bluuebunny/crossref_metadata_2025_split huggingface dataset:
Increasing heatwave frequency in streams and rivers of the United States
Authors: Tassone Spencer J. , Besterman Alice F. , Buelo Cal D. , Ha Dat T. , Walter Jonathan A. , Pace Michael L. 
Published: October 2022

AbstractHeatwaves are increasing in frequency, duration, and intensity in ocean, coastal, and lake ecosystems. While positive water temperature trends have been documented in many rivers, heatwaves have not been analyzed. This study examined heatwaves in rivers throughout the United States between 1996 and 2021. Riverine heatwaves increased in frequency over the study period, with the most robust increases occurring in summer and fall, in mid‐ to high‐order streams, and at free‐flowing sites and sites above a reservoir. The increase in heatwave frequency was accompanied by an increase in moderate strength heatwaves as well as a doubling of the annual mean total number of heatwave days at a site. Riverine heatwaves were often associated with normal or below‐normal discharge conditions and at sites with a mean annual discharge ≤ 250 m3 s−1. These results provide the first assessment of heatwaves in rivers for a large geographic area in the United States.
Quantification of dissolved metabolites in environmental samples through cation‐exchange solid‐phase extraction paired with liquid chromatography–mass spectrometry
Authors: Sacks Joshua S. , Heal Katherine R. , Boysen Angela K. , Carlson Laura T. , Ingalls Anitra E. 
Published: October 2022

AbstractSmall, biologically produced, organic molecules called metabolites play key roles in microbial systems where they directly mediate exchanges of nutrients, energy, and information. However, the study of dissolved polar metabolites in seawater and other environmental matrices has been hampered by analytical challenges including high inorganic ion concentrations, low analyte concentrations, and high chemical diversity. Here we show that a cation‐exchange solid‐phase extraction (CX‐SPE) sample preparation approach separates positively charged and zwitterionic metabolites from seawater and freshwater samples, allowing their analysis by liquid chromatography–mass spectrometry. We successfully extracted 69 known compounds from an in‐house compound collection and evaluated the performance of the method by establishing extraction efficiencies (EEs) and limits of detection (pM to low nM range) for these compounds. CX‐SPE extracted a range of compounds including amino acids and compatible solutes, resulted in very low matrix effects, and performed robustly across large variations in salinity and dissolved organic matter concentration. We compared CX‐SPE to an established SPE procedure (PPL‐SPE) and demonstrate that these two methods extract fundamentally different fractions of the dissolved metabolite pool with CX‐SPE extracting compounds that are on average smaller and more polar. We use CX‐SPE to analyze four environmental samples from distinct aquatic biomes, producing some of the first CX‐SPE dissolved metabolomes. Quantified compounds ranged in concentration from 0.0093 to 49 nM and were composed primarily of amino acids (0.15–16 nM) and compatible solutes such as trimethylamine N‐oxide (0.89–49 nM) and glycine betaine (2.8–5.2 nM).
Targeted Drug Delivery Systems for Eliminating Intracellular Bacteria
Authors: Feng Wenli , Chittò Marco , Moriarty Thomas Fintan , Li Guofeng , Wang Xing 
Published: October 2022

AbstractThe intracellular survival of pathogenic bacteria requires a range of survival strategies and virulence factors. These infections are a significant clinical challenge, wherein treatment frequently fails because of poor antibiotic penetration, stability, and retention in host cells. Drug delivery systems (DDSs) are promising tools to overcome these shortcomings and enhance the efficacy of antibiotic therapy. In this review, the classification and the mechanisms of intracellular bacterial persistence are elaborated. Furthermore, the systematic design strategies applied to DDSs to eliminate intracellular bacteria are also described, and the strategies used for internalization, intracellular activation, bacterial targeting, and immune enhancement are highlighted. Finally, this overview provides guidance for constructing functionalized DDSs to effectively eliminate intracellular bacteria.
Facets of spherical random polytopes
Authors: Bonnet Gilles , O'Reilly Eliza 
Published: October 2022

AbstractFacets of the convex hull of n independent random vectors chosen uniformly at random from the unit sphere in are studied. A particular focus is given on the height of the facets as well as the expected number of facets as the dimension increases. Regimes for n and d with different asymptotic behavior of these quantities are identified and asymptotic formulas in each case are established. Extensions of several known results in fixed dimension to the case where dimension tends to infinity are described.
Derivation and Validation of a Phenoconversion‐Related Pattern in Idiopathic Rapid Eye Movement Behavior Disorder
Authors: Mattioli Pietro , Orso Beatrice , Liguori Claudio , Famà Francesco , Giorgetti Laura , Donniaquio Andrea , Massa Federico , Giberti Andrea , Vállez García David , Meles Sanne K. , Leenders Klaus L. , Placidi Fabio , Spanetta Matteo , Chiaravalloti Agostino , Camedda Riccardo , Schillaci Orazio , Izzi Francesca , Mercuri Nicola B. , Pardini Matteo , Bauckneht Matteo , Morbelli Silvia , Nobili Flavio , Arnaldi Dario 
Published: October 2022

AbstractBackgroundIdiopathic rapid eye movement sleep behavior disorder (iRBD) represents the prodromal stage of α‐synucleinopathies. Reliable biomarkers are needed to predict phenoconversion.ObjectiveThe aim was to derive and validate a brain glucose metabolism pattern related to phenoconversion in iRBD (iRBDconvRP) using spatial covariance analysis (Scaled Subprofile Model and Principal Component Analysis [SSM‐PCA]).MethodsSeventy‐six consecutive iRBD patients (70 ± 6 years, 15 women) were enrolled in two centers and prospectively evaluated to assess phenoconversion (30 converters, 73 ± 6 years, 14 Parkinson's disease and 16 dementia with Lewy bodies, follow‐up time: 21 ± 14 months; 46 nonconverters, 69 ± 6 years, follow‐up time: 33 ± 19 months). All patients underwent [18F]FDG‐PET (18F‐fluorodeoxyglucose positron emitting tomography) to investigate brain glucose metabolism at baseline. SSM‐PCA was applied to obtain the iRBDconvRP; nonconverter patients were considered as the reference group. Survival analysis and Cox regression were applied to explore prediction power.ResultsFirst, we derived and validated two distinct center‐specific iRBDconvRP that were comparable and significantly able to predict phenoconversion. Then, SSM‐PCA was applied to the whole set, identifying the iRBDconvRP. The iRBDconvRP included positive voxel weights in cerebellum; brainstem; anterior cingulate cortex; lentiform nucleus; and middle, mesial temporal, and postcentral areas. Negative voxel weights were found in posterior cingulate, precuneus, middle frontal gyrus, and parietal areas. Receiver operating characteristic analysis showed an area under the curve of 0.85 (sensitivity: 87%, specificity: 72%), discriminating converters from nonconverters. The iRBDconvRP significantly predicted phenoconversion (hazard ratio: 7.42, 95% confidence interval: 2.6–21.4).ConclusionsWe derived and validated an iRBDconvRP to efficiently discriminate converter from nonconverter iRBD patients. [18F]FDG‐PET pattern analysis has potential as a phenoconversion biomarker in iRBD patients. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Diverse roles for axon guidance pathways in adult tissue architecture and function
Authors: Laws Kaitlin M. , Bashaw Greg J. 
Published: October 2022

AbstractClassical axon guidance ligands and their neuronal receptors were first identified due to their fundamental roles in regulating connectivity in the developing nervous system. Since their initial discovery, it has become clear that these signaling molecules play important roles in the development of a broad array of tissue and organ systems across phylogeny. In addition to these diverse developmental roles, there is a growing appreciation that guidance signaling pathways have important functions in adult organisms, including the regulation of tissue integrity and homeostasis. These roles in adult organisms include both tissue‐intrinsic activities of guidance molecules, as well as systemic effects on tissue maintenance and function mediated by the nervous and vascular systems. While many of these adult functions depend on mechanisms that mirror developmental activities, such as regulating adhesion and cell motility, there are also examples of adult roles that may reflect signaling activities that are distinct from known developmental mechanisms, including the contributions of guidance signaling pathways to lineage commitment in the intestinal epithelium and bone remodeling in vertebrates. In this review, we highlight studies of guidance receptors and their ligands in adult tissues outside of the nervous system, focusing on in vivo experimental contexts. Together, these studies lay the groundwork for future investigation into the conserved and tissue‐specific mechanisms of guidance receptor signaling in adult tissues.Key Points
Axon guidance ligand and receptor expression often persist into adulthood in neuronal and non‐neuronal tissues alike.

Recent work in genetic model organisms highlights the diverse roles of guidance factors in adult tissues.

Guidance factors are required intrinsically in a variety of adult tissues but can also regulate tissue function indirectly via functions in the nervous and vascular systems.

Studies outside of the nervous system are likely to enhance our understanding of these diverse siganling molecules and could suggest novel signaling modalities in the nervous system.
Imaging of pediatric neuroblastoma: A COG Diagnostic Imaging Committee/SPR Oncology Committee White Paper
Authors: Lai Hollie A. , Sharp Susan E. , Bhatia Aashim , Dietz Kelly R. , McCarville Beth , Rajderkar Dhanashree , Servaes Sabah , Shulkin Barry L. , Singh Sudha , Trout Andrew T. , Watal Pankaj , Parisi Marguerite T. 
Published: October 2022

AbstractNeuroblastoma is the most common extracranial solid neoplasm in children. This manuscript provides consensus‐based imaging recommendations for pediatric neuroblastoma patients at diagnosis and during follow‐up.
Irinotecan dose schedule for the treatment of Ewing sarcoma
Authors: Slotkin Emily K. , Meyers Paul A. 
Published: October 2022

AbstractIrinotecan and temozolomide achieve objective responses in patients with Ewing sarcoma that recurs after initial therapy. Optimal dose schedules have not been defined. We reviewed published series of patients treated with irinotecan and temozolomide for Ewing sarcoma that recurred after initial therapy. We compared objective response rates for patients who received 5‐day irinotecan treatment schedules to response rates for patients who achieved 10‐day irinotecan treatment schedules. Among 89 patients treated with a 10‐day irinotecan schedule, there were 47 objective responses (53%). Among 180 patients treated with a 5‐day irinotecan schedule, there were 52 responses (29%). In the treatment of recurrent Ewing sarcoma, investigators should consider the use of a 10‐day schedule for administration of irinotecan.
Relationship between the timing of chemotherapy and surgical complications following surgical biopsy in children with malignant solid tumors
Authors: Hayashi Kentaro , Mori Makiko , Sanmoto Youhei , Oiki Hironobu , Ishimaru Tetsuya , Arakawa Yuki , Koh Katsuyoshi , Kawashima Hiroshi 
Published: October 2022

AbstractBackgroundBiopsies for diagnosis before chemotherapy is common in children with malignant solid tumors. Wound healing is delayed by chemotherapy; however, the ideal interval between biopsy and chemotherapy remains unknown. We aimed to summarize the relationship between chemotherapy timing and postoperative surgical complications.ProcedureWe retrospectively reviewed patients with malignant solid tumors who underwent chemotherapy after surgical biopsy at our institution between January 2014 and August 2020. The primary outcomes were postoperative surgical complications (within 30 days) and the timing of chemotherapy.ResultsForty‐three patients were analyzed. The types of tumors were neuroblastoma (n = 20), hepatoblastoma (n = 10), Ewing sarcoma (n = 5), germ cell tumor (n = 3), angiosarcoma (n = 1), clear cell sarcoma (n = 1), ganglioneuroblastoma (n = 1), rhabdoid tumor (n = 1), and rhabdomyosarcoma (n = 1). The operative procedures were thoracoscopy (n = 5), laparotomy (n = 17), laparoscopy (n = 14), and superficial (n = 7). The median time [range] to chemotherapy after biopsy was 4 [0–21] days. No surgical complications occurred before chemotherapy, and two (4.7%) patients experienced complications after chemotherapy. These included postoperative hemorrhage (grade 3) and surgical site infection (grade 1). Chemotherapy was initiated 1 and 6 days after biopsy, respectively, in these cases. Complications occurred 10 and 23 days after biopsy, respectively.ConclusionThe rate of postoperative surgical complications related to biopsy seems acceptable, even when chemotherapy was initiated in the early postoperative period. Early initiation of chemotherapy after biopsy may be a suitable option, particularly in children with bulky or symptomatic malignant solid tumors.
Simultaneous determination of seven anthraquinones in Cassiae semen by natural deep eutectic solvent extraction
Authors: Xu Ying , Wan Yiqun , Liu Fan , Chen Jinping , Tan Ting , Guo Lan 
Published: October 2022

AbstractIntroductionAnthraquinones are considered to be an important class of bioactive substances in Cassiae semen, and the content of anthraquinones is an essential indicator of the quality of Cassiae semen raw herbal materials.ObjectivesThe present study aimed to propose a novel, efficient and effective ultra‐high‐performance liquid chromatography (UHPLC) method for the simultaneous determination of aurantio‐obtusin, aloe‐emodin, rhein, obtusin, emodin, chrysophanol and physcion, with the help of natural deep eutectic solvents (NADESs) as extraction solvents.MethodologyNADESs were introduced to the simultaneous extraction of anthraquinones from Cassiae semen samples. Several NADESs were designed by menthol, choline chloride, d‐glucose as hydrogen bond acceptors, with nine different acids and appropriate water as hydrogen bond donors. The parameters affecting the extraction efficiency of seven anthraquinones were demonstrated in detail.ResultsAmong the obtained NADESs, the highest extraction efficiency was demonstrated by a solution consisting of d‐glucose, lactic acid and water with a molar ratio of 1:5:4. The seven anthraquinones were separated on an ACQUITY UPLC® BEH C18 column (2.1 mm × 100 mm, 1.8 μm) and detected within 12 min by a photodiode array (PDA) detector at 254 and 284 nm. The limits of detection and quantitation were from 1.00 to 7.26 μg/l and 3.29 to 24.22 μg/l, respectively. And Cassiae semen sample‐based recoveries ranged from 81.13% to 113.78% with the relative standard deviation (RSD) (n = 6) of 1.4% to 10.1%.ConclusionThe developed method demonstrated that NADESs were applied successfully to analyse the anthraquinones in Cassiae semen samples collected from different regions in China.
Integrating evaluation data to enhance treatment planning for students with ASD
Authors: Bray Melissa A. , Dale Brittany A. 
Published: October 2022

AbstractAccurate assessment across the various characteristics of autism spectrum disorder (ASD) and its comorbidities can help guide intervention planning. This introduction to the second issue of a double special issue on ASD assessment highlights assessment of various characteristics of and comorbidities with ASD to assist with treatment planning. For instance, anxiety and attention deficit hyperactivity disorder are two of the most common comorbidities with ASD. Educational, clinical, and medical interventions for individuals with ASD can vary based on the unique cognitive and additional mental health needs of the individual.
Proteomics profiling of kidney brush border membrane from rats using LC‐MS/MS analysis
Authors: Yu Aiying , Zhao Jingfu , Peng Wenjing , Yadav Shiv Pratap S. , Molitoris Bruce A , Wagner Mark C , Mechref Yehia 
Published: October 2022

AbstractPurposeChronic kidney disease (CKD) is defined by a reduced renal function, that is, glomerular filtration rate, and the extent of kidney damage is assessed by determining serum creatinine levels and proteins in urine, diagnosed as proteinuria/albuminuria. Albuminuria increases with age and can result from glomerular and/or proximal tubule (PT) alterations. Brush border membranes (BBMs) on PT cells are important in maintaining the stability of PT functions.Experimental DesignAn LC‐MS/MS bottom‐up proteomics analysis of BBMs from four groups of rat models was applied to investigate protein abundance alterations associated with CKD progression. Moreover, systems biology analyses were used to identify key proteins that can provide insight into the different regulated molecular pathways and processes associated with CKD.ResultsOur results indicated that 303 proteins showed significantly altered expressions from the severe CKD BBM group when compared to the control. Focusing on renal diseases, several proteins including Ctnnb1, Fah, and Icam1 were annotated to kidney damage and urination disorder. The up‐regulation of Ctnnb1 (β‐catenin) could contribute to CKD through the regulation of the WNT signaling pathway.Conclusion and Clinical RelevanceOverall, the study of protein abundance changes in BBMs from rat models helps to reveal protein corrections with important pathways and regulator effects involved in CKD. Although this study is focused on rat models, the results provided more information for a deeper insight into possible CKD mechanisms in humans.
BindWeb: A web server for ligand binding residue and pocket prediction from protein structures
Authors: Xia Ying , Xia Chunqiu , Pan Xiaoyong , Shen Hong‐Bin 
Published: October 2022

AbstractKnowledge of protein–ligand interactions is beneficial for biological process analysis and drug design. Given the complexity of the interactions and the inadequacy of experimental data, accurate ligand binding residue and pocket prediction remains challenging. In this study, we introduce an easy‐to‐use web server BindWeb for ligand‐specific and ligand‐general binding residue and pocket prediction from protein structures. BindWeb integrates a graph neural network GraphBind with a hybrid convolutional neural network and bidirectional long short‐term memory network DELIA to identify binding residues. Furthermore, BindWeb clusters the predicted binding residues to binding pockets with mean shift clustering. The experimental results and case study demonstrate that BindWeb benefits from the complementarity of two base methods. BindWeb is freely available for academic use at http://www.csbio.sjtu.edu.cn/bioinf/BindWeb/.
Modeling cloud properties over the 79 N Glacier (Nioghalvfjerdsfjorden, NE Greenland) for an intense summer melt period in 2019
Authors: Andernach Malena , Turton Jenny V. , Mölg Thomas 
Published: October 2022

AbstractLong believed to be insignificant, melt activity on the Northeast Greenland Ice Stream (NEGIS) has increased in recent years. Summertime Arctic clouds have the potential to strongly affect surface melt processes by regulating the amount of radiation received at the surface. However, the cloud effect over Greenland is spatially and temporally variable and high‐resolution information on the northeast is absent. This study aims at exploring the potential of a high‐resolution configuration of the polar‐optimized Weather Research & Forecasting Model (PWRF) in simulating cloud properties in the area of the Nioghalvfjerdsfjorden Glacier (79 N Glacier). Subsequently, the model simulations are employed to investigate the impact of Arctic clouds on the surface energy budget and on surface melting during the extensive melt event at the end of July 2019. Compared to automatic weather station (AWS) measurements and remote‐sensing data (Sentinel‐2A and the Moderate Resolution Imaging Spectroradiometer, MODIS), PWRF simulates cloud properties with sufficient accuracy. It appears that peak melt was caused by an increase in solar radiation and sensible heat flux (SHF) in response to a blocking anticyclone and foehn winds in the absence of clouds. Cloud warming over high‐albedo surfaces helped to precondition the surface and prolonged the melting as the anticyclone abated. The results are sensitive to the surface albedo and suggest spatiotemporal differences in the cloud effect as snow and ice properties change over the course of the melting season. This demonstrates the importance of including high‐resolution information on clouds in analyses of ice sheet dynamics.
Delay‐dependent stability of highly nonlinear neutral stochastic functional differential equations
Authors: Shen Mingxuan , Fei Chen , Fei Weiyin , Mao Xuerong , Mei Chunhui 
Published: October 2022

AbstractThis article focuses on the delay‐dependent stability of highly nonlinear hybrid neutral stochastic functional differential equations (NSFDEs). The delay dependent stability criteria for a class of highly nonlinear hybrid NSFDEs are derived via the Lyapunov functional. The stabilities discussed in this article include stability, asymptotically stability and exponential stability. A numerical example is given to illustrate the criteria established.
Composite adaptive neural tracking control of uncertain strict‐feedback systems
Authors: Huang Jeng‐Tze , Jiang Yu‐Wei 
Published: October 2022

AbstractComposite adaptive neural control of uncertain strict‐feedback systems is synthesized. It mainly consists of an adaptive neural backstepping controller, an immersion and invariance (I&I) update algorithm, and a set of state filters for conquering the in‐feasibility of the states' derivatives required in the update algorithm. For compensating the indefinite coupling terms in the update algorithm, a novel nonlinear ‐modification method is promoted. To further tackle the case with unknown input gain functions, the dynamic surface control (DSC) and the adding‐an‐integrator technique are incorporated for preventing the so‐called explosion of complexity and the algebraic‐loop problems in the virtual controller and the composite update algorithm, respectively. The proposed design ensures the semi‐globally uniformly ultimately bounded (SGUUB) stability of the closed‐loop system and, in particular, the convergence of prediction errors to the vicinity of zero without persistent excitation (PE), which in turn improves the tracking performance.