bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantifying intra‐ and inter‐annual dynamics of river‐floodplain connectivity and wetland inundation with remote sensing and wavelet analysis
Authors: Zheng Hanwu , Tetzlaff Doerthe , Freymüller Jonas , Chmieleski Jana , Okujeni Akpona , Soulsby Chris 
Published: March 2024

AbstractWe used imagery from remote sensing (FORCE Time Series Analysis submodule (combining Landsat and Sentinel‐2 imagery) to derive spatially distributed times series (8 years) of NDWI data to infer patterns of floodplain inundation and river‐floodplain connectivity in two contrasting polders in the Lower Oder Valley National Park. The upstream Polder A (14.4 km2) was extensively flooded for prolonged periods most winters. Wavelet analysis showed that this strong seasonality was primarily driven by winter water levels in the river Oder that could enter and leave the polder through two opened floodgates. Subsequent drainage was slow and aided by a pumping station. Inundation of the downstream Polder 10 (17.7km2) was lower and had less marked seasonality. This reflected the impact of flood attenuation by storage in Polder A upstream, but also the greater connectivity (via 10 floodgates) to the Oder and a functional network of channels, which facilitated rapid drainage after flood peaks. In Polder A, secondary periods of transient inundation could also occur in response to local intense summer rainfall. Wavelet analysis also showed that groundwater recharge in and around Polder A is primarily induced by floodwater, whilst Polder 10 also reflects the influence of local rainfall‐driven recharge. The flood regimes of the two polders showed marked inter‐annual variation, largely dependent on flows from the upper Oder catchment. Understanding these patterns and processes of inundation is important for both managing flows and sustaining valuable wetland habitats within the National Park. Given projected climate change in eastern Europe and possible management alterations to the flow regime of the Oder, the potential implications for these habitats needs urgent attention.
To know or not to know: Effect of third‐trimester sonographic fetal weight estimation on outcomes of large‐for‐gestational age neonates
Authors: Zeevi Gil , Regev Noam , Key‐Segal Chen , Romano Asaf , Houri Ohad , Bercovich Or , Hadar Eran , Berezowsky Alexandra 
Published: March 2024

AbstractObjectiveThe aim of the present study was to evaluate the impact of late third‐trimester sonographic estimation of large for gestational age fetuses on pregnancy management and selected fetal and maternal adverse outcomes.MethodsA retrospective cohort study was conducted in a tertiary, university‐affiliated medical center between 2015 and 2019. All singleton large‐for‐gestational‐age neonates born during this period were included. The cohort was divided into two groups: neonates for whom fetal weight was estimated on late third trimester (<14 days before delivery) sonography and neonates with no recent fetal weight estimation. The groups were compared for pregnancy management strategies, rates of labor induction, cesarean deliveries, and maternal and neonatal outcomes.ResultsA total of 1712 neonates were included in the study, among whom 791 (46.2%) had a late third‐trimester fetal weight estimation (study group) and 921 (53.8%) did not (control group). Compared to the control group, the study group was characterized by higher rates of maternal primiparity (24.20% vs 19.20%, P = 0.013), higher maternal body mass index (26.0 ± 6.2 kg/m2 vs 24.7 ± 4.5 kg/m2, P = 0.002), more inductions of labor (29.84% vs 16.40%, P < 0.001) and cesarean deliveries (31.0% vs 19.97%, P < 0.001). There were no clinical differences in neonatal birth weight (4041 ± 256 g vs 3984 264 g, P < 0.001) and no significant differences between other neonatal outcomes, as rates of admission to the neonatal intensive care unit, jaundice, hypoglycemia, and shoulder dystocia.ConclusionLate third‐trimester sonographic fetal weight estimation is associated with a higher rate of labor induction and planned and intrapartum cesarean deliveries. In this retrospective cohort study, those interventions did not lead to reduction in maternal or neonatal adverse outcomes.
Emulgel based on fish skin collagen‐microalgae‐silver increased neovascularization and re‐epithelialization of full thickness burn in rats
Authors: de Souza Francisco Fábio Pereira , Castro‐Silva Igor Iuco , Andrade Fábia Karine , Mattos Adriano Lincoln Albuquerque , de Sousa Lopes Mirrael , da Silva Barroso Wallady , de Souza Bartolomeu Warlene Silva , de Sá Moreira de Souza‐Filho Men , da Silva André Luis Coelho 
Published: March 2024

AbstractDeep skin burn represents a global morbidity and mortality problem, and the limitation of topical treatment agents has motivated research to development new formulations capable of preventing infections and accelerating healing. The aim of this work was to develop and characterize an emulgel based on collagen (COL) and gelatin (GEL) extracted from fish skin associated with Chlorella vulgaris extract (CE) and silver nitrate (AgNO3). COL and GEL were characterized by physicochemical and thermal analyses; and CE by electrophoresis and its antioxidant capacity. Three emulgels formulations were developed: COL (0.5%) + GEL (2.5%) (E1), COL+GEL+CE (1%) (E2), and COL+GEL+CE + AgNO3 (0.1%) (E3). All formulations were characterized by physicochemical, rheology assays, and preclinical analyses: cytotoxicity (in vitro) and healing potential using a burn model in rats. COL and GEL showed typical physicochemical characteristics, and CE presented 1.3 mg/mL of proteins and antioxidant activity of 76%. Emulgels presented a coherent physicochemical profile and pseudoplastic behavior. Preclinical analysis showed concentration‐dependent cytotoxicity against fibroblast and keratinocytes. In addition, all emulgels induced similar percentages of wound contraction and complete wound closure in 28 days. The histopathological analysis showed higher scores for polymorphonuclear cells to E1 and greater neovascularization and re‐epithelialization to E3. Then, E3 formulation has potential to improve burn healing, although its use in a clinical setting requires further studies.
Proton pump inhibitors enhance macropinocytosis‐mediated extracellular vesicle endocytosis by inducing membrane v‐ATPase assembly
Authors: Lu Xinliang , Song Zhengbo , Hao Jiayue , Kong Xianghui , Yuan Weiyi , Shen Yingying , Zhang Chengyan , Yang Jie , Yu Pengfei , Qian Yun , Zhang Gensheng , Feng Huajun , Wang Jianli , Cai Zhenzhai , Cai Zhijian 
Published: March 2024

AbstractBesides participating in diverse pathological and physiological processes, extracellular vesicles (EVs) are also excellent drug‐delivery vehicles. However, clinical drugs modulating EV levels are still lacking. Here, we show that proton pump inhibitors (PPIs) reduce EVs by enhancing macropinocytosis‐mediated EV uptake. PPIs accelerate intestinal cell endocytosis of autocrine immunosuppressive EVs through macropinocytosis, thereby aggravating inflammatory bowel disease. PPI‐induced macropinocytosis facilitates the clearance of immunosuppressive EVs from tumour cells, improving antitumor immunity. PPI‐induced macropinocytosis also increases doxorubicin and antisense oligonucleotides of microRNA‐155 delivery efficiency by EVs, leading to enhanced therapeutic effects of drug‐loaded EVs on tumours and acute liver failure. Mechanistically, PPIs reduce cytosolic pH, promote ATP6V1A (v‐ATPase subunit) disassembly from the vacuolar membrane and enhance the assembly of plasma membrane v‐ATPases, thereby inducing macropinocytosis. Altogether, our results reveal a mechanism for macropinocytic regulation and PPIs as potential modulators of EV levels, thus regulating their functions.
Ranking environmental and edaphic attributes driving soil microbial community structure and activity with special attention to spatial and temporal scales
Authors: Gupta Vadakattu V. S. R. , Tiedje James M. 
Published: March 2024

AbstractThe incredibly complex soil microbial communities at small scales make their analysis and identification of reasons for the observed structures challenging. Microbial community structure is mainly a result of the inoculum (dispersal), the selective advantages of those organisms under the habitat‐based environmental attributes, and the ability of those colonizers to sustain themselves over time. Since soil is protective, and its microbial inhabitants have long adapted to varied soil conditions, significant portions of the soil microbial community structure are likely stable. Hence, a substantial portion of the community will not correlate to often measured soil attributes. We suggest that the drivers be ranked on the basis of their importance to the fundamental needs of the microbes: (i) those that supply energy, i.e., organic carbon and electron acceptors; (ii) environmental effectors or stressors, i.e., pH, salt, drought, and toxic chemicals; (iii) macro‐organism associations, i.e., plants and their seasonality, animals and their fecal matter, and soil fauna; and (iv) nutrients, in order, N, P, and probably of lesser importance, other micronutrients, and metals. The relevance of drivers also varies with spatial and time scales, for example, aggregate to field to regional, and persistent to dynamic populations to transcripts, and with the extent of phylogenetic difference, hence phenotypic differences in organismal groups. We present a summary matrix to provide guidance on which drivers are important for particular studies, with special emphasis on a wide range of spatial and temporal scales, and illustrate this with genomic and population (rRNA gene) data from selected studies.
Neural network predictive control of converter inlet temperature based on event‐triggered mechanism in flue gas acid production
Authors: Liu Minghua , Li Xiaoli , Wang Kang 
Published: March 2024

AbstractThe process of smelting non‐ferrous metals results in significant emissions of flue gas that contains sulfur dioxide (SO), which is very harmful to the environment. Through precise control of converter inlet temperature, it is feasible to enhance the conversion ratio of SO and simultaneously mitigate environmental pollution by generating acid from flue gas. Because of the high degree of uncertainty in smelting process, converter inlet temperature is challenging to regulate and controller frequently needs updating. To improve control performance and decrease controller update times, an event‐triggered neural network model predictive control (ETNMPC) strategy is proposed. First, long short‐term memory (LSTM) prediction model and model predictive controller are developed. Second, it is decided whether to update the existing controller by designing an event‐triggered mechanism. Finally, using real data from a copper facility in Jiangxi Province, the temperature control experiment of converter inlet is carried out. Simulation results demonstrate that the proposed ETNMPC outperforms conventional time‐triggered method in terms of control performance, greatly lowers the times of controller updates, and significantly lowers computation costs and communication burden.
Treatment Delay and HPV Status on OPSCC With Upfront Surgery: Analysis of National Cancer Database
Authors: Vasudev Milind , Martin Elaine , Frank Madelyn I. , Meller Leo L.T. , Haidar Yarah M. 
Published: March 2024

AbstractObjectiveEvaluate the effect of treatment delay on survival in human papillomavirus (HPV)‐positive and HPV‐negative oropharyngeal squamous cell carcinoma (OPSCC) patients undergoing primary surgical resection.Study DesignRetrospective cohort study using the 2010‐2017 National Cancer Database.SettingMulticenter database study.MethodsPatients >18 years old with OPSCC and known HPV status, treated surgically with or without postoperative radiation/chemotherapy were included. Two cohorts based on HPV status were grouped by time to treatment initiation (TD‐TI, ≤30, 31‐60, ≥61 days) and surgery to radiotherapy (TS‐RT, ≤42, 43‐66, ≥67 days). Univariate, Kaplan‐Meier, and multivariate analyses assessed correlations between demographic and clinical factors with overall survival in treatment delay groups.ResultsIncluded were 1643 HPV‐positive OPSCC patients and 391 HPV‐negative OPSCC patients. No associations between survival and gender, age, race, insurance, or radiotherapy length were observed. Regardless of HPV status, larger tumor size (>2 cm) and lymphovascular invasion predicted worse survival. HPV negative patients with >4 lymph nodes involved had 2.5× greater mortality risk (P = .039). Robotic surgery was associated with improved survival only in HPV positive patients (hazard ratio [HR]: 0.41, P < .001). In HPV positive patients, higher TD‐TI related to lower mean survival, although this was not significant on multivariate analysis. HPV negative patients with >42 days of TS‐RT had decreased survival (43‐66 days, HR 1.63, P = .049; ≥67 days, HR 2.10, P = .032).ConclusionLonger TS‐RT was associated with lower overall survival in HPV negative patients. Treatment delay was not associated with survival in HPV positive OPSCC according to multivariate analysis. These findings enhance knowledge about treatment delay effects in OPSCC, aiding providers in decisions and patient communication.
Association analysis between the distribution of surface physical characteristics and bonding performance of carbon fiber composites
Authors: Wang Qian , Jia Caixia , Li Zhixin , Pu Lei , Qiu Yunpeng , Yan Chao , Feng Bowen 
Published: March 2024

AbstractEffects of plasma treatment distance on the adhesion properties of carbon fiber composites were investigated, and the association between the distribution of surface physical characteristics on the composites and their bonding properties was discussed. After plasma treatment at different distances, surface morphology of the bonding area was obtained and the roughness distribution model was established. The change in surface physical characteristics directly influences the wettability of the bonding surface and the tensile shear strength (TSS) of the bonded components. When the TSS showed an increase by 19.47% at the treatment distance of 15 mm, metallographic images indicated that the bonding layer was integrated with the composites and the joint in the component was dominated by cohesive failure. When the TSS showed a decrease by 30.72% at the treatment distance of 5 mm, metallographic images indicated that voids and delamination were introduced in the bonding layer and fiber tearing failure mode appeared in the plasma etched area. Moisture‐heat resistance of the bonded components was also considered and a noticeable increase in water absorption was observed in the case of excessive treatment at the distance of 5 mm, which was also related to the distribution of physical characteristics induced by the plasma treatment.Highlights
Surface characteristic distribution of plasma‐modified composites was analyzed.
State of resin and fibers on composite surface varied with the treatment distance.
Semi‐annular plasma treatment traces appeared in the roughness distribution.
The high roughness in the distribution played a key role in bonding properties.
Performance degradation due to close treatment was also distribution‐dependent.
On the cogent formulation of an elastomeric silicone ink material for direct ink write (DIW) 3D printing
Authors: Elahee G. M. Fazley , Cheng Xiang , Rong Lihan , Xu Ming‐Wei , Souza Lucio , Advincula Rigoberto C. , Maia Joao 
Published: March 2024

AbstractAdhesives and sealants show fine rheology with good physical and mechanical properties as viscous pastes, a possible starting point for developing direct ink writing (DIW) 3D printing ink. However, many commercial adhesives and sealants take days or weeks to cure fully. DIW 3D‐printed parts made directly from these sealants are not designed for a scalable manufacturing process and high‐volume production. Moreover, most of these adhesives and sealants have volume shrinkage during cure. A systematic understanding of formulation methods and design principles for an elastomeric silicone DIW ink can overcome these issues. This study presents the cogent formulation development of a 3D printable thermoset elastomer silicone that gels and cures isotropically in minutes, reducing cycle time for rapid ink development with no shrinkage during cure. More specifically, we outline the principles of raw material selection of a formulation to achieve excellent rheology, printability, synchronized working, and gel time fitting requirements closer to scalable manufacturing. The reaction kinetics and their corresponding 3D‐printed structural properties are also described. Interest in future work is toward a rational DIW 3D printing ink material development protocol and use of machine learning (ML).Highlights
Formulation method flexibility and design principle of DIW ink.
Raw material selection principle to achieve optimal rheology for DIW printing.
Ink gel kinetics for large‐scale DIW manufacturing.
Hydrosilylation conversion over time at different ambient temperatures.
Structural properties of DIW 3D printed parts.
Vancomycin AUC0–24 estimation using first‐order pharmacokinetic methods in pediatric patients
Authors: Brandon Hope H. , Burgess David S. , Wallace Katie L. , Autry Elizabeth B. , Olney Katie B. 
Published: March 2024

AbstractIntroductionThe optimal dosing and monitoring of vancomycin in pediatrics is still unknown but has evolved to emphasize area under the curve over 24 h (AUC0–24) over minimum concentration (Cmin) monitoring. Real‐world data supporting the feasibility of two‐concentration kinetics with first‐order equations for the estimation of vancomycin AUC0–24 in pediatric patients are lacking.ObjectivesTo describe the interplay of vancomycin dose, AUC0–24, and Cmin using first‐order equations within four pediatric age groups.MethodsThis is a single‐center, retrospective cohort study analyzing pediatric patients (<18 years) receiving intravenous vancomycin between 2020 and 2022. Included patients received at least 24 h of intravenous vancomycin with two concentrations obtained within 96 h of therapy initiation. Patients with baseline renal dysfunction were excluded. Patients were divided into four age categories: neonates (≤28 days), infants (29 days to <1 year), children (1–12 years), and adolescents (13–17 years). First‐order equations were utilized to estimate pharmacokinetic parameters and AUC0–24.ResultsOverall, 219 patients (median age of 6 years [IQR 1–12]) met inclusion criteria. The median vancomycin daily dose was 30 mg/kg in neonates, 70 mg/kg in infants and children, and 52 mg/kg in adolescents. Median Cmin and AUC0–24 values among all age groups were 8.68 mg/L and 505 mg * h/L, respectively. For AUC0–24 values outside of the therapeutic range (400–600 mg * h/L), more values were SUPRAtherapeutic (>600 mg * h/L) than SUBtherapeutic (<400 mg * h/L). The overall trend within our data showed suboptimal correlation between Cmin and AUC0–24. However, 71% of patients with Cmin values of 5–10 mg/L had an AUC0–24 within the therapeutic range of 400–600 mg * h/L, whereas 23 patients (92%) with a SUPRAtherapeutic AUC0–24 had a Cmin value ≥15 mg/L. Approximately 10% of patients experienced acute kidney injury.ConclusionsOur data describe the relationship between vancomycin dose, Cmin, and AUC0–24 in pediatric patients. We demonstrated the feasibility of using first‐order equations to estimate AUC0–24, using two concentrations obtained at steady state to monitor efficacy and safety in pediatric patients receiving intravenous vancomycin. Our data showed suboptimal correlation between AUC0–24 and Cmin, which indicates that Cmin should not be used as a surrogate marker for a therapeutic AUC0–24 in pediatric patients. In alignment with the 2020 vancomycin consensus guidelines, we suggest utilizing AUC0–24 for efficacy and safety monitoring.
A population pharmacokinetic model using allometric scaling for baricitinib in patients with juvenile idiopathic arthritis
Authors: Decker Rodney L. , Steven Ernest C. , Radtke David B. , Wang Rona , Araújo Joana , Keller Stuart Y. , Zhang Xin 
Published: March 2024

AbstractBaricitinib is approved for the treatment of rheumatoid arthritis (RA) in more than 70 countries, and juvenile idiopathic arthritis (JIA) in the European Union. Population pharmacokinetic (PK) models were developed in a phase 3 trial to characterize PK in pediatric patients with JIA and identify weight‐based dosing regimens. The phase 3, randomized, double‐blind, placebo‐controlled withdrawal, efficacy and safety trial, JUVE‐BASIS, enrolled patients (aged 2 to <18 years) with polyarticular course JIA. During a safety/PK period, baricitinib concentration data from age‐based dose cohorts were compared to concentrations from adult patients receiving 4‐mg QD. PK data were used to develop a population PK model with allometric scaling to determine a weight‐based posology in pediatric patients with JIA that matched the adult 4‐mg exposure. Baricitinib plasma concentrations from 217 pediatric patients were used to characterize PK. Based on the adult model, pediatric PK was best described using a 2‐compartment model with allometric scaling on clearance and volume of distribution and renal function (estimated with glomerular filtration rate [GFR], a known covariate affecting PK of baricitinib) on clearance. The PK modeling suggested the optimal dosing regimen based on weight for pediatric patients as: 2‐mg QD for patients 10 to <30 kg and 4‐mg QD for patients ≥30 kg. The use of a population PK model of baricitinib treatment in adult patients with RA, with the addition of allometric scaling for weight on clearance and volume terms, was useful to predict exposures and identify weight‐based dosing in pediatric patients with JIA.
Differentiated Reading Groups: Bridging Literacy Instruction and Culturally Sustaining Pedagogy
Authors: Domke Lisa M. , Kaplan Matthew , Bingham Gary E. 
Published: March 2024

AbstractCulturally sustaining pedagogy (CSP) that builds on and sustains students' cultural and linguistic practices is important for students' academic achievement and identities. While CSP is applicable to any content area, a critical time to incorporate it is during differentiated reading groups—small‐group contexts that provide explicit code‐based and/or meaning‐making instruction using varying types of texts. This article seeks to help teachers develop a stronger understanding of CSP and how to leverage students' cultural identities and experiences within small groups. We then highlight two differentiated reading group lesson examples to illustrate how to apply the tenets of CSP, along with code‐based and meaning‐making strategies, with a second‐grade group reading Trombone Shorty and another reading Reina Ramos. Additionally, this article provides steps and resources for how to select and teach with culturally sustaining texts to promote students' identities and literacy success.