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A tribute to Laszlo Zaborszky: pioneering discoveries in the basal forebrain and inspiring generations of neuroscientists.
Brain Struct Funct
December 2024
School of Medicine, Department of Neuropharmacology, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.
This editorial celebrates the 80th birthday of Distinguished Professor Laszlo Zaborszky, co-founder of Brain Structure and Function, and reflects on his monumental contributions to neuroscience, particularly his pioneering work on the cholinergic basal forebrain. Professor Zaborszky's research has reshaped our understanding of this brain region's organization and function, uncovering its critical role in cognitive processes such as learning, memory, and attention. His findings have challenged longstanding assumptions, demonstrating that the cholinergic projections to the cortex are highly organized, with implications for neurodegenerative diseases like Alzheimer's.
View Article and Find Full Text PDFA corpus of Chinese word segmentation agreement.
Behav Res Methods
December 2024
Department of Education Studies, Hong Kong Baptist University, Kowloon Tong, Kowloon, Hong Kong.
The absence of explicit word boundaries is a distinctive characteristic of Chinese script, setting it apart from most alphabetic scripts, leading to word boundary disagreement among readers. Previous studies have examined how this feature may influence reading performance. However, further investigations are required to generate more ecologically valid and generalizable findings.
View Article and Find Full Text PDFA real-time environmental translator for emotion recognition in autism spectrum disorder.
Sci Rep
December 2024
The Department of Mechanical Engineering and Mechatronics, Ariel University, Ariel, Israel.
Autism spectrum disorder (ASD) involves challenges in communication and social interaction, including challenges in recognizing emotions. Existing technological solutions aim to improve social behaviors in individuals with ASD by providing learning aids. This paper presents a real-time environmental translator designed to enhance social behaviors in individuals with ASD using sensory substitution.
View Article and Find Full Text PDFOptimizing T cell inflamed signature through a combination biomarker approach for predicting immunotherapy response in NSCLC.
Sci Rep
December 2024
Interventional Oncology, Johnson & Johnson Enterprise Innovation, Inc, 10th Floor 255 Main St, 02142, Cambridge, Boston, MA, USA.
The introduction of anti-PD-1/PD-L1 therapies revolutionized treatment for advanced non-small cell lung cancer (NSCLC), yet response rates remain modest, underscoring the need for predictive biomarkers. While a T cell inflamed gene expression profile (GEP) has predicted anti-PD-1 response in various cancers, it failed in a large NSCLC cohort from the Stand Up To Cancer-Mark (SU2C-MARK) Foundation. Re-analysis revealed that while the T cell inflamed GEP alone was not predictive, its performance improved significantly when combined with gene signatures of myeloid cell markers.
View Article and Find Full Text PDFMoving beyond word frequency based on tally counting: AI-generated familiarity estimates of words and phrases are an interesting additional index of language knowledge.
Behav Res Methods
December 2024
ETSI de Telecomunicación, Universidad Politécnica de Madrid, Avenida Complutense, 30, 28040, Madrid, Spain.
This study investigates the potential of large language models (LLMs) to estimate the familiarity of words and multi-word expressions (MWEs). We validated LLM estimates for isolated words using existing human familiarity ratings and found strong correlations. LLM familiarity estimates performed even better in predicting lexical decision and naming performance in megastudies than the best available word frequency measures.
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