Results 91 to 100 of about 431,560 (339)
The unrolling of the peltate leaves in Syngonium podophyllum is analyzed and quantified (left‐hand side to center). These measurements serve to verify a mathematical model for leaf unrolling based on the model used in Schmidt (2007). An additional formula for obtaining a layer mismatch from a prescribed radius is derived.
Michelle Modert +4 more
wiley +1 more source
In heavy duty diesel engines, reductions of exhaust emissions and improvement in thermal efficiency have been strongly required from a view point of the prevention of air pollution and global warming.
Takuya YAMAGUCHI
doaj +1 more source
A Spatially Resolved View on the Aging Substantia nigra: An Exploratory Proteomic Study
Although aging is the most important risk factor for several neurodegenerative diseases, the molecular effects of physiological aging are still understudied. By applying spatially‐resolved proteomic analyses of the human substantia nigra pars compacta, alterations in vesicular trafficking and mitochondrial proteins are observed, as well as reduced ...
Britta Eggers +10 more
wiley +1 more source
In recent years, industrial boilers that generate power from biomass have drawn a lot of attention. Nevertheless, a sizable portion of thermal energy is frequently lost to the environment as flue gas throughout the process.
Nik Kechik Mujahidah NIK ABDUL RAHMAN +5 more
doaj +1 more source
Holographic heat engine with momentum relaxation
We investigate the heat engine defined via black hole with momentum relaxation, which is introduced by massless axion fields. We first study the extended thermodynamical properties of the black hole and then apply it to define a heat engine.
Fang, Li-Qing, Kuang, Xiao-Mei
core +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani +2 more
wiley +1 more source
This study analyzed the variation law of engine exhaust energy under various operating conditions to improve the thermal efficiency and fuel economy of diesel engines. An organic Rankine cycle (ORC) waste heat recovery system with internal heat exchanger
Kai Yang +7 more
doaj +1 more source
Thermoelectric study of dissipative quantum dot heat engines
This paper examines the thermoelectric response of a dissipative quantum dot heat engine based on the Anderson-Holstein model in two relevant operating limits: (i) when the dot phonon modes are out of equilibrium, and (ii) when the dot phonon modes are ...
De, Bitan, Muralidharan, Bhaskaran
core +1 more source
ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur +5 more
wiley +1 more source
Optimization of a Thermoacoustic Engine with a Complex Heat Transfer Exponent
: Heat transfer between a thermoacoustic engine and its surrounding heat reservoirs can be out of phase with oscillating working gas temperature. The paper presents a generalized heat transfer model using a complex heat transfer exponent.
Lingen Chen +4 more
doaj +1 more source

