Results 31 to 40 of about 3,414,860 (299)

Performance Assessment of Wood-Based Composite Materials Subjected to High Temperatures

Buildings
This paper is based on research placed within the broader framework of the growing environmental impact requirements of building materials. Given this context, wood-based composite materials have emerged as a promising and innovative solution for ...
Ruxandra Irina Erbașu, Andrei-Dan Sabău, Daniela Țăpuși, Ioana Teodorescu   +3 more
doaj   +1 more source

Numerical investigation of a PV-assisted hybrid ventilation strategy for monitor roofs [PDF]

E3S Web of Conferences
Weak wind conditions can substantially reduce the ventilation capacity of monitor-roof systems, especially in hot regions. To address this limitation, the present study examines a roof-assisted hybrid ventilation concept in which PV-supplied fans are ...
Lin Yi-Pin, Huang Tzu-Ling, Chen Rong-Horng, Lai Chi-Ming   +3 more
doaj   +1 more source

Versatile vector tools for efficient protein screening across multiple expression systems

FEBS Open Bio, EarlyView.
A unified vector toolkit enables rapid protein expression screening across E. coli, insect, and mammalian cells. A single primer pair amplifies the target gene, which is inserted into any vector via a standardized interface. This streamlined workflow eliminates repeated cloning steps, accelerating the identification of optimal expression conditions for
Zhimin Zhu, Yaqing Liu, Lei Qin, Feng Yu, Qisheng Wang, Yahui Liu   +5 more
wiley   +1 more source

A GIS-Assisted Python Toolchain for Location-Based Environmental Parameter Retrieval and Load Computation Based on Romanian Codes

Modelling in Civil Environmental Engineering
Structural engineering design in Romania relies on location-dependent environmental parameters and zonation maps for snow, wind, seismicity, and frost depth.
Savu Adrian-Alexandru, Sabău Andrei-Dan
doaj   +1 more source

Industrialization in the building industry

, 1978
Bibliography: p. 460-465.
openaire   +2 more sources

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Seismic performance of RC precast industrial buildings—learning with the past earthquakes

, 2018
Acknowledgements This work was fnancially supported by Project POCI-01-0145-FEDER-028439—“SeismisPRECAST Seismic performance ASSessment of existing Precast Industrial buildings and development of Innovative Retroftting sustainable solutions,” funded ...
Varum, Humberto, Rodrigues, Hugo, Batalha, Nádia, Nádia Batalha, Hugo Rodrigues, Humberto Varum   +5 more
core   +1 more source

Techno-Economic Assessment of Net Metering and Energy Sharing in a Mixed-Use Renewable Energy Community in Montreal: A Simulation-Based Approach Using Tool4Cities

Energies
The study presents a scalable decision-support framework to assess energy-sharing strategies within mixed-use urban districts, with a focus on planning, sustainability, and policy relevance. Two renewable energy-sharing mechanisms—energy sharing (ES) and
Athena Karami Fardian, Saeed Ranjbar, Luca Cimmino, Francesca Vecchi, Caroline Hachem-Vermette, Ursula Eicker, Francesco Calise   +6 more
doaj   +1 more source

Hyperactive ice‐binding proteins stabilize cell membranes and improve resistance to dehydration stress in Caenorhabditis elegans

FEBS Open Bio, EarlyView.
TisIBP8, a fungal‐derived hyperactive ice‐binding protein, helps Caenorhabditis elegans survive dehydration. It localizes near cell membranes, reduces cell damage, and helps maintain membrane structure during drying. These results suggest that ice‐binding proteins can protect cells from dehydration stress as well as freezing stress.
Daiki Shimose, Kotaro Ozaki, Ryohei Kuriyama, Yuka Ikemoto, Kazuhiro Mio, Yuji C. Sasaki, Tatsuya Arai, Sakae Tsuda, Yoichi Shinkai, Masahiro Kuramochi   +9 more
wiley   +1 more source

Predicting the Plastic Rotational Capacity of Reinforced Concrete Elements Using Machine Learning

Modelling in Civil Environmental Engineering
This study investigates the use of machine learning algorithms to predict the plastic rotational capacity of reinforced concrete elements, a critical factor in assessing the response and vulnerability of structures under seismic loads.
Kadhim Andrei-Odey, Craifaleanu Iolanda-Gabriela   +1 more
doaj   +1 more source