Stroke Scale (NIHSS) both at baseline and discharge, and mortality. Mortality within the first month and neurological deficit at discharge are identified as poor prognostic factors, and are related to nutritional parameters. RESULTS age 67.2 ± 12.5 years; 53.5% males and 34.9% females. Presence of DM: 34.88%. Nutritional parameters: TS: 18.7 ± 7.8 mm; MUAC: 30.2 ± 3 cm; MAC: 24.4 ± 3.1 cm; serum albumin 3.39 ± 0.3 g/dl; prealbumin: 22.3 ± 6.9 mg/dl; total cholesterol: 177.1 ± 46.4 mg/dL; lymphocytes: 1742 ± 885/mm3. Enteral nutritional support was started at 4.3 ± 5.8 days after the acute event, with a duration of 17.8 ± 23.2 days. Fifty percent of patients had severe neurological deficits at discharge. As markers of worse prognosis we identified a delay in the start of nutritional support of over 7 days, and the presence of DM. CONCLUSIONS the late start of nutritional support was related to worse clinical prognosis. DM is a marker of poor prognosis in patients with stroke.
CDN Judo: Breaking the CDN DoS Protection with Itself

A content delivery network (CDN) improves the accessing performance and availability of websites via its globally distributed network infrastructures, which contributes to the thriving of CDN-powered websites on the Internet. Because CDNpowered websites normally operate important businesses or critical services, attackers are mostly interested in taking down these high-value websites, to achieve severe damage with maximum influence. Because the CDN absorbs distributed attacking traffic with its massive bandwidth resources, it is commonly believed that CDN vendors provide effective DoS protection for the CDNpowered websites. However, we reveal that implementation or protocol weaknesses in the forwarding mechanisms of the CDN can be exploited to break this CDN protection. By sending crafted but legal requests, an attacker can launch an efficient DoS attack against the website origin behind it. In particular, we present three CDN threats in this study. By abusing the HTTP/2 requestconverting behavior and HTTP pre-POST behavior of a CDN, an attacker can saturate the CDN–origin bandwidth and exhaust the connection limits of the origin. What is more concerning is that some CDN vendors use only a small set of traffic forwarding IPs with lower IP-churning rates to establish connections with the origin. This characteristic provides a great opportunity for an attacker to effectively degrade the global availability of a website just by cutting off specific CDN–origin connections. In this work, we examine the CDN request-forwarding behaviors across six well-known CDN vendors and perform real-world experiments to evaluate the severity of the threats. Because the threats are caused by flawed trade-offs made by the CDN vendors between usability and security, we discuss possible mitigation and received positive feedback after responsible disclosure to the aforementioned CDN vendors.
Open Source + Software Patents = Innovation? Understanding software patent policy's effects on open source innovation

1 Motivation.2 2 Industrial innovation and patents.4 3 Software as an innovative process.7 3.1 The quintessential digital good.7 3.2 Engineering process and innovation.9 3.3 The established model.10 4 Innovation, the open source way.12 4.1 An innovative model.12 4.2 Individuals and incentives.15 4.3 Community and innovation . 17 5 Patents and software innovation.18 5.1 Software as “intellectual property”. 18 5.2 Advantages and disadvantages of patents . 21 6 Free software and patents.27 7 Implications.30 7.1 Policy implications.30 7.2 The need for empirical evidence.30 Bibliography.32
Relative Efficiencies of Simple and Complex Substitution Models in Estimating Divergence Times in Phylogenomics

The conventional wisdom in molecular evolution is to apply parameter-rich models of nucleotide and amino acid substitutions for estimating divergence times. However, the actual extent of the difference between time estimates produced by highly complex models compared to those from simple models is yet to be quantified for contemporary datasets that frequently contain sequences from many species and genes. In a reanalysis of many large multispecies alignments from diverse groups of taxa using the same tree topologies and calibrations, we found that the use of the simplest models can produce divergence time estimates and credibility intervals similar to those obtained from the complex models applied in the original studies. This result is surprising because the use of simple models underestimates sequence divergence for all the datasets analyzed. We find three fundamental reasons for the observed robustness of time estimates to model complexity in many practical datasets. First, the estimates of branch lengths and node-to-tip distances under the simplest model show an approximately linear relationship with those produced by using the most complex models applied, especially for datasets with many sequences. Second, relaxed clock methods automatically adjust rates on branches that experience considerable underestimation of sequence divergences, resulting in time estimates that are similar to those from complex models. And, third, the inclusion of even a few good calibrations in an analysis can reduce the difference in time estimates from simple and complex models. The robustness of time estimates to models complexity in these empirical data analyses is encouraging, because all phylogenomics studies use statistical models that are oversimplified descriptions of actual evolutionary substitution processes.
Enhancing Malware Detection by Modiﬁed Deep Abstraction and Weighted Feature Selection

: The current malware detection method is limited to two kinds of methods, static and dynamic. Static method is easy to use but diﬃcult to detect new kinds of malware. On the other hand, dynamic method is strong against a new malware but needs an expert skill to manipulate it. For the last decades, machine learning has advanced rapidly as a new malware detection method. The goal of this paper is to propose a modiﬁed feature learning method for malware detection, which is based on Deep Abstraction and Weighted Feature Selection proposed (DFES) for Intrusion Detection System by Aminanto et al in 2017. The methodology consists of a combination between Stacked Autoencoder (SAE) for feature extraction and weight based Artiﬁcial Neural Network (ANN) for feature selection and classiﬁcation. We did some experiment to ﬁnd the optimum setting for both SAE and ANN and ﬁnd that the best result is given by the combination of SAE with 2 hidden layers and ANN with 2 hidden layers. In order to correspond with rapid release of new malware variant, we evaluate only the selected features, and remove features that is highly related to static malware detection. We use malware dataset created by Tek that consists of malware ﬁles from Virus Share and benign ﬁles from windows binaries. Our experimental result shows that we can achieve 95.490% detection rate, 2.007% false alarm rate, and 6 times faster compared to DFES. To the best of our knowledge, this is the ﬁrst paper that combines SAE and ANN as a feature learning method for malware detection
PIV

We describe the design and evaluation of PIV, a personalizable and inconspicuous vibrotactile breathing pacer. Given the prevalence and adverse impact of anxiety and anxiety disorders, our goal is to develop a technology that helps people regulate their anxiety through paced breathing. We examined two previously unstudied questions: What is an effective vibrotactile pattern for paced breathing, and where should the tactors be placed on the body to make the pacer most effective? We designed a series of personalized vibrotactile pacing patterns, and evaluated them on three body sites, in terms of self-reported and psychophysiological measures including skin conductance and breath wave parameters. The results show that personalization plays an important role in PIV’s pattern and placement design choices. We concluded that the choice of frequency based, strong-exhale-phased patterns and abdomen placement are appropriate for future studies.