Results 61 to 70 of about 37,745 (280)

Screening and epitope characterization of Nidogen‐2‐specific nanobodies

FEBS Open Bio, EarlyView.
Camel immunization and phage display were employed to generate high‐affinity VHH nanobodies against Nidogen‐2. After library construction, biopanning, ELISA screening, sequencing, and recombinant expression, selected nanobodies were purified and characterized, leading to the preliminary exploration of a nanobody‐based sandwich ELISA for specific ...
Jianchuan Wen, Qianqian Cui, Zhongyun Lan, Yingjun Wang, Shuaiying Zhao, Wenxuan Feng, Yunfeng Liu, Qiting Huang, Dongna Zhang, Jianfeng Xu   +9 more
wiley   +1 more source

Automatic picking of the first arrival event using the unwrapped-phase of the Fourier transformed wavefield

, 2011
First-arrival picking has long suffered from cycle skipping, especially when the first arrival is contaminated with noise or have experienced complex near surface phenomena.
Saragiotis, Christos, Choi, Yun Seok, Yunseok Choi, Alkhalifah, Tariq Ali, Christos Saragiotis, Tariq Alkhalifah   +5 more
core   +1 more source

YlmG1 is localized exclusively to the chloroplast envelope membrane and is involved in preprotein translocation in Arabidopsis thaliana

FEBS Open Bio, EarlyView.
Cytosolically synthesized chloroplast preproteins are translocated across the outer and inner envelope membranes through translocons called TOC and TIC, respectively. In green algae and plants, the TIC core is composed of essential membrane proteins, Tic12, Tic20, and Tic214.
Mengyi Li, Xueyang Zhao, Masato Nakai
wiley   +1 more source

Quantum Phase Transition in Fully Connected Quantum Wajnflasz–Pick Model [PDF]

Journal of the Physical Society of Japan, 2019
We construct a quantum Wajnflasz-Pick model that is a generalized quantum Ising model, and investigate a nature of quantum phase transitions of the model with infinite-range interactions. Quantum phase transition phenomena have drawn attention in the field of quantum computing as well as condensed matter physics, since the phenomena are closely related
Seki, Yuya, Tanaka, Shu, Kawabata, Shiro
openaire   +2 more sources

Derivation and characterization of retinal pigment epithelium from urine‐derived iPSCs

FEBS Open Bio, EarlyView.
Age‐related macular degeneration causes vision loss via RPE dysfunction and loss. Traditional iPSC therapies rely on invasive biopsies, limiting scalability. Here, we utilize urine‐derived stem cells as an accessible source to generate u‐iPSCs, successfully differentiated into pigmented RPE. This “Urine‐to‐Retina” platform provides a promising path for
Daniella Beiner, Hainan Zhu, Carol Christine Bosholm, Heuy‐Ching Wang, Tracy Criswell, Anthony Atala, Jian‐Xing Ma, Yuanyuan Zhang   +7 more
wiley   +1 more source

An all-in-one seismic phase picking, location, and association network for multi-task multi-station earthquake monitoring

Communications Earth & Environment
Earthquake monitoring is vital for understanding the physics of earthquakes and assessing seismic hazards. A standard monitoring workflow includes the interrelated and interdependent tasks of phase picking, association, and location.
Xu Si, Xinming Wu, Zefeng Li, Shenghou Wang, Jun Zhu   +4 more
doaj   +1 more source

Construction and application of foundational models for intelligent processing of microseismic events in mines

Meitan xuebao
Under the background of intelligent mine construction, intelligent microseismic signal processing serves as the cornerstone for precise early warning of mine dynamic disasters.
Anye CAO, Maotao LI, Xu YANG, Yao YANG, Sen LI, Yaoqi LIU, Changbin WANG   +6 more
doaj   +1 more source

Research on Equipment Configuration Optimization of AGV Unmanned Warehouse

IEEE Access, 2021
To improve the throughput performance of the autonomous guide vehicle (AGV) unmanned storage system, a two-stage mathematical model was established.
Hongtao Tang, Xiaoya Cheng, Weiguang Jiang, Shouwu Chen   +3 more
doaj   +1 more source

SeismicSense: Phase Picking of Seismic Events with Embedded Machine Learning

Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing
Analyzing seismic data is essential for understanding natural geological processes and anthropogenic activities, particularly in localizing seismic events. While recent advances in seismic analysis rely heavily on resource-intensive machine learning approaches, these methods are impractical in resource-constrained environments such as underwater ...
Tayyaba Zainab, Laura Harms, Jens Karstens, Olaf Landsiedel   +3 more
openaire   +1 more source

Automatic S-Phase Picking for Volcano-Tectonic Earthquakes Using Spectral Dissimilarity Analysis

, 2020
We present an S-phase picking algorithm for volcano-tectonic earthquakes (VTs), based on the changes of frequency and amplitude expected in the plane transverse to the ray direction at S-phase arrival.
Garcia, Luz, Titos, Manuel, De la Torre, Angel, Alguacil, Gerardo, Cocina, Ornella, Benitez, Carmen   +5 more
core   +1 more source