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Integrins and their potential roles in mammalian pregnancy

Journal of Animal Science and Biotechnology 2024年第1期15卷 1-19页

作者： Gregory A.Johnson robert C.Burghardt Fuller W.Bazer Heewon Seo Joe W.Cain Department of Veterinary Integrative Biosciences School of Veterinary Medicine and Biomedical SciencesTexas A&M UniversityCollege StationTX 77843‑4459USA Department of Animal Science College of Agriculture and Life SciencesTexas A&M UniversityCollege StationTX 77843‑2471USA

Integrins are a highly complex family of receptors that, when expressed on the surface of cells, can mediate reciprocal cell-to-cell and cell-to-extracellular matrix(ECM) interactions leading to assembly of integrin adhesion complexes(IACs) that initiate many signaling functions both at the membrane and deeper within the cytoplasm to coordinate processes including cell adhesion, migration, proliferation, survival, differentiation, and metabolism. All metazoan organisms possess integrins, and it is generally agreed that integrins were associated with the evolution of multicellularity, being essential for the association of cells with their neighbors and surroundings, during embryonic development and many aspects of cellular and molecular biology. Integrins have important roles in many aspects of embryonic development, normal physiology, and disease processes with a multitude of functions discovered and elucidated for integrins that directly influence many areas of biology and medicine, including mammalian pregnancy, in particular implantation of the blastocyst to the uterine wall, subsequent placentation and conceptus(embryo/fetus and associated placental membranes) development. This review provides a succinct overview of integrin structure, ligand binding, and signaling followed with a concise overview of embryonic development, implantation, and early placentation in pigs, sheep, humans, and mice as an example for rodents. A brief timeline of the initial localization of integrin subunits to the uterine luminal epithelium(LE) and conceptus trophoblast is then presented, followed by sequential summaries of integrin expression and function during gestation in pigs, sheep, humans, and rodents. As appropriate for this journal, summaries of integrin expression and function during gestation in pigs and sheep are in depth, whereas summaries for humans and rodents are brief. Because similar models to those illustrated in Fig. 1, 2, 3, 4, 5 and 6 are present throughout the sc

关键词： Humans Implantation Integrins Pigs Pregnancy Rodents Sheep

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Importance of periphytic biofilms for carbon cycling in paddy fields:A review

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Pedosphere 2024年第1期34卷 36-43页

作者： Lei ZHOU Yonghong WU Junzhuo LIU Pengfei SUN Ying XU Jan DOLFING robert GMSPENCER Erik JEPPESEN State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China Zigui Three Gorges Reservoir Ecosystem Observation and Research Station of Ministry of Water Resources of the People's Republic of ChinaYichang 443605China College of Nanjing University of Chinese Academy of SciencesNanjing 211135China Faculty of Energy and Environment Northumbria UniversityNewcastle upon Tyne NE18QHUK Department of Earth Ocean and Atmospheric ScienceFlorida State UniversityTallahassee FL 32306USA Department of Ecoscience&Centre for Water Technology(WATEC) Aarhus UniversityAarhus DK-8000Denmark Sino-Danish Centre for Education and Research Beijing 100049China Limnology Laboratory Department of Biological Sciences and Centre for Ecosystem Research and Implementation(EKOSAM)Middle East Technical UniversityAnkara 06800Turkiye Institute of Marine Sciences Middle East Technical UniversityMersin 33731Turkiye

Paddy fields play an important role in global carbon(C) cycling and are an important source of methane(CH_(4)) emissions. Insights into the processes influencing the dynamics of soil organic C(SOC) in paddy fields are essential for maintaining global soil C stocks and mitigating climate change. Periphytic biofilms composed of microalgae, bacteria, and other microorganisms are ubiquitous in paddy fields, where they directly mediate the transfer of elements at the soil-water interface. However, their contributions to C turnover and exchange have been largely neglected. Periphytic biofilms affect and participate in soil C dynamics by altering both abiotic(e.g., pH and redox potential) and biotic conditions(e.g., microbial community composition and metabolism). This review summarizes the contributions of periphytic biofilms to soil C cycling processes, including carbon dioxide fixation, SOC mineralization, and CH_(4) emissions. Future research should be focused on: i) the mechanisms underlying periphytic biofilm-induced C fixation and turnover and ii) quantifying the contributions of periphytic biofilms to soil C uptake, stabilization, and sequestration in paddy fields.

关键词： carbon fixation carbon mineralization carbon sequestration methane emission microbial aggregates soil organic carbon

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Using adjacency matrix to explore remarkable associations in big and small mineral data

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Geoscience Frontiers 2024年第5期15卷 61-74页

作者： Xiang Que Jingyi Huang Jolyon Ralph Jiyin Zhang Anirudh Prabhu Shaunna Morrison robert Hazen Xiaogang Ma Department of Computer Science University of IdahoMoscowID 83844USA College of Computer and Information Sciences Fujian Agriculture and Forestry UniversityFuzhou 350002China Earth and Planets Laboratory Carnegie Institution for ScienceWashingtonDC 20015USA Hudson Institute of Mineralogy KeswickVA 22947USA

Data exploration,usually the first step in data analysis,is a useful method to tackle challenges caused by big geoscience *** conducts quick analysis of data,investigates the patterns,and generates/refines research questions to guide advanced statistics and machine learning *** background of this work is the open mineral data provided by several sources,and the focus is different types of associations in mineral properties and *** in mineralogy have been applying different techniques for exploring such *** the explored associations can lead to new scientific insights that contribute to crystallography,mineralogy,and geochemistry,the exploration process is often daunting due to the wide range and complexity of factors *** this study,our purpose is implementing a visualization tool based on the adjacency matrix for a variety of datasets and testing its utility for quick exploration of association patterns in mineral ***,software packages,and use cases have been developed to process a variety of mineral *** results demonstrate the efficiency of adjacency matrix in real-world *** the developed works of this study are open source and open access.

关键词： Adjacency matrix Association analysis Data exploration Mineral informatics Open data

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Determination of Physical, Mechanical and Fire Retardancy Properties of Innovative Particleboard Made from Corn Stalk (Zea mays L.) Particles

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Journal of Renewable Materials 2024年第10期12卷 1729-1756页

作者： Lilik Astari Benoit Belleville Kenji Umemura Alex Filkov Barbara Ozarska robert H.Crawford School of Agriculture Food and Ecosystem SciencesThe University of MelbourneMelbourne3121Australia Research Center for Biomass and Bioproducts National Research and Innovation AgencyBogor16911Indonesia Research Institute of Sustainable Humanosphere Kyoto UniversityKyoto611-0011Japan School of Agriculture Food and Ecosystem SciencesThe University of MelbourneCreswick3363Australia Faculty of Architecture Building and PlanningThe University of MelbourneMelbourne3010Australia

The demand for particleboard is increasing along with economic and population ***,two major barriers to the manufacture of particleboard are a shortage of raw materials(woodchips)and the emission of formaldehyde from conventional *** by-products such as corn stalks contain an abundance of renewable lignocellulosic *** study evaluates the effect of citric acid as a natural adhesive and fire retardant addition on the physical,mechanical,and fire retardancy properties of particleboards fabricated from corn stalks.A cost-effective and inorganic salt,calcium carbonate,was tested to enhance the fire *** dihydrogen phosphate was also considered as a comparative *** with the addition of calcium carbonate was pretreated with sodium *** particleboards were pressed for 10 min at 200℃.Japanese Industrial Standard JIS A 5908:2022 was used as the benchmark for the physical and mechanical *** retardancy was dynamically tested by simulating a Bushfire Attack Level of 19 kW/m^(2).The particleboard with 25 wt%citric acid had superior mechanical properties and complied with the JIS A 5908 standard for Type 13 base par*** with the addition of calcium carbonate(5%and 10%)showed significantly delayed pyrolysis time.

关键词： Particleboard corn stalk ﬁre retardancy citric acid mechanical properties

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Pedestrian trajectory prediction method based on the Social-LSTM model for vehicle collision

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Transportation Safety and Environment 2024年第3期6卷 140-151页

作者： Yong Han Xujie Lin Di Pan Yanting Li Liang Su robert Thomson Koji Mizuno School of Mechanical and Automotive Engineering Xiamen University of TechnologyXiamen 361024China Fujian Province Key Laboratory of Advanced Design and Manufacturing of Buses Xiamen 361024China Engineering Research Institute of Xiamen Kinglong United Automobile Industry Co. Ltd.Xiamen 361000China Chalmers University of Technology Gothenburg 41296Sweden Department of Mechanical Systems Engineering Nagoya UniversityNagoya 464-8603Japan

Techniques for predicting the trajectory of vulnerable road users are important to the development of perception systems for autonomous vehicles to avoid *** most effective trajectory prediction methods,such as Social-LSTM,are often used to predict pedestrian trajectories in normal passage ***,they can produce unsatisfactory prediction results and data redundancy,as well as difficulties in predicting trajectories using pixel-based coordinate systems in collision avoidance *** is also a lack of validations using real vehicle-to-pedestrian *** address these issues,some insightful approaches to improve the trajectory prediction scheme of Social-LSTM were proposed,such methods included transforming pedestrian trajectory coordinates and converting image coordinates to world *** YOLOv5 detection model was introduced to reduce target loss and improve prediction *** DeepSORT algorithm was employed to reduce the number of target transformations in the tracking *** Perspective Transformation(IPT)and Direct Linear Transformation(DLT)theories were combined to transform the coordinates to world coordinates,identifying the collision location where the accident could *** performance of the proposed method was validated by training tests using MS COCO(Microsoft Common Objects in Context)and ETH/UCY *** results showed that the target detection accuracy was more than 90%and the prediction loss tends to decrease with increasing training steps,with the final loss value less than 1%.The reliability and effectiveness of the improved method were demonstrated by benchmarking system performance to two video recordings of real pedestrian accidents with different lighting conditions.

关键词： vehicle-to-pedestrian collisions pedestrian trajectory prediction YOLOvB DeepSORT Social-LSTM

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