Results 11 to 20 of about 374,623 (167)
Policy Studies Journal, Volume 51, Issue 4, Page 817-842, November 2023., 2023 Abstract Are narratives as influential in gaining the attention of policymakers as expert information, including for complex, technical policy domains such as artificial intelligence (AI) policy? This pre‐registered study uses a field experiment to evaluate legislator responsiveness to policy entrepreneur outreach.
Daniel S. Schiff, Kaylyn Jackson Schiff
wiley +1 more source
Mechanisms of bariatric surgery for weight loss and diabetes remission 减重手术减轻体重和缓解糖尿病的机制
Journal of Diabetes, Volume 15, Issue 9, Page 736-752, September 2023., 2023 Highlights Controversial changes in intestinal hormones after bariatric surgery (BS) were summarized. The changes of signaling proteins involved in insulin resistance and the newly proposed changes in growth differentiation factor 15, exosomes, and extracellular vesicles after BS were elucidated.
Mengsha Yin +6 more
wiley +1 more source
Associations among psychosis, mood, anxiety, and posttraumatic stress symptoms: A network analysis
Journal of Traumatic Stress, Volume 36, Issue 2, Page 385-396, April 2023., 2023 Abstract The associations among psychotic experiences (i.e., hallucinations and delusions), trauma exposure, and posttraumatic stress symptoms are complex and multidirectional. Using network analysis to understand how psychotic experiences and symptoms of posttraumatic stress disorder (PTSD) relate to one another may identify new interventional targets
Laurence Astill Wright +6 more
wiley +1 more source
Integrative Conservation, Volume 2, Issue 1, Page 43-61, March 2023., 2023 We apply an integrative perspective to modelling current and future land‐use change in Kuantan, Malaysia, a location with highly biodiverse forests, and also a hotspot of land‐use change. The region is representative of the types of development challenges faced by countries in Southeast Asia, which are also biodiversity hotspots.
Sharun Beream Nasir +5 more
wiley +1 more source
Nailfold capillaroscopy and deep learning in diabetes 甲襞毛细血管镜检测与深度学习在糖尿病中的应用
Journal of Diabetes, Volume 15, Issue 2, Page 145-151, February 2023., 2023 Highlights Nailfold capillary images were obtained by performing nailfold video capillaroscopy in 120 adult patients with and without diabetes. Over 5000 photographs were analyzed using machine‐learning approaches, and these models were clearly able to distinguish people based on diabetes status.
Reema Shah +6 more
wiley +1 more source
The Photogrammetric Record, Volume 37, Issue 180, Page 385-409, December 2022., 2022 Among all stereo matching methods End‐to‐End (E2E) learning methods show that they can achieve the lowest and most frequent minimum errors, however, their performance drastically changes across different test‐sites, which indicates poor generalisation capabilities.
Hessah Albanwan, Rongjun Qin
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Journal of Traumatic Stress, Volume 35, Issue 3, Page 879-890, June 2022., 2022 Abstract Many war survivors suffer from chronic posttraumatic stress disorder (PTSD). Unraveling the complexities of PTSD symptoms over time is crucial for understanding this condition. Going beyond a common pathogenic pathway perspective, we applied the network approach to psychopathology to analyze longitudinal data from war survivors with PTSD in ...
Pascal Schlechter +3 more
wiley +1 more source
The Photogrammetric Record, Volume 36, Issue 174, Page 77-103, June 2021., 2021 A workflow is proposed for a completely automatic orientation of historical terrestrial urban images. For such images, automatic SfM packages often fail due to large radiometric and geometric differences causing challenges with feature extraction and reliable matching.
Ferdinand Maiwald, Hans‐Gerd Maas
wiley +1 more source
Information searching in chaotic neural network(混沌神经网络的信息搜索)
Zhejiang Daxue xuebao. Lixue ban, 2002 混沌神经网络具有动态联想记忆功能,但其动态联想记忆是在网络的混沌运动中实现的,记忆状态为连续改变的非周期行为,不能稳定在某个已存储的模式上,因而混沌神经网络的信息搜索成为一个难点.本文通过在部分神经元上施加合适的控制量进行钉扎控制,改变混沌神经网络的动力学特性.计算机仿真实验表明,在钉扎控制作用期间,混沌神经网络的输出能稳定地收敛于网络的存储的模式上,从而实现了混沌神经网络的信息搜索.
HEGuo-guang(何国光) +2 more
doaj +1 more source
Ultrasound in Obstetrics &Gynecology, Volume 57, Issue 1, Page 155-163, January 2021., 2021 Abstract Objectives To develop and test the performance of computerized ultrasound image analysis using deep neural networks (DNNs) in discriminating between benign and malignant ovarian tumors and to compare its diagnostic accuracy with that of subjective assessment (SA) by an ultrasound expert.
F. Christiansen +5 more
wiley +1 more source