检索结果-南通市图书馆

Advancements in Liver Tumor detection:A Comprehensive Review of various deep Learning Models

在线全文

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2025年第1期142卷 91-122页

作者： Shanmugasundaram Hariharan d.Anandan Murugaperumal Krishnamoorthy vinay Kukreja Nitin Goyal Shih-Yu Chen deptartment of Artificial Intelligence and data Science Vardhaman College of EngineeringHyderabad501218India deptartment of CSE V.S.B College of EngineeringKarur639111India deptartment of Electrical and Electronics Engineering Vardhaman College of EngineeringHyderabad501218India Centre for Research Impact&Outcome Chitkara UniversityRajpura140401PunjabIndia department of Computer Science and Engineering School of Engineering and TechnologyCentral University of HaryanaMahendergarh123031HaryanaIndia department of Computer Science and Information Engineering National Yunlin University of Science and TechnologyYunlin64002Taiwan Intelligence Recognition Industry Service Research Center National Yunlin University of Science and TechnologyYunlin64002Taiwan

Liver cancer remains a leading cause of mortality worldwide,and precise diagnostic tools are essential for effective treatment *** Tumors(LTs)vary significantly in size,shape,and location,and can present with tissues of similar intensities,making automatically segmenting and classifying LTs from abdominal tomography images crucial and *** review examines recent advancements in Liver Segmentation(LS)and Tumor Segmentation(TS)algorithms,highlighting their strengths and limitations regarding precision,automation,and *** metrics are utilized to assess key detection algorithms and analytical methods,emphasizing their effectiveness and relevance in clinical *** review also addresses ongoing challenges in liver tumor segmentation and identification,such as managing high variability in patient data and ensuring robustness across different imaging *** suggests directions for future research,with insights into technological advancements that can enhance surgical planning and diagnostic accuracy by comparing popular *** paper contributes to a comprehensive understanding of current liver tumor detection techniques,provides a roadmap for future innovations,and improves diagnostic and therapeutic outcomes for liver cancer by integrating recent progress with remaining challenges.

关键词： Liver tumor detection liver tumor segmentation image processing liver tumor diagnosis feature extraction tumor classification deep learning machine learning

dendritic spine degeneration:a primary mechanism in the aging process

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Neural Regeneration Research 2025年第6期20卷 1696-1698页

作者： Gonzalo Flores Leonardo Aguilar-Hernández Fernado García-dolores Humberto Nicolini Andrea Judith vázquez-Hernández Hiram Tendilla-beltrán Instituto de Fisiología Benemérita Universidad Autónoma de Puebla(BUAP)PueblaMexico Instituto de Ciencias Forenses(INCIFO) Tribunal Superior de Justicia de la Ciudad de México(TSJCDMX).Mexico CityMexico Instituto Nacional de Medicina Genómica(INMEGEN) Mexico CityMexico

Recent reports suggest that aging is not solely a physiological process in living beings;instead, it should be considered a pathological process or disease(Amorim et al., 2022). Consequently, this process involves a wide range of factors, spanning from genetic to environmental factors, and even includes the gut microbiome(GM)(Mayer et al., 2022). All these processes coincide at some point in the inflammatory process, oxidative stress, and apoptosis, at different degrees in various organs and systems that constitute a living organism(Mayer et al., 2022;AguilarHernández et al., 2023).

关键词： aging process stress

Influence of quasi-electrostatic support on amplification of space charge waves in amplification section of a superheterodyne free electron laser

在线全文

学校读者我要写书评

暂无评论

Chinese Physics b 2025年第1期34卷 308-313页

作者： A.v.Lysenko S.S.Ilin Sumy State University 116Kharkivska st.40007 SumyUkraine

A theoretical study of the influence of a quasi-electrostatic support on the amplification level of the slow space charge wave(SCW) in the amplification section of a superheterodyne free electron laser(FEL) was carried out. One of the ways to significantly increase the saturation level of the slow SCW is maintaining the conditions of a three-wave parametric resonance between the slow, fast SCWs and the resulting pump electric field. This can be done by introducing the quasielectrostatic support in the superheterodyne FEL amplification section. Also, it was found that the generated pump electric field significantly influences the maintenance of parametric resonance conditions. As a result, this increases the saturation level of the slow SCW by 70%. Finally, the quasi-electrostatic support significantly reduces the maximum value of the electrostatic undulator pump field strength, which is necessary to achieve the maximum saturation level of the slow SCW.

关键词： superheterodyne free-electron lasers space charge waves electrostatic undulator quasielectrostatic support

Lanthanum(Ⅲ) sorption studies on poly[dibenzo-18-crown-6] and its separation from uranium(Ⅵ) and thorium(Ⅳ) in L-valine medium

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 Rare Earths 2009年第5期27卷 825-829页

作者： S.R.Sabale d.v.Jadhav b.S.Mohite Analytical and Environmental Research Lab Department of ChemistryShivaji University

The sorption study of La(Ⅲ) was carried out on poly[dibenzo-18-crown-6] and L-valine medium. The quantitative adsorption of La(Ⅲ) was found at 1×10-2 to 1×10-5 mol/L L-valine. The various eluting agents were found efficient eluents for La(Ⅲ). The capacity of crown polymer for La(Ⅲ) was found to be 0.43 ±0.01 mmol/g. The tolerance limit of various cations and anions for La(Ⅲ) was determined. La(Ⅲ) was quantitatively separated from other metal ions in binary as well as multicomponent mixtures. The study was extended to sequential separation of La(Ⅲ), U(vI) and Th(Iv). The good separation yields were obtained and had good reproducibility (±2%). The method incorporated the determination of La(Ⅲ) in real sample. The method was simple, rapid and selective.

关键词： La(Ⅲ) L-valine poly[dibenzo-18-crown-6] sorption separation rare earths

Rethinking the solar flare paradigm

在线全文

学校读者我要写书评

暂无评论

Plasma Science and Technology 2018年第7期20卷 15-21页

作者： d b melrose SIfA School of PhysicsThe University of SydneyNSW 2006Australi

It is widely accepted that solar flares involve release of magnetic energy stored in the solar corona above an active region, but existing models do not include the explicitly time-dependent electrodynamics needed to describe such energy release. A flare paradigm is discussed that includes the electromotive force （EMF） as the driver of the flare, and the flare-associated current that links different regions where magnetic reconnection, electron acceleration, the acceleration of mass motions and current closure occur. The EMF becomes localized across regions where energy conversion occurs, and is involved in energy propagation between these regions.

关键词： solar flares electrodynamics time-dependence

deep view of composite SNR CTA1 with LHAASO in γ-rays up to 300 Tev

在线全文

学校读者我要写书评

暂无评论

Science China(Physics,Mechanics & Astronomy) 2025年

作者： Zhen Cao F.Aharonian Axikegu Y.X.bai Y.W.bao d.bastieri X.J.bi Y.J.bi W.bian A.v.bukevich Q.Cao W.Y.Cao Zhe Cao J.Chang J.F.Chang A.M.Chen E.S.Chen H.X.Chen Liang Chen Lin Chen Long Chen M.J.Chen M.L.Chen Q.H.Chen S.Chen S.H.Chen S.Z.Chen T.L.Chen Y.Chen N.Cheng Y.d.Cheng M.C.Chu M.Y.Cui S.W.Cui X.H.Cui Y.d.Cui b.Z.dai H.L.dai Z.G.dai danzengluobu X.Q.dong K.K.duan J.H.Fan Y.Z.Fan J.Fang J.H.Fang K.Fang C.F.Feng H.Feng L.Feng S.H.Feng X.T.Feng Y.Feng Y.L.Feng S.Gabici b.Gao C.d.Gao Q.Gao W.Gao W.K.Gao M.M.Ge T.T.Ge L.S.Geng G.Giacinti G.H.Gong Q.b.Gou M.H.Gu F.L.Guo J.Guo X.L.Guo Y.Q.Guo Y.Y.Guo Y.A.Han O.A.Hannuksela M.Hasan H.H.He H.N.He J.Y.He Y.He Y.K.Hor b.W.Hou C.Hou X.Hou H.b.Hu Q.Hu S.C.Hu C.Huang d.H.Huang T.Q.Huang W.J.Huang X.T.Huang X.Y.Huang Y.Huang Y.Y.Huang X.L.Ji H.Y.Jia K.Jia H.b.Jiang K.Jiang X.W.Jiang Z.J.Jiang M.Jin M.M.Kang I.Karpikov d.Khangulyan d.Kuleshov K.Kurinov b.b.Li C.M.Li Cheng Li Cong Li d.Li F.Li H.b.Li H.C.Li Jian Li Jie Li K.Li S.d.Li W.L.Li W.L.Li X.R.Li Xin Li Y.Z.Li Zhe Li Zhuo Li E.W.Liang Y.F.Liang S.J.Lin b.Liu C.Liu d.Liu d.b.Liu H.Liu H.d.Liu J.Liu J.L.Liu M.Y.Liu R.Y.Liu S.M.Liu W.Liu Y.Liu Y.N.Liu Q.Luo Y.Luo H.K.Lv b.Q.Ma L.L.Ma X.H.Ma J.R.Mao Z.Min W.Mitthumsiri H.J.Mu Y.C.Nan A.Neronov K.C.Y.Ng L.J.Ou P.Pattarakijwanich Z.Y.Pei J.C.Qi M.Y.Qi b.Q.Qiao J.J.Qin A.Raza d.Ruffolo A.Sáiz M.Saeed d.Semikoz L.Shao O.Shchegolev X.d.Sheng F.W.Shu H.C.Song Yu.v.Stenkin v.Stepanov Y.Su d.X.Sun Q.N.Sun X.N.Sun Z.b.Sun J.Takata P.H.T.Tam Q.W.Tang R.Tang Z.b.Tang W.W.Tian L.H.Wan C.Wang C.b.Wang G.W.Wang H.G.Wang H.H.Wang J.C.Wang Kai Wang Kai Wang L.P.Wang L.Y.Wang P.H.Wang R.Wang W.Wang X.G.Wang X.Y.Wang Y.Wang Y.d.Wang Y.J.Wang Z.H.Wang Z.X.Wang Zhen Wang Zheng Wang d.M.Wei J.J.Wei Y.J.Wei T.Wen C.Y.Wu H.R.Wu Q.W.Wu S.Wu X.F.Wu Y.S.Wu S.Q.Xi J.Xia G.M.Xiang d.X.Xiao G.Xiao Y.L.Xin Y.Xing d.R.Xiong Z.Xiong d.L.Xu R.F.Xu R.X.Xu W.L.Xu L.Xue d.H.Yan J.Z.Yan T.Yan C.W.Yang C.Y.Yang F.Yang F.F.Yang L.L.Yang M.J.Yang R.Z.Yang W.X.Yang Y.H.Yao Z.G.Yao L.Q.Yin N.Yin X.H.You Z.Y.You Y.H Southwest Jiaotong University School of Astronomy and Space Science Nanjing University Center for Astrophysics Guangzhou University Tsung-dao Lee Institute & School of Physics and Astronomy Shanghai Jiao Tong University Institute for Nuclear Research of Russian Academy of Sciences Hebei Normal University University of Science and Technology of China LHAASO Collaboration State Key Laboratory of Particle detection and Electronics Key Laboratory of dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy Purple Mountain Observatory Chinese Academy of Sciences Research Center for Astronomical Computing Zhejiang Laboratory Key Laboratory for Research in Galaxies and Cosmology Shanghai Astronomical Observatory Chinese Academy of Sciences School of Physics and Astronomy Key Laboratory of Particle Astrophysics & Experimental Physics division & Computing Center Yunnan University Key Laboratory of Cosmic Rays (Tibet University) Ministry of Education department of Physics The Chinese University of Hong Kong Key Laboratory of Radio Astronomy and Technology National Astronomical Observatories Chinese Academy of Sciences School of Physics and Astronomy (Zhuhai) & School of Physics (Guangzhou) & Sino-French Institute of Nuclear Engineering and Technology (Zhuhai) Sun Yat-sen University Institute of High Energy Physics Institute of Frontier and Interdisciplinary Science Shandong University APC Université Paris Cité CNRS/IN2P3 CEA/IRFU Observatoire de Paris department of Engineering Physics & department of Astronomy Tsinghua University School of Physics and Microelectronics Chinese Academy of Sciences Zhengzhou University Yunnan Observatories Chinese Academy of Sciences China Center of Advanced Science and Technology College of Physics Sichuan University School of Physics Peking University Guangxi Key Laboratory for Relativistic Astrophysics School of Physical Science and Technology University of Chinese Academy of Sciences Guangxi University department of Physics Faculty of Science Mahidol University Moscow Institute

The ultra-high-energy（UHE） gamma-ray source 1LHAASO J0007+7303u is positionally associated with the composite SNR CTA1 that is located at high Galactic Latitude b ≈ 10.5°. This provides a rare opportunity to spatially resolve the component of the pulsar wind nebula（PWN） and supernova remnant（SNR） at UHE. This paper conducted a dedicated data analysis of 1LHAASO J0007+7303u using the data collected from december 2019 to July 2023. This source is well detected with significances of 21σ and 17σ at 8-100 Tev and >100 Tev, respectively. The corresponding extensions are determined to be 0.23°±0.03°and 0.17°±0.03°. The emission is proposed to originate from the relativistic electrons accelerated within the PWN of PSR J0007+7303. The energy spectrum is well described by a power-law with an exponential cutoff function dN/dE =（42.4 ± 4.1）(E/（20 Tev）)-2.31±0.11exp(-E/（110±25 Tev）) Tev-1cm-2s-1in the energy range from 8 to 300 Tev, implying a steady-state parent electron spectrum dNe/dEe∝(Ee/（100 Tev）)-3.13±0.16exp[(-Ee/（373±70 Tev）)2] at energies above ≈ 50 Tev. The cutoff energy of the electron spectrum is roughly equal to the expected current maximum energy of particles accelerated at the PWN terminal shock. Combining the X-ray and gamma-ray emission, the current space-averaged magnetic field can be limited to≈ 4.5 μG. To satisfy the multi-wavelength spectrum and the γ-ray extensions, the transport of relativistic particles within the PWN is likely dominated by the advection process under the free-expansion phase assumption.

关键词：

Analytical and numerical modeling for the effects of thermal insulation in underground tunnels

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

International Journal of Mining Science and Technology 2016年第2期26卷 267-276页

作者： Liu W.v. Apel d.b. bindiganavile v.S. Szymanski J.K. department of Civil and Environmental Engineering University of Alberta

The heat How generated from the infinite rock mass surrounding the underground tunnels is a major cause for the increasing cooling demands in deep mine *** layers with lower thermal conductivities on tunnel walls and roof ceilings are believed to supply a thermo-barrier for heat ***,it is found that no systematic theoretical investigations were made to predict and confirm the effectiveness of underground thermal ***,investigations on the underground insulation problems involving heat flows through the semi-infinite hot rock mass and insulation layer were not ***,in this paper,the thermal characteristics,accompanied with heat flow through the semi-infinite rock mass and the insulation layer,were modeled by both analytical and numerical methods with focus on underground mine *** close agreements between models have indicated that the thermal insulation applied on tunnel surfaces is able to provide promising heat abatement effects.

关键词： Thermal insulation Theoretical models Underground Rock mass Heat abatement

Machine learning in solid organ transplantation:Charting the evolving landscape

在线全文

学校读者我要写书评

暂无评论

World Journal of Transplantation 2025年第1期15卷 165-177页

作者： badi Rawashdeh Haneen Al-abdallat Emre Arpali beje Thomas Ty b dunn Matthew Cooper division of Transplant Surgery Medical College of WisconsinMilwaukeeWI 53202United States department of Medicine Jordan University HospitalAmman 11263Jordan department of Nephrology Medical College of WisconsinMilwaukeeWI 53226United States

bACKGROUNd Machine learning(ML),a major branch of artificial intelligence,has not only demonstrated the potential to significantly improve numerous sectors of healthcare but has also made significant contributions to the field of solid organ *** provides revolutionary opportunities in areas such as donorrecipient matching,post-transplant monitoring,and patient care by automatically analyzing large amounts of data,identifying patterns,and forecasting *** To conduct a comprehensive bibliometric analysis of publications on the use of ML in transplantation to understand current research trends and their *** On July 18,a thorough search strategy was used with the Web of Science *** and transplantation-related keywords were *** the aid of the vOS viewer application,the identified articles were subjected to bibliometric variable analysis in order to determine publication counts,citation counts,contributing countries,and institutions,among other *** Of the 529 articles that were first identified,427 were deemed relevant for bibliometric analysis.A surge in publications was observed over the last four years,especially after 2018,signifying growing interest in this *** 209 publications,the United States emerged as the top ***,the"Journal of Heart and Lung Transplantation"and the"American Journal of Transplantation"emerged as the leading journals,publishing the highest number of relevant *** keyword searches revealed that patient survival,mortality,outcomes,allocation,and risk assessment were significant themes of *** The growing body of pertinent publications highlights ML's growing presence in the field of solid organ *** bibliometric analysis highlights the growing importance of ML in transplant research and highlights its exciting potential to change medical practices and enhance patient *** collaboration between signific

关键词： Machine learning Artificial Intelligence Solid organ transplantation bibliometric analysis

Semen microbiota and cytokines of healthy and infertile men

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Asian Journal of Andrology 2022年第4期24卷 353-358页

作者： Oleg v bukharin Natalya b Perunova Elena v Ivanova Irina N Chaynikova Anastasia v bekpergenova Taisiya A bondarenko Michael d Kuzmin Institute of Cellular and Intracellular Symbiosis Ural Department of the Russian Academy of SciencesOrenburg Federal Research Center UD of RASOrenburg 460014Russia

In this study,we determined the levels of cytokine secretory inhibitors and the microbiota biofilms of semen from healthy and infertile subjects.A total of 118 clinical bacterial isolates were isolated and *** secretory inhibitors were determined based on the difference in cytokine content between the control and experimental samples of cell-free supernatants of isolated *** formation was studied by determining the adhesion of microorganisms to the surface of a 96-well sterile plate and expressed as the optical density at 630 nm(Od_(630)).Cell-free supernatants of Staphylococcus contained higher levels of secretory inhibitor of cytokines in conditionally healthy than in infertile *** contrast,in infertile men,the ability to reduce cytokine levels was more characteristic of Enterococcus and *** Staphylococcus,Corynebacterium,and Enterococcus isolated from infertile subjects showed a greater ability to form biofilms than the same bacteria isolated from healthy *** research is needed on this topic,since it is necessary to determine the relationships between decreased secretory inhibitors of cytokines,production of biofilms by bacteria in semen,and *** is likely that the ability of microorganisms to change the concentration of cytokines and increase the level of biofilm formation in semen may be associated with minimal impairments of fertilizing ability,which are not detected using other methods.

关键词： biofilms infertility microbiota secretory inhibitor of cytokines semen