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This article provides an overview of the "Roles and Perspectives in the Law" conference held in honour of the Rt Hon Sir Ivor Richardson and discusses the themes running through various areas of law by exploring the notion of balance. The varied perspectives in the conference papers demonstrate that, where interests are in opposition to each other, the law that regulates strikes a balance between them at some point. Palmer explores this idea through well-established "black-letter" law (such as employment, taxation, and commercial law) and the less established "red-letter" law (such as human rights, indigenous peoples' rights, and constitutional design). It is argued that judges have a crucial role to play in striking a balance in both categories of law. The author concludes that, whether it is black- or red-letter law, it is human behaviour that is being regulated; therefore, one must be careful not to divide human behaviour into neat categorical boxes.

Tyrosine kinase inhibitors (TKI) are anticancer agents widely used for a variety of malignancies including gastrointestinal stromal tumours (GIST). Although generally well-tolerated, TKIs have been associated with a number of adverse events including hypertension, proteinuria and nephrotic syndrome. We present the case of a 70-year-old patient with metastatic GIST on long-standing sunitinib who developed hypertension, oedema and hypoalbuminemia with a rising serum creatinine and was found to have nephrotic syndrome. Workup revealed elevated antiphospholipase A2 receptor (PLA2R) antibody IgG titres and a kidney biopsy confirmed PLA2R-positive membranous nephropathy without findings of thrombotic microangiopathy. Cessation of sunitinib led to reduction in anti-PLA2R antibody IgG titres while resumption, due to concern for cancer progression, led to worsening symptoms. Treatment with rituximab led to undetectable anti-PLA2R IgG titres. We highlight the importance of maintaining a systematic approach for evaluating nephrotic syndrome and provide a case showing that TKIs can exacerbate underlying nephrotic syndrome.

Historical in situ ocean temperature profile measurements are important for a wide range of ocean and climate research activities. A large proportion of the profile observations have been recorded using expendable bathythermographs (XBTs), and required bias corrections for use in climate change studies. It is generally accepted that the bias, and therefore bias correction, depends on the type of XBT used. However, poor historical metadata collection practices mean the XBT probe type information is often missing, for 59% of profiles between 1967 and 2000, limiting the development of reliable bias corrections. We develop a process of estimating missing instrument type metadata (the combination of both model and manufacturer) systematically, constructing a machine learning pipeline based on thorough data exploration to inform these choices. The predicted instrument type, where missing, will facilitate improved XBT bias corrections. The new approach improves the accuracy of the XBT type classification compared to previous approaches from a recall value of 0.75–0.94. We also develop an approach to account for the uncertainty associated with metadata assignments using ensembles of decision trees, which could feed into an ensemble approach to creating ocean temperature datasets. We describe the challenges arising from the nature of the dataset in applying standard machine learning techniques to the problem. We have implemented this in a portable, reproducible way using standard data science tools, with a view to these techniques being applied to other similar problems in climate science.

Public and scientific consensus about climate change do not align. Problematically, higher scientific knowledge has been associated with lower acceptance of climate information among those with more conservative socio-political ideologies. Positive attitudes towards science can attenuate this effect. We investigated the association between endorsement of scientific inquiry (ESI) and decision-making with scientific evidence about climate policies. Participants rated support for 16 climate policies accompanied by weaker or stronger evidence. In study 1 (N = 503), higher ESI was associated with greater discernment between strongly and weakly evidenced climate policies, irrespective of worldview. In studies 2 (N = 402) and 3 (N = 600), an ESI intervention improved discrimination, and, in study 3, increased ESI specifically for hierarchical/individualistic participants. Unlike ESI, the link between scientific knowledge and evaluation of evidence was influenced by worldview. Increasing ESI might improve the evaluation of scientific evidence and increase public support for evidence-based climate policies.

In recognition memory the variance of the target distribution is almost universally found to be greater than that of the lure distribution. However, these estimates commonly come from long-term memory paradigms where words are used as stimuli. Two exceptions to this rule have found evidence for greater lure variability: a short-term memory task (Yotsumoto et al., 2008) and in an eyewitness memory paradigm (Wixted et al., 2018). In the presentwork, we conducted a series of recognition memory experiments using different stimulus (faces vs. words) along with different paradigms (long-term vs. short-term) to evaluate whether either of these conditions would result in greater variability in lure items. Greater target variability was observed across stimulus types and memory paradigms. This suggests that factors other than stimuli and retention interval might be responsible for cases where variability is less for targets than lures.

Intergovernmental Panel on Climate Change (IPCC) assessments are the trusted source of scientific evidence for climate negotiations taking place under the United Nations Framework Convention on Climate Change (UNFCCC), including the first global stocktake under the Paris Agreement that will conclude at COP28 in December 2023. Evidence-based decision making needs to be informed by up-to-date and timely information on key indicators of the state of the climate system and of the human influence on the global climate system. However, successive IPCC reports are published at intervals of 5–10 years, creating potential for an information gap between report cycles. We base this update on the assessment methods used in the IPCC Sixth Assessment Report (AR6) Working Group One (WGI) report, updating the monitoring datasets and to produce updated estimates for key climate indicators including emissions, greenhouse gas concentrations, radiative forcing, surface temperature changes, the Earth’s energy imbalance, warming attributed to human activities, the remaining carbon budget and estimates of global temperature extremes. The purpose of this effort, grounded in an open data, open science approach, is to make annually updated reliable global climate indicators available in the public domain (https://doi.org/10.5281/zenodo.7883758, Smith et al., 2023). As they are traceable and consistent with IPCC report methods, they can be trusted by all parties involved in UNFCCC negotiations and help convey wider understanding of the latest knowledge of the climate system and its direction of travel. The indicators show that human induced warming reached 1.14 [0.9 to 1.4] °C over the 2013–2022 period and 1.26 [1.0 to 1.6] °C in 2022. Human induced warming is increasing at an unprecedented rate of over 0.2 °C per decade. This high rate of warming is caused by a combination of greenhouse gas emissions being at an all-time high of 57 ± 5.6 GtCO2e over the last decade, as well as reductions in the strength of aerosol cooling. Despite this, there are signs that emission levels are starting to stabilise, and we can hope that a continued series of these annual updates might track a real-world change of direction for the climate over this critical decade.

Introduction Financial incentive programs promote smoking cessation. However, the incentive amount which should be provided—and how this may interact with other program characteristics—is unknown. The objective of this study was to evaluate the influence of the design of incentive programs for smoking cessation on current smokers’ perceptions of programs and willingness to enroll. Method An online discrete choice experiment was conducted amongst adult current smokers residing in the United Kingdom (N = 430). Hypothetical incentive programs were described using five attributes (incentive amount, incentive type, frequency of sessions, reward schedules, program location). Participants responded to a series of choice sets comprised of two hypothetical programs. For each set, participants selected their preferred program. They then specified whether they would enroll in their preferred program if it were available. Analyses also considered the effect of participant income on preferences. Results Overall, participants preferred higher amounts over lower amounts, cash over vouchers, healthcare settings over workplaces, and consistent amounts over an escalating schedule. One session per week was the most preferred session frequency. Willingness to enroll increased quadratically with the incentive amount, although this increase slowed for higher amounts. Although middle- and high-income smokers preferred slightly higher amounts (cf. low-income participants), enrollment choices did not differ by income. Conclusion The characteristics of incentive programs influence smokers’ perceptions of programs and willingness to enroll. Higher amounts may encourage greater enrollment rates, but there will likely be a ceiling point beyond which increasing the incentive amount does not meaningfully increase enrollments. Implications There is increasing evidence incentive programs aid smoking cessation. Yet, the variety in previous program designs means how to best structure programs, including optimal incentive amount and the impact of the design on potential enrollment rates, remains unclear. This study suggests enrollments may be highest when incentive amounts are higher, rewards of a consistent amount in cash are provided, and sessions occur once per week in a healthcare setting. Although higher-income participants may desire higher incentive amounts compared to lower-income participants, this may not translate into differences in willingness to enroll.

Expression of the Snail gene is required for the epithelial-mesenchymal transitions that accompany mammalian gastrulation, neural crest migration, and organ formation. Pathologic expression of Snail contributes to the migratory capacity of invasive tumors, including melanomas. To investigate the mechanism of Snail up-regulation in human melanoma cells, a conserved enhancer located 3′ of the Snail gene was analyzed. An overlapping Ets and yin yang 1 (YY1) consensus sequence, in addition to a SOX consensus sequence, was required for full enhancer activity. Proteins specifically binding these sequences were detected by electrophoretic mobility shift assay. The Ets/YY1 binding activity was purified by DNA-affinity chromatography and identified as YY1. Although ubiquitously expressed, YY1 was bound at the Snail 3′ enhancer in vivo in Snail-expressing cells but not in cells that did not express Snail. Knockdown of YY1 in A375 cells led to decreased Snail expression. These results identify a role for YY1 in regulating transcription of Snail in melanoma cells through binding to the Snail 3′ enhancer. (Mol Cancer Res 2009;7(2):221–9)

Supplementary Figure S1 from Yin Yang 1 Regulates the Expression of Snail through a Distal Enhancer

Future sea-level rise projections are characterized by both quantifiable uncertainty and unquantifiable, structural uncertainty. Thorough scientific assessment of sea-level rise projections requires analysis of both dimensions of uncertainty. Probabilistic sea-level rise projections evaluate the quantifiable dimension of uncertainty; comparison of alternative probabilistic methods provide an indication of structural uncertainty. Here we describe the Framework for Assessing Changes To Sea-level (FACTS), a modular platform for characterizing alternative probability distributions of global mean, regional, and extreme sea-level rise. We demonstrate its application by generating seven alternative probability distributions under multiple alternative emissions scenarios for both future global mean sea level and future relative and extreme sea level at New York City. These distributions, closely aligned with those presented in the Intergovernmental Panel on Climate Change Sixth Assessment Report, emphasize the role of the Antarctic and Greenland ice sheet as drivers of structural uncertainty in sea-level rise projections.

Here we report a case of renal oncocytoma in a 68 year-old male. The diagnosis was initially made on a needle biopsy 6 years prior to the partial nephrectomy. The case is unique that in addition to the gross and microscopic features commonly seen in renal oncocytomas, both lymphovascular invasion and prominent intracytoplasmic vacuole-like spaces are also present in this tumor. Although vascular invasion is increasingly recognized as compatible with renal oncocytoma, intracytoplasmic vacuoles are a rare and unusual finding that may lead to diagnostic difficulty. The diagnosis of renal oncocytoma was confirmed after immunohistochemistry was performed to argue against succinate dehydrogenase deficient renal cell carcinoma (RCC) and chromophobe RCC. This case highlights the importance for practicing pathologists to recognize the rare co-occurrence of lymphovascular invasion and large intracytoplasmic vacuole-like spaces in renal oncocytoma. Other differential diagnoses may include emerging renal tumor entities, such as the recently-proposed eosinophilic vacuolated tumor.

Plants make important contributions to green roof ecosystem service provision through evapotranspiration, canopy shading, and water retention. Because these plant communities are a critical component of green roof design and function, both seasonal and interspecific variation of these plant communities are important factors in evaluating green roof performance. This study examines variation in both species abundance and 9 leaf traits throughout the 2015 growing season of four New York City green roofs. While community composition varied significantly between each month (pANOSIM = 0.036), three major plant families (Asteraceae, Lamiaceae, and Poaceae) consistently had the greatest green cover and were present during the entirety of the growing season. For leaf traits, period of the growing season had a significant impact on most of the traits measured. Leaf thickness, leaf relative water content (RWC) and saturated water content (SWC) decreased as the growing season progressed, while leaf dry matter content (LDMC) and stomatal density increased, likely due to a seasonal decrease in rainfall as species-level variance in these water traits is low (7.40% and 0.88%, respectively). We also ranked planted and spontaneous species in accordance to both cover and functional trait values, and identified 11 species suitable for green roofs in NYC: Pycnanthemum tenuifolium (Lamiaceae), Symphiotrichum leave, Symphiotrichum pilosum, Rudbeckia hirta, Solidago odora (Asteraceae), Panicum virgatum, Sorghastrum nutrans, Schizachyrium scoparium, Dichanthelium clandestinum, Deschampsia flexuosa (Poaceae), and Oenothera biennis (Onagraceae). Understanding the temporal responses of plant communities and their constituent species is critical in optimizing green roof ecosystem services.

Shelf seas play a key role in both the global carbon cycle and coastal marine ecosystems through the draw-down and fixing of carbon, as measured through phytoplankton net primary production (NPP). Measuring NPP in situ and extrapolating this to the local, regional, and global scale presents challenges however because of limitations with the techniques utilised (e.g. radiocarbon isotopes), data sparsity, and the inherent biogeochemical heterogeneity of coastal and open-shelf waters. Here, we introduce a new data set generated using a technique based on the synergistic use of in situ glider profiles and satellite Earth observation measurements which can be implemented in a real-time or delayed-mode system (https://doi.org/10.5285/e6974644-2026-0f94-e053-6c86abc00109; Loveday and Smyth, 2022). We apply this system to a fleet of gliders successively deployed over a 19-month time frame in the North Sea, generating an unprecedented fine-scale time series of NPP in the region. At a large scale, this time series gives close agreement with existing satellite-based estimates of NPP for the region and previous in situ estimates. What has not been elucidated before is the high-frequency, small-scale, depth-resolved variability associated with bloom phenology, mesoscale phenomena, and mixed layer dynamics.

Over the past decade, Chinese enterprises have made significant progress in developing new business ventures in Africa. There is ongoing debate whether these Chinese enterprises contribute to local skill development in their host countries. We utilize unique survey data from the construction sector in Ghana to examine the heterogeneity in skill transfer to local workers in Chinese-owned, other foreign, and domestic enterprises. First, our analyses illustrate that there are no significant differences in the characteristics of local employees from Chinese enterprises and those from other enterprises in terms of age, marital status, education background, work experience, and union membership. In terms of employment attributes, while workers in other enterprises on average stay longer with their employers than those working for Chinese enterprises, statistically, we do not observe any significant difference in the share of workers that receive training between Chinese and other construction enterprises. Furthermore, regression estimates suggest that compared to local enterprises, both Chinese and other foreign enterprises contribute positively to short-term general training and long-term specific training of locally hired workers. Indeed, the likelihood of receiving training, especially short-term general training, is higher for Chinese enterprise employees than those of other foreign enterprises.

The US Peace Corps has been operating programs globally since 1961 with an enduring mission toward international friendship and world peace structured around clear goals that emphasize cross-cultural learning objectives. Little is known about whether the program has a positive effect on US soft power abroad and, if so, the magnitude of that influence. This paper examines the impact of Peace Corps programming in foreign states on US public diplomacy objectives. The primary research aims to understand the relationship between indicators of a foreign population’s favorability toward the US and Peace Corps participation to determine the effects of program size as well as program presence and removal. Pew Research Center US favorability scores were analyzed alongside Peace Corps volunteer cohort sizes between years 2004 and 2016 among 20 sample countries. The findings indicate a positive and statistically significant relationship between the size of the Peace Corps volunteer cohort and US favorability. Each additional volunteer increases favorability toward the US by 0.12 points. The results are robust to the inclusion of additional soft power factors. Supplementary findings illustrate that the removal of Peace Corps programming may adversely impact favorability toward the US, establishing the negative soft power effect of ceasing participation.

Eyewitnesses to multiple-culprit crimes are often asked to try to identify the culprits from different lineups during a police investigation. In 2 experiments (N = 557), we show that disconfirming feedback after an identification attempt for 1 culprit can impair identification performance on a subsequent lineup for a different culprit. In each experiment, witnesses viewed a simulated, 2-culprit crime, followed by 2 police lineups: A culprit-absent lineup for 1 culprit and either a culprit-present or culprit-absent lineup for the second culprit. Following the first lineup, witnesses received disconfirming feedback or no feedback. For witnesses who correctly rejected the first lineup, disconfirming feedback impaired identification performance on the subsequent lineup. For witnesses who incorrectly chose someone from the first lineup, disconfirming feedback impaired subsequent performance when the feedback unambiguously implied poor ability to identify the culprit in the first identification test (Experiment 2) but not when it could have been interpreted as implying poor criterion setting (Experiment 1). Across both experiments, disconfirming feedback also reduced the difference in confidence between correct and incorrect identifications. These results add to evidence that postidentification feedback can affect subsequent identification performance by influencing witnesses’ beliefs about their ability to identify a culprit. Current policy recommendations state that postidentification feedback should be withheld from witnesses until confidence has been documented. These should be updated to recommend withholding feedback for longer if the witness may be asked to view additional lineups, and to ensure that lineup administrators are blind to the results of any previous lineups.

Current guidelines for selecting lineup fillers are imprecise. Consequently, filler characteristics likely vary widely across lineups, potentially affecting identification decisions in important but unexplained ways. We report 2 experiments investigating the impact of 1 source of variation, the number of relatively high versus low similarity match-description fillers, on identification outcomes. Identifications following a retention interval of a few minutes (Experiments 1 and 2) and several weeks (Experiment 2) were examined. Increasing the number of high similarity lineup members within match-description lineups increased choosing (characterized by more filler but fewer suspect identifications), decreased accuracy and confidence and caused a poorer confidence-accuracy relationship. The changes to identification outcomes as the number of high similarity fillers increased were attributable to decreased discriminability and a relaxed criterion, with positive identifications requiring a lesser evidential discrepancy between target and fillers. There was limited evidence of guilty and innocent suspect identifications being differently affected by variations in the number of high similarity fillers and no evidence of suspect discriminability being influenced. For decisions after a short retention interval, high confidence suspect identifications were good predictors of accuracy; however, high similarity match-description fillers undermined the predictive value of high confidence suspect identifications at the long retention interval. Our results suggest that future research must explore methods for curbing variation in identification patterns resulting from uncontrolled filler characteristics. Until then it is critical that identification evidence be interpreted acknowledging that, even in lineups constructed following best practice guidelines, filler characteristics could have profoundly influenced the outcome.

One barrier to action on climate change is public trust in climate science, and projections made by climate scientists. However, climate science projections are rarely measured in public surveys. We designed survey questions based on two Intergovernmental Panel on Climate Change projections regarding global warming and coral reef decline. We gauge Australians’ trust in Intergovernmental Panel on Climate Change projections, and explore how trust in climate science is associated with accepting anthropogenic climate change. A slim majority of Australian adults trust Intergovernmental Panel on Climate Change projections, with trust correlated positively with accepting anthropogenic climate change. While partisan divisions are extant in accepting anthropogenic climate change, partisan influences are attenuated substantially after controlling for trust in Intergovernmental Panel on Climate Change projections, as trust in climate science mediates the influence of partisanship on the acceptance of anthropogenic climate change. A minority of those who accept anthropogenic climate change have low trust in Intergovernmental Panel on Climate Change projections, viewing scientists’ computer models as unreliable, or believing climate scientists benefit from overstating the impact of climate change.

Introduction Studies demonstrate that financial incentive programs increase smoking cessation. However, there is little guidance on which incentive magnitudes will ensure optimal enrollment and motivation levels. This study investigates current smokers’ perceptions of varying incentive magnitudes to identify whether there is evidence for optimal amount(s) and whether perceptions differ by income group. Methods Studies 1 (N = 56) and 2 (N = 147) were conducted online via Prolific.co. Current smokers were randomly shown multiple hypothetical incentive programs that differed only in the incentive amount offered. For each program, smokers rated its appeal and their likelihood of enrolling and predicted their motivation to quit if enrolled. Growth models were used to investigate the relationship between perspectives and the incentive amount. Results An increasing quadratic trend in smokers’ perceptions of programs as the incentive amount increased was identified. Incentive amounts beyond approximately £50–75 per week (£500–£750 total) did not significantly alter perceptions of programs. In Study 2, high-income smokers found programs significantly less appealing and motivating than low-income smokers, although no significant between-group differences were observed in the likelihood of enrollment. No significant differences were observed between low- and middle-income smokers. Conclusions Increasing the incentive amount increased smoker’s perceptions of programs. This relationship was curvilinear, meaning there may be a point beyond which further increasing the amount will not improve enrollment or motivation levels. Incentives appear equally appealing to low- and middle-income smokers; the population among whom smoking is most prevalent. Future research could explore other elements of program design and whether findings hold under real-world conditions. Implications While acknowledging that they work, policymakers frequently request information about the monetary amount needed for incentive programs to be effective, and if this differs by income level. We investigated these questions using smokers’ perceptions of hypothetical cessation programs that differed in the amount offered. An increasing quadratic trend in perceptions of programs by the amount and potential cut points was observed, suggesting a point may exist beyond which increasing the incentive will not improve perceptions of programs or enrollment levels. High-income smokers may not perceive incentives to be as appealing as other income groups, but appear equally willing to enroll.

To prospectively validate electromagnetic hand motion tracking in interventional radiology to detect differences in operator experience using simulation.Sheath task: Six attending interventional radiologists (experts) and 6 radiology trainees (trainees) placed a wire through a sheath and performed a "pin-pull" maneuver, while an electromagnetic motion detection system recorded the hand motion. Radial task: Eight experts and 12 trainees performed palpatory radial artery access task on a radial access simulator. The trainees repeated the task with the nondominant hand. The experts were classified by their most frequent radial artery access technique as having either palpatory, ultrasound, or overall limited experience. The time, path length, and number of movements were calculated. Mann-Whitney U tests were used to compare the groups, and P.05 was considered significant.Sheath task: The experts took less time, had shorter path lengths, and used fewer movements than the trainees (11.7 seconds ± 3.3 vs 19.7 seconds ± 6.5, P.01; 1.1 m ± 0.3 vs 1.4 m ± 0.4, P.01; and 19.5 movements ± 8.5 vs 31.0 movements ± 8.0, P.01, respectively). Radial task: The experts took less time, had shorter path lengths, and used fewer movements than the trainees (24.2 seconds ± 10.6 vs 33.1 seconds ± 16.9, P.01; 2.0 m ± 0.5 vs 3.0 m ± 1.9, P.001; and 36.5 movements ± 15.0 vs 54.5 movements ± 28.0, P.001, respectively). The trainees had a shorter path length for their dominant hand than their nondominant hand (3.0 m ± 1.9 vs 3.5 m ± 1.9, P.05). The expert palpatory group had a shorter path length than the ultrasound and limited experience groups (1.8 m ± 0.4 vs 2.0 m ± 0.4 and 2.3 m ± 1.2, respectively, P.05).Electromagnetic hand motion tracking can differentiate between the expert and trainee operators for simulated interventional tasks.