Results 11 to 20 of about 9,359 (164)
Wildlife Letters, Volume 1, Issue 3, Page 119-130, September 2023., 2023 We collected Amur tiger track data and occurrence data through snow track tracking, sample line surveys, and camera traps. The study concluded that forest roads, scrub vegetation, and human landscape factors were the main factors influencing Amur tiger movements at fine scales and examined the negative correlation between tiger path curvature values ...
Ying Wang +9 more
wiley +1 more source
Evaluating the determinants of support for police militarization among officers
Politics &Policy, Volume 51, Issue 4, Page 636-660, August 2023., 2023 Abstract We evaluate the determinants of officer support for their agency participating in the 1033 Program: a program that facilitates the flow of military hardware to local law enforcement agencies. In doing so, we provide insight into why officers demand such equipment, which, in turn, may partially explain patterns of program participation and ...
Ryan M. Welch +3 more
wiley +1 more source
Conservation Biology, Volume 37, Issue 3, June 2023., 2023 Abstract The Common Agricultural Policy (CAP) is the European Union's main instrument for agricultural planning, with a new reform approved for 2023–2027. The CAP intends to align with the European Green Deal (EGD), a set of policy initiatives underpinning sustainable development and climate neutrality in the European Union (EU), but several flaws cast
Ivon Cuadros‐Casanova +9 more
wiley +1 more source
Infant Mental Health Journal: Infancy and Early Childhood, Volume 44, Issue 3, Page 387-405, May 2023., 2023 Abstract Parental reflective functioning (PRF) is the capacity to focus on feelings and experiences in oneself as a parent and in the child. Research has demonstrated that, the better the PRF the better outcomes for the child. This paper evaluated the Danish version of the prenatal parental reflective functioning questionnaire (P‐PRFQ).
Mads Schwartz +4 more
wiley +1 more source
Conservation Biology, EarlyView.Abstract Consumer demand for ivory perpetuates the unsustainable and illegal killing of African elephants and other wildlife species. Interventions that aim to change consumer behavior are increasingly recognized as a crucial element of demand management. However, poor design and implementation have limited their effectiveness.
Molly R. C. Brown +2 more
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
The research of Algorithm and Parameters of SVM [PDF]
, 2016 随着支持向量机的研究日趋完善，以及支持向量机的优越的建模能力，并且在克服“维数灾难”以及“过学习”方面较其他模型表现更良好，越来越多的学者对支持向量机进行了研究，并成功地将支持向量机运用到很多的领域.支持向量机的算法和参数的选取一直以来都是很热门的研究方向.本文对支持向量的选取以及核函数参数和惩罚参数进行了研究. 在理论方面，本文从最优化的角度，给出了支持向量机的对偶问题的推导过程，并给出了对偶问题的优化性质的证明.
万海华
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Policy Studies Journal, EarlyView.ABSTRACT Why did Australia go from the White Australia Policy, which excluded non‐whites, to institutionalizing multiculturalism policy in the 1970s? This question defies traditional political ideologies of the major political parties, which had long supported the White Australia Policy. This article is a rare empirical demonstration of the Five‐Thread
Julius C. S. Mok
wiley +1 more source
Gaoya dianqi, 2020 变压器是电网最为核心的设备,绕组变形是变压器主要的故障类型之一,频率响应分析法（frequency response analysis, FRA）是目前广泛应用的绕组变形检测方法。为提高绕组变形分类诊断的性能,文中提出基于粒子群算法优化支持向量机（particle swarm optimization-support vector machine, PSO-SVM）的变压器绕组变形分类方法,采用数学统计方法提取频率响应曲线的特征参量,并输入到支持向量机模型进行训练,利用粒子群算法优化支持向量机模型参数 ...
刘伟 +4 more
doaj
Research on Energy Efficiency Optimization Algorithm for Copper Flash Smelting Process Based on Data-driven [PDF]
, 2016 铜闪速熔炼工序具有多变量、非线性、大时滞、强耦合、生产波动大的特点，传统的基于机理模型的优化控制系统很难适应多变的运行条件，预测结果偏差较大，影响最终的控制效果。随着计算机技术的发展，复杂工业过程中积累了大量生产数据，为我们从人工智能的角度进行建模与优化控制提供了数据基础。 本论文以某大型闪速炼铜企业的闪速熔炼生产过程为研究对象。为了实现铜闪速熔炼工序中的节能减耗，本文提出了一种满足三大工艺指标（冰铜品位，冰铜温度，渣中铁硅比）约束的能效优化模型：首先 ...
董云成
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