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Taxonomic monograph of epifoliar fungi

Fungal Diversity 2023年第4期121卷 139-334页

作者： D.S.Marasinghe S.Hongsanan x.y.zeng E.B.G.Jones P.Chomnunti S.Boonmee K.D.Hyde Center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand School of Science Mae Fah Luang UniversityChiang Rai 57100Thailand Mushroom Research Foundation 128 M.3 Ban Pa Deng T.Pa PaeA.Mae TaengChiang Mai 50150Thailand Innovative Institute for Plant Health Zhongkai University of Agriculture and EngineeringGuangzhou 510225People’s Republic of China Faculty of Sciences Research Center of Microbial Diversity and Sustainable UtilizationChiang Mai UniversityChiang Mai 50200Thailand Department of Plant Pathology College of AgricultureGuizhou UniversityGuiyang 550025China Nantgaredig 33B St.Edwards RoadSouthsea PO53DHHantsUK Department of Biology Faculty of ScienceChiang Mai UniversityChiang Mai 50200Thailand Department of Botany and Microbiology College of ScienceKing Saud UniversityP.O Box 2455Riyadh 11451Kingdom of Saudi Arabia Shenzhen Key Laboratory of Microbial Genetic Engineering College of Life Sciences and OceanographyShenzhen UniversityShenzhen 518060GuangdongPeople’s Republic of China

Epifoliar fungi are one of the significant fungal groups typically living on the surface of leaves. They are usually recordedas saprobes, obligate parasites and commensals and are widely distributed in tropical and subtropical regions. Numerousgenera within this group remain inadequately understood, primarily attributed to limited taxonomic knowledge and insufficientmolecular data. Furthermore, the taxonomic delineation of epifoliar fungi remained uncertain, with scattered andliterature-based data often intermixed with other follicolous fungi. Herein, a comprehensive taxonomic monograph of 124genera in (32) Asterinales, (18) Capnodiales, (15) Chaetothyriales, (8) Meliolales, (8) Micropeltidales, (10) Microthyriales,(32) Parmulariales and (1) Zeloasperisporiales was provided re-describing with illustrations and line drawings. Notes onecological and economic importance of the families are also provided. Representatives type herbarium materials of Campoapulcherrima, Cycloschizon brachylaenae, Ferrarisia philippina, Hysterostomella guaranitica, Palawaniella orbiculata andPseudolembosia orbicularis of Parmulariaceae were re-examined and provided updated illustrations with descriptions. Abackbone phylogenetic tree and divergence estimation analysis for epifoliar fungi based on LSU and 5.8s ITS sequence dataare provided.

关键词： Divergence Follicolous Obligate Parmulariaceae Tropical

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SIMULATION OF TEMPERATURE AND THERMAL STRESS FIELD IN LASER MILLING PROCESSING

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Acta Metallurgica Sinica(English Letters) 2004年第1期17卷 43-46页

作者： G.F.yuan C.S.Ge x.y.zeng State Key Laboratory of Laser Technology.Huazhong University of Science and Technology Wuhan 430074China Anhui Institute of Architecture and IndustryHefei 230022 ChinaAnhui Institute of Architecture and IndustryHefei 230022 ChinaState Key Laboratory of Laser Technology Huazhong University of Science and Technology Wuhan 430074 China

The physical model of temperature field and thermal stress field are established in this paper, on which the numerical simulation with the assuming physical and laser milling parameters have been finished. The laser m... 详细信息

关键词： laser milling temperature field thermal stress field simulation

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Finite element analysis and experimental validation of polymer-metal contacts in block-on-ring configuration

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Friction 2024年第3期12卷 554-568页

作者： K.y.Eayal AWWAD Khosro FALLAHNEZHAD B.F.yOUSIF Ahmad MOSTAFA Omar ALAJARMEH A.SHALWAN xuesen zeng Mechanical Engineering Department Faculty of EngineeringTafila Technical UniversityTafila 66110Jordan Medical Device Research Institute College of Science and EngineeringFlinders UniversitySouth Australia 5042Australia Centre for Future Materials University of Southern QueenslandToowoomba 4350Australia Department of Manufacturing Engineering Technology Public Authority for Applied Education and TrainingKuwait 13092Kuwait

The wear profile analysis,obtained by different tribometers,is essential to characterise the wear mechanisms.However,most of the available methods did not take the stress distribution over the wear profile in consideration,which causes inaccurate analysis.In this study,the wear profile of polymer–metal contact,obtained by block-on-ring configuration under dry sliding conditions,was analysed using finite element modelling(FEM)and experimental investigation.Archard’s wear equation was integrated into a developed FORTRAN-UMESHMOTION code linked with Abaqus software.A varying wear coefficient(k)values covering both running-in and steady state regions,and a range of applied loads involving both mild and severe wear regions were measured and implemented in the FEM.The FEM was in good agreement with the experiments.The model reproduced the stress distribution profiles under variable testing conditions,while their values were affected by the sliding direction and maximum wear depth(hmax).The largest area of the wear profile,exposed to the average contact stresses,is defined as the normal zone.Whereas the critical zones were characterized by high stress concentrations reaching up to 10 times of that at the normal zone.The wear profile was mapped to identify the critical zone where the stress concentration is the key point in this definition.The surface features were examined in different regions using scanning electron microscope(SEM).Ultimately,SEM analysis showed severer damage features in the critical zone than that in the normal zone as proven by FEM.However,the literature data presented and considered the wear features the same at any point of the wear profile.In this study,the normal zone was determined at a stress value of about 0.5 MPa,whereas the critical zone was at about 5.5 MPa.The wear behaviour of these two zones showed totally different features from one another.

关键词： polymer-to-metal contact block-on-ring wear profile wear model

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Navigating Epstein–Barr virus autoimmunity:role of NK cells and T cells in multiple sclerosis

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Signal Transduction and Targeted Therapy 2024年第3期9卷 833-835页

作者： Chu xie Cong Sun Mu-Sheng zeng State Key Laboratory of Oncology in South China Guangdong Provincial Clinical Research Center for CancerGuangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat-sen University Cancer CenterGuangzhouP.R.China

In a recent study published in Cell,Vietzen and colleagues discovered the novel role of natural killer(NK)cells and EBVspecific CD8+T cell response in controlling EBV-inducing autoimmune response and collectively def... 详细信息

关键词： Epstein sclerosis killer

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STCF conceptual design report (Volume 1): Physics & detector

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Frontiers of physics 2024年第1期19卷 1-154页

作者： M.Achasov x.C.Ai L.P.An R.Aliberti Q.An x.Z.Bai y.Bai O.Bakina A.Barnyakov V.Blinov V.Bobrovnikov D.Bodrov A.Bogomyagkov A.Bondar I.Boyko Z.H.Bu F.M.Cai H.Cai J.J.Cao Q.H.Cao x.Cao Z.Cao Q.Chang K.T.Chao D.y.Chen H.Chen H.x.Chen J.F.Chen K.Chen L.L.Chen P.Chen S.L.Chen S.M.Chen S.Chen S.P.Chen W.Chen x.Chen x.F.Chen x.R.Chen y.Chen y.Q.Chen H.y.Cheng J.Cheng S.Cheng T.G.Cheng J.P.Dai L.y.Dai x.C.Dai D.Dedovich A.Denig I.Denisenko J.M.Dias D.Z.Ding L.y.Dong W.H.Dong V.Druzhinin D.S.Du y.J.Du Z.G.Du L.M.Duan D.Epifanov y.L.Fan S.S.Fang Z.J.Fang G.Fedotovich C.Q.Feng x.Feng y.T.Feng J.L.Fu J.Gao y.N.Gao P.S.Ge C.Q.Geng L.S.Geng A.Gilman L.Gong T.Gong B.Gou W.Gradl J.L.Gu A.Guevara L.C.Gui A.Q.Guo F.K.Guo J.C.Guo J.Guo y.P.Guo Z.H.Guo A.Guskov K.L.Han L.Han M.Han x.Q.Hao J.B.He S.Q.He x.G.He y.L.He Z.B.He Z.x.Heng B.L.Hou T.J.Hou y.R.Hou C.y.Hu H.M.Hu K.Hu R.J.Hu W.H.Hu x.H.Hu y.C.Hu J.Hua G.S.Huang J.S.Huang M.Huang Q.y.Huang W.Q.Huang x.T.Huang x.J.Huang y.B.Huang y.S.Huang N.Hüsken V.Ivanov Q.P.Ji J.J.Jia S.Jia Z.K.Jia H.B.Jiang J.Jiang S.Z.Jiang J.B.Jiao Z.Jiao H.J.Jing x.L.Kang x.S.Kang B.C.Ke M.Kenzie A.Khoukaz I.Koop E.Kravchenko A.Kuzmin y.Lei E.Levichev C.H.Li C.Li D.y.Li F.Li G.Li G.Li H.B.Li H.Li H.N.Li H.J.Li H.L.Li J.M.Li J.Li L.Li L.Li L.y.Li N.Li P.R.Li R.H.Li S.Li T.Li W.J.Li x.Li x.H.Li x.Q.Li x.H.Li y.Li y.y.Li Z.J.Li H.Liang J.H.Liang y.T.Liang G.R.Liao L.Z.Liao y.Liao C.x.Lin D.x.Lin x.S.Lin B.J.Liu C.W.Liu D.Liu F.Liu G.M.Liu H.B.Liu J.Liu J.J.Liu J.B.Liu K.Liu K.y.Liu K.Liu L.Liu Q.Liu S.B.Liu T.Liu x.Liu y.W.Liu y.Liu y.L.Liu Z.Q.Liu Z.y.Liu Z.W.Liu I.Logashenko y.Long C.G.Lu J.x.Lu N.Lu Q.F.Lü y.Lu y.Lu Z.Lu P.Lukin F.J.Luo T.Luo x.F.Luo y.H.Luo H.J.Lyu x.R.Lyu J.P.Ma P.Ma y.Ma y.M.Ma F.Maas S.Malde D.Matvienko Z.x.Meng R.Mitchell A.Nefediev y.Nefedov S.L.Olsen Q.Ouyang P.Pakhlov G.Pakhlova x.Pan y.Pan E.Passemar y.P.Pei H.P.Peng L.Peng x.y.Peng x.J.Peng K.Peters S.Pivovarov E.Pyata B.B.Qi y.Q.Qi W.B.Qian y.Qian C.F.Qiao J.J.Qin J.J.Qin L.Q.Qin x.S.Qin T.L.Qiu J.Rademacker C.F.Redmer H.y.Sang Anhui University Hefei 230039China Beihang University Beijing 100191China Budker Institute of Nuclear Physics Novosibirsk 630090Russia CAS Key Laboratory of Theoretical Physics Institute of Theoretical PhysicsChinese Academy of SciencesBeijing 100190China Cavendish Laboratory University of CambridgeJJ Thomson AveCambridge CB30HEUnited Kingdom Central China Normal University Wuhan 430079China Central South University Changsha 410083China China University of Geosciences Wuhan 430074China China University of Mining and Technology Xuzhou 221116China École Polytechnique Fédérale de Lausanne(EPFL) LausanneSwitzerland Fudan University Shanghai 200433China Goethe University Frankfurt D-60325 Frankfurt am MainGermany Guangxi Normal University Guilin 541004China Guangxi Uninversity Nanning 530004China Hangzhou Institute for Advanced Study UCASHangzhou 310024China Hebei Normal University Shijiazhuang 050024China Hebei University Baoding 071002China Hefei University of Technology Hefei 230601China Helmholtz Institute Mainz Staudinger Weg 18D-55099 MainzGermany Henan Normal University Xinxiang 453007China Henan University Kaifeng 475004China High Energy Physics Center Chung-Ang UniversitySeoul 06974Korea Higher School of Economy 11 Pokrovsky Bulvar Moscow 109028Russia Huangshan University Huangshan 245000China Hubei University of Automotive Technology Shiyan 442002China Hunan Normal University Changsha 410081China Hunan University of Science and Technology Xiangtan 411201China Hunan University Changsha 410082China Indiana University BloomingtonIndiana 47405USA Inner Mongolia University Hohhot 010021China Institute of Advanced Science Facilities Shenzhen 518107China Institute of High Energy Physics Chinese Academy of SciencesBeijing 100049China Institute of Modern Physics Chinese Academy of SciencesLanzhou 730000China Institute of Physics Academia SinicaTaipeiTaiwan 11529China Institute of Theoretical Physics Chinese Academy of SciencesBeijing 100190China Jilin University Changch

The superτ-charm facility(STCF)is an electron–positron collider proposed by the Chinese particle physics community.It is designed to operate in a center-of-mass energy range from 2 to 7 GeV with a peak luminosity of 0.5×10^(35) cm^(–2)·s^(–1) or higher.The STCF will produce a data sample about a factor of 100 larger than that of the presentτ-charm factory—the BEPCII,providing a unique platform for exploring the asymmetry of matter-antimatter(charge-parity violation),in-depth studies of the internal structure of hadrons and the nature of non-perturbative strong interactions,as well as searching for exotic hadrons and physics beyond the Standard Model.The STCF project in China is under development with an extensive R&D program.This document presents the physics opportunities at the STCF,describes conceptual designs of the STCF detector system,and discusses future plans for detector R&D and physics case studies.

关键词： electron–positron collider tau-charm region high luminosity STCF detector conceptual design

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Unsupervised Multi-Expert Learning Model for Underwater Image Enhancement

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 708-722页

作者： Hongmin Liu Qi Zhang yufan Hu Hui zeng Bin Fan the School of Intelligence Science and Technology and the Institute of Artificial Intelligence University of Science and Technology BeijingBeijing 100083China the School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing 100083China IEEE

Underwater image enhancement aims to restore a clean appearance and thus improves the quality of underwater degraded images.Current methods feed the whole image directly into the model for enhancement.However,they ignored that the R,G and B channels of underwater degraded images present varied degrees of degradation,due to the selective absorption for the light.To address this issue,we propose an unsupervised multi-expert learning model by considering the enhancement of each color channel.Specifically,an unsupervised architecture based on generative adversarial network is employed to alleviate the need for paired underwater images.Based on this,we design a generator,including a multi-expert encoder,a feature fusion module and a feature fusion-guided decoder,to generate the clear underwater image.Accordingly,a multi-expert discriminator is proposed to verify the authenticity of the R,G and B channels,respectively.In addition,content perceptual loss and edge loss are introduced into the loss function to further improve the content and details of the enhanced images.Extensive experiments on public datasets demonstrate that our method achieves more pleasing results in vision quality.Various metrics(PSNR,SSIM,UIQM and UCIQE) evaluated on our enhanced images have been improved obviously.

关键词： Multi-expert learning underwater image enhancement unsupervised learning

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On implications of somatostatin in diabetic retinopathy

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Neural Regeneration Research 2024年第9期19卷 1984-1990页

作者： yanhong Fang Qionghua Wang youjian Li Li zeng Jian Liu Kepeng Ou Department of Ophthalmology Chongqing University Jiangjin HospitalChongqingChina College of Pharmacy National&Local Joint Engineering Research Center of Targeted and Innovative TherapeuticsIATTIChongqing University of Arts and SciencesChongqingChina Shandong Provincial Hospital Shandong Laboratory Animal CenterScience and Technology Innovation CenterShandong First Medical University&Shandong Academy of Medical SciencesJinanShandong ProvinceChina Academic Unit of Ophthalmology Bristol Medical SchoolUniversity of BristolBristolUK

Somatostatin,a naturally produced neuroprotective peptide,depresses excitatory neurotransmission and exerts anti-proliferative and anti-inflammatory effects on the retina.In this review,we summarize the progress of somatostatin treatment of diabetic retinopathy through analysis of relevant studies published from February 2019 to February 2023 extracted from the PubMed and Google Scholar databases.Insufficient neuroprotection,which occurs as a consequence of declined expression or dysregulation of retinal somatostatin in the very early stages of diabetic retinopathy,triggers retinal neurovascular unit impairment and microvascular damage.Somatostatin replacement is a promising treatment for retinal neurodegeneration in diabetic retinopathy.Numerous pre-clinical and clinical trials of somatostatin analog treatment for early diabetic retinopathy have been initiated.In one such trial(EUROCONDOR),topical administration of somatostatin was found to exert neuroprotective effects in patients with pre-existing retinal neurodysfunction,but had no impact on the onset of diabetic retinopathy.Overall,we concluded that somatostatin restoration may be especially beneficial for the growing population of patients with early-stage retinopathy.In order to achieve early prevention of diabetic retinopathy initiation,and thereby salvage visual function before the appearance of moderate non-proliferative diabetic retinopathy,several issues need to be addressed.These include the needs to:a)update and standardize the retinal screening scheme to incorporate the detection of early neurodegeneration,b)identify patient subgroups who would benefit from somatostatin analog supplementation,c)elucidate the interactions of somatostatin,particularly exogenously-delivered somatostatin analogs,with other retinal peptides in the context of hyperglycemia,and d)design safe,feasible,low cost,and effective administration routes.

关键词： diabetes retinopathy excitotoxicity growth hormone insulin like growth factor irisin neurodegeneration neuroinflammation neuroprotection neurovascular unit octreotide oxidative stress somatostatin

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Gradient-based algorithms for multi-objective bi-level optimization

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Science China Mathematics 2024年第6期67卷 1419-1438页

作者： xinmin yang Wei yao Haian yin Shangzhi zeng Jin Zhang National Center for Applied Mathematics in Chongqing Chongqing401331China School of Mathematical Sciences Chongqing Normal UniversityChongqing401331China Department of Mathematics Southern University of Science and TechnologyShenzhen518055China National Center for Applied Mathematics Shenzhen Shenzhen518000China Department of Mathematics and Statistics University of VictoriaVictoriaBCV8W 2Y2Canada

Multi-objective bi-level optimization(MOBLO)addresses nested multi-objective optimization problems common in a range of applications.However,its multi-objective and hierarchical bi-level nature makes it notably complex.Gradient-based MOBLO algorithms have recently grown in popularity,as they effectively solve crucial machine learning problems like meta-learning,neural architecture search,and reinforcement learning.Unfortunately,these algorithms depend on solving a sequence of approximation subproblems with high accuracy,resulting in adverse time and memory complexity that lowers their numerical efficiency.To address this issue,we propose a gradient-based algorithm for MOBLO,called gMOBA,which has fewer hyperparameters to tune,making it both simple and efficient.Additionally,we demonstrate the theoretical validity by accomplishing the desirable Pareto stationarity.Numerical experiments confirm the practical efficiency of the proposed method and verify the theoretical results.To accelerate the convergence of gMOBA,we introduce a beneficial L2O(learning to optimize)neural network(called L2O-gMOBA)implemented as the initialization phase of our gMOBA algorithm.Comparative results of numerical experiments are presented to illustrate the performance of L2O-gMOBA.

关键词： multi-objective bi-level optimization convergence analysis Pareto stationary learning to optimize

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Response of Rice Growth and Nutrient Absorption in a SalineAlkali Paddy to Different Nitrogen Fertilizer Applications

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Rice science 2024年第3期31卷 245-250,I0011-I0017页

作者： WANG xinyi ZHU Hui yAN Baixing Brian SHUTES zeng yuan Key Laboratory of Wetland Ecology and Environment Northeast Institute of Geography and AgroecologyChinese Academy of SciencesChangchun 130102China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory of Black Soils Conservation and Utilization Changchun 130102China Department of Natural Sciences Middlesex UniversityHendonLondonNW44BTUK xingkaihu Branch Office of Heilongjiang Agriculture Co. LTDJixi 158325China

Nitrogen(N),phosphorus(P)and carbon(C)are essential nutrients for rice growth and development,but the response of nutrient absorption by rice plants to different types of nitrogen fertilizer(N-fertilizer)under saline-alkali conditions is unclear.This study conducted a 147-day field-scale experiment to evaluate rice biomass and nutrient absorption capacity with five N-fertilizer applications.The results showed that the biomass.

关键词： Nutrient Alkali alkali

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NF-κB in biology and targeted therapy:new insights and translational implications

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Signal Transduction and Targeted Therapy 2024年第4期9卷 1322-1358页

作者： Qing Guo yizi Jin xinyu Chen xiaomin ye xin Shen Mingxi Lin Cheng zeng Teng Zhou Jian Zhang Department of Medical Oncology Fudan University Shanghai Cancer CenterNo.270Dong'an RoadShanghai 200032China Department of Oncology Shanghai Medical CollegeFudan UniversityShanghaiChina State Key Laboratory of Oncogenes and Related Genes Renj-Med-X Stem Cell Research CenterShanghai Cancer Institute&Department of UrologyRen Ji HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai 200127PR China Department of Cardiology the First Affiliated Hospital of Sun Yat-Sen University58 Zhongshan 2nd RoadGuangzhou 510080China Department of Neurology Rujin HospitalShanghai JiaoTong University Schoolof MedicineShanghaiChina

NF-κB signaling has been discovered for nearly 40 years.Initially,NF-κB signaling was identified as a pivotal pathway in mediating inflammatory responses.However,with extensive and in-depth investigations,researchers have discovered that its role can be expanded to a variety of signaling mechanisms,biological processes,human diseases,and treatment options.In this review,we first scrutinize the research process of NF-κB signaling,and summarize the composition,activation,and regulatory mechanism of NF-κB signaling.We investigate the interaction of NF-κB signaling with other important pathways,including PI3K/AKT,MAPK,JAK-STAT,TGF-β,Wnt,Notch,Hedgehog,and TLR signaling.The physiological and pathological states of NF-κB signaling,as well as its intricate involvement in inflammation,immune regulation,and tumor microenvironment,are also explicated.Additionally,we illustrate how NF-κB signaling is involved in a variety of human diseases,including cancers,inflammatory and autoimmune diseases,cardiovascular diseases,metabolic diseases,neurological diseases,and covID-19.Further,we discuss the therapeutic approaches targeting NF-κB signaling,including IKK inhibitors,monoclonal antibodies,proteasome inhibitors,nuclear translocation inhibitors,DNA binding inhibitors,TKls,non-coding RNAs,immunotherapy,and CAR-T.Finally,we provide an outlook for research in the field of NF-κB signaling.We hope to present a stereoscopic,comprehensive NF-κB signaling that will inform future research and clinical practice.

关键词： PI3K/AKT diseases involvement

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