bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tree inventory data from permanent plots in French forest reserves
Authors: Cateau Eugénie , Debaive Nicolas , Drapier Nicolas , Chantreau Flavien , Gilg Olivier , Laroche Fabien , Morin Xavier , Demets Valentin , Pimenta Raúl , Thompson Lucie , Paillet Yoan 
Published: June 2024

AbstractWe present a data set resulting from the first round of a national monitoring program of forest reserves. It contains 9538 permanent plots, distributed across 111 study sites in mainland France (including Corsica). Notably focusing on dead wood measurement, this protocol has primarily been applied in strict forest reserves and special nature reserves (sensu Bollmann & Braunisch 2013), with 68% (6494) of the plots being currently located in strict forest reserves (unmanaged) and 24.7% (2363 plots) in forests unmanaged for at least 50 years. Sites cover a large variety of ecological conditions, from lowland to subalpine forests, but with an underrepresentation of Mediterranean forests (Table 1). The protocol assesses all the stages of a tree's life cycle, from seedling to decomposed lying dead wood. On each plot, a combination of three sampling techniques was used: (1) fixed‐area inventory for regeneration, standing dead trees, living trees, and coarse woody debris (CWD) with diameter over 30 cm; (2) transect lines for CWD with diameter <30 cm; and (3) fixed‐angle plot method for living trees with diameter at breast height (DBH) >30 cm (using a relascopic angle of 3%). Measurements include exact tree location (azimuth, distance), species, diameter(s), tree‐related microhabitats, decay stage and bark cover, and seedling cover. With ongoing climate change, the program network can also provide important information to monitor changes in forest ecosystems. It can also be used as forest management monitoring or conservation status assessment. These data are freely available for noncommercial scientific use (Creative Commons Attribution 4.0 CC BY SA 4.0) with attribution, and this paper must be cited if this material is reused.
A modified fifth‐order WENO‐Z scheme based on the weights of the reformulated adaptive order WENO scheme
Authors: Wang Yize , Zhao Kunlei , Yuan Li 
Published: June 2024

AbstractA modified fifth‐order WENO‐Z scheme is proposed by analogy with the non‐normalized weights of the reformulated fifth‐order adaptive order (AO) WENO scheme. We show that if the original fifth‐order WENO‐AO scheme is rewritten as the form of the conventional WENO combination, the resulting non‐normalized weights can be divided into three parts: a constant one term, a local stencil smoothness measure term and a global stencil smoothness measure term. In order to make use of the latter two terms for constructing a modified WENO‐Z scheme with enhanced performance, we change the form of the third term and introduce an adaptive scaling factor to adjust the contributions from the second and third terms. Numerical examples show that the modified fifth‐order WENO‐Z scheme has the advantage of high resolution in smooth regions and sharp capturing of discontinuities, and it can obtain evidently better results for shocked flows with small‐scale structures compared with the recently developed WENO‐Z+ and WENO‐Z+M schemes.
Immune responses and reinfection of SARS‐CoV‐2 Omicron variant in patients with lung cancer
Authors: Chen Chen , Zhou Xiaoyun , Gao Xiaoxing , Pan Ruili , He Qi , Guo Xiaobei , Yu Siyuan , Wang Na , Zhao Qian , Wang Mengzhao , Xu Yan , Han Xiaohong 
Published: June 2024

AbstractA significant Omicron wave emerged in China in December 2022. To explore the duration of humoral and cellular response postinfection and the efficacy of hybrid immunity in preventing Omicron reinfection in patients with lung cancer, a total of 447 patients were included in the longitudinal study after the Omicron wave from March 2023 to August 2023. Humoral responses were measured at pre‐Omicron wave, 3 months and 7 months postinfection. The detected severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) specific antibodies including total antibodies, anti‐receptor binding domain (RBD) specific IgG, and neutralizing antibodies against SARS‐CoV‐2 wild type (WT) and BA.4/5 variant. T cell responses against SARS‐CoV‐2 WT and Omicron variant were evaluated in 101 patients by ELISpot at 3 months postinfection. The results showed that Omicron‐infected symptoms were mild, while fatigue (30.2%), shortness of breath (34.0%) and persistent cough (23.6%) were long‐lasting, and vaccines showed efficacy against fever in lung cancer patients. Humoral responses were higher in full or booster vaccinated patients than those unvaccinated (p < .05 for all four antibodies), and the enhanced response persisted for at least 7 months. T cell response to Omicron was higher than WT peptides (21.3 vs. 16.0 SFUs/106 PBMCs, p = .0093). Moreover, 38 (9.74%) patients were reinfected, which had lower antibody responses than non‐reinfected patients (all p < .05), and those patients of unvaccinated at late stage receiving anti‐cancer immunotherapy alone were at high risk of reinfection. Collectively, these data demonstrate the Omicron infection induces a high and durable immune response in vaccinated patients with lung cancer, which protects vaccinated patients from reinfection.
Advances in 3D printing for polymer composites: A review
Authors: Ma Tengbo , Zhang Yali , Ruan Kunpeng , Guo Hua , He Mukun , Shi Xuetao , Guo Yongqiang , Kong Jie , Gu Junwei 
Published: June 2024

AbstractThe potential of three‐dimensional (3D) printing technology in the fabrication of advanced polymer composites is becoming increasingly evident. This review discusses the latest research developments and applications of 3D printing in polymer composites. First, it focuses on the optimization of 3D printing technology, that is, by upgrading the equipment or components or adjusting the printing parameters, to make them more adaptable to the processing characteristics of polymer composites and to improve the comprehensive performance of the products. Second, it focuses on the 3D printable novel consumables for polymer composites, which mainly include the new printing filaments, printing inks, photosensitive resins, and printing powders, introducing the unique properties of the new consumables and different ways to apply them to 3D printing. Finally, the applications of 3D printing technology in the preparation of functional polymer composites (such as thermal conductivity, electromagnetic interference shielding, biomedicine, self‐healing, and environmental responsiveness) are explored, with a focus on the distribution of the functional fillers and the influence of the topological shapes on the properties and functional characteristics of the 3D printed products. The aim of this review is to deepen the understanding of the convergence between 3D printing technology and polymer composites and to anticipate future trends and applications.image
Estimating separable matching models
Authors: Galichon Alfred , Salanié Bernard 
Published: June 2024

SummaryMost recent empirical applications of matching with transferable utility have imposed a natural restriction: that the joint surplus be separable in the sources of unobserved heterogeneity. We propose here two simple methods to estimate models in this class. The first method is a minimum distance estimator that relies on the generalized entropy of matching. The second applies to the more special but popular Choo and Siow model, which reformulates as a generalized linear model with two‐way fixed effects. Neither method requires solving for the stable matching. Both methods are easy to apply and perform very well.
Polyoxometalates for carbon dioxide activation: Current progress and perspective
Authors: Ahsan Hadia , Saeed Muhammad , Ahmad Waleed , Rehman Abdul , Haseeb Bashir Abdul , Aiman Vaneeza , Irshad Tasmia , Irtza Tuba , Zahid Usman 
Published: June 2024

AbstractThe elevated level of carbon dioxide (CO2) in the troposphere is playing a crucial role in changing the earth's climatic system. Excess CO2 concentration is trapping a substantial proportion of heat imparting adverse range of environmental effects like extreme weather events, agricultural impacts and disruption of the ecosystem. Strategies such as CO2 capturing and storage are being pursued using polyoxometalates (POMs) to mitigate the elevated level of CO2 and their efficient conversion into useful chemicals. This review outlines the importance of CO2 reduction by electrocatalytic and photocatalytic reduction of CO2. POMs have several advantages for CO2 activation because of their promising catalytic activity, high selectivity and versatility for incorporating different metal ions and ligands. The efficient redox active metal center facilitates the conversion of CO2 by providing sufficient activation energy. Their robust structure also enables them resist harsh conditions, including high temperature and acidic or basic conditions. Owing to these properties, POMs can be a catalyst, co‐catalyst, photosensitizer or multielectron donor for CO2 reduction. Finally, we stated the challenges and future insight for CO2 activation using POMs.
Kempe equivalent list colorings revisited
Authors: Chakraborty Dibyayan , Feghali Carl , Mahmoud Reem 
Published: June 2024

AbstractA Kempe chain on colors and is a component of the subgraph induced by colors and . A Kempe change is the operation of interchanging the colors of some Kempe chains. For a list‐assignment and an ‐coloring , a Kempe change is ‐valid for if performing the Kempe change yields another ‐coloring. Two ‐colorings are ‐equivalent if we can form one from the other by a sequence of ‐valid Kempe changes. A degree‐assignment is a list‐assignment such that for every . Cranston and Mahmoud asked: For which graphs and degree‐assignment of is it true that all the ‐colorings of are ‐equivalent? We prove that for every 4‐connected graph which is not complete and every degree‐assignment of , all ‐colorings of are ‐equivalent.
Synthesis and Evaluation of a Cathepsin B–Recognizing Trifunctional Chelating Agent to Improve Tumor Retention of Radioimmunoconjugates
Authors: Jinda Hiroki , Nakashima Kazuma , Watanabe Hiroyuki , Ono Masahiro 
Published: June 2024

ABSTRACTCathepsin B (CTSB) is a lysosomal protease that is overexpressed in tumor cells. Radioimmunoconjugates (RICs) composed of CTSB‐recognizing chelating agents are expected to increase the molecular weights of their radiometabolites by forming conjugates with CTSB in cells, resulting in their improved retention in tumor cells. We designed a novel CTSB‐recognizing trifunctional chelating agent, azide‐[111In]In‐DOTA‐CTSB‐substrate ([111In]In‐ADCS), to synthesize a RIC, trastuzumab‐[111In]In‐ADCS ([111In]In‐TADCS), and evaluated its utility to improve tumor retention of the RIC. [111In]In‐ADCS and [111In]In‐TADCS were synthesized with satisfactory yield and purity. [111In]In‐ADCS was markedly stable in murine plasma until 96 h postincubation. [111In]In‐ADCS showed binding to CTSB in vitro, and the conjugation was blocked by the addition of CTSB inhibitor. In the internalization assay, [111In]In‐TADCS exhibited high‐level retention in SK‐OV‐3 cells, indicating the in vitro utility of the CTSB‐recognizing unit. In the biodistribution assay, [111In]In‐TADCS showed high‐level tumor accumulation, but the retention was hardly improved. In the first attempt to combine a CTSB‐recognizing unit and RIC, these findings show the fundamental properties of the CTSB‐recognizing trifunctional chelating agent to improve tumor retention of RICs.
Trauma‐informed systems change training has transcultural, transcontinental transformative healing power: An analysis of leaders in the United States and Angola, Africa
Authors: Capuia Daniel , da Cruz Maria , Masseca Ana , Marques Engracia , Leite Paulo , Mangus Alexandra R. , Webb E. Kate , Ravichandran Caitlin , Ressler Kerry J. , Moreland‐Capuia Alisha 
Published: June 2024

AbstractThe Institute for Trauma‐Informed Systems Change (ITISC) facilitated a 2‐day, 12‐hr trauma‐informed workshop, delivered virtually, using the Training for Change curriculum. The workshop took place in Portuguese in September 2021 with a group of Angolan leaders (N = 51) and in May 2022, in English, with neonatal intensive care unit (NICU) workers from the United States (N = 73). Surveys were administered before (Time [T] 0) and after the workshop (T1) and consisted of demographic questions and the Survey for Trauma‐Informed Systems Change (STISC), which assesses system‐wide knowledge and attitudes about trauma‐informed systems change and the intersection of culture, safety, and acceptance in the workplace. At T1, 18 (35.3%) participants in the Angolan leaders’ group and 46 (63.0%) in the NICU group completed the surveys. Mean scores on the STISC Self‐Assessed Knowledge and Attitudes subscale and STISC System‐Wide Knowledge and Attitudes subscale increased significantly in both groups after the training. Effect sizes were large for self‐assessed knowledge and attitudes, Angolan leaders: d = 1.11, NICU: d = 1.97, and small‐to‐medium for system‐wide knowledge and attitudes, Angolan leaders: d = 0.52, NICU: d = 0.38. Limitations include the relatively small sample size and low participation rates for survey responses. Future research should examine the efficacy of the curriculum in larger samples that include individuals from diverse professions and additional countries. Together, the findings provide initial support that this training can be directly translated and implemented on a global scale.
Climate‐influenced phenology of larval fish transport in a large lake
Authors: Gardner Spencer T. , Rowe Mark D. , Xue Pengfei , Zhou Xing , Alsip Peter J. , Bunnell David B. , Collingsworth Paris D. , Rutherford Edward S. , Höök Tomas O. 
Published: June 2024

AbstractElucidating physical transport phenologies in large lakes can aid understanding of larval recruitment dynamics. Here, we integrate a series of climate, hydrodynamic, biogeochemical, and Lagrangian particle dispersion models to: (1) simulate hatch and transport of fish larvae throughout an illustrative large lake, (2) evaluate patterns of historic and potential future climate‐induced larval transport, and (3) consider consequences for overlap with suitable temperatures and prey. Simulations demonstrate that relative offshore transport increases seasonally, with shifts toward offshore transport occurring earlier during relatively warm historic and future simulations. Intra‐ and inter‐annual trends in transport were robust to assumed pelagic larval duration and precise location and timing of hatching. Larvae retained nearshore generally encountered more favorable temperatures and zooplankton densities compared to larvae transported offshore. Larval exploitation of nearshore resources under climate change may depend on a concomitant shift to earlier spawning and hatch times in advance of earlier offshore transport.
A Simple Generic Model of Elastin–Like Polypeptides with Proline Isomerization
Authors: Zhao Yani , Cortes–Huerto Robinson , Mukherji Debashish 
Published: June 2024

AbstractA generic model of elastin–like polypeptides (ELP) is derived that includes proline isomerization (ProI). As a case study, conformational transition of a –[valine–proline–glycine–valine–glycine]– sequence is investigated in aqueous ethanol mixtures. While the non–bonded interactions are based on the Lennard–Jones (LJ) parameters, the effect of ProI is incorporated by tuning the intramolecular 3– and 4–body interactions known from the underlying all–atom simulations into the generic model. One of the key advantages of such a minimalistic model is that it readily decouples the effects of geometry and the monomer–solvent interactions due to the presence of ProI, thus gives a clearer microscopic picture that is otherwise rather nontrivial within the all–atom setups. These results are consistent with the available all–atom and experimental data. The model derived here may pave the way to investigate large scale self–assembly of ELPs or biomimetic polymers in general.
On the potential of using ensemble learning algorithm to approach the partitioning coefficient (k) value in Scheil–Gulliver equation
Authors: Li Ziyu , Tan He , Jarfors Anders E. W. , Steggo Jacob , Lattanzi Lucia , Jansson Per 
Published: June 2024

AbstractThe Scheil–Gulliver equation is essential for assessing solid fractions during alloy solidification in materials science. Despite the prevalent use of the Calculation of Phase Diagrams (CALPHAD) method, its computational intensity and time are limiting the simulation efficiency. Recently, Artificial Intelligence has emerged as a potent tool in materials science, offering robust and reliable predictive modeling capabilities. This study introduces an ensemble‐based method that has the potential to enhance the prediction of the partitioning coefficient (k) in the Scheil equation by inputting various alloy compositions. The findings demonstrate that this approach can predict the temperature and solid fraction at the eutectic temperature with an accuracy exceeding 90%, while the accuracy for k prediction surpasses 70%. Additionally, a case study on a commercial alloy revealed that the model's predictions are within a 5°C deviation from experimental results, and the predicted solid fraction at the eutectic temperature is within a 15% difference of the values obtained from the CALPHAD model.
The anodic dissolution kinetics of Mg alloys in water based on ab initio molecular dynamics simulations
Authors: Yan Jieqiong , Xu Xinchen , Shi Gaoning , Wang Yaowei , Guan Chaohong , Chen Yuyang , Yang Yao , Ying Tao , Zhu Hong , Tang Qingli , Zeng Xiaoqin 
Published: June 2024

AbstractThe corrosion susceptibility of magnesium (Mg) alloys presents a significant challenge for their broad application. Although there have been extensive experimental and theoretical investigations, the corrosion mechanisms of Mg alloys are still unclear, especially the anodic dissolution process. Here, a thorough theoretical investigation based on ab initio molecular dynamics and metadynamics simulations has been conducted to clarify the underlying corrosion mechanism of Mg anode and propose effective strategies for enhancing corrosion resistance. Through comprehensive analyses of interfacial structures and equilibrium potentials for Mg(0001)/H2O interface models with different water thicknesses, the Mg(0001)/72 H2O model is identified to be reasonable with −2.17 V vs. standard hydrogen electrode equilibrium potential. In addition, utilizing metadynamics, the free energy barrier for Mg dissolution is calculated to be 0.835 eV, enabling the theoretical determination of anodic polarization curves for pure Mg that aligns well with experimental data. Based on the Mg(0001)/72 H2O model, we further explore the effects of various alloying elements on anodic corrosion resistance, among which Al and Mn alloying elements are found to enhance corrosion resistance of Mg. This study provides valuable atomic‐scale insights into the corrosion mechanism of magnesium alloys, offering theoretical guidance for developing novel corrosion‐resistant Mg alloys.
BIOMX‐DB: A web application for the BIOFACQUIM natural product database
Authors: Martínez‐Urrutia Fernando , Medina‐Franco José L. 
Published: June 2024

AbstractNatural product databases are an integral part of chemoinformatics and computer‐aided drug design. Despite their pivotal role, a distinct scarcity of projects in Latin America, particularly in Mexico, provides accessible tools of this nature. Herein, we introduce BIOMX‐DB, an open and freely accessible web‐based database designed to address this gap. BIOMX‐DB enhances the features of the existing Mexican natural product database, BIOFACQUIM, by incorporating advanced search, filtering, and download capabilities. The user‐friendly interface of BIOMX‐DB aims to provide an intuitive experience for researchers. For seamless access, BIOMX‐DB is freely available at www.biomx‐db.com
Nurses under fire: Insights from testimonies of community nurses and midwives in nonhospital settings in the southern Israel conflict zone
Authors: Segev Ronen , Videl Hila , Spitz Ahuva 
Published: June 2024

AbstractNurses—with or without prehospital care training—may find themselves delivering immediate care to injured individuals outside a healthcare facility, sometimes even in situations where their own life is at risk. This study explores the experiences of community nurses and midwives who provided immediate care during the Hamas militant movement's attack in southern Israel. The researchers collected and analyzed eight nurse and midwife survivors' testimonies published in digital media to gain a deeper understanding of their perspectives. Through qualitative content analysis, common themes, patterns, and insights were identified. The study aimed to contribute valuable knowledge in this field and followed the Consolidated Criteria for Reporting Qualitative Research (COREQ) checklist for methodological rigor. Two themes emerged from the testimonies, focusing on the nurses' swift realization of necessary action under fire and resilience and ingenuity in practice. Despite lacking training and resources, the nurses professionally assessed the situation and improvised creative solutions to care for the wounded. Although they had no prehospital emergency care background, community nurses and midwives were able to respond effectively, providing lifesaving care. The findings highlight the nurses' resilience, adaptability, and dedication in unprecedented situations. However, the study also emphasizes the importance of providing all nurses with baseline prehospital care training and structured planning of this care to empower them to deliver optimal patient care in uncertain and dangerous conditions, especially in and around conflict and disaster zones.