Results 151 to 160 of about 61,122 (299)

Variation on Toxic and Inflammatory Potential of Coal Smoke of Different Sources From a Region With High Lung Cancer Risk

Environmental Toxicology, EarlyView.
ABSTRACT Excess lung cancer risk in Xuanwei and Fuyuan, China, has been attributed to household air pollution from use of a locally sourced smoky (bituminous) coal. However, the carcinogenic mechanisms remain unclear. Given the important role of inflammation in lung cancer development, this study compared the proinflammatory potentials of the ...
Yongliang Zhang, Wei Hu, Nathanial Rothman, Dingyu Liu, Jihua Li, Jun Xu, Bofu Ning, Roel Vermeulen, Qing Lan, Flemming R. Cassee, George S. Downward   +10 more
wiley   +1 more source

Effects of Newly Developed LED Lighting on Living Comfort in an Indoor Environment (Part 2)

Japanese Journal of Complementary and Alternative Medicine, 2012
Osami KAJIMOTO, Yukishige SHIRAICHI, Masaki OHTSUKA, Takanori KADOWAKI, Tomohiro SUGINO   +4 more
openaire   +2 more sources

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

Wildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge, Luigi La Spada, Robert A. Briers, Niamh M. McHugh, Patrick J. C. White   +4 more
wiley   +1 more source

A review of daylighting design and implementation in buildings [PDF]

, 2017
Wong, Ing Liang
core   +1 more source

Effects of Newly Developed LED Lighting on Living Comfort in an Indoor Environment (Part 3)

Japanese Journal of Complementary and Alternative Medicine, 2013
Osami KAJIMOTO, Yukishige SHIRAICHI, Akihiko KURIYAMA, Masaki OHTSUKA, Takanori KADOWAKI, Tomohiro SUGINO   +5 more
openaire   +2 more sources

Developing a control algorithm for CEN indoor environmental criteria - Addressing air quality, thermal comfort and lighting

Summarization: In this specific paper a control algorithm for serving CEN’s indoor environmental input parameters in building energy management systems is presented. In the proposed control system, techniques of natural ventilation and daylight penetration are exploited. Electric lighting as well as mechanical cooling and heating are used supplementary
Πουλιεζος Αναστασιος(http://users.isc.tuc.gr/~apouliezos), Pouliezos Anastasios(http://users.isc.tuc.gr/~apouliezos), Κολοκοτσα Διονυσια(http://users.isc.tuc.gr/~dkolokotsa), Kolokotsa Dionysia(http://users.isc.tuc.gr/~dkolokotsa), Καλαϊτζακης Κωστας(http://users.isc.tuc.gr/~kkalaitzakis), Kalaitzakis Kostas(http://users.isc.tuc.gr/~kkalaitzakis), Σταυρακακης Γεωργιος(http://users.isc.tuc.gr/~gstavrakakis), Stavrakakis Georgios(http://users.isc.tuc.gr/~gstavrakakis), Mitsios, Ioannis(http://viaf.org/viaf/202307056)   +8 more
openaire   +1 more source

Resilience Enhancement Method for Rural Distribution Network Considering Lifeline Load Energy Demand via Hydrogen‐Integrated Energy Systems Under Extreme Cold Disasters

Energy Internet, EarlyView.
ABSTRACT In recent years, extreme cold disasters have occurred frequently worldwide. The security of rural distribution network is threatened. The current research on enhancing the resilience of distribution network fails to consider the changes in the operating characteristics and efficiency of equipment under extreme cold disasters.
Zhigang Zhang, Lu Zhang, Wei Tang, Yan Sun, Bo Zhang, Zongsheng Li   +5 more
wiley   +1 more source

The multi-objective optimization of residential building glass in summer-hot and winter-cold regions using genetic algorithms: energy consumption, carbon emissions, and health performance analysis. [PDF]

Front Public Health
He Y, Fu X, Li S, Guo J.
europepmc   +1 more source

A Review of Human–AI Synergy in Smart Energy Management Concepts, Functions, Applications, and Future Frontiers

Energy Internet, EarlyView.
ABSTRACT Smart energy management systems (EMS) are entering a phase of rapid transformation. Artificial intelligence (AI)—including machine learning (ML), deep learning (DL), and reinforcement learning (RL)—has become the computational backbone for real‐time forecasting, scheduling, and control of renewable‐rich power systems.
Sihai An, Jing Qiu, Jiafeng Lin, Zhe Yuan, Weiyi Tian, Zongyu Yao   +5 more
wiley   +1 more source

Environmental Stressors and Adaptive Mechanisms in Long-Term Care Resident Bedrooms: A Canadian Case Study. [PDF]

HERD
Boissonneault A, Peters T.
europepmc   +1 more source