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Playback experiments have proved to be a useful tool to investigate the extent to which wild animals understand numerical concepts and the factors that play into their decisions to respond to different numbers of vocalizing conspecifics. In particular, playback experiments have broadened our understanding of the cognitive abilities of historically understudied species that are challenging to test in the traditional laboratory, such as members of the Order Carnivora. Additionally, playback experiments allow us to assess the importance of numerical information versus other ecologically important variables when animals are making adaptive decisions in their natural habitats. Here, we begin by reviewing what we know about quantity discrimination in carnivores from studies conducted in captivity. We then review a series of playback experiments conducted with wild social carnivores, including African lions, spotted hyenas and wolves, which demonstrate that these animals can assess the number of conspecifics calling and respond based on numerical advantage. We discuss how the wild studies complement those conducted in captivity and allow us to gain insights into why wild animals may not always respond based solely on differences in quantity. We then consider the key roles that individual discrimination and cross-modal recognition play in the ability of animals to assess the number of conspecifics vocalizing nearby. Finally, we explore new directions for future research in this area, highlighting in particular the need for further work on the cognitive basis of numerical assessment skills and experimental paradigms that can be effective in both captive and wild settings. This article is part of a discussion meeting issue ‘The origins of numerical abilities’.

This paper addresses the challenge of assessing relatedness and functional interdependence through connecting passes within invasion games, which may offer valuable pedagogical insights into gameplay for accessibility and inclusiveness. Hence, the purpose of this paper is twofold. Firstly, it presents preliminary work on the methodology for computing open passing lanes and derived metrics, integrating spatiotemporal data analysis with event data. Secondly, using a within-subject design, it investigates how modified handball games influence game play opportunities. Data were collected during handball matches in a pre-teens Physical Education (PE) class with mixed-skill-level teams. Game actions (e.g., passes, receptions, and shots) were manually recorded through systematic observation of video footage, while players’ positional data were captured with ultra-wideband technology. Findings provide evidence that employing a numerical advantage (one player up) enhances overall opportunities for individual attacking actions (i.e., more passing, catching actions, and goal-scoring opportunities) and relational actions (i.e., more open passing lanes) compared to equal numbers. Conversely, equal numbers with individual marking appeared more challenging, as fewer secure passing lanes were observed, and the ball possessor spent more time with the ball before releasing it. The developed approach holds promise for studying designed games to enhance inclusion and learning opportunities for all.

Registry-based randomized controlled trials are defined as pragmatic trials that use registries as a platform for case records, data collection, randomization, and follow-up. Recently, the application of registry-based randomized controlled trials has attracted increasing attention in health research to address comparative effectiveness research questions in real-world settings, mainly due to their low cost, enhanced generalizability of findings, rapid consecutive enrollment, and the potential completeness of follow-up for the reference population, when compared with conventional randomized effectiveness trials. However several challenges of registry-based randomized controlled trials have to be taken into consideration, including registry data quality, ethical issues, and methodological challenges. In this article, we summarize the advantages, challenges, and areas for future research related to registry-based randomized controlled trials.

BackgroundEnrollment of Medicare beneficiaries in medicare advantage (MA) plans has been steadily increasing. Prior research has shown differences in healthcare access and outcomes based on Medicare enrollment status. This study sought to compare utilization of minimally invasive colorectal cancer (CRC) surgery and postoperative outcomes between MA and Fee-for-Service (FFS) beneficiaries.MethodsA retrospective cohort study of beneficiaries  ≥ 65.5 years of age enrolled in FFS and MA plans was performed of patients undergoing a CRC resection from 2016 to 2019. The primary outcome was operative approach, defined as minimally invasive (laparoscopic) or open. Secondary outcomes included robotic assistance, hospital length-of-stay, mortality, discharge disposition, and hospital readmission. Using balancing weights, we performed a tapered analysis to examine outcomes with adjustment for potential confounders.ResultsMA beneficiaries were less likely to have lymph node (12.9 vs 14.4%, p < 0.001) or distant metastases (15.5% vs 17.0%, p < 0.001), and less likely to receive chemotherapy (6.2% vs 6.7%, p < 0.001), compared to FFS beneficiaries. MA beneficiaries had a higher risk-adjusted likelihood of undergoing laparoscopic CRC resection (OR 1.12 (1.10–1.15), p < 0.001), and similar rates of robotic assistance (OR 1.00 (0.97–1.03), p = 0.912), compared to FFS beneficiaries. There were no differences in risk-adjusted length-of-stay (β coefficient 0.03 (− 0.05–0.10), p = 0.461) or mortality at 30-60-and 90-days (OR 0.99 (0.95–1.04), p = 0.787; OR 1.00 (0.96–1.04), p = 0.815; OR 0.98 (0.95–1.02), p = 0.380). MA beneficiaries had a lower likelihood of non-routine disposition (OR 0.77 (0.75–0.78), p < 0.001) and readmission at 30-60-and 90-days (OR 0.76 (0.73–0.80), p < 0.001; OR 0.78 (0.75–0.81), p < 0.001; OR 0.79 (0.76–0.81), p < 0.001).ConclusionsMA beneficiaries had less advanced disease at the time of CRC resection and a greater likelihood of undergoing a laparoscopic procedure. MA enrollment is associated with improved health outcomes for elderly beneficiaries undergoing operative treatment for CRC.

The superior academic achievement of Asian Americans is a well-documented phenomenon that lacks a widely accepted explanation. Asian Americans’ advantage in this respect has been attributed to three groups of factors: (i) socio-demographic characteristics, (ii) cognitive ability, and (iii) academic effort as measured by characteristics such as attentiveness and work ethic. We combine data from two nationally representative cohort longitudinal surveys to compare Asian-American and white students in their educational trajectories from kindergarten through high school. We find that the Asian-American educational advantage is attributable mainly to Asian students exerting greater academic effort and not to advantages in tested cognitive abilities or socio-demographics. We test explanations for the Asian–white gap in academic effort and find that the gap can be further attributed to (i) cultural differences in beliefs regarding the connection between effort and achievement and (ii) immigration status. Finally, we highlight the potential psychological and social costs associated with Asian-American achievement success.

In the decades preceding the COVID-19 pandemic, emergency department (ED) use increased more rapidly for socioeconomically disadvantaged patients than for advantaged patients, often because of barriers to accessing office-based care. However, it remains unknown whether the pandemic has had durable effects on socioeconomic disparities in ED use. We conducted a retrospective cohort study of ED visits in the US, using multipayer claims data. We used a difference-in-differences approach to compare ED visit rates between March 2020 and August 2022 with rates from the same months of 2018-19. Among 15.6 million ED visits, potentially avoidable visits persistently declined for all insured populations during the pandemic period. Potentially nonavoidable visits also declined early in the pandemic but rebounded to more than 95 percent of expected rates. However, stratifying by insurance revealed that this rebound occurred among commercially insured and Medicare fee-for-service patients; potentially nonavoidable visits only returned to about 75 percent of expected rates among Medicaid and dual-eligible patients. Although this suggests a beneficial reduction in potentially avoidable ED use, it also indicates the simultaneous emergence of a disparity wherein socioeconomically disadvantaged groups may be underusing the ED for potentially higher-acuity illness.

Dynamic capabilities, resulting from activities that allow conscious and skillful modification of a firm’s strategic potential, are seen as one of the key drivers of a firm’s value creation, competitive advantage and above-average performance in changing environments. However, little is known about how dynamic capabilities can shape business survival and performance during crises. The research objective of this paper is twofold. First, through a literature review, we seek to identify which first-order dynamic capabilities–managerial decisions under uncertainty—are vital for rapid response to a crisis. Second, we present the results of research carried out among 151 small and medium-sized companies in Poland immediately after the beginning of the economic lockdown (April 2020). The survey that we developed identifies which dynamic capabilities were essential for businesses to survive during this unexpected black swan event. We also present dependence and regression analyses showing the links between the identified dynamic capabilities and value creation, understood as retaining employees and production levels, as well as value capture, understood as maintaining cash flow and current revenues.

This paper describes an application of hierarchical or empirical Bayes to the distributed source reconstruction problem in electro- and magnetoencephalography (EEG and MEG). The key contribution is the automatic selection of multiple cortical sources with compact spatial support that are specified in terms of empirical priors. This obviates the need to use priors with a specific form (e.g., smoothness or minimum norm) or with spatial structure (e.g., priors based on depth constraints or functional magnetic resonance imaging results). Furthermore, the inversion scheme allows for a sparse solution for distributed sources, of the sort enforced by equivalent current dipole (ECD) models. This means the approach automatically selects either a sparse or a distributed model, depending on the data. The scheme is compared with conventional applications of Bayesian solutions to quantify the improvement in performance.

INTRODUCTION This paper quantifies how incident dementia diagnosis rates vary for similar beneficiaries in traditional Medicare (TM) and Medicare Advantage (MA) seen by the same primary care provider (PCP). METHODS This cohort analysis used 2016 to 2018 data for Medicare beneficiaries. Using a propensity score‐matched sample of beneficiaries with similar likelihood of MA enrollment, we estimated linear probability models with PCP fixed effects of incident dementia diagnosis in 2017 for beneficiaries in MA relative to beneficiaries in TM. RESULTS Among a matched sample of 15,410,030 beneficiaries, accounting for both provider and patient characteristics, the incident dementia diagnosis rate was 0.11 percentage points lower for MA beneficiaries compared to TM beneficiaries attributed to the same PCP. MA patients were less likely to be seen by dementia specialists. DISCUSSION Differences in system‐level factors such as access to dementia specialists is a contributing factor to differences in diagnosis rates in MA and TM. Highlights In this study, we quantify how incident dementia diagnosis rates vary for similar beneficiaries in TM and MA seen by the same PCP. To investigate the role of insurance design on dementia diagnosis, we examined differences in diagnosis rates for TM and MA beneficiaries seen by the same PCP. Among a matched sample of TM and MA beneficiaries with assigned PCPs in 2017, incident dementia diagnosis rates were 0.11 percentage points lower for MA beneficiaries compared to TM beneficiaries seen by the same PCP. MA patients were less likely to be seen by dementia specialists compared to TM beneficiaries seen by the same PCP.

Evaluation of tourism competitiveness is useful for measuring the level of regional tourism development. It is of great importance to understand the advantages and disadvantages of tourism development correctly and formulate corresponding development strategies. To investigate tourism competitiveness, this paper established an evaluation index system, including tourism development competitiveness, tourism resource competitiveness, and tourism-support competitiveness, for 14 prefectures and cities in Xinjiang in China. The characteristics and laws of spatial differentiation were analyzed. Factor analysis was applied to examine the spatial differentiation of regional tourism competitiveness. The results showed an obvious spatial differentiation in tourism competitiveness among the 14 prefectures and cities. In terms of development competitiveness, Yili and Urumqi constituted the spatial center, followed by Changji, Altay, and Ba Prefecture. As the provincial capital, Urumqi has political, economic, cultural, transportation, and geographic advantages, but its competitiveness is not prominent in terms of monopoly and efficiency. In terms of resource competitiveness, Yili is the core attraction, while Urumqi, Kashgar, Altay, and Ba Prefecture are dominant attractions. With respect to supporting competitiveness, Bo Prefecture has high value, followed by Urumqi City and Aksu. Hetian and Ke Prefecture have the lowest values. The comprehensive competitiveness of tourism is centered on Yili. Urumqi and Bo Prefecture are subcenters, and Changji, Altay, Ba Prefecture, Aksu, and Kashgar are characterized as multi-polar competition areas. Using the KMO and Bartlett’s sphericity tests, the cumulative contribution variance of the eigenvalues of the eight factors extracted by the maximum variance rotation method was found to be 92.714%. Socio-economic conditions, tourism resources, infrastructure construction, regional cultural influence, ecological environment carrying capacity, tertiary industry development, tourism service level, and living security system are the main driving factors affecting the spatial differentiation of tourism competitiveness in Xinjiang. Analyzing the spatial evolution characteristics and the driving factors of the regional tourism competitiveness in Xinjiang, this paper seeks to promote the optimal allocation of tourism production factors in the macro regional system, and provide theoretical guidance and an empirical basis for the comprehensive and harmonic development of regional tourism.