bluuebunny/crossref_metadata_2025_split huggingface dataset:
In Situ Constructing Metal–Organic Complex Interface Layer Using Biomolecule Enabling Stabilize Zn Anode
Authors: Yuan Zaifang , Zhan Kaiyuan , Li Di , Pu Yujuan , Zhang Youkui , Zeng Xuzhong , Luo Xiaoyu , Zhang Yunhuai , Li Xueming , Wei Zidong 
Published: March 2024

AbstractAqueous zinc‐ion batteries (ZIBs) are considered as a promising candidate for next‐generation large‐scale energy storage due to their high safety, low cost, and eco‐friendliness. Unfortunately, commercialization of ZIBs is severely hindered owing to rampant dendrite growth and detrimental side reactions on the Zn anode. Herein, inspired by the metal–organic complex interphase strategy, the authors apply adenosine triphosphate (ATP) to in situ construct a multifunctional film on the metal Zn surface (marked as ATP@Zn) by a facile etching method. The ATP‐induced interfacial layer enhances lipophilicity, promoting uniform Zn2+ flux and further homogenizing Zn deposition. Meanwhile, the functional interlayer improves the anticorrosion ability of the Zn anode, effectively suppressing corrosion and hydrogen evolution. Consequently, the as‐prepared ATP@Zn anode in the symmetric cell exhibits eminent plating/stripping reversibility for over 2800 h at 5.0 mA cm−2 and 1 mAh cm−2. Furthermore, the assembled ATP@Zn||MnO2 full cells are investigated to evaluate practical feasibilities. This work provides an efficient and simple strategy to prepare stabilized Zn anode toward high‐performance ZIBs.
Microwave‐assisted deep eutectic solvent extraction of five lignans from Schisandra chinensis
Authors: Chen Boyu , Liu Shengkai , Zhi Hongxin , Huang Jin , Song Han , Fan Jiashen , Fu Yujie , Liu Zhiguo 
Published: March 2024

AbstractGreen extraction of the active lignans from Schisandra chinensis has received considerable attention due to their promising applications in the biomedical field. In this study, microwave‐assisted deep eutectic solvent method was used to simultaneously extract five lignans: Schizandrol A, Schizandrol B, Schisantherin A, Schisandrin A and Schizandrin B. The extraction parameters were optimized according to the calculated comprehensive score obtained from the analytic hierarchy process combined with the entropy weight method. The optimal extraction conditions were that the molar ratio of choline chloride and glycolic acid is 4:1, water content is 30% (V/V), solid–liquid ratio is 1:20 (Wg:VmL), extraction time is 20 min, and extraction temperature is 70°C, under which the extraction rate of the five lignans were 10.89, 8.616, 4.019, 4.893, and 5.318 mg/g. These results confirmed that our extraction method is efficient and feasible for green extraction of lignans from S. chinensis.
Higher risk of traumatic intracranial hemorrhage with antiplatelet therapy compared to oral anticoagulation—a single-center experience
Authors: Niklasson Emily , Svensson Elin , André Lars , Areskoug Christian , Forberg Jakob Lundager , Vedin Tomas 
Published: March 2024

Abstract
Purpose
Traumatic brain injury is the main reason for the emergency department visit of up to 3% of the patients and a major worldwide cause for morbidity and mortality. Current emergency management guidelines recommend close attention to patients taking oral anticoagulation but not patients on antiplatelet therapy. Recent studies have begun to challenge this. The aim of this study was to determine the impact of antiplatelet therapy and oral anticoagulation on traumatic intracranial hemorrhage.

Methods
Medical records of adult patients triaged with “head injury” as the main reason for emergency care were retrospectively reviewed from January 1, 2017, to December 31, 2017, and January 1, 2020, to December 31, 2021. Patients ≥ 18 years with head trauma were included. Odds ratio was calculated, and multiple logistic regression was performed.

Results
A total of 4850 patients with a median age of 70 years were included. Traumatic intracranial hemorrhage was found in 6.2% of the patients. The risk ratio for traumatic intracranial hemorrhage in patients on antiplatelet therapy was 2.25 (p < 0.001, 95% confidence interval 1.73–2.94) and 1.38 (p = 0.002, 95% confidence interval 1.05–1.84) in patients on oral anticoagulation compared to patients without mediations that affect coagulation. In binary multiple regression, antiplatelet therapy was associated with intracranial hemorrhage, but oral anticoagulation was not.

Conclusion
This study shows that antiplatelet therapy is associated with a higher risk of traumatic intracranial hemorrhage compared to oral anticoagulation. Antiplatelet therapy should be given equal or greater consideration in the guidelines compared to anticoagulation therapy. Further studies on antiplatelet subtypes within the context of head trauma are recommended to improve the guidelines’ diagnostic accuracy.
A fast simulation method for thermal management in wire arc additive manufacturing repair of a thin-walled structure
Authors: Qvale Paul , Njaastad Eirik B. , Bræin Torgeir , Ren Xiaobo 
Published: March 2024

AbstractEnsuring first-time-right on-site repair of critical structures is a key challenge for additive manufacturing (AM)–based repair solutions. Fast thermal simulations are thus needed to plan efficient and error-free AM processes. This paper addresses a fast thermal simulation method for a novel subsea wire arc additive manufacturing (SWAAM) repair procedure. Current commercial finite element (FE) codes for typical welding and AM are computationally expensive and slow. The presented 2D finite difference approach can be used to simulate SWAAM on a damaged plate with around 70 times acceleration compared to real welding times, without the use of parallelization. Although not being able to accurately represent the temperature in close vicinity of the welding torch, the approach shows excellent correspondence with FE simulations and experiments in regions of the plate where the temperature has assumed a distribution that is largely two-dimensional. Compared with FE simulations, the approach is experimentally verified to be accurate to 10 °C within 7 s after the welding torch has passed a point on the plate. Thus, the approach can provide a measure of the global temperature field in a thin-walled structure during repair. The thermal simulation is preceded by a welding path planner, which generates appropriate paths based on slicing of a 3D surface scan of the damage that is to be repaired. Damages to equipment or non-ideal welding conditions are prevented by automatically pausing the welding if the calculated temperature in the path ahead of the welding torch exceeds a predefined interpass temperature limit.
Facilitating Effects of Reductive Soil Disinfestation on Soil Health and Physiological Properties of Panax ginseng
Authors: Zhan Yu , Wang Ergang , Zhou Yi , He Guixiang , Lv Pengyuan , Wang Lixiang , Zhou Tingting , Miao Xinyue , Chen Changbao , Li Qiong 
Published: March 2024

AbstractChemical soil fumigation (CSF) and reductive soil disinfestation (RSD) have been proven to be effective agricultural strategies to improve soil quality, restructure microbial communities, and promote plant growth in soil degradation remediation. However, it is still unclear how RSD and CSF ensure soil and plant health by altering fungal communities. Field experiments were conducted to investigate the effects of CSF with chloropicrin, and RSD with animal feces on soil properties, fungal communities and functional composition, and plant physiological characteristics were evaluated. Results showed that RSD and CSF treatment improved soil properties, restructured fungal community composition and structure, enhanced fungal interactions and functions, and facilitated plant growth. There was a significant increase in OM, AN, and AP contents in the soil with both CSF and RSD treatments compared to CK. Meanwhile, compared with CK and CSF, RSD treatment significantly increased biocontrol Chaetomium relative abundance while reducing pathogenic Neonectria relative abundance, indicating that RSD has strong inhibition potential. Furthermore, the microbial network of RSD treatment was more complex and interconnected, and the functions of plant pathogens, and animal pathogen were decreased. Importantly, RSD treatment significantly increased plant SOD, CAT, POD activity, SP, Ca, Zn content, and decreased MDA, ABA, Mg, K, and Fe content. In summary, RSD treatment is more effective than CSF treatment, by stimulating the proliferation of probiotic communities to further enhance soil health and plant disease resistance.
Systematische Simulationsstudie zur verformungsmechanischen Stützwirkung an Wellen aus Stahl
Authors: Ulrich Carsten , Härtel Hans , Schlecht Berthold 
Published: March 2024

ZusammenfassungIn dieser Veröffentlichung wird die verformungsmechanische Stützwirkung auf Basis einer Simulationsstudie untersucht, wobei der Fokus auf der klassischen Dauerfestigkeitsbewertung von Wellen und Achsen aus Stahl liegt. Aufbauend auf einem kurzen Überblick zu Kerbnäherungsverfahren und deren Übertragung auf die verformungsmechanische Stützwirkung in Dauerfestigkeitsnachweisen, wird eine elastisch-plastische FEM-Serienrechnung mit 22.100 Fällen vorgestellt. Im Vergleich mit der simulativ ermittelten Beanspruchung im elastisch-plastisch wechselnd verformten Kerbgrund werden derzeit übliche Berechnungsverfahren für die verformungsmechanische Stützwirkung untersucht. Wie sich zeigt, können teils deutliche Festigkeitsreserven für Auslegungsberechnungen erschlossen werden, wenn der Effekt für gekerbte Wellen besser abgeschätzt wird. Bei sehr mild gekerbten Wellen sowie insbesondere unter Zug-Druck verhält es sich dagegen umgekehrt. Hier wird die verformungsmechanische Stützwirkung durch derzeit übliche Verfahren überschätzt, also auf der unsicheren Seite ausgelegt. Als pragmatische Lösung für das Problem wird eine neue Methode vorgeschlagen, welche dem Anwender unter Einbeziehen von Kerbschärfe, Last und dem Werkstoff eine genauere Berücksichtigung des Effektes bei der Auslegung ermöglicht. Durch Nutzung des bei Wellen typischerweise eindeutigen Nennquerschnittes (Außen- und Innendurchmesser) konnte die Nutzung der Traglastformzahl vermieden werden. Das Verfahren erfordert daher keine zusätzlichen Simulationen, ist nahezu ohne zusätzlichen Aufwand einsetzbar und somit auch hervorragend für nennspannungsbasierte Konzepte nutzbar. Alle ausgewerteten Ergebnisse sowie Detailinformationen zu allen Modellen werden dem Leser zur Verfügung gestellt. Die Autoren laden herzlich ein, die Ergebnisse kritisch zu prüfen und/oder für eigene Analysen weiterzuverwenden.
Primary vs. pre-emptive anti-seizure medication prophylaxis in anti-CD19 CAR T-cell therapy
Authors: Pensato Umberto , Pondrelli Federica , de Philippis Chiara , Asioli Gian Maria , Crespi Alessandra , Buizza Alessandro , Mannina Daniele , Casadei Beatrice , Maffini Enrico , Straffi Laura , Marcheselli Simona , Zinzani Pier Luigi , Bonifazi Francesca , Guarino Maria , Bramanti Stefania 
Published: March 2024

Abstract
Introduction
Seizures may occur in up to 30% of non-Hodgkin lymphoma patients who received anti-CD19 CAR T-cell therapy, yet the optimal anti-seizure medication (ASM) prevention strategy has not been thoroughly investigated.

Methods
Consecutive patients affected by refractory non-Hodgkin lymphoma who received anti-CD19 CAR T-cells were included. Patients were selected and assessed using similar internal protocols. ASM was started either as a primary prophylaxis (PP-group) before CAR T-cells infusion or as a pre-emptive therapy (PET-group) only upon the onset of neurotoxicity development.

Results
One hundred fifty-six patients were included (PP-group = 88, PET-group = 66). Overall, neurotoxicity and severe neurotoxicity occurred in 45 (29%) and 20 (13%) patients, respectively, equally distributed between the two groups. Five patients experienced epileptic events (PET-group = 3 [4%]; PP-group = 2 [2%]). For all the PET-group patients, seizure/status epilepticus occurred in the absence of overt CAR-T-related neurotoxicity, whereas patients in the PP-group experienced brief seizures only in the context of critical neurotoxicity with progressive severe encephalopathy. ASMs were well-tolerated by all patients, even without titration. No patients developed epilepsy or required long-term ASMs.

Conclusion
Our data suggest that both primary and pre-emptive anti-seizure prophylaxis are safe and effective in anti-CD19 CAR T-cell recipients. Clinical rationale suggests a possible more favourable profile of primary prophylaxis, yet no definitive conclusion of superiority between the two ASM strategies can be drawn from our study.
Multivariate risk attitude: a comparison of alternative approaches in sustainability policies
Authors: Beccacece Francesca 
Published: March 2024

AbstractRisk aversion has an unambiguous meaning in the univariate context: But, what does it mean to be risk averse in the multivariate case? Concave Risk Aversion (CRA) and Multivariate Risk Aversion (MRA) are relevant extensions of the risk aversion concept used in the univariate case to the multivariate case, corresponding to concave and ultramodular utility classes, respectively. Although CRA and MRA can coexist, they are dramatically different in some ways, leading to opposite preferences under some circumstances, as in the face of irreversible risks. We introduce the notions of purely concave and purely multivariate risk aversion, related to disjoint utility classes. We apply the purely risk aversion notions to the field of sustainability, where catastrophic and irreversible outcomes can be faced, in order to highlight and compare the consequences of the two approaches on sustainability policies. In this respect, we provide three main results. First, the kind of risk aversion determines the pursued goal. Second, the principle of “rejecting any fair bet” is not always preserved. Third, sustainability policies induced by different risk aversions, if repeated, produce final states in which mean-variance criterion holds.
Mathematical programming-based methodology for the evaluation of supply chain collaborative planning scenarios
Authors: Pérez-Perales D. , Boza A. , Alarcón F. , Gómez-Gasquet P. 
Published: March 2024

AbstractNowadays, supply chain (SC) decentralised decision making is the most usual situation in SC operations planning. In this context, different companies can collaboratively plan to achieve a certain level of individual and SC performance. However in many cases, there is reluctance to collaborate because it is not known a priori which benefits will be reported. This paper aims to develop a mathematical programming-based methodology for the evaluation of different supply chain collaborative planning scenarios (MPM-SC-CP). It is assumed that different SC decision centres (DCs) make decisions based on mixed and integer linear programming models. Two main inputs feed the proposed MPM-SC-CP, a framework and associated methodology that support the integrated conceptual and analytical modeling of the SC-CP process in which several DCs make decisions according to spatio-temporal integration. Finally, an application to a real ceramic SC was conducted.
Rhythm and Reading: Connecting the Training of Musical Rhythm to the Development of Literacy Skills
Authors: Ahokas J. Riikka , Saarikallio Suvi , Welch Graham , Parviainen Tiina , Louhivuori Jukka 
Published: March 2024

AbstractThis study investigated whether enhanced rhythm training improves literacy development and working memory performance in pupils in the first and second year of school. According to recent literature, we hypothesized that rhythm-focused training could be effective for children with reading difficulties. Pupils aged 6 to 8 years participated in the study, implemented as part of regular school music lessons. Children were divided into an experimental group that received enhanced rhythm training and a control group that received an equivalent amount of music instruction but without enhanced rhythm training. The intervention was delivered once a week for three months (13 lessons in total). The test battery included pre- and post-measures (0 and 3 months, respectively) with literacy and working memory assessment, and follow-ups (8 and 20 months) with literacy assessment. There was no statistically significant difference between the groups in literacy skills after training. However, there was a moderate improvement in working memory performance for the experimental, but not the comparison group. In a post hoc analysis, we found an effect in a subgroup of lower starting-level readers, as the increase in literacy development of these students was statistically significant in the experimental, but not in the comparison group.
Climate-smart agricultural practices for enhanced farm productivity, income, resilience, and greenhouse gas mitigation: a comprehensive review
Authors: Zheng Hongyun , Ma Wanglin , He Quan 
Published: March 2024

AbstractThis study reviews the literature published between 2013 and 2023 to comprehensively understand the consequences of adopting climate-smart agricultural (CSA) practices. We categorize the literature into three categories based on the scopes of climate-smart agriculture: (a) sustainably increase agricultural productivity and incomes; (b) adapt and build the resilience of people and agrifood systems to climate change; and (c) reduce or where possible, avoid greenhouse gas emissions. The review demonstrates that adopting CSA practices, in many instances, improves farm productivity and incomes. This increase manifests in increasing crop yields and productivity, income and profitability, and technical and resource use efficiency. Moreover, adopting CSA practices reinforces the resilience of farmers and agrifood systems by promoting food consumption, dietary diversity, and food security and mitigating production risks and vulnerabilities. Adopting CSA practices is environmentally feasible as it reduces greenhouse gas emissions and improves soil quality. An integrative strategy encompassing diverse CSA practices portends an optimized avenue to chart a trajectory towards agrifood systems fortified against climatic change.
PARamrfinder: detecting allele-specific DNA methylation on multicore clusters
Authors: Fernández-Fraga Alejandro , González-Domínguez Jorge , Martín María J. 
Published: March 2024

AbstractThe discovery of Allele-Specific Methylation (ASM) is an important research field in biology as it regulates genomic imprinting, which has been identified as the cause of some genetic diseases. Nevertheless, the high computational cost of the bioinformatic tools developed for this purpose prevents their application to large-scale datasets. Hence, much faster tools are required to further progress in this research field. In this work we presentPARamrfinder, a parallel tool that applies a statistical model to identify ASM in data from high-throughput short-read bisulfite sequencing. It is based on the state-of-the-art sequential toolamrfinder, which is able to detect ASM at regional level from Bisulfite Sequencing (BS-Seq) experiments in the absence of Single Nucleotide Polymorphism information.PARamrfinderprovides the same Allelically Methylated Regions asamrfinderbut at significantly reduced runtime thanks to exploiting the compute capabilities of common multicore CPU clusters and MPI RMA operations to attain an efficient dynamic workload balance. As an example, our tool is up to 567 times faster for real data experiments on a cluster with 8 nodes, each one containing two 16-core processors. The source code of PARamrfinder, as well as a reference manual, is available athttps://github.com/UDC-GAC/PARamrfinder.
Toxicological responses of A549 and HCE-T cells exposed to fine particulate matter at the air–liquid interface
Authors: Chen Wankang , Ge Pengxiang , Deng Minjun , Liu Xiaoming , Lu Zhenyu , Yan Zhansheng , Chen Mindong , Wang Junfeng 
Published: March 2024

AbstractFine particulate matter (PM2.5) can enter the human body in various ways and have adverse effects on human health. Human lungs and eyes are exposed to the air for a long time and are the first to be exposed to PM2.5. The “liquid immersion exposure method” has some limitations that prevent it from fully reflecting the toxic effects of particulate matter on the human body. In this study, the collected PM2.5 samples were chemically analyzed. An air–liquid interface (ALI) model with a high correlation to the in vivo environment was established based on human lung epithelial cells (A549) and immortalized human corneal epithelial cells (HCE-T). The VITROCELL Cloud 12 system was used to distribute PM2.5 on the cells evenly. After exposure for 6 h and 24 h, cell viability, apoptosis rate, reactive oxygen species (ROS) level, expression of inflammatory factors, and deoxyribonucleic acid (DNA) damage were measured. The results demonstrated significant dose- and time-dependent effects of PM2.5 on cell viability, cell apoptosis, ROS generation, and DNA damage at the ALI, while the inflammatory factors showed dose-dependent effects only. It should be noted that even short exposure to low doses of PM2.5 can cause cell DNA double-strand breaks and increased expression of γ-H2AX, indicating significant genotoxicity of PM2.5. Increased abundance of ROS in cells plays a crucial role in the cytotoxicity induced by PM2.5 exposure These findings emphasize the significant cellular damage and genotoxicity that may result from short-term exposure to low levels of PM2.5.
New analytical wave structures of the $$(3+1)$$-dimensional extended modified Ito equation of seventh-order
Authors: Şenol Mehmet , Gençyiğit Mehmet , Demirbilek Ulviye , Akinyemi Lanre , Rezazadeh Hadi 
Published: March 2024

AbstractPartial differential equations are frequently employed to depict issues arising across various scientific and engineering domains. Efforts have been made to analytically solve these equations, revealing shortcomings in some widely utilized methods, including modeling deficiencies and intricate solution processes. To address these limitations, diverse analytical methods have been explored. The Ito equation, introduced in 1980, underwent development, leading to the formulation of a fifth-order Ito equation. A seventh-order integrable $$(3+1)$$

(
3
+
1
)

-dimensional extended modified Ito equation emerged by augmenting this equation with three additional terms. In this study, novel exact solutions for the equation, absent in existing literature, were derived using the extended hyperbolic function and modified Kudryashov methods. To scrutinize the dynamic behavior of these findings, we presented 3D, contour, and 2D visualizations of select solutions. The results showcase numerous new solutions, underscoring the reliability and efficacy of the employed methods.