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chinese Journal of Structural chemistry 2000年第1期19卷 6-10页

作者： ZHANG Tian Zhu a GE Li Qin b ZHANG de chun b ZHANG Yan Qiu b YU Kai bei c a(department of Preventive Medicine, Suzhou Medical college, Suzhou,215007) b(department of chemistry, Suzhou University, Suzhou,215006) c(chengdu Institute of Or 苏州医学院江苏苏州 2 1 50 0 7 苏州大学江苏苏州 2 1 50 0 6 中科院成都有机化学所四川成都 6 1 0 0 41

The crystal structure of the title compound c 15 H 16 NO 2 +·I - ( M r =369.19) has been determined by single crystal X ray diffraction analysis. The crystal belongs to the monoclinic system with space group P2 1/c, a=8.957(1), b=21.8117(2), c=7.8760(10), β=103.94(1)°, V=1493.8(3) 3, Z=4, D c= 1.642g/m 3, μ =2.141mm -1 , F (000)=728, final R =0.0264, and R w=0.0644(I>2σ(I)) for 2938 independent reflections. The results show that in the crystal structure of the title compound the planar cations have two configurations, and these cations are anti parallelly packed through the strong π…π interaction.

关键词： crystal structure stilbazonium salt engineering

An app to assist farmers in the identification of diseases and pests of coffee leaves using deep learning

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Information Processing in Agriculture 2022年第1期9卷 38-47页

作者： Jose G.M.Esgario Pedro b.c.de castro Lucas M.Tassis Renato A.Krohling LAbcIN-Nature Inspired computing Federal University of Espirito SantoAv.Fernando Ferrari514CEP 29075-910 VitoriaEspırito SantoESBrazil LAbcIN-Nature Inspired computing and PPGI-Graduate Program in Computer Scienceand Production Engineering DepartmentFederal University of Espirito SantoAv.Fernando Ferrari514CEP 29075-910 VitoriaEspırito SantoESBrazil

In recent years,deep learning methods have been introduced for segmentation and classi-fication of leaf lesions caused by pests and *** the commonly used approaches,convolutional neural networks have provided results with high *** purpose of this work is to present an effective and practical system capable of seg-menting and classifying different types of leaf lesions and estimating the severity of stress caused by biotic agents in coffee leaves using convolutional neural *** proposed approach consists of two stages:a semantic segmentation stage with severity calculation and a symptom lesion classification *** stage was tested separately,highlighting the positive and negative points of each *** obtained very good results for the severity estimation,suggesting that the model can estimate severity values very close to the real *** the biotic stress classification,the accuracy rates were greater than 97%.Due to the promising results obtained,an App for Android platform was developed and imple-mented,consisting of semantic segmentation and severity calculation,as well as symptom classification to assist both specialists and farmers to identify and quantify biotic stresses using images of coffee leaves acquired by smartphone.

关键词： convolutional neural networks Semantic segmentation coffee leaf Pests and diseases App.development

Atlas of precipitation extremes for South America and Africa based on depth-duration-frequency relationships in a stochastic weather generator dataset

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International Soil and Water conservation Research 2023年第4期11卷 726-742页

作者： Andrew Fullhart David c.Goodrich Menberu b.Meles Paulo Tarso S.Oliveira cristiano das Neves Almeida Joséc.de Araújo Shea burns Southwest Watershed Research center USDA-ARS 2000 E.Allen Rd.TucsonAZ85719United States Sustainable Agricultural Water Systems Unit USDA-ARS 239 Hopkins RoadDavisCA95616United States Faculty of Engineering Architecture and Urbanism and GeographyUniversidade Federal de Mato Grosso do SulCampo GrandeMS79070-900Brazil Water Resources and Environmental Engineering Laboratory Universidade Federal da ParaíbaJoao PessoaPB58051-900Brazil department of Agricultural Engineering campus do Pici Fortaleza Universidade Federal do CearáFortaleza60020-181Brazil

Information about extreme rainfall is lacking in regions of South America and *** study attempts to fill this scientific gap by use of a gridded parameterization for the stochastic weather generator,cLIGEN,to map depth-duration-frequency(DDF)*** of 500-year point-scale precipitation time series generated at each grid point allowed maps of return period precipitation to be produced for a se-lection of sixteen durations ranging from 10-min to 1-year and for nine return periods from 2 to 500 *** generalized extreme value(GEV)probability distribution was fitted for all durations,and given GEV quantiles,an interpolation method was applied to produce maps at 0.1° resolution that better resolve small-scale spatial climate *** addition to uncertainties related to GEV fitting,this study quantifies prediction intervals based on ground *** validation was important for identifying biases in cLIGEN,although uncertainties were not always satisfactorily defined due to sampling design and other *** daily/multi-day durations,100 stations with daily observations and ≥50-year records were selected for validation against the 0.1° cLIGEN map series,resulting in a median and average absolute error of 13%and 16%,*** sub-daily durations,prediction errors were larger *** analogy using available *** established the degree of bias in cUGEN for sub-daily durations,and three records in brazil with high temporal resolutions were used to confirm that applied bias adjustments resulted in error ranges similar to the daily/multi-day *** atlas is freely available for study of extreme precipitation.

关键词： Africa depth-duration-frequency Extreme precipitation South America

Hydrocarbon indication in Rio bonito Formation sandstone:Implication for cO_(2)storage in São Paulo,brazil

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Energy Geoscience 2024年第1期5卷 331-341页

作者： Richardson M.Abraham-A Haline V.Rocha Saulo b.de Oliveira colombo c.G.Tassinarri Orlando c.da Silva Institute of Energy and Environment University of São PauloSão PauloBrazil Research centre for Greenhouse Gas Innovation University of São PauloSão PauloBrazil

São Paulo State has witnessed cO_(2)storage-based investigations considering the availability of suitable geologic structures and proximity to primary cO_(2)source sinks related to bioenergy and carbon capture and storage(bEccS)*** current study presents the hydrocarbon viability evaluations and cO_(2)storage prospects,focusing on the sandstone units of the Rio bonito *** objective is to apply petrophysical evaluations with geochemical inputs in predicting future hydrocarbon(gas)production to boost cO_(2)storage within the study *** study used data from eleven wells with associated wireline logs(gamma ray,resistivity,density,neutron,and sonic)to predict potential hydrocarbon accumulation and fluid mobility in the investigated *** samples(shale and carbonate)obtained from depths>200 m within the study location have shown bitumen *** geochemistry data of the Rio bonito Formation shale beds suggest they are potential hydrocarbon source rocks and could have contributed to the gas accumulations within the sandstone *** drilled well data,e.g.,cb-1-SP and TI-1-SP,show hydrocarbon(gas)presence based on the typical resistivity and the combined neutron-density responses at depths up to 3400 m,indicating the possibility of other hydrocarbon members apart from the heavy oil(bitumen)observed from the near-surface rocks *** the three-dimensional(3-D)model,the free fluid indicator(FFI)is more significant towards the southwest and southeast of the area with deeper depths of occurrence,indicating portions with reasonable hydrocarbon recovery rates and good prospects for cO_(2)injection,circulation and permanent ***,future studies based on contemporary datasets are required to establish the hydrocarbon viability further,foster gas production events,and enhance cO_(2)storage possibilities within the region.

关键词： Paranábasin Hydrocarbon indication Sandstone reservoirs Rio bonito Formation cO_(2)storage Hydrocarbon recovery factor Fluid injection rate

black hole shadows in Einstein-bel-Robinson gravity

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chinese Physics c 2024年第5期48卷 272-283页

作者： b.Hamil b.c.Lütfüoğlu Laboratoire de Physique Mathématique et Subatomique Facultédes Sciences ExactesUniversitéConstantine 1ConstantineAlgeria department of Physics University of Hradec KrálovéRokitanského 6250003 Hradec KrálovéCzechia

Gravity models given by higher-order scalar curvature corrections are believed to bear important consequences. Einstein-bel-Robinson (EbR) gravity with quartic curvature modification motivated Sajadi et al. to explore static spherically symmetric black hole solutions using perturbative methods. In this study, inspired by their work, we investigate AdS black hole shadows in EbR gravity and demonstrate how the gravity parameter alters the energy emission rate. Finally, we address the same problem in the presence of plasma, because the black holes are thought to be surrounded by a medium that changes the geodesic of photons.

关键词： black hole shadows Einstein-bel-Robinson gravity plasma

Investigation of Ti6Al4V and AA7075 alloy embedded nanofluid flow over longitudinal porous fin in the presence of internal heat generation and convective condition

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communications in Theoretical Physics 2020年第2期72卷 23-29页

作者： G Sowmya b J Gireesha S Sindhu b c Prasannakumara department of PG Studies and Research in Mathematics Kuvempu UniversityShankaraghatta-577451KarnatakaIndia department of Mathematics Davangere UniversityDavangere-577002KarnatakaIndia

The thermal attributes of porous fin due to radiation and natural convection have been carried out in the presence of nanofluid *** geometry of the fin taken for the analysis is rectangular profiled longitudinal *** temperature-dependent internal heat generation condition is also considered along with Darcy’s *** two types of nanofluid containing titanium alloy(Ti6Al4V)and aluminium alloy(AA7075)immersed in water is considered for the *** modelled nonlinear ordinary differential equation is numerically solved by the Runge–Kutta–Fehlberg *** impact of geometric parameter on the heat transfer analysis of the fin due to the flow of both nanofluids is plotted and consequences are physically *** is observed that the presence of the water-based titanium alloy better enhances the fin heat transfer rate.

关键词： alloys nanofluid porous fin heat transfer analysis convective condition internal heat generation

High-throughput analysis of Fröhlich-type polaron models

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npj computational Materials 2023年第1期9卷 817-829页

作者： Pedro Miguel M.c.de Melo Joao c.de Abreu bogdan Guster Matteo Giantomassi Zeila Zanolli Xavier Gonze Matthieu J.Verstraete chemistry department Debye Institute for Nanomaterials Science and European Theoretical Spectroscopy FacilityCondensed Matter and InterfacesUtrecht UniversityPO Box 80.0003508 TA UtrechtThe Netherlands Nanomat/Q-MAT/cESAM and European Theoretical Spectroscopy Facility Universitéde LiègeB-4000 LiègeBelgium UcLouvain Institute of Condensed Matter and Nanosciences(IMCN)Chemin desÉtoiles 8B-1348 Louvain-la-NeuveBelgium

The electron–phonon interaction is central to condensed matter,*** electrical resistance,superconductivity or the formation of polarons,and has a strong impact on observables such as band gaps or optical *** most common framework for band energy corrections is the Fröhlich model,which often agrees qualitatively with experiments in polar materials,but has limits for complex cases.A generalized version includes anisotropic and degenerate electron bands,and multiple *** this work,we identify trends and outliers for the Fröhlich models on 1260 *** test the limits of the Fröhlich models and their perturbative treatment,in particular the large polaron *** our extended dataset most materials host perturbative large polarons,but there are many instances that are non-perturbative and/or localize on distances of a few bond *** find a variety of behaviors,and analyze extreme cases with huge zero-point renormalization using the first-principles Allen-Heine-cardona approach.

关键词： materials polaron correction

FASTER–RcNN for Skin burn Analysis and Tissue Regeneration

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computer Systems Science & Engineering 2022年第9期42卷 949-961页

作者： c.Pabitha b.Vanathi department of computer Science and Engineering SRM Valliammai Engineering CollegeChennai603203India

Skin is the largest body organ that is prone to the environment mostspecifically. Therefore the skin is susceptible to many damages, including burndamage. burns can endanger life and are linked to high morbidity and mortalityrates. Effective diagnosis with the help of accurate burn zone and wound depthevaluation is important for clinical efficacy. The following characteristics areassociated with the skin burn wound, such as healing, infection, painand stressand keloid formation. Tissue regeneration also takes a significant amount of timefor formation while considering skin healing after a burn injury. deep neural networks can automatically assist in the extraction of features from a burn image. Inour approach to burn wound analysis and regeneration of the tissue of the skinburn wound, we use the Faster RcNN (Regional convolutional Neural Network),which is based on their severity of the burn wound. The success rates of skin curefor burning injuries can be dramatically increased with the use of different skinreplacements. Our objective is to analyze different deep learning techniques thatmay help to analyze and classify burn wounds in a superficial, partial and complete thickness, while treating burn wounds more accurately. The application ofFaster RcNN effectively classifies wound without first degree, second and thirddegree confusion, thus providing a suitable solution to burning wounds. Theadvancement in the field of profound training offers an important path in the fieldof the processing and burning of trauma.

关键词： Faster R-cNN skin burn deep learning RPN computer vision

Research,Extension,and Good Farming Practices Improve Water Quality and Productivity

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Journal of Integrative Agriculture 2012年第1期11卷 14-30页

作者： clinton c Shock candace b Shock Oregon State University Malheur Experiment Station Scientific Ecological Services

Agriculture in southeastern Oregon and southwestern Idaho known collectively as the Treasure Valley has depended on furrow irrigation using heavy inputs of water and nitrogen （N） fertilizer. crop rotations include onion, corn, wheat, sugar beet, potato, bean, and other crops. by 1986 groundwater had become contaminated with nitrate and residues of the herbicide chlorthal-dimethyl （DcPA）; an official groundwater management area was established by the Oregon department of Environmental Quality along with an action plan and well monitoring network. The action plan allowed for a trial period to see whether voluntary changes would improve trends. Researchers, producers, and agencies cooperated to develop production options that had the possibility of being both environmentally protective and cost effective. Options were tested to improve irrigation practices, increase N fertilizer use efficiency on several rotation crops, and find a cost effective replacement for DcPA. Research demonstrated the opportunity for increased productivity through both irrigation scheduling and the adoption of drip and sprinkler systems. Fertilizer research demonstrated that smaller, more frequent N applications were more efficient than a single large application. Effective, lower cost herbicides replaced DcPA. Research results were effectively delivered through many means and voluntarily adopted. both groundwater nitrate and DcPA residues are declining. Productivity has increased.

关键词： DcPA drip irrigation groundwater nitrate irrigation management irrigation scheduling nutrient management voluntary cooperation

Petrogenesis of shoshonitic granitoids,eastern India:Implications for the late Grenvillian post-collisional magmatism

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Geoscience Frontiers 2014年第6期5卷 821-843页

作者： b.Goswami c.bhattacharyya department of Geology University of Calcutta35 Ballygunge Circular RoadKolkata 700 019India

Many elongated, lenticular plutons of porphyritic granitoids are distributed mainly near the southern and northern margin of the chhotanagpur Gneissic complex （cGc） which belongs to the EW to ENE-WSW tending 1500 km long Proterozoic orogenic belt amalgamat ng the North and South Indian cratonic blocks. The late Grenvillian （1071 ±64 Ma） Raghunathpur porphyritic granitoid gneiss （PGG） batholith comprising alkali feldspar granite, granite, granodiorite, tonalite, quartz syenite and quartz monzonite intruded into the granitoid gneisses of southeastern part of cGc in the Purulia district, West bengal and is aligned with ENE-WSW trending North Purulia sr^ear zone, Mineral chemistry, geochemistry, physical condition of crystallization and petrogenetic model of Raghunathpur PGG have been discussed for the first time. The petrographic and geochemical features （including major and trace- elements, mineral chemistry and S7Sr/S6Sr ratio） suggest these granitoids to be classified as the shosh- onitic type. Raghunathpur batholith was emplaced at around 800 ~c and at 6 kbar pressure tectonic discrimination diagrams reveal a post-collision tectonic setting while structural studies reveal its emplacement in the extensional fissure of North Purulia shear zone. l＇he Raghunathpur granitoid is compared with some similar granitoids of Europe and china to draw its petrogenetic model. Hybridi- zation of mantle-generated enriched mafic magma and crustal magma at lower crust and later fractional crystallization is proposed for the petrogenesis of this PGG. Mafic magma generated in a post-collisional extension possibly because of delamination of subducting slab. Raghunathpur batholith had emplaced in the cGc during the final amalgamation （~ 1.0 Ga） of the North and South Indian cratonic blocks. Granitoid magma, after its generation at depth, was transported to its present level along megadyke channel, ways within shear zones.

关键词： Granitoids Petrology Geochemistry Shoshonitic Post-collisiooal chhotanagpur Gneissic complex