Results 11 to 20 of about 12,916 (159)

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, Jeremy Petch, Walter Nelson, Karsten Roth, Michael D. Noseworthy, Marzyeh Ghassemi, Hertzel C. Gerstein   +6 more
wiley   +1 more source

International clinical practice recommendations on the definition, diagnosis, assessment, intervention, and psychosocial aspects of developmental coordination disorder – Chinese (Mandarin) translation

Developmental Medicine &Child Neurology, Volume 61, Issue 3, Page E1-E35, March 2019., 2019
目的 本国际临床指南由欧洲残疾儿童学会（the European Academy of Childhood Disability，EACD）牵头制定，旨在解决发育性协调障碍（developmental coordination disorder，DCD）的定义、诊断、评估、干预以及与社会心理方面的临床应用关键问题。 方法 本指南针对五个领域的关键问题，通过文献综述和专家团队的正式讨论达成共识。为保证指南的循证基础，以“机制”、“评估”和“干预”为检索词, 对2012年更新以来提出的最新建议以及新增的“社会心理问题”和“青少年/成人”为检索词进行检索。根据牛津大学循证医学中心证据等级 (证据水平 [level of evidence, LOE]1–4) 将结果进行分类，最终转化为指南建议。并由国际 ...
Jing Hua, Wenchong Du, Xiaotian Dai, Meiqin Wu, Xianying Cai, Min Shen, Liping Zhu   +6 more
wiley   +1 more source

Boosting Piezoelectric Voltage Constant in 3D‐Interconnected PZNNT Porous Piezoceramics via Pore Architecture Engineering

Rare Metals, Volume 45, Issue 3, March 2026.
ABSTRACT In conventional piezoceramics, the coordinated change between the dielectric constant (εr) and the piezoelectric charge constant (d33) usually limits the piezoelectric voltage constant g33 (g33 = d33/εr), a critical figure of merit for piezoelectric sensors.
Xiaoying Feng, Jie Xu, Chenhe Xia, Xinyue Tang, Ziyao Wei, Mupeng Zheng, Yudong Hou, Feng Gao   +7 more
wiley   +1 more source

Tantalum‐Driven Interfacial Reconstruction Enables Ultra‐Low Contact Resistance in TiAlTa/Au GaN HEMTs

Rare Metals, Volume 45, Issue 2, February 2026.
ABSTRACT The transformative potential of gallium nitride high electron mobility transistors (GaN HEMTs) in advancing carbon‐neutral power systems remains bottlenecked by contact resistance (Rc) at the metal–semiconductor (M‐S) interface, a critical determinant of switching losses and frequency response.
Ji‐Zhou Zhang, Xiao‐Yue Liu, Te Xu, Jiang‐Wen Wang, Yuan‐Hong Shi, Shi‐Dai Tian, Xiang Zhang, Wei‐Guo Hu, Jun‐Yi Zhai   +8 more
wiley   +1 more source

Gravity‐Driven Inclination Sensor Based on Liquid Metal Interface Migration in Anisotropic Microchannels for Information Transmission and Continuous Surface Topography Scanning

Rare Metals, Volume 45, Issue 2, February 2026.
ABSTRACT With the continuous advancement of materials science and technology, the rare metal gallium has increasingly emerged as a promising alternative to the toxic metal mercury. Although existing research has predominantly focused on the high electrical conductivity and excellent deformability of liquid metal (LM), its intrinsic fluidic property ...
Feifan Guo, Fei Zhan, Guoqing Wang, Xuedong Qiang, Min Mao, Hongbin Zhao, Lei Wang   +6 more
wiley   +1 more source

Double‐Hollow Porous Heterostructured CoP/Cu3P Microspheres for High‐Performance Asymmetric Supercapacitors

Rare Metals, Volume 45, Issue 2, February 2026.
ABSTRACT CoP has become a research hotspot for supercapacitor electrode materials because of its considerable theoretical capacitance and metalloid nature, but its commercial application remains hampered by structural instability and sluggish ion kinetics.
Gaoliang Wang, Pu Hu, Weifeng Liu, Tao Jiang, Yamin Feng, Zhuang Ma, Liangming Zheng, Chaoqun Shang, Junmin Nan   +8 more
wiley   +1 more source

Ru‐Ag Dual Atom Sites for Methane Detection Enabling Intelligent Thermal Runaway Warning in Lithium‐Ion Batteries

Rare Metals, Volume 45, Issue 2, February 2026.
ABSTRACT Early detection of thermal runaway (TR) is essential for lithium‐ion battery (LIB) safety, as unchecked TR risks catastrophic failures in energy storage systems. Gas‐based sensing offers a faster and more direct approach by detecting decomposition products at the molecular level.
Tianshui Liang, Weifang Ma, Yuhang Song, Wenqi Hou, Zongke Li, Jiayi Liu, Wen Wang, Yang Jin, Ronghan Wei, Qiyan Wang   +9 more
wiley   +1 more source

Altered nutrient cycling functionality in seagrass meadows under a simulated future marine heatwave event

New Phytologist, Volume 247, Issue 6, Page 2616-2629, September 2025.
Summary Seagrasses are important contributors to environmental nutrient cycling in marine ecosystems and can improve water quality by absorbing excess nitrogen (N). However, these ecosystems are vulnerable to human‐mediated pressures, including marine heatwaves (MHWs), particularly those of longer duration. We performed an experiment simulating a 30‐d,
Alissa V. Bass, Ziyan Wang, Nga Man Chung, Mandy Wing Kwan So, Laura J. Falkenberg, Benoit Thibodeau   +5 more
wiley   +1 more source

‘Where else can they go?’: Violence, resistance and the socio‐cultural trajectories of Kashmiri women in Freny Manecksha's Behold I Shine: Narratives of Kashmir's Women and Children

Sexuality, Gender &Policy, Volume 7, Issue 4, Page 348-365, November 2024.
Abstract In the armed conflict between Kashmiri militancy and the Indian state forces, Kashmiri women have been relentless victims of abduction, rape, molestation, and cruel objectification by the militaristic patriarchs of both sides. In the context of the state's unaccountability, the rebuttal of justice is horrific in Kashmir.
Payel Pal, Goutam Karmakar
wiley   +1 more source

Performance of machine‐learning approach for prediction of pre‐eclampsia in a middle‐income country

Ultrasound in Obstetrics &Gynecology, Volume 63, Issue 3, Page 350-357, March 2024.
ABSTRACT Objective Pre‐eclampsia (PE) is a serious complication of pregnancy associated with maternal and fetal morbidity and mortality. As current prediction models have limitations and may not be applicable in resource‐limited settings, we aimed to develop a machine‐learning (ML) algorithm that offers a potential solution for developing accurate and ...
J. Torres‐Torres, J. R. Villafan‐Bernal, R. J. Martinez‐Portilla, J. A. Hidalgo‐Carrera, G. Estrada‐Gutierrez, R. Adalid‐Martinez‐Cisneros, L. Rojas‐Zepeda, S. Acevedo‐Gallegos, D. M. Camarena‐Cabrera, M. Y. Cruz‐Martínez, S. Espino‐y‐Sosa   +10 more
wiley   +1 more source