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Prior knowledge is often strongly related to students' learning. In the present research, we explored the relationship between prior knowledge and the accuracy of students' predictive monitoring judgments (judgments of learning; JOLs) and postdictive monitoring judgments (confidence judgments). In four experiments, students completed prior knowledge tests over two domains (football and cooking), learned new items from those domains, and completed a test over those items. To ensure the learning was new, the items that students learned and were tested over consisted of made-up facts from each domain. In Experiments 1-3, students made JOLs predicting the likelihood that they would remember each item on the test. In Experiments 2 and 3, students also made confidence judgments in the accuracy of their response after answering each question on the final test. Prior knowledge was negatively related to the accuracy of students' JOLs, but unrelated to the accuracy of their confidence judgments. Exploratory analyses revealed that the relationship with JOLs was likely driven by high knowledge students giving relatively lower JOLs to items that they later remembered. Experiment 4 directly tested this possibility by having students make binary memory predictions about whether they would remember each item. Outcomes were consistent with the exploratory analyses. Thus, the negative relationship between prior knowledge and JOL accuracy appears to be driven by the greater tendency of high knowledge students, relative to low knowledge students, to remember items that they thought they would forget.

Drawing on recent experimental research, we propose three ways in which artificial intelligence (AI) can be used to assess eyewitness identification accuracy. First, we suggest that AI could be used as an outside evaluator of eyewitness accuracy. AI could be exposed to identification evidence and left to make its own classification decisions. Second, AI could be used as a tool to inform human evaluators on the likely accuracy of an identification decision. This could range from clarifying witness information to providing evaluators with numeric estimates of accuracy. Third, AI could be used as a model of how human evaluators should go about assessing identification accuracy. Researchers could examine how successful AI models discriminate between accurate and inaccurate identification decisions and train human evaluators to use a similar algorithm. We contend that transparency and interpretability will be key ingredients in determining how AI impacts the legal system. [ABSTRACT FROM AUTHOR]

Despite being in use for over 25 years, long-term data regarding the Herbert ulnar head prosthesis remain scarce. The aim of the present multicentre observational study was to describe the survivorship of this implant in the UK. Retrospective data were collected from clinical records and via telephone consultation. Data were submitted for 227 primary and five revision ulnar head prostheses. Indications for surgery included distal radioulnar joint osteoarthritis, inflammatory arthritis and failed ulnar head resection surgery. The mean follow-up was 5.5 years (range 1 month–21 years) with 91% (n = 108) and 87% (n = 44) survival at 5 and 10 years, respectively. Indications for reoperation included pain, instability, aseptic loosening and distal impaction. In total, 12 patients had implant removal, eight had revision arthroplasty and five underwent soft tissue stabilization. Overall, reassuring mid- to long term survivorship data for the ulnar head prosthesis were found. We recommend the use of arthroplasty registries for implant surveillance. Level of evidence: IV [ABSTRACT FROM AUTHOR]

Simple Summary: Pancreatic cancer can be cured by surgical resection to clear margins, but this is difficult to achieve. The current methods to detect cancer spread during surgery are not very effective and many patients experience cancer returning soon after surgery. This integrative review analyses new technologies that could aid surgeons in detecting cancer more accurately during surgery. The aim is to identify methods that allow surgeons to distinguish cancerous tissues and subclinical deposits more precisely and reduce the risk of cancer recurrence. Fluorescence-guided surgery, where a light-emitting dye illuminates cancer cells, and other cancer localisation techniques are emerging as promising tools to aid oncological clearance during surgery. Accurate identification of cancer spread during surgery remains a clinical need and could change how surgeries for pancreatic cancer are conducted to prevent post-resection recurrence and improve survival. Background: Surgical resection for pancreatic ductal adenocarcinoma (PDAC) entails the excision of the primary tumour and regional lymphadenectomy. This traditional strategy is challenged by the high rate of early recurrence, suggesting inadequate disease staging. Novel methods of intra-operative staging are needed to allow surgical resection to be tailored to the disease's biology. Methods: A search of published articles on the PubMed and Embase databases was performed using the terms 'pancreas' OR 'pancreatic' AND 'intra-operative staging/detection' OR 'guided surgery'. Articles published between January 2000 and June 2023 were included. Technologies that offered intra-operative staging and tailored treatment were curated and summarised in the following integrative review. Results: lymph node (LN) mapping and radioimmunoguided surgery have shown promising results but lacked practicality to facilitate real-time intra-operative staging for PDAC. Fluorescence-guided surgery (FGS) offers high contrast and sensitivity, enabling the identification of cancerous tissue and positive LNs with improved precision following intravenous administration of a fluorescent agent. The unique properties of optical coherence tomography and ultrasound elastography lend themselves to be platforms for virtual biopsy intra-operatively. Conclusions: Accurate intra-operative staging of PDAC, localisation of metastatic LNs, and identification of extra-pancreatic disease remain clinically unmet needs under current detection methods and staging standards. Tumour-specific FGS combined with other diagnostic and therapeutic modalities could improve tumour detection and staging in patients with PDAC. [ABSTRACT FROM AUTHOR]

Over the past 45 years, psychological scientists have invested a tremendous amount of effort into increasing the accuracy of suspect identifications from eyewitness lineup procedures. Those efforts have paid dividends, leading to the development of several practices that increase the accuracy of suspect identifications. Meanwhile, lineup rejections have largely been written off as lacking diagnostic value and little effort has been placed into understanding (1) why lineup rejections are less diagnostic than suspect identifications, and (2) how to increase the diagnostic value of lineup rejections. We show that preventing innocent-suspect identifications is not equivalent to demonstrating innocence and highlight several consequences of not being able to clear innocent suspects from police suspicion. We then review recent evidence, grounded in Signal Detection Theory, suggesting that lineup rejections are less diagnostic than suspect identifications because it is harder to reject a lineup of several faces than it is to identify a single face. When lineups are modified so that witnesses provide rejection ratings for each non-identified lineup member, rejection accuracy drastically increases. We highlight several questions for future research examining the potential for eyewitness memory to demonstrate innocence and question what impact suspect rejections might play in multiple-witness cases. [ABSTRACT FROM AUTHOR]

Achieving high‐resolution and high signal‐to‐noise ratio (SNR) in vivo metabolic imaging via fast magnetic resonance spectroscopic imaging (MRSI) has been a longstanding challenge. This study combines the methods of relaxation enhancement (RE) and subspace imaging for the first time, enabling high‐resolution and high‐SNR in vivo MRSI of rodent brains at 9.4 T. Specifically, an RE‐based chemical shift imaging sequence, which combines a frequency‐selective pulse to excite only the metabolite frequencies with minimum perturbation of the water spins and a pair of adiabatic pulses to spatially localize the slice of interest, is designed and evaluated in vivo. This strategy effectively shortens the apparent T1 of metabolites, thereby increasing the SNR during relatively short repetition time ((TR) compared with acquisitions with only spatially selective wideband excitations, and does not require water suppression. The SNR was further enhanced via a state‐of‐the‐art subspace reconstruction method. A novel subspace learning strategy tailored for 9.4 T and RE acquisitions is developed. In vivo, high‐resolution (e.g., voxel size of 0.6 × 0.6 × 1.5 mm3) MRSI of both healthy mouse brains and a glioma‐bearing mouse brain in 12.5 min has been demonstrated. [ABSTRACT FROM AUTHOR]

This article seeks to pay tribute to John Taylor's scholarship in the field of the history of Australian double taxation agreements (DTAs). Referencing Taylor's formidable body of research, the article adopts a thematic approach to outline the history of New Zealand's DTAs, including tax treaties with Australia. [ABSTRACT FROM AUTHOR]

Global flood mapping has developed rapidly over the past decade, but previous approaches have limited scope, function, and accuracy. These limitations restrict the applicability and fundamental science questions that can be answered with existing model frameworks. Harnessing recently available data and modeling methods, this paper presents a new global ∼30 m resolution Global Flood Map (GFM) with complete coverage of fluvial, pluvial, and coastal perils, for any return period or climate scenario, including accounting for uncertainty. With an extensive compilation of global benchmark case studies—ranging from locally collected event water levels, to national inventories of engineering flood maps—we execute a comprehensive validation of the new GFM. For flood extent comparisons, we demonstrate that the GFM achieves a critical success index of ∼0.75. In the more discriminatory tests of flood water levels, the GFM deviates from observations by ∼0.6 m on average. Results indicating this level of global model fidelity are unprecedented in the literature. With an optimistic scenario of future warming (SSP1‐2.6), we show end‐of‐century global flood hazard (average annual inundation volume) increases are limited to 9% (likely range ‐6%–29%); this is within the likely climatological uncertainty of −8%–12% in the current hazard estimate. In contrast, pessimistic scenario (SSP5‐8.5) hazard changes emerge from the background noise in the 2040s, rising to a 49% (likely range of 7%–109%) increase by 2100. This work verifies the fitness‐for‐purpose of this new‐generation GFM for impact analyses with a variety of beneficial applications across policymaking, planning, and commercial risk assessment. Plain Language Summary: Computer models use a variety of data and physical equations to estimate the extent and depth of possible flood events. Global applications of these tools have been developed over the past decade, but they are not very good at simulating the behavior of real floods. In this paper, we address some key problems to make a global model that does a lot better than past ones. We apply new techniques to better understand how much water we need to put into the model for a given flood probability. This movement of water is simulated by the model over a more accurate map of the Earth's terrain than has been available previously, with river channels represented in a smarter way. We look at the projected changes in rainfall, river discharge, and sea levels for given levels of warming simulated by available climate models and adjust the probabilities of a given magnitude flood accordingly. The model results suggest that the effect of future climate change might be small relative to our ability to understand flood hazards today, but this depends heavily on how much carbon we emit in the coming decades. Key Points: New climate‐conditioned model framework represents fluvial, pluvial, and coastal flood hazards at high‐resolution globallyComprehensive validation studies suggest that the model is approaching local model skill in many casesEmissions reduction can hold flood hazards largely constant this century, though coastal flooding will increase drastically regardless [ABSTRACT FROM AUTHOR]

Galactic cosmic rays (GCRs) interact with matter in the atmosphere and at the surface of the Earth to produce a range of cosmogenic nuclides. Measurements of cosmogenic nuclides produced in surface rocks have been used to study past land ice extent as well as to estimate erosion rates. Because the GCR flux reaching the Earth is modulated by magnetic fields (solar and Earth's), records of cosmogenic nuclides produced in the atmosphere have also been used for studies of past solar activity. Studies utilizing cosmogenic nuclides assume that the GCR flux is constant in time, but this assumption may be uncertain by 30 % or more. Here we propose that measurements of 14 C of carbon monoxide (14 CO) in ice cores at low-accumulation sites can be used as a proxy for variations in GCR flux on timescales of several thousand years. At low-accumulation ice core sites, 14 CO in ice below the firn zone originates almost entirely from in situ cosmogenic production by deep-penetrating secondary cosmic ray muons. The flux of such muons is almost insensitive to solar and geomagnetic variations and depends only on the primary GCR flux intensity. We use an empirically constrained model of in situ cosmogenic 14 CO production in ice in combination with a statistical analysis to explore the sensitivity of ice core 14 CO measurements at Dome C, Antarctica, to variations in the GCR flux over the past ≈ 7000 years. We find that Dome C 14 CO measurements would be able to detect a linear change of 6 % over 7 ka, a step increase of 6 % at 3.5 ka or a transient 100-year spike of 190 % at 3.5 ka at the 3 σ significance level. The ice core 14 CO proxy therefore appears promising for the purpose of providing a high-precision test of the assumption of GCR flux constancy over the Holocene. [ABSTRACT FROM AUTHOR]

Measurements of carbon-14-containing carbon monoxide (14 CO) in glacial ice are useful for studies of the past oxidative capacity of the atmosphere as well as for reconstructing the past cosmic ray flux. The 14 CO abundance in glacial ice represents the combination of trapped atmospheric 14 CO and in situ cosmogenic 14 CO. The systematics of in situ cosmogenic 14 CO production and retention in ice are not fully quantified, posing an obstacle to interpretation of ice core 14 CO measurements. Here we provide the first comprehensive characterization of 14 CO at an ice accumulation site (Summit, Greenland), including measurements in the ice grains of the firn matrix, firn air and bubbly ice below the firn zone. The results are interpreted with the aid of a firn gas transport model into which we implemented in situ cosmogenic 14 C. We find that almost all (≈ 99.5 %) of in situ 14 CO that is produced in the ice grains in firn is very rapidly (in <1 year) lost to the open porosity and from there mostly vented to the atmosphere. The timescale of this rapid loss is consistent with what is expected from gas diffusion through ice. The small fraction of in situ 14 CO that initially stays in the ice grains continues to slowly leak out to the open porosity at a rate of ≈ 0.6 % yr -1. Below the firn zone we observe an increase in 14 CO content with depth that is due to in situ 14 CO production by deep-penetrating muons, confirming recent estimates of 14 CO production rates in ice via the muon mechanisms and allowing for narrowing constraints on these production rates. [ABSTRACT FROM AUTHOR]

While the use of antibiotics has been reported as extensive in the rearing of agricultural animals, insufficient information is available on the antibiotic residues in animal products and the adverse impact that consistent low-level exposure to antibiotics might have on the human body and its microbiome. The aim of this study was to estimate the antibiotic concentrations that humans are exposed to via their diet using the concentration of antibiotics in animal food products and water and an online survey on dietary intake. A total of 131 participants completed the dietary intake survey, with the majority belonging to the omnivorous diet group (76.3%). Distinct dietary trends were observed in the omnivorous and unknown groups eating animal products, with specific food types dominating each meal: pork (e.g., ham) and dairy products (e.g., milk, yoghurt) during breakfast, beef (e.g., burgers) and chicken (e.g., chicken breast) products during lunch, and fish (e.g., salmon fillet) during dinner. In total, 34 different animal-based food and drink products were tested for the presence of ten different antibiotics. Of all the products tested, over 35% exceeded the acceptable daily antibiotic intake for amoxicillin, ampicillin, and enrofloxacin. [ABSTRACT FROM AUTHOR]

Cartridge-case comparison experts are tasked with determining whether a reference sample associated with the suspect originated from the same source as the evidence sample found at the crime scene. Same-source reports have strong inculpatory value and different-source reports have strong exculpatory value. Surprisingly, inconclusive reports have strong exculpatory value as they occur much more frequently for actual nonmatches than for actual matches. We used a signal detection model to test our hypothesis that some experts report inconclusive when they detect a nonmatch. Consistent with this hypothesis, we found that even when examiners were able to perfectly discriminate matches from nonmatches, they rendered inconclusive reports on 32% of nonmatch trials. Experts are biased to avoid rendering different-source reports, which conceals exculpatory information that innocent persons desperately need to establish their innocence. We argue that this biased examiner might result from an adversarial allegiance bias combined with a flawed response scale. General Audience Summary: Criminal investigations often hinge on the balance of testimony from forensic scientists. Many of these forensic scientists report on feature-comparison methods where they microscopically compare the features in an evidence sample (found at the crime scene) to the features in a reference sample (associated with the suspect) to determine whether they originated from the same source. One example of a feature-comparison method is cartridge-case comparison. Past work shows that examiners are much more likely to render inconclusive reports for actual nonmatches than for actual matches. The result is that inconclusive reports have strong exculpatory power. This is problematic because it is unlikely that defendants, attorneys, judges, or jurors would interpret an inconclusive report as diagnostic of innocence. We fit a cognitive-process model to cartridge-case comparison data to determine why examiners are so much more likely to render inconclusive reports for actual nonmatches. We found that some forensic examiners render inconclusive reports even when they correctly perceive that the reference sample does not match the evidence sample. By rendering inconclusive responses even when they perceive a nonmatch, these experts might be concealing from innocent persons evidence that they desperately need to establish their innocence. We argue that this biased examiner might result from adversarial allegiance bias combined with a flawed response scale. [ABSTRACT FROM AUTHOR]

The article discusses the agency guidance and enforcement actions targeting the consumer reporting industry issued by the U.S. Consumer Financial Protection Bureau (CFPB) and the Federal Trade Commission (FTC) under the Fair Credit Reporting Act (FCRA). Topics include CFPB advisory opinion on facially false data, enforcement actions concerning credit reporting, and litigation developments.