Miracle-dz/UniFAR-FTUs huggingface dataset:
"Turning personal tragedy into triumph": A systematic review and meta-analysis of studies on posttraumatic growth among suicide-loss survivors.

OBJECTIVES Posttraumatic growth (PTG) is a significant positive change experienced by an individual following stressful or challenging life events in his or her life. PTG has been explored in various populations; however, only recently, the concept has been applied to suicide bereavement and postvention. This systematic review aims to explore whether PTG can ensue in the aftermath of a suicide loss and what are the sociodemographic and psychological correlates of PTG among suicide-loss survivors. METHOD A systematic review, adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, identified 11 quantitative studies published between 2009 and 2019. The review was followed by an examination of the pooled effect size for the main correlates of PTG. RESULTS PTG following suicide loss was reported to be positively associated with time since loss, adaptive coping strategies, and help-seeking. Furthermore, perceived social support and self-disclosure mediated the relations between both PTG and attachment style and between PTG and belongingness. A meta-analysis provided evidence that these two factors have strong averaged pool effects for their correlations with PTG. CONCLUSIONS The systematic review and meta-analysis found evidence of PTG following suicide loss and identified several psychosocial correlates of growth. Limitations of the reviewed studies, which included a lack of control groups and cross-sectional design, constrain the generalizability of the findings. Nonetheless, PTG is a relatively new area of research in postvention that carries substantial implications for the delivery of effective support to individuals coping with suicide loss. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
Eliminating the Effect of Reflectance Properties on Reconstruction in Stripe Structured Light System

The acquisition of the geometry of general scenes is related to the interplay of surface geometry, material properties and illumination characteristics. Surface texture and non-Lambertian reflectance properties degrade the reconstruction results by structured light technique. Existing structured light techniques focus on different coding strategy and light sources to improve reconstruction accuracy. The hybrid system consisting of a structured light technique and photometric stereo combines the depth value with normal information to refine the reconstruction results. In this paper, we propose a novel hybrid system consisting of stripe-based structured light and photometric stereo. The effect of surface texture and non-Lambertian reflection on stripe detection is first concluded. Contrary to existing fusion strategy, we propose an improved method for stripe detection to reduce the above factor’s effects on accuracy. The reconstruction problem for general scene comes down to using reflectance properties to improve the accuracy of stripe detection. Several objects, including checkerboard, metal-flat plane and free-form objects with complex reflectance properties, were reconstructed to validate our proposed method, which illustrates the effectiveness on improving the reconstruction accuracy of complex objects. The three-step phase-shifting algorithm was implemented and the reconstruction results were given and also compared with ours. In addition, our proposed framework provides a new feasible scheme for solving the ongoing problem of the reconstruction of complex objects with variant reflectance. The problem can be solved by subtracting the non-Lambertian components from the original grey values of stripe to improve the accuracy of stripe detection. In the future, based on stripe structured light technique, more general reflection models can be used to model different types of reflection properties of complex objects.
Lung Cancer Screening by Low-Dose Computed Tomography – Part 1: Expected Benefits, Possible Harms, and Criteria for Eligibility and Population Targeting

Abstract Background Trials in the USA and Europe have convincingly demonstrated the efficacy of screening by low-dose computed tomography (LDCT) as a means to lower lung cancer mortality, but also document potential harms related to radiation, psychosocial stress, and invasive examinations triggered by false-positive screening tests and overdiagnosis. To ensure that benefits (lung cancer deaths averted; life years gained) outweigh the risk of harm, lung cancer screening should be targeted exclusively to individuals who have an elevated risk of lung cancer, plus sufficient residual life expectancy. Methods and Conclusions Overall, randomized screening trials show an approximate 20 % reduction in lung cancer mortality by LDCT screening. In view of declining residual life expectancy, especially among continuing long-term smokers, risk of being over-diagnosed is likely to increase rapidly above the age of 75. In contrast, before age 50, the incidence of LC may be generally too low for screening to provide a positive balance of benefits to harms and financial costs. Concise criteria as used in the NLST or NELSON trials may provide a basic guideline for screening eligibility. An alternative would be the use of risk prediction models based on smoking history, sex, and age as a continuous risk factor. Compared to concise criteria, such models have been found to identify a 10 % to 20 % larger number of LC patients for an equivalent number of individuals to be screened, and additionally may help provide security that screening participants will all have a high-enough LC risk to balance out harm potentially caused by radiation or false-positive screening tests. Key Points: LDCT screening can significantly reduce lung cancer mortality Screening until the age of 80 was shown to be efficient in terms of cancer deaths averted; in terms of LYG relative to overdiagnosis, stopping at a younger age (e. g. 75) may have greater efficiency Risk models may improve the overall net benefit of lung cancer screening Citation Format Kaaks R, Delorme S. Lung Cancer Screening by Low-Dose Computed Tomography – Part 1: Expected Benefits, Possible Harms, and Criteria for Eligibility and Population Targeting. Fortschr Röntgenstr 2021; 193: 527 – 536
Unit-Vise: Deep Shallow Unit-Vise Residual Neural Networks With Transition Layer For Expert Level Skin Cancer Classification

Many modern neural network architectures with over parameterized regime have been used for identification of skin cancer. Recent work showed that network, where the hidden units are polynomially smaller in size, showed better performance than overparameterized models. Hence, in this paper, we present multistage unit-vise deep dense residual network with transition and additional supervision blocks that enforces the shorter connections resulting in better feature representation. Unlike ResNet, We divided the network into several stages, and each stage consists of several dense connected residual units that support residual learning with dense connectivity and limited the skip connectivity. Thus, each stage can consider the features from its earlier layers locally as well as less complicated in comparison to its counter network. Evaluation results on ISIC-2018 challenge consisting of 10,015 training images show considerable improvement over other approaches achieving 98.05 percent accuracy and improving on the best results achieved in comparison to state of the art methods. The code of Unit-vise network is publicly available.1
Measures of electronic health record use in outpatient settings across vendors

Abstract Electronic health record (EHR) log data capture clinical workflows and are a rich source of information to understand variation in practice patterns. Variation in how EHRs are used to document and support care delivery is associated with clinical and operational outcomes, including measures of provider well-being and burnout. Standardized measures that describe EHR use would facilitate generalizability and cross-institution, cross-vendor research. Here, we describe the current state of outpatient EHR use measures offered by various EHR vendors, guided by our prior conceptual work that proposed seven core measures to describe EHR use. We evaluate these measures and other reporting options provided by vendors for maturity and similarity to previously proposed standardized measures. Working toward improved standardization of EHR use measures can enable and accelerate high-impact research on physician burnout and job satisfaction as well as organizational efficiency and patient health.
Critical periods shaping the social brain: A perspective from Drosophila

Many sensory processing regions of the central brain undergo critical periods of experience‐dependent plasticity. During this time ethologically relevant information shapes circuit structure and function. The mechanisms that control critical period timing and duration are poorly understood, and this is of special importance for those later periods of development, which often give rise to complex cognitive functions such as social behavior. Here, we review recent findings in Drosophila, an organism that has some unique experimental advantages, and introduce novel views for manipulating plasticity in the post‐embryonic brain. Critical periods in larval and young adult flies resemble classic vertebrate models with distinct onset and termination, display clear connections with complex behaviors, and provide opportunities to control the time course of plasticity. These findings may extend our knowledge about mechanisms underlying extension and reopening of critical periods, a concept that has great relevance to many human neurodevelopmental disorders.
Recognition of Impulse of Love at First Sight Based On Photoplethysmography Signal

Love at first sight is a well-known and interesting phenomenon, and denotes the strong attraction to a person of the opposite sex when first meeting. As far as we know, there are no studies on the changes in physiological signals between the opposite sexes when this phenomenon occurs. Although privacy is involved, knowing how attractive a partner is may be beneficial to building a future relationship in an open society where both men and women accept each other. Therefore, this study adopts the photoplethysmography (PPG) signal acquisition method (already applied in wearable devices) to collect signals that are beneficial for utilizing the results of the analysis. In particular, this study proposes a love pulse signal recognition algorithm based on a PPG signal. First, given the high correlation between the impulse signals of love at first sight and those for physical attractiveness, photos of people with different levels of attractiveness are used to induce real emotions. Then, the PPG signal is analyzed in the time, frequency, and nonlinear domains, respectively, in order to extract its physiological characteristics. Finally, we propose the use of a variety of machine learning techniques (support vector machine (SVM), random forest (RF), linear discriminant analysis (LDA), and extreme gradient enhancement (XGBoost)) for identifying the impulsive states of love, with or without feature selection. The results show that the XGBoost classifier has the highest classification accuracy (71.09%) when using the feature selection.
Tobacco Product Use Among Adults — United States, 2019

Cigarette smoking remains the leading cause of preventable disease and death in the United States (1). The prevalence of current cigarette smoking among U.S. adults has declined over the past several decades, with a prevalence of 13.7% in 2018 (2). However, a variety of combustible, noncombustible, and electronic tobacco products are available in the United States (1,3). To assess recent national estimates of tobacco product use among U.S. adults aged ≥18 years, CDC analyzed data from the 2019 National Health Interview Survey (NHIS). In 2019, an estimated 50.6 million U.S. adults (20.8%) reported currently using any tobacco product, including cigarettes (14.0%), e-cigarettes (4.5%), cigars (3.6%), smokeless tobacco (2.4%), and pipes* (1.0%). † Most current tobacco product users (80.5%) reported using combustible products (cigarettes, cigars, or pipes), and 18.6% reported using two or more tobacco products. § The prevalence of any current tobacco product use was higher among males; adults aged ≤65 years; non-Hispanic American Indian/Alaska Native (AI/AN) adults; those whose highest level of educational attainment was a General Educational Development (GED) certificate; those with an annual household income <$35,000; lesbian, gay, or bisexual (LGB) adults; uninsured adults and those with Medicaid; those with a disability; or those with mild, moderate, or severe generalized anxiety disorder. E-cigarette use was highest among adults aged 18-24 years (9.3%), with over half (56.0%) of these young adults reporting that they had never smoked cigarettes. Implementing comprehensive, evidence-based, population level interventions (e.g., tobacco price increases, comprehensive smoke-free policies, high-impact antitobacco media campaigns, and barrier-free cessation coverage), in coordination with regulation of the manufacturing, marketing, and sale of all tobacco products, can reduce tobacco-related disease and death in the United States (1,4). As part of a comprehensive approach, targeted interventions are also warranted to reach subpopulations with the highest prevalence of use, which might vary by tobacco product type.
Impact of the novel coronavirus (COVID-19) pandemic on sleep

Background The COVID-19 pandemic has led to significant changes in daily routines and lifestyle worldwide and mental health issues have emerged as a consequence. We aimed to assess the presence of sleep disturbances during the lockdown in the general population. Methods Cross-sectional, online survey-based study on adults living through the COVID-19 pandemic. The questionnaire included demographics and specific questions assessing the impact of the pandemic/lockdown on sleep, daytime functioning and mental health in the general population. Identification of sleep pattern changes and specific sleep-related symptoms was the primary outcome, and secondary outcomes involved identifying sleep disturbances for predefined cohorts (participants reporting impact on mental health, self-isolation, keyworker status, suspected COVID-19 or ongoing COVID-19 symptoms). Results In total, 843 participants were included in the analysis. The majority were female (67.4%), middle aged [52 years (40–63 years)], white (92.2%) and overweight to obese [BMI 29.4 kg/m2 (24.1–35.5 kg/m2)]; 69.4% reported a change in their sleep pattern, less than half (44.7%) had refreshing sleep, and 45.6% were sleepier than before the lockdown; 33.9% had to self-isolate, 65.2% reported an impact on their mental health and 25.9% were drinking more alcohol during the lockdown. More frequently reported observations specific to sleep were ‘disrupted sleep’ (42.3%), ‘falling asleep unintentionally’ (35.2%), ‘difficulties falling’/‘staying asleep’ (30.9% and 30.8%, respectively) and ‘later bedtimes’ (30.0%). Respondents with suspected COVID-19 had more nightmares and abnormal sleep rhythms. An impact on mental health was strongly associated with sleep-related alterations. Conclusions Sleep disturbances have affected a substantial proportion of the general population during the COVID-19 pandemic lockdown. These are significantly associated with a self-assessed impact on mental health, but may also be related to suspected COVID-19 status, changes in habits and self-isolation.
Suicidality in Persons with Post-Traumatic Stress Disorder: What Are the Risk Factors?

BACKGROUND The results of the previous research imply that persons with post-traumatic stress disorder (PTSD) are at an increased suicide risk. Suicidality is more probable when PTSD occurs in comorbidity with other psychological disorders. The studying of potential differences and the fundamental social and physiological characteristics of suicidal and non-suicidal persons with PTSD has so far failed to produce consistent results. The objective of this article is to examine whether suicidal and non-suicidal persons with PTSD differ by demographic characteristics, the presence and the type of comorbidity with other psychological disorders and the type of traumatic experience. SUBJECTS AND METHODS The study included 147 participants from Bosnia and Herzegovina, 91 men and 56 women, who have been diagnosed with PTSD under the 10th revision of the International Classification of Diseases (ICD-10). Based on the suicidality status (suicidal/non-suicidal), the sample was divided into two sub-samples. For the purpose of data collection, a clinical interview and a socio-demographic questionnaire was applied during psychological clinical assessment at a psychiatric ward. RESULTS It has been established that suicidal and non-suicidal persons with PTSD differ by demographic characteristics, such as the educational and employment status, the presence of a history of suicide in the family, the presence and type of comorbidity with other psychiatric disorders, and the type of traumatic experience. In terms of age, gender, marital status and psychiatric heredity, no significant differences have been found relative to the suicidality status. CONCLUSIONS Suicidal persons with PTSD more frequently have low education, they are unemployed and have a history of suicide in the family, and they are diagnosed with comorbid psychiatric disorders, dominated by mood disorders and personality disorders, with multiple comorbid disorders combined, and with war, civilian and mixed trauma being equally present in these persons. Based on the established demographic and clinical characteristics of suicidal patients with PTSD, it is possible to improve the psychological and psychiatric assessment of suicidality in persons with PTSD, which enables adequate and timely identification of the suicide risk in this population.
Ten simple rules for starting research in your late teens

The Ten Simple Rules (TSR) series covers topics ranging from the very broad (career paths, scientific communication) to the more specific (illustrating figures, managing software), and all the various TSRs focus on one’s scientific and professional development. The present TSR shares that goal, and is authored by consumers and suppliers of research opportunities. Here, the consumers are individuals in their late teenage years, i.e., late-high school (LHS) or early-college (EC), who are either considering or actively searching for their first opportunity in a research lab at a university, national lab or beyond (ANM and JC). The suppliers are university researchers (CM and PEB), along with the views of a seasoned educator (MC). We write this TSR for three reasons. First, research requests have become more frequent in recent years and, while our general area has been computational biology, that’s probably secondary: the Rules articulated here may apply equally well across many disciplines. Second, in the past decade or so there has been an astonishing increase in the intensity of HS students, on many fronts—in terms of technical skill-sets (e.g., mastery of programming languages), academic preparation and scientific sophistication (e.g., courses in advanced math), and beyond (e.g., career-related ambitions, such as searching for research opportunities! ). Finally, some of these HS students who spent time in our laboratories have gone on to productive and rewarding research careers, underscoring that this is a formative stage in one’s scientific career. Reflecting on these experiences, through the eyes of trainee and mentor, we hope that this TSR affords some useful tips on whether research is right for you, how to go about procuring a research position, and the broader topic of navigating the LHS/EC stage of your own scientific trajectory.
Aortic and supra-aortic arterial tortuosity and access technique: Impact on time to device deployment in stroke thrombectomy

Background Longer intervals to reperfusion in patients treated with mechanical thrombectomy (MT) for emergent large vessel occlusion (ELVO) stroke are associated with worse outcomes and influenced by the operator’s ability to navigate individual anatomy. Our aims were to assess the impact of time from puncture to first deployment of the MT device (DT) on technical and clinical outcomes, develop an Anatomical Assessment for Mechanical Thrombectomy Score (ASMETS) that could predict DT and assess how different methods of intracranial access (coaxial-direct or exchange) influence this. Methods Retrospective review of a prospective database of patients treated with MT for ELVO between November 2015 and August 2018. CTAs were assessed for ASMETS. Intracranial access technique was at the discretion of the operator. Technical and clinical outcomes and complications were recorded. Linear and logistic regression analysis was performed. Results 92 patients were included. The impact of DT on clinical outcomes was significant. An unfavourable ASMET score is significantly associated with longer DT (p = 0.002) and linear regression showed DT time can be predicted by ASMETS – F(1,90) = 6.182, p = 0.015. No difference was demonstrated between different access techniques. Conclusion CTA-based ASMETS can predict time between arterial puncture and deployment of the mechanical thrombectomy device in stroke patients, irrespective of the technique used to catheterise the target ICA. This could inform the operator in preparing appropriate strategies to overcome challenging vascular anatomy in patients undergoing MT.
Peripheral Nerve Regeneration and Muscle Reinnervation

Injured peripheral nerves but not central nerves have the capacity to regenerate and reinnervate their target organs. After the two most severe peripheral nerve injuries of six types, crush and transection injuries, nerve fibers distal to the injury site undergo Wallerian degeneration. The denervated Schwann cells (SCs) proliferate, elongate and line the endoneurial tubes to guide and support regenerating axons. The axons emerge from the stump of the viable nerve attached to the neuronal soma. The SCs downregulate myelin-associated genes and concurrently, upregulate growth-associated genes that include neurotrophic factors as do the injured neurons. However, the gene expression is transient and progressively fails to support axon regeneration within the SC-containing endoneurial tubes. Moreover, despite some preference of regenerating motor and sensory axons to “find” their appropriate pathways, the axons fail to enter their original endoneurial tubes and to reinnervate original target organs, obstacles to functional recovery that confront nerve surgeons. Several surgical manipulations in clinical use, including nerve and tendon transfers, the potential for brief low-frequency electrical stimulation proximal to nerve repair, and local FK506 application to accelerate axon outgrowth, are encouraging as is the continuing research to elucidate the molecular basis of nerve regeneration.