Results 321 to 330 of about 311,055 (402)

Maternal exposure to fine particulate matter and pregnancy outcomes in women undergoing <i>in vitro</i> fertilization: A multicenter retrospective study. [PDF]

Eco Environ Health
Chen M, Fang Y, Li Y, Hao G, Wu X, Sun Y, Tan J, Niu Y, Du X, Li Y, Luo Z, Hu F, Li Y, Wu S, Yang Y, Bukulmez O, Shu-Biu YW, Norman RJ, Kan H, Teng X.   +19 more
europepmc   +1 more source

3D Polymeric Nanonetworks: From Self‐Assembly to Advanced Fabrication

Macromolecular Materials and Engineering, EarlyView.
This review provides the first systematic cross‐method comparison of fabrication techniques for 3D polymeric nanonetworks. It evaluates five key strategies—block copolymer self‐assembly, hyper‐crosslinking, template‐assisted methods, 3D printing, and nanolithography—across critical metrics including resolution, throughput, scalability, and material ...
Carlos G. Cobos, Xiang Yan, Marisol Martín‐González   +2 more
wiley   +1 more source

Fine particulate matter, physical activity and cardiovascular disease in middle-aged and older Chinese adults. [PDF]

BMJ Open Sport Exerc Med
Li W, Luo W, Guo S, Yang Y, Yi J, Li C, Shen G, Gao H.   +7 more
europepmc   +1 more source

Short-term exposure to fine particulate matter exposure impairs innate immune and inflammatory responses to a pathogen stimulus: A functional study in the zebrafish model

Marco Cafora, Sabrina Rovelli, Andrea Cattaneo, Anna Pistocchi, Luca Ferrari   +4 more
openalex   +2 more sources

Role of High Fidelity Vs. Low Fidelity Experimental Data in Machine Learning Model Performance for Predicting Polymer Solubility

Macromolecular Rapid Communications, EarlyView.
The performance of machine learning models for classifying polymer solubility improves when a high‐fidelity experimental dataset is used compared to a low‐fidelity experimental dataset. This has important implications for justifying the value of spending additional time and resources preparing detailed experimental datasets.
Mona Amrihesari, Manali Banerjee, Raul Olmedo, Blair Brettmann   +3 more
wiley   +1 more source

A State of the Science Review of Wildfire-Specific Fine Particulate Matter Data Sources, Methods, and Models. [PDF]

Environ Health Perspect
Orr A, Adam CE, Graham J, Holden ZA, Hu L, Jaffar Z, Leary C, Migliaccio CT, Mullan K, Noonan C, Semmens EO, Urbanski S, Walker E, Landguth EL.   +13 more
europepmc   +1 more source

COMPARATIVE EVALUATION OF AMBIENT FINE PARTICULATE MATTER (PM2.5) DATA OBTAINED FROM URBAN AND RURAL MONITORING SITES ALONG THE UPPER OHIO RIVER VALLEY

, 2004
Robinson P. Khosah, John P. Shimshock
openalex   +2 more sources

Solid Particle Erosion and Predictive Modeling of Epoxy Composites Reinforced With Diatom Frustules

Polymer Composites, EarlyView.
Schematic representation of the solid particle erosion process and predictive modeling workflow for diatom frustule‐reinforced epoxy composites, illustrating the test setup, erosion response curve, and filler‐matrix interaction. ABSTRACT This study examines the solid particle erosion wear behavior of epoxy composites reinforced with 5–20 wt% calcined ...
Elif Gültürk, Eser Yarar, Orkan Baran Korkusuz, Aleyna Kara, Tamer Sınmazçelik   +4 more
wiley   +1 more source

Potentially toxic metals, source apportionment, meteorological impacts and health risks assessment of fine particulate matter (PM2.5) over Ilorin, Nigeria. [PDF]

Sci Rep
Nwabachili S, Falaiye O, Orosun M, Adeniran J.   +3 more
europepmc   +1 more source

Comparing the interactions between particulate matter and cloud properties over two populated cities in Texas using WRF-Chem fine-resolution modeling

Nima Khorshidian, Yunsoo Choi, Seyedali Mousavinezhad, Arman Pouyaei, Jincheol Park, Jiwen Fan   +5 more
openalex   +2 more sources