Prior research supports the learnability of the Alternative Model of Personality Disorders (AMPD). However, researchers have yet to compare novice ratings on the AMPD's Level of Personality Functioning Scale and the 25 pathological personality traits with expert ratings. Furthermore, the AMPD has yet to be examined with the idiographic Shedler-Westen Assessment Procedure (SWAP). We compared the aggregated AMPD clinical profile of a group of psychology doctoral students who learned the AMPD to high levels of reliability to that of an expert rater using the crucible of the classical case of "Madeline G." Examination of AMPD and SWAP ratings of "Madeline G." revealed excellent overall concordance but suggests that novice raters tend to perceive lower levels of personality impairment.
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http://dx.doi.org/10.3389/fpsyg.2022.794616 | DOI Listing |
Biochemistry
January 2025
BHF Centre of Research Excellence, School of Medicine and Life Sciences, King's College London, London SE1 9NH, United Kingdom.
Transmembrane glucose transport, facilitated by glucose transporters (GLUTs), is commonly understood through the simple mobile carrier model (SMCM), which suggests that the central binding site alternates exposure between the inside and outside of the cell, facilitating glucose exchange. An alternative "multisite model" posits that glucose transport is a stochastic diffusion process between ligand-operated gates within the transporter's central channel. This study aims to test these models by conducting atomistic molecular dynamics simulations of multiple glucose molecules docked along the central cleft of GLUT1 at temperatures both above and below the lipid bilayer melting point.
View Article and Find Full Text PDFJMIR Cancer
January 2025
Faculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands.
Background: The rising number of cancer survivors and the shortage of health care professionals challenge the accessibility of cancer care. Health technologies are necessary for sustaining optimal patient journeys. To understand individuals' daily lives during their patient journey, qualitative studies are crucial.
View Article and Find Full Text PDFCell Biol Toxicol
January 2025
Department of Environmental Toxicology, Swiss Federal Institute of Aquatic Science and Technology, Eawag, 8600, Dübendorf, Switzerland.
Advancing in vitro systems to address the effects of chemical pollution requires a thorough characterization of their functionalities, such as their repertoire of biotransformation enzymes. Currently, knowledge regarding the presence, activity magnitudes, and inducibility of different biotransformation pathways in vitro is scarce, particularly across organs. We report organ-specific kinetics for phase I and II biotransformation enzymes, under basal and induced conditions, in two in vitro systems using salmonid fish: S9 sub-cellular fractions from brown trout (Salmo trutta) and rainbow trout (Oncorhynchus mykiss) were compared with rainbow trout cell lines.
View Article and Find Full Text PDFMol Divers
January 2025
Department of Biochemistry, University of Delhi South Campus, Benito Juarez Road, Dhaula Kuan, New Delhi, 110021, India.
Nanobodies or variable antigen-binding domains (VH) derived from heavy chain-only antibodies (HcAb) occurring in the Camelidae family offer certain superior physicochemical characteristics like enhanced stability, solubility, and low immunogenicity compared to conventional antibodies. Their efficient antigen-binding capabilities make them a preferred choice for next-generation small biologics. In the present work, we design an anti-SARS-CoV-2 bi-paratopic nanobody drug conjugate by screening a nanobody database.
View Article and Find Full Text PDFBrain Topogr
January 2025
Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India.
EEG involves recording electrical activity generated by the brain through electrodes placed on the scalp. Imagined speech classification has emerged as an essential area of research in brain-computer interfaces (BCIs). Despite significant advances, accurately classifying imagined speech signals remains challenging due to their complex and non-stationary nature.
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