Results 181 to 190 of about 1,311,056 (352)

Investigation of Hexagonal Honeycomb Topology for Impact Optimization in Energetic Material

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The regulation of the mechanical properties of energetic materials manufactured by traditional processes is constrained. However, the introduction of lattice structures can facilitate the regulation of mechanical properties without necessitating alterations to the materials themselves. Using finite element analysis and experimental validation,
Xueye Chen   +4 more
wiley   +1 more source

Examining APOE ε4 and Longitudinal Vascular Brain Injury: The Strong Heart Study. [PDF]

open access: yesNeurol Open Access
Hayes CA   +8 more
europepmc   +1 more source

Integrated Evaluation of Contaminant Profiles, Detection Techniques, and Management Strategies for Tannery Sludge

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This review article critically examines the environmental and health hazards of tannery sludge (TS), a complex by‐product of the leather tanning industry. TS is characterized by a diverse array of contaminants, including heavy metals like chromium, organic pollutants such as polycyclic aromatic hydrocarbons (PAHs), volatile organic compounds ...
Yashar Aryanfar   +10 more
wiley   +1 more source

Indian Centuplets [PDF]

open access: yesJournal of the Royal Society of Medicine, 1997
openaire   +2 more sources

Technobiological Pathways for High‐CO₂ Capture Using Micro‐/Macroalgae: Genetic Engineering, Process Automation, and Value‐Added Bioproducts

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Greenhouse gas (GHG) emissions have emerged as one of the most critical drivers of climate change; this is primarily due to high concentrations and long atmospheric life of carbon dioxide (CO2). For a significant amount of time, various biological processes such as microalgal cultivation, cyanobacterial systems, photosynthetic microorganisms ...
Sadhana Semwal, Harish Chandra Joshi
wiley   +1 more source

An artificial neural network–based deep learning model to predict combined stress impact and interaction in plants

open access: yesApplications in Plant Sciences, EarlyView.
Abstract Premise Plants are frequently exposed to combinations of abiotic and biotic stresses that pose a greater threat to yield and productivity than individual stresses. However, knowledge of the impact of many stress combinations in numerous plants is limited due to the lack of experimental data, which could take decades to generate.
Piyush Priya   +7 more
wiley   +1 more source

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