Results 61 to 70 of about 37,349 (259)

Feature Extraction and Attribute Recognition of Aerosol Particles from In Situ Light-Scattering Measurements Based on EMD-ICA Combined LSTM Model

Atmosphere
Accurate identification and monitoring of aerosol properties is crucial for understanding their sources and impacts on human health and the environment.
Heng Zhao, Yanyan Zhang, Dengxin Hua, Jiamin Fang, Jie Zhang, Zewen Yang   +5 more
doaj   +1 more source

Biodiversity Strategies in Action—Empirical Evidence From the Food Value Chain

Business Strategy and the Environment, EarlyView.
ABSTRACT There is an increasing need for better understanding of firm activities that contribute to biodiversity preservation. Panwar, Ober, and Pinkse offer a valuable typology of corporate biodiversity protection strategies based on temporal and spatial dimensions, namely, the preloss (proactive) strategies of conservation and compensation, and the ...
Joanna Scott‐Kennel, Sini Laari, Asta Salmi   +2 more
wiley   +1 more source

Photogrammetric Reconstruction of 3D Human Anatomical Structures and Augmented Reality via Smartphone Technology

Clinical Anatomy, EarlyView.
ABSTRACT Limited access to cadavers necessitates the availability of digital resources for anatomy education. Smartphone‐based photogrammetry offers a promising solution for creating three‐dimensional (3D) and augmented reality (AR) models. This study compared two mobile photogrammetry applications (Qlone and Polycam) that have been used in modern ...
Sarita Phukwantong, Paphawarin Ma‐imjai, Benrita Jitaree, Athinan Prommahom   +3 more
wiley   +1 more source

Perceived importance and didactic difficulty of chemistry education: Insights from Czech teachers

The Curriculum Journal, EarlyView.
Abstract This empirical study examines how chemistry teachers in lower and upper secondary schools in the Czech Republic evaluate the content of the chemistry curriculum, focussing on its perceived importance and didactic difficulty. Based on a quantitative survey (N = 146), the study provides insight into the pedagogical content knowledge of ...
Jitka Lorenzová, Blanka Jirkovská, Martin Čapek Adamec, Jan Havlík, Petr Holzhauser, Daniela Nováková, Karel Němejc   +6 more
wiley   +1 more source

Strengthening urban resilience in China through underground infrastructures management: Addressing global climate challenges with technological solutions

Deep Underground Science and Engineering, EarlyView.
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh, Tonni Agustiono Kurniawan, Christia Meidiana, Abdelkader Anouzla, Faissal Aziz, Imran Ali, Joan Cecilia C. Casila, M. Imran Khan, Dongdong Zhang, Meihui Jiang, Mohd Hafiz Dzarfan Othman, Md Munir Hayet Khan, Kasun Kumara Dissanayake   +12 more
wiley   +1 more source

Multi‐Hazard Shaking‐Tsunami Fatality Risk Estimation for Coastal Communities

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT This study develops a multi‐hazard fatality risk model for a coastal community (Tofino) on Vancouver Island, Canada, subjected to earthquake‐tsunami threats from the Cascadia subduction megathrust events. The model incorporates variable population distributions and uncertain fatality rate models, in addition to other key model components, such
Katsuichiro Goda
wiley   +1 more source

A Concept of Multi-Mode High Spectral Resolution Lidar Using Mach-Zehnder Interferometer

EPJ Web of Conferences, 2016
In this paper, we present the design of a High Spectral Resolution Lidar (HSRL) using a laser that oscillates in a multi-longitudinal mode. Rayleigh and Mie scattering components are separated using a Mach-Zehnder Interferometer (MZI) with the same free ...
Jin Yoshitaka, Sugimoto Nobuo, Nishizawa Tomoaki, Ristori Pablo, Otero Lidia   +4 more
doaj   +1 more source

Neuromorphic Hardware Materials for Intelligent Artificial Perception and Multimodal Fusion: From Sensing to Cognition

Interdisciplinary Materials, EarlyView.
Neuromorphic hardware enables the integration of sensing, memory, and computing for intelligent artificial perception. Recent advances in multimodal fusion further highlight its potential for embodied intelligence and next‐generation human–machine interfaces.
Yixin Zhu, Yuqing Hu, Changjin Wan, Qing Wan   +3 more
wiley   +1 more source

Application of Neural Networks for Retrieval of the CO2 Concentration at Aerospace Sensing by IPDA-DIAL lidar

Remote Sensing, 2019
Greenhouse gas concentrations are increasing over the past few decades, creating the need to measure their concentration with high accuracy, including for determining their trends, sources, and sinks.
Gennadii G Matvienko, Alexander Ya Sukhanov   +1 more
doaj   +1 more source

Overcoming spectral limits of perovskite photodetectors for the infrared region

InfoScience, EarlyView.
Infrared (IR) photodetectors are vital for modern optoelectronics, but traditional inorganic semiconductors face limitations in cost, processing, and bandgap tunability. This review provides a summary of advanced strategies to extend metal halide perovskites into the IR region, categorizing approaches into intrinsic material engineering, physical ...
Jiean Li, Bobo Li, Mingxia Qiu, Wang Zhang, Xuan Fang   +4 more
wiley   +1 more source