Results 61 to 70 of about 23,749 (256)

Microscale Mapping of Fiber Strain and Damage in Composite Wrinkled Laminates Using Computed Tomography Assisted Wide‐Angle X‐Ray Scattering

Advanced Science, EarlyView.
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong, James Trevarthen, Igor Dolbnya, Wadwan Singhapong, Nicholas Pilato, Richard Butler, Jiraphant Srisuriyachot, Alexander J. G. Lunt   +7 more
wiley   +1 more source

Convex Regression with a Penalty

CoRR
A common way to estimate an unknown convex regression function $f_0: Ω\subset \mathbb{R}^d \rightarrow \mathbb{R}$ from a set of $n$ noisy observations is to fit a convex function that minimizes the sum of squared errors. However, this estimator is known for its tendency to overfit near the boundary of $Ω$, posing significant challenges in real-world ...
openaire   +2 more sources

Convex block-sparse linear regression with expanders -- provably

CoRR, 2016
Sparse matrices are favorable objects in machine learning and optimization. When such matrices are used, in place of dense ones, the overall complexity requirements in optimization can be significantly reduced in practice, both in terms of space and run-time.
Kyrillidis, Anastasios, Bah, Bubacarr, Hasheminezhad, Rouzbeh, Tran Dinh, Quoc, Baldassarre, Luca, Cevher, Volkan   +5 more
openaire   +4 more sources

Senolytic Therapy as a Preventive Strategy for Spine Degeneration and Pain

Advanced Science, EarlyView.
Cellular senescence promotes inflammation, tissue degeneration, and chronic back pain. In sparc‐null mice, early oral administration of the senolytic agents o‐vanillin and RG‐7112 reduced senescent cell burden and pro‐inflammatory SASP signaling across intervertebral discs, endplates, vertebral bone, and spinal cord.
Saber Ghazizadeh, Hosni Cherif, Matthew Mannarino, Juiena Sagir, Magali Millecamps, Jean A. Ouellet, Laura S. Stone, Lisbet Haglund   +7 more
wiley   +1 more source

The correction range of lumbosacral curve vertebral body tilt in degenerative scoliosis for achieving postoperative coronal balance

BMC Musculoskeletal Disorders
Purpose To explore the relationship between lumbosacral curve vertebral body tilt correction and postoperative coronal balance in adult degenerative scoliosis to determine the ideal target values for the tilt correction.
Zehua Jiang, Ziyang Liu, Chuanxu Li, Xuanhao Fu, Hao Yu, Xuan Wang, Maosen Zhang, Linyan Liu, Yuelin Cheng, Wenjun Du, Rusen Zhu   +10 more
doaj   +1 more source

An Accelerated Successive Convex Approximation Scheme With Exact Step Sizes for L1-Regression

IEEE Open Journal of Signal Processing
We consider the minimization of $\ell _{1}$-regularized least-squares problems. A recent optimization approach uses successive convex approximations with an exact line search, which is highly competitive, especially in sparse problem instances. This work
Lukas Schynol, Moritz Hemsing, Marius Pesavento   +2 more
doaj   +1 more source

A New Convex Estimator Combining Ridge and Ordinary Least Squares Estimators [PDF]

مجلة جامعة الانبار للعلوم الصرفة
In the presence of high correlation between the independent variables in the linear regression model, which is known as the multicollinearity problem, the ordinary least squares estimator produce large variations in the sample.
Karam Al-janabi, Mustafa Alheety
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source