bluuebunny/crossref_metadata_2025_split huggingface dataset:
Carbon Stocks and Recent Rates of Carbon Sequestration in Nutrient‐Rich Freshwater Wetlands From Lake Simcoe Watershed (Southern Canada)
Authors: Pendea I. F. , Kanavillil N. , Kurissery S. , Chmura G. L. 
Published: September 2023

AbstractWe examined soil properties and accumulation rates over the last ca. 100 years in four swamps and four marshes in southern Canada where these wetlands are common but under increasing anthropogenic pressure. One 50‐cm long core was collected from each wetland and analyzed to determine bulk density (BD) and organic matter (OM). Lead‐210 and cesium‐137 dating were used to estimate sediment accumulation rates. In the datable portion of each core, we determined the organic carbon (Corg), nitrogen (N), Corg/OM, Corg/N, Corg density, Corg stocks, and Corg accumulation rates. All parameters but one—Corg accumulation rates—were significantly different in swamps compared to marshes and between seasonally wet soils and those regularly flooded. Since 1950, Corg stocks varied from 6 to 13.6 kg m−2 with ≈23% more Corg in swamps than in marshes. When hydrology and deeper soils where considered, Corg stocks in regularly flooded wetlands were 60% higher than those of seasonally wet systems, emphasizing the role of hydrology in building up C stocks long‐term. Our measurements are within the wide range reported for similar systems in North America. The average rate of Corg accumulation in the studied wetlands (112 ± 87 g m−2 yr−1) is ≈50% higher than that of oligotrophic/ombrotrophic peatlands, but ≈47% lower than in tidal marshes from eastern Canada. Our study lends support to the case for wetland restoration through re‐wetting as an important nature‐based climate solution for mitigation of GHG emissions in areas where they were drained for agriculture and other purposes.
Discharge‐Mediated Temperature Management in a Large, Regulated River, With Implications for Management of Endangered Fish
Authors: Michel C. J. , Daniels M. E. , Danner E. M. 
Published: September 2023

AbstractFor large, regulated rivers, operators can impact abiotic conditions for the benefit of the ecosystem, primarily by controlling the volume of discharge from upstream reservoirs. Understanding the decision space around discharge is necessary for evaluating tradeoffs between environmental and other objectives. As a result of climate change, warming water temperatures are increasingly becoming a concern for thermally‐sensitive fauna. In California's largest river, the Sacramento, extinction risk of salmon populations is linked to high water temperatures. Yet, little is known about how much water temperature in lower reaches can be affected by reservoir discharge operations, and the potential benefits to salmon. We used a process‐based water temperature model to estimate the ability of reservoir discharge to mediate river temperature heating processes impacting downstream locations (discharge‐mediated temperature management). To bound this analysis, we used historical forcings over a recent 29‐year span. Results indicate reservoir discharge increases of up to 340 cms over the historical record could have decreased water temperature in the lower reaches by up to 3.6°C. Salmon require water below 20°C during most stages of their lifecycle, and we found that normative water operations could ensure 20°C was rarely exceeded for two potential management seasons, in late‐spring and early‐fall. These periods coincide with important rearing and migratory periods for salmon, during which they frequently experience excessive temperatures under the management status‐quo. This analysis provides stakeholders tools to manage conditions for native fauna in the face of a warming climate, and a framework for developing similar tools in other large, regulated rivers.
Impact of genetic patterns on sorafenib efficacy in patients with FLT3-ITD acute myeloid leukemia undergoing allogeneic hematopoietic stem cell transplantation: a multi-center, cohort study
Authors: Shao Ruoyang , Zhang Yu , He Jinping , Huang Fen , Fan Zhiping , Yang Kaibo , Xu Yajing , Xu Na , Luo Yi , Deng Lan , Zhang Xi , Chen Jia , Han Mingzhe , Li Xudong , Yu Sijian , Liu Hui , Liang Xinquan , Luo Xiaodan , Shi Pengcheng , Wang Zhixiang , Jiang Ling , Zhou Xuan , Lin Ren , Chen Yan , Tu Sanfang , Sun Jing , Wang Yu , Liu Qifa , Xuan Li 
Published: September 2023

AbstractSorafenib therapy improves overall survival (OS) in patients with FLT3 internal tandem duplication (ITD) acute myeloid leukemia (AML) undergoing allogeneic hematopoietic stem cell transplantation. We explored the efficacy of sorafenib therapy in this population with different concomitant genetic patterns. In this multi-center, cohort study, we enrolled patients with FLT3-ITD AML undergoing allogenic hematopoietic cell transplantation. Patients with sorafenib maintenance post-transplantation for at least four weeks were allocated to the sorafenib group, and otherwise to the control group. Endpoints were OS, disease-free survival, and relapse for the whole cohort and OS for genetic pattern subgroups. Among 613 patients enrolled, 275 were in the sorafenib and 338 the control group. Median follow-up was 36.5 (interquartile range (IQR), 25.2–44.7) months post-transplantation. The 3-year OS post-transplantation was 79.6% (95% confidential interval (CI) 74.8%–84.6%) and 65.2% (95% CI 60.3%–70.6%) (Hazard ratio (HR) 0.50, 95% CI 0.37–0.69; P < 0.0001) in both groups. Sorafenib maintenance post-transplantation improved OS in the favorable (HR 0.33, 95% CI 0.14–0.77; P = 0.011) and adverse (HR 0.56, 95% CI 0.33–0.93; P = 0.026) ELN 2017 risk subgroups. Patients with mutated NPM1, DNMT3A, co-occurring NPM1/DNMT3A, “activated signaling” and “DNA methylation” genes benefited in OS from sorafenib maintenance, while those carrying CEBPA, “tumor suppressors” and “myeloid transcription factors” genes did not. Patients with FLT3-ITDhigh and FLT3-ITDlow AML both benefited in OS from sorafenib maintenance. Our results identify the response of genetic patterns to sorafenib maintenance, providing new viewpoints for the optimal use of sorafenib in FLT3-ITD AML in the transplantation setting.
Broadly neutralizing antibodies derived from the earliest COVID-19 convalescents protect mice from SARS-CoV-2 variants challenge
Authors: Liu Qianyun , Zhao Haiyan , Li Zhiqiang , Zhang Zhen , Huang Rui , Gu Mengxue , Zhuang Ke , Xiong Qing , Chen Xianying , Yu Weiyi , Qian Shengnan , Zhang Yuzhen , Tan Xue , Zhang Muyi , Yu Feiyang , Guo Ming , Huang Zhixiang , Wang Xin , Xiang Wenjie , Wu Bihao , Mei Fanghua , Cai Kun , Zhou Limin , Zhou Li , Wu Ying , Yan Huan , Cao Sheng , Lan Ke , Chen Yu 
Published: September 2023

AbstractCoronavirus disease 2019 (COVID-19) was first reported three years ago, when a group of individuals were infected with the original SARS-CoV-2 strain, based on which vaccines were developed. Here, we develop six human monoclonal antibodies (mAbs) from two elite convalescents in Wuhan and show that these mAbs recognize diverse epitopes on the receptor binding domain (RBD) and can inhibit the infection of SARS-CoV-2 original strain and variants of concern (VOCs) to varying degrees, including Omicron strains XBB and XBB.1.5. Of these mAbs, the two most broadly and potently neutralizing mAbs (7B3 and 14B1) exhibit prophylactic activity against SARS-CoV-2 WT infection and therapeutic effects against SARS-CoV-2 Delta variant challenge in K18-hACE2 KI mice. Furthermore, post-exposure treatment with 7B3 protects mice from lethal Omicron variants infection. Cryo-EM analysis of the spike trimer complexed with 14B1 or 7B3 reveals that these two mAbs bind partially overlapped epitopes onto the RBD of the spike, and sterically disrupt the binding of human angiotensin-converting enzyme 2 (hACE2) to RBD. Our results suggest that mAbs with broadly neutralizing activity against different SARS-CoV-2 variants are present in COVID-19 convalescents infected by the ancestral SARS-CoV-2 strain, indicating that people can benefit from former infections or vaccines despite the extensive immune escape of SARS-CoV-2.
Local BMP2 hydrogel therapy for robust bone regeneration in a porcine model of Legg-Calvé-Perthes disease
Authors: Ma Chi , Park Min Sung , Alves do Monte Felipe , Gokani Vishal , Aruwajoye Olumide O. , Ren Yinshi , Liu Xiaohua , Kim Harry K. W. 
Published: September 2023

AbstractLegg-Calvé-Perthes disease is juvenile idiopathic osteonecrosis of the femoral head (ONFH) that has no effective clinical treatment. Previously, local injection of bone morphogenetic protein-2 (BMP2) for ONFH treatment showed a heterogeneous bone repair and a high incidence of heterotopic ossification (HO) due to the BMP2 leakage. Here, we developed a BMP2-hydrogel treatment via a transphyseal bone wash and subsequential injection of BMP2-loaded hydrogel. In vitro studies showed that a hydrogel of gelatin-heparin-tyramine retained the BMP2 for four weeks. The injection of the hydrogel can efficiently prevent leakage. With the bone wash, the injected hydrogel had a broad distribution in the head. In vivo studies on pigs revealed that the BMP2-hydrogel treatment produced a homogeneous bone regeneration without HO. It preserved the subchondral contour and restored the subchondral endochondral ossification, although it increased growth plate fusions. In summary, the study demonstrated a promising BMP2-hydrogel treatment for ONFH treatment, especially for teenagers.
Warming up cool cooperators
Authors: Ferguson Eamonn , Lawrence Claire , Bowen Sarah , Gemelli Carley N. , Rozsa Amy , Niekrasz Konrad , van Dongen Anne , Williams Lisa A. , Thijsen Amanda , Guerin Nicola , Masser Barbara , Davison Tanya E. 
Published: September 2023

AbstractExplaining why someone repeats high-cost cooperation towards non-reciprocating strangers is difficult. Warm glow offers an explanation. We argue that warm glow, as a mechanism to sustain long-term cooperation, cools off over time but can be warmed up with a simple intervention message. We tested our predictions in the context of repeat voluntary blood donation (high-cost helping of a non-reciprocating stranger) across 6 studies: a field-based experiment (n = 5,821) comparing warm-glow and impure-altruism messages; an implementation study comparing a 3-yr pre-implementation period among all first-time donors in Australia (N = 270,353) with a 2-yr post-implementation period (N = 170, 317); and 4 studies (n = 716, 1,124, 932, 1,592) exploring mechanisms. We show that there are relatively warm and cool cooperators, not cooling cooperators. Cooperation among cool cooperators is enhanced by a warm-glow-plus-identity message. Furthermore, the behavioural facilitation of future cooperation, by booking an appointment, is associated with being a warm cooperator. Societal implications are discussed.
Mismatch repair deficiency is not sufficient to elicit tumor immunogenicity
Authors: Westcott Peter M. K. , Muyas Francesc , Hauck Haley , Smith Olivia C. , Sacks Nathan J. , Ely Zackery A. , Jaeger Alex M. , Rideout William M. , Zhang Daniel , Bhutkar Arjun , Beytagh Mary C. , Canner David A. , Jaramillo Grissel C. , Bronson Roderick T. , Naranjo Santiago , Jin Abbey , Patten J. J. , Cruz Amanda M. , Shanahan Sean-Luc , Cortes-Ciriano Isidro , Jacks Tyler 
Published: September 2023

AbstractDNA mismatch repair deficiency (MMRd) is associated with a high tumor mutational burden (TMB) and sensitivity to immune checkpoint blockade (ICB) therapy. Nevertheless, most MMRd tumors do not durably respond to ICB and critical questions remain about immunosurveillance and TMB in these tumors. In the present study, we developed autochthonous mouse models of MMRd lung and colon cancer. Surprisingly, these models did not display increased T cell infiltration or ICB response, which we showed to be the result of substantial intratumor heterogeneity of mutations. Furthermore, we found that immunosurveillance shapes the clonal architecture but not the overall burden of neoantigens, and T cell responses against subclonal neoantigens are blunted. Finally, we showed that clonal, but not subclonal, neoantigen burden predicts ICB response in clinical trials of MMRd gastric and colorectal cancer. These results provide important context for understanding immune evasion in cancers with a high TMB and have major implications for therapies aimed at increasing TMB.
A genome-wide in vivo CRISPR screen identifies essential regulators of T cell migration to the CNS in a multiple sclerosis model
Authors: Kendirli Arek , de la Rosa Clara , Lämmle Katrin F. , Eglseer Klara , Bauer Isabel J. , Kavaka Vladyslav , Winklmeier Stephan , Zhuo La , Wichmann Christian , Gerdes Lisa Ann , Kümpfel Tania , Dornmair Klaus , Beltrán Eduardo , Kerschensteiner Martin , Kawakami Naoto 
Published: September 2023

AbstractMultiple sclerosis (MS) involves the infiltration of autoreactive T cells into the CNS, yet we lack a comprehensive understanding of the signaling pathways that regulate this process. Here, we conducted a genome-wide in vivo CRISPR screen in a rat MS model and identified 5 essential brakes and 18 essential facilitators of T cell migration to the CNS. While the transcription factor ETS1 limits entry to the CNS by controlling T cell responsiveness, three functional modules, centered around the adhesion molecule α4-integrin, the chemokine receptor CXCR3 and the GRK2 kinase, are required for CNS migration of autoreactive CD4+ T cells. Single-cell analysis of T cells from individuals with MS confirmed that the expression of these essential regulators correlates with the propensity of CD4+ T cells to reach the CNS. Our data thus reveal key regulators of the fundamental step in the induction of MS lesions.
Shear modulus reduction and damping ratios curves joined with engineering geological units in Italy
Authors: Gaudiosi Iolanda , Romagnoli Gino , Albarello Dario , Fortunato Carolina , Imprescia Paola , Stigliano Francesco , Moscatelli Massimiliano 
Published: September 2023

AbstractNumerical simulations of seismic site response require the characterization of the nonlinear behaviour of shallow subsoil. When extensive evaluations are of concern, as in the case of seismic microzonation studies, funding problems prevent from the systematic use of laboratory tests to provide detailed evaluations. For this purpose, 485 shear modulus reduction, G\G0(γ) and damping ratio, D(γ) curves were collected from multiple literature sources available in Italy. Each curve was associated with the related engineering geological units considered in seismic microzonation studies. A statistical analysis of the data was carried out with the aim of shedding light on the significant difference between the laboratory classification of samples and the macroscopic/engineering geological one, provided during seismic microzonation studies. Since the engineering geological classification plays a prominent role in extensive site response evaluations, the outcomes of the present work may be of help at least when preliminary seismic response estimates are of concern. The dataset provides reference information that can serve as key data for large-scale hazard assessments worldwide.
A dataset on African bats’ functional traits
Authors: Cosentino Francesca , Castiello Giorgia , Maiorano Luigi 
Published: September 2023

AbstractTrait-based approaches are becoming extremely common in ecological modeling and the availability of traits databases is increasing. However, data availability is often biased towards particular regions and taxa, with many taxa (e.g., bats) often under-represented. Here, we present the AfroBaT dataset, a compilation of trait data on 320 African bat species containing 76,914 values for 86 traits focusing on morphology, reproduction, life-history, trophic ecology, and species distributions. All data were gathered from published literature following the ecological trait-data standard procedure. Missing data for both numerical and categorical traits were imputed with a machine learning approach including species phylogeny. Trophic ecology traits showed the highest coverage in the literature (72% of the species averaged over all traits), while reproductive traits the lowest. Our data imputation improved the coverage of AfroBaT especially for reproductive traits, going from 27% to 58% of the species covered. AfroBaT has a range of potential applications in macroecology and community ecology, and the availability of open-access data on African bats will enable collaboration and data-sharing among researchers.
Application of problem based learning (PBL) and case based learning (CBL) in the teaching of international classification of diseases encoding
Authors: Yang Wanjun , Li Hui , Su Aonan , Ding Liping 
Published: September 2023

AbstractTo study the application of PBL combined with CBL teaching mode in the teaching of international classification of diseases (ICD) encoding, so as to improve students' grasp of ICD encoding knowledge. From March 2020 to June 2020, 50 students majoring in health information management who were interns in a Grade A general hospital were selected as the research participants and randomly divided into experimental group and control group, 25 in each group. The experimental group and the control group adopted the PBL combined CBL teaching mode and the traditional teaching mode respectively to carry out the classification and coding teaching. The academic achievement of the two groups of students was evaluated by means of achievement assessment and questionnaire survey based on information processing theory. The scores of theoretical knowledge in the experimental group and the control group were 79.78 ± 8.55 and 70.92 ± 10.81, respectively, and the scores of skill operation in the two groups were 79.76 ± 8.28 and 70.00 ± 10.41, respectively. The test scores of the experimental group were higher than those of the control group, and the difference was statistically significant (P < 0.05). The scores of knowledge acquisition ability of experimental group and control group were 16.72 ± 1.79 and 16.60 ± 2.36, the scores of knowledge sharing ability were 24.20 ± 2.61 and 21.00 ± 2.65, the scores of knowledge storage ability were 20.80 ± 2.47 and 17.24 ± 4.90, respectively. The scores of knowledge application ability were 14.00 ± 1.80 and 11.00 ± 2.69, the scores of knowledge innovation ability were 20.16 ± 2.34 and 18.08 ± 3.70, and the total scores were 95.88 ± 6.08 and 83.92 ± 11.30, respectively. The scores of all questionnaires in the experimental group were higher than those in the control group. The scores of knowledge sharing ability, knowledge storage ability, knowledge application ability, knowledge innovation ability and total score between the two groups were higher than those of the control group, and the differences were statistically significant (P < 0.05). PBL combined with CBL teaching model has good academic achievement in ICD encoding teaching, which can significantly improve academic performance and learning ability, and is worthy of promotion.
Estimating of gases emission from waste sites to generate electrical energy as a case study at Al-Hillah City in Iraq
Authors: Chabuk Ali , Jahad Udai A. , Majdi Ali , Majdi Hasan S. H. , Isam Mubeen , Al-Ansari Nadhir , Laue Jan 
Published: September 2023

AbstractMethane (CH4) is a greenhouse gas resulting from human activities, especially landfills, and it has many potential environmental issues, such as its major role in global warming. On the other hand, methane can be converted to liquid fuel or electricity using chemical conversion or gas turbine generators. Therefore, reusing such gases could be of great environmental and economic benefit. In this context, this study aims to estimate the emissions of methane gas from the landfills in Al-Hillah City, Iraq, from 2023 to 2070 and the producible electric energy from this amount. The estimating process was carried out using the Land GEM model and compared with traditional models. The obtained results demonstrated that the total estimated landfill methane emissions for 48 years are 875,217 tons, and the average annual methane emission is 18,234 tons based on a yearly waste accumulation rate of 1,046,413 tons and a total waste amount of 50,227,808 tons. The anticipated loads of methane gas can be utilized to generate about 287,442 MW/year of electricity from 2023 to 2070. In conclusion, the results obtained from this study could be evidence of the potential environmental and economic benefits of harvesting and reusing methane gas from landfills.
Enhanced machine learning—ensemble method for estimation of oil formation volume factor at reservoir conditions
Authors: Kharazi Esfahani Parsa , Peiro Ahmady Langeroudy Kiana , Khorsand Movaghar Mohammad Reza 
Published: September 2023

AbstractSince the oil formation volume factor (Bo) is crucial for various calculations in petroleum engineering, such as estimating original oil in place, fluid flow in the porous reservoir medium, and production from wells, this parameter is predicted using conventional methods including experimental tests, correlations, Equations of State, and artificial intelligence models. As a substitute to conventional black oil methods, the compositional oil method has been recently used for accurately predicting the oil formation volume factor. Although oil composition is essential for estimating this parameter, it is time-consuming and cost-intensive to obtain through laboratory analysis. Therefore, the input parameter of dissolved gas in oil has been used as a representative of the amount of light components in oil, which is an effective factor in determining oil volume changes, along with other parameters, including pressure, API gravity, and reservoir temperature. This study created machine learning models utilizing Gradient Boosting Decision Tree (GBDT) techniques, which also incorporated Extreme Gradient Boosting (XGBoost), GradientBoosting, and CatBoost. A comparison of the results with recent correlations and machine learning methods adopting a compositional approach by implementing tree-based bagging methods: Extra Trees (ETs), Random Forest (RF), and Decision Trees (DTs), is then performed. Statistical and graphical indicators demonstrate that the XGBoost model outperforms the other models in estimating the Bo parameter across the reservoir pressure region (above and below bubble point pressure); the new method has significantly improved the accuracy of the compositional method, as the average absolute relative deviation is now only 0.2598%, which is four times lower than the previous (compositional approach) error rate. The findings of this study can be used for precise prediction of the volumetric properties of hydrocarbon reservoir fluids without the need for conducting routine laboratory analyses by only employing wellhead data.