Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterizing cancer and COVID-19 outcomes using electronic health records

Purpose Patients with cancer often have compromised immune system which can lead to worse COVID-19 outcomes. The purpose of this study is to assess the association between COVID-19 outcomes and existing cancer-specific characteristics. Patients and methods Patients aged 18 or older with laboratory-confirmed COVID-19 between June 1, 2020, and December 31, 2020, were identified (n = 314 004) from the Optum® de-identified COVID-19 Electronic Health Record (EHR) derived from more than 700 hospitals and 7000 clinics in the United States. To allow sufficient observational time, patients with less than one year of medical history in the EHR dataset before their COVID-19 tests were excluded (n = 42 365). Assessed COVID-19 outcomes including all-cause 30-day mortality, hospitalization, ICU admission, and ventilator use, which were compared using relative risks (RRs) according to cancer status and treatments. Results Among 271 639 patients with COVID-19, 18 460 had at least one cancer diagnosis: 8034 with a history of cancer and 10 426 with newly diagnosed cancer within one year of COVID-19 infection. Patients with a cancer diagnosis were older and more likely to be male, white, Medicare beneficiaries, and have higher prevalences of chronic conditions. Cancer patients had higher risks for 30-day mortality (RR 1.07, 95% CI 1.01–1.14, P = 0.028) and hospitalization (RR 1.04, 95% CI 1.01–1.07, P = 0.006) but without significant differences in ICU admission and ventilator use compared to non-cancer patients. Recent cancer diagnoses were associated with higher risks for worse COVID-19 outcomes (RR for mortality 1.17, 95% CI 1.08–1.25, P<0.001 and RR for hospitalization 1.10, 95% CI 1.06–1.14, P<0.001), particularly among recent metastatic (stage IV), hematological, liver and lung cancers compared with the non-cancer group. Among COVID-19 patients with recent cancer diagnosis, mortality was associated with chemotherapy or radiation treatments within 3 months before COVID-19. Age, black patients, Medicare recipients, South geographic region, cardiovascular, diabetes, liver, and renal diseases were also associated with increased mortality. Conclusions and relevance Individuals with cancer had higher risks for 30-day mortality and hospitalization after SARS-CoV-2 infection compared to patients without cancer. More specifically, patients with a cancer diagnosis within 1 year and those receiving active treatment were more vulnerable to worse COVID-19 outcomes.
Impairments in ankle range of motion, dorsi and plantar flexors muscle strength and gait speed in patients with chronic venous disorders: A systematic review and meta-analysis

Objective To verify the differences in ankle range of motion (ROM), muscle strength of dorsi and plantar flexors, and gait speed among healthy subjects, and patients with chronic venous disorders (CVD) with and without venous leg ulcer. Methods A systematic review and meta-analysis (http://osf.io/b7n3k) were conducted following a search of MEDLINE, Web of Science, CINAHL, LILACS, Scopus, and EMBASE databases. Results Eight papers were included. The ankle ROM was significantly lower both in dorsiflexion and plantar flexion in patients with venous leg ulcer when compared to healthy individuals and CVD patients without venous leg ulcer. The muscle strength of the plantar flexors and gait speed were reduced in CVD patients when compared to healthy ones. Conclusion Impaired muscle strength and gait speed can be detected in CVD patients compared to healthy individuals, and ankle ROM tends to be reduced in CVD patients even in the absence of venous leg ulcers.
Comparative analysis of web-based programs for single amino acid substitutions in proteins

Single amino-acid substitution in a protein affects its structure and function. These changes are the primary reasons for the advent of many complex diseases. Analyzing single point mutations in a protein is crucial to see their impact and to understand the disease mechanism. This has given many biophysical resources, including databases and web-based tools to explore the effects of mutations on the structure and function of human proteins. For a given mutation, each tool provides a score-based outcomes which indicate deleterious probability. In recent years, developments in existing programs and the introduction of new prediction algorithms have transformed the state-of-the-art protein mutation analysis. In this study, we have performed a systematic study of the most commonly used mutational analysis programs (10 sequence-based and 5 structure-based) to compare their prediction efficiency. We have carried out extensive mutational analyses using these tools for previously known pathogenic single point mutations of five different proteins. These analyses suggested that sequence-based tools, PolyPhen2, PROVEAN, and PMut, and structure-based web tool, mCSM have a better prediction accuracy. This study indicates that the employment of more than one program based on different approaches should significantly improve the prediction power of the available methods.
The role of surrogate models in combined aeroelastic and structural optimization of cable-stayed bridges with single box deck

The aeroelastic phenomena represent a crucial issue in the design of long span bridges and their relevance grows as the length of the spans is increased, which is the current trend in these mega-structures. The search for the best performing deck cross-section, as well as the search of the most economic bridge design, are two of the most relevant goals for bridge designers. Hence, the pursuit of good aerodynamic performance of the bridge deck cross-section and the structural optimization of the bridge are destined to converge in a unified process to achieve more efficient bridge designs, given their interdependence. This paper presents an integrated methodology based on a surrogate-based optimization process to obtain an optimum bridge design considering structural and aeroelastic constraints. The deck cross-section used in this work is the well-known G1 section, in which two deck shape variables are considered. The aerodynamic behavior of the cross sections analyzed by the optimization algorithm is given by a surrogate model trained with a set of designs calculated with CFD techniques. The structural performance is analyzed by means of finite element analysis. The areas and prestressing forces of the stays and the deck shape and plate thickness are considered as design variables, and the optimization of the bridge is carried out by a gradient-based optimization algorithm.
Associations between microbial communities and key chemical constituents in U.S. domestic moist snuff

Background Smokeless tobacco (ST) products are widely used throughout the world and contribute to morbidity and mortality in users through an increased risk of cancers and oral diseases. Bacterial populations in ST contribute to taste, but their presence can also create carcinogenic, Tobacco-Specific N-nitrosamines (TSNAs). Previous studies of microbial communities in tobacco products lacked chemistry data (e.g. nicotine, TSNAs) to characterize the products and identify associations between carcinogen levels and taxonomic groups. This study uses statistical analysis to identify potential associations between microbial and chemical constituents in moist snuff products. Methods We quantitatively analyzed 38 smokeless tobacco products for TSNAs using liquid chromatography with tandem mass spectrometry (LC-MS/MS), and nicotine using gas chromatography with mass spectrometry (GC-MS). Moisture content determinations (by weight loss on drying), and pH measurements were also performed. We used 16S rRNA gene sequencing to characterize the microbial composition, and additionally measured total 16S bacterial counts using a quantitative PCR assay. Results Our findings link chemical constituents to their associated bacterial populations. We found core taxonomic groups often varied between manufacturers. When manufacturer and flavor were controlled for as confounding variables, the genus Lactobacillus was found to be positively associated with TSNAs. while the genera Enteractinococcus and Brevibacterium were negatively associated. Three genera (Corynebacterium, Brachybacterium, and Xanthomonas) were found to be negatively associated with nicotine concentrations. Associations were also investigated separately for products from each manufacturer. Products from one manufacturer had a positive association between TSNAs and bacteria in the genus Marinilactibacillus. Additionally, we found that TSNA levels in many products were lower compared with previously published chemical surveys. Finally, we observed consistent results when either relative or absolute abundance data were analyzed, while results from analyses of log-ratio-transformed abundances were divergent.
Use of Machine Learning Consensus Clustering to Identify Distinct Subtypes of Black Kidney Transplant Recipients and Associated Outcomes.

Importance Among kidney transplant recipients, Black patients continue to have worse graft function and reduced patient and graft survival. Better understanding of different phenotypes and subgroups of Black kidney transplant recipients may help the transplant community to identify individualized strategies to improve outcomes among these vulnerable groups. Objective To cluster Black kidney transplant recipients in the US using an unsupervised machine learning approach. Design, Setting, and Participants This cohort study performed consensus cluster analysis based on recipient-, donor-, and transplant-related characteristics in Black kidney transplant recipients in the US from January 1, 2015, to December 31, 2019, in the Organ Procurement and Transplantation Network/United Network for Organ Sharing database. Each cluster's key characteristics were identified using the standardized mean difference, and subsequently the posttransplant outcomes were compared among the clusters. Data were analyzed from June 9 to July 17, 2021. Exposure Machine learning consensus clustering approach. Main Outcomes and Measures Death-censored graft failure, patient death within 3 years after kidney transplant, and allograft rejection within 1 year after kidney transplant. Results Consensus cluster analysis was performed for 22 687 Black kidney transplant recipients (mean [SD] age, 51.4 [12.6] years; 13 635 men [60%]), and 4 distinct clusters that best represented their clinical characteristics were identified. Cluster 1 was characterized by highly sensitized recipients of deceased donor kidney retransplants; cluster 2, by recipients of living donor kidney transplants with no or short prior dialysis; cluster 3, by young recipients with hypertension and without diabetes who received young deceased donor transplants with low kidney donor profile index scores; and cluster 4, by older recipients with diabetes who received kidneys from older donors with high kidney donor profile index scores and extended criteria donors. Cluster 2 had the most favorable outcomes in terms of death-censored graft failure, patient death, and allograft rejection. Compared with cluster 2, all other clusters had a higher risk of death-censored graft failure and death. Higher risk for rejection was found in clusters 1 and 3, but not cluster 4. Conclusions and Relevance In this cohort study using an unsupervised machine learning approach, the identification of clinically distinct clusters among Black kidney transplant recipients underscores the need for individualized care strategies to improve outcomes among vulnerable patient groups.
Die swell as an objective in the design of polymer extrusion dies

This paper focuses on developing a suitable objective function for the inverse form of profile extrusion die design. First, the problem is motivated by introducing the extrusion die design process. After describing how Computer Aided Engineering enhances the traditional design process, a set of applicable objective functions is introduced. The main criteria for identifying the most suitable are computational applicability, robustness and smoothness of the functional. After discussing the results of several simulations, an objective function is proposed for the implementation in an existing optimization framework utilizing parameter-based optimization.
Holistic Health Practices of Rural Thai Homebound Older Adults: A Focused Ethnographic Study

Introduction: Supporting independent functioning of homebound, chronically ill older adults (HOAs) is a major concern across cultures. In Thailand, actions HOAs take to remain independent and maintain their holistic (mental, physical, and spiritual) health is understudied. Therefore, we explored self-care practices used by rural Thai HOAs to maintain their independence. Methods: We used a focused ethnographic approach, recruiting HOAs, their families, and community members from a rural area in Southern Thailand. Data were analyzed using content analysis. Results: Sixteen HOAs and 23 family/community members participated. Three themes emerged: self-care to stay healthy, sharing life with family and society in a positive way, incorporating both folk and modern medicine to maintain health. Factors facilitating holistic health practices were supportive family network, Thai cultural beliefs, community strength and support, and health care services. Discussion/Conclusions: These findings may help health care professionals develop interventions supporting holistic health practices of Thai HOAs to remain independent.
Impact of the covid-19 pandemic on the psychological status and cortisol level of multiple sclerosis patients

ABSTRACT This study aimed to compare the changes in psychological status and cortisol level between multiple sclerosis (MS) patients and a healthy control group (HC). One hundred and fifty-five MS patients and 165 HC subjects had completed questionnaires consisting of 36-Item short health survey (SF-36), Hamilton Anxiety Rating Scale (HAM-A), Beck Depression Inventory-II (BDI-II), and fatigue severity score (FSS) before and after (one year from onset) COVID-19 pandemic. The salivary cortisol level was also measured again in 26 MS patients and 14 control individuals. MS patients had lower scores of mental and physical components of quality of life (MCS and PCS), but higher HAM-A, FSS, and BDII scores than HC Before and after COVID-19. There were significant changes in scores of MCS, BDI-II, HAM-A, and FSS after the COVID-19 outbreak in MS patients, but not in PCS score. In HC group, we observed significant changes in scores of MCS, BDI-II, and FSS, but not in scores of PCS and HAM-A. Compared to HC, the MS patients reported greater deterioration in the overall mental health component of their health-related quality of life, and their levels of anxiety and fatigue over the study period. The change of cortisol levels was non-significant with a small effect size.
Biological sensing using anomalous hall effect devices

This paper outlines an approach to biological sensing involving the use of spintronic devices to sense magnetic particles attached to biological carriers. We developed an enzyme-linked immunosorbent assay (ELISA)-based Anomalous Hall Effect magnetic sensor via surface functionalization using Triethoxysilylundecanal (TESUD). The proposed sensor uses a CoFeB/MgO heterostructure with a perpendicular magnetic anisotropy. Through several sets of magnetic layer thickness, this work also explored the optimization process of ferromagnetic layer used. Our spintronics-based biosensor is compatible with semiconductor fabrication technology and can be effectively miniaturized to integrate with semiconductor chips, which has the advantage of reduced manufacturing cost and reduced power consumption. The proposed sensor provides real-time measurement results and it is competitive to conventional biological colorimetric measurement systems in terms of accuracy and immediacy.
Role of a 19S Proteasome Subunit- PSMD10(Gankyrin) in Role of a 19S Proteasome Subunit- PSMD10(Gankyrin) in Neurogenesis of Human Neuronal Progenitor Cells Neurogenesis of Human Neuronal Progenitor Cells

is a widely known oncoprotein which aspects many hall mark proper-ties of cancer. However, except proteasome assembly chaperon function its role in normal cell function remains unknown. To address this issue, we induced PSMD10 Gankyrin overexpression in HEK293 cells and the resultant large-scale changes in gene expression profile were analyzed. We constituted networks from microarray data of these differentially expressed genes and carried out extensive topological analyses. The overrecurring yet consistent theme that appeared throughout analysis using varied network metrics is that all genes and interactions identified as important would be involved in neurogenesis and neuronal development. Intrigued we tested the possibility that PSMD10 Gankyrin may be strongly associated with cell fate decisions that commit neural stem cells to differentiate into neurons. Overexpression of PSMD10 Gankyrin in human neuronal progenitor cells facilitated neuronal differentiation via β -catenin Ngn1 pathway. Here for the first time we provide preliminary and yet compelling experimental evidence for the involvement of a potential oncoprotein – PSMD10 Gankyrin , in neuronal differentiation.
This information is current as Inflammation Resolution 1 Regulates Neutrophil Clearance during Regulated Kinase − Serum and Glucocorticoid

Print ISSN: 0022-1767 Online ISSN: 1550-6606. Immunologists, Inc. All rights reserved. Copyright © 2014 by The American Association of 9650 Rockville Pike, Bethesda, MD 20814-3994. The American Association of Immunologists, Inc., is published twice each month by The Journal of Immunology at U N IV E R IT A E T -U N D L A N D E SB IB L IO T H E K D U E SE L D O R F on Jauary 9, 2014 hp://w w w jim m unl.org/ D ow nladed from
Compositional Feasibility Analysis for Conditional Real-Time Task Compositional Feasibility Analysis for Conditional Real-Time Task Models Models

Abstract Conditional real-time task models, which are generalizations of periodic, sporadic, and multi-frame tasks, represent real world applications more accurately. These models can be classified based on a tradeoff in two dimensions – expressivity and hardness of schedulability analysis. In this work, we introduce a class of conditional task models and derive efficient schedulability analysis techniques for them. These models are more expressive than existing models for which efficient analysis techniques are known. In this work, we also lay the groundwork for schedulability analysis of hierarchical scheduling frameworks with conditional task models. We propose techniques that abstract timing requirements of conditional task models, and support compositional analysis using these abstractions. Abstract Conditional real-time task models, which are generalizations of periodic, sporadic, and multi-frame tasks, represent real world applications more accurately. These models can be classiﬁed based on a tradeoff in two dimensions – expressivity and hardness of schedulability analysis. In this work, we introduce a class of conditional task models and derive efﬁcient schedulability analysis techniques for them. These models are more expressive than existing models for which efﬁcient analysis techniques are known. In this work, we also lay the groundwork for schedulability analysis of hierarchical scheduling frameworks with conditional task models. We propose techniques that abstract timing requirements of conditional task models, and support compositional analysis using these abstractions.
Study on Face Robot for Active Human Interface

In order to develop “Active Human Interface (AHI) ” that realizes heart-to-heart communication between intelligent machine and human being, we've been undertaking the investigation of the method for improving the sensitivity or “KANSEI” communication between intelligent machine and human being. This paper deals with the mechanical aspects of “Face Robot” that produces facial expressions in order to express the artificial emotions as similar as human being. As actuators move the face skin of the face robot, we select the flexible microactuator (FMA) driven by air pressure for the sake of moving the control points of the face robot corresponding to Action Unit (AU) s, and we design the aluminium frame of the Face Robot for disposing the FMA and then we make the skull frame onto the aluminium frame. The skin of the face robot made by silicon rubber covers up the skull frame. Then we undertake psychological recognition test by showing the face images of 6 basic facial expressions expressed on the Face Robot, and the results show us that the correct recognition ratio accomplishes 83.3% for 6 basic facial expressions. This high ratio shows the possibility of Face Robot as a “KANSEI” communication medium between intelligent machine and human being.
http://beei.org Application of green-emitting Sr 3 WO 6 :U phosphor to enhance lumen efficiency of

Info 2022 The article demonstrates a sample of spectrum in the phosphor-covered WLED (abbreviated as p-WLED) containing one blue chip, one red chip along with phosphors of green and yellow colors. We acquired the p-WLEDs’ ideal spectrum in the CCTs, which is short for correlated color temperature range from 2700 K to 6500 K using a nonlinear program in order to optimize the radiation’s lumen efficiency (LER) when the R9 strong red's color rendering indexes (CRIs) and special CRIs exceed 98. From the outcomes of the recreation, p-WLEDs containing an InGaN blue chip with 450 nm wavelength, an AlGaInP red chip with 634 nm wavelength, along with green and yellow silicate phosphors with the value of 507 and 580 nm wavelength correspondingly; can produce white lights with CRI values of around 98 and particular CRI values of R9 for intense reds above 98. For saturated red, yellow, green, and blue colors, the average values of the particular CRIs R9 through R12 exceed 95. In CCT values of 2700 K to 6500 K, the R13 value in female figures is around 100, with LER values reaching 296
Review of Paradiscocyrtus Mello-Leitão, 1927 (Gonyleptidae, Opiliones), with the transfer of Paradiscocyrtus cerayanus Roewer, 1929 to Discocyrtus Holmberg, 1878 and a new interpretation of its type locality

ABSTRACT After the type species of Paradiscocyrtus Mello-Leitão, 1927 (Paradiscocyrtus neglectus Mello-Leitão, 1927) was recognized and redescribed, the difference between it and the other two species of the genus proved to be remarkable. Herein, a maximum parsimony phylogenetic analysis with morphological characters (2519 scorings; 28 taxa; 105 characters) was performed under equal and implied weights to test the monophyly of Paradiscocyrtus for the first time. According to the relatively stable results obtained, herein: 1) the transfer of Paradiscocyrtus cerayanus Roewer, 1929 to Discocyrtus Holmberg, 1878 (forming Discocyrtus cerayanus n. comb.) is proposed, and Paradiscocyrtus becomes monotypic (represented only by its type species); 2) the assignment of Paradiscocyrtus trochanteralis Roewer, 1929 (already detected as junior synonym of Bunopachylus orientalis (Roewer, 1913)) to Roeweriinae Carvalho & Kury, 2018 is corroborated; 3) the presence of Paradiscocyrtus in DRMN-group is detected and its relationship with Discocyrtus sensu stricto is discussed. Paradiscocyrtus can be separated from Discocyrtus s. str. by some external characters (as dorsal scutum gamma-type, a pair of finger-phalanx-shaped spines on the scutal area III and coxa IV retrolateral apophysis with the same length as the prolateral) and genital characters (as the stylus of glans slightly dorsally convex). Discocyrtus cerayanus n. comb. is herein redescribed, and its geographic distribution is contested. The meaning of “Ceraya”, assigned to the specimen SMF RII 996/53 (male holotype of Paradiscocyrtus cerayanus), is newly attributed to “Serra do Caraça”, a mountain range in Minas Gerais, Brazil instead of Northeastern Brazilian “Ceará”.