bluuebunny/crossref_metadata_2025_split huggingface dataset:
Organic composite materials: Understanding and manipulating excited states toward higher light‐emitting performance
Authors: Dong Haiyun , Zhang Chunhuan , Yao Jiannian , Zhao Yong Sheng 
Published: July 2021

AbstractOrganic composite materials have been attracting extensive research interest for light‐emitting applications. A wide variety of luminescent organic composite materials have been synthesized, which are of great significance for both the investigation of basic photophysics and the realization of high‐performance photonic devices. Function‐oriented syntheses of luminescent organic composite materials rely on the understanding and manipulating of molecular excited states. In this review, we focus on the discussion about the structure design and dynamics modulation of the electronic excited states in the organic composite materials. The excited‐state structures and dynamics involve singlet/triplet levels, vibronic transition, charge transfer, and energy transfer, and so on, while the light‐emitting behaviors include fluorescence, phosphorescence, persistent luminescence, electroluminescence, and lasing. We aim to give insight into the relationship between light‐emitting properties and excited states of organic composite materials, which is beneficial for reaching higher tiers of design and applications of luminescent organic composite materials.
Bayesian variable selection for the Cox regression model with spatially varying coefficients with applications to Louisiana respiratory cancer data
Authors: Mu Jinjian , Liu Qingyang , Kuo Lynn , Hu Guanyu 
Published: July 2021

AbstractThe Cox regression model is a commonly used model in survival analysis. In public health studies, clinical data are often collected from medical service providers of different locations. There are large geographical variations in the covariate effects on survival rates from particular diseases. In this paper, we focus on the variable selection issue for the Cox regression model with spatially varying coefficients. We propose a Bayesian hierarchical model which incorporates a horseshoe prior for sparsity and a point mass mixture prior to determine whether a regression coefficient is spatially varying. An efficient two‐stage computational method is used for posterior inference and variable selection. It essentially applies the existing method for maximizing the partial likelihood for the Cox model by site independently first and then applying an Markov chain Monte Carlo algorithm for variable selection based on results of the first stage. Extensive simulation studies are carried out to examine the empirical performance of the proposed method. Finally, we apply the proposed methodology to analyzing a real dataset on respiratory cancer in Louisiana from the Surveillance, Epidemiology, and End Results (SEER) program.
Notch1 signaling enhances collagen expression and fibrosis in mouse uterus
Authors: Xu Qi‐Xin , Zhang Wang‐Qing , Liu Xiao‐Zheng , Yan Wan‐Kun , Lu Lei , Song Shan‐Shan , Wei Shu‐Wen , Liu Ying‐Nan , Kang Jin‐Wen , Su Ren‐Wei 
Published: July 2021

AbstractFibrosis is a pathological process characterized by abnormal activation of fibroblasts with increased synthesis of extracellular matrix components, including collagens. It may lead to loss of proper tissue architecture and organ function in clinical diseases such as systemic sclerosis and liver fibrosis. Excess accumulation of collagens is considered the primary indicator of fibrosis. Notch signaling has been reported to be involved in the fibrosis of many different organs, including the liver. Our previous study showed that the uterine‐specific over‐activation of canonical Notch1 signaling in the mouse uterus (Pgrcre/+ Rosa26N1ICD/+, OEx) results in complete infertility as a consequence of multiple developmental and physiological defects, together with increased collagen accumulation evidenced by Masson's staining. In this study, we further detected expressions of all 44 collagen genes in these Notch1 gain‐of‐function transgenic mice and found that 18 collagens have been largely affected. In another aspect, using an intrauterine adhesion model (IUA), we mimicked fibrosis in the mouse uterine. The results suggested that Notch receptors were upregulated only 3 days after induction, and most of the fibril‐forming collagen began to upregulate 6 days after the surgery. Furthermore, when induced IUA in the N1ICD‐OEx mice, the expression of collagens and fibrosis levels were significantly enhanced. At last, as a Notch signaling inhibitor, the γ‐secretase inhibitor N‐[N‐(3,5‐difl uorophenacetyl)‐L‐alanyl]‐S‐phenylglycine t‐butyl ester (DAPT) pretreatment could alleviate the expression of collagens and the symptoms of fibrosis. These results demonstrate that Notch signaling may play a role in upregulating collagens expression in endometrial fibrosis and might be a potential target of fibrosis therapy in the endometrium.
Attenuated neuronal and autonomic responses during error processing in anorexia nervosa
Authors: Suttkus Stefanie , Schumann Andy , De la Cruz Feliberto , Bär Karl‐Jürgen 
Published: July 2021

AbstractIntroductionAnorexia nervosa (AN) is a severe psychiatric illness with alarming mortality rates. Nevertheless, despite former and recent research results, the etiology of AN is still poorly understood. Of particular interest is that, despite exaggerated response control and increased perfectionism scores, patients with AN seem not to perform better that those unaffected in tasks that require inhibitory control. One reason might be aberrant processing of errors. The objective of our study was thus to obtain further insight into the pathopsychology of AN. We were particularly interested in neuronal and autonomic responses during error processing and their association with behavior.MethodsWe analyzed 16 acute patients suffering from restrictive type AN and 21 healthy controls using functional magnetic resonance imaging (fMRI) with simultaneous physiological recordings during a Go/Nogo response inhibition task. Data were corrected for noise due to cardiac and respiratory influence.ResultsPatients and controls had similarly successful response inhibition in Nogo trials. However, in failed Nogo trials, controls had significantly greater skin conductance responses (SCR) than in correct Nogo trials. Patients did not exhibit elevated SCR to errors. Furthermore, we found significantly increased neuronal responses, especially in the amygdala and hippocampus, in controls compared to patients during error trials. We also found significant positive correlations in controls but not in patients between Nogo performance and activation in the salience network core regions after errors.ConclusionAcute restrictive type AN patients seem to lack neuronal and autonomic responses to errors that might impede a flexible behavior adaption.
Nafion‐Induced Reduction of Manganese and its Impact on the Electrocatalytic Properties of a Highly Active MnFeNi Oxide for Bifunctional Oxygen Conversion**
Authors: Morales Dulce M. , Villalobos Javier , Kazakova Mariya A. , Xiao Jie , Risch Marcel 
Published: July 2021

AbstractElectrocatalysts for bifunctional oxygen reduction (ORR) and oxygen evolution reactions (OER) are commonly studied under hydrodynamic conditions, rendering the use of binders necessary to ensure the mechanical stability of the electrode films. The presence of a binder, however, may influence the properties of the materials under examination to an unknown extent. Herein, we investigate the impact of Nafion on a highly active ORR/OER catalyst consisting of MnFeNi oxide nanoparticles supported on multi‐walled carbon nanotubes. Electrochemical studies revealed that, in addition to enhancing the mechanical stability and particle connectivity, Nafion poses a major impact on the ORR selectivity, which correlates with a decrease in the valence state of Mn according to X‐ray absorption spectroscopy. These findings call for awareness regarding the use of electrode additives, since in some cases the extent of their impact on the properties of electrode films cannot be regarded as negligible.
Polymerization/depolymerization of chiral metallo‐supramolecular assembly induced by redox change
Authors: Marinova Maya , Bonnefont Antoine , Achard Thierry , Maisse‐François Aline , Bellemin‐Laponnaz Stéphane 
Published: July 2021

AbstractWe report on the polymerization/depolymerization of chiral metallo‐supramolecular assembly by CuI/CuII redox change. By combining a monotopic enantiopure ligand with a ditopic ligand of opposite configuration, ML2‐type complexes are generated with chiral self‐recognition or self‐discrimination depending on the oxidation state of copper. In presence of CuI, the formation of heterochiral complexes is favored, thus generating dinuclear species whereas CuII advocates for the formation of homochiral species, namely, a mixture of mononuclear species and metallo‐supramolecular polymeric species. Thus, cyclic voltammetry was used to study such a chirality‐induced stimulus sensitive polymerization/depolymerization process.
Comparison of prognosis and outcomes of catheter ablation versus drug therapy in patients with atrial fibrillation and stable coronary artery disease: A prospectivepropensity‐scorematched cohort study
Authors: Cui Yi‐Kai , Dong Jian‐Zeng , Du Xin , Hu Rong , He Liu , Jia Chang‐Qi , Li Xu , Wu Jia‐Hui , Yu Rong‐Hui , Long De‐Yong , Ning Man , Sang Cai‐Hua , Jiang Chen‐Xi , Bai Rong , Wen Song‐Nan , Liu Nian , Li Song‐Nan , Wang Wei , Guo Xue‐Yuan , Zhao Xin , Zuo Song , Chen Xuan , Huang Shu‐Tao , Wu Hao‐Sheng , Tang Ri‐Bo , Ma Chang‐Sheng 
Published: July 2021

AbstractBackgroundAtrial fibrillation (AF) and stable coronary artery disease (SCAD) frequently coexist.HypothesisTo investigate the prognosis of catheter ablation versus drug therapy in patients with AF and SCAD.MethodsIn total, 25 512 patients with AF in the Chinese AF Registry between 2011 and 2019 were screened for SCAD. 815 patients with AF and SCAD underwent catheter ablation therapy were matched with patients by drug therapy in a 1:1 ratio. Primary end point was composite of thromboembolism, coronary events, major bleeding, and all‐cause death. The secondary endpoints were each component of the primary endpoint and AF recurrence.ResultsOver a median follow‐up of 45 ± 23 months, the patients in the catheter ablation group had a higher AF recurrence‐free rate (53.50% vs. 18.41%,p < .01). In multivariate analysis, there was no significant difference between the strategy of catheter ablation and drug therapy in primary composite end point (adjusted HR 074, 95%CI 0.54–1.002,p = .0519). However, catheter ablation was associated with fewer all‐cause death independently (adjusted HR 0.36, 95%CI 0.22–0.59,p < .01). In subgroup analysis, catheter ablation was an independent risk factor for all‐cause death in the high‐stroke risk group (adjusted HR 0.39, 95%CI 0.23–0.64,p < .01), not in the low‐medium risk group (adjusted HR 0.17, 95%CI 0.01–2.04,p = .17).ConclusionsIn the patients with AF and SCAD, catheter ablation was not independently associated with the primary composite endpoint compared with drug therapy. However, catheter ablation was an independent protective factor of all‐cause death
Serum proteome modulations upon treatment provides biological insight on response to treatment in relapsed mantle cell lymphoma
Authors: Lokhande Lavanya , Kuci Emruli Venera , Eskelund Christian Winther , Kolstad Arne , Hutchings Martin , Räty Riikka , Niemann Carsten Utoft , Grønbæk Kirsten , Jerkeman Mats , Ek Sara 
Published: July 2021

AbstractBackgroundThe possibility to monitor patient's serum proteome during treatment can provide deepened understanding of the biology associated with response to specific drugs. Non‐invasive serum sampling provides an opportunity for sustainable repetitive sampling of patients, which allows for more frequent evaluation of the biological response and enhanced flexibility in treatment selection in contrast to tissue biopsies.AimTo pin‐point biologically relevant changes in pre‐ and on‐treatment serum proteome samples in relapsed mantle cell lymphoma (MCL) patients, leading to insight into mechanisms behind response to treatment in sub‐groups of patients.MethodsPre‐ and on‐treatment serum samples from relapsed MCL patients treated with a triple combination therapy of rituximab, ibrutinib and lenalidomide were available for the study, together with detailed clinicopathological information. A microarray technology targeting 158 serum proteins using 371 antibody‐fragments was used to compare the serum proteome at the two time‐points.ResultsProteins modulated by the treatment were shown to be associated to a MCL sub‐group with ATM/TP53 alterations, which emphasizes the importance of treatment stratification. Absolute values of serum protein levels in on‐treatment samples were highly variable and showed no correlation to outcome. To circumvent the challenge of variability in absolute serum protein levels, the velocity of change of individual serum proteins was used to identify proteins associated with clinical response. Increased values of TGF‐β1, CD40 and complement component 4 comparing pre‐ and on‐treatment samples were associated with remaining minimal residual disease (MRD) and increased BTK was associated with short progression‐free survival (PFS).ConclusionWe show that the genetic sub‐type of MCL affects the biological response to treatment in serum and that the change in defined serum proteins reveals the biology associated with clinical response.
Evidence of validity of the revised Helping Alliance Questionnaire based on the internal structure in a Brazilian clinical sample
Authors: Scholl Carolina Coelho , Soares Mariana Carret , do Nascimento Elizabeth , Trettim Jéssica Puchalski , de Matos Mariana Bonati , Stigger Rafaelle Stark , Pires Andressa Jacondino , Tabeleão Viviane Porto , da Silva Ricardo Azevedo , Souza Luciano Dias de Mattos , Quevedo Luciana de Avila , de Figueiredo Vera Lucia Marques 
Published: July 2021

AbstractThe revised Helping Alliance Questionnaire (HAq‐II) is among the most used instruments that measure therapeutic alliance. Despite its use in research, this instrument is not validated for the Brazilian population. The aim of this study was to explore the evidence of validity of the HAq‐II based on the internal structure in a sample of Brazilian psychiatric patients. An ambulatory convenience sample of 204 patients with major depressive disorder (MDD) and 81 patients with obsessive–compulsive disorder (OCD) was randomized between two different types of treatment. The HAq‐II was completed by patients (patient version) and by 33 therapists who performed the interventions (therapist version) between the second and third sessions. We used confirmatory factor analysis (CFA) to investigate two models: (1) a one‐dimensional therapeutic alliance model and (2) a two‐dimensional model considering the factors ‘positive alliance’ and ‘negative alliance’. The internal consistency of the HAq‐II was measured by Cronbach's alpha. To investigate discriminant validity, we used the t‐test for independent samples, ANOVA and Pearson's correlation coefficient. The analysis showed that the best model of the instrument was one‐dimensional. Cronbach's alpha for both versions displayed values above 0.89. The Brazilian version of the HAq‐II presented properties similar to those found in the original version. However, studies related to the one‐dimensional model with other samples are necessary.
Supply chain environmental and social sustainability practice diffusion: Bibliometrics, content analysis and conceptual framework
Authors: Pimenta Handson Claudio Dias , Ball Peter , Salonitis Konstantinos 
Published: July 2021

AbstractThe purpose of this paper is to uncover how environmental and social sustainability practices are diffused across the supply chain tiers through supplier development initiatives. In particular, the work seeks to uncover the initiatives developed directly or indirectly by manufacturing firms and the factors that enhance them. A systematic literature review is used to examine the breadth of the sustainable supply chain literature. The papers obtained are screened and analysed using established procedures to produce bibliometric and thematic analyses. The findings show the evolution of this young field around key research groups with few papers looking beyond focal firms to immediate suppliers and even fewer examining multiple tiers. Whilst numerous organisational factors are identified, few works consider most of them together and none capture their interrelationships at such breadth. Within this field lacking in theory, the originality of the work is the assembly of environmental and social practices into an integrated framework for their diffusion across supply chain tiers in the design and implementation of supplier development initiatives. There is recognition of where in the supply chain these practices are applied. The implications of this research are a framework around which supply chain diffusion theory can be tested and subsequent potential for its deployment in business to guide sustainable practice adoption.
Application of the Bethesda system for reporting thyroid cytopathology for classification of thyroid nodules: A clinical and cytopathological characteristics in Bhutanese population
Authors: Choden Sonam , Wangmo Chimi , Maharjan Sushna 
Published: July 2021

AbstractIntroductionThe existence of baseline data on the spectrum of thyroid nodules in Bhutanese patients is unknown. Fine‐needle aspiration cytology (FNAC) is regarded as the gold standard diagnostic test for pre‐op assessment of thyroid lesions.Materials and MethodsWe conducted a retrospective study, involving 765 patients who underwent FNAC of the thyroid gland, at Jigme Dorji Wangchuck National Referral Hospital, Thimphu, between January‐2018 to December‐2020. We aimed to assess the cytomorphological spectrum of thyroid nodules, classify them as per The Bethesda system for reporting thyroid cytopathology (TBSRTC), assess risk of malignancy (ROM), and evaluate the accuracy of FNAC in diagnosing thyroid malignancy.ResultsColloid nodule (37.4%) and papillary thyroid carcinoma (4.2%) constituted the majority of benign and malignant cytological diagnoses, respectively. According to TBSRTC, majority of the cases (82.0%) fell under the Bethesda II category. Bethesda III was the least common (1.4%) category. As compared to histopathological diagnosis; the sensitivity, specificity, positive and the negative predictive values of FNAC in diagnosing thyroid malignancy were 90.0%, 93.3%, 93.10%, and 90.32% respectively. The ROM increased concurrently with the grade of the Bethesda category and was more or less close to the ROM reference range, published in the TBSRTC.ConclusionBenign thyroid nodules (82.0%) constituted a majority of thyroid nodules in Bhutanese patients. FNAC was found to be reliable in detecting thyroid malignancy. From the literature, TBSRTC was found to be a more convenient method for reporting thyroid cytology. Henceforth, as most institutes, we plan to implement TBSRTC for reporting thyroid cytopathology.
Data integration methods to account for spatial niche truncation effects in regional projections of species distribution
Authors: Chevalier Mathieu , Broennimann Olivier , Cornuault Josselin , Guisan Antoine 
Published: July 2021

AbstractMany species distribution models (SDMs) are built with precise but geographically restricted presence–absence data sets (e.g., a country) where only a subset of the environmental conditions experienced by a species across its range is considered (i.e., spatial niche truncation). This type of truncation is worrisome because it can lead to incorrect predictions e.g., when projecting to future climatic conditions belonging to the species niche but unavailable in the calibration area. Data from citizen‐science programs, species range maps or atlases covering the full species range can be used to capture those parts of the species’ niche that are missing regionally. However, these data usually are too coarse or too biased to support regional management. Here, we aim to (1) demonstrate how varying degrees of spatial niche truncation affect SDMs projections when calibrated with climatically truncated regional data sets and (2) test the performance of different methods to harness information from larger‐scale data sets presenting different spatial resolutions to solve the spatial niche truncation problem. We used simulations to compare the performance of the different methods, and applied them to a real data set to predict the future distribution of a plant species (Potentilla aurea) in Switzerland. SDMs calibrated with geographically restricted data sets expectedly provided biased predictions when projected outside the calibration area or time period. Approaches integrating information from larger‐scale data sets using hierarchical data integration methods usually reduced this bias. However, their performance varied depending on the level of spatial niche truncation and how data were combined. Interestingly, while some methods (e.g., data pooling, downscaling) performed well on both simulated and real data, others (e.g., those based on a Poisson point process) performed better on real data, indicating a dependency of model performance on the simulation process (e.g., shape of simulated response curves). Based on our results, we recommend to use different data integration methods and, whenever possible, to make a choice depending on model performance. In any case, an ensemble modeling approach can be used to account for uncertainty in how niche truncation is accounted for and identify areas where similarities/dissimilarities exist across methods.
Limited shifts in the distribution of migratory bird breeding habitat density in response to future changes in climate
Authors: McKenna Owen P. , Mushet David M. , Kucia Samuel R. , McCulloch‐Huseby Elyssa C. 
Published: July 2021

AbstractGrasslands, and the depressional wetlands that exist throughout them, are endangered ecosystems that face both climate and land‐use change pressures. Tens of millions of dollars are invested annually to manage the existing fragments of these ecosystems to serve as critical breeding habitat for migratory birds. The North American Prairie Pothole Region (PPR) contains millions of depressional wetlands that produce between 50% and 80% of the continent’s waterfowl population. Previous modeling efforts suggested that climate change would result in a shift of suitable waterfowl breeding habitat from the central to the southeast portion of the PPR, an area where over half of the depressional wetlands have been drained. The implications of these projections suggest a massive investment in wetland restoration in the southeastern PPR would be needed to sustain waterfowl populations at harvestable levels. We revisited these modeled results indicating how future climate may impact the distribution of waterfowl‐breeding habitat using up‐to‐date climate model projections and a newly developed model for simulating prairie‐pothole wetland hydrology. We also presented changes to the number of “May ponds,” a metric used by the U.S. Fish and Wildlife Service to estimate waterfowl breeding populations and establish harvest regulations. Based on the output of 32 climate models and two emission scenarios, we found no evidence that the distribution of May ponds would shift in the future. However, our results projected a 12% decrease to 1% increase in May pond numbers when comparing the most recent climate period (1989–2018) to the end of the 21st century (2070–2099). When combined, our results suggest areas in the PPR that currently support the highest densities of intact wetland basins, and thus support the largest numbers of breeding‐duck pairs, will likely also be the places most critical to maintaining continental waterfowl populations in an uncertain future.