Results 161 to 170 of about 2,504,885 (377)

Automatic verification of database transaction safety

ACM Transactions on Database Systems, 1989
T. Sheard, D. Stemple
semanticscholar   +1 more source

A Sin of Omission: Database Transactions

, 2005
Database courses are under increasing pressure to include new topics which inevitably leads to a decision about which topics are essential to the course and which can be omitted to make room for others. Recent surveys have indicated that many instructors
Hansen, David
core  

Testosterone Delays Bone Microstructural Destruction via Osteoblast‐Androgen Receptor‐Mediated Upregulation of Tenascin‐C

Advanced Science, EarlyView.
This study reveals that Testosterone–Androgen Receptor signaling delays elderly male bone destruction by upregulation of the osteoblastic extracellular tenascin‐C (TNC). The osteoprotective effect of fibrinogen C‐terminus of TNC is demonstrated in male osteoporotic mice model that osteoblast‐specific Ar‐knockout, potentially via inhibition of ...
Yong Xie, Meng Pan, Zeyuan Zhang, Licheng Zhang, Haotian Liu, Xia Wang, William W Lu, Peifu Tang, Wei Ge   +8 more
wiley   +1 more source

ATF3 Deficiency Exacerbates Ageing‐Induced Atherosclerosis and Clinical Intervention Strategy

Advanced Science, EarlyView.
Targeting ATF3 with terazosin to against VSMC Senescence and atherosclerosis. TZ reduces the binding affinity of YTHDF2 to Atf3 mRNA, while enhancing mRNA stability. ATF3 promotes Atg7 transcription, enhancing autophagy. ATG7 binds to ATF3 in the cytoplasm, facilitating ATF3 translocation to the nucleus and establishing positive feedback. By modulating
Hao Nie, Tianyi Ji, Zixin Wan, Jie Huang, Han Li, Lingjiao Zou, Zhen Yang, Jiarui Li, Yuqi Guan, Lei Ruan, Jinhua Yan, Cuntai Zhang   +11 more
wiley   +1 more source

deepTFBS: Improving within‐ and Cross‐Species Prediction of Transcription Factor Binding Using Deep Multi‐Task and Transfer Learning

Advanced Science, EarlyView.
DeepTFBS leverages deep learning to predict transcription factor binding sites across species, integrating multi‐task and transfer learning approaches to improve performance in data‐scarce scenarios. This study demonstrates enhanced accuracy in intra‐ and cross‐species prediction, revealing conserved regulatory patterns and functional variants.
Jingjing Zhai, Yuzhou Zhang, Chujun Zhang, Xiaotong Yin, Minggui Song, Chenglong Tang, Pengjun Ding, Zenglin Li, Chuang Ma   +8 more
wiley   +1 more source

Smart Health Evaluation for Lithium‐Ion Battery With Super‐Short‐Segment Charging

Advanced Science, EarlyView.
This study proposes a health feature extraction method integrating degradation mechanism‐guided scale‐invariant feature transform with machine learning for lithium‐ion batteries. Validated across 87 commercial cells with diverse chemistries and formats, it achieves 1.97% RMSE in capacity estimation using only 10% charging segments. The approach enables
Qinghua Li, Zhongbao Wei, Hongwen He, Jun Shen, Yang Li, Xiaoguang Yang, Mahinda Vilathgamuwa   +6 more
wiley   +1 more source

Interface Controlled Electric Field Swing Adsorption

Advanced Science, EarlyView.
Swing adsorption of Ar, N2, and CO2 under moderate electric fields and elevated pressures at room temperature is investigated. Multiple charged conductor‐insulator interfaces enable a selective adsorption behavior of the three gases while CO2 shows a 10 fold increase in the effect over Ar and N2.
Silvio Heinschke, Jörg J. Schneider
wiley   +1 more source

Impact of Disorder, Porosity, and Surface Chemistry of Salt Templated Carbons on Capacitance

Advanced Science, EarlyView.
Soft‐salt templating method allowed to obtain a series of tailored porous carbons for EDLCs. Neutral aqueous electrolytes enabled to reach 1.6 V. Linear dependence of ID/IG ratio vs. capacitance values has been proven. Active surface area related to carbon defects supported the Raman findings.
Amelia Klimek, Bénédicte Réty, Camélia Matei Ghimbeu, Elzbieta Frackowiak   +3 more
wiley   +1 more source

Principles of transaction-oriented database recovery

CSUR, 1983
Theo Härder, A. Reuter
semanticscholar   +1 more source

Decoding Handwriting Trajectories from Intracortical Brain Signals for Brain‐to‐Text Communication

Advanced Science, EarlyView.
By developing a novel framework that optimizes both shape and temporal loss during decoder training, the authors successfully reconstruct human‐recognizable handwriting trajectories from intracortical neural signals for both Chinese characters and English letters, effectively resolving the temporal misalignment problem in clinical BCIs, thereby ...
Guangxiang Xu, Zebin Wang, Kedi Xu, Junming Zhu, Jianmin Zhang, Yueming Wang, Yaoyao Hao   +6 more
wiley   +1 more source