Results 71 to 80 of about 27,954 (258)
Current Developments in Ultra-Light Weight Concrete
, 2023 Concrete, one of today's most important building materials, has different special types. One of them is lightweight concrete (LC). With the studies carried out on lightweight concretes (LWC), the unit weights tried to be reduced, and ultra-light concretes (ULWC) were tested.
TOPÇU, İlker Bekir +2 more
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Surface Modification of Autoclaved Light Weight Concrete
Journal of the Ceramic Association, Japan, 1987 Surface properties of commercial autoclaved light weight concrete (ALC) having 1.1nm-tobermorite as a major constitutional mineral were investigated. The effective field strength of the ALC surface was determined as 6.6×105e.s.u./cm2 from the slope of linear relation between heat of immersion (hi (sl)) and dipole moment of immersing media.
NAKAMURA, Masahiko +2 more
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Physical Origin of Temperature Induced Activation Energy Switching in Electrically Conductive Cement
Advanced Science, EarlyView.The temperature‐induced Arrhenius activation energy switching phenomenon of electrical conduction in electrically conductive cement originates from structural degradation within the biphasic ionic‐electronic conduction architecture and shows percolation‐governed characteristics: pore network opening dominates the low‐percolation regime with downward ...
Jiacheng Zhang +7 more
wiley +1 more source
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Advanced Science, EarlyView.Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
Advanced Science, EarlyView.Stem cell differentiation follows a conserved surface condensate trajectory: H3K27ac super enhancers nucleate large RNA polymerase II clusters that grow and unfold before transcriptional activity disperses them. This work reveals how biophysical forces at enhancer surfaces dynamically build and dismantle stem cell transcription hubs, reshaping cell ...
Tim Klingberg +18 more
wiley +1 more source
The Recent Research on Bamboo Reinforced Concrete
MATEC Web of Conferences, 2017 The paper presents the last research on bamboo reinforced concrete in Brawijaya University Indonesia. Three kinds of structures studied in recent year, the mounting of pegs on reinforcement, the use of lightweight brick to reduce the weight of the beams,
Dewi Sri Murni, Nuralinah Devi
doaj +1 more source
Analysis of infilled beams using method of initial functions and comparison with FEM
Engineering Science and Technology, an International Journal, 2014 This paper presents a study carried out on reinforced concrete infilled beams. In reinforced concrete beams, less stressed concrete near neutral axis can be replaced by some light weight material like bricks to reduce the weight of the structure and also
Rakesh Patel, S.K. Dubey, K.K. Pathak
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Advanced Science, EarlyView.Fibrotic liver stiffness activates hepatic stellate cells through Piezo1‐dependent calcium influx and ER stress, promoting EV‐associated GMFG release. Delivered GMFG engages TNS4 in pancreatic cancer cells, triggering FAK/AKT signaling, adhesion, and fatty acid synthesis.
Biwen Zhu +11 more
wiley +1 more source
Feasibility Study On Conventional Concrete And Cellular Light Weight Concrete (Foamed Concrete)
, 2016 Lightweight Concrete is a type of concrete which contains an expanding agent which increases the volume of the mixture while giving additional qualities such asnailbility and reduces the dead weight. It is lighter than the conventional concrete used . Countries like USA,United Kingdom and Sweden has been using lightweight concrete regularly in recent ...
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Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization
Advanced Science, EarlyView.A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley +1 more source