The neural basis of language switching, especially endogenous language control, remains largely unclear. We used a cue-stimulus paradigm and measured behavioral indices and scalp event-related potentials to investigate the endogenous control of switching between Chinese and English. In the experiment, unbalanced Chinese (L1) - English (L2) speakers named pictures in L1 or L2 according to an auditory cue presented 700 ms (cue-stimulus interval) before the picture onset. The reaction time (RT) was longer in the switch condition and the switch cost (difference of RTs between switch and repeat conditions) of L1 (L2→L1) was greater than L2 (L1→L2). P2 component elicited by the cue onset showed the neural switch cost of L1 at the frontocentral regions, with a leftward distribution, but not the switch cost of L2. The greater switch cost of L1 in behavioral responses and neural activity suggests that the frontocentral areas play an important role in endogenous language control, and switching back to the native language might require more endogenous control.
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http://dx.doi.org/10.1007/s12264-013-1427-7 | DOI Listing |
Water Res X
May 2025
Department of Civil, Architectural and Environmental Engineering, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy.
Pumps in Water Distribution Networks (WDNs) adequately provide effective pressure where low elevation or high head losses are detected within the system. One of the most effective strategies to ensure economic sustainability is Pump Scheduling (PS), assuring the optimization of pump management and enabling significant energy cost saving. Meta-heuristic algorithms can be applied to Pump Scheduling, given their ability to provide reliable global solutions, further complemented by limited computational efforts.
View Article and Find Full Text PDFBiomedicines
January 2025
College of Pharmacy, University of Illinois, Chicago, IL 60612, USA.
mRNA technology can replace the expensive recombinant technology for every type of protein, making biological drugs more affordable. It can also expedite the entry of new biological drugs, and copies of approved mRNA products can be treated as generic or biosimilar products due to their chemical nature. The introduction of hundreds of new protein drugs have been blocked due to the high cost of recombinant development.
View Article and Find Full Text PDFJ Clin Lipidol
December 2024
University of North Carolina at Chapel Hill, UNC Eshelman School of Pharmacy, 301 Pharmacy Lane, Chapel Hill, NC 27599, USA.
Background: Widespread familial hypercholesterolemia screening requires a large upfront economic investment, but the health benefits and cost savings of cardiovascular disease prevention directed by screening occur over many years.
Objective: We evaluated the cost-effectiveness of population genetic screening for familial hypercholesterolemia compared to cascade testing to US payers while accounting for patient insurance switching between commercial and Medicare insurance.
Methods: We developed a hybrid decision-tree Markov model to assess genetic screening in 20-year-old adults over a lifetime horizon in which cohort members transitioned between commercial payers representing three commercial plans and Medicare.
Biosensors (Basel)
January 2025
Furong Labratory, Changsha 410083, China.
A fluorescence probe for "switch-on" detection of alkaline phosphatase (ALP) was developed based on Au nanoclusters anchored MnO nanosheets (Au NCs-MnO NSs), which were synthesized using bovine serum albumin (BSA) as template through a simple one-pot approach. In the sensing system, MnO NSs function as both energy acceptors and target identifiers, effectively quenches the fluorescence of Au NCs via fluorescence resonance energy transfer (FRET). The presence of ALP catalyzes the hydrolysis of L-ascorbic acid-2-phosphate (AAP) to ascorbic acid (AA), reducing MnO NSs to Mn and facilitate the fluorescence recovery of Au NCs.
View Article and Find Full Text PDFBiomimetics (Basel)
January 2025
Key Laboratory of Mechanism Theory and Equipment Design, Ministry of Education, Tianjin University, Tianjin 300072, China.
This paper presents a novel soft crawling robot controlled by gesture recognition, aimed at enhancing the operability and adaptability of soft robots through natural human-computer interactions. The Leap Motion sensor is employed to capture hand gesture data, and Unreal Engine is used for gesture recognition. Using the UE4Duino, gesture semantics are transmitted to an Arduino control system, enabling direct control over the robot's movements.
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