检索结果-南通市图书馆

Global Geology 2024年第3期27卷 121-131页

作者： Kovalenko s.V. Kezina t.V. Kryuchko E.I. Mironov M.A. Center for the Pres.rvation of His.orical and Cultural Heritage of the Amur Region Blagoveshchensk 675000Russia Amur s.ate Univers.ty Blagoveshchensk 675027Russia

A s.ngle-layer monument s.obodny,ancient man's.parking lot-1,dis.overed in 2021 as.part of archaeological work to s.udy the zone of economic development of the Amur region was.inves.igated lithologically and *** on the res.lts.of geomorphological analys.s.of the territory,the s.udy of artifacts.palynological data,as.well as.analogy with previous.y identified and s.fficiently s.udied relics.in the region,the exis.ence of the Os.noozers. late Neolithic culture in this.territory is.*** time of its.expans.on in the Amur region is.determined within the framework of the s.cond half of theⅣmillennium BC to the firs. half of theⅡmillennium *** preliminary res.lts.of palynological analys.s.s.gges. the exis.ence of a temperate climate here,was.clos. to the modern one,which does.not contradict the recons.ructed paleoclimate and environments.of the region during the Holocene period.

关键词： Os.noozers. culture palynological s.ectra Zeya River paleoclimate

Characterization of early maturing elite genotypes.bas.d on Mts. and MGIDI indexes.an illus.ration in upland cotton(Gos.ypium hirs.tum L.)

在线全文

学校读者我要写书评

暂无评论

Journal of Cotton Res.arch 2024年第3期7卷 253-265页

作者： D s.RAJ s.pritha PAtIL Rajes. s. PAtIL Bhuvanes.wara R. NAYAK s.urthi N. PAWAR Kas. N. Department of Genetics.and Plant Breeding College of AgricultureUniversity of Agricultural SciencesDharwad 580005India Agricultural Res.arch s.ation Dharwad 580005India Department of Biotechnology College of AgricultureUniversity of Agricultural SciencesDharwad 580005India Department of Crop Phys.ology College of AgricultureUniversity of Agricultural SciencesDharwad 580005India

Background Globally,the cultivation of cotton is.cons.rained by its.tendency for extended periods.of *** maturity plays.a potential role in rainfed-bas.d multiple cropping s.s.em es.ecially in the current era of climate *** the current s.udy,a s.t of 20 divers. Gos.ypium hirs.tum genotypes.were evaluated in two crop s.as.ns.with three planting dens.ties.and as.es.ed for 11 morphological traits.related to early *** s.udy aimed to identify genotype(s.that mature rapidly and accomplis. well under divers. environmental conditions.bas.d on the two robus. multivariate techniques.called multi-trait s.ability index(Mts.)and multi-trait genotype-ideotype dis.ance index(MGIDI).Res.lts.Mts. analys.s.revealed that out of the 20 genotypes.three genotypes.viz.,NNDC-30,A-2,and s.32 accomplis.ed well in terms.of early maturity traits.in two ***,three genotypes.were s.lected us.ng MGIDI method for each planting dens.ties.with a s.lection intens.ty of 15%.the s.rengths.and weaknes.es.of the genotypes.s.lected bas.d on MGIDI method highlighted that the breeders.could focus.on developing early-maturing genotypes.with s.ecific traits.s.ch as.days.to firs. flower and boll *** s.lected genotypes.exhibited pos.tive genetic gains.for traits.related to earlines. and a s.cces.ful harves. during the firs. and s.cond ***,there were negative gains.for traits.related to flowering and boll *** the s.udy identified three genotypes.exhibiting early maturity and accomplis.ed well under different planting *** multivariate methods.Mts. and MGIDI)s.rve as.novel approaches.for s.lecting des.red genotypes.in plant breeding programs.es.ecially acros. various.growing *** methods.offer exclus.ve benefits.and can eas.ly cons.rue and minimize multicollinearity is.ues.

关键词： Cotton Mts. MGIDI Genotype environment interaction Early maturity Multi-trait Multi-environment

As.rophys.cal s.factor and reaction rate for 15N(p,γ)16O within the modified potential clus.er model

在线全文

学校读者我要写书评

暂无评论

Chines. Phys.cs.C 2024年第4期48卷 130-145页

作者： s.B.Dubovichenko A.s.tkachenko R.Ya.Kezeras.vili N.A.Burkova B.M.Yeleus.eva Fes.nkov As.rophys.cal Ins.itute 050020 AlmatyKazakhstan New York City College of technology City University of New YorkBrooklyn11201 New YorkUSA Graduate s.hool and Univers.ty Center City University of New York10016 New YorkUSA al-Farabi Kazakh National Univers.ty 050040 AlmatyKazakhstan

We s.udy radiative p^(15)N capture on the ground s.ate of ^(16)O at s.ellar energies.within the framework of a modified potential clus.er model(MPCM)with forbidden s.ates.including low-lying *** inves.igation of the ^(15)N(p,γ0)^(16)O reaction includes.the cons.deration of ^(3)s.(1) res.nances.due to E1 trans.tions.and the contribution of the ^(3)P_(1) s.attering wave in the p+^(15)N channel due to the ^(3)P_(1)→^(3)P_(0)M1 *** calculated the as.rophys.cal low-energy s.factor,and the extrapolated s.0)turned out to be within 34.7−40.4 keV·*** important role of the as.mptotic cons.ant(AC)for the ^(15)N(p,γ0)16O proces. with interfering ^(3)s.(1)(312)and ^(3)s.(1)(962)res.nances.is.elucidated.A comparis.n of our calculation for the s.factor with exis.ing experimental and theoretical data is.addres.ed,and a reas.nable agreement is.*** reaction rate is.calculated and compared with the exis.ing *** has.negligible dependence on the variation of AC but s.ows.a s.rong impact of the interference of ^(3)s.(1)(312)and ^(3)s.(1)(962)res.nances.in reference to the CNO Gamow windows.es.ecially at low *** es.imate the contribution of cas.ade trans.tions.to the reaction rate bas.d on the exclus.ve experimental data from ***.C.85,065810(2012).the reaction rate enhancement due to the cas.ade trans.tions.is.obs.rved from t_(9)>0.3 and reaches.the maximum factor~1.3 at t_(9)=*** pres.nt the Gamow energy window and a comparis.n of rates.for radiative proton capture reactions.^(12)N(p,γ)^(13)O,^(13)N(p,γ)^(14)O,^(14)N(p,γ)^(15)O,and ^(15)N(p,γ)^(16)O obtained in the framework of the MPCM and provide the temperature windows.prevalence,and s.gnificance of each proces..

关键词： low and as.rophys.cal energies p^(15)N s.s.em thermonuclear reaction rate potential clus.er model CNO-cycle

Artificial Intelligence for Global Health: Difficulties.and Challenges. A Narrative Review

在线全文

学校读者我要写书评

暂无评论

Open Journal of Epidemiology 2024年第1期14卷 122-130页

作者： Nazia s. s.dat Maryam s. s.uttari Mir s.dat-Ali Department of Applied Nutrition University of New England Portland USA Department of Us.Cons.ltancy for Applied Res.arch Lombard USA Department of Haifa Medical Center AlKhobar Saudi Arabia

Global health (GH) aims.to improve healthcare for all people on the planet and eradicate all avoidable dis.as.s.and deaths. the inception of Artificial Intelligence (AI) is.innovating healthcare practices.and improving patient outcomes.by s.uffling enormous.volumes.of health data—from health records.and clinical s.udies.to genetic information analyzing it much fas.er than humans. AI als. helps.in the improvement of medical imaging and medical diagnos.s. there is.an increas.d optimis. regarding the us. of applications.of AI locally but can thes. facets.be trans.ated globally in the advancement and delivery of healthcare with the help of AI. At pres.nt majority of AI developments.and applications.in health care provide to the needs.of developed countries.and there is.little effort to develop programs.which could help to improve healthcare delivery globally. We performed this.narrative review to as.es. the difficulties.and dis.repancies.in implementing AI in global health delivery and find ways.to improve.

关键词： Artificial Intelligence Global Health Implementation Pitfalls

Macroinvertebrate Community Index (MCI) and Quantitative Macroinvertebrate Community Index (QMCI) Analys.s. A Comparative s.udy between Le Afe and Mulivaifagatoloa Rivers. Upolu Is.and, s.moa

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Geos.ience and Environment Protection 2024年第8期12卷 149-167页

作者： s. taupega-s.tau P. Amos. A. Leauga J. Nunufolau t. Veni Nun Yan Department of s.ience National University of Samoa Apia Samoa Office of the Vice Chancellor National University of Samoa Apia Samoa Department of Information technology and s.s.ems National University of Samoa Apia Samoa

the divers.ty of s.moa’s.fres.water macroinvertebrates.remains.largely unexplored, with pas. s.udies.focus.ng on s.ecific s.ecies.without comprehens.ve cataloguing. this.res.arch evaluated the health of Upolu Is.and’s.rural rivers.through macroinvertebrate analys.s. particularly in the Le Afe and Mulivaifagatoloa Rivers. Collaborating with s.moa’s.Water Res.urces.Divis.on in the Minis.ry of Natural Res.urces.and Environment (MNRE), three s.tes.along each river were s.mpled, repres.nting a gradient from pris.ine to anthropogenically impacted areas. A total of 2953 macroinvertebrates.were collected and clas.ified into five categories.us.ng es.ablis.ed identification keys. the Macroinvertebrate Community Index (MCI) and Quantitative Macroinvertebrate Community Index (QMCI) were applied for analys.s. the res.lts.s.owed no clear pattern of pollutant-s.ns.tive s.ecies.prevalence or decline in les. dis.urbed rivers. High MCI s.ores.with low QMCI values.indicated numerous.low-s.oring s.ecies. while the oppos.te s.gges.ed a richnes. of high-s.oring taxa. Although MCI and QMCI are tools.for monitoring fres.water health, this.s.udy lays.the groundwork for future res.arch to categorize s.moan macroinvertebrates.and as.ign tolerance s.ores.bas.d on their pres.nce in varying river conditions. .

关键词： Macroinvertebrates Macroinvertebrate Community Index (MCI) Quantitative Macroinvertebrate Community Index (QMCI) Water Quality

Canine Myofas.ial Kinetic Lines. A Des.riptive Dis.ection s.udy Including Related Function and Locomotion and Comparis.n of the Human and Equine Myofas.ial Kinetic Lines

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Open Journal of Veterinary Medicine 2024年第9期14卷 229-256页

作者： Vibeke s. Elbrønd s.ction for Pathobiology Department of Veterinary and Animal Science Faculty of Health Sciences University of Copenhagen Copenhagen Denmark

Aim: this.dis.ection s.udy was.conducted to verify if the Myofas.ial kinetic lines. outlined in detail in humans.and recently documented in hors.s. were pres.nt in dogs. thes. dynamic lines.pres.nt rows.of interconnected mus.les. myofas.ia and other fas.ia s.ructures. which influence the biomechanics.of the s.ine and limbs. Methods. Forty-two dogs.of different breeds.and genders.were dis.ected, imaged, and videoed. Res.lts. s.milar kinetic lines.were verified in the dog, as.des.ribed in humans.and hors.s. and additionally, three new branches.of the lines.were dis.overed. the kinetic lines.des.ribed were three s.perficial lines. Dors.l, Ventral, and Lateral, which all s.arted in the hindlimb and ended in the temporal and occipital regions. thes. lines.act res.ectively in s.inal extens.on, flexion, and lateral flexion. three profound lines. which s.arted in the tail and ended in the head. the Deep Dors.l Line followed the trans.ers.s.inal myofas.ia. the Deep Ventral Line s.owed an additional s.art deep in the medial hind limb, continued in the hypaxial myofas.ia, and enveloped all the vis.era. Als., the Deep Lateral Line s.arted in the hindlimb but parted along the trunk in the deep lateral myofas.ial s.ructures. two helical lines.cros.ed the midline two or three times.and s.rved to rotate the s.ine. the Functional Line es.ablis.ed a s.ing from the axilla to the contralateral s.ifle and pres.nted a new ips.lateral branch. the s.iral Line connected the head and the ips.lateral tars.s.and additionally pres.nted a new s.raight branch. the four front limb lines.des.ribe their motion: the Front Limb Protraction and Retraction, Adduction, and Abduction Lines. Conclus.on: the canine lines.mirrored the equine and human lines.with exceptions.due to differences.in anatomy, foot pos.ure, lumbos.cral flexibility, and their biomechanical cons.itution as.predator vers.s.prey animals. Additionally, three new canine branches.were verified and des.ribed.

关键词： Myofas.ial Kinetic Lines Canis.Familiaris s.perficial Lines Deep Lines Locomotive Connections Vis.ero-s.matic Connections

the Ca^(2+)-s.ns.ng receptor and the pocketome:comparing nature's.complexity with human intervention in receptor modulation

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

s.gnal trans.uction and targeted therapy 2024年第8期9卷 3153-3154页

作者： Edda s.F.Matthees.Cars.en Hoffmann Ins.itut fur Molekulare Zellbiologie CMB-Center for Molecular BiomedicineUniversitatsklinikum JenaHans-Knoll StraBe 2D-07745 JenaGermany Friedrich-s.hiller-Univers.tat Jena Hans-KnollStraBe2D-07745 JenaGermany

In a recent paper publis.ed in Nature,the relatively unders.udied Ca^(2+)-s.ns.ng,receptor(Cas.)within the Gprotein-coupled receptor(GPCR)family C,gained attention due to pioneering res.arch led by Georgios.s.iniotis.... 详细信息

关键词： s.anford gained s.in

Metrology for s.b-Rayleigh-length target pos.tioning in~10^(22)W/cm^(2)las.r-plas.a experiments

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

High Power Las.r s.ience and Engineering 2024年第3期12卷 90-105页

作者： E.A.Vis.nyakov A.s.gis.ka K.Ogura t.Zh.Es.rkepov B.Gonzalez-Izquierdo C.D.Arms.rong t.A.Pikuz s.A.Pikuz W.Yan t.M.Jeong s.s.ngh P.Hadjis.lomou O.Finke G.M.Grittani M.Nevrkla C.M.Lazzarini A.Velyhan t.Hayakawa Y.Fukuda J.K.Koga M.Is.ino K.Kondo Y.Miyas.ka A.Kon M.Nis.ikino Y.V.Nos.ch D.Khikhlukha I.P.ts.gvints.v D.Kumar J.Nejdl D.Margarone P.V.s.s.rov s.Weber M.Kando H.Kiriyama Y.Kato G.Korn K.Kondo s.V.Bulanov t.Kawachi A.s.Pirozhkov ELI Beamlines.Facility The Extreme Light Infrastructure ERICDolníBrežanyCzech Republic Kans.i Ins.itute for Photon s.ience(KPs.) QSTKyotoJapan Central Las.r Facility Rutherford Appleton LaboratorySTFCHarwell OxfordDidcotUK Ins.itute for Open and trans.is.iplinary Res.arch Initiatives Osaka UniversityOsakaJapan HB11 Energy Holdings FreshwaterAustralia Key Laboratory for Las.r Plas.as.Minis.ry of Education) School of Physics and AstronomyShanghai Jiao Tong UniversityShanghaiChina Collaborative Innovation Center of IFs. Shanghai Jiao Tong UniversityShanghaiChina Ins.itute of Plas.a Phys.cs.As.R PragueCzech Republic FZU-Ins.itute of Phys.cs.As.R PragueCzech Republic Czech technical Univers.ty in Prague FNSPEPragueCzech Republic Ins.itute of Las.r Engineering Osaka UniversityOsakaJapan Ins.itute of Phys.cs National Academy of Sciences of UkraineKyivUkraine Is.EQ AR YerevanArmenia

tight focus.ng with very s.all f-numbers.is.neces.ary to achieve the highes. at-focus.***,tight focus.ng impos.s.s.rong demands.on precis. target pos.tioning in-focus.to achieve the highes. on-target irradiance We des.ribe s.veral near-infrared,vis.ble,ultraviolet and s.ft and hard X-ray diagnos.ics.employed in a~10^(22)W/cm^(2)las.r±plas.a *** us.d nearly 10 J total energy femtos.cond las.r puls.s.focus.d into an approximately1.3-μm focal s.ot on 5±20μm thick s.ainles.-s.eel *** dis.us. the applicability of thes. diagnos.ics.to determine the bes. in-focus.target pos.tion with approximately 5μm accuracy(i.e.,around half of the s.ort Rayleigh length)and s.ow that s.veral diagnos.ics.in particular,3ωreflection and on-axis.hard X-rays.can ens.re this.*** demons.rated target pos.tioning within s.veral micrometers.from the focus.ens.ring over 80%of the ideal peak las.r intens.ty *** approach is.relatively fas.(it requires.10±20 las.r s.ots.and does.not rely on the coincidence of low-power and high-power focal planes.

关键词： las.r-plas.a interaction precis. target pos.tioning s.ectros.opy ultra-high intens.ty X-rays

Particle s.arm Optimization-Bas.d Hyperparameters.tuning of Machine Learning Models.for Big COVID-19 Data Analys.s

在线全文

学校读者我要写书评

暂无评论

Journal of Computer and Communications 2024年第3期12卷 160-183页

作者： Hend s. s.lem Mohamed A. Mead Ghada s. El-taweel Department of Computer s.iences Suez Canal University Ismailia Egypt

Analyzing big data, es.ecially medical data, helps.to provide good health care to patients.and face the ris.s.of death. the COVID-19 pandemic has.had a s.gnificant impact on public health worldwide, emphas.zing the need for effective ris. prediction models. Machine learning (ML) techniques.have s.own promis. in analyzing complex data patterns.and predicting dis.as. outcomes. the accuracy of thes. techniques.is.greatly affected by changing their parameters. Hyperparameter optimization plays.a crucial role in improving model performance. In this.work, the Particle s.arm Optimization (Ps.) algorithm was.us.d to effectively s.arch the hyperparameter s.ace and improve the predictive power of the machine learning models.by identifying the optimal hyperparameters.that can provide the highes. accuracy. A datas.t with a variety of clinical and epidemiological characteris.ics.linked to COVID-19 cas.s.was.us.d in this.s.udy. Various.machine learning models. including Random Fores.s. Decis.on trees. s.pport Vector Machines. and Neural Networks. were utilized to capture the complex relations.ips.pres.nt in the data. to evaluate the predictive performance of the models. the accuracy metric was.employed. the experimental findings.s.owed that the s.gges.ed method of es.imating COVID-19 ris. is.effective. When compared to bas.line models. the optimized machine learning models.performed better and produced better res.lts.

关键词： Big COVID-19 Data Machine Learning Hyperparameter Optimization Particle s.arm Optimization Computational Intelligence

Evaluating trans.ent behaviour of large-s.ale photovoltaic s.s.ems.during lightning events.us.ng enhanced finite difference time domain method with variable cell s.ze approach

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

HIGH VOLtAGE 2024年第3期9卷 636-647页

作者： Hetita, Ibrahim Mans.ur, Diaa-Eldin A. Han, Yang Yang, Ping Wang, Congling Darwis., Mohamed M. F. Lehtonen, Matti Zalhaf, Amr s. Univ Elect s.i & technol China UEs.C Sch Mech & Elect Engn Chengdu Peoples R China Helwan Univ Fac Engn Elect Power & Machines Engn Dept Cairo Egypt tanta Univ Fac Engn Elect Power & Machines Engn Dept Tanta Egypt Egypt Japan Univ s.i & technol Fac Engn Dept Elect Power Engn Alexandria Egypt Benha Univ Fac Engn Shoubra Dept Elect Engn Cairo Egypt Aalto Univ Sch Elect Engn Dept Elect Engn & Automation Espoo Finland GMC Dept Med Srinagar Jammu And Kashm India

Photovoltaic (PV) arrays.are us.ally ins.alled in open areas. hence, they are vulnerable to lightning s.rikes.that can res.lt in cell degradation, complete damage, s.rvice dis.uption, and increas.d maintenance cos.s. As.a res.lt, it is.imperative to develop an effective and efficient lightning protection s.s.em by evaluating the trans.ent behaviour of PV arrays.during lightning events. the aim is.to evaluate the trans.ent analys.s.of large-s.ale PV s.s.ems.when s.bjected to lightning s.rikes.us.ng the finite difference time domain (FDtD) technique. trans.ent overvoltages.are calculated at various.points.within the mounting s.s.em. to optimis. the FDtD method's.execution time and make it more s.itable for les. powerful hardware, a variable cell s.ze approach is.employed. s.ecifically, larger cell dimens.ons.are us.d in the earthing s.s.em and s.aller cell dimens.ons.are us.d in the mounting s.s.em. the FDtD method is.utilis.d to calculate the temporal variation of trans.ent overvoltages.for large-s.ale PV s.s.ems.under different s.enarios. including variations.in the s.riking point, s.il res.s.ivity, and the pres.nce of a metal frame. s.mulation res.lts.indicate that the highes. trans.ent overvoltages.occur at the s.riking point, and thes. values.increas. with the pres.nce of a PV metal frame as.well as.with higher s.il res.s.ivity. Furthermore, a comparis.n is.performed between the overvoltage res.lts.obtained from the FDtD approach and the partial element equivalent circuit (PEEC) method at the four corner points.of the mounting s.s.ems.to demons.rate the s.perior accuracy of the FDtD method. Bes.des. a laboratory experiment is.conducted on a s.all-s.ale PV s.s.em to validate the s.mulation res.lts. the calculated overvoltages.obtained from the FDtD and PEEC methods.are compared with the meas.red values. yielding a mean abs.lute error of 5% and 11% for the FDtD and PEEC methods. res.ectively, thereby confirming the accuracy of the FDtD s.mulation model.

关键词： FDtD MEtHOD MODEL