Results 21 to 30 of about 14,018 (119)
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
International Journal of Applied Linguistics, EarlyView.ABSTRACT Multilingual students in Anglophone universities often operate in survival mode. While translanguaging supports learning, critical gaps remain in understanding how translanguaging pedagogies transform and sustain motivation in English‐dominant contexts.
Melissa Jufenna Slamet, Julie Choi
wiley +1 more source
Jianzhu Gangjiegou Jinzhan, 2022 将快速非支配排序遗传算法和粗粒度-主从式并行遗传算法相结合，提出一种多目标并行遗传算法。该算法在同步优化消能减震结构上阻尼器的布置数量和布置位置时，既能多目标优化，又能并行运算，提高计算效率。采用该算法，以最大层间位移角和最大楼层加速度为多目标函数，优化一个14层钢框架结构上阻尼器的布置数量和布置位置。优化结果表明：该算法是逐渐收敛，具备较强收敛性；该算法优化结果适用于不同地震波，层间位移角减震系数最小为20.66%，加速度减震系数最小为18.35%；对于消能减震结构 ...
陈丰收, 吕述晖, 李安琪
doaj
Dehydrogenation Thermodynamic and Kinetic Challenges of Mg‐Ni‐Based Alloy Hydrides
Rare Metals, Volume 45, Issue 6, June 2026.ABSTRACT Solid‐state hydrogen storage stands as a pivotal, safe, and efficient solution for the future hydrogen economy. Among diverse hydrogen storage systems, Mg‐Ni‐based alloy hydrides are recognized as cornerstone materials. However, their practical application is hindered by two core challenges: the high thermodynamic stability of the hydride ...
Jinglan He +6 more
wiley +1 more source
Conservation Biology, Volume 40, Issue 3, June 2026.Abstract Prioritization in conservation is crucial for the development of efficient and effective decision‐making policies. For many decades, the importance of some species and their habitats has been assessed and applied in conservation legislation, but bats and their diurnal roosts have ofbeen overlooked.
David López‐Bosch +6 more
wiley +1 more source
四川大学学报. 自然科学版, 2015 为进一步提高无线传感器网络节点跟踪定位精度降低能耗,提出一种多目标拥挤度差分优化的贝叶斯量化变分滤波预估WSN跟踪定位算法.首先,针对定位问题,采用贝叶斯量化变分滤波方法对目标下一位置区域进行预测,利用量化变分滤波方式选取合适的定位参与节点,并设计了量化变分滤波的多目标参数优化模型.其次,针对传统多目标优化算法寻优精度不高的问题,设计了基于种群个体拥挤度状况的多目标差分进化算法,对量化变分滤波算法参数进行优化,实现了滤波参数的多目标优化.最后,通过实验仿真表明,该算法能够有效实现目标节点的跟踪定位 ...
张睿敏, 陈钟, 李晓斌
doaj
Biodiversity‐driven spatial conservation planning to delineate temporally stable regions
Conservation Biology, Volume 40, Issue 3, June 2026.Abstract The accelerating loss of biodiversity underscores the critical need for effective conservation strategies, particularly in the face of climate change and anthropogenic pressures. We devised a conservation planning framework that adopts a temporal stacking approach to species distribution models and landscape connectivity analyses. These models
Mattia Iannella +5 more
wiley +1 more source
Gaoya dianqi, 2023 储能系统具有四象限下的灵活调节能力，而且响应速度快，不受地理资源等外部条件的限制。将其应用于电网侧时，可以充分发挥其灵活的四象限出力调节能力，实现配电网的削峰填谷、调压等功能。文中提出了分布式储能优化配置和选址的多目标模型，并以功效系数法将多个目标转化为单目标，然后基于多场景技术建立了总功效系数的期望值模型，期望值模型将配电网中负荷、光伏的随机性考虑在内，所得到的优化结果更加合理。
张伟骏 +4 more
doaj
全球能源互联网, 2019 以解列后系统稳定性为目标选取最优的解列断面是主动解列的核心问题，但随着新能源、直流输电的快速发展，目前普遍将其抽象为单目标优化过程的研究方法，难以满足当前大电网对解列后子系统频率及电压支撑能力的要求。为此提出了考虑多因素的主动解列断面搜索方法。首先，基于单目标优化过程得到具有最小潮流冲击的初始解列断面；其次，在初始解的邻域搜索空间中获取具有相近潮流冲击的可行解集；最后，考虑风电渗透率或直流多馈入短路比确定最终的解列断面。所提策略能有效提高解列后孤岛的稳定运行能力、有利于后续控制和恢复 ...
汤奕1, 郑晨, 肖晋宇, 侯金鸣
doaj +1 more source
Rare Metals, Volume 45, Issue 5, May 2026.ABSTRACT Refractory complex‐concentrated alloys (RCCAs) show exceptional promise for extreme‐environment applications, yet intermediate‐temperature instability (0.4–0.6 Tm) and plasticity degradation severely constrain their development. This work provides an effective strategy to transform the inherent intermediate‐temperature instability into a ...
Jing‐Zhi He +8 more
wiley +1 more source