Results 41 to 50 of about 14,356 (159)
Automating the analysis of public saliency and attitudes toward biodiversity from digital media
Conservation Biology, Volume 40, Issue 2, April 2026.Abstract Measuring public attitudes toward wildlife provides crucial insights into human relationships with nature and helps monitor progress toward Global Biodiversity Framework targets. Yet, conducting such assessments at a global scale presents challenges.
Noah Giebink +8 more
wiley +1 more source
Fermi Surface Structure Revealed by Quantum Oscillations in Half‐Heusler Semimetal LuAuSn
Rare Metals, Volume 45, Issue 3, March 2026.ABSTRACT The Fermi surface structure in the half‐Heusler semimetallic compound LuAuSn was systematically investigated using quantum oscillation studies of high‐quality single crystals and first‐principles calculations. Clear bulk quantum oscillation signals were observed for multiple complementary physical properties, including magnetization, Hall ...
Yue Lu +12 more
wiley +1 more source
Rare Metals, Volume 45, Issue 3, March 2026.ABSTRACT The Schottky barrier height (SBH), which serves as a pivotal determinant of charge carrier injection efficiency in electronic devices, critically governs electrical behavior at metal/semiconductor interfaces. However, pronounced metal‐induced gap states at metal contact interfaces induce Fermi‐level pinning, which constrains the ...
Xiaofei Liu +10 more
wiley +1 more source
He jishu在极端相对论重离子碰撞条件下，精确构建有限重子化学势μB区域的量子色动力学（Quantum Chromodynamics，QCD）物质状态方程（Equation of State，EoS）是当前高能核物理研究的核心难题之一。本研究提出一种基于深度学习的准部分子模型，通过构建三个深度神经网络，成功实现了零μB条件下QCD状态方程的高精度重建。同时，经深入分析四阶广义磁化率χ4B在不同温度和μB下的单调性行为，大致限定了QCD临界点可能存在的区间为（T，μB）=（（0.113±0.019） GeV，（0 ...
李 甫鹏, 庞 龙刚, 秦 广友
doaj +1 more source
He jishu基于能谱的核素识别方法受到数值统计局限性的影响，需花费较长时间得到统计结果，导致应用于低计数率的快速核素识别速度较慢、精度较差、泛化性不高。为提升核素识 别的速度和性能，本文提出一种基于核脉冲峰值序列二维卷积神经网络（Two-Dimensional Convolutional Neural Network，2D-CNN）的核素识别方法。实验使用NaI（Tl）探测器在不同探源距下采集低计数率的单一源、混合源以及环境本底的核脉冲序列并将其进行固定长度序列划分作为数据集 ...
罗 庚 +7 more
doaj +1 more source
Production of top Quark pair at the large hadron collider(大型强子对撞机中顶夸克对的产生)
Zhejiang Daxue xuebao. Lixue ban, 2018 通过分析质心能量为8 TeV的质子-质子对撞实验，对大型强子对撞机上的ATLAS探测器，测量了顶夸克对产生过程pp→t的归一化微分散射截面，该实验数据对胶子部分子分布函数的确定非常重要.采用蒙特卡罗数值计算程序MadGraph以及CT10NNLO和CT14NNLO部分子分布函数，分别计算此过程的归一化微分散射截面，得到了与ATLAS实验相符的结果.进一步，用ATLAS实验数据和本文的理论计算结果，更新CT14NNLO部分子分布函数.结果显示，顶夸克对归一化微分散射截面对部分子分布函数不敏感 ...
ABLIKIMITursun(阿布力克木·吐尔孙) +1 more
doaj +1 more source
Pairwise-based visual labeling system for event-tracking data(基于成对关系的埋点数据可视化标注系统)
Zhejiang Daxue xuebao. Lixue banEvent-tracking technology embeds special code within applications to collect data during runtime, which aids developers in performance analysis and evaluation. Multidimensional event-tracking data is often automatically analyzed through evaluation models
孙嘉顺(SUN Jiashun) +6 more
doaj +1 more source
A survey of depth learning methods for detecting lung nodules by CT images(应用于平扫CT图像肺结节检测的深度学习方法综述)
Zhejiang Daxue xuebao. Lixue ban, 2017 肺癌是一种致死率很高的癌症.通过肺部平扫CT影像检测肺结节对肺癌早期诊断、治疗意义重大.全面介绍了 一种革命性的图像识别技术——深度学习方法，在肺结节检测中的应用.首先，横向对比了不同卷积神经网络的结构及其在图像识别上的效果，其次着重分析了不同深度学习方法在训练肺结节分类器上的应用，包括faster-RCNN、迁移学习、残差学习以及迁移学习.还介绍了一些可用的肺部CT影像数据集供读者参考.
HUWeijian(胡伟俭) +5 more
doaj +1 more source
Shuitu Baochi Xuebao, 1994 该文介绍了一种为中国科学院西北水土保持研究所国家重点实验室最新研制的计算机控制二维土壤非饱和水运动实验系统。该系统的投入运动，为进一步推动我国动力水文实验研究的发展，进行大型土柱入渗实验研究提供了先进的技术手段和优越的实验环境，重点讨论了该系统计算机测控部分的功能、设计思想、硬件结构及软件组成。
孙强 史竹叶
doaj +2 more sources