Results 61 to 70 of about 11,867 (258)

Erwin Schrödinger und die Versuchungen der (Wissenschafts‐)Biografik: Vorurteilsgefüge und Mechanismen der Skandalisierung

Berichte zur Wissenschaftsgeschichte, EarlyView.
Since late 2021, serious allegations have been made against physicist Erwin Schrödinger, ranging from pedophilia to serial sexual abuse. These accusations have significantly tarnished the Nobel Prize winner's public reputation. The ongoing debate has repeatedly raised the question of whether, and to what extent, these grave allegations are justified ...
Magdalena Gronau, Martin Gronau
wiley   +1 more source

Flight of the dragons: a global review of migration in Odonata

Biological Reviews, EarlyView.
ABSTRACT Insects are the most abundant and ecologically important animal migrants. Yet, we know relatively little about the patterns and processes underlying insect migration. Dragonflies (Anisoptera) and damselflies (Zygoptera) comprise the ancient insect order Odonata, whose ancestors were the first organisms to fly on Earth.
Johanna S.U. Hedlund, Myles Menz, Jason W. Chapman, Alexander Hayward   +3 more
wiley   +1 more source

Extracting animal migration pattern from weather radar observation based on deep convolutional neural networks

The Journal of Engineering, 2019
The weather radar can operate in all weathers and all time, and has a large coverage area. Besides monitoring the weather, the weather radar can receive other echoes including biological echoes.
Cheng Hu, Siwei Li, Rui Wang, Kai Cui, Dongli Wu, Shuqing Ma   +5 more
doaj   +1 more source

Connecting Thoughts and Actions: A Managerial Process Model on Circular Business Model Innovation

Business Strategy and the Environment, EarlyView.
ABSTRACT Addressing environmental grand challenges such as resource scarcity requires circular business model innovation (CBMI) that enables firms to efficiently close and slow resource cycles through novel activity systems. Drawing on a grounded theory approach based on 59 in‐depth interviews with top managers from Swiss SMEs, we developed a process ...
Fabian Takacs, Karolin Frankenberger
wiley   +1 more source

The Tree of Life Synagogue Attack: A Terrorist Radicalization Assessment Protocol‐18 Examination of Pre‐Attack Warnings and Post‐Attack Contagion and Copycat Effects

Behavioral Sciences &the Law, EarlyView.
ABSTRACT This is a retrospective case study of an antisemitic lone actor terrorist who completed the deadliest attack against the Jewish community in American history. The analysis through the lens of the Terrorist Radicalization Assessment Protocol (TRAP‐18) finds that 72% of the warning indicators were present, including four proximal warning ...
Molly Amman, Julia Kupper, J. Reid Meloy
wiley   +1 more source

Measuring the Height of Volcanic Clouds Using Weather Radar : Case Study Mount Sinabung Eruptions in Medan, Indonesia

Indonesian Journal of Geography
Apart from being used to observe hydrometeorological phenomena, weather radar can also be used to observe volcanic eruptions. Weather radar reflectivity data can describe the estimated height of volcanic eruptions, while the HYSPLIT (Hybrid Single ...
Hesti Heningtiyas, Budhi Achmadi, Asep Adang Supriyadi, Syachrul Arief, Rindita Charolydya   +4 more
doaj   +1 more source

Polarization Characteristics Simulation of Airborne Weather Radar Rainfall Target Based on Numerical Weather Prediction

Leida xuebao, 2016
Meteorological target simulation using polarization information is the foundation of the theoretical research and design application of dual-polarization Doppler weather radar.
Liu Xia, Han Yanfei, Li Hai, Lu Xiaoguang, Wu Renbiao   +4 more
doaj   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

Hybrid machine learning and genetic algorithm approach for catalyst and process optimization in Fischer–Tropsch synthesis toward sustainable fuel production

The Canadian Journal of Chemical Engineering, EarlyView.
Graphical representation of a data‐driven framework for Fischer‐Tropsch synthesis (FTS) modelling and optimization. Abstract This study presents a data‐driven approach for predicting the relationships between catalyst design, process conditions, and product selectivity in Fischer–Tropsch synthesis (FTS).
Doaa M. Hassan, Ryan Gosselin, Nicolas Abatzoglou   +2 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