Results 81 to 90 of about 8,827,923 (262)

CFD and field-validated investigation of forward-flight downwash airflow of a quadrotor over fruit trees at varying growth stages

Smart Agricultural Technology
The downwash airflow generated by multi-rotor plant protection UAVs during forward flight critically influences droplet deposition and drift control. While most previous studies have focused on hovering conditions or a single canopy stage, comprehensive ...
Qiwei Guo, Xiaobing Chen, Yu Tang, Chaojun Hou, Mingwei Fang, Yaozong Zhu   +5 more
doaj   +1 more source

Stage‐Dependent β‐Synuclein Links MRI and Cognitive Decline in Alzheimer's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Synaptic degeneration drives cognitive decline in Alzheimer's disease (AD), but synaptic biomarkers are scarce. Brain‐enriched β‐synuclein emerged as a synaptic damage marker. We investigated its diagnostic, prognostic, and structural correlates across the AD continuum.
Ulaş Ay, Merve Alaylioglu, Erdi Sahin, Sanem Sultan Yoruk Oner, Gulce Iskan, Gulce Cosku Yilmaz Cakan, Gozde Kizilates‐Evin, Emre Hari, Elif Kurt, Erdinc Dursun, Basar Bilgic, Hasmet Hanagasi, Hakan Gurvit, Tamer Demiralp, Duygu Gezen‐Ak, Bedia Samanci   +15 more
wiley   +1 more source

Error field predictability and consequences for ITER

Nuclear Fusion
ITER coil tolerances are re-evaluated using the modern understanding of coupling to least-stable plasma modes and an updated center-line-traced model of ITER’s coil windings. This reassessment finds the tolerances to be conservative through a statistical,
M. Pharr, N.C. Logan, C. Paz-Soldan, J.K. Park, C. Hansen   +4 more
doaj   +1 more source

Performance Testing of Medical Ultrasound Diagnostic Equipment Based on Tissue-Mimicking Phantom

Zhongguo yiliao qixie zazhi
This study aims to ensure the effectiveness of medical ultrasound diagnostic equipment in clinical applications by testing multiple key performance indicators using tissue-mimicking phantoms and exploring the changes in these performance indicators over ...
Hao LIU, Longyang JIA, Ruiyao JIANG
doaj   +1 more source

An investigation of correlation factors linking footing resistance on sand with cone penetration test results [PDF]

, 2012
Significant research effort has led to improvements in our ability to estimate the ultimate bearing resistance of footings in sand. These techniques often estimate the footing resistance at relatively large displacements, typically 10% of the footing ...
Gavin, Kenneth, Tolooiyan, Ali
core   +1 more source

Nationwide Survey of Association Between Fever and Epileptic Seizure in CDKL5 Deficiency Disorder Revealed Therapeutic Implications

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective CDKL5 deficiency disorder (CDD) is a rare, severe developmental and epileptic encephalopathy. There is a pressing need to develop effective and sustainable therapeutic strategies. We aimed to investigate the causal association between febrile episodes and epileptic seizures for therapeutic implications in CDD patients.
Siyi Wang, Jialin Du, Jinghui Liu, Dongmei Hu, Hongxin Wang, Xiaoxiao Man, Lehong Gao, Shimin Hu, Xianghong Meng, Hongyang Zhao, Minjing Hu, Yingxue Yang, Zhiqi Xiong, Liankun Ren   +13 more
wiley   +1 more source

Leveraging dense layer hybrid graph neural networks for managing overvoltage in PV-dominated distribution systems

Results in Engineering
The rapid integration of photovoltaic (PV) systems into electrical distribution networks poses significant challenges, particularly regarding the management of overvoltage issues when generation exceeds demand.
Asif Gulraiz, Syed Sajjad Haider Zaidi, Haseeb Gulraiz, Bilal Muhammad Khan, Majid Ali, Baseem Khan   +5 more
doaj   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

A Note on Predicting Rate of Penetration Using Machine Learning Models [PDF]

JES: Journal of Engineering Sciences
Rate of Penetration (ROP) is a critical parameter influencing drilling efficiency and accelerating field development. Although conventional ROP models (e.g., Bourgoyne, Hareland) provided reasonable results, they often struggle with limited accuracy and ...
Ahmad Husseiny, Attia Attia, Ahmed Hagag
doaj   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source