bluuebunny/crossref_metadata_2025_split huggingface dataset:
Imagining and Implementing Healthy City Interventions: Combined Results from Parallel Concept Mapping Exercises in Montreal with Community Members and Stakeholders
Authors: Stephens Zoe Poirier , Firth Caislin Leah , Cantinotti Michael , Fuller Daniel , Winters Meghan , Kestens Yan 
Published: September 2021

Abstract

Background Built environment interventions provide structural solutions to complex urban challenges. Though community voices are part of municipal decision-making, planners and public health professionals need tools to better integrate their perspectives for desired changes (what) in the successful implementation of built environment programs and interventions (how). Methods Two simultaneous concept mapping exercises were conducted as part of the INTErventions, Research, and Action in Cities Team (INTERACT) study. Community members (a subsample of the INTERACT cohort) were prompted about neighbourhood changes that could improve their quality of life, while stakeholders (city staff, NGO, public health officials) were prompted about factors that contribute to successful implementation of urban interventions. Through each exercise, items were generated, grouped, and rated on importance and feasibility. Concept maps were produced using multi-dimensional scaling and hierarchical cluster analysis. The clusters or themes identified by community members’ and the stakeholders’ were combined into a Community x Stakeholder Matrix, which served to frame a discussion with stakeholders on built environment interventions. Results Thirty-two community members generated 41 unique responses, which resulted in 6 clusters: 1: Strengthen public transportation, 2: Reduce space dedicated to cars, 3: Foster local social connections, 4: Develop quality cycling infrastructure, 5: Improve pedestrian accessibility, and 6: Green the city. Thirty-seven stakeholders generated 40 unique items, which resulted in 5 clusters: 1: Collaboration with stakeholders and citizens, 2: Planning and evaluation, 3: Common vision for the future, 4: Regulatory framework and funding, and 5: Context-informed approach. The clusters were then used to produce a Community x Stakeholder Matrix to inform healthy cities intervention planning and evaluation.Conclusion Capturing the collective vision of our urban environments and understanding the processes underlying change through concept mapping can lead to more inclusive and successful changes. We propose combining different perspectives in a matrix as a method for evaluation and strategic planning that can help facilitate the integration of community voices into operational planning.
Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection
Authors: Asgharnezhad Hamzeh , Shamsi Afshar , Alizadehsani Roohallah , Khosravi Abbas , Nahavandi Saeid , Sani Zahra Alizadeh , Sriniva Dipti , Islam Sheikh Mohammed Shariful 
Published: September 2021

Abstract
Deep neural networks (DNNs) have been widely applied for detecting COVID-19 in medical images. Existing studies mainly apply transfer learning and other data representation strategies to generate accurate point estimates. The generalization power of these networks is always questionable due to being developed using small datasets and failing to report their predictive confidence. Quantifying uncertainties associated with DNN predictions is a prerequisite for their trusted deployment in medical settings. Here we apply and evaluate three uncertainty quantification techniques for COVID-19 detection using chest X-Ray (CXR) images. The novel concept of uncertainty confusion matrix is proposed and new performance metrics for the objective evaluation of uncertainty estimates are introduced. Through comprehensive experiments, it is shown that networks pertained on CXR images outperform networks pretrained on natural image datasets such as ImageNet. Qualitatively and quantitatively evaluations also reveal that the predictive uncertainty estimates are statistically higher for erroneous predictions than correct predictions. Accordingly, uncertainty quantification methods are capable of flagging risky predictions with high uncertainty estimates. We also observe that ensemble methods more reliably capture uncertainties during the inference. DNN-based solutions for COVID-19 detection have been mainly proposed without any principled mechanism for risk mitigation. Previous studies have mainly focused on on generating single-valued predictions using pretrained DNNs. In this paper, we comprehensively apply and comparatively evaluate three uncertainty quantification techniques for COVID-19 detection using chest X-Ray images. The novel concept of uncertainty confusion matrix is proposed and new performance metrics for the objective evaluation of uncertainty estimates are introduced for the first time. Using these new uncertainty performance metrics, we quantitatively demonstrate where and when we could trust DNN predictions for COVID-19 detection from chest X-rays. It is important to note the proposed novel uncertainty evaluation metrics are generic and could be applied for evaluation of probabilistic forecasts in all classification problems.
Metabolic plasticity can amplify ecosystem responses to global warming
Authors: Kordas Rebecca , Pawar Samraat , Woodward Guy , O'Gorman Eoin 
Published: September 2021

Abstract
Organisms have the capacity to alter their physiological response to warming through acclimation or adaptation, but empirical evidence for this metabolic plasticity across species within food webs is lacking, and a generalisable framework does not exist for modelling its ecosystem-level consequences. Here we show that the ability of organisms to raise their metabolic rate following chronic exposure to warming decreases with increasing body size. Chronic exposure to higher temperatures also increases the sensitivity of organisms to short-term warming, irrespective of their body size. A mathematical model parameterised with these findings shows that metabolic plasticity could account for an additional 60% of ecosystem energy flux with just +2 °C of warming. This could explain why ecosystem respiration continues to rise in long-term warming experiments and highlights the need to embed metabolic plasticity in predictive models of global warming impacts on ecosystems.
Workplace Violence Against Healthcare Professionals in Thai Tertiary Hospitals
Authors: Kueanongkhun Sophida , Grisurapong Siriwan , Techatraisak Kitirat , Guadamuz Thomas E. 
Published: September 2021

Abstract
Background: Thailand lacks evidence of the current prevalence of workplace violence (WPV) at tertiary hospitals. This study aimed to examine the prevalence of, perpetrators of, and factors associated with WPV against healthcare workers in excellent tertiary hospitals in Thailand.Methods: This was a mixed-methods study. A questionnaire was individually administered by an interviewer to 220 healthcare workers using a tablet with an online platforms, and the completion rate was 100%. The study was conducted from July 2018 to March 2019. Pearson’s chi-square test was used to examine the variables related to any violence according to individual and work data. Odds ratios with 95% confidence intervals were used to assess risk factors for exposure to violence using a logistic regression model. Thirty participants provided additional qualitative data that were used for thematic analysis.Results: The findings revealed that in the past 12 months, 63.6% of the participants experienced violence at their workplaces. The most common type of violence reported was verbal violence (56.4%), followed by physical violence (24.1%), bullying (16.4%), sexual harassment (4.1%), and racial harassment (3.6%). Multivariable logistic regression revealed that the correlates of violence at hospitals included being male (OR = 4.28, 95% CI 1.50–12.19), working in an outpatient department (OR = 2.55, 95% CI 1.42–4.58), and having direct contact with clients (OR = 3.12, 95% CI 1.25–7.73). The qualitative data revealed 5 major themes.Conclusion: There is a high prevalence of violence against all healthcare workers at excellent tertiary hospitals in Thailand. Policymakers need to be aware of the roots and risk factors for all types of WPV. The results could also contribute to the development of appropriate policies, interventions for conflicts based on intergenerational gaps, reporting, investigation processes, preventive measures, and zero-tolerance protocols for all healthcare workers.
OSW-1 Induces Apoptosis and Cyto-Protective Autophagy, and Synergizes with Doxorubicin on Spontaneous Metastasis of Triple Negative Breast Cancer
Authors: Wu Mengling , Xi Huizhi , Liao Mengya , Ma Hongbo , Li Shanrui , Huang Qianrui , Zhang Yiwen , Xia Yong 
Published: September 2021

Abstract
Background

Triple-negative breast cancer (TNBC) is the most malignant subtype of breast cancer and chemotherapy using drugs such as doxorubicin is the main treatment strategy. However, drug resistance and dose-dependent toxicities restricted its clinical use. Natural products are major sources of anti-tumor drugs. OSW-1 is a natural compound that has shown strong anti-cancer effects in several cancer types, but its effects on the efficacies of chemotherapy in TNBC and the underlying mechanism remain unclear.
Methods

We investigated the effects of OSW-1 on the viabilities, apoptosis and autophagy in 4T1 and MDA-MB-231 cells. The synergistic effects of combination with OSW-1 and doxorubicin on TNBC growth and spontaneous metastasis were examined in vitro and in vivo.
Results

OSW-1 induces mitochondria-dependent apoptosis and cyto-protective autophagy in TNBC cells in vitro. In addition, OSW-1 and doxorubicin exhibits strong synergistic anti-TNBC capabilities both in vivo and in vitro. The combination treatment can strongly inhibit spontaneous metastasis in 4T1 model. Consistent with this inhibition, the proportion of CD8+ T lymphocytes in the lung microenvironment were significantly increased after combination treatment.
Conclusions

This study indicates that the combination therapy with natural compound and chemotherapeutic drug could be a promising anti-TNBC strategy which deserves further investigation.
Giant Hysteromyoma After Vaginoplasty in a Woman With Mayer-Rokitansky-Küster-Hauser (MRKH) Syndrome: Case Report and Review of the Literature
Authors: Qiu Shikang , Xie Yunkai , Zou Yonghui , Wang Fei 
Published: September 2021

Abstract
Background: Mayer-Rokitansky-Küster-Hauser (MRKH) syndrome is a congenital disorder characterized by congenital absence of both the uterus and vagina. Some patients may need an operation to create a neovagina. However, the preservation of nonfunctional rudimentary uteri after surgery usually leads to some long-term complications. Case presentation: We report a rare case of a giant hysteromyoma after vaginoplasty in a woman with MRKH syndrome. A 31-year-old Chinese woman who was diagnosed with MRKH syndrome and received vaginal reconstruction 4 years ago presented with abdominal distension for half a month. Transabdominal ultrasonography showed a firm mass of approximately 10 x 10 cm in the lower abdomen. She then received an exploratory laparotomy, and a leiomyoma from her rudimentary uterus was removed.Conclusions: Gynecologists should pay attention to the risks of pelvic complications in women with MRKH syndrome who have undergone previous surgery and then choose suitable therapeutic methods.
A Proteome-Wide Association Study Identified Candidate Human Brain Proteins Associated with Coffee Consumption
Authors: Li Chun'e , Liang Xiao , Jia Yumeng , Wen Yan , Zhang Huijie , Cheng Shiqiang , Pan Chuyu , Zhang Jingxi , Zhang Zhen , Chen Yujing , Yang Xuena , Meng Peilin , Yao Yao , Zhang Feng , Wu Cuiyan , Wang Sen , Ning Yujie , Wang Xi 
Published: September 2021

Abstract
Background
Increasing evidence suggests the association between caffeine and the brain and nervous system. However, there is limited research on the genetic associations between coffee consumption subtypes and brain proteome, plasma proteomes, and peripheral metabolites.
Methods
First, proteome-wide association study (PWAS) of coffee consumption subtypes was performed by integrating two independent genome-wide association study (GWAS) datasets (91,462–502,650 subjects) with two reference human brain proteomes (ROS/MAP and Banner), by using the FUSION pipeline. Second, transcriptome-wide association study (TWAS) analysis of coffee consumption subtypes was conducted by integrating the two gene expression weight references (RNAseq and splicing) of brain RNA-seq and the two GWAS datasets (91,462–502,650 subjects) of coffee consumption subtypes. Finally, we used the LD Score Regression (LDSC) analysis to evaluate the genetic correlations of coffee consumption subtypes with plasma proteomes and peripheral metabolites.
Results
For the traits related to coffee consumption, we identified 3 common PWAS proteins, such as MADD (P PWAS−Banner−dis=0.0114, P PWAS−ROS/MAP−rep =0.0489). In addition, 11 common TWAS genes were found in two cohorts, such as ARPC2 (P TWAS−splicing−dis =2063×10− 12, P TWAS−splicing−dis =1.25×10− 10, P TWAS−splicing−dis =1.24e-08, P TWAS−splicing−rep =3.25×10− 9 and P TWAS−splicing−rep =3.42×10− 13). Importantly, we have identified 8 common genes between PWAS and TWAS, such as ALDH2 (P PWAS−banner−rep =1.22×10− 22, PTWAS− splicing−dis = 4.54×10− 92). For the LDSC analysis of human plasma proteome, we identified 11 plasma proteins, such as CHL1 (P dis = 0.0151, P rep =0.0438). For the LDSC analysis of blood metabolites, 5 metabolites have been found, such as myo-inositol (P dis = 0.0073, P dis = 0.0152, P dis =0.0414, P rep =0.0216).
Conclusions
We identified several brain proteins and genes associated with coffee consumption subtypes. In addition, we also detected several candidate plasma proteins and metabolites related to these subtypes.
The association between handgrip strength and depression in cancer survivors: a cross-section study
Authors: Zhang Xiao-Ming , Zhang Zhi-Biao , Chen Wei , Wu Xinjuan 
Published: September 2021

Abstract
BackgroundThe association between handgrip strength and depression in cancer survivors was unknown. We aim to examine the associations of handgrip strength and depression in cancer survivors by using public data (National Health and Nutrition Examination Survey). MethodsWe combined two waves of the data of the National Health and Nutrition Examination Survey during 2011-2014 to explore this important issue. The variable of handgrip strength was extracted by the maximum value of each hand. The depressive symptom was assessed by the Patient Health Questionnaire (PHQ-9) with the cut-off >=10 points indicating depressive symptoms. Other characteristics and health-related variables were evaluated. Multivariable logistic regression models were adopted to explore the associations between handgrip strength or low handgrip strength and depressive symptoms by adjusting for potential confounding factors. ResultsThere were 992 cancer survivors in our final analysis, with 456 (45.97%) male and the mean (SD) age of this whole group being 64.75 (14.02) years. The prevalence of low handgrip strength and depression was 20.36% and 13.31%, respectively. The results showed that handgrip strength was negatively associated with depression (OR=0.97,95%CI:0.96-0.99; P=0.01). In addition, after adjusting age, race, education, marital status, sleep disorder, history of stroke, polypharmacy and BMI, cancer survivors with low handgrip strength had a 2.11-fold risk of depression, compared to those with normal handgrip strength (OR=2.11,95%CI:1.19-3.73; P=0.01). ConclusionsLow handgrip strength, simple and modifiable parameter, is associated with a higher risk of depression in cancer survivors. Prospective cohort studies are warranted to confirm this association in the future.
Identification and Validation of a Seven m6A-related lncRNAs Signature Predicting Prognosis of Ovarian Cancer
Authors: Li Yan , Wang Xiaoying , Han Yue , Li Xun 
Published: September 2021

Abstract
Background: Long non-coding RNAs (lncRNAs) play an important role in angiogenesis, immune response, inflammatory response and tumor development and metastasis. m6 A (N6 - methyladenosine) is one of the most common RNA modifications in eukaryotes. The aim of our research was to investigate the potential prognostic value of m6A-related lncRNAs in ovarian cancer (OC).Methods: The data we need for our research was downloaded from the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database. Pearson correlation analysis between 21 m6A regulators and lncRNAs was performed to identify m6A-related lncRNAs. Univariate Cox regression analysis was implemented to screen for lncRNAs with prognostic value. A least absolute shrinkage and selection operator (LASSO) Cox regression and multivariate Cox regression analyses was used to further reduct the lncRNAs with prognostic value and construct a m6A-related lncRNAs signature for predicting the prognosis of OC patients. Results: 275 m6A-related lncRNAs were obtained using pearson correlation analysis. 29 m6A-related lncRNAs with prognostic value was selected through univariate Cox regression analysis. Then, a seven m6A-related lncRNAs signature was identified by LASSO Cox regression. Each patient obtained a riskscore through multivariate Cox regression analyses and the patients were classified into high-and low-risk group using the median riskscore as a cutoff. Kaplan-Meier curve revealed that the patients in high-risk group have poor outcome. The receiver operating characteristic curve revealed that the predictive potential of the m6A-related lncRNAs signature for OC was powerful. The predictive potential of the m6A-related lncRNAs signature was successfully validated in the GSE9891, GSE26193 datasets and our clinical specimens. Multivariate analyses suggested that the m6A-related lncRNAs signature was an independent prognostic factor for OC patients. Moreover, a nomogram based on the expression level of the seven m6A-related lncRNAs was established to predict survival rate of patients with OC. Finally, a competing endogenous RNA (ceRNA) network associated with the seven m6A-related lncRNAs was constructed to understand the possible mechanisms of the m6A-related lncRNAs involed in the progression of OC.Conclusions: In conclusion, our research revealed that the m6A-related lncRNAs may affect the prognosis of OC patients and identified a seven m6A-related lncRNAs signature to predict the prognosis of OC patients.
Biomimetic Nanoparticles Blocking Autophagy for Enhanced Chemotherapy and Metastasis Inhibition via Reversing Focal Adhesion Disassembly
Authors: Shi Yesi , Lin Gan , Zheng Huili , Mu Dan , Chen Hu , Lu Zhixiang , He Pan , Zhang Yang , Liu Chao , Lin Zhongning , Liu Gang 
Published: September 2021

Abstract
BackgroundAutophagy is a conserved catabolic process, which plays an important role in regulating tumor cell motility and degrading protein aggregates. Chemotherapy-induced autophagy may lead to tumor distant metastasis and even chemo-insensitivity in the therapy of hepatocellular carcinoma (HCC). However, a vast majority of HCC cases do not produce a significant response to monotherapy with autophagy inhibitors. ResultsIn this work, we develop a biomimetic co-delivery nanoformulation (TH-NP) co-encapsulating Oxaliplatin (OXA)/HCQ (hydroxychloroquine, an autophagy inhibitor) to execute targeted autophagy inhibition, reduce tumor cell migration and invasion in vitro and attenuate metastasis in vivo. Especially, TH-NPs can significantly improve OXA and HCQ concentration with approximately 21 and 13-fold increment in tumor tissues compared to the free mixture of HCQ/OXA. Moreover, the tumor-targeting TH-NPs release HCQ can alkalize the acidic lysosomes and thus inhibit the fusion of autophagosomes and lysosomes, leading to most effective blockade of autophagic flux compared to various controls. This largely improves chemotherapeutic performance of OXA in subcutaneous and orthotopic HCC mouse models. Importantly, TH-NPs also exhibit the most effective inhibition of tumor metastasis in orthotopic HCCLM3 models, and in the HepG2, Huh-7 or HCCLM3 metastatic mouse models. Then, we illustrate the enhanced metastasis inhibition is attributed to the blockade or reverse of the autophagy-mediated degradation of focal adhesions (FAs) including E-cadherin and paxillin. ConclusionsTH-NPs can perform an enhanced chemotherapy and antimetastatic effect, and may represent a promising strategy for HCC therapy in clinics.
Analysis of Membrane Deploying Process Based on Miura Origami
Authors: Zhang Jing , Shen Youqing , Guo Hongwei , Liu Rongqiang , Kou Ziming 
Published: September 2021

Abstract
Aiming at a series of characteristics of the membrane structure in the folded configuration during the deploying process, the initial defect of the membrane crease is introduced by proxy model, and to realize the study of the deploying process of the membrane. Based on the finite element method, the deploying process of the multi-element Miura membrane is simulated. And the stretch ratio, maximum mises stress, deployment rate, wrinkle deformation, etc. of membrane structure are discussed. The existence of creases can cause damage to the membrane surface, so the total length of the creases should be within an appropriate size range. By changing the number of elements and the longitudinal crease angle of the same size membrane respectively, the influence of the above two factors on the total crease length, storage volume and deploying process of the folded membrane is studied. The results show that when the longitudinal crease angle is 15°, the transverse and longitudinal displacements of the Miura folded membrane with different element numbers are not synchronized during the deploying process. By keeping the number of elements constant and increasing the angle of the longitudinal creases from 15° to 45°, the synchronization of the transverse and longitudinal displacements during the membrane deploying process is gradually enhanced. In addition, the experiment on the membrane deploying process verifies the reliability of the finite element simulation results.