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Formant analysis of vertebrate vocalizations : achievements, pitfalls, and promises

When applied to vertebrate vocalizations, source-filter theory, initially developed for human speech, has revolutionized our understanding of animal communication, resulting in major insights into the form and function of animal sounds. However, animal calls and human nonverbal vocalizations can differ qualitatively from human speech, often having more chaotic and higher-frequency sources, making

(Un)sheltered from the storm : A wind shelter as focal point for recreational nature use conflicts

In recent years, a growing interest in sustainable tourism and outdoor recreation has emerged in Sweden and globally. While a positive development for many reasons, it coincides with other shifting patterns in recreational nature use, influenced by climate change, social media, and experimental interventions in natural areas. These developments bring opportunities to broaden participation, but als

International Organizations and Transnational Corporations at a World Court of Human Rights

This article is based on the author's involvement in preparing a Draft Statute for a future World Court of Human Rights. The proposal seeks to modify the traditional vertical structure of human rights norms by introducing a mechanism for adjudicating claims about human rights violations by actors other than states, including by international organizations (IO) or transnational corporations (TNC).

Midwifery continuity of care in the Nordic countries : A scoping review protocol

Objective: To provide a protocol for a scoping review aimed to map, identify, analyze and describe studies on women and their infants receiving Midwifery Continuity of Care in the Nordic countries. AbstractIntroduction: Midwifery Continuity of Care (MCoC) throughout pregnancy, birth, and the postnatal period has been associated with improved outcomes and higher satisfaction of care among women. In

Chemical Abundances in the Nuclear Star Cluster of the Milky Way : Alpha-element Trends and Their Similarities with the Inner Bulge

Chemical characterization of the Galactic center is essential for understanding its formation and structural evolution. Trends of alpha (α) elements, such as magnesium, silicon, and calcium, serve as powerful diagnostic tools, offering insights into star formation rates and gas-infall history. However, high extinction has previously hindered such studies. In this study, we present a detailed chemi

Income and education affect prognosis and treatment in symptomatic myeloma : A population-based study on 8672 multiple myeloma patients diagnosed 2008–2021 from the Swedish myeloma registry

Despite advancements in multiple myeloma treatment, prognostic variability persists. We investigated the impact of income and education on treatment and survival in a country with publicly funded healthcare. We analysed data from the Swedish Myeloma Registry (2008–2021) linked to national registers. Cox models assessed survival, adjusting for demographics and comorbidities. Treatment patterns were

Uncertainty-Aware Decision-Making and Planning for Autonomous Forced Merging

In this paper, we develop an uncertainty-aware decision-making and motion-planning method for an autonomous ego vehicle in forced merging scenarios, considering the motion uncertainty of surrounding vehicles. The method dynamically captures the uncertainty of surrounding vehicles by online estimation of their acceleration bounds, enabling a reactive but rapid understanding of the uncertainty chara

Robust motion planning for autonomous vehicles based on environment and uncertainty-aware reachability prediction

Planning and navigation in real-time traffic is challenging, since the driving environment (e.g., road network and infrastructure) is complex and the accurate prediction of surrounding vehicles is hard. To address this, this paper proposes an environment and uncertainty-aware robust motion-planning strategy. The method achieves environment awareness by considering road-geometry constraints in the

Robust Predictive Motion Planning by Learning Obstacle Uncertainty

Safe motion planning for robotic systems in dynamic environments is nontrivial in the presence of uncertain obstacles, where estimation of obstacle uncertainties is crucial in predicting future motions of dynamic obstacles. The worst case characterization gives a conservative uncertainty prediction and may result in infeasible motion planning for the ego robotic system. In this article, an efficie