Results 101 to 110 of about 47,788 (267)

Research on Heat Transfer Enhancement of Spiral Grooved Tube Heat Exchangers Based on CFD and Artificial Intelligence

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Driven by the energy crisis and carbon neutrality goals, high‐efficiency heat exchange equipment has become a core demand in the industrial sector. The spiral grooved double‐pipe heat exchanger exhibits significant heat transfer enhancement advantages, yet it requires balancing heat transfer efficiency and pressure loss.
Yueyun Yang, Wei Li, Xiuzhi Xi, Neng Gao
wiley   +1 more source

Residual Strength Prediction of Chemically Reactive Two‐Phase Nanofluid Flow in a Bingham–Papanastasiou Rheological Theory Using a Morlet‐Based Wavelet Neural Network Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The behavior of nanofluid flow involving a zero‐mass flux condition has received considerable interest because of a realistic scenario. In reality, this condition confines the optimistic accumulation or disappearance of nanoparticles past a sheet, constructing a more physically realistic demonstration through several applications, such as heat
Umair Khan, Hamza Rauf, Aurang Zaib, J. K. Madhukesh   +3 more
wiley   +1 more source

Feedback strategies: Applying theory to practice

Anatomical Sciences Education, EarlyView.
Abstract Feedback is a cornerstone of the learning process, as evidenced by extensive educational research on enhancing its process and impact. However, learners consistently rate the quality of feedback lower compared to other aspects of teaching. Over the past decade, feedback models have shifted from a traditional, one‐way transmission from educator
Jenny Clancy, Bipasha Choudhury, Subha Ramani   +2 more
wiley   +1 more source

Synchronization‐Performance‐Oriented Frequency‐Domain Iterative Learning Control for Wafer and Reticle Stages

Asian Journal of Control, EarlyView.
ABSTRACT The synchronization accuracy between the wafer stage and reticle stage in lithography is critical to overlay and critical dimension uniformity. Existing iterative learning control (ILC) methods indirectly optimize synchronization via time‐domain errors, failing to balance low‐frequency tracking accuracy and high‐frequency noise suppression ...
Xin Zhou, Yuejing Qi, Zhipeng Wu, Wei Qi, Tianwei Xu   +4 more
wiley   +1 more source

Harnessing ferroptosis from multilayer defense networks to nanoplatforms for specific cancer therapy

BMEMat, EarlyView.
Nanomaterials target metabolically‐regulated ferroptosis for cancer therapy. Iron‐based or alternative nanoplatforms integrate ferroptosis with chemotherapy, immunotherapy, or radiotherapy. They enable stimulus‐responsive therapies (photothermal, photodynamic, sonodynamic) activated by near‐infrared, light, or ultrasound, achieving potent synergistic ...
Xinyue Xu, Xuejian Wang, Wenyan Jiang, Wan Hairul Anuar Kamaruddin, Chunyan Fang, Pengfei Zhang   +5 more
wiley   +1 more source

Do Banks in the Middle East and North Africa Region Price Carbon Exposure?

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines whether carbon exposure is incorporated into corporate borrowing costs within the Middle East and North Africa (MENA) region. Using a panel of 771 firm‐year observations from publicly listed non‐financial firms between 2016 and 2023, the analysis investigates the relationship between carbon intensity and firms' cost of debt
Yara Ibrahim, Khaled Hussainey, Taghred Mokhtar Sayed Moawad   +2 more
wiley   +1 more source

What Makes A Business Ecosystem Circular? A Multilevel Review

Business Strategy and the Environment, EarlyView.
ABSTRACT Drawing on multilevel and complexity theories, this research identifies new and reframed core principles of circular business ecosystems (CBEs), thereby clarifying what makes a business ecosystem circular. Although CBEs are increasingly recognised as adaptive systems shaped by interdependencies and non‐linear interactions, how circularity ...
Irene Bubbola, Cinzia Battistella, Giovanna Attanasio   +2 more
wiley   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

A Co‐Designed Implicit‐Reset Path PFD and Current Mismatch Compensated CP Enabling Sub‐0.5% Mismatch and Dead Zone‐Free for Low‐Spur PLLs

International Journal of Circuit Theory and Applications, EarlyView.
A co‐designed implicit‐reset phase‐frequency detector (PFD) and nonlinear amplifier‐assisted charge pump (CP) achieve dead zone‐free operation from 10 MHz to 4.7 GHz with < 0.5% current mismatch without calibration, enabling −80 dBc of reference spur and 0.50 ps of RMS jitter in a 180 nm of CMOS PLL.
A. Ghaemnia, Jincheng Yang, Xiaojiong Fei, G. Zhang   +3 more
wiley   +1 more source

DinoFlow: Self‐supervised pretraining in flow cytometry enables accurate detection of common hematopathological disorders

Cytometry Part B: Clinical Cytometry, EarlyView.
Abstract Flow cytometry is an essential component of routine hematological lab testing. Many computational methods have been proposed for the analysis of flow cytometry data, but most have focused on supervised learning for just one or a few specific disorders.
Brendan O'Fallon, Muir Morrison, Mattia Medina Grespan, Nicholas C. Spies, David P. Ng   +4 more
wiley   +1 more source