The need for a research and practical tool, such as a short, reliable, and valid personality assessment test, suggests researchers to create shortened versions of original instruments. Reinforcement sensitivity questionnaire (RSQ) was created in line with some basic premises of revised Reinforcement sensitivity theory, which proposes three motivational and emotional systems: Behavioral inhibition system (BIS), responsible for scanning environment for potential threats, Behavioral activation system (BAS), responsible for aproaching behavior, and the Fight/Flight/Freeze system (FFFS), responsible for behavior in the present threat. RSQ comprises five scales: BIS, BAS, Fight, Flight, and Freeze. The aim of this study was to develop a short version of RSQ, which would be beneficial to both research and practical purposes. Item response theory analyses were used for item selection. The study comprised two samples of participants, whereby Sample 1 (N = 837, 34.6% male, aged 18 - 82, M = 31.63, SD = 13.54) served as the derivation sample, while Sample 2 (818 participants, 43.6% male, 18-75 years, M = 29.65, SD = 12.52) served as validation sample. Factorial validity of the short RSQ was examined on both Sample 1 and Sample 2. Convergent and divergent validity of the short RSQ was examined using RST-PQ, Jackson-5, BIS/BAS scales, and Big Five Inventory. The results point to satisfactory internal consistency, factorial validity, and construct validity of the short RSQ, suggesting that it is an adequate measure for research settings or other contexts which require the use of short personality questionnaires.
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http://dx.doi.org/10.1080/00223980.2017.1419158 | DOI Listing |
Sci Rep
December 2024
College of Sciences, National University of Defense Technology, 410073, Changsha, China.
Deep Convolutional Neural Networks (DCNNs), due to their high computational and memory requirements, face significant challenges in deployment on resource-constrained devices. Network Pruning, an essential model compression technique, contributes to enabling the efficient deployment of DCNNs on such devices. Compared to traditional rule-based pruning methods, Reinforcement Learning(RL)-based automatic pruning often yields more effective pruning strategies through its ability to learn and adapt.
View Article and Find Full Text PDFEur J Pharm Sci
December 2024
College of Pharmacy and Medical Technology, Putian University, Putian 351100, Fujian, China; Key Laboratory of Pharmaceutical Analysis and Laboratory Medicine (Putian University), Putian 351100, Fujian, China.
Blue light will be a promising alternative for photodynamic therapy in psoriasis, but the photosensitizer in vivo remains unexplored. Mesoporous zinc phosphate microparticle (MZP) was synthesized successfully in this study, as evidenced by XPS, XRD, and nitrogen adsorption experiments. Its psoriatic skin-sensitive property was corroborated by SEM and the higher cumulative release rate of that impregnated with curcumin (Cur) and glycyrrhizic acid (GA), namely Cur-GA-MZP, at pH 5.
View Article and Find Full Text PDFNanomaterials (Basel)
December 2024
Department of Naval Architecture and Ocean Engineering, Hongik University, Jochiwon, Sejong 30016, Republic of Korea.
With the growing demand for wind energy, the development of advanced materials for wind turbine support structures and blades has garnered significant attention in both industry and academia. In previous research, the authors investigated the incorporation of graphene platelets (GPLs) into wind turbine blades, focusing on the structural performance and cost-effectiveness relative to conventional fiberglass composites. These studies successfully demonstrated the potential advantages of GPL reinforcement in improving blade performance and reducing the blade's weight and costs.
View Article and Find Full Text PDFBiosensors (Basel)
November 2024
Institute of Physical Chemistry-Ilie Murgulescu, Romanian Academy, 202 Spl. Independentei, 060021 Bucharest, Romania.
Hyaluronic acid-based hydrogels are emerging as highly versatile materials for cost-effective biosensors, capable of sensitive chemical and biological detection. These hydrogels, functionalized with specific groups, exhibit sensitivity modulated by factors such as temperature, pH, and analyte concentration, allowing for a broad spectrum of applications. This study presents a patent-centered overview of recent advancements in hyaluronic acid hydrogel biosensors from 2003 to 2023.
View Article and Find Full Text PDFPart Fibre Toxicol
December 2024
Health Effects Laboratory, Department of Environmental Chemistry and Health Effects, NILU, 2007, Kjeller, Norway.
Background: Hazard and risk assessment of nanomaterials (NMs) face challenges due to, among others, the numerous existing nanoforms, discordant data and conflicting results found in the literature, and specific challenges in the application of strategies such as grouping and read-across, emphasizing the need for New Approach Methodologies (NAMs) to support Next Generation Risk Assessment (NGRA). Here these challenges are addressed in a study that couples physico-chemical characterization with in vitro investigations and in silico similarity analyses for nine nanoforms, having different chemical composition, sizes, aggregation states and shapes. For cytotoxicity assessment, three methods (Alamar Blue, Colony Forming Efficiency, and Electric Cell-Substrate Impedance Sensing) are applied in a cross-validation approach to support NAMs implementation into NGRA.
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