Divergent effects of short-term and continuous anthropogenic noise exposure on Western Bluebird parental care behavior.

Sensory environments are rapidly changing due to increased human activity in urban and non-urban areas alike. For instance, natural and anthropogenic sounds can interfere with parent-offspring communication and mask cues reflective of predation risk, resulting in elevated vigilance at the cost of provisioning. Here we present data from two separate studies involving anthropogenic noise and nestling provisioning behavior in Western Bluebirds (): one in response to short-term (1 h) experimental noise playback and a second in the context of nests located along a gradient of exposure to continuous noise.

Acid-exposed and hypoxic cancer cells do not overlap but are interdependent for unsaturated fatty acid resources.

Cancer cells in acidic tumor regions are aggressive and a key therapeutic target, but distinguishing between acid-exposed and hypoxic cells is challenging. Here, we use carbonic anhydrase 9 (CA9) antibodies to mark acidic areas in both hypoxic and respiring tumor areas, along with an HRE-GFP reporter for hypoxia, to isolate distinct cell populations from 3D tumor spheroids. Transcriptomic analysis of CA9-positive, hypoxia-negative cells highlights enriched fatty acid desaturase activity.

Comparative effectiveness of silver-coated implants in periprosthetic infection prevention: A systematic review and meta-analysis.

Introduction: Despite the implementation of numerous preventive measures in recent years, the persistent challenge of periprosthetic infections remains. Among the various strategies, metallic modification of implants, particularly with silver, has emerged as a promising avenue. Silver's antimicrobial properties, coupled with its low human toxicity, render it an appealing option.

Enhanced enchondroma detection from x-ray images using deep learning: A step towards accurate and cost-effective diagnosis.

This study investigates the automated detection of enchondromas, benign cartilage tumors, from x-ray images using deep learning techniques. Enchondromas pose diagnostic challenges due to their potential for malignant transformation and overlapping radiographic features with other conditions. Leveraging a data set comprising 1645 x-ray images from 1173 patients, a deep-learning model implemented with Detectron2 achieved an accuracy of 0.