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IntroductionInjury assessment and forensic decision support are pivotal challenges in sports medicine, requiring advanced methods to interpret complex biomechanical and medical imaging evidence under uncertainty. This st...

This article examines how generative AI (GenAI) is reshaping strategic crisis decision-making through the emergence of ‘synthetic foresight’ – the algorithmic simulation of adversary intentions, escalation pathways...

Abstract Accurate differentiation of pulmonary emphysema from chest X-rays remains challenging due to imbalanced data, image noise, and the limitations of traditional deep networks in managing diagnostic uncertainty. In ...

Just as for most other tortoise species, the once common Chacotortoise, Chelonoidis chilensis (Testudinidae), is under constant threat across it distribution in Argentina, Bolivia and Paraguay. Despite initial qualitativ...

Background and purpose: Robust optimization mitigates the effects of range and setup uncertainties in intensity–modulated proton therapy (IMPT) through robustness settings. However, it increases the dose to organs-at-r...

Abstract The growing interest in the electric vehicles (EVs) has highlighted the significance of choosing appropriate battery technologies according to various competing and unpredictable norms. In the development of EV ...

Order acceptance under uncertainty is a critical decision-making problem at the interface between customer relationship management and production planning of order-driven manufacturing systems. In this work, a novel appr...

In this paper we review several studies on V. germanica behavioral plasticity while relocating a food source in natural environments. This exotic social wasp, which has become established in many parts of the world, disp...

Abstrak Penelitian ini menganalisis ketidaklengkapan norma dalam Undang-Undang Nomor 2 Tahun 2014 tentang Jabatan Notaris (UUJN) terkait ketiadaan pengaturan eksplisit mengenai kewenangan notaris dalam penyimpanan ser...

This Innovation Spotlight responds to confusion and uncertainty surrounding “microcredentials”. The authors, from the Higher Education Quality Council of Ontario (HEQCO), offer a working typology that uses “microcr...

ABSTRACT Accurate wood volume predictions are critical in hyperdiverse forests because each species has specific size and shape traits. Although generic models at a multispecies level were widely used in Amazonian manage...

Next generation risk assessment (NGRA) demands a fundamental transformation in how toxicological test methods are validated. Traditional validation approaches, designed for animal tests and mainly for simple in vitro met...

Abstract Background Climate change is increasingly influencing the prevalence and severity of various diseases. While previous studies have linked climate variables to emergency department (ED) admissions, few have exami...

The growth of variable renewable energy sources has increased the occurrence of curtailment in power systems, particularly in regions affected by transmission constraints and limited operational flexibility. Reliable for...

This study aims to determine the influence of teaching materials, especially on the uncertainty material based on Contextual Teaching and Learning (CTL) on the mathematical reasoning ability of high school students. This...

The article examines the potential of applying the concept of social trauma to political consequences for Ukraine in the context of ongoing Russian aggression. The conceptualization of social trauma has distinguished two...

We present results from a data challenge posed to the radial velocity (RV) community: Namely, to quantify the Bayesian "evidence"for n = {0, 1, 2, 3} planets in a set of synthetically generated RV data sets containing a ...

Abstract Understanding and correctly interpreting statistical results presented in scientific articles is a required skill for practicing evidence‐based veterinary medicine. A prerequisite for doing so is the adequate ...

Abstract Multi-object tracking faces two persistent challenges: managing detector confidence and preventing track loss under prolonged occlusions. We introduce Sentinel, an uncertainty-aware tracker that diagnoses per-tr...

Predicting electrical power loads in industrial parks is challenging due to the uncertainty and variance in model construction. This paper proposes an interval forecasting approach based on a residual-form CNN-BiLSTM, wh...

Abstract Background Air pollution poses a significant threat to global public health. While broad mitigation policies exist, an understanding of the economic consequences, both in terms of health benefits and mitigation ...

Background. Respiratory infections remain a major global health burden with significant economic impact. The di-versity of viral pathogens and variability in diagnostic approaches complicate etiological verification in l...

Child adoption is a process attached to anxiety and uncertainty. This research needs to formulate ways to reduce the anxiety and uncertainty experienced by adoptive parents at the beginning of the adoption process. The r...

Abstract Background Single-cell RNA sequencing (scRNA-seq) is considered a revolution in gene expression studies and offers significant benefits across various fields of biomedical or clinical applications. However, a hi...