While some researchers propose the existence of a special numerosity sense, others challenge this view and argue that numerosity is derived from low-level features as density information. Here, we used size adaptation to manipulate the apparent area size of an object set without changing its physical density. After size adaptation, two probe patches were shown, each of which contained a specific numerosity of dots. Subjects were required to report, which probe patch contained more dots. Numerosity perception was compared between conditions where probe patches were adapted to appear smaller or larger. Size adaptation affected numerosity perception in a logarithmic fashion, increasing with the numerosity in the probe patch. No changes in density perception were found after size adaptation. Data suggest that size and density information play only a minor role in the estimation of low numerosities. In stark contrast, high numerosities strongly depend on size and density information. The data reinforce recent claims of separate mechanism for the perception of low and high numerosities.
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http://dx.doi.org/10.1038/srep32810 | DOI Listing |
JMIR Public Health Surveill
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Monitoring, Evaluation, and Learning Platform USAID, Jakarta, Indonesia.
Background: Indonesia's vast archipelago and substantial population size present unique challenges in addressing its multifaceted HIV epidemic, with 90% of its 514 districts and cities reporting cases. Identifying key populations (KPs) is essential for effectively targeting interventions and allocating resources to address the changing dynamics of the epidemic.
Objective: We examine the 2022 mapping of Indonesia's KPs to develop improved HIV and AIDS interventions.
Protoplasma
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Laboratory of Plant Cytogenetics and Evolution, Department of Botany, Biosciences Centre, Federal University of Pernambuco, Recife, PE, 50670-901, Brazil.
Repetitive elements are the main components of many plant genomes and play a crucial role in the variation of genome size and structure, ultimately impacting species diversification and adaptation. Alstroemeriaceae exhibits species with large genomes, not attributed to polyploidy. In this study, we analysed the repetitive fraction of the genome of Bomarea edulis through low-coverage sequencing and in silico characterization, and compared it to the repeats of Alstroemeria longistaminea, a species from a sister genus that has been previously characterized.
View Article and Find Full Text PDFTech Innov Patient Support Radiat Oncol
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MD Anderson Cancer Center at Cooper, 2 Cooper Plaza, Camden, NJ 08103, USA.
We present specific issues that arose when using a 1.5-Tesla MR-Linac to treat a series of 4 soft-tissue sarcoma (STS) patients. These issues arose from the combination of typical STS attributes (long, off-axis target) and MR-Linac design-specific limitations on field size and patient positioning.
View Article and Find Full Text PDFBMC Psychol
January 2025
Department of Nutrition and Dietetics, Faculty of Health Science, Istanbul Beykent University, Istanbul, Turkey.
Background: This study aimed to adapt the Psychological Food Involvement Scale (PFIS) to Turkish culture and test its validity and reliability. The PFIS measures individuals' psychological, emotional, and social relationships with food, which significantly impact eating behaviors and health.
Methods: The study was conducted with 478 participants aged 18-65.
Trials
January 2025
Department of Electrical and Computer Engineering, Princeton University, Princeton, 08544, NJ, USA.
Background: Phase-3 clinical trials provide the highest level of evidence on drug safety and effectiveness needed for market approval by implementing large randomized controlled trials (RCTs). However, 30-40% of these trials fail mainly because such studies have inadequate sample sizes, stemming from the inability to obtain accurate initial estimates of average treatment effect parameters.
Methods: To remove this obstacle from the drug development cycle, we present a new algorithm called Trend-Adaptive Design with a Synthetic-Intervention-Based Estimator (TAD-SIE) that powers a parallel-group trial, a standard RCT design, by leveraging a state-of-the-art hypothesis testing strategy and a novel trend-adaptive design (TAD).
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