bluuebunny/crossref_metadata_2025_split huggingface dataset:
Supramolecular glasses with color-tunable circularly polarized afterglow through evaporation-induced self-assembly of chiral metal–organic complexes
Authors: Nie Fei , Wang Ke-Zhi , Yan Dongpeng 
Published: March 2023

AbstractThe fabrication of chiral molecules into macroscopic systems has many valuable applications, especially in the fields of optical displays, data encryption, information storage, and so on. Here, we design and prepare a serious of supramolecular glasses (SGs) based on Zn-L-Histidine complexes, via an evaporation-induced self-assembly (EISA) strategy. Metal-ligand interactions between the zinc(II) ion and chiral L-Histidine endow the SGs with interesting circularly polarized afterglow (CPA). Multicolored CPA emissions from blue to red with dissymmetry factor as high as 9.5 × 10−3and excited-state lifetime up to 356.7 ms are achieved under ambient conditions. Therefore, this work not only communicates the bulk SGs with wide-tunable afterglow and large circular polarization, but also provides an EISA method for the macroscopic self-assembly of chiral metal–organic hybrids toward photonic applications.
A population-based nomogram to individualize treatment modality for pancreatic cancer patients underlying surgery
Authors: Shi Xiao-Ya , Wang Yan , Zhou Xuan , Xie Meng-Li , Ma Qian , Wang Gan-Xin , Zhan Jing , Shao Yi-Ming , Wei Bai 
Published: March 2023

AbstractAs the most aggressive tumor, TNM staging does not accurately identify patients with pancreatic cancer who are sensitive to therapy. This study aimed to identify associated risk factors and develop a nomogram to predict survival in pancreatic cancer surgery patients and to select the most appropriate comprehensive treatment regimen. First, the survival difference between radiotherapy and no radiotherapy was calculated based on propensity score matching (PSM). Cox regression was conducted to select the predictors of overall survival (OS). The model was constructed using seven variables: histologic type, grade, T stage, N stage, stage, chemotherapy and radiotherapy. All patients were classified into high- or low-risk groups based on the nomogram. The nomogram model for OS was established and showed good calibration and acceptable discrimination (C-index 0.721). Receiver operating characteristic curve (ROC) and DCA curves showed that nomograms had better predictive performance than TNM stage. Patients were divided into low-risk and high-risk groups according to nomogram scores. Radiotherapy is recommended for high-risk patients but not for low-risk patients. We have established a well-performing nomogram to effectively predict the prognosis of pancreatic cancer patients underlying surgery. The web version of the nomogram https://rockeric.shinyapps.io/DynNomapp/ may contribute to treatment optimization in clinical practice.
Rabbit derived VL single-domains as promising scaffolds to generate antibody–drug conjugates
Authors: André Ana S. , Dias Joana N. R. , Aguiar Sandra , Nogueira Sara , Bule Pedro , Carvalho Joana Inês , António João P. M. , Cavaco Marco , Neves Vera , Oliveira Soraia , Vicente Gonçalo , Carrapiço Belmira , Braz Berta São , Rütgen Barbara , Gano Lurdes , Correia João D. G. , Castanho Miguel , Goncalves Joao , Gois Pedro M. P. , Gil Solange , Tavares Luís , Aires-da-Silva Frederico 
Published: March 2023

AbstractAntibody–drug conjugates (ADCs) are among the fastest-growing classes of therapeutics in oncology. Although ADCs are in the spotlight, they still present significant engineering challenges. Therefore, there is an urgent need to develop more stable and effective ADCs. Most rabbit light chains have an extra disulfide bridge, that links the variable and constant domains, between Cys80 and Cys171, which is not found in the human or mouse. Thus, to develop a new generation of ADCs, we explored the potential of rabbit-derived VL-single-domain antibody scaffolds (sdAbs) to selectively conjugate a payload to Cys80. Hence, a rabbit sdAb library directed towards canine non-Hodgkin lymphoma (cNHL) was subjected to in vitro and in vivo phage display. This allowed the identification of several highly specific VL-sdAbs, including C5, which specifically target cNHL cells in vitro and present promising in vivo tumor uptake. C5 was selected for SN-38 site-selective payload conjugation through its exposed free Cys80 to generate a stable and homogenous C5-DAB-SN-38. C5-DAB-SN-38 exhibited potent cytotoxicity activity against cNHL cells while inhibiting DNA-TopoI activity. Overall, our strategy validates a platform to develop a novel class of ADCs that combines the benefits of rabbit VL-sdAb scaffolds and the canine lymphoma model as a powerful framework for clinically translation of novel therapeutics for cancer.
Revealing hazard-exposure heterophily as a latent characteristic of community resilience in social-spatial networks
Authors: Liu Chia-Fu , Mostafavi Ali 
Published: March 2023

AbstractWe present a latent characteristic in socio-spatial networks, hazard-exposure heterophily, to capture the extent to which populations with dissimilar hazard exposure could assist each other through social ties. Heterophily is the tendency of unlike individuals to form social ties. Conversely, populations in hazard-prone spatial areas with significant hazard-exposure similarity, homophily, would lack sufficient resourcefulness to aid each other to lessen the impact of hazards. In the context of the Houston metropolitan area, we use Meta’s Social Connectedness data to construct a socio-spatial network in juxtaposition with flood exposure data from National Flood Hazard Layer to analyze flood hazard exposure of spatial areas. The results reveal the extent and spatial variation of hazard-exposure heterophily in the study area. Notably, the results show that lower-income areas have lower hazard-exposure heterophily possibly caused by income segregation and the tendency of affordable housing development to be located in flood zones. Less resourceful social ties in hazard-prone areas due to their high-hazard-exposure homophily may inhibit low-income areas from better coping with hazard impacts and could contribute to their slower recovery. Overall, the results underscore the significance of characterizing hazard-exposure heterophily in socio-spatial networks to reveal community vulnerability and resilience to hazards.
Health-promoting behavior to enhance perceived meaning and control of life in chronic disease patients with role limitations and depressive symptoms: a network approach
Authors: Yun Je-Yeon , Yun Young Ho 
Published: March 2023

AbstractThe association between health-related role limitations in the mental and physical subdomains and clinical status (i.e., chronic disease and comorbid depressive symptoms) is mediated by health-promoting behaviors. To enhance health-promoting behaviors in adults with chronic disease, it is necessary to identify item-level associations among targets of health-related monitoring and management. Therefore, the current study used a network approach to examine associations among health-related role limitations, depressive symptoms, existential well-being, socioeconomic position, and health-promoting behavior in adults with chronic disease. A total of 535 adults (mean ± SD age = 62.9 ± 11.9 years; males, n = 231, females, n = 304) who were regularly visiting an outpatient clinic for chronic disease treatment participated in this cross-sectional study. Data on participant demographics, chronic disease diagnoses, socioeconomic status, health-related role limitations (12-item short form survey scores), depressive symptoms (patient health questionnaire-9 scores), existential well-being (scores for four items of the McGill quality of life questionnaire-Revised), and health-promoting behavior (Healthy Habits Questionnaire scores) were acquired. “Undirected regularized partial correlations” and “directional joint probability distributions” among these variables were calculated using a mixed graphical model (MGM) and directed acyclic graph (DAG). In the MGM, the most influential nodes were emotional well-being, feelings of failure, and health-related limitations affecting usual role and physical activities. According to both the MGM and DAG, the relationship between emotional well-being and feelings of failure mediated the relationships of health-related role limitations with concentration difficulty and suicidal ideation. A positive mindset was dependent on the probability distributions of suicidal ideation, controllability of life, and positive self-image. Both the meaning of life and a positive mindset had direct associations with proactive living. Specifically, proactive living was associated with a balanced diet, regular exercise, volunteering in the community, and nurturing intimacy in social interactions. The meaning and controllability of life in individuals with chronic diseases could mediate the relationships of health-promoting behavior with health-related limitations related to usual role activities, physical activities, and depressive symptoms. Thus, interventions targeting health-promoting behaviors should aim to enhance the meaning and controllability of life (as it pertains to limitations in usual role and physical activities), as well as promote proactive screening and timely psychiatric treatment of depressive symptoms including feelings of failure, concentration difficulties, and suicidal ideation.
Parents’ depression and anxiety associated with hyperactivity-inattention and emotional symptoms in children during school closure due to COVID-19 in France
Authors: Monnier Maëva , Moulin Flore , Bailhache Marion , Thierry Xavier , Vandentorren Stéphanie , Côté Sylvana , Falissard Bruno , Simeon Thierry , Geay Bertrand , Marchand-Martin Laetitia , Dufourg Marie-Noelle , Charles Marie-Aline , Ancel Pierre-Yves , Melchior Maria , Rouquette Alexandra , Galera Cédric ,   The SAPRIS Study Group, Bajos Nathalie , Carrat Fabrice , Ancel Pierre-Yves , Charles Marie-Aline , Jusot Florence , Martin Claude , Meyer Laurence , Pailhé Ariane , Severi Gianluca , Spire Alexis , Touvier Mathilde , Zins Marie ,   The ELFE Joint Unit, Thierry Xavier , Simeon Thierry , Geay Bertrand , Dufourg Laetitia Marie-Noelle , Charles Marie-Aline 
Published: March 2023

AbstractSeveral risk factors of children’s mental health issues have been identified during the pandemic of COronaVIrus Disease first appeared in 2019 (COVID-19). This study aims to fill the knowledge gap regarding the association between parents’ and children’s mental health issues during the COVID-19 school closure in France. We conducted a cross-sectional analysis of data collected in the SAPRIS-ELFE study during the COVID-19 pandemic in France. Using multinomial logistic regressions, we estimated associations between parents’ and children’s mental health issues. Symptoms of anxiety were assessed by the General Anxiety Disorder-7 (GAD-7) and depression by the Patient Health Questionnaire-9 (PHQ-9) for the parents. Hyperactivity/inattention and emotional symptoms in children were assessed by the Strengths and Difficulties Questionnaire (SDQ). The sample included 3496 children aged 8 to 9 years, of whom 50.0% were girls. During the school closure, 7.1% of responding parents had moderate to severe levels of anxiety and 6.7% had moderate to severe levels of depression. A total of 11.8% of the children had an abnormal hyperactivity/inattention score and 6.6% had an abnormal emotional symptoms score. In multivariate regression models, parental moderate to severe level of anxiety and moderate to severe level of depression were associated with abnormal hyperactivity-inattention score (adjusted Odds Ratio (aOR) 3.31; 95% Confidence Interval (CI) 2.33–4.70 and aOR 4.65; 95% CI 3.27–6.59, respectively) and abnormal emotional symptoms score in children (aOR 3.58; 95% CI 2.33–5.49 and aOR 3.78; 95 CI 2.47–5.78 respectively). Children whose parents have symptoms of anxiety and/or depression have an increased likelihood of symptoms of hyperactivity/inattention and emotional symptoms during school closures in France due to COVID-19. Our findings suggest that public health initiatives should target parents and children to limit the impact of such crises on their mental health issues.
The effect of dapagliflozin on uric acid excretion and serum uric acid level in advanced CKD
Authors: Iwata Yukimasa , Notsu Shoki , Kawamura Yushi , Mitani Waka , Tamai Shinjiro , Morimoto Madoka , Yamato Masafumi 
Published: March 2023

AbstractSodium–glucose cotransporter 2 inhibitors (SGLT2i) exhibit renoprotective effect in patients with chronic kidney disease (CKD) and reduce serum uric acid (UA) in patients with diabetes mellitus. However, it is not clarified whether SGLT2i reduce serum UA levels in patients with advanced CKD. This study aimed to investigate the impact of SGLT2i on change in serum UA levels in patients with advanced CKD. Data of 121 Japanese patients with CKD who were newly administered 10 mg dapagliflozin in our department between August 2021 and August 2022 were analyzed. Changes in UA and fractional excretion of UA (FEUA) were analyzed using multiple regression analysis. Of 75 patients, 21 (28.0%) patients, 24 (32.0%) patients, 29 (38.7%) patients, and 1 (1.3%) patient were categorized as having CKD stage 3a, 3b, 4, and 5, respectively. The median age was 67 years, and 72.0% were male. 23 (30.7%) of patients had diabetes mellitus. The median estimated glomerular filtration rate, serum UA, and FEUA were 35.7 mL/min/1.73 m2, 6.4 mg/dL, and 6.76%, respectively, at the time of dapagliflozin administration. After administration, serum UA decreased to 5.6 mg/dL and FEUA increased to 9.22%. Dapagliflozin increases FEUA and reduces serum UA levels in patients with advanced CKD.
Partner separation rescues pair bond-induced decreases in hypothalamic oxytocin neural densities
Authors: Fricker Brandon A. , Roshko Venezia C. , Jiang Jinrun , Kelly Aubrey M. 
Published: March 2023

AbstractStudies in prairie voles (Microtus ochrogaster) have shown that although formation of the pair bond is accompanied by a suite of behavioral changes, a bond between two voles can dissolve and individuals can form new pair bonds with other conspecifics. However, the neural mechanisms underlying this behavioral flexibility have not been well-studied. Here we examine plasticity of nonapeptide, vasopressin (VP) and oxytocin (OT), neuronal populations in relation to bonding and the dissolution of bonds. Using adult male and female prairie voles, animals were either pair bonded, co-housed with a same-sex sibling, separated from their pair bond partner, or separated from their sibling. We examined neural densities of VP and OT cell groups and observed plasticity in the nonapeptide populations of the paraventricular nucleus of the hypothalamus (PVN). Voles that were pair bonded had fewer PVN OT neurons, suggesting that PVN OT neural densities decrease with pair bonding, but increase and return to a pre-pair bonded baseline after the dissolution of a pair bond. Our findings suggest that the PVN nonapeptide cell groups are particularly plastic in adulthood, providing a mechanism by which voles can exhibit context-appropriate behavior related to bond status.
Reconstructing high-resolution in-situ vertical carbon dioxide profiles in the sparsely monitored Asian monsoon region
Authors: Vogel Bärbel , Volk C. Michael , Wintel Johannes , Lauther Valentin , Müller Rolf , Patra Prabir K. , Riese Martin , Terao Yukio , Stroh Fred 
Published: March 2023

AbstractAtmospheric concentrations of the greenhouse gases carbon dioxide and nitrous oxide have increased substantially because of human activities. However, their sources in South Asia, which contribute strongly to the accelerating global growth of carbon dioxide and nitrous oxide, are poorly quantified. Here, we present aircraft measurements with high temporal and vertical resolution up to 20 km during the Asian summer monsoon where rapid upward transport of surface pollutants to greater altitudes occurs. Using Lagrangian model simulations, we successfully reconstruct observed carbon dioxide profiles leading to an improved understanding of the vertical structure of carbon dioxide in the Asian monsoon region. We show that spatio-temporal patterns of carbon dioxide on the Indian subcontinent driven by regional flux variations rapidly propagate to approximately 13 km with slower ascent above. Enhanced carbon dioxide compared to the stratospheric background can be detected up to 20 km. We suggest that the propagation of these signals from the surface to the stratosphere can be used to evaluate transport models and assess carbon dioxide fluxes in South Asia.
Evolution of a river management industry in Australia reveals meandering pathway to 2030 UN goals
Authors: Russell Kathryn , Fryirs Kirstie , Reid David , Miller Alison , Vietz Geoff , Rutherfurd Ian , Pearson Ben , Wood Apanie , Gregor Sarah , Walker Jess , Slijkerman Johanna 
Published: March 2023

AbstractGlobally, river management is a multi-billion-dollar industry. The United Nations (UN) Decade of Ecosystem Restoration calls for accelerated action towards integrated, participatory, and adaptive water resources management. Here we test whether the required shifts are occurring in the Australian stream management industry, an environmental management industry in a developed western nation. We undertook structured review and topic modelling of 958 peer-reviewed papers presented at the national stream management conference from 1996-2021. We investigated trends in collaboration, transdisciplinary knowledge, diversity of input and perspectives, adaptive management, interaction with policy, and responses to natural events. We found that the industry has matured over the past 25 years, with increasing collaboration, diversity and interdisciplinarity. However, there was no measurable increase in on-ground community participation or use of adaptive management. The findings highlight opportunities for the industry to mature further to achieve UN 2030 goals for integrated water resource management and ecosystem restoration.
Enzymatic systems for carbohydrate utilization and biosynthesis in Xanthomonas and their role in pathogenesis and tissue specificity
Authors: Giuseppe Priscila O. , Bonfim Isabela M. , Murakami Mario T. 
Published: March 2023

Abstract
Xanthomonas plant pathogens can infect hundreds of agricultural plants. These bacteria exploit sophisticated molecular strategies based on multiple secretion systems and their associated virulence factors to overcome the plant defenses, including the physical barrier imposed by the plant cell walls and the innate immune system. Xanthomonads are equipped with a broad and diverse repertoire of Carbohydrate-Active enZymes (CAZymes), which besides enabling the utilization of complex plant carbohydrates as carbon and energy source, can also play pivotal roles in virulence and bacterial lifestyle in the host. CAZymes in xanthomonads are often organized in multienzymatic systems similar to the Polysaccharide Utilization Loci (PUL) from Bacteroidetes known as CUT systems (from Carbohydrate Utilization systems associated with TonB-dependent transporters). Xanthomonas bacteria are also recognized to synthesize distinct exopolysaccharides including xanthan gum and untapped exopolysaccharides associated with biofilm formation. Here, we summarize the current knowledge on the multifaceted roles of CAZymes in xanthomonads, connecting their function with pathogenicity and tissue specificity.
Glycosyltransferase family 47 (GT47) proteins in plants and animals
Authors: Zhang Liang , Prabhakar Pradeep Kumar , Bharadwaj Vivek S. , Bomble Yannick J. , Peña Maria J. , Urbanowicz Breeanna R. 
Published: March 2023

AbstractGlycosyltransferases (GTs) are carbohydrate-active enzymes that are encoded by the genomes of organisms spanning all domains of life. GTs catalyze glycosidic bond formation, transferring a sugar monomer from an activated donor to an acceptor substrate, often another saccharide. GTs from family 47 (GT47, PF03016) are involved in the synthesis of complex glycoproteins in mammals and insects and play a major role in the synthesis of almost every class of polysaccharide in plants, with the exception of cellulose, callose, and mixed linkage β-1,3/1,4-glucan. GT47 enzymes adopt a GT-B fold and catalyze the formation of glycosidic bonds through an inverting mechanism. Unlike animal genomes, which encode few GT47 enzymes, plant genomes contain 30 or more diverse GT47 coding sequences. Our current knowledge of the GT47 family across plant species brings us an interesting view, showcasing how members exhibit a great diversity in both donor and acceptor substrate specificity, even for members that are classified in the same phylogenetic clade. Thus, we discuss how plant GT47 family members represent a great case to study the relationship between substrate specificity, protein structure, and protein evolution. Most of the plant GT47 enzymes that are identified to date are involved in biosynthesis of plant cell wall polysaccharides, including xyloglucan, xylan, mannan, and pectins. This indicates unique and crucial roles of plant GT47 enzymes in cell wall formation. The aim of this review is to summarize findings about GT47 enzymes and highlight new challenges and approaches on the horizon to study this family.
SOPA‐GA‐CNN: Synchronous optimisation of parameters and architectures by genetic algorithms with convolutional neural network blocks for securing Industrial Internet‐of‐Things
Authors: Huang Jia‐Cheng , Zeng Guo‐Qiang , Geng Guang‐Gang , Weng Jian , Lu Kang‐Di 
Published: March 2023

AbstractIn recent years, deep learning has been applied to a variety of scenarios in Industrial Internet of Things (IIoT), including enhancing the security of IIoT. However, the existing deep learning methods utilised in IIoT security are manually designed by heavily relying on the experience of the designers. The authors have made the first contribution concerning the joint optimisation of neural architecture search and hyper‐parameters optimisation for securing IIoT. A novel automated deep learning method called synchronous optimisation of parameters and architectures by GA with CNN blocks (SOPA‐GA‐CNN) is proposed to synchronously optimise the hyperparameters and block‐based architectures in convolutional neural networks (CNNs) by genetic algorithms (GA) for the intrusion detection issue of IIoT. An efficient hybrid encoding strategy and the corresponding GA‐based evolutionary operations are designed to characterise and evolve both the hyperparameters, including batch size, learning rate, weight optimiser and weight regularisation, and the architectures, such as the block‐based network topology and the parameters of each CNN block. The experimental results on five intrusion detection datasets in IIoT, including secure water treatment, water distribution, Gas Pipeline, Botnet in Internet of Things and Power System Attack Dataset, have demonstrated the superiority of the proposed SOPA‐GA‐CNN to the state‐of‐the‐art manually designed models and neuron‐evolutionary methods in terms of accuracy, precision, recall, F1‐score, and the number of parameters of the deep learning models.