bluuebunny/crossref_metadata_2025_split huggingface dataset:
100 years of data sovereignty: Cooperative data governance and innovation in US dairy
Authors: Hutchins Jared , Hueth Brent 
Published: January 2023

AbstractWe discuss a little‐known but highly successful approach to innovation and data governance observed in the U.S. dairy sector. The National Cooperative Dairy Herd Improvement Program (NCDHIP) is a century‐old institution that coordinates farm data collection to support research on dairy cattle breeding and genetic selection. After discussing the program's history, we discuss how its evolution can inform data governance in agriculture today. We identify three key attributes that make the NCDHIP a successful model in agriculture: overcoming free‐riding with member benefits to data providers, ensuring data interoperability with uniform data standards, and controlling data access and use with cooperative governance.
Orelabrutinib in relapsed or refractory chronic lymphocytic leukemia/small lymphocytic lymphoma patients: Multi‐center, single‐arm, open‐label, phase 2 study
Authors: Xu Wei , Zhou Keshu , Wang Tingyu , Yang Shenmiao , Liu Lihong , Hu Yu , Zhang Wei , Ding Kaiyang , Zhou Jianfeng , Gao Sujun , Xu Bing , Zhu Zunmin , Liu Ting , Zhang Huilai , Hu Jianda , Ji Chunyan , Wang Shunqing , Xia Zhongjun , Wang Xin , Li Yan , Song Yongping , Ma Shuo , Tang Xinran , Zhang Bin , Li Jianyong 
Published: January 2023

AbstractOrelabrutinib is a novel, small molecule, selective irreversible Bruton's tyrosine kinase inhibitor. The aim of this study was to evaluate the efficacy and safety in patients with refractory or relapsed chronic lymphocytic leukemia (CLL)/small lymphocytic lymphoma (SLL). This is single‐arm, multi‐center, open‐label, phase 2 study in 80 eligible Chinese patients, who were treated with monotherapy of orelabrutinib at 150 mg once daily. Overall response rate evaluated by an independent review committee was the primary endpoint, and secondary endpoints include progression‐free survival, overall survival, and safety. Independent review committee assessed overall response rate was 92.5% (74/80); complete response 21.3% (17/80), partial response 60.0% (48/80), partial response with lymphocytosis 11.3% (9/80). At a 32.3‐month median follow‐up, the median progression‐free survival had not been achieved, while the 30‐month progression‐free survival rate and overall survival rates were 70.9% (95% confidence interval [CI], 59.5–79.6) and 81.3% (95% CI, 70.8–88.2), respectively. Orelabrutinib also revealed substantial response in patients with high prognostic risks: overall response rates of patients carrying positive TP53 mutational status or del(17p), del(11q), as well as unmutated immunoglobulin heavy‐chain variable region gene were 100%, 94.7%, and 93.9%, respectively. Most adverse events were in low grade, with 86.8% of AEs being Grade 1 or 2. Nearly 67% of patients were still receiving orelabrutinib after almost a 3‐year follow‐up. In conclusion, Orelabrutinib demonstrated compelling efficacy as well as safety profiles, with a noteworthy number of patients obtaining complete response in refractory or relapsed CLL/SLL.
Complement biology for hematologists
Authors: Duval Anna , Frémeaux‐Bacchi Véronique 
Published: January 2023

AbstractThe complement system is part of the innate immunity. An increased activation or a loss of the regulation of this fine‐tuned cascade is involved in a variety of hematological diseases. During the last decade, anti‐C5 therapies have revolutionized the management and prognosis of paroxysmal nocturnal hemoglobinuria (PNH) and atypical hemolytic and uremic syndrome (aHUS). The availability of a rapidly growing number of innovative complement inhibitors has opened new therapeutic perspectives for several other hematological disorders in which the complement is involved at different degrees. This review focuses on complement biology and its mechanisms of activation in hematological diseases.
Mechanisms of impaired alveolar fluid clearance
Authors: Taenaka Hiroki , Matthay Michael A. 
Published: January 2023

AbstractImpaired alveolar fluid clearance (AFC) is an important cause of alveolar edema fluid accumulation in patients with acute respiratory distress syndrome (ARDS). Alveolar edema leads to insufficient gas exchange and worse clinical outcomes. Thus, it is important to understand the pathophysiology of impaired AFC in order to develop new therapies for ARDS. Over the last few decades, multiple experimental studies have been done to understand the molecular, cellular, and physiological mechanisms that regulate AFC in the normal and the injured lung. This review provides a review of AFC in the normal lung, focuses on the mechanisms of impaired AFC, and then outlines the regulation of AFC. Finally, we summarize ongoing challenges and possible future research that may offer promising therapies for ARDS.
Toward High Energy Density FeFx (x=2 and 3) Cathodes for Lithium‐Ion Batteries
Authors: Li Jun , Li Xifei , Li Xiangyang , Jiang Qinting 
Published: January 2023

AbstractIt has been challenging to develop next‐generation higher energy density cathode materials to satisfy the incremental demand for lightweight and miniaturization for lithium‐ion batteries (LIBs). The iron‐based fluoride (FeFx) cathodes may be highly competitive due to abundant resources as well as high theoretical capacity. However, the complex multiphase conversion reactions of the FeFx cathodes cause limited battery performance hindering its commercialization. Herein, this review focuses on the multi‐electron conversion processes involved in solid‐solid reactions. More importantly, the scientific strategies of enhanced FeFx performance are mainly addressed in view of four critical aspects, i. e., conductive matrix, heteroatom doping, surface modification, and electrolyte engineering. It is demonstrated that the optimized strategies can mitigate the challenges of the FeFx cathodes during multi‐electron conversion processes. It is believed that this review has been a guidance for improving the cycling performance of the FeFx cathodes for high energy density LIBs.
Bilateral anterior ischemic optic neuropathy and choroidal ischemia in a patient with COVID‐19 infection
Authors: Shahri Seyed Hossein Ghavami , Abrishami Mojtaba , Shayanfar Helia , Khazaei Sahel 
Published: January 2023

AbstractA 57‐year‐old male known case of diabetes mellitus presented with gradually bilateral decreased vision accompanied by ocular pain two weeks after diagnosis of SARS‐CoV‐2 infection. The results of examination and imaging were indicative of bilateral anterior ischemic optic neuropathy (AION) and massive choroidal ischemia, which may be associated with SARS‐CoV‐2‐induced damages, including endothelial damage, hypercoagulable state, and hypoxia.
Transition Metal‐based Perovskite Oxides: Emerging Electrocatalysts for Oxygen Evolution Reaction
Authors: Deeksha  , Kour Pawanpreet , Ahmed Imtiaz , Sunny  , Sharma Surender Kumar , Yadav Kamlesh , Mishra Yogendra Kumar 
Published: January 2023

AbstractDevelopment of clean and sustainable renewable energy sources is imperative to deal with the future energy crises. Various technologies have been developed in this context, for example, water electrolysis, reversible fuel cell and metal‐air batteries etc. However, the sluggish kinetics of oxygen evolution reaction (OER) occurring at the anode of these energy storage/conversion systems becomes a significant hurdle. Recently, researchers utilized noble metals as electrocatalysts to enhance their efficiency still the high cost and scarcity of these materials draw the attention of researchers towards the cost‐effective Perovskite oxide nanomaterials due to their extraordinary flexibility. In this review, the importance of perovskite oxide nanomaterials as electrocatalysts for OER is discussed, followed by related reaction mechanisms and series of activity descriptors. Fundamental understanding about the instrumentation, parameters and protocols for the experimental measurements including concerned issues are also summarized. Moreover, various activation strategies adopted in recent years to enhance the electrocatalytic performance of perovskite oxides are also underlined. The article concludes with an outlook of existing challenges and future scope of these materials as electrocatalysts. The challenges and prospects discussed herein may pave the ways to rationally design the highly active and stable perovskites to outperform noble metal‐based OER electrocatalysts.
Spatially Resolved Tomographic Assessment of Axial Mixing in Structured and Random Packings
Authors: Kögl Thilo , Linder Thomas , Arlt Wolfgang 
Published: January 2023

AbstractThe liquid axial dispersion inside modern structured packings (Sulzer Mellapak™ 500.Y, Raschig Super‐Pak 350Y) and one random packing of the 4th generation (Raschig Super‐Ring 0.3) was measured by means of computed tomography. As the gas velocity is known to have little effect on the liquid axial dispersion at low hydraulic load, all experiments were conducted without countercurrent gas flow at liquid loads of B = 10, 15, and 20 m3m−2h−1 in a column with an inner diameter of 100 mm. Injection of the X‐ray‐active tracer potassium iodide allows the identification of active and passive liquid accumulations inside the structured packing. Good agreement was found between the active liquid holdup from tomographic images and the total holdup calculated from the mean residence time for the structured packings.
Radiation heat transfer during hypersonic flight: A review of emissivity measurement and enhancement approaches of ultra‐high temperature ceramics
Authors: Saad Abdullah A. , Martinez Carlos , Trice Rodney W. 
Published: January 2023

AbstractEmissivity as a function of wavelength, direction, and temperature correlates to a material's efficiency in radiating thermal energy. Knowledge of emissivity is essential for designing and developing radiation‐cooled thermal protective systems for hypersonic applications. It is desirable to achieve a high emissivity (with a value close to 1) to maximize heat radiation from a hot surface of a hypersonic vehicle's leading edge during atmospheric re‐entry. With the goal of providing the hypersonic materials community with this necessary knowledge, this article offers a basic understanding of thermal radiation, methods for measuring emissivity at high temperatures, and a comprehensive overview of the emissivity of ultra‐high temperature ceramics.
Defect‐engineered two‐dimensional transition metal dichalcogenides towards electrocatalytic hydrogen evolution reaction
Authors: Su Hang , Pan Xiaodong , Li Suqin , Zhang Hao , Zou Ruqiang 
Published: January 2023

AbstractRecently, two‐dimensional transition metal dichalcogenides (TMDs) demonstrated their great potential as cost‐effective catalysts in hydrogen evolution reaction. Herein, we systematically summarize the existing defect engineering strategies, including intrinsic defects (atomic vacancy and active edges) and extrinsic defects (metal doping, nonmetal doping, and hybrid doping), which have been utilized to obtain advanced TMD‐based electrocatalysts. Based on theoretical simulations and experimental results, the electronic structure, intermediate adsorption/desorption energies and possible catalytic mechanisms are thoroughly discussed. Particular emphasis is given to the intrinsic relationship between various types of defects and electrocatalytic properties. Furthermore, current opportunities and challenges for mechanical investigations and applications of defective TMD‐based catalysts are presented. The aim herein is to reveal the respective properties of various defective TMD catalysts and provide valuable insights for fabricating high‐efficiency TMD‐based electrocatalysts.
Recent progress in research and design concepts for the characterization, testing, and photocatalysts for nitrogen reduction reaction
Authors: Sun Benteng , Lu Shucao , Qian Yeye , Zhang Xiaoli , Tian Jian 
Published: January 2023

AbstractThe reduction of molecular nitrogen (N2) to ammonia (NH3) under mild conditions is one of the most promising studies in the energy field due to the important role of NH3 in modern industry, production, and life. The photocatalytic reduction of N2 is expected to achieve clean and sustainable NH3 production by using clean solar energy. To date, the new photocatalysts for photocatalytic reduction of N2 to NH3 at room temperature and atmospheric pressure have not been fully developed. The major challenge is to achieve high light‐absorption efficiency, conversion efficiency, and stability of photocatalysts. Herein, the methods for measuring produced NH3 are compared, and the problems related to possible NH3 pollution in photocatalytic systems are mentioned to provide accurate ideas for measuring photocatalytic efficiency. The recent progress of nitrogen reduction reaction (NRR) photocatalysts at ambient temperature and pressure is summarized by introducing charge transfer, migration, and separation in photocatalytic NRR, which provides guidance for the selection of future photocatalyst selection. More importantly, we introduce the latest research strategies of photocatalysts in detail, which can guide the preparation and design of photocatalysts with high NRR activity.
Immobilization of Proteases on Nanoflower‐Like Metal Organic Framework
Authors: Li He , Tu Yunjie , Tu Tao , Zhang Qi 
Published: January 2023

Comprehensive SummaryProteases have been widely used in pharmaceutics and industry, and an economic, convenient and robust procedure for protease immobilization is of high interest. In this study, we report immobilization of proteases by the nanoflower‐like zeolitic imidazole framework (nfZIF). Using trypsin, protease K, and Glu‐C as model enzymes, we show nfZIF represents an excellent material for protease immobilization, and the resulting protease@nfZIF composites exhibit activities comparable to or even higher than the free proteases in solution. The protease@nfZIF composites are stable in high temperature and organic solvents, and retain almost fully active after several reaction cycles. Our studies demonstrate the great potential of nfZIF in the immobilization of proteases, which could be of interest in various industrial applications.
Clavukoelloids A—M, Thirteen Rare N‐Containing Nardosinane Type Sesquiterpenoids from the Soft Coral Clavularia koellikeri
Authors: Han Xiao , Wang Zhe , Fu Anran , Liu Kun , Ma Zongchen , Tang Xuli , Zhang Dahai , Li Guoqiang 
Published: January 2023

Comprehensive SummaryThirteen new nitrogen‐containing nardosinane‐type sesquiterpenoids, clavukoelloids A—M (1—13) with unique acrylamide fragments vs. the reported general nardosinane‐type sesquiterpenoids containing lactone, were isolated from the soft coral Clavularia koellikeri collected from the South China Sea. The structures and absolute configurations of new compounds were unambiguously determined by analysis of spectroscopic data, CP3, DP4+, ECD spectra, and X‐ray diffraction. Compound 6 showed anti‐inflammatory activities and hepatoprotective activities in transgenic fluorescent zebrafish.
Performance comparison of Dask and Apache Spark on HPC systems for neuroimaging
Authors: Dugré Mathieu , Hayot‐Sasson Valérie , Glatard Tristan 
Published: January 2023

SummaryThe general increase in data size and data sharing motivates the adoption of Big Data strategies in several scientific disciplines. However, while several options are available, no particular guidelines exist for selecting a Big Data engine. In this paper, we compare the runtime performance of two popular Big Data engines with Python APIs, Apache Spark, and Dask, in processing neuroimaging pipelines. Our experiments use three synthetic neuroimaging applications to process the 606 GB BigBrain image and an actual pipeline to process data from thousands of anatomical images. We benchmark these applications on a dedicated HPC cluster running the Lustre file system while using varying combinations of the number of nodes, file size, and task duration. Our results show that although there are slight differences between Dask and Spark, the performance of the engines is comparable for data‐intensive applications. However, Spark requires more memory than Dask, which can lead to slower runtime depending on configuration and infrastructure. In general, the limiting factor was the data transfer time. While both engines are suitable for neuroimaging, more efforts need to be put to reduce the data transfer time and the memory footprint of applications.
CM‐FRAP–Continuum Mechanics‐Based Fluorescence Recovery After Photobleaching
Authors: Saito Takumi , Deguchi Shinji 
Published: January 2023

AbstractFluorescence recovery after photobleaching (FRAP) is widely used to evaluate intracellular molecular turnover or repeated translocation of molecules using confocal laser scanning microscopy. While numerous models have been developed for the analysis of FRAP responses, in which chemical interactions and/or fast diffusion processes are involved, it is inherently difficult to evaluate the long‐term behavior of molecular turnover because of the presence of intracellular flow and microscopic deformation of bleached regions. To overcome these difficulties, we have developed a novel continuum mechanics‐based FRAP (CM‐FRAP) approach that enables simultaneous evaluation of long‐term molecular turnover and intracellular flow/deformation. Here we demonstrate the utility of CM‐FRAP by using actin molecules associated with stress fibers in rat aortic smooth muscle cells with clarification of the experimental setup and data analysis. © 2023 Wiley Periodicals LLC.Basic Protocol 1: Plasmid construction and sample preparationBasic Protocol 2: How to perform FRAP experimentsBasic Protocol 3: Data analysis based on CM‐FRAP
Drivers of income diversification among rural households in the Ethiopian central highlands
Authors: Getahun Wudineh , Haji Jema , Mehare Abule , Zemedu Lemma 
Published: January 2023

AbstractAs in most developing countries, farm households in Ethiopia are often engaged in several income diversification activities to mitigate several risks and uncertainties faced by agriculture and address poverty and food insecurity. The benefits of income diversification have been widely documented in the literature. However, little econometric evidence exists on the drivers of income diversification among farm households in Ethiopia. The paper addresses this information gap by investigating the drivers of choice decisions and intensity of income diversification among farm households using data collected from a sample of 385 randomly selected households from the Ethiopian central highlands. Unlike previous studies, our multivariate probit model results show that the choice decision of farm households is significantly interrelated and drivers had heterogeneous effects on the choice decision of households. The findings revealed that age, education, livestock, land, food shortage, agricultural commercialization cluster (ACC), investment in sustainable farming practices, rainfall, and maximum temperature significantly impacted the choice of income diversification. The fractional response logit model results revealed that age, livestock, food shortage, joint household decision‐making, ACC, income, rainfall, and study site significantly impacted the intensity of income diversification. The descriptive results revealed that most farmers (67%) tend to have a more diversified portfolio of income including off‐farm, forest, non‐farm, livestock, crop, and other sources, and the intensity of diversification ranges between 0 and 0.76. The study also finds the presence of both synergies and trade‐offs in different types of diversification. We suggest that there is an urgent need to improve the ways of income diversification among farm households to both the sustainability of small farms and ensure food security.
Acoustic multipole source–simplified lattice Boltzmann method for simulating acoustic propagation problems
Authors: Chen Rongqian , Cao Shuqi , Liu Wanhong , Song Qiaochu , You Yancheng 
Published: January 2023

AbstractCombining the advantages of the acoustic multipole source (AMS) method and the simplified lattice Boltzmann method (SLBM), a method called AMS–SLBM is proposed for simulating the propagation of acoustic multipole sources in fluids. A particle source term is introduced to the right‐hand side of the lattice Boltzmann equation using the AMS method, and the macroscopic equations with source terms are derived via the Chapman–Enskog expansion analysis. Employing the fractional step technique, the solving process of the macroscopic equations can be divided into three steps: the predictor, corrector, and supplement steps. In the predictor and corrector steps, macroscopic equations without source terms are solved by SLBM, and in the supplement step, the time advancement of the source terms is solved using the finite difference method. AMS–SLBM uses SLBM to simulate the propagation of sound waves by directly evolving the macroscopic variables, which evades the evolution and storage of the distribution function, and the computational process is simpler and memory can be reduced compared to the standard LBM. Moreover, since the acoustic source term is introduced to the right‐hand side of the lattice Boltzmann equation by the AMS method, AMS–SLBM avoids the disadvantage that the traditional forced equilibrium distribution function method will interfere and cover the original flow field during the calculations. Several cases including the propagation of a plane wave, a Gaussian pulse and acoustic monopole, dipole, and quadrupole sources are simulated to validate the robustness and accuracy of the present method. The results show that AMS–SLBM can well simulate acoustic multipole sources propagation, and it affords second‐order accuracy.
Complement component C1q initiates extrinsic coagulation via the receptor for the globular head of C1q in adventitial fibroblasts and vascular smooth muscle cells
Authors: Freda Christopher T. , Yin Wei , Ghebrehiwet Berhane , Rubenstein David A. 
Published: January 2023

AbstractBackgroundVascular diseases are highly associated with inflammation and thrombosis. Elucidating links between these two processes may provide a clearer understanding of these diseases, allowing for the design of more effective treatments. The activation of complement component 1 (C1) is a crucial contributor to innate immunity and is associated with significant concentrations of circulating C1q. Many pathological pathways initiate when C1q interacts with gC1qR. This interaction plays a major role in inflammation observed during atherosclerosis and the initiation of intrinsic coagulation. However, the effects of C1 and the role of C1q/gC1qR on extrinsic coagulation, which is the more physiologically relevant coagulation arm, has not been studied. We hypothesized that C1q binding to gC1qR enhances the expression of tissue factor (TF) in adventitial fibroblasts and vascular smooth muscle cells, the primary TF bearing cells in the body.MethodsUsing an enzyme‐linked immunosorbent assay approach, TF expression and the role of gC1qR was observed. Cells were conditioned for 1 h with C1q or a gC1qR blocker and C1q, to assess the role of gC1qR. Additionally, cell growth characteristics were monitored to assess changes in viability and metabolic activity.ResultsOur results indicate that the expression of TF increased significantly after incubation with C1q as compared with unconditioned cells. Cells conditioned with gC1qR blockers and C1q exhibited no change in TF expression when compared with cells conditioned with the blocking antibodies alone. Our results show no significant differences in metabolic activity or cell viability under these conditions.ConclusionsThis indicates that gC1qR association with C1q induces TF expression and may initiate extrinsic coagulation. Overall, this data illustrates a role for C1q in the activation of extrinsic coagulation and that gC1qR activity may link inflammation and thrombosis.