Results 181 to 190 of about 2,713,157 (313)

Individual differences in medial temporal lobe functional network architecture predict the capacity for sleep-related consolidation of emotional memories in older adults [PDF]

Miranda G Chappel-Farley, Jenna N. Adams, Richard F. Betzel, Negin Sattari, Destiny Berisha, Novelle Meza, John Janecek, Hamid Niknazar, Soyun Kim, Abhishek Dave, Ivy Y. Chen, Kitty K. Lui, Ariel B. Neikrug, Ruth M. Benca, Michael A. Yassa, Bryce A. Mander   +15 more
openalex   +1 more source

Artificial intelligence‐assisted design, synthesis and analysis of smart biomaterials

BMEMat, EarlyView.
Smart biomaterials are rapidly emerging as tools for tissue engineering, and artificial intelligence has played essential roles in biomaterial studies. By bridging the literature gap in AI‐based design, synthesis and analysis of smart biomaterials, the current review shares perspectives on how biomaterial scientists can practically incorporate AI for ...
Pengfei Jiang, Yefei Dai, Yujun Hou, Joshua Stein, Shichen Steven Lin, Chaochen Zhou, Yannan Hou, Rongrong Zhu, Ki‐Bum Lee, Letao Yang   +9 more
wiley   +1 more source

Investigating the role of mGluR2 versus mGluR3 in antipsychotic-like effects, sleep-wake architecture and network oscillatory activity using novel Han Wistar rats lacking mGluR2 expression

, 2018
Christian M. Wood, Keith A. Wafford, Andrew McCarthy, Nicola Hewes, Elaine Shanks, David Lodge, Emma Robinson   +6 more
openalex   +1 more source

SLEEP ARCHITECTURE AND PREVALENCE OF SLEEP-DISORDERED BREATHING IN PATIENTS WITH SCLERODERMA-RELATED PULMONARY HYPERTENSION [PDF]

, 2021
Dhawani Pandya, Joseph L. Simonson, Sara Khan, Harly Greenberg, Arunabh Talwar   +4 more
openalex   +1 more source

Artificial intelligence and machine learning‐assisted digital applications for biopharmaceutical manufacturing

Biotechnology Progress, EarlyView.
Abstract Artificial intelligence and automation are no longer just buzzwords in the biopharmaceutical industry. The manufacturing of a class of biologics, comprising monoclonal antibodies, cell therapies, and gene therapies, is far more complex than that of traditional small molecule drugs.
Shyam Panjwani, Hao Wei, John Mason
wiley   +1 more source

Effects of Ambient and Display Lighting Color on Risk‐Taking Behavior, Perceived Emotional States, and Visual Quality of Indoor Environment

Color Research &Application, EarlyView.
In a digital risk‐taking test, participants inflated a balloon to increase earned points at the risk of popping under different display and ambient lighting conditions. ABSTRACT Lighting from architectural fixtures and screens can have impacts beyond visual perception, such as occupants' cognitive functions and emotional states. Despite the ubiquity of
Naser Shehab, Dorukalp Durmus
wiley   +1 more source

Melatonin Acutely Improves the Neuroendocrine Architecture of Sleep in Blind Individuals [PDF]

, 2003
Stefan Fischer, Rüdiger Smolnik, Markus Herms, Jan Born, Horst L. Fehm   +4 more
openalex   +1 more source

Carbonate sedimentology: An evolved discipline

The Depositional Record, EarlyView.
Abstract Although admired and examined since antiquity, carbonate sediment and rock research really began with Charles Darwin who, during a discovery phase, studied, documented and interpreted their nature in the mid‐19th century. The modern discipline, however, really began after World War II and evolved in two distinct phases.
Noel P. James, Peir K. Pufahl
wiley   +1 more source

Deep-ACTINet: End-to-End Deep Learning Architecture for Automatic Sleep-Wake Detection Using Wrist Actigraphy [PDF]

, 2019
Taeheum Cho, Unang Sunarya, Minsoo Yeo, Bosun Hwang, Yong Seo Koo, Cheolsoo Park   +5 more
openalex   +1 more source

Predicting acute decompensated heart failure using circadian markers from heart rate time series

ESC Heart Failure, EarlyView.
Circadian metrics—amplitude, mesor, and acrophase—derived from a wrist‐worn heart rate monitor can predict acute decompensated heart failure (ADHF) up to 21 days before onset. In 65 post‐ADHF patients, an LSTM model achieved 74% sensitivity, and 73% specificity trained on 21‐day sequences. These findings support circadian rhythm analysis as a promising
Valerie A. A. van Es, Mayke M. C. J. van Leunen, Ignace L. J. de Lathauwer, Cindy C. A. G. Verstappen, René A. Tio, Ruud F. Spee, Lu Yuan, Monica Betta, Giacomo Handjaras, Hareld M. C. Kemps   +9 more
wiley   +1 more source