Results 41 to 50 of about 16,430 (195)
Wildlife Letters, EarlyView.This review summarizes the status of musk deer in China, highlighting severe population declines due to illegal hunting and habitat loss, and proposes integrated conservation strategies including habitat protection, captive breeding, and law enforcement to support the recovery and sustainable management of this ecologically and economically important ...
Feng Jiang +8 more
wiley +1 more source
Shuitu Baochi Xuebao, 2022 在全球气候变暖的背景下, 干旱灾害日趋频发。为全面精细研究华中地区降水的时空变化, 结合水汽(PWV)、增强型植被指数(EVI)等数据, 基于地理加权回归模型, 结合克里金插值分别对2010—2019年的GPM IMERG和TRMM 3B43数据进行空间降尺度, 并利用区域内53个气象站数据进行精度评价。对优选的降尺度数据采用变异系数法、Theil-Sen Median趋势分析耦合Mann-Kendall显著性检验方法及Hurst指数法, 分析了华中地区的降水时空变化特征及其可持续性特征 ...
张寒博 +5 more
doaj
Functional Ecology, EarlyView.Read the free Plain Language Summary for this article on the Journal blog. Abstract Forests worldwide are increasingly impacted by drought due to climate change, prompting plants to adapt through dehydration tolerance (DT) and avoidance (DA), two distinct physiological strategies.
Xingyun Liang +11 more
wiley +1 more source
智能科学与技术学报, 2022 当代系统认知、管理与控制的核心理论、方法与技术已经转移到大数据和人工智能技术上，这导致当前人工智能技术条件局限与复杂系统认知、管理、控制的需求之间形成了一道鸿沟。因此，现实的需求催生了人工智能的一种新型形态——人机混合增强智能形态，即人类智能与机器智能协同贯穿于系统认知、管理、控制等过程的始终，人类的认知和机器智能认知互相混合，形成增强型的智能形态，这种形态是人工智能或机器智能可行的、重要的成长模式。提出了一种物理-数据-知识混合驱动的人机混合增强智能系统管控方法。从可信分布式数据、计算和算法 ...
张俊 +12 more
doaj
Research on Processing and Application of Imbalanced Textual Data on Social Platforms [PDF]
With the informatization of the society, it’s of great practical value to extract useful information from massive textual data available online using tools of NLP (natural language processing).
JIANG Yuqi, HOU Zhiwen, WANG Yifan, ZHAI Hanming, BU Fanliang
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Methods in Ecology and Evolution, EarlyView.Abstract DNA barcode‐based species identification has become pivotal in biodiversity research. Current barcoding‐based deep learning methods have advantages in species identification but exhibit significant limitations. By using COI barcoding alone, previous studies were unable to fully capture species identification features. Prior methods showed that
Bin Ye +4 more
wiley +1 more source
Research on Low-Resource Language Machine Translation for the ″Belt and Road″ [PDF]
With the development of the ″Belt and Road″ initiative, the demand for cross-language communication between countries and regions along the ″Belt and Road″ has grown, and Machine Translation(MT) technology has gradually become an important means of in ...
HOU Yutao, Abudukelimu Abulizi, SHI Yaqing, Mayilamu Musideke, Halidanmu Abudukelimu
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Effects of parachute science on local research capacity 降落伞科学对当地研究能力的影响
Conservation Biology, EarlyView.Abstract Strengthening research capacity is essential to address the global biodiversity crisis. Yet, parachute science often undermines this goal, and its prevalence, costs, and benefits are unclear. We analyzed 13,502 publications on primate research that we extracted from Scopus (1960–2022) to evaluate the effects of parachute science on local ...
Li Yang +11 more
wiley +1 more source
Recommendation Method Based on Self-supervised Multi-view Graph Collaborative Filtering [PDF]
Existing graph collaborative filtering algorithms suffer from data sparsity in real-world scenarios and make feature learning more susceptible to interaction noise when aggregating adjacent information.
ZHANG Baoxin, YANG Dan, NIE Tiezheng, KOU Yue
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A link between increased temperature and avian body condition in a logged tropical forest
Conservation Biology, EarlyView.Abstract The combined effects of anthropogenic disturbances, such as logging and climate change, remain poorly understood; yet, they are the main threats to tropical biodiversity. Most tropical African countries lack long‐term climate data, so climate impacts on biodiversity cannot be assessed.
Moreen Uwimbabazi +7 more
wiley +1 more source