bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assimilating vegetation indices and canopy cover derived from remote sensing into the AquaCrop model for estimating rice yield
Authors: Sayadi Fatemeh Jafari , Sefidkouhi Mohammad Ali Gholami , Pirdashti Hemmatollah , Khoshravesh Mojtaba 
Published: December 2024

AbstractAccurate forecasting of rice yield using contemporary data is a paramount management tool. To achieve this objective, the AquaCrop, in conjunction with remote sensing (RS) data, was employed to predict yield in the paddy fields of SANRU. The required AquaCrop data, including ground (200 locations) and RS (Sentinel‐2, MODIS) data, were collected in two seasons, namely, 2020 and 2021. Leveraging Sentinel‐2 imagery, various vegetation indices (VIs) were computed, encompassing the normalized difference vegetation index (NDVI), rice growth vegetation index (RGVI) and soil adjusted vegetation index (SAVI). Additionally, MODIS and spatio‐temporal fusion algorithms (Spatial and Temporal Adaptive Reflectance Fusion Model [STARFM] and Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model [ESTARFM]) were used to create a regular time pattern in satellite images taken on cloudy days. The results revealed that the yields observed for 2020 and 2021, on the basis of field data, were 4450 and 4370 kg/ha, respectively. Moreover, by leveraging the AquaCrop, the forecasted yield was ascertained both with and without the assimilation of RS data. Notably, the findings underscored that the incorporation of RS data significantly enhanced the model's predictive precision, particularly in estimating yield. The model's efficacy was demonstrated by its ability to forecast the end‐of‐season yield for the years 2020 and 2021, which yielded maximum RMSEs of 400 and 470 kg/ha, respectively.
Sevoflurane Alleviates Myocardial Ischemia/Reperfusion Injury by Targeting the circ_CDR1as/miR‐671‐5p/HMGA1 Axis
Authors: Zhang Zhengnan , Yang Xi , Feng Baihe , Huang Haibin 
Published: December 2024

ABSTRACTSevoflurane (Sev) has a cardioprotective role in myocardial ischemia/reperfusion injury (MI/RI), but its mechanism has not been fully elucidated. This study aimed to investigate whether the circ_CDR1as/miR‐671‐5p/HMGA1 axis mediates the cardioprotective effect of Sev in MI/RI. Cardiomyocytes underwent hypoxia/reoxygenation (H/R) treatment was used to simulate MI/RI in vitro. H/R cardiomyocytes were then pretreated with Sev to explore the protective effect of Sev on H/R cells. The level of CDR1as/miR‐671‐5p/HMGA1 axis were detected by RT‐qPCR. The proliferation and apoptosis of cardiomyocytes were detected by CCK‐8 and flow cytometry. The levels of myocardial injury markers and inflammatory markers were detected by ELISA assay. Finally, the regulatory relationship between CDR1as and miR‐671‐5p/HMGA1 axis was verified by Dual‐luciferase reporting and RNA pull‐down assays. Sev Pretreatment can reduce the level of CDR1as and mitigate H/R‐induced damage to cardiomyocytes. This Pretreatment lowers the levels of myocardial injury markers, oxidative stress markers, and pro‐inflammatory factors in H/R‐affected cardiomyocytes. However, CDR1as overexpression inhibits Sev's protective effect on H/R cardiomyocytes. At the molecular mechanism, we found that CDR1as mediates Sev's protective effect through the CDR1as/miR‐671‐5p/HMGA1 axis. CDR1as increases HMGA1 levels by sponging miR‐671‐5p, while high HMGA1 levels diminish Sev's protective effect. Sev plays a cardioprotective role in MI/RI by inhibiting the circ_CDR1as/miR‐671‐5p/HMGA1 axis.
An Outbreak of Human Adenovirus Infection Among Children Post COVID‐19 Pandemic in Southern China
Authors: Wang Changbing , Yang Yujie , Wu Kaixuan , Wang Chenyang , Liu Wenkuan , Zhu Yuhui , Ye Lihua , Li Xiao , Zhou Rong , Zhu Bing , Tian Xingui 
Published: December 2024

ABSTRACTHuman adenovirus (HAdV) is an important pathogen causing pediatric acute respiratory illness (ARI) before COVID‐19 pandemic. Since January 2023, China has reported ARI outbreaks attributed to Mycoplasma pneumoniae and other respiratory viruses. In this study, a total of 276 737 pediatric patients with ARI were enrolled from January 2023 to April 2024. HAdV‐positive samples were identified by real‐time PCR. The monthly frequency of HAdV infection remained below 0.9% through July 2023, with a gradual rise to 1.03% in November and 2.92% in December. A significant surge was observed in the early months of 2024, with HAdV‐positive rate spiking to 10.81% (3025/27992) in January and 10.75% (1393/12954) in February. The adenovirus outbreak peaked during the third to fifth week of 2024, with the highest recorded ratio of 23.86% (131/549) on January 29, 2024. Among the 600 samples that were typed, the predominant subtypes were HAdV‐B3 (96%) and HAdV‐C1 (2.67%). Phylogenetic analysis of two HAdV‐B3 strains revealed close genomic similarity to the strain BJ20170281, which was isolated in Beijing, China, in 2017. HAdV‐B3 has triggered an outbreak in Southern China in winter, an atypical epidemic season, following the COVID‐19 pandemic. Ongoing surveillance of circulating pathogens including HAdV is necessary to prevent ARI outbreaks.
Triphenyl‐Modified Mixed‐Mode Stationary Phases With and Without Embedded Ion‐Exchange Sites for High‐Performance Liquid Chromatography
Authors: Wolter Marc , Maalouf Mirna , Janek Mateusz , Knappe Cornelius , Kramer Markus , Lämmerhofer Michael 
Published: December 2024

ABSTRACTThe present work reports on the preparation, characterization, and evaluation of a set of novel triphenyl‐modified silica‐based stationary phases without and with embedded ion‐exchange sites for mixed‐mode liquid chromatography. The three synthesized triphenyl phases differed in additionally incorporated ion‐exchange sites. In one embodiment, allyltriphenylsilane was bonded to thiol‐modified silica by thiol‐ene click reaction, leading to particles with no ion‐exchange sites. A second stationary phase was obtained by thiol‐yne click reaction of thiol silica with 2‐propinyl‐triphenylphosphonium bromide, yielding a strong anion‐exchanger (SAX). A third stationary phase was obtained from this SAX phase by the oxidation of residual thiols to sulfonic acid moieties, leading to a zwitterionic surface. All synthesized materials were subjected to elemental analysis, 13C and 29Si solid‐state cross‐polarization/magic angle spinning nuclear magnetic resonance (CP/MAS NMR) spectroscopy analysis, and pH‐dependent ζ‐potential determinations via electrophoretic light scattering. The prepared stationary phases were chromatographically evaluated under classical reversed‐phase, ion‐exchange, and hydrophilic interaction chromatography conditions and classified within a set of commercially available columns by principal component analysis of retention factors. Finally, the obtained stationary phases were applied for biomolecule separations (e.g., teicoplanin and siRNA patisiran). These LC tests proved the orthogonality of the three prepared stationary phases and indicated possible fields of application.
Narrative review of neoadjuvant therapy in patients with locally advanced colon cancer
Authors: Chuang Jen‐Pin , Chen Yen‐Chen , Wang Jaw‐Yuan 
Published: December 2024

AbstractColorectal cancer is a leading cause of cancer‐related morbidity and mortality worldwide, with more than 1.9 million new cases reported in 2020, and is associated with major survival challenges, particularly in patients with locally advanced colon cancer (LACC). LACC often involves T4 invasion or extensive nodal involvement and requires a multidisciplinary approach for management. Radical surgery followed by adjuvant chemotherapy remains the primary treatment strategy for LACC. However, achieving complete tumor resection (R0) is challenging because locally advanced colon tumors typically infiltrate adjacent organs or nodes. Advancements in LACC treatment have involved neoadjuvant chemotherapy (NACT), neoadjuvant chemoradiotherapy (NACRT), and neoadjuvant immunotherapy (NAIT). Studies such as FOxTROT and PRODIGE 22 have demonstrated that NACT, particularly with FOLFOX or CAPOX, can lead to major tumor downstaging, improved survival rates, and increased R0 resection rates. Predictive biomarkers, such as mismatch repair (MMR) status and T stage, are crucial in identifying candidates who may benefit from NACT. NACRT has demonstrated promise in enhancing tumor regression, particularly in patients with rectal cancer, underscoring its potential for use with LACC. NAIT, particularly for deficient MMR tumors, has emerged as a novel approach, with studies such as NICHE‐2 and NICHE‐3 reporting excellent pathologic responses and pathologic complete responses. Integrating these therapies can enhance the surgical and survival outcomes of patients with LACC, highlighting the importance of personalized treatment strategies based on tumor characteristics and response to neoadjuvant interventions. This review discusses the evolving landscape of LACC management, focusing on optimizing treatment approaches for improved patient outcomes.
‘As of my last knowledge update’: How is content generated by ChatGPT infiltrating scientific papers published in premier journals?
Authors: Strzelecki Artur 
Published: December 2024

AbstractThe aim of this paper is to highlight the situation whereby content generated by the large language model ChatGPT is appearing in peer‐reviewed papers in journals by recognized publishers. The paper demonstrates how to identify sections that indicate that a text fragment was generated, that is, entirely created, by ChatGPT. To prepare an illustrative compilation of papers that appear in journals indexed in the Web of Science and Scopus databases and possessing Impact Factor and CiteScore indicators, the SPAR4SLR method was used, which is mainly applied in systematic literature reviews. Three main findings are presented: in highly regarded premier journals, articles appear that bear the hallmarks of the content generated by AI large language models, whose use was not declared by the authors (1); many of these identified papers are already receiving citations from other scientific works, also placed in journals found in scientific databases (2); and, most of the identified papers belong to the disciplines of medicine and computer science, but there are also articles that belong to disciplines such as environmental science, engineering, sociology, education, economics and management (3). This paper aims to continue and add to the recently initiated discussion on the use of large language models like ChatGPT in the creation of scholarly works.
GRAPE‐WEB: An automated computational redesign web server for improving protein thermostability
Authors: Sun Jinyuan , Shi Wenyu , Xing Zhihui , Fan Guomei , Sun Qinglan , Wu Linhuan , Ma Juncai , Cui Yinglu , Wu Bian 
Published: December 2024

Impact statementWe have developed the GReedy Accumulated strategy for Protein Engineering (GRAPE) to improve enzyme stability across various applications, combining advanced computational methods with a unique clustering and greedy accumulation approach to efficiently explore epistatic effects with minimal experimental effort. To make this strategy accessible to nonexperts, we introduced GRAPE‐WEB, an automated, user‐friendly web server that allows the design, inspection, and combination of stabilizing mutations without requiring extensive bioinformatics knowledge. GRAPE‐WEB's robust performance and accessibility provide a comprehensive and adaptable approach to protein thermostability design, suitable for both newcomers and experienced practitioners in the field. The web server is accessible at https://grape.wulab.xyz.
Exponential Quasi‐Synchronization of Nonautonomous Complex Dynamical Networks With Conformable Fractional‐Order Derivatives
Authors: Bao Baizeng , Xu Liguang 
Published: December 2024

ABSTRACTThis paper studies the exponential quasi‐synchronization of nonautonomous conformable fractional‐order complex dynamical networks (NCFCDNs) via means of the periodically intermittent pinning control (PIPC). First, a nonautonomous conformable fractional‐order error systems are established, which include stable and unstable subsystems. Second, for the cases where the existing results are invalid to handle switched nonautonomous terms, a new conformable fractional‐order Halanay inequality is obtained, which serves as a powerful tool in the analysis of quasi‐synchronization of NCFCDNs. Then, by virtue of the obtained Halanay inequality, Lyapunov method, and periodically intermittent controller, sufficient conditions of exponential quasi‐synchronization of NCFCDNs are derived. Our results allow nonautonomous terms to be switched during work time and rest time, which is more relaxing than the previous results. Finally, a simulation example is included to show the feasibility of the derived results.
Seasonal Stochasticity Drives Phytoplankton–Zooplankton Dynamics
Authors: Sk Nazmul , Roy Subarna , Tiwari Pankaj Kumar 
Published: December 2024

ABSTRACTIn this study, we examine a deterministic model incorporating refuge, additional food sources, and toxins. The existence and stability of positive equilibria and the bifurcation analyses are discussed. Our numerical outcomes entail that increased zooplankton growth due to additional food leads to the disappearance of phytoplankton species, while a significant drop in nutrient levels results in zooplankton extinction within the ecosystem. Notably, the refuge by phytoplankton has a tendency to terminate the persistent oscillations and stabilize the system. As seasonal stochasticity significantly influences the dynamics of planktonic system, so we introduce seasonality into environmental noise and certain model parameters. In this case, we analyze both the regularity and the dichotomy between persistence and extinction. The numerical evidences demonstrate periodic solutions, strong/weak persistence, and plankton extinctions resulting from stochasticity and/or seasonality. Furthermore, the seasonally forced noise, intriguingly, has the capacity to exert control over hyperchaos, yielding a distinctive pattern in plankton populations.
What Factors Are Associated With Patients Being Active Partners in the Management Fibromyalgia? A Mixed Methods Systematic Review Protocol
Authors: Coggins Jessica , Ndosi Mwidimi , Pearson Jennifer 
Published: December 2024

ABSTRACTBackgroundFibromyalgia Syndrome (FMS) is characterised by widespread and persistent pain, intrusive fatigue and cognitive issues, affecting approximately 5.4% of the UK population. Non‐pharmacological therapies and education are current management recommendations, but these approaches rely on patients having an active role in their healthcare management. It is therefore important to identify the factors associated with FMS patients being active partners, as this could influence person‐centred care provision.AimThe aim of this study is to explore the factors associated with patients being an active partner in the management of FMS.MethodsThis is a protocol for mixed methods systematic literature review with convergent integrated approach in accordance with JBI methodology. The databases AMED, MEDLINE, PsychINFO and CINAHL will be searched via EBSCOhost. Screening and selection will be conducted by two reviewers. Primary qualitative, observational and experimental studies from July 2005 to July 2024 will be included. Critical appraisal of eligible studies will be conducted using appropriate JBI tools. Data will be extracted, transformed where necessary and synthesised without meta‐analysis.DiscussionThis mixed methods systematic review will provide a comprehensive understanding of the factors associated with patients being active partners, offering not only the ‘what’ but also the ‘why’ behind patients taking an active role in their healthcare. This will help guide future research and practice in supporting patients to be active partners in FMS management.Trial Registration:This systematic review has been registered with PROSPERO (registration number: CRD42024575159)
Metabolic and Bariatric Surgery Patients' Preoperative Dieting Attempts and Associations With Postoperative Outcomes
Authors: Swager LeeAnn C. , Pratt Keeley J. , Kiser Haley M. , Pona Ashleigh A. 
Published: December 2024

ABSTRACTPurposePre‐operative eating disorders are well documented within the metabolic and bariatric surgery (MBS) population, yet subthreshold dieting attempts are less understood. The objectives of this study were to define and categorize patients' preoperative dieting attempts, and to determine how attempts are associated with postoperative outcomes, eating disorders, and demographics.Materials and MethodsThree hundred twenty‐one patients (81.0% female; 68.3% White) who had MBS (57.3% Roux‐en‐Y) between 2019 and 2020 were included. Preoperative dieting attempt responses were categorized as provider‐managed, non‐medically managed, and self‐directed attempts; subtypes of dieting methods (e.g., low calorie) were described. Descriptive analyses were conducted for attempt categories and subtypes, and between attempts and readmissions, complications, eating disorders, and demographics. ANOVAs determined associations between attempts and %TWL at 6 and 12 months.ResultsPatients reported an average of five to six preoperative dieting attempts; self‐directed attempts were the most common (91.9%), and exercise was the most common subcategory (70.7%). Patients with ≥ 1 provider‐managed attempt were less likely to experience a complication (p < 0.001) and more likely to experience readmission (p = 0.018). Patients with 1 self‐directed attempt were less likely to experience a complication (p = 0.045) and readmission (p < 0.001). Patients who experienced ≥ 2 low fat diet attempts were more likely to have complications (p < 0.001) and readmissions (p = 0.008); patients with ≥ 2 VLCD attempts were more likely to have a complication (p < 0.001). Patients who experienced ≥ 2 non‐medically managed attempts had higher preoperative BMIs (p = 0.03).DiscussionGiven that patients engaged in frequent dieting attempts that fall outside formal assessments, future work should seek to expand pre‐operative assessments.
Controlled conductive networks in 3D‐printed TPU/CNTs composites for enhanced EMI shielding
Authors: You Jinju , Zhang Jing , Chen Gang , Peng Biyou , Song Jiupeng , Liu Chenchen , Xie Delong , Feng Dong 
Published: December 2024

AbstractConstructing effective conductive networks within polymer composites has proven to be a successful strategy for fabricating electromagnetic interference (EMI) shielding materials. Herein, we present a novel approach for creating high‐temperature EMI shielding materials by integrating 3D printing with compression molding. First, a thermoplastic polyurethane (TPU) framework was printed using fused deposition modeling (FDM), enabling customization of the composite's conductivity. This framework was subsequently treated with solution immersion to load carbon nanotubes (CNTs) onto the TPU surface, followed by compression molding to form TPU/CNTs composites with a segregated conductive network. The effects of coating cycles and hot‐pressing temperature on the conductive network and EMI shielding performance were systematically studied. The results revealed that hot pressing temperature significantly influences the development of the conductive network. At 130°C, a weak conductive network was formed due to spatial confinement within the TPU frame, yielding an EMI shielding effectiveness (SET) of 44 dB. However, at 190°C, a more extensive conductive network was developed as the CNTs‐rich phase overcomes spatial constrains, achieving an impressive SET of 52 dB. This high‐performance material, coupled with its simple and versatile fabrication process, holds promise for the development of advanced EMI shielding materials.Highlights
Integrating 3D printing and compression molding, segregated conductive networks was established in TPU/CNTs composites, achieving up to 52 dB X‐band EMI SE.
Hot‐pressing temperature plays a critical role in constructing effective networks.
A weak conductive network formed at 130°C due to spatial confinement, resulting in a lower SET value.
At 190°C, CNTs‐rich phase formed a robust conductive network, yielding a SET of 52 dB.
TPU/CNTs composites demonstrates excellent electrical properties with a low R of 0.22, enabling next‐gen EMI shielding for high‐performance applications.
Pilot and feasibility study of dietary composition with elexacaftor‐tezacaftor‐ivacaftor concentrations in people with cystic fibrosis
Authors: Rose Natalie R. , Bailey Julianna , Anderson Justin D. , Chalamalla Ashritha R. , Ryan Kevin J. , Acosta Edward P. , Guimbellot Jennifer S. 
Published: December 2024

AbstractBackgroundNutritional support for people with cystic fibrosis (PwCF) after the implementation of novel drug therapies is shifting from managing malnutrition through a high‐fat, high‐calorie diet to managing emerging incidences of obesity in this population. Additionally, dietary recommendations prescribed with elexacaftor/tezacaftor/ivacaftor (ETI) recommend taking this drug with a fat‐containing meal, which is variably interpreted by patients. This pilot and feasibility study was conducted to assess dietary fat intake and body composition on ETI plasma concentrations.MethodsTen participants were enrolled in a 1:1 crossover design by dietary recommendations. To mimic recommendations made during routine clinical care, participants were instructed to consume either a general healthful diet (no more than 30% calories from fat) or a high‐fat diet (>40% calories from fat) for a week before crossing over to the alternative diet.ResultsThis pilot study was acceptable to and feasible for study participants. Most participants increased fat intake calories when following a high‐fat diet. Body composition measurements showed a trending correlation between lean mass and fat‐free mass with ETI plasma concentrations. ETI compounds were quantified in plasma at 0 h (prior to the ETI morning dose) and 6 h after ingestion, and consuming a high‐fat diet did not significantly impact ETI concentrations.ConclusionsConsuming a higher‐fat diet did not significantly impact ETI plasma concentrations, and all participants were in range for clinical effectiveness of ETI regardless of fat intake. This work provides vital pilot data to design larger studies to clarify dietary composition for optimal ETI exposure for PwCF on this therapy.
Melodinines J Induces Apoptosis in Temozolomide‐Resistant Glioma Cells by Disrupting TMX1‐Dependent Homeostasis of Endoplasmic Reticulum‐Mitochondria‐Associated Membrane Contacts
Authors: Chen Fanfan , Cao Weiwei , Li Xuejuan , Chen Zebin , Ma Guoxu , Wang Sicen , Li Zongyang , Chen Lei , Li Weiping , Meng Xiangbao , Huang Guodong , Cui Ping 
Published: December 2024

ABSTRACTGlioma is recognized as one of the most lethal and aggressive brain tumors. Although the standard‐of‐care treatment for glioblastoma (GBM) involves maximal surgical resection and temozolomide (TMZ) chemotherapy, the discovery of novel anti‐tumor agents from nature sources is an effective strategy for glioma treatment. In this study, we conducted a screening process to identify the bisindole alkaloid melodinine J (MDJ) from Melodinus tenuicaudatus. We assessed its potency in overcoming TMZ resistance in patient‐derived recurrent glioma strains, TMZ‐resistant cell lines, and nude mouse tumor models of glioma cells. Our results first indicated that MDJ effectively inhibited malignancy and stimulated apoptosis in glioma. Mechanistic studies revealed that MDJ triggered deadly mitochondrial dysfunction and apoptosis by disrupting cross‐organellar communication between the endoplasmic reticulum (ER) and mitochondria‐associated membranes (MAMs). We also showed that high levels of TMX1 may promote malignancy of glioma by ER–mitochondria communications, bioenergetics efficiency, and tumor growth. Overall, our study proved that MDJ interfered the function of TMX1‐mediated MAM networks, thereby overcoming the proliferation and chemo‐resistance of glioma cells.