bluuebunny/crossref_metadata_2025_split huggingface dataset:
CVID-Associated B Cell Activating Factor Receptor Variants Change Receptor Oligomerization, Ligand Binding and Signaling Responses
Authors: Block Violeta , Sevdali Eirini , Recher Mike , Abolhassani Hassan , Hammarstrom Lennart , Smulski Cristian R. , Plebani Alessandro , Speletas Matthaios , Warnatz Klaus , Voll Reinhard E. , Lougaris Vassilios , Schneider Pascal , Eibel Hermann 
Published: December 2021

Abstract
Purpose B cell activating factor (BAFF) binding to BAFF-receptor(BAFFR) activates essential cellular functions required forthe survival of mature, human B cells. Thus,deletion ofthe BAFFR gene blocks the development of B cells at the transition from immature to mature B cells resulting in B lymphopenia and hypogammaglobulinemia. In addition to complete BAFFR deficiency, single nucleotide variants changing the primary amino acid sequence of BAFFR gene exist. Some of these variants were foundin patients suffering from immunodeficiency, autoimmunity, or B cell lymphomas. However, it remains unclearto which extent such variants disturb the activity of BAFFR. Methods Since individual differences and genetic/environmental modifiers change the expression and activity of BAFFR, we developed a cellular system that allows the unbiased analysis of BAFFR variants P21R, A52T, G64V, Dup92-95, P146S, and H159Y regarding oligomerization, signaling, and ectodomain shedding.Results Here we show that several of these variants impair BAFFR oligomerization, direct interactions between BAFFR and the B cell receptor component CD79B, BAFFR ectodomain shedding and the activation of AKT and ERK1/2. Conclusion All of these variants are pathogenic and have the potential to contribute to the development of primary antibody deficiencies, autoimmunity and lymphoma, but they most likely do not cause B lymphopenia and agammaglobulinemia like complete BAFFR deficiency.
Big Problem or Not a Big Problem: Problems to Health Care Utilization by Residence in The Gambia Among Women of Reproductive Age. A Cross Sectional Study
Authors: Barrow Ebrima , Sowe Alieu 
Published: December 2021

Abstract
Background: Ability to utilise healthcare services is desire for everyone in need. Unfortunately, challenges to health care utilization persist and they do so inequitably amongst social groups. This study aimed to examine problems to health care utilization and residential area equity in utilization among women of reproductive age in The Gambia. Methods: Data from The Gambia 2019-20 Demographic and Health Survey comprising of 11,865 women 15 – 49 years of age was used. A systematic selection method of equal probability was employed for the data collection interviews. Visiting any health facility in the last 12 months is the outcome. Problems to health care utilization was assessed using four primary factors of interest: permission to go, money needed for treatment, distance to health facility and not wanting to go alone as independent variables. Descriptive and logistic regression analysis were used to assess the frequency distribution and the association of the four factors and health care utilization by residence. The point estimates were reported in odds (OR), 95% confidence interval (CI) and p value <0.05 signified statistical significance.Results: Most women in rural (79%) and urban (83%) residential areas utilized health care services in the last 12 months. Women in urban areas who had a big problem getting permission to go and a big problem not wanting to go alone had lower odds of health care utilization compared to women who did not have a big problem getting permission to go and not wanting to go alone for health care. Women resident in rural areas who reported distance to health facility as a big problem had higher odds of health care utilization compared to women who did not have big problem concerning distance to health facility. Conclusions: Permission to go and not wanting to go alone appear to be associated with cultural norms and inadequate social support for women utilizing health care in urban residence. Policy makers should address harmful cultural norms and inadequate social support for women during health care visits to improve equity in health care utilization towards achieving universal health coverage.
Ceramides Are Early Responders In Metabolic Syndrome Development In Rhesus Monkeys
Authors: Smith Alex , Schill Jonah P. , Gordillo Ruth , Gustafson Grace E. , Rhoads Timothy W. , Burhans Maggie S. , Broman Aimee T. , Colman Ricki J. , Scherer Philipp E. , Anderson Rozalyn M. 
Published: December 2021

Abstract
Metabolic syndrome increases risk of complicating co-morbidities. Current clinical indicators reflect established metabolic impairment, preventing earlier intervention strategies. Here we show that circulating sphingolipids are altered in the very early stages of insulin resistance development. The study involved 16 overweight but healthy, euglycemic monkeys, one-half of which spontaneously developed metabolic syndrome over the course of 2 years while the other half remained healthy. As previously reported, adiposity and glycemic status were equivalent across the cohort and did not explain divergent health outcomes. Using mass spectrometry, we detected and quantified circulating ceramides and other sphingolipids in healthy and impaired animals at both time points. Several ceramides were significantly different between healthy and impaired at time of diagnosis. Correlation analysis revealed differences in the interactions among ceramides in impaired animals at diagnosis and even pre-diagnosis, when animals were clinically indistinguishable from healthy controls. Importantly, correlations between ceramides and diacylglycerols and non-esterified fatty acids were distinct for healthy and impaired states, indicative of coordinated changes in lipid handling. Impaired animals displayed extensive differences in correlations among sphingolipids even in advance of loss of insulin sensitivity. These data suggest that circulating ceramides are clinically relevant in identifying disease risk and in devising preventative strategies.
Determining the Optimal Offshore Wind Power Station Using a Two-Stage MCDM-Based Spherical Fuzzy Set Approach
Authors: Wang Chia-Nan , Nguyen Ngoc-Ai-Thy , Dang Thanh-Tuan 
Published: December 2021

Abstract
In response to challenges from the COVID-19 pandemic and climate change to achieve the goal of ensuring sustainable economic growth, offshore wind power development not only provides a clean and sustainable source of energy but also provides opportunities for economic growth and job creation. Offshore wind energy projects have been promptly suggested in Vietnam as a result of policy advancement, with the country's excellent wind resources. The success of an offshore wind energy project is decided mainly by choosing the best location for offshore wind power station (OWPS) construction, which is a complex multicriteria decision-making (MCDM) problem with the coexistence of conflicting factors. There is a problem with incomplete decision information use and information loss during the decision-making process, and it is easy to overlook the interaction difficulty in a fuzzy environment. To address the complex nature of the prioritization problem posed, this study proposes a hybrid MCDM framework combining the spherical fuzzy analytical hierarchy process (SF-AHP) and weighted aggregated sum product assessment (WASPAS). SF-AHP is used in the first stage to determine the significance levels of OWPS evaluation criteria. WASPAS is then utilized to rank locations of OWPS. A comprehensive set of evaluation criteria developed based on the concept of sustainable development has been recognized by reviewing the literature review and interviewing experts to practice the two-stage MCDM model. A real case study for Vietnam is conducted to test the effectiveness of the proposed method. The best location schemes have been determined by using the decision framework. The results of the sensitivity analysis and a comparison analysis demonstrate that the decision framework is practical and robust. Ultimately, the evaluation criteria and methodology presented in this work can serve as a theoretical foundation for the advancement of offshore wind energy and coastal development.
Emotional determinants of public responses to the risk of epidemics and pandemics: a systematic review
Authors: Kousoulis Antonis A. , Francis Mark R. , Grant Imogen , Larson Heidi J 
Published: December 2021

Abstract
Background

Understanding how people’s emotions influence their health decisions and behaviours at a population level is fundamental to designing effective communication strategies and public health interventions for infectious disease outbreaks. This review identifies relevant research to assess the role of emotional determinants and their impact on public responses to the risk of infectious disease outbreaks, specifically in relation to the uptake of public health interventions.
Methods

A comprehensive systematic review was conducted exploring the differences in public responses by emotion, infection, outcome and region. A basic consensus approach was followed in which emotional stimuli were categorised as being either pleasant or unpleasant, and predisposing people to bivalent behaviour (i.e., approach or withdrawal). All primary research studies published in five global databases between 1988-2019 were eligible for inclusion. Binomial tests (against a test proportion of 0.5 or 50% for each study outcome) were performed using the direction of effect observed in each study, i.e., either favouring or not favouring intervention uptake.
Results

A total of 75 studies from 28 different nations were eligible for inclusion in the review. A total of 97 correlations were made between 12 emotions, 10 infectious diseases, and the uptake of seven types of public health interventions. Unpleasant emotions were evoked much more often than pleasant following public health risk communications, with fear and anxiety being the most common. Overall, moderate anxiety-related emotions (worry, anxiety, stress, concern) seemed to be much more significant motivators for public action compared to extreme unpleasant emotions (fear, panic, hopelessness, shame), which had a statistically significantly negative effect on the uptake of public health interventions in several cases. Pleasant emotions (empathy, hope) also showed promise as motivators for public health intervention uptake, but more research is needed to corroborate this.
Conclusions

The results of this review show that the public’s emotional responses to epidemics in the past 30 years have played a clear role in determining how successful the rollout of public health interventions has been. Emotions need to be considered in crisis communications, and these research findings can help inform communications strategies in the evolving context of the COVID-19 pandemic and future infectious disease outbreaks.
Artificial Intelligence In Source Discrimination of Mine Water: A Deep Learning Algorithm For Water Source Discrimination
Authors: Yang Zhenwei , Yue Junchao , Lü Hang , Wang Xinyi 
Published: December 2021

Abstract
With increasing coal mining depth, the source of mine water inrush becomes increasingly complex. The problem of distinguishing the source of mine water in mines and tunnels has been addressed by studying the hydrochemical components of the Pingdingshan Coalfield and applying the artificial intelligence (AI) method to discriminate the source of the mine water. 496 data of mine water have been collected. Six ions of mine water are used as the input data set: Na++K+, Ca2+, Mg2+, Cl-, SO2- 4, and HCO- 3. The type of mine water in the Pingdingshan coalfield is classified into surface water, Quaternary pore water, Carboniderous limestone karst water, Permian sandstone water, and Cambrian limestone karst water. Each type of water is encoded with the number 0 to 4. The one-hot code method is used to encode the numbers, which is the output set. On the basis of hydrochemical data processing, a deep learning model was designed to train the hydrochemical data. Ten new samples of mine water were tested to determine the precision of the model. Nine samples of mine water were predicted correctly. The deep learning model presented here provides significant guidance for the discrimination of mine water.
Reshaping the tumor microenvironment with oncolytic viruses, positive regulation of the immune synapse, and blockade of the immunosuppressive oncometabolic circuitry
Authors: Nguyen Teresa , Shin Dong Ho , Sohoni Sagar , Singh Sanjay , Rivera-Molina Yisel , Jiang Hong , Fan Xuejun , Gumin Joy , Lang Frederick , Alvarez-Breckenridge Christopher , Godoy-Vitorino Filipa , Zhai Lijie , Ladomersky Erik , Lauing Kristen , Alonso Marta , Wainwright Derek , Gomez-Manzano Candelaria , Fueyo Juan 
Published: December 2021

Abstract

Immune-related therapies have revolutionized the management of cancer. Oncolytic viruses are now considered part of the immunotherapy armamentarium and have shown promise in clinical trials of patients with glioblastoma. These studies have suggested that tumor microenvironment remodeling is required to achieve an effective response in solid tumors. Here, we showed that Delta-24-RGDOX (DNX-2440), an oncolytic adenovirus expressing the T cell activator OX40L, triggered antitumor immune responses. However, Delta-24-RGDOX also elicited paradoxical activation of the cytokine-driven immunosuppressive IDO-kynurenine-AhR circuitry. The IDO-kynurenine-AhR cascade had the dual effects of preventing optimum viral replication and decreasing the virus-initiated antitumor immune response. To enhance virotherapy, we combined Delta-24-RGDOX with clinically relevant IDO inhibitors. This combination therapy increased the frequency of activated CD8+ T cells and decreased the frequencies of immunosuppressive MDSC and Treg populations in animal models of gliomas and melanoma. Functional studies demonstrated that the IDO blockade-dependent activation of immune cells against tumor antigens could be reversed by the oncometabolite kynurenine. The concurrent targeting of effectors and suppressors in the tumor immune landscape significantly prolonged the survival of glioma- and melanoma-bearing mice. Our data identified the striking role of immunosuppressive pathways in the resistance of solid tumors to oncolytic virotherapy. Specifically, the activity of the tumor microenvironment IDO circuitry was responsible, at least partially, for the remodeling of local immunosuppression after tumor infection. Combining molecular and immune-related therapies may improve outcomes in human gliomas and other cancers treated with virotherapy.
Association of Dietary Factors with Noise Induced Hearing Loss in Korean Population: A 3-Year National Cohort Study
Authors: Lee Hyun Jin , Lee Juhyung , Yoon Chulyoung , Park Yesai , Joo Young-Hoon , Park Jun-Ook , Seo Young Joon , Park Kyoung-Ho 
Published: December 2021

Abstract
Noise-induced hearing loss (NIHL) is a hearing impairment caused by various epidemiologic and clinical factors. Identifying the relationship between NIHL and nutrients could help reduce the prevalence of hearing loss. This study analyzed the relationship between NIHL and dietary factors using data of the Korea National Health and Nutrition Examination survey. The survey was taken by a total of 10,850 participants aged 20-65 years. Air conduction audiometry was measured at 500, 1000, 2000, and 4000Hz in both ears. Metabolic syndrome, noise exposure, drink, smoke, income, marital status, and nutritional intake were evaluated. The differences between non-HI and HI participants in noise-exposed group have shown statistically significant differences in age, sex, marital status, smoking status, alcohol consumption, fast glucose level, and triglyceride level (p<0.05). In a multiple regression analysis, the age factor showed a significant association with HI (OR: 0.604; 95% CI: 0.538-0.678). In multivariate analysis for dietary factors, Retinol (OR: 1.356; 95% CI: 1.068-1.722), Niacin (OR: 1.5; 95% CI: 1.022-2.201) and Carbohydrates (OR: 0.692; 95% CI: 0.486-0.985) showed a significant association with NIHL. When the dietary factors of the noise exposure group were analyzed, high intake of Niacin and Retinol and low intake of Carbohydrates appear to prevent hearing loss.
Associations Between Night Sleep Duration and Fasting Glucose and Triglyceride To High-Density Lipoprotein Cholesterol Ratio Among Adults Free of Type 2 Diabetes or Without Diagnosed Type 2 Diabetes
Authors: He Jiangshan , Hong Chenglin , Zhang Li , Li Chunjun , Wang Yuxue , Fan Yaqi , Guo Pei , Zhang Binbin , Qi Xin , Chen Shuo , Niu Yujie , Liu Feng , Zhang Rong , Li Qiang , Ma Shitao , Zhang Mianzhi , Zhang Minying 
Published: December 2021

Abstract
Background

We aim to assess the associations between night sleep duration and fasting glucose (FG), triglyceride (TG) to high-density lipoprotein cholesterol (HDL-C) ratio, and body mass index (BMI) among adults free of type 2 diabetes (T2D) or without diagnosed T2D.
Methods

We analyzed the baseline data of a cohort. We included adults free of T2D or without diagnosed T2D who completed the validated questionnaire, biochemical and anthropometric measurements. Independent association between sleep duration and FG, TG/HDL-C, BMI was evaluated with multiple U-shaped or linear regressions.
Results

We included 32497 adults with a median of 44 years, 52.5% men. Overall, 12.80% and 9.67% reported night sleep duration <7h and ≥9h, 6.91% were with impaired FG and 3.57% had undiagnosed T2D. Sleep duration was independently U-shaped associated with FG [β1 (linear term) =-0.111, P=0.047; β2 (quadratic term) =0.008, P=0.026] with 6.9-hour sleep had the lowest FG, and negatively associated with BMI (β = -0.154, P<0.001). BMI mediated U-shaped association of sleep duration with TG/HDL-C (β1=-0.040, P=0.017; β2 = 0.003, P=0.023).
Conclusions

Both short and long night sleep was associated with elevated FG, shorter sleep was associated with increased BMI. BMI mediated the U-shaped association between sleep duration and TG/HDL-C.
Multi-path Convolutional Neural Network to identify Tumorous Sub-classes for Breast Tissue from Histopathological Images
Authors: Das Rangan , Maulik Utsav Bandyopadhyay , Boote Bikram , Sen Sagnik , Bhattacharya Saumik 
Published: December 2021

Abstract
Malignancy is one of the leading causes of death globally. It is on the rise in the developed and low-income countries with survival rates of less than 40%. However, early diagnosis may increase survival chances. Histopathology images acquired from the biopsy are a popular method for cancer diagnosis. In this article, we propose a deep convolutional neural network-based method that helps classify breast cancer tumor subtypes from histopathology images. The model is trained on the BreakHis dataset but is also tested on images from other datasets. The model is trained to recognized eight different tumor subtypes, and also to perform binary classification (malignant / non-malignant). The CNN model uses an encoder-decoder architecture as well as a parallel feed-forward network. The proposed model provides higher cumulative training accuracy and statistical scoring after five-fold cross-validation. Comparing with the other models, the accuracy of the proposed model is higher at different magnification and patient levels.
Weighted Means of Likelihood Ratio as Indices Measuring Similarity Between Densities
Authors: Ko Hideyoshi 
Published: December 2021

Abstract
Criteria for similarity between probability density functions are important in the field of statistics such as density estimation. In this short paper, a set of indices measuring similarity between probability densities is proposed using the weighted means of the likelihood ratio function. Numerical simulations demonstrate that the estimates of these indices are easily obtained from observations and could be useful for both parametric and nonparametric density estimation with numerical optimization.
Evaluation of Transabdominal and Transperineal Ultrasound-Derived Prostate Specific Antigen (PSA) Density and Clinical Utility Compared to MRI Prostate Volumes: A Feasibility Study
Authors: Pantelidou Maria , Caglic Iztok , George Anne , Blyuss Oleg , Gnanapragasam Vincent , Barrett Tristan 
Published: December 2021

Abstract
PurposeTo investigate the accuracy of surface-based ultrasound-derived PSA-density (US-PSAD) versus gold-standard MRI-PSAD as a risk-stratification tool. MethodsSingle-centre prospective study of patients undergoing MRI for suspected prostate cancer (PCa). Four combinations of US-volumes were calculated using transperineal (TP) and transabdominal (TA) views, with triplanar measurements to calculate volume and US-PSAD. Intra-class correlation coefficient (ICC) was used tocompare US and MRI volumes. Categorical comparison of MRI-PSAD and US-PSAD was performed at PSAD cut-offs <0.15, 0.15-0.20, and >0.20 ng/mL2 to assess agreement with MRI-PSAD risk-stratification decisions.Results64 men were investigated, mean age 69 years and PSA 7.0 ng/mL. 36/64 had biopsy-confirmed prostate cancer (18 Gleason 3+3, 18 Gleason ≥3+4). Mean MRI-derived gland volume was 60 mL, compared to 56 mL for TA-US, and 65 mL TP-US. ICC demonstrated good agreement for all US volumes with MRI, with highest agreement for transabdominal US, followed by combined TA/TP volumes. Risk-stratification decisions to biopsy showed concordant agreement between triplanar MRI-PSAD and ultrasound-PSAD in 86-91% and 92-95% at PSAD thresholds of >0.15 ng/mL2 and >0.12 ng/mL2, respectively. Biopsy-decision making at threshold >0.12 ng/mL2, demonstrated sensitivity ranges of 81-100%, specificity 85-100%, PPV 86-100% and NPV 83-100%. Transabdominal US provided optimal sensitivity of 100% for this clinical decision, with specificity 85%, and transperineal US provided optimal specificity of 100%, with sensitivity 87%.ConclusionTransperineal-US and combined TA-TP US-derived PSA density values compare well with standard MRI-derived values and could be used to provide accurate PSAD at presentation and inform the need for further investigations.
Signals In Temperature Extremes Emerge in China During The Last Millennium Based On CMIP5 and CMIP6 Simulations
Authors: Sui Yue , Chen Yuting 
Published: December 2021

Abstract
Though the magnitude of any change is important, regions which have a larger signal of change relative to the background variations will potentially face greater risks than other regions, as they will see unusual or novel climate conditions more quickly (Frame et al. 2017). Providing more information about signal and noise on regional scales, and the associated attribution to particular causes, is therefore important for adaptation planning (Chen et al. 2021). However, whether a detectable signal in temperature extremes emerges in China at the local or regional level during 850−2005 has not been discussed. Based on six selected and bias-corrected global models under the Coupled Model Intercomparison Project phase 5, relative to pre-industrial levels (ca 1850), we show that the temporal information of signal-to-noise ratio (S/N) in annual temperature extremes are consistent with annual mean temperature variations in China during 850−2005. Before 1850, absolute values of regional mean S/N in temperature extremes under cold climatic conditions are generally larger than that under warm climatic conditions. At the level of S/N > 1, local increasing signals of cold extremes emerge in the second half of 13th century and in the early 19th century after intensively volcanic eruptions in 1257 and 1815 in most part of China, especially in southern China and Tibet Plateau. Over the past 150 years under global warming, absolute values of regional mean S/N in temperature extremes have increasing trends. The regional mean increasing signals of warm extremes over China begin to exceed natural variability in 1969 at the level of S/N > 1, and local warm signals first occur in 1929 in Tibet Plateau. These warming signals are related to greenhouse gas forcing.