Results 41 to 50 of about 70,364 (165)
Using customs data to understand overlooked trade in non‐CITES birds between Africa and Asia
Conservation Biology, EarlyView.Abstract The international trade in live birds poses risks to animals, people, and biodiversity. To effectively mitigate these risks, decision‐makers require information on the volume, dynamics, and direction of trade. Despite Africa once being the largest exporter of birds by region, very little data exist on recent trade in live birds not listed on ...
Alisa Davies +4 more
wiley +1 more source
The Application of Recombinant Bacteriophages in Pathogenic Bacteria Detection [PDF]
, 2015 致病菌的快速、灵敏、特异性检测对食品质量监管、公共安全、环境卫生监测、细菌致病机理研究、疾病的诊断与治疗等具有重要意义。依靠各种生化反应的传统致病菌检测方法不仅操作复杂、检测周期长，且无法用于检测难培养的致病菌；而以抗原—抗体识别为基础的检测方法需要使用价格昂贵并难以获取的特异性抗体，限制了该方法的适用性。噬菌体是一类以细菌为宿主的病毒，广泛存在于自然界中，种类繁多，能够快速繁殖，对宿主菌具有良好的专一识别性。噬菌体基因组简单且易于改造，目前 ...
栾天
core
Evaluating synthetic substitutes to reduce illegal harvesting and support species recovery
Conservation Biology, EarlyView.Abstract Providing synthetic substitutes is a widely promoted strategy to shift consumer demand away from wildlife products derived from threatened species. Yet, there is little evidence on whether product substitution prevents illegal or unsustainable harvesting and contributes to the recovery of threatened populations.
Aditya Shekhar Malgaonkar +17 more
wiley +1 more source
Research on Scene-specific Pedestrian Detection Method Based on Deep Learning [PDF]
, 2015 行人检测一直是计算机视觉中，尤其是目标检测领域的研究重点。而由于环境的时变性和多样性，不同场景之间样本不满足同分布，普通场景下训练得到的检测器直接应用到某一特定场景时性能会急剧下降。基于这样的背景，本文依据场景的复杂程度不同提出了两种对应的解决方法，主要工作和创新点如下： 1）当背景比较简单时，容易获取样本的标定信息，本文提出了一种快速的行人检测算法，首先基于结构化局部边缘模式计算样本特征，然后通过积分图技术快速计算分类器分数，从而使得检测过程更加高效 ...
袁德东
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Assessing differences among elasmobranch nurseries to aid conservation based on a genomics framework
Conservation Biology, EarlyView.Abstract Elasmobranch nurseries often differ in environmental conditions, demographics, and use patterns. These differences affect the distribution of genetic variation among nurseries. However, conservation and management strategies often fail to account for such differences because they are difficult to characterize.
Dominic G. Swift +8 more
wiley +1 more source
Research on Eddy Current Testing of Damages in Carbon Fiber Reinforced Polymers [PDF]
, 2015 碳纤维增强树脂基复合材料因其优异的性能已被广泛应用于飞行器制造、汽车制造、化学工业、造船与电气设备等各个行业，尤其是在航空航天、船舰以及核能设备等领域受到高度重视。然而，复合材料结构件在制造和使用过程中不可避免的会因为冲击等原因产生各种类型的缺陷。此外，复合材料结构件在损坏之前几乎没有先兆，其破坏具有突然性，这一点往往造成严重的后果。因此对碳纤维增强树脂基复合材料损伤的无损检测研究具有极其重要的意义。 目前应用较多的检测碳纤维增强树脂基复合材料损伤的方法有红外检测、X射线检测以及超声检测等 ...
杜飞
core
Emerging applications of large language models in ecology and conservation science
Conservation Biology, EarlyView.Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides +5 more
wiley +1 more source
Research on the RGB-D Based Fall Detection [PDF]
, 2015 随着人口的增长，越来越多的国家在面临人口老龄化的问题，同时空巢老人和独居老人所占人口比例也逐渐增多，导致家中无人监护的跌倒行为越来越多。一个鲁棒的自动化跌倒检测系统可以协助独居老人更好的独自生活，在发生危险的时候，可以及时发出警报，避免老人错过最佳抢救和治疗时间。 在跌倒检测中，人体检测和动作识别是密不可分的两个阶段。由于跌倒动作发生时间短，一些常用的动作识别特征无法准确检测出目标动作，需要重新设计适合于跌倒检测的行为特征描述子。本文针对于当前跌倒检测中的特征设计和分类器设计展开研究 ...
王力玄
core
Profiling Metacognitive Knowledge and Growth Mindset in EFL Vocabulary Learning
International Journal of Applied Linguistics, EarlyView.ABSTRACT Guided by the self‐regulated learning (SRL) framework, the present study investigates the associations between metacognitive knowledge and growth mindset in EFL (English as a Foreign Language) vocabulary learning, addressing a critical gap in the literature. While metacognitive knowledge, comprising person, task, and strategy dimensions, plays
Weili (Allen) Xing, Mark Feng Teng
wiley +1 more source
Learning Styles, Engagement and Anxiety in AI‐Mediated Writing: A Multimodal Feedback Study
International Journal of Applied Linguistics, EarlyView.ABSTRACT Artificial intelligence (AI) tools now permeate English academic writing. However, evidence on how feedback modalities align with student differences and with psychological mechanisms remains limited. Prior work often reduced learning styles to simple matches with delivery modes and treated learning engagement and writing anxiety as peripheral.
Yi Ren +3 more
wiley +1 more source