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http://dx.doi.org/10.1111/j.1445-2197.2011.05860.x | DOI Listing |
Arthropod Struct Dev
January 2025
Zoological Museum, University of Kiel, Hegewischstrasse 3, 24105, Kiel, Germany.
The objective of this study is to gain a better understanding of the not well understood egg-transportation mechanisms through the female reproductive systems of crabs. For this, Carcinus maenas was chosen as a model to study the cuticular epithelium underlying the cuticle of the vagina and the ventral seminal receptacle. This cuticular epithelium is investigated by performing histochemical and ultrastructural analyses of the epithelial cells.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
ETH Zurich, Zurich, Switzerland.
Background: The escalating global scarcity of skilled health care professionals is a critical concern, further exacerbated by rising stress levels and clinician burnout rates. Artificial intelligence (AI) has surfaced as a potential resource to alleviate these challenges. Nevertheless, it is not taken for granted that AI will inevitably augment human performance, as ill-designed systems may inadvertently impose new burdens on health care workers, and implementation may be challenging.
View Article and Find Full Text PDFJ Am Acad Orthop Surg Glob Res Rev
January 2025
Universidad Autónoma de Guadalajara, School of Medicine, Zapopan, Mexico.
Background: Physicians worldwide face the challenging task of improving patient satisfaction by reducing pain in injured patients. Currently, available therapeutic approaches provide only short-term relief of symptoms without addressing long-term satisfaction. This has led to exploring regenerative treatment options that can deliver better outcomes.
View Article and Find Full Text PDFAnn N Y Acad Sci
January 2025
Hainan Institute, Zhejiang University, Sanya, China.
In this paper, we introduce FUSION-ANN, a novel artificial neural network (ANN) designed for acoustic emission (AE) signal classification. FUSION-ANN comprises four distinct ANN branches, each housing an independent multilayer perceptron. We extract denoised features of speech recognition such as linear predictive coding, Mel-frequency cepstral coefficient, and gammatone cepstral coefficient to represent AE signals.
View Article and Find Full Text PDFAm J Speech Lang Pathol
January 2025
Good Samaritan Medical Center Foundation, Lafayette, CO.
Purpose: The aim of this study was to gauge the impacts of cognitive empathy training experiential learning on traumatic brain injury (TBI) knowledge, awareness, confidence, and empathy in a pilot study of speech-language pathology graduate students.
Method: A descriptive quasi-experimental convergent parallel mixed methods design intervention pilot study (QUAL + QUANT) was conducted with a diverse convenience sample of 19 first- and second-year speech-language pathology graduate students who engaged in a half-day TBI point-of-view simulation. The simulation was co-constructed through a participatory design with those living with TBI based on Kolb's experiential learning model and followed the recommendations for point-of-view simulation ethics.
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