bluuebunny/crossref_metadata_2025_split huggingface dataset:
High Voltage Electrolyte Design Mediated by Advanced Solvation Chemistry Toward High Energy Density and Fast Charging Lithium‐Ion Batteries
Authors: Cheng Haoran , Ma Zheng , Kumar Pushpendra , Liang Honghong , Cao Zhen , Xie Hongliang , Cavallo Luigi , Kim Hun , Li Qian , Sun Yang‐Kook , Ming Jun 
Published: February 2024

AbstractElectrolyte is critical for transporting lithium‐ion (Li+) in lithium‐ion batteries (LIBs). However, there is no universally applicable principle for designing an optimal electrolyte. In most cases, the design process relies on empirical experiences and is often treated as highly confidential proprietary information. Herein, a solvation structure‐related model for the quantitative design of electrolytes is introduced, focusing on the principles of coordination chemistry. As a paradigmatic example, a high‐voltage electrolyte (i.e., 4.5 V vs anode) aimed at achieving a high energy density and fast charging LIB, which is specifically composed of an emerging, well‐constructed hybrid hard carbon‐silicon/carbon‐based anode, and lithium cobalt oxide cathode, is developed. Not only the functions of each electrolyte component at the molecular scale within the Li+ solvation structure are analyzed but also an interfacial model is introduced to elucidate their relationship with the battery performance. This study represents a pioneering effort in developing a methodology to guide electrolyte design, in which the mutual effects of the Li+ de‐solvation process and solid electrolyte interface (SEI) on the electrode surface are explored concurrently to understand the root cause of superior performance. This innovative approach establishes a new paradigm in electrolyte design, providing valuable insights at the molecular level.
Response of seeding rate and cultivar maturity with planting dates in canola
Authors: Nafi Eeusha , Torrion Jessica A. 
Published: February 2024

AbstractUnderstanding whether increasing seeding rate in canola (Brassica napus) provides a yield‐compensatory mechanism with delayed planting due to weather or logistical issues is important. We aim to refine agronomic recommendations for canola production under short‐season growing conditions to establish an optimal planting date and identify any interaction of spring canola cultivar and seeding rate with planting date. We conducted this study in 2014, 2015, and 2016 in Creston, MT, as split–split plot with planting dates, cultivar maturities, and seeding rates as mainplot, subplot, and sub‐subplot, respectively. Except 2016, 0.06 Mg day−1 yield reduction with delayed planting was observed in 2014 and likely in 2015. In 2016, daytime temperatures rose early in May, facilitating the early cessation of node production on the mainstem and, therefore, exposure to high temperatures at flower of the mid‐April planted canola. Generally, the mid‐April planted canola showed more nodes on the mainstem at the bolting stage. The low seeding rate increased pod number (p < 0.0001) as yield‐compensatory mechanism. The late‐maturing cultivar only showed yield advantage when planted in mid‐April, seeded at low seeding rate, or planted during a hot and dry year. In this study, the optimal planting date for canola in this region or similar short‐season growing condition is mid‐April, and the probability of yield loss increases when planting is delayed. The optimal seeding rate of this study is 86 live seeds m−2 regardless of planting date. Overall, a high seeding rate as a management strategy to compensate for yield loss with delayed planting is not recommended.
Unmanned aerial vehicle imagery prediction of sorghum leaf area index under water stress, seeding density, and nitrogen fertilization conditions in the Sahel
Authors: Dembele Joseph Sékou B. , Gano Boubacar , Mbaye Modou , Doumbia Mohamed , Dembele Léonce Lamine , Kouressy Mamoutou , Teme Niaba , Vaksman Michel , Diouf Diaga , Audebert Alain 
Published: February 2024

AbstractSahelian Africa must meet the challenge of providing enough food to meet its growing population. Therefore, novel breeding and intensive production methods are needed to mitigate this challenge. The objective of this study was to calibrate and validate sorghum varieties leaf area index (LAI) values estimated from Unmanned Aerial Vehicle (UAV) at different growing seasons in Senegal and Mali. To achieve this objective, four experiments were conducted with 14 sorghum (sorghum bicolor) varieties between 2017 and 2019. At the study sites, LAI was measured and crop reflectance was measured with a multispectral camera mounted on a UAV. The study showed that normalized difference vegetation index (NDVI) and simple ratio (SR) were highly correlated to the area index. The results of validation model revealed a better prediction of measured LAI from NDVI (R2 = 0.92) and SR (R2 = 0.89) vegetation indices in 2019 dry season in Senegal. In addition, the LAI predictions for Mali from NDVI (p < 0.01) and SR (p < 0.01) were highly correlated. Findings showed that vegetation indices can be used to estimate LAI in Mali and Sahel.
Edge effects and social behavior in three platyrrhines
Authors: Bolt Laura M. , Owens Jenna L. , Grant Madison Taylor , Coggeshall Elizabeth M. C. , Russell Dorian G. , Merrigan‐Johnson Carrie , Jacobson Zachary S. , Schmidt Zachary T. , Kaser Francesca V. E. , Schreier Amy L. 
Published: February 2024

AbstractSocial behavior is a key adaptation for group‐living primates. It is important to assess changes to social behavior in human‐impacted landscape zones to better understand the impact of anthropogenic disturbance on primate species. We investigated social behavior rate and type in three species of platyrrhines across 100 m anthropogenic edge and interior zones of a fragmented forest in Costa Rica, La Suerte Biological Research Station (LSBRS). Following results from other sites, we predicted that spider monkeys (Ateles geoffroyi), capuchin monkeys (Cebus imitator) and howler monkeys (Alouatta palliata) would show lower rates and fewer types of social behavior in forest edge compared to interior. We collected 1341 h of instantaneous focal data from 2017 to 2023 across the three monkey species. We found mixed support for our predictions, with spider and capuchin monkeys modifying some but not all aspects of social behavior across forest zones at LSBRS. Spider monkeys had lower rates of social behavior and capuchin monkeys performed different types of social behaviors in forest edge compared to interior at LSBRS. In contrast, howler monkeys did not modify social behavior. Two out of three platyrrhine species altered their social behavior when in anthropogenic edges, indicating behavioral adjustment when in human‐altered habitat areas at LSBRS.
Effects of coal gangue on the ash initial deformation temperature and gasification characteristic of biomass
Authors: Fan Hongli , Li Fenghai , Guo Mingxi , Han Guopeng , Guo Qianqian , Xu Meiling 
Published: February 2024

AbstractThe effects of coal gangue (CG) on the ash initial deformation temperature (IDT) and CO2 gasification characteristic of biomass (chestnut shell [CS] and soybean straw [SS]) were investigated by ash fusion tester and thermogravimetric analyzer, respectively. The IDTs of CS and SS ashes were low because of the presence of abundant low melting point (MP) airchildite (K2Ca(CO3)2) and arcanite (K2SO4), and they were efficiently improved by the CG additions of 2%–10% mass ratios. The increases in the IDTs of CS and SS ashes were resulted from the conversions of fairchildite and arcanite into high MP K‐Al silicates (kalsilite [KAlSiO4], leucite [KAlSi2O6], etc.). The gasification reactivities of CS/CG mixtures stayed below that of CS, and they decreased with increasing CG mass ratios (4%–10%) and increased with increasing temperatures (900–1000°C). At 900°C, CG addition caused a decrease in the gasification reactivity of SS. When the temperature reached 950°C, the CG addition of 4% mass ratio increased the gasification reactivity of SS instead. The synergistic effect between biomass and CG during cogasification was more significant at low CG mass ratio and high temperature, and the synergistic effect between SS and CG was more intense than that between CS and CG.
A systematic review of the patient reported outcomes that affect patients with muscle invasive bladder cancer after radical cystectomy and urinary diversion
Authors: Lahoud John , Patel Manish I. , Naher Sayeda , Mercieca‐Bebber Rebecca 
Published: February 2024

AbstractObjectivesTo determine the functional domains and symptom scales that affect patients most following radical cystectomy (RC) and urinary diversion (UD), and if a single instrument (or combination) adequately captures these bothersome symptoms. It is unclear whether current patient reported outcome (PRO) instruments that have been used to assess quality of life in patients following RC and UD adequately cover the most bothersome symptoms affecting patients.Materials and methodsA systematic search of MEDLINE, EMBASE, PubMed, Cinahl and Cochrane was conducted from January 2000 to May 2023 for original articles of patients who had RC and UD since 2000 for muscle invasive bladder cancer. The Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) process was followed. Extracted data included the PRO measures used, domains reported and scores in the first 12 months post‐surgery (short‐term) and after 12 months (long‐term). A conservative threshold of <70 for functional domains and >30 for symptom domains was used to determine which PRO domains were potentially concerning to patients in each study. Quality assessment was performed using the QUALSYST appraisal tool.ResultsThirty‐five studies met the inclusion criteria, including a total of eight unique PRO instruments. The main findings indicated that physical function was the most concerning PRO for patients with both neobladder (NB) and ileal conduit (IC) in the short and long term. Additionally, bowel, urinary and sexual bother were concerning symptoms for patients with NB in the long‐term, but only in the short‐term for those with IC.ConclusionsThe main issues are adequately addressed using the combination of EORTC QLQ‐C30 and QLQ‐BLM30 instruments.
The long rod‐shaped Sr2MgSi2O7:Eu2+,Dy3+ with ultrahigh afterglow performance
Authors: Hai Ou , Qin Bin , Xiao Xin Nan , Ren Qiang , Wu Xiu Lan , Pei Meng Kang , Li Jian 
Published: February 2024

AbstractThe afterglow properties of long afterglow luminescent materials are greatly affected by their defects, which are distributed on the grain surface. Increasing the exposed surface area is an important method to improve the afterglow performance. In this research, long rod‐shaped long afterglow materials Sr2MgSi2O7:Eu2+,Dy3+ were prepared using the hydrothermal‐coprecipitation method. When the reaction time reached 96 h, the length of the afterglow materials could grow to 2 mm, and the sintering temperature was just 1150°C. The emission spectra of all obtained samples upon excitation at 397 nm had a maximum of 465 nm, which belonged to the representative transition of Eu2+. The initial brightness was 1.35 cd/m2. The afterglow time could reach 19 h, giving a good afterglow performance. The research on this kind of material has essential significance in the exploration of luminescence mechanisms and their applications.
Screening of low‐toxic zinc oxide nanomaterials and study the apoptosis mechanism of NSC‐34 cells
Authors: Li Yuanyuan , Lu Yan , Li Jingjing , Li Mei , Gou Huitian , Sun Xiaolin , Xu Xiaoli , Song Beibei , Li Zhiyu , Ma Yonghua 
Published: February 2024

AbstractWith the increasing application of ZnO nanomaterials (ZnO‐NMts) in the biomedical field, it is crucial to assess their potential risks to humans and the environment. Therefore, this study aimed to screen for ZnO‐NMts with low toxicity and establish safe exposure limits, and investigate their mechanisms of action. The study synthesized 0D ZnO nanoparticles (ZnO NPs) and 3D ZnO nanoflowers (ZnO Nfs) with different morphologies using a hydrothermal approach for comparative research. The ZnO‐NMts were characterized using X‐ray diffraction (XRD), scanning electron microscopy (SEM), and transmission electron microscopy (TEM). Mouse brain neuronal cells (NSC‐34) were incubated with ZnO NMts for 6, 12, and 24 h, and the cell morphology was observed using TEM. The toxic effects of ZnO Nfs on NSC‐34 cells were studied using CCK‐8 cell viability detection, reactive oxygen species (ROS) measurement, caspase‐3 activity detection, Annexin V‐FITC/PI apoptosis assay, and mitochondrial membrane potential (Δφm) measurement. The results of the research showed that ZnO‐NMts caused cytoplasmic vacuolization and nuclear pyknosis. After incubating cells with 12.5 µg mL−1 ZnO‐NMts for 12 h, ZnO NRfs exhibited the least toxicity and ROS levels. Additionally, there was a significant increase in caspase‐3 activity, depolarization of mitochondrial membrane potential (Δφm), and the highest rate of early apoptosis.This study successfully identified ZnO NRfs with the lowest toxicity and determined the safe exposure limit to be < 12.5 µg mL−1 (12 h). These findings will contribute to the clinical use of ZnO NRfs with low toxicity and provide a foundation for further research on their potential applications in brain disease treatment.
Integrating network pharmacology and renal metabonomics to reveal the protective mechanism of resveratrol on gouty nephropathy
Authors: Xu Xiaomin , Yu Donghua , Wang Yu , Xu Peng , Jiang Xin , Lu Fang , Liu Shumin 
Published: February 2024

AbstractResveratrol (Res) has been demonstrated to have beneficial effects on gouty nephropathy (GN). However, the mechanisms of Res on GN remain unclear. This study aimed to investigate the mechanisms of Res on GN. In this study, network pharmacology technology was used to predict the Res targets in the prevention and treatment of GN. Renal metabonomics was used to identify differential metabolites in kidney tissue of GN model rats. Finally, molecular docking technology was used to verify the binding ability of Res to key targets. Metabonomics analysis showed that 24 potentially important metabolites were involved in the prevention and treatment of GN with Res. After exposure to Res, metabolite levels normalized. The network pharmacology analysis showed that 24 key targets were involved in the prevention and treatment of GN disease. According to the metabolite–gene network diagram, we identified two core genes, PTGS1 and PTGS2, and found that both were involved in the arachidonic acid metabolism pathway. Molecular docking further verified the affinity of Res binding to PTGS1 and PTGS2. In conclusion, the mechanism of Res against GN may be the regulation of arachidonic acid metabolism through the regulation of PTGS 1 and PTGS 2.
Screening of polysaccharides from the differently processed products of Angelica sinensis with the best liver protection effect on chicken and the intervention mechanism study based on tandem mass tag proteomics and multiple reaction monitoring approach
Authors: Li Chen‐chen , Ji Peng , He Jian , Peng You‐sheng , Wu Fan‐lin , Hua Yong‐li , Yao Wan‐ling , Yuan Zi‐wen , Wei Yan‐ming 
Published: February 2024

AbstractThe incidence of colibacillosis in poultry is on the rise, significantly affecting the chicken industry. Ceftiofur sodium (CS) is frequently employed to treat this disease, resulting in lipopolysaccharide (LPS) buildup. Processing plays a vital role in traditional Chinese veterinary medicine. The potential intervention in liver injury by polysaccharides from the differently processed products of Angelica sinensis (PDPPAS) induced by combined CS and LPS remains unclear. This study aims to investigate the protective effect of PDPPAS on chicken liver injury caused by CS combined with LPS buildup and further identify the polysaccharides with the highest hepatoprotective activity in chickens. Furthermore, the study elucidates polysaccharides’ intervention mechanism using tandem mass tag (TMT) proteomics and multiple reaction monitoring (MRM) methods. A total of 190 1‐day‐old layer chickens were randomly assigned into 12 groups, of which 14 chickens were in the control group and 16 in other groups, for a 10‐day trial. The screening results showed that charred A. sinensis polysaccharide (CASP) had the most effective and the best hepatoprotective effect at 48 h. TMT proteomics and MRM validation results demonstrated that the intervention mechanism of the CASP high‐dose (CASPH) intervention group was closely related to the protein expressions of FCER2, TBXAS1, CD34, AGXT, GCAT, COX7A2L, and CYP2AC1. Conclusively, the intervention mechanism of CASPH had multitarget, multicenter regulatory features.
Isolation and Bioactivity Evaluation of Sesquiterpenes from an Alcyonarian of the Genus Lemnalia from the Saudi Arabian Red Sea
Authors: Koutsaviti Aikaterini , Kvasnicová Marie , Gonzalez Gabriel , Štenclová Tereza , Agusti Susana , Duarte Carlos M. , Rarová Lucie , Strnad Miroslav , Roussis Vassilios , Ioannou Efstathia 
Published: February 2024

AbstractOver the last decades, soft corals have been proven a rich source of biologically active compounds, featuring a wide range of chemical structures. Herein, we investigated the chemistry of an alcyonarian of the genus Lemnalia (Neptheidae), specimens of which were collected from the coral reefs near Al Lith, on the south‐west coast of Saudi Arabia. A series of chromatographic separations led to the isolation of 31 sesquiterpenes, featuring mainly the nardosinane and neolemnane carbon skeletons, among which three (13, 14 and 28) are new natural products. The metabolites isolated in sufficient amounts were evaluated in vitro in human tumor and non‐cancerous cell lines for a number of biological activities, including their cytotoxic, anti‐inflammatory, anti‐angiogenic, and neuroprotective activities, as well as for their effect on androgen receptor (AR)‐regulated transcription. Among the tested metabolites, compound 12 showed comparable neuroprotective activity to the positive control N‐acetylcysteine, albeit at a 10‐fold lower concentration.
Predicting the risk of mortality and rehospitalization in heart failure patients: A retrospective cohort study by machine learning approach
Authors: Ketabi Marzieh , Andishgar Aref , Fereidouni Zhila , Sani Maryam Mojarrad , Abdollahi Ashkan , Vali Mohebat , Alkamel Abdulhakim , Tabrizi Reza 
Published: February 2024

AbstractBackgroundHeart failure (HF) is a global problem, affecting more than 26 million people worldwide. This study evaluated the performance of 10 machine learning (ML) algorithms and chose the best algorithm to predict mortality and readmission of HF patients by using The Fasa Registry on Systolic HF (FaRSH) database.HypothesisML algorithms may better identify patients at increased risk of HF readmission or death with demographic and clinical data.MethodsThrough comprehensive evaluation, the best‐performing model was used for prediction. Finally, all the trained models were applied to the test data, which included 20% of the total data. For the final evaluation and comparison of the models, five metrics were used: accuracy, F1‐score, sensitivity, specificity and Area Under Curve (AUC).ResultsTen ML algorithms were evaluated. The CatBoost (CAT) algorithm uses a series of decision tree models to create a nonlinear model, and this CAT algorithm performed the best of the 10 models studied. According to the three final outcomes from this study, which involved 2488 participants, 366 (14.7%) of the patients were readmitted to the hospital, 97 (3.9%) of the patients died within 1 month of the follow‐up, and 342 (13.7%) of the patients died within 1 year of the follow‐up. The most significant variables to predict the events were length of stay in the hospital, hemoglobin level, and family history of MI.ConclusionsThe ML‐based risk stratification tool was able to assess the risk of 5‐year all‐cause mortality and readmission in patients with HF. ML could provide an explicit explanation of individualized risk prediction and give physicians an intuitive understanding of the influence of critical features in the model.
The incidence and impact of atrial fibrillation on hospitalized Coronavirus disease‐2019 patients
Authors: Niu Haiming , Li Jianwei , Teng Catherine , Lu Xiaojia , Jin Chengyue , Cai Peng , Shi Ao , Shen Xiaoqing , Chen Qiqi , Chen Miaolian , Yuan Yong , Li Pengyang 
Published: February 2024

AbstractBackgroundSince 2019, Coronavirus disease‐2019 (COVID‐19) has raised unprecedented global health crisis. The incidence and impact of atrial fibrillation (AF) on patients with COVID‐19 remain unclearly defined.MethodsWe conducted a retrospective cohort study using ICD‐10 codes to identify patients with a primary diagnosis of COVID‐19 with or without AF in National Inpatient Sample Database 2020. We compared the outcome of COVID‐19 patients with a concurrent diagnosis of AF with those without.HypothesisAF will adversely affect the prognosis of hospitalized COVID‐19 patients.ResultsA total of 211 619 patients with a primary diagnosis of COVID‐19 were identified. Among these patients, 31 923 (15.08%) had a secondary diagnosis of AF. Before propensity score matching, COVID‐AF cohort was older (75.8 vs. 62.2‐year‐old, p < .001) and had more men (57.5% vs. 52.0%, p < .001). It is associated with more comorbidities, mainly including diabetes mellitus (43.7% vs. 39.9%, p < .001), hyperlipidemia (54.6% vs. 39.8%, p < .001), chronic kidney disease (34.5% vs. 17.0%, p < .001), coronary artery disease (35.3% vs. 14.4%, p < .001), anemia (27.8% vs. 18.6%, p < .001), and cancer (4.8% vs. 3.4%, p < .001). After performing propensity score match, a total of 31 862 patients were matched within each group. COVID‐AF cohort had higher inpatient mortality (22.2% vs. 15.3%, p < .001) and more complications, mainly including cardiac arrest (3.9% vs. 2.3%, p < .001), cardiogenic shock (0.9% vs. 0.3%, p < .001), hemorrhagic stroke (0.4% vs. 0.3%, p = .025), and ischemic stroke (1.3% vs. 0.7%, p < .001). COVID‐AF cohort was more costly, with a longer length of stay, and a higher total charge.ConclusionAF is common in patients hospitalized for COVID‐19, and is associated with poorer in‐hospital mortality, immediate complications and increased healthcare resource utilization.
An association between heart rate variability and incident heart failure in an elderly cohort
Authors: Ostrowska Bozena , Lind Lars , Blomström‐Lundqvist Carina 
Published: February 2024

AbstractBackgroundEarly identification of individuals at risk of developing heart failure (HF) may improve poor prognosis. A dominant sympathetic activity is common in HF and associated with worse outcomes; however, less is known about the autonomic balance before HF.HypothesisA low frequency/high frequency (L‐F/H‐F) ratio, index of heart rate variability, and marker of the autonomic balance predict the development of HF and may improve the performance of the HF prediction model when added to traditional cardiovascular (CV) risk factors.MethodsIndividuals in the PIVUS (Prospective Investigation of the Vasculature in Uppsala Seniors) study (n = 1016, all aged 70 years) were included. Exclusion criteria were prevalent HF, electrocardiographic QRS duration ≥130 millisecond, major arrhythmias, or conduction blocks at baseline. The association between the L‐F/H‐F ratio and incident HF was assessed using Cox proportional hazard analysis. The C‐statistic evaluated whether adding the L‐F/H‐F‐ratio to traditional CV risk factors improved the discrimination of incident HF.ResultsHF developed in 107/836 study participants during 15 years of follow‐up. A nonlinear, inverse association between the L‐F/H‐F ratio and incident HF was mainly driven by an L‐F/H‐F ratio of <30. The association curve was flat for higher values (hazard ratio, HR for the total curve = 0.78 [95% confidence interval, CI: 0.69−0.88, p < .001]; HR = 2 for L‐F/H‐F ratio = 10). The traditional prediction model improved by 3.3% (p < .03) when the L‐F/H‐F ratio was added.ConclusionsAn L‐F/H‐F ratio of <30 was related to incident HF and improved HF prediction when added to traditional CV risk factors.