Results 201 to 210 of about 337,049 (251)

Possible predictors of apneic-events during sleep: advanced snoring sound analysis. [PDF]

Sleep Breath
Unkell M, Schmitt M, Hohenhorst W, Janott C, Herzog M, Heiser C.   +5 more
europepmc   +1 more source

Determining the Minimal Clinically Important Difference of the 40‐Item Smell Identification Test in People With Cystic Fibrosis

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Chronic rhinosinusitis (CRS) and olfactory dysfunction (OD) are highly prevalent among people with cystic fibrosis (PwCF) and negatively impact quality of life. The 40‐item Smell Identification Test (SIT) is widely used to assess psychophysical olfaction, but a CF‐specific minimal clinically important difference (MCID) has not been ...
Eugene Oh, Jessa E. Miller, Michelle J. Lee, Anna Zemke, David Baraghoshi, Matthew J. Strand, Jeremiah A. Alt, Todd E. Bodner, Michael Chang, Naweed I. Chowdhury, Patricia H. Eshaghian, Anne E. Getz, Jennifer L. Goralski, David A. Gudis, Peter H. Hwang, Ashoke Khanwalkar, Adam J. Kimple, Jivianne T. Lee, Douglas A. Li, Jess C. Mace, Jayakar V. Nayak, Jonathan B. Overdevest, Zara Patel, Daniella K. Safatian, Rodney J. Schlosser, Brent Senior, Amanda L. Stapleton, Timothy L. Smith, Zachary M. Soler, Jeffrey D. Suh, Grant A. Turner, Marilene B. Wang, Milene T. Saavedra, Jennifer L. Taylor‐Cousar, Daniel M. Beswick   +34 more
wiley   +1 more source

Identification of adventitious lung sounds in children with respiratory illnesses in Bangladesh using Artificial Intelligence and Digital Auscultation

Ahmed S, Khan AM, Nair H, Cunningham S, McLane IM, Islam MS, Islam AA, Tabassum R, Chowdhury NH, Sultana N, Githinji L, Justin MM, Jahan I, Wahiduzzaman M, Mitra DK, Hasan MK, Chowdhury MZR, Shahidullah M, Baqui AH, McCollum ED.   +19 more
europepmc   +1 more source

From silence into song: an art-science collaboration with survivor trees and laryngectomy singers. [PDF]

Front Psychol
Moors T, Himonides E.
europepmc   +1 more source

Construction of pathogenic Sec16a mutation mouse model using CRISPR/Cas9

Animal Models and Experimental Medicine, EarlyView.
Yaqiang Hu et al. engineered a pathogenic Sec16a mutant mouse model using CRISPR/Cas9 technology. They observed that the Sec16a mutant mice displayed diminished learning and memory capabilities, along with a limb‐clasping phenotype upon tail suspension.
Yaqiang Hu, Zhiyang Zeng, Xinyu Ming, Shuming Yin, Yuting Guan, Liangcai Gao, Dali Li   +6 more
wiley   +1 more source

Rivers and roads, silence and songs: female crickets respond similarly to conspecific male song in natural and anthropogenic soundscapes. [PDF]

J Exp Biol
Etzler EA, Ter Hofstede HM, Ratcliffe JM.   +2 more
europepmc   +1 more source

A preclinical mouse model mimicking the ovarian cancer‐induced estrogen deficiency‐depression axis

Animal Models and Experimental Medicine, EarlyView.
A preclinical mouse model of ovarian cancer–related depression was developed by combining intraperitoneal tumor cell injection, ovariectomy, and chronic restraint stress. The model replicates key clinical features including estrogen deficiency, depressive‐like behaviors, and tumor progression, and provides a reliable tool for studying the endocrine ...
Jiamin Liu, Yafei Yang, Chunxi Liu, Danting Wen, Tingyu Zhao, Ping Xie, Jing Xiao   +6 more
wiley   +1 more source

The Role of Chemistry Across Disciplines From Humanities to Life Sciences in Understanding Complexity and Emergence

Angewandte Chemie, EarlyView.
This study explores the origins of life by linking prebiotic chemistry, the emergence of information‐carrying molecules such as RNA and proteins, and philosophical questions about consciousness. The study emphasizes the role of molecular evolution in the Central Dogma and provides insights into the chemical origins of biology and the basis of life's ...
Harald Schwalbe, Josef Wachtveitl, Alexander Heckel, Florian Buhr, Sabrina Toews, Thomas M. Schimmer   +5 more
wiley   +2 more sources

Improving Greater Caribbean manatee vocalization detection across habitats using neural networks. [PDF]

PLoS One
Ramos EA, Galor A, Faran M, Mishelashvili MM, Castelblanco-Martinez N, Tellez M, Brady B.   +6 more
europepmc   +1 more source