Miracle-dz/UniFAR-FTUs huggingface dataset:
Level of vital and laboratory values on arrival, and increased risk of 7-day mortality among adult patients in the emergency department: a population-based cohort study

Objectives The aim of the study was to provide evidence for, at which vital and laboratory values, increased risk of 7-day mortality in acute adult patients on arrival to an emergency department (ED). Design A population-based cohort study. Setting ED at Odense University Hospital, Denmark. Participants All patients ≥18 years with a first-time contact within the study period, 1 April 2012 to 31 March 2015. Primary and secondary outcome measures Primary outcome was 7-day all-cause mortality. Variables were first recorded vital and laboratory values included in risk stratification scores; respiratory frequency, blood pressure, heart rate, Glasgow Coma Scale, temperature, saturation, creatinine, PaO2, platelet count and bilirubin. The association between values and mortality was described using a restricted cubic spline. A predefined 7-day mortality of 2.5% was chosen as a relevant threshold. Results We included 40 423 patients, 52.5% women, median age 57 (IQR 38–74) years and 7-day mortality 2.8%. Seven-day mortality of 2.5% had thresholds of respiratory frequency <12 and >18/min, systolic blood pressure <112 and >192 mm Hg, heart rate <54 and >102 beats/min, temperature <36.0°C and >39.8°C, saturation <97%, Glasgow Coma Scale score <15, creatinine <41 and >98 µmol/L for PaO2 <9.9 and >12.3 kPa, platelet count <165 and >327×109/L and bilirubin >12 µmol/L. Conclusion Vital values on arrival, outside the normal ranges for the measures, are indicative of increased risk of short-term mortality, and most of the value thresholds are included in the lowest urgency level in triage and risk stratification scoring systems.
Integrated Immunohistochemical Study on Small-Cell Carcinoma of the Lung Focusing on Transcription and Co-Transcription Factors

Small-cell lung cancer (SCLC) is an aggressive malignant cancer that is classified into four subtypes based on the expression of the following key transcription and co-transcription factors: ASCL1, NEUROD1, YAP1, and POU2F3. The protein expression levels of these key molecules may be important for the formation of SCLC characteristics in a molecular subtype-specific manner. We expect that immunohistochemistry (IHC) of these molecules may facilitate the diagnosis of the specific SCLC molecular subtype and aid in the appropriate selection of individualized treatments. We attempted IHC of the four key factors and 26 candidate SCLC target molecules selected from the gene expression omnibus datasets of 47 SCLC samples, which were grouped based on positive or negative results for the four key molecules. We examined differences in the expression levels of the candidate targets and key molecules. ASCL1 showed the highest positive rate in SCLC samples, and significant differences were observed in the expression levels of some target molecules between the ASCL1-positive and ASCL1-negative groups. Furthermore, the four key molecules were coordinately and simultaneously expressed in SCLC cells. An IHC study of ASCL1-positive samples showed many candidate SCLC target molecules, and IHC could become an essential method for determining SCLC molecular subtypes.
Morpho-Physiological and Molecular Evaluation of Drought and Recovery in Impatiens walleriana Grown Ex Vitro

This study was carried out to examine the drought effect on development, physiological, biochemical and molecular parameters in Impatiens walleriana grown ex vitro. Experiment design included three treatments: Control plants—grown under optimal watering (35%–37% of soil moisture content), drought-stressed plants—non-irrigated to reach 15% and 5% of soil moisture content and recovery plants—rehydrated for four days to reach optimal soil moisture content. Drought reduced fresh weight, total leaf area, as well as dry weight of I. walleriana shoots. Drought up-regulated expression of abscisic acid (ABA) biosynthesis genes 9-cis-epoxycarotenoid dioxygenase 4 (NCED4) and abscisic aldehyde oxidase 2 (AAO2) and catabolic gene ABA 8′-hydroxylase 3 (ABA8ox3) which was followed by increased ABA content in the leaves. Decrement in water potential of shoots during the drought was not accompanied with increased amino acid proline content. We detected an increase in chlorophyll, carotenoid, total polyphenols and flavonols content under drought conditions, as well as malondialdehyde, hydrogen peroxide and DPPH (1,1′-diphenyl-2-picrylhydrazyl) activity. Increased antioxidant enzyme activities (superoxide dismutase, peroxidase and catalase) throughout drought were also determined. Recovery treatment was significant for neutralizing drought effect on growth parameters, shoot water potential, proline content and genes expression.
The Importance of Phase Composition for Corrosion Resistance of Borided Layers Produced on Nickel Alloys

The plasma paste boriding process was used for production of the borided layers on pure nickel and nickel-chromium alloys. The produced layers consisted of nickel borides only (in the case of nickel) or a nickel and chromium borides mixture (in the case Ni–Cr alloys). The objective of this investigation was to indicate the importance of the presence of chromium for corrosion resistance of non-borided alloys, as well as to indicate the influence of phase composition of borided layers on their corrosion resistance. Pure nickel was characterized by higher corrosion resistance, in comparison to the nickel-based alloys. Increased chromium content in nickel alloys resulted in their high susceptibility for pitting corrosion. All borided samples were characterized by higher corrosion resistance than the non-borided samples. However, the phase composition of borided layers influenced their corrosion resistance. Due to the microstructure which consisted of one type of borides (nickel borides), borided nickel had the highest resistance to corrosion, whereas the presence of chromium borides in layers produced on nickel-chromium alloys caused a decrease in corrosion resistance.
Detection and segmentation of macromolecular assemblies with deep learning in ﬂuorescence microscopy

Fluorescence microscopy is a fundamental observation tool to understand complex cellular mechanisms. The class of super-resolution techniques has been developing rapidly in recent years and it is now able to reach resolutions of a few nanometers in 2D. However, the 3D observation of small particles such as macromolecular assemblies is still hampered by a low resolution in the axial direction of the microscope. Moreover, the fluorescent proteins do not cover completely and uniformly the targeted particles, such that a single image yields only a partial view of the actual structure of cellular objects.
Conversion Therapy in the Southern United States: Prevalence and Experiences of the Survivors

ABSTRACT Numerous studies have determined that conversion therapy, a practice meant to change one’s sexual orientation to heterosexual or gender identity to cisgender, can be ineffective and severely harmful. However, few studies have documented the prevalence or characteristics of its survivors. This study is a quantitative analysis of the LGBTQ Institute Southern Survey that estimates the prevalence of conversion therapy (specifically SOCE) in the Southern United States and documents its significant association with negative mental health outcomes. Conversion therapy survivors comprised 7.6% of the sample (11.6% after listwise deletion). Respondents who were younger and reported being a gender minority; lesbian, gay, or some other sexual orientation; Hispanic; less educated; and less religious were more likely to have experienced it. Findings support previous studies which report a strong correlation between conversion therapy and poor mental health outcomes. Results regarding the prevalence and demographics of survivors offer new insights for further research.
An Immediate and Long-Term Complication of COVID-19 May Be Type 2 Diabetes Mellitus: The Central Role of β-Cell Dysfunction, Apoptosis and Exploration of Possible Mechanisms

The novel coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) was declared a pandemic by the WHO on 19 March 2020. This pandemic is associated with markedly elevated blood glucose levels and a remarkable degree of insulin resistance, which suggests pancreatic islet β-cell dysfunction or apoptosis and insulin’s inability to dispose of glucose into cellular tissues. Diabetes is known to be one of the top pre-existing co-morbidities associated with the severity of COVID-19 along with hypertension, cardiocerebrovascular disease, advanced age, male gender, and recently obesity. This review focuses on how COVID-19 may be responsible for the accelerated development of type 2 diabetes mellitus (T2DM) as one of its acute and suspected long-term complications. These observations implicate an active role of metabolic syndrome, systemic and tissue islet renin–angiotensin–aldosterone system, redox stress, inflammation, islet fibrosis, amyloid deposition along with β-cell dysfunction and apoptosis in those who develop T2DM. Utilizing light and electron microscopy in preclinical rodent models and human islets may help to better understand how COVID-19 accelerates islet and β-cell injury and remodeling to result in the long-term complications of T2DM.
The Expression of von Willebrand Factor-Binding Protein Determines Joint-Invading Capacity of Staphylococcus aureus, a Core Mechanism of Septic Arthritis

Septic arthritis remains one of the most dangerous joint diseases with a rapidly progressive disease character. Despite advances in the use of antibiotics, permanent reductions in joint function due to joint deformation and deleterious contractures occur in up to 50% of patients with septic arthritis. So far, it is still largely unknown how S. aureus initiates and establishes joint infection. Here, we demonstrate that von Willebrand factor-binding protein expressed by S. aureus facilitates the initiation of septic arthritis. Such effect might be mediated through its interaction with a host factor (von Willebrand factor). Our finding contributes significantly to the full understanding of septic arthritis etiology and will pave the way for new therapeutic modalities for this devastating disease. ABSTRACT Septic arthritis, one of the most dangerous joint diseases, is predominantly caused by Staphylococcus aureus. In contrast, coagulase-negative staphylococci are rarely found in septic arthritis. We hypothesize that coagulases released by S. aureus, including coagulase (Coa) and von Willebrand factor-binding protein (vWbp), play potent roles in the induction of septic arthritis. Four isogenic S. aureus strains differing in expression of coagulases (wild-type [WT] Newman, Δcoa, Δvwb, and Δcoa Δvwb) were used to induce septic arthritis in both wild-type and von Willebrand factor (vWF)-deficient mice. Septic arthritis severity was greatly reduced when wild-type mice were infected with the Δcoa Δvwb and Δvwb variants compared to WT or Δcoa strains, suggesting that vWbp rather than Coa is a major virulence factor in S. aureus septic arthritis. vWF-deficient mice were more susceptible to bone damage in septic arthritis, especially when the Δvwb strain was used. Importantly, no difference in arthritis severity between the Δvwb and WT strains was observed in vWF-deficient mice. Collectively, we conclude that vWbp production by S. aureus enhances staphylococcal septic arthritis. IMPORTANCE Septic arthritis remains one of the most dangerous joint diseases with a rapidly progressive disease character. Despite advances in the use of antibiotics, permanent reductions in joint function due to joint deformation and deleterious contractures occur in up to 50% of patients with septic arthritis. So far, it is still largely unknown how S. aureus initiates and establishes joint infection. Here, we demonstrate that von Willebrand factor-binding protein expressed by S. aureus facilitates the initiation of septic arthritis. Such effect might be mediated through its interaction with a host factor (von Willebrand factor). Our finding contributes significantly to the full understanding of septic arthritis etiology and will pave the way for new therapeutic modalities for this devastating disease.
Introduction to Special Issue on Datasets hosted in The Cancer Imaging Archive (TCIA).

Public datasets play a key role in enabling the medical research community to validate and build upon each other works using data acquired outside of their home institutions. This is especially critical for stimulating studies utilizing quantitative data analysis (radiomics) or artificial intelligence/machine learning (AI/ML) approaches, for which validation and generalizability on independent external cohorts are essential for acceptance and future clinical translation.
MRI for the display of autologous onlay bone grafts during early healing—an experimental study

Objectives: Autologous bone grafts are the gold standard to augment deficient alveolar bone. Dimensional graft alterations during healing are not known as they are not accessible to radiography. Therefore, MRI was used to display autologous onlay bone grafts in vivo during early healing. Methods and materials: Ten patients with alveolar bone atrophy and autologous onlay grafts were included. MRI was performed with a clinical MR system and an intraoral coil preoperatively (t0), 1 week (t1), 6 weeks (t2) and 12 weeks (t3) postoperatively, respectively. The graft volumes were assessed in MRI by manual segmentation by three examiners. Graft volumes for each time point were calculated and dimensional alteration was documented. Cortical and cancellous proportions of bone grafts were assessed. The intraobserver and interobserver variability were calculated. Statistical analysis was performed using a mixed linear regression model. Results: Autologous onlay bone grafts with cortical and cancellous properties were displayed in vivo in eight patients over 12 weeks. The fixation screws were visible as signal voids with a thin hyperintense fringe. The calculated volumes were between 0.12–0.74 cm3 (t1), 0.15–0.73 cm3 (t2), and 0.17–0.64 cm3 (t3). Median changes of bone graft volumes of −15% were observed. There was no significant difference between the examiners (p = 0.3). Conclusions: MRI is eligible for the display and longitudinal observation of autologous onlay bone grafts. Image artifacts caused measurements deviations in some cases and minimized the precise assessment of graft volume. To the knowledge of the authors, this is the first study that used MRI for the longitudinal observation of autologous onlay bone grafts.
Interpersonal Psychotherapy to Reduce Psychological Distress in Perinatal Women: A Systematic Review

Background: Interpersonal psychotherapy (IPT) is a psychological intervention with established efficacy in the prevention and treatment of depressive disorders. Previous systematic reviews have not evaluated the effectiveness of IPT on symptoms of stress, anxiety, depression, quality of life, relationship satisfaction/quality, social supports, and an improved psychological sense of wellbeing. There is limited information regarding moderating and mediating factors that impact the effectiveness of IPT such as the timing of the intervention or the mode of delivery of IPT intervention. The overall objective of this systematic review was to evaluate the effectiveness of IPT interventions to treat perinatal (from pregnancy up to 12 months postpartum) psychological distress. Methods: MEDLINE(R) and Epub Ahead of Print, In-Process & Other Non-Indexed Citations and Daily (Ovid), EMBASE (Ovid), PsycINFO (Ovid), Cochrane Central Register of Controlled Trials (OVID), CINAHL with Full Text (Ebsco), Social Work Abstracts (Ebsco), SocINDEX with Full Text (Ebsco), Academic Search Complete (Ebsco), Family & Society Studies Worldwide (Ebsco), Family Studies Abstracts (Ebsco), and Scopus databases were searched from inception until 31 January 2019. Two researchers independently screened articles for eligibility. Of the 685 screened articles, 43 met the inclusion criteria. The search was re-run on 11 May 2020. An additional 204 articles were screened and two met the inclusion criteria, resulting in a total of 45 studies included in this review. There were 25 Randomized Controlled Trials, 10 Quasi-experimental studies, eight Open Trials, and two Single Case Studies. All included studies were critically appraised for quality. Results: In most studies (n = 24, 53%), the IPT intervention was delivered individually; in 17 (38%) studies IPT was delivered in a group setting and two (4%) studies delivered the intervention as a combination of group and individual IPT. Most interventions were initiated during pregnancy (n = 27, 60%), with the remaining 18 (40%) studies initiating interventions during the postpartum period. Limitations: This review included only English-language articles and peer-reviewed literature. It excluded government reports, dissertations, conference papers, and reviews. This limited the access to grassroots or community-based recruitment and retention strategies that may have been used to target smaller or marginalized groups of perinatal women. Conclusions: IPT is an effective intervention for the prevention and treatment of psychological distress in women during their pregnancy and postpartum period. As a treatment intervention, IPT is effective in significantly reducing symptoms of depression and anxiety as well as improving social support, relationship quality/satisfaction, and adjustment. Systematic Review Registration: PROSPERO CRD42019114292.
Cell mimicry as a bottom-up strategy for hierarchical engineering of nature-inspired entities.

Artificial biology is an emerging concept that aims to design and engineer the structure and function of natural cells, organelles, or biomolecules with a combination of biological and abiotic building blocks. Cell mimicry focuses on concepts that have the potential to be integrated with mammalian cells and tissue. In this feature article, we will emphasize the advancements in the past 3-4 years (2017-present) that are dedicated to artificial enzymes, artificial organelles, and artificial mammalian cells. Each aspect will be briefly introduced, followed by highlighting efforts that considered key properties of the different mimics. Finally, the current challenges and opportunities will be outlined. This article is categorized under: Nanotechnology Approaches to Biology > Nanoscale Systems in Biology.
Reserves in the multi-state health insurance model with stochastic interest of diffusion type

In this paper, we consider the Markovian model for the actuarial modelling of health insurance policies modified by the inclusion of durational effects (the time elapsed since entering a given state) on the aggregate payment streams, where the force of interest is a diffusion process. We derive differential equations for the first moment of the present value of the aggregate amount of benefits. We also give two examples to illustrate our results.
Profiling Fake News Spreaders on Twitter

The article presents a model for fake news proﬁling task on social media data. Fake news poses a great threat to our society and evaluating author plays a critical role in detecting fake news patterns. The article describes machine learning and deep learning algorithm analyses to the binary classiﬁcation problem for PAN 2020 challenge. All experiments were conducted on the English data set and the results for discriminating fake news spreaders from real news authors were shown. Our ﬁnal model submitted to TIRA, Bi-LSTM with attention on the training set achieved 70% accuracy.
Intelligent Query Answering By Knowledge Discovery Technique

In this paper, we propose the framework of knowledge discovery technique for intelligent query answering. In a database system, there may exist two kinds of queries: data queries and knowledge queries. Data query finds concrete data stored in a database and corresponds to a basic retrieval statement in a database system. Knowledge query finds rules, patterns and other kinds of knowledge in a database and corresponds to querying database knowledge including deduction rules, integrity constraints, generalized rules, frequent patterns and so on. Our framework is based on attribute-oriented induction approach for the discovery of multiple, statistical rules in large database.
LEADERS D

: The identification of E-Opinion Leaders (E-OL) on Online Social Networkss (e.g. Twitter or Facebook) has become a challenge for marketing managers. Several companies deliver this service by using algorithmic metrics (e.g. Lithium with its Klout score). These kinds of methods lack for theoretical bases and so, for scientific validity: on which conceptualization of E-OL are they based? If traditional opinion leader (offline) have been well defined by academics, the construct of opinion leader on Online Social Networks has not been clearly delimitated and measured up to now. In this paper, a new conceptualization of E-OL on Online Social Networks is proposed in association with a related specific measure. In this approach, OL is formed by three dimensions, content production, social capital development and expertise. Construct and predicative validities are verified though an empirical study on 167 users of social networks.
Preliminary assessment of use of spider webs for the indication of air contaminants

Spider webs found in polluted areas could absorb air contaminants. In order to check their cumulative ability, two different study sites had been chosen in Wrocław (in the area of wet ponds and in the residential district of Biskupin) where spider silk was collected (after 10 days from the time of its construction). Web types of appropriate thickness and size were chosen for analyses. The representatives of Agelenidae family belonging to two species Malthonica silvestris and Malthonica ferruginea proved to be the most adequate for further studies. The level of selected heavy metal cumulation was assessed (Pb, Zn, Pt) in the collected samples. As the background, the level of air pollution concerning dust and selected heavy metals was also analysed by classic methods. Based on the web analysis, it was found that site 2 (Biskupin) exhibited the highest level of pollution with some metals. Similar results were obtained with the application of classic methods. The results of research are promising and confirm the possibility of obtaining a practical tool for the indication of air pollutants based on spiders silk, particularly on webs belonging to Agelenidae family.
Prediction System for Heart Disease Based on Ensemble Classifiers

The heart is an essential organ in the human body. On the off chance that this organ gets influenced, at that point, it equally influences the other fundamental pieces of the body. Heart diseases are the front runner in terms of death worldwide, making the need for an effective prediction system a source of high demand in treating affected patients. This study aims to analyze prediction systems, thereby designing an automated medical diagnosis system that takes advantage of the collected database. For this study, ensemble classifiers were implemented for classification of data of a medical database with discretization used during the preprocessing phase. The data employed in this research was obtained from the University of California (UCI) machine learning repository. The dataset utilized was the Statlog heart disease. Performance measures, such as accuracy, sensitivity, and specificity, were used to evaluate the proposed methods’ performance. The proposed method achieved an accuracy of 87.04%. Based on the results obtained, we observed that it is amongst one of the best in comparison with other studies reported on the UCI website.