Vat photopolymerization 3D printing optimization: Analysis of print conditions and print quality for complex geometries and ocular applications.

3D printing, also known as additive manufacturing, continues to reshape manufacturing paradigms in healthcare by providing customized on-demand object fabrication. However, stereolithography-based 3D printers encounter a conflict between optimizing printing parameters, requiring more time, and print efficiency, requiring less time. Moreover, commonly used metrics to assess shape fidelity of 3D printed hydrogel materials like 'circularity' and 'printability' are limited by the soft nature of hydrogels, that can cause irregularities in their boundary.

Predecisional information search adaptively reduces three types of uncertainty.

How do people search for information when they are given the opportunity to freely explore their options? Previous research has suggested that people focus on reducing uncertainty before making a decision, but it remains unclear how exactly they do so and whether they do so consistently. We present an analysis of over 1,000,000 information-search decisions made by over 2,500 individuals in a decisions-from-experience setting that cleanly separates information search from choice. Using a data-driven approach supported by a formal measurement framework, we examine how people allocate samples to options and how they decide to terminate search.

How large language models can reshape collective intelligence.

Collective intelligence underpins the success of groups, organizations, markets and societies. Through distributed cognition and coordination, collectives can achieve outcomes that exceed the capabilities of individuals-even experts-resulting in improved accuracy and novel capabilities. Often, collective intelligence is supported by information technology, such as online prediction markets that elicit the 'wisdom of crowds', online forums that structure collective deliberation or digital platforms that crowdsource knowledge from the public.

A tutorial on open-source large language models for behavioral science.

Large language models (LLMs) have the potential to revolutionize behavioral science by accelerating and improving the research cycle, from conceptualization to data analysis. Unlike closed-source solutions, open-source frameworks for LLMs can enable transparency, reproducibility, and adherence to data protection standards, which gives them a crucial advantage for use in behavioral science. To help researchers harness the promise of LLMs, this tutorial offers a primer on the open-source Hugging Face ecosystem and demonstrates several applications that advance conceptual and empirical work in behavioral science, including feature extraction, fine-tuning of models for prediction, and generation of behavioral responses.

Novel embeddings improve the prediction of risk perception.

Unlabelled: We assess whether the classic psychometric paradigm of risk perception can be improved or supplanted by novel approaches relying on language embeddings. To this end, we introduce the Basel Risk Norms, a large data set covering 1004 distinct sources of risk (e.g.

Convergence of Age Differences in Risk Preference, Impulsivity, and Self-Control: A Multiverse Analysis.

Objectives: Numerous theories exist regarding age differences in risk preference and related constructs, yet many of them offer conflicting predictions and fail to consider convergence between measurement modalities or constructs. To pave the way for conceptual clarification and theoretical refinement, in this preregistered study we aimed to comprehensively examine age effects on risk preference, impulsivity, and self-control using different measurement modalities, and to assess their convergence.

Methods: We collected a large battery of self-report, informant report, behavioral, hormone, and neuroimaging measures from a cross-sectional sample of 148 (55% female) healthy human participants between 16 and 81 years (mean age = 46 years, standard deviation [SD] = 19).

A review of using Traditional Chinese Medicine in the management of glaucoma and cataract.

Traditional Chinese Medicine has a long history in ophthalmology in China. Over 250 kinds of Traditional Chinese Medicine have been recorded in ancient books for the management of eye diseases, which may provide an alternative or supplement to current ocular therapies. However, the core holistic philosophy of Traditional Chinese Medicine that makes it attractive can also hinder its understanding from a scientific perspective - in particular, determining true cause and effect.

Structural differences in the semantic networks of younger and older adults.

Cognitive science invokes semantic networks to explain diverse phenomena, from memory retrieval to creativity. Research in these areas often assumes a single underlying semantic network that is shared across individuals. Yet, recent evidence suggests that content, size, and connectivity of semantic networks are experience-dependent, implying sizable individual and age-related differences.

Landmark tracking in 4D ultrasound using generalized representation learning.

Purpose: In this study, we present and validate a novel concept for target tracking in 4D ultrasound. The key idea is to replace image patch similarity metrics by distances in a latent representation. For this, 3D ultrasound patches are mapped into a representation space using sliced-Wasserstein autoencoders.

On the semantic representation of risk.

What are the defining features of lay people's semantic representation of risk? We contribute to mapping the semantics of risk based on word associations to provide insight into both universal and individual differences in the representation of risk. Specifically, we introduce a mini-snowball word association paradigm and use the tools of network and sentiment analysis to characterize the semantics of risk. We find that association-based representations not only corroborate but also extend those extracted from past survey- and text-based approaches.

Using Network Science to Understand the Aging Lexicon: Linking Individuals' Experience, Semantic Networks, and Cognitive Performance.

People undergo many idiosyncratic experiences throughout their lives that may contribute to individual differences in the size and structure of their knowledge representations. Ultimately, these can have important implications for individuals' cognitive performance. We review evidence that suggests a relationship between individual experiences, the size and structure of semantic representations, as well as individual and age differences in cognitive performance.

Medical Robotics for Ultrasound Imaging: Current Systems and Future Trends.

Purpose Of Review: This review provides an overview of the most recent robotic ultrasound systems that have contemporary emerged over the past five years, highlighting their status and future directions. The systems are categorized based on their level of robot autonomy (LORA).

Recent Findings: Teleoperating systems show the highest level of technical maturity.

A Description-Experience Framework of the Psychology of Risk.

The modern world holds countless risks for humanity, both large-scale and intimately personal-from cyberwarfare, pandemics, and climate change to sexually transmitted diseases and drug use and abuse. Many risks have prompted institutional, regulatory, and technological countermeasures, the success of which depends to some extent on how individuals learn about the risks in question. We distinguish between two powerful but imperfect teachers of risk.

Targeting Higher Intraoperative Blood Pressures Does Not Reduce Adverse Cardiovascular Events Following Noncardiac Surgery.

Background: Intraoperative arterial hypotension is strongly associated with postoperative major adverse cardiovascular events (MACE); however, whether targeting higher intraoperative mean arterial blood pressures (MAPs) may prevent adverse events remains unclear.

Objectives: This study sought to determine whether targeting higher intraoperative MAP lowers the incidence of postoperative MACE.

Methods: This single-center randomized controlled trial assigned adult patients at cardiovascular risk undergoing major noncardiac surgery to an intraoperative MAP target of ≥60 mm Hg (control) or ≥75 mm Hg (MAP ≥).

Towards automated ultrasound imaging-robotic image acquisition in liver and prostate for long-term motion monitoring.

Real-time volumetric (4D) ultrasound has shown high potential for diagnostic and therapy guidance tasks. One of the main drawbacks of ultrasound imaging to date is the reliance on manual probe positioning and the resulting user dependence. Robotic assistance could help overcome this issue and facilitate the acquisition of long-term image data to observe dynamic processesover time.

Estimating the number of clusters via a corrected clustering instability.

We improve instability-based methods for the selection of the number of clusters in cluster analysis by developing a corrected clustering distance that corrects for the unwanted influence of the distribution of cluster sizes on cluster instability. We show that our corrected instability measure outperforms current instability-based measures across the whole sequence of possible , overcoming limitations of current insability-based methods for large . We also compare, for the first time, model-based and model-free approaches to determining cluster-instability and find their performance to be comparable.

Online sensory feedback during active search improves tactile localization.

Natural motor behavior is usually refined by ongoing sensory input in closed feedback loops. Research has suggested that humans make systematic errors when localizing touch on the skin, and that perceptual body representations underlying these behaviors are distorted. However, experimental procedures usually prevent participants from touching the target limb, interrupting the natural action-perception loop.

New Perspectives on the Aging Lexicon.

The field of cognitive aging has seen considerable advances in describing the linguistic and semantic changes that happen during the adult life span to uncover the structure of the mental lexicon (i.e., the mental repository of lexical and conceptual representations).

Three gaps and what they may mean for risk preference.

Risk preference is one of the most important building blocks of choice theories in the behavioural sciences. In economics, it is often conceptualized as preferences concerning the variance of monetary payoffs, whereas in psychology, risk preference is often thought to capture the propensity to engage in behaviour with the potential for loss or harm. Both concepts are associated with distinct measurement traditions: economics has traditionally relied on behavioural measures, while psychology has often relied on self-reports.

Realizing Relational Preferences Through Transforming Interpersonal Patterns.

Family therapy has often been conceptualized as a conversational process whereby therapists and clients generate new meanings. Based on a 3-year study of conversational practices observable in successful family therapy processes of Chilean families with a child/adolescent who is engaged in disruptive behaviors, we looked for clinical examples of Transforming Interpersonal Patterns (TIPs). TIPs are a key aspect of the IPscope, a framework we used to explore the meaning-making processes in family therapy.