Miracle-dz/UniFAR-FTUs huggingface dataset:
The Value of Physical Symptoms in Screening For Posttraumatic Stress Disorder in the Military

Physical symptoms are highly comorbid with posttraumatic stress disorder (PTSD). As PTSD is underdiagnosed, this study explored the value of self-reported physical symptoms in screening for 30-day PTSD in military personnel. Two physical symptom scales were constructed using items from a 67-item health symptom checklist, clinical interviews were used as the diagnostic reference standard, and diagnostic utility of physical symptoms was compared with the current gold standard screen, the PTSD checklist (PCL). Receiver operating characteristic analyses showed that both a 9-item and a 10-item physical symptom scale were of value in predicting PTSD (areas under the curve 0.81 and 0.85). Importantly, two thirds of PTSD positive personnel missed by the PCL were captured with physical symptoms scales, and when physical symptoms were added to the PCL, prediction was improved (areas under the curve 0.90 to 0.92). Our findings highlight the value of including assessing physical symptoms in PTSD screening.
Mass retention efficiencies of He accretion onto carbon-oxygen white dwarfs and type Ia supernovae

Context. Type Ia supernovae (SNe Ia) play a crucial role in studying cosmology and galactic chemical evolution. They are thought to be thermonuclear explosions of carbon-oxygen white dwarfs (CO WDs) when their masses reach the Chandrasekar mass limit in binaries. Previous studies have suggested that He novae may be progenitor candidates of SNe Ia. However, the mass retention efficiencies during He nova outbursts are still uncertain. Aims. In this article, we aim to study the mass retention efficiencies of He nova outbursts and to investigate whether SNe Ia can be produced through He nova outbursts. Methods. Using the stellar evolution code Modules for Experiments in Stellar Astrophysics, we simulated a series of multicycle He-layer flashes, in which the initial WD masses range from 0.7 to 1.35 M ⊙ with various accretion rates. Results. We obtained the mass retention efficiencies of He nova outbursts for various initial WD masses, which can be used in the binary population synthesis studies. In our simulations, He nova outbursts can increase the mass of the WD to the Chandrasekar mass limit and the explosive carbon burning can be triggered in the center of the WD; this suggests that He nova outbursts can produce SNe Ia. Meanwhile, the mass retention efficiencies in the present work are lower than those of previous studies, which leads to a lower birthrates of SNe Ia through the WD + He star channel. Furthermore, we obtained the elemental abundances distribution at the moment of explosive carbon burning, which can be used as the initial input parameters in studying explosion models of SNe Ia.
Telecom churn prediction modeling and application based on neural network

Churn management is a major focus of mobile operators to retain subscribers via satisfying their needs under resource constraints. One of the most important tasks is churn prediction. A customer churn prediction model based on neural network was put forward. Choose analysis variable according to expert empirical evaluation, and calculate the weight of analysis variable using neural network, set up customer churn prediction model and predict customer churn. Compared to decision tree and Bayesian network, the attributes closely related to churn degree were abstracted by using two neural networks. The attributes obtained are more favorable for customer detainment.
Weighted Guided Image Filtering With Steering Kernel

Due to its local property, guided image filter (GIF) generally suffers from halo artifacts near edges. To make up for the deficiency, a weighted guided image filter (WGIF) was proposed recently by incorporating an edge-aware weighting into the filtering process. It takes the advantages of local and global operations, and achieves better performance in edge-preserving. However, edge direction, a vital property of the guidance image, is not considered fully in these guided filters. In order to overcome the drawback, we propose a novel version of GIF, which can leverage the edge direction more sufficiently. In particular, we utilize the steering kernel to adaptively learn the direction and incorporate the learning results into the filtering process to improve the filter’s behavior. Theoretical analysis shows that the proposed method can get more powerful performance with preserving edges and reducing halo artifacts effectively. Similar conclusions are also reached through the thorough experiments including edge-aware smoothing, detail enhancement, denoising, and dehazing.
Multipatch Unbiased Distance Non-Local Adaptive Means With Wavelet Shrinkage

Many existing non-local means (NLM) methods either use Euclidean distance to measure the similarity between patches, or compute weight <inline-formula> <tex-math notation="LaTeX">$\omega _{ij}$ </tex-math></inline-formula> only once and keep it unchanged during the subsequent denoising iterations, or use only the structure information of the denoised image to update weight <inline-formula> <tex-math notation="LaTeX">$\omega _{ij}$ </tex-math></inline-formula>. These may lead to the limited denoising performance. To address these issues, this paper proposes the non-local adaptive means (NLAM) for image denoising. NLAM treats weight <inline-formula> <tex-math notation="LaTeX">$\omega _{ij}$ </tex-math></inline-formula> as an optimization variable and iteratively updates its value. We then introduce three unbiased distances, namely, pixel–pixel, patch–patch, and coupled unbiased distances. These unbiased distances are more robust to measure the image pixel/patch similarity than Euclidean distance. Using the coupled unbiased distance, we propose the unbiased distance non-local adaptive means (UD-NLAM). Because UD-NLAM uses only a single patch size to compute weight <inline-formula> <tex-math notation="LaTeX">$\omega _{ij}$ </tex-math></inline-formula>, we introduce multipatch UD-NLAM (MUD-NLAM) to adapt different noise levels. To further improve denoising performance, we then propose a new denoising method called MUD-NLAM with wavelet shrinkage (MUD-NLAM-WS). Experimental results show that the proposed NLAM, UD-NLAM, and MUD-NLAM outperform existing NLM methods, and MUD-NLAM-WS achieves a better performance than the state-of-the-art denoising methods.
A 13‐bit universal column driver for various displays of OLED and LCD

A universal column driver is implemented in a 0.13‐µm high‐voltage CMOS process for not only TFT‐LCD but also OLED applications. The proposed column driver employs 13‐bit linear DAC to cover all gamma curves of display applications and address‐based configuration for intra‐ panel interface protocol to support both TV and IT applications. Measured results demonstrate the average voltage of output channels (AVO) is under 1mv, which satisfies 1‐LSB resolution at 18.5V of AVDD.
Desiccation-induced viable but nonculturable state in Pseudomonas putida KT2440, a survival strategy

The potential of Pseudomonas putida KT2440 to act as a plant-growth promoter or as a bioremediator of toxic compounds can be affected by desiccation. In the present work, the bacterial survival ratio (BSR) in response to air desiccation was evaluated for P. putida KT2440 in the presence of different protectors. The BSR in the presence of nonreducing disaccharides, such as trehalose, was high after 15 days of desiccation stress (occurring at 30°C and 50% relative humidity), whereas in the absence of a protector the bacterial counts diminished to nondetectable numbers (ca 2.8 log CFU/mL). The LIVE/DEAD staining method showed that bacteria protected with trehalose maintained increased numbers of green cells after desiccation while cells without protection were all observed to be red. This indicated that nonprotected bacteria had compromised membrane integrity. However, when nonprotected bacteria subjected to 18 days of desiccation stress were rehydrated for a short time with maize root exudates or for 48 h with water (prolonged rehydration), the bacterial counts were as high as that observed for those not subjected to desiccation stress, suggesting that the cells entered the viable but nonculturable (VBNC) state under desiccation and that they returned to a culturable state after those means of rehydration. Interestingly an increase in the green color intensity of cells that returned to a culturable state was observed using LIVE/DEAD staining method, indicating an improvement in their membrane integrity. Cellular activity in the VBNC state was determined. A GFP-tagged P. putida strain expressing GFP constitutively was subjected to desiccation. After 12 days of desiccation, the GFP-tagged strain lost culturability, but it exhibited active GFP expression, which in turn made the cells green. Furthermore, the expression of 16S rRNA, rpoN (housekeeping), mutL, mutS (encoding proteins from the mismatch repair complex), and oprH (encoding an outer membrane protein) were examined by RT-PCR. All evaluated genes were expressed by both types of cells, culturable and nonculturable, indicating active molecular processes during the VBNC state.
Approximate Dynamic Programming for Nonlinear-Constrained Optimizations

In this paper, we study the constrained optimization problem of a class of uncertain nonlinear interconnected systems. First, we prove that the solution of the constrained optimization problem can be obtained through solving an array of optimal control problems of constrained auxiliary subsystems. Then, under the framework of approximate dynamic programming, we present a simultaneous policy iteration (SPI) algorithm to solve the Hamilton–Jacobi–Bellman equations corresponding to the constrained auxiliary subsystems. By building an equivalence relationship, we demonstrate the convergence of the SPI algorithm. Meanwhile, we implement the SPI algorithm via an actor–critic structure, where actor networks are used to approximate optimal control policies and critic networks are applied to estimate optimal value functions. By using the least squares method and the Monte Carlo integration technique together, we are able to determine the weight vectors of actor and critic networks. Finally, we validate the developed control method through the simulation of a nonlinear interconnected plant.
Reshaping the residency environment to enhance education and mitigate burnout

Abstract Burnout remains a widespread issue in graduate medical education, with current trends to mitigate burnout shifting toward institutional systematic interventions as opposed to personal individual interventions. In this article, we propose utilizing Knowle’s adult learning theory in conjunction with Maslach’s organizational context for burnout to implement systemic changes within the postgraduate training environment that we posit would both optimize the learning experience and reduce the incidence of burnout.
Random plasma glucose predicts the diagnosis of diabetes

Aims/Hypothesis Early recognition of those at high risk for diabetes as well as diabetes itself can permit preventive management, but many Americans with diabetes are undiagnosed. We sought to determine whether routinely available outpatient random plasma glucose (RPG) would be useful to facilitate the diagnosis of diabetes. Methods Retrospective cohort study of 942,446 U.S. Veterans without diagnosed diabetes, ≥3 RPG in a baseline year, and ≥1 primary care visit/year during 5-year follow-up. The primary outcome was incident diabetes (defined by diagnostic codes and outpatient prescription of a diabetes drug). Results Over 5 years, 94,599 were diagnosed with diabetes [DIAB] while 847,847 were not [NONDIAB]. Baseline demographics of DIAB and NONDIAB were clinically similar, except DIAB had higher BMI (32 vs. 28 kg/m2) and RPG (150 vs. 107 mg/dl), and were more likely to have Black race (18% vs. 15%), all p<0.001. ROC area for prediction of DIAB diagnosis within 1 year by demographic factors was 0.701, and 0.708 with addition of SBP, non-HDL cholesterol, and smoking. These were significantly less than that for prediction by baseline RPG alone (≥2 RPGs at/above a given level, ROC 0.878, p<0.001), which improved slightly when other factors were added (ROC 0.900, p<0.001). Having ≥2 RPGs ≥115 mg/dl had specificity 77% and sensitivity 87%, and ≥2 RPGs ≥130 mg/dl had specificity 93% and sensitivity 59%. For predicting diagnosis within 3 and 5 years by RPG alone, ROC was reduced but remained substantial (ROC 0.839 and 0.803, respectively). Conclusions RPG levels below the diabetes “diagnostic” range (≥200 mg/dl) provide good discrimination for follow-up diagnosis. Use of such levels–obtained opportunistically, during outpatient visits–could signal the need for further testing, allow preventive intervention in high risk individuals before onset of disease, and lead to earlier identification of diabetes.
An Approach to the Fatigue in Young Soccer Players Resulting from Sided Games

It is crucial to understand the fatigue associated with sided games (SGs) of soccer in the training context, in order to establish the appropriate intervals between training sessions. Thus, the aim of this study was to investigate the effects of different SGs on internal load, measured by the session rating of perceived exertion (sRPE), and on sprint performance. Ten outfield players (age: 14.5 ± 0.5 years, height: 169 ± 6 cm, body mass: 59.7 ± 6.4 kg) belonging to U15 age category participated in this study. The participants played four SG formats with modifications in the pitch size and in the bout duration, but with the same total duration for the SGs (SG1, SG2, SG3, and SG4). All the players performed a 10 and a 30 m sprint test before and after the SGs. The internal load was measured by the sRPE. The results showed no significant differences (p > 0.05) in the sRPE registered by the soccer players for the different SGs, but worse sprint performances over the 10 m (p < 0.05; ES: 0.74–1.38, large) and 30 m (p < 0.05; ES: 0.70–2.10, moderate to large) distances after completion of the SGs, except the 10 m sprint after SG2 and SG3 (p > 0.05; ES: 0.43–0.55, moderate). In addition, no correlation (p > 0.05) was reported between the sprint performances for the 10 and 30 m distances and the sRPE registered during the SGs. These results could be useful for technical staff wishing to design the playing area and bout duration of their training tasks effectively.
Second Asian Consensus on Irritable Bowel Syndrome

Background/Aims There has been major progress in our understanding of the irritable bowel syndrome (IBS), and novel treatment classes have emerged. The Rome IV guidelines were published in 2016 and together with the growing body of Asian data on IBS, we felt it is timely to update the Asian IBS Consensus. Methods Key opinion leaders from Asian countries were organized into 4 teams to review 4 themes: symptoms and epidemiology, pathophysiology, diagnosis and investigations, and lifestyle modifications and treatments. The consensus development process was carried out by using a modified Delphi method. Results Thirty-seven statements were developed. Asian data substantiate the current global viewpoint that IBS is a disorder of gut-brain interaction. Socio-cultural and environmental factors in Asia appear to influence the greater overlap between IBS and upper gastrointestinal symptoms. New classes of treatments comprising low fermentable oligo-, di-, monosacharides, and polyols diet, probiotics, non-absorbable antibiotics, and secretagogues have good evidence base for their efficacy. Conclusions Our consensus is that all patients with functional gastrointestinal disorders should be evaluated comprehensively with a view to holistic management. Physicians should be encouraged to take a positive attitude to the treatment outcomes for IBS patients.
Methodology for implementing Petri Nets with UML

Petri Nets is a graphical modeling tool and also a formal mathematic tool. Petri Nets have the ability of validation and simulation to concurrent, parallel, distributed and asynchronous systems. However,Petri Nets is not a programming tool, but a tool which is used to describe and analyze the system model. Thus, there must be some methods to map Petri Nets to program. UML(Unified Modeling Language) has friendly user interface, is easy to be implemented by program, and can be used to program Petri Nets.
Nanotechnology approaches for delivery of cytochrome P450 substrates in HIV treatment

ABSTRACT Introduction: Antiretroviral therapy (ART) has led to a significant reduction in HIV-1 morbidity and mortality. Many antiretroviral drugs (ARVs) are metabolized by cytochrome P450 (CYP) pathway, and the majority of these drugs are also either CYP inhibitors or inducers and few possess both activities. These CYP substrates, when used for HIV treatment in the conventional dosage form, have limitations such as low systemic bioavailability, potential drug–drug interactions, and short half-lives. Thus, an alternative mode of delivery is needed in contrast to conventional ARVs. Areas covered: In this review, we summarized the limitations of conventional ARVs in HIV treatment, especially for ARVs which are CYP substrates. We also discussed the preclinical and clinical studies using the nanotechnology strategy to overcome the limitations of these CYP substrates. The preclinical studies and clinical studies published from 2000 to February 2019 were discussed. Expert opinion: Since preclinical and clinical studies for prevention and treatment of HIV using nanotechnology approaches have shown considerable promise in recent years, nanotechnology could become an alternative strategy for daily oral therapy as a future treatment. Trial registration: ClinicalTrials.gov identifier: NCT02631473. Trial registration: ClinicalTrials.gov identifier: NCT02165202. Trial registration: ClinicalTrials.gov identifier: NCT02547870. Trial registration: ClinicalTrials.gov identifier: NCT02076178.
Genetic Analysis of MECP2 Gene in Iranian Patients with Rett Syndrome

Objectives Rett syndrome is an X linked dominant neurodevelopmental disorder which almost exclusively affects females. The syndrome is usually caused by mutations in MECP2 gene, which is a nuclear protein that selectively binds CpG dinucleotides in the genome. Materials & Methods To provide further insights into the distribution of mutations in MECP2 gene, we investigated 24 females with clinical characters of Rett syndrome referred to Alzahra University Hospital in Isfahan, Iran during 2015-2017. We sequenced the entire MECP2 coding region and splice sites for detection of point mutations in this gene. Freely available programs including JALVIEW, SIFT, and PolyPhen were used to find out the damaging effects of unknown mutations. Results Direct sequencing revealed MECP2 mutations in 13 of the 24 patients. We identified in 13 patients, 10 different mutations in MECP2 gene. Three of these mutations have not been reported elsewhere and are most likely pathogenic. Conclusion Defects in MECP2 gene play an important role in pathogenesis of Rett syndrome. Mutations in MECP2 gene can be found in the majority of Iranian RTT patients. We failed to identify mutations in MECP2 gene in 46% of our patients. For these patients, further molecular analysis might be necessary.
Anxiety levels and methods of coping with stress of adolescents undergoing their first gynecological examination

Abstract Objective: The present study was conducted to assess the anxiety levels and the methods of coping with the stress of adolescents who underwent their first gynecological examination. Methods: The sample of this descriptive study consisted of 223 married or single adolescent women who went to a state hospital in Sivas Province in Turkey for their first gynecological examination. The data were collected by face-to-face interviews with the Personal Information Form, the State Anxiety Inventory (SAI) and the Ways of Coping Inventory (WCI). Results: There was a statistically significant negative correlation between the SAI scores, and the self-confident approach (r = −0.305; p = 0.001) and optimistic approach (r = −0.170; p = 0.011) of the WCI subscales. A statistically significant positive correlation was found between SAI scores, and the desperate approach (r = 0.153; p = 0.022) and submissive approach (r = 0.143; p = 0.032). Conclusion: Adolescent women who underwent their first gynecological examination have “moderate” levels of anxiety and their coping with stress styles are ineffective. As anxiety levels increase, they use more ineffective methods.
Effect of Cognitive Training on Daily Function in Older People without Major Neurocognitive Disorder: A Systematic Review

There is increasing interest in the effect of non-pharmacological treatments on preserving cognition and function in older adults without major neurocognitive disorder (dementia). However, its effect on everyday function in terms of instrumental activities of daily living (IADL) is unclear. We conducted a systematic review to examine whether cognitive training, independent of other interventions, can improve IADL function in older adults without major neurocognitive disorder. We searched multiple databases including MEDLINE, EMBASE, and PSYCINFO and found thirteen studies that met our inclusion criteria with 7130 participants in total. Six out of thirteen studies reported a significant change on validated IADL assessment. On subgroup analysis, five studies included older adults with normal cognition and one included mild cognitive impairment (MCI). Eleven out of twelve studies showed improvement in measures of cognition. None of the studies described changes in the ability to live independently. While variation in study protocol, outcome measurement, and effect size reporting precluded further inferential statistical analysis, our review found a sizable number of studies showing improvement in IADL. Cognitive training may have some benefit in improving IADL function in older adults without major neurocognitive disorder. Future long-term studies focusing on maintained IADL function and preserved independence are needed.
Characterization of Solanum melongena Thioesterases Related to Tomato Methylketone Synthase 2

2-Methylketones are involved in plant defense and fragrance and have industrial applications as flavor additives and for biofuel production. We isolated three genes from the crop plant Solanum melongena (eggplant) and investigated these as candidates for methylketone production. The wild tomato methylketone synthase 2 (ShMKS2), which hydrolyzes β-ketoacyl-acyl carrier proteins (ACP) to release β-ketoacids in the penultimate step of methylketone synthesis, was used as a query to identify three homologs from S. melongena: SmMKS2-1, SmMKS2-2, and SmMKS2-3. Expression and functional characterization of SmMKS2s in E. coli showed that SmMKS2-1 and SmMKS2-2 exhibited the thioesterase activity against different β-ketoacyl-ACP substrates to generate the corresponding saturated and unsaturated β-ketoacids, which can undergo decarboxylation to form their respective 2-methylketone products, whereas SmMKS2-3 showed no activity. SmMKS2-1 was expressed at high level in leaves, stems, roots, flowers, and fruits, whereas expression of SmMKS2-2 and SmMKS2-3 was mainly in flowers and fruits, respectively. Expression of SmMKS2-1 was induced in leaves by mechanical wounding, and by methyl jasmonate or methyl salicylate, but SmMKS2-2 and SmMKS2-3 genes were not induced. SmMKS2-1 is a candidate for methylketone-based defense in eggplant, and both SmMKS2-1 and SmMKS2-2 are novel MKS2 enzymes for biosynthesis of methylketones as feedstocks to biofuel production.