As expressed in the White Paper, the time has indeed come to make transparency of custodial interrogations the rule, rather than the exception. Widespread implementation of the recommendation to video record interrogations in their entirety and with a camera perspective that permits a clear view of both the suspect and interrogator(s) will achieve this goal admirably. The White Paper authors also imply that such video recordings will likely make it easier for later fact finders to detect and reject false confessions. For the sake of the innocent, all hope that this will be the case; however, anecdotal evidence and, more important, relevant psychological science suggest that it would be prudent to temper expectations in this regard.
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http://dx.doi.org/10.1007/s10979-009-9202-z | DOI Listing |
Bioanalysis
January 2025
US FDA, Silver Spring, MD, USA.
The 18 Workshop on Recent Issues in Bioanalysis (18 WRIB) took place in San Antonio, TX, USA on May 6-10, 2024. Over 1100 professionals representing pharma/biotech companies, CROs, and multiple regulatory agencies convened to actively discuss the most current topics of interest in bioanalysis. The 18 WRIB included 3 Main Workshops and 7 Specialized Workshops that together spanned 1 week to allow an exhaustive and thorough coverage of all major issues in bioanalysis of biomarkers, immunogenicity, gene therapy, cell therapy and vaccines.
View Article and Find Full Text PDFBrain Res
January 2025
Department of Computing Science, University of Alberta Edmonton Alberta Canada; Alberta Machine Intelligence Institute Edmonton Alberta Canada; Canada Institute for Advanced Research (CIFAR) AI Chair, Canada.
Humans are excellent at modifying our behaviour depending on context. For example, humans will change how they explore when losses are possible compared to when they are not possible. However, it remains unclear what specific cognitive and neural processes are modulated when exploring in different contexts.
View Article and Find Full Text PDFProg Neurobiol
January 2025
Department of Biomedicine, University of Basel, Klingelbergstrasse 50, 4056 Basel, Switzerland. Electronic address:
The brain faces the challenging task of preserving a consistent portrayal of the external world in the face of disruptive sensory inputs. What alterations occur in sensory representation amidst noise, and how does brain activity adapt to it? Although it has previously been shown that background white noise (WN) decreases responses to salient sounds, a mechanistic understanding of the brain processes responsible for such changes is lacking. We investigated the effect of background WN on neuronal spiking activity, membrane potential, and network oscillations in the mouse central auditory system.
View Article and Find Full Text PDFAnal Biochem
January 2025
Pharmaceutical Analytical Chemistry Department, Faculty of pharmacy, Zagazig University, Zagazig 44519, Egypt.
This work represents different spectrophotometric techniques for concurrent quantification of Indacaterol (IND) and Mometasone furoate (MOM); co-formulated inhalation capsules to control asthma symptoms. Direct spectrophotometric (D) approach was applied for IND assay. While, absorption factor (AF), ratio difference (RD), mean centering of the ratio spectra (MC), and continuous wavelet transform (CW) techniques were utilized for MOM quantification.
View Article and Find Full Text PDFJ Equine Vet Sci
January 2025
School of Animal Sciences, Virginia Polytechnic Institute and State University, 175 West Campus Dr., Blacksburg, VA, USA, 24061. Electronic address:
Our objectives were to use a quantitative literature review to explore dietary and feed factors influencing apparent total-tract digestibility of dry matter (DMD), crude protein (CPD), neutral detergent fiber (NDFD), ether extract (EED), non-structural carbohydrates (NSCD), non-fiber carbohydrates (NFCD), and residual organic matter (rOMD) in equine diets, and to assess their contributions to digestible energy (DE) supplies. Data from 54 studies were modeled using linear mixed-effect regressions, with publication as a random effect to account for study variability. For each nutrient, five models were derived with explanatory variables including: dry matter intake (DMI; % BW/day) and DM (% as-fed), and dietary components (CP, organic matter, EE, NDF, acid detergent fiber, NSC, starch, and NFC as % of DM), and feed types (forage, non-forage fiber, legumes, cereal, and oil proportions).
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