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Essentials of athletic training 5th ed.

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Global Wheat Head detection Challenges:Winning Models and Application for Head Counting

2002年

作者： Arnheim daniel d.

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Plant Phenomics 2023年第3期5卷 460-473页

作者： Etienne david Franklin Ogidi daniel Smith Scott Chapman Benoit de Solan Wei Guo Frederic Baret Ian Stavness UMR 1114 EMMAH INRAEAvignonFrance Arvalis–Institut du Végétal ParisFrance department of Computer Science University of SaskatchewanSaskatoonCanada School of Food and Agricultural Sciences University of QueenslandBrisbaneAustralia Graduate School of Agricultural and Life Sciences The University of TokyoTokyoJapan

data competitions have become a popular approach to crowdsource new data analysis methods for general and specialized data science *** competitions have a rich history in plant phenotyping,and new outdoor field datasets have the potential to embrace solutions across research and commercial *** developed the Global Wheat Challenge as a generalization competition in 2020 and 2021 to find more robust solutions for wheat head detection using field images from different *** analyze the winning challenge solutions in terms of their robustness when applied to new *** found that the design of the competition had an influence on the selection of winning solutions and provide recommendations for future competitions to encourage the selection of more robust solutions.

关键词： Wheat specialized competition

Thermoluminescence characteristics and dosimetric aspects of fluoroperovskites (NaMgF_3:Eu^(2+),Ce^(3+))

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Journal of Rare Earths 2014年第6期32卷 496-500页

作者： d.Joseph daniel O.Annalakshmi U.Madhusoodanan P.Ramasamy Centre for Crystal Growth SSN College of Engineering Radiological Safety division Indira Gandhi Centre for Atomic Research

The perovskite-like NaMgF3 polycrystalline powder samples, pure and rare earth doped, were synthesized by conventional solid state reaction method. The perovskite material was doped with 0.2 mol.% of EuF3 and CeF3 impurity. Phase purity of synthe-sized compounds was analyzed by powder X-ray diffraction technique. The thermoluminescence response of polycrystalline samples showed a linear response up to 12 Gy and then became sub linear at higher doses. The order of kinetics （b）, activation energy （E） and other trapping parameters were calculated using peak shape method and variable heating rate method. From glow curve analysis the symmetric factor was calculated. The glow curve showed two peaks at 404 and 488 K, and both of them confirmed the thermolumi-nescence in the phosphor, which obeyed second-order kinetics. The experimental resulted showed that this phosphor could have po-tential applications in radiation dosimetry.

关键词： europium thermoluminescence kinetic parameters ionizing radiation rare earths

Prediction of pavement roughness using a hybrid gene expression programming-neural network technique

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Journal of Traffic and Transportation Engineering(English Edition) 2016年第5期3卷 448-455页

作者： Mehran Mazari daniel d.Rodriguez department of Civil Engineering California State University Los Angeles department of Civil Engineering The University of Texas at El Paso

Effective prediction of pavement performance is essential for transportation agencies to appropriately strategize maintenance, rehabilitation, and reconstruction of roads. One of the primary performance indicators is the international roughness index （IRI） which rep- resents the pavement roughness. Correlating the pavement roughness to other perfor- mance measures has been under continuous development in the past decade. However, the drawback of existing correlations is that most of them are not practical yet reliable for prediction of roughness. In this study a novel approach was developed to predict the IRI, utilizing two data sets extracted from long term pavement performance （LTPP） database. The proposed methodology included the application of a hybrid technique which combines the gene expression programming （GEP） and artificial neural network （ANN）. The developed algorithm showed reasonable performance for prediction of IRI using traffic parameters and structural properties of pavement. Furthermore, estimation of present IRI from his- torical data was evaluated through another set of LTPP data. The second prediction model also depicted a reasonable performance power. Further extension of the proposed models including different pavement types, traffic and environmental conditions would be desir- ab]e in future studies.

关键词： International roughness index PavementGene expression programming Artificial neural network Long term pavement performance

Empirical studies of escape behavior find mixed support for the race for life model

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Current Zoology 2022年第3期68卷 305-313页

作者： Kwasi WRENSFORd Jahaziel GUTIERREZ William E.COOPERJR daniel T.BLUMSTEIN department of Integrative Biology Museum of Vertebrate ZoologyUniversity of CaliforniaBerkeleyCA 94720USA The Rocky Mountain Biological Laboratory Crested ButteCO 81224USA department of Biology Indiana University Purdue University Fort WayneFort WayneIN 46805USA department of Ecology and Evolutionary Biology University of California6121 Young Drive SouthLos AngelesCA 90095-1606USA

Escape theory has been exceptionally successful in conceptualizing and accurately predicting effects of numerous factors that affect predation risk and explaining variation in flight initiation distance(FId;predator–prey distance when escape begins).Less explored is the relative orientation of an approaching predator,prey,and its eventual *** relationship between an approaching threat and its refuge can be expressed as an angle we call the“interpath angle”or“Φ,”which describes the angle between the paths of predator and prey to the prey’s refuge and thus expresses the degree to which prey must run toward an approaching *** general,we might expect that prey would escape at greater distances if they must flee toward a predator to reach its ***“race for life”model makes formal predictions about howΦshould affect *** evaluated the model by studying escape decisions in yellow-bellied marmots Marmota flaviventer,a species which flees to *** found support for some of the model’s predictions,yet the relationship betweenΦand FId was less *** may not assessΦin a continuous fashion;but we found that binning angle into 445°bins explained a similar amount of variation as models that analyzed angle *** studies ofΦ,especially those that focus on how different species perceive relative orientation,will likely enhance our understanding of its importance in flight decisions.

关键词： antipredator behavior escape behavior escape theory escape trajectory race for life model

deep learning long short-term memory combined with discrete element method for porosity prediction in gravel-bed rivers

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International Journal of Sediment Research 2023年第1期38卷 128-140页

作者： duong Tran Anh Ahad Hasan Tanim daniel Prakash Kushwaha Quoc Bao Pham Van Hieu Bui HUTECH University Center for River Harbor and Landslide Research Chittagong University of Engineering & Technology Govind Ballabh Pant University of Agriculture and Technology Institute of Applied Technology Thu Dau Mot University Faculty of Mechanical Engineering Thuyloi University

The porosity of gravel riverbed material often is an essential parameter to estimate the sediment transport rate, groundwater-river flow interaction, river ecosystem, and fluvial geomorphology. Current methods of porosity estimation are time-consuming in simulation. To evaluate the relation between porosity and grain size distribution(GSd), this study proposed a hybrid model of deep learning Long Short-Term Memory(LSTM) combined with the discrete Element Method(dEM). The dEM is applied to model the packing pattern of gravel-bed structure and fine sediment infiltration processes in threedimensional(3d) space. The combined approaches for porosity calculation enable the porosity to be determined through real time images, fast labeling to be applied, and validation to be done. dEM outputs based on the porosity dataset were utilized to develop the deep learning LSTM model for predicting bed porosity based on the GSd. The simulation results validated with the experimental data then segregated into 800 cross sections along the vertical direction of gravel pack. Two dEM packing cases, i.e., clogging and penetration are tested to predict the porosity. The LSTM model performance measures for porosity estimation along the z-direction are the coefficient of determination(R~2), root mean squared error(RMSE), and mean absolute error(MAE) with values of 0.99, 0.01, and 0.01 respectively, which is better than the values obtained for the Clogging case which are 0.71, 0.14, and 0.03, respectively. The use of the LSTM in combination with the dEM model yields satisfactory results in a less complex gravel pack dEM setup, suggesting that it could be a viable alternative to minimize the simulation time and provide a robust tool for gravel riverbed porosity prediction. The simulated results showed that the hybrid model of the LSTM combined with the dEM is reliable and accurate in porosity prediction in gravel-bed river test samples.

关键词： Numerical modeling discrete element method LSTM Bed porosity Gravel-bed river

do I need to see a urologist for my vasectomy?A comparison of practice patterns between urologists and family medicine physicians

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Asian Journal of Andrology 2019年第6期21卷 540-543页

作者： Natasza M Posielski daniel d Shapiro Xing Wang Brian V Le department of Urology University of WisconsinMadisonWl 53705USA department of Biostatistics University of WisconsinMadisonWl 53705USA.

Urologists perform the majority of vasectomies in the United States;however,family medicine physicians(FMPs)perform up to 35%.We hypothesized that d iff ere nces exist in practice patterns and outcomes between urologists and *** nts who underwent a vasectomy from 2010 to 2016 were *** semen analysis(PVSA)practices were compared between urologists and FMPs,before and after release of the 2012 AUA vasectomy *** 2010 to 2016,FMPs performed 1435(35.1%)of all *** follow-up rates were similar between the two groups(63.4%vs 64.8%,P=0.18).Of the patients with follow-up,the median number of PVSAs obtained was 1(range 1-6)in both groups(P=0.22).Following the release of guidelines,fewer urologists obtained multiple PVSAs(69.8%vs 28.9%pre-and post-2012,Pd a significant but lesser change in the use of multiple PVSAs(47.5%vs 38.4%,Pde appropriate changes in the timing of the first PVSA,but FMPs continued to obtain PVSAs before 8 weeks(15.0%vs 6.5%,Pd a higher rate of positive results in PVSAs obtained after 8 weeks,the earliest recommended by the AUA guidelines(4.1%vs 1.3%,Pdifferences in PVSA utilization between FMPs and urologists were identified and were impacted by the release of AUA guidelines in *** summary,FMPs obtained multiple PVSAs more frequently and continued to obtain PVSAs prior to the 8-week recommendation,suggesting less penetration of AUA guidelines to nonurology ***,FMPs had more positive results on PVSAs obtained within the recommended window.

关键词： evidence-based practice family practice semen analysis urologist vasectomy

氮密互作对弱筋小麦长麦8号产量和品质的影响

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安徽农业科学 2024年第5期52卷 23-27页

作者：杨竹周宾寒吴翠翠丁富功 Bimpong daniel 孙吉宋祯祯方正武张迎新王书平农业农村部长江中游作物绿色高效生产重点实验室(部省共建)/长江大学农学院湖北荆州434025

为研究弱筋小麦产量和品质协同提高的最佳施氮量和种植密度,以优质高产弱筋小麦长麦8号为试材,设计大田双因素裂区试验,设置120kg/hm^(2)(N1)、180kg/hm^(2)(N2)和300 kg/hm^(2)(N_(3))3个施氮水平以及180万株/hm^(2)(d1)、270万株/hm^(... 详细信息

为研究弱筋小麦产量和品质协同提高的最佳施氮量和种植密度,以优质高产弱筋小麦长麦8号为试材,设计大田双因素裂区试验,设置120kg/hm^(2)(N1)、180kg/hm^(2)(N2)和300 kg/hm^(2)(N_(3))3个施氮水平以及180万株/hm^(2)(d1)、270万株/hm^(2)(d2)和360万株/hm^(2)(d_(3))3个种植密度,分别调查氮密互作对小麦物候期、株高、穗长、穗数、穗粒数、千粒重及产量的影响,并系统分析氮密互作对籽粒蛋白质含量和湿面筋含量的影响。结果表明:种植密度和施氮量对弱筋小麦长麦8号的生长发育、产量及其构成因素、籽粒外观性状与品质性状均造成了不同程度的影响,在该条件下,实现长麦8号产量和品质协同提高的最适氮密组合为180kg/hm^(2)施氮量和360万株/hm^(2)种植密度。

关键词：弱筋小麦施氮量种植密度产量品质

Taenidium barretti ichnofabric and rainfall seasonality:Insights into dryland suites of Scoyenia ichnofacies

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Journal of Palaeogeography 2023年第1期12卷 28-49页

作者： diego Luciano Nascimento Renata Guimaraes Netto Alessandro Batezelli Francisco Sergio Bernardes Ladeira daniel Sedorko ICHNOS Research Group Geology Graduate ProgramUnisinos UniversityAv.Unisinos95010 Sao LeopoldoRS93022-750Brazil Campinas State University Geology and Natural Resources DepartmentZeferino Vaz University CityBarao GeraldoCampinasSP13083-970Brazil Laboratory of Pedology(LABPEd) Department of GeographyGeosciences InstituteGeosciencesState University of CampinasCampinasSP13083-855Brazil Museu Nacional Departamento de Geologia e PaleontologiaUniversidade Federal do Rio de Janeiro.Horto BotanicoParque Quinta da Boa VistaR.Gen.Herculano Gomes1340Sao CristovaoRio de JaneiroRJ20940-040Brazil

The present work analyzes the monotypic Taenidium barretti ichnofabric developed in abandoned channels and floodplains to understand its paleoecological significance in highly seasonal fluvial *** data come from the Cretaceous paleosols of the Marília Formation(Bauru Basin,SE Brazil),in which the *** ichnofabric and rhizoliths represent the biotic *** larvae are considered to be the most likely *** tracemakers in these *** intensity and recurrence of bioturbation suggest that the windows of opportunity for beetle population growth were very short and controlled by the progressive substrate desiccation after flood *** characteristics of the trace fossil assemblage suggest soil colonization by r-strategic organisms triggered by flooding events that provided the resource inputs necessary for their living during rainy *** results also show that in fluvial systems with high discharge variations,the boundaries between a“pre-desiccation suite”and a“desiccation suite”in the Scoyenia ichnofacies can be diffuse due to the short duration of colonization windows and progressive terrestrialization of floodplains and ***,the frequency of flooding events,the lowered water table,and the rapidity of substrate desiccation constrained colonization by other burrowers and may be considered as firstorder factors controlling the generation of a monotypic *** ***,the monotypic Taenidium ichnofabric in the Scoyenia ichnofacies context is an ichnomarker of brief windows for colonization in highly seasonal environments.

关键词： Ichnology Paleopedology Continental ichnofacies Meniscate burrows Ichnofabric