Results 101 to 110 of about 12,339 (203)

A Sensor‐to‐Algorithm Framework for Respiration Monitoring: Stretchable Strain Sensors Coupled With Machine Learning Feature Optimization

open access: yesAdvanced Sensor Research, Volume 5, Issue 8, August 2026.
Machine learning optimization for respiration using strain sensors. ABSTRACT Reliable classification of respiration states is essential for wearable technologies and clinical monitoring, yet robust methods for distinguishing subtle waveform differences across breathing conditions remain limited.
Youngjun Lee   +5 more
wiley   +1 more source

Isotonic Regression by Dynamic Programming.

open access: yes, 2019
For a given sequence of numbers, we want to find a monotonically increasing sequence of the same length that best approximates it in the sense of minimizing the weighted sum of absolute values of the differences. A conceptually easy dynamic programming approach leads to an algorithm with running time O(n log n).
openaire   +3 more sources

Mesenchymal Stromal Cell‐Mediated Intercellular Communication: Mapping the Interactome for Skeletal Muscle Homeostasis and Regeneration

open access: yesAdvanced Science, Volume 13, Issue 46, 17 August 2026.
Liu et al. define a systems‐level interactome of fibroadipogenic progenitor (FAP)‐mediated signaling in skeletal muscle by integrating single‐cell transcriptomics with FAP depletion‐based perturbation analysis. Functional interrogation using a conditioned media bioassay links predicted signaling to multicellular outcomes, establishing a framework to ...
Xingyu Liu   +13 more
wiley   +1 more source

Sparse High-Dimensional Isotonic Regression

open access: yes, 2019
We consider the problem of estimating an unknown coordinate-wise monotone function given noisy measurements, known as the isotonic regression problem. Often, only a small subset of the features affects the output. This motivates the sparse isotonic regression setting, which we consider here.
Gamarnik, David, Gaudio, Julia
openaire   +4 more sources

Systemic Corticosteroids in the Management of Sinonasal Disease: An Evidence‐Based Expert Review

open access: yesInternational Forum of Allergy &Rhinology, Volume 16, Issue 8, Page 852-879, August 2026.
ABSTRACT Background Chronic rhinosinusitis (CRS) is a prevalent, heterogeneous inflammatory disease associated with significant morbidity. Systemic corticosteroids (SCS) are commonly prescribed for their anti‐inflammatory effects, but cumulative exposure carries risks, including metabolic, cardiovascular, and skeletal complications.
Andrew Thamboo   +28 more
wiley   +1 more source

Expert Treatment Considerations for Lower Face and Neck Rejuvenation

open access: yesDermatological Reviews, Volume 7, Issue 4, August 2026.
ABSTRACT Background The lower face and neck are essential to overall facial harmony and a balanced appearance. Although most nonsurgical treatments have focused on the upper and midface, a variety of minimally invasive options are now available for treating the lower face and neck that target different aesthetic concerns and provide welcome ...
Sabrina Fabi   +6 more
wiley   +1 more source

Chaetocarpus castanocarpus Bark Extract Alleviates Pain, Pyrexia, Diarrhea, Hyperglycemia, and Oxidative Stress: Evidence From Integrated In Vitro and In Vivo Studies

open access: yesFood Science &Nutrition, Volume 14, Issue 8, August 2026.
Graphical abstract illustrating Chaetocarpus castanocarpus bark extract alleviates pain, pyrexia, diarrhea, hyperglycemia, and oxidative stress: Evidence from integrated in vitro and in vivo studies. ABSTRACT There is a history of using the medicinal plant Chaetocarpus genus, native to Southeast Asia, to treat a wide range of illnesses.
Rakibur Rahman   +10 more
wiley   +1 more source

Machine learning algorithms for prediction of cerebrospinal fluid leakage after posterior surgery for thoracic ossification of the ligamentum flavum

open access: yesScientific Reports
To develop and validate a machine-learning (ML) model that pre-operatively predicts cerebrospinal-fluid leakage (CSFL) after posterior decompression for thoracic ossification of the ligamentum flavum (TOLF), and to elucidate the key risk factors driving ...
Ruizhou Guo   +6 more
doaj   +1 more source

Improving the Finite Sample Estimation of Average Treatment Effects Using Double/Debiased Machine Learning With Propensity Score Calibration

open access: yesJournal of Applied Econometrics, Volume 41, Issue 5, Page 613-626, August 2026.
ABSTRACT Double/debiased machine learning (DML) uses for estimating an average treatment effect (ATE) a double‐robust score function that relies on the prediction of nuisance functions, such as the propensity score, which is the probability of treatment assignment given covariates.
Daniele Ballinari, Nora Bearth
wiley   +1 more source

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