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Prevalence of Temporomandibular Disorder Symptoms After Whiplash Trauma—A Systematic Review and Meta-Analysis

Background and Objectives: Temporomandibular disorders (TMDs) is an umbrella term for pain and dysfunction involving jaw muscles and/or the temporomandibular joint, with whiplash trauma suggested to be one risk factor. The aim was to evaluate prevalence and relative risk of TMDs in the acute and chronic stages after whiplash trauma. Databases and Data Treatment: This review was registered in Prosp

Leadership Communication as Materiality, Embodiment, and Aesthetics

The leadership literature has been faulted for framing leaders (and followers) as rational and disembodied information processers. This chapter presents a review of studies that go against this tendency by focusing on how materiality, embodiment, and aesthetics are involved in leadership communication. A number of different perspectives are highlighted in relation to the three focal themes, as welThe leadership literature has been faulted for framing leaders (and followers) as rational and disembodied information processers. This chapter presents a review of studies that go against this tendency by focusing on how materiality, embodiment, and aesthetics are involved in leadership communication. A number of different perspectives are highlighted in relation to the three focal themes, as wel

Reducing the human effort for human-robot cooperative object manipulation via control design

This study is concerned with the shared object manipulation problem in a physical Human-Robot Interaction (pHRI) setting. In such setups, the operator manipulates the object with the help of a robot. In this paper, the operator is assigned with the lead role, and the robot is passively following the forces/torques exerted by the operator. We propose a controller that is free from the well-known tr

Trustworthiness for Deep Learning Based Breast Cancer Detection Using Point-of-Care Ultrasound Imaging in Low-Resource Settings

Poor survival for breast cancer in low- and middle-income countries is largely attributed to late-stage diagnosis and limited access to diagnostic tools. Therefore, we propose using point-of-care ultrasound (POCUS) as a low-cost diagnostic solution paired with a deep learning (DL) model for cancer detection. While using DL has shown great potential, it is crucial to ensure the trustworthiness of a

Kristerssons utrikespolitik ekar i Trumps Gaza-plan

Den nya nationalistiska högern avfärdar FN, klimatavtal och universella mänskliga rättigheter. Sveriges regering har slagit in på samma väg, skriver Adam Almqvist och Anna Lundberg, forskare vid Lunds universitet.

Greenhouse gas emissions in relation to micronutrient intake and implications of energy intake : A comparative analysis of different modelling approaches

BACKGROUND: Human diets account for 30% of greenhouse gas emissions (GHGE). Reporting dietary GHGE with or without energy standardization yields different outcomes, often resulting in conflicting conclusions regarding associations with micronutrient intake.OBJECTIVES: To compare methods of reporting dietary GHGE, with and without consideration of energy intake, and their respective associations wi

Acoustofluidic Chromatography for Extracellular Vesicle Enrichment from 4 μL Blood Plasma Samples

We present a novel acoustofluidic chromatography platform for high-throughput nanoparticle trapping and enrichment, with a focus on extracellular vesicles (EVs) from blood plasma. The system features a packed bed of polystyrene beads inside a rectangular glass capillary, acoustically actuated by a piezoelectric element. Using fluorescent polystyrene nanoparticles as small as 25 nm, we characterize

Energy scaling in a compact bulk multi-pass cell enabled by Laguerre-Gaussian single-vortex beams

We report pulse energy scaling enabled by the use of Laguerre-Gaussian single-vortex (LG0,l) beams for spectral broadening in a sub-40 cm long Herriott-type bulk multi-pass cell. Beams with orders l=1−3 are generated by a spatial light modulator, which facilitates rapid and precise reconfiguration of the experimental conditions. 180 fs pulses with 610 uJ pulse energy are post-compressed to 44 fs u

Influence of the laser pulse duration in high-order harmonic generation

High-order harmonic generation (HHG) in gases is inherently inefficient, prompting ongoing efforts to enhance the output of coherent table-top XUV sources. In this study, we investigate the influence of the laser pulse duration on HHG using a compact post-compression method featuring a bulk multi-pass cell. This setup enables tunable Fourier-limited pulse durations as short as 42 fs. We examine th

Protecting War’s Unseen Environmental Damage

This article explores the evolving legal landscape of environmental protection in armed conflict, emphasizing the critical contributions of the icrc Environmental Guidelines and the principles developed by the International Law Commission’s (ilc) on Protection of the Environment in relation to Armed Conflict (perac principles). By incorporating scientific insights and increasing environmental awar

Mest uppmärksammad politik vinner?

Medieklimatet påverkar inte bara hur politiken kommuniceras utan också vilken politik som formuleras. Kanske är det vi ser i Vita huset medialiseringens logiska slutpunkt: politik som helt underordnad algoritmerna, en ständigt eskalerande reality-show.

Pneumatic tube transport of trastuzumab in IV bags—Effect of headspace and surfactant on subvisible particle formation

In hospitals, IV bags can be prepared in advance for logistical and microbial safety reasons in a compounding unit and then transported to wards. Transport of protein drugs using a pneumatic tube system has been reported to result in high particle levels. In this study, pneumatic tube transport of trastuzumab in saline polyolefin bags was compared to delivery by hospital porters using an electric

Exploring industry stakeholder perspectives on a clinical testbed for evaluating the handling of protein drugs in hospitals

Protein drugs, such as therapeutic antibodies, are complex and require careful handling to maintain their efficacy and quality. Stress factors in hospitals, like temperature variations and mechanical shocks during transport, may negatively impact the stability of protein drugs (e.g. various monoclonal antibodies). The pharmaceutical industry possesses extensive knowledge about their product formul

Particle formation during peristaltic pumping of therapeutic proteins : Hofmeister anions effect

This study reveals specific ion effects on particle formation during peristaltic pumping of a monoclonal Antibody (Antibody A). For this purpose, three anions in the direct Hofmeister series were selected, ranging from the kosmotropic SO42- to the more neutral Cl- and the chaotropic SCN-. Protein particle formation during peristaltic pumping is described primarily as a surface-driven mechanism. Th

Interactions between polysorbate and antimicrobial preservatives in aqueous parenteral products

Biological drugs intended for multidose use normally contain both preservatives and non-ionic surfactants. However, most common preservatives and surfactants in parenteral formulations are considered to be physically incompatible with each other. In this study, the phase separation of polysorbate 20 and polysorbate 80 in the presence of phenolic preservatives is systematically mapped. The observed

Preaching with AI : an exploration of preachers' interaction with large language models in sermon preparation

This study explores how Swedish preachers incorporate AI chats such as ChatGPT into sermon preparation. Based on interviews, chat logs, and sermon manuscripts from six priests in the Church of Sweden, the study uses relevance theory to analyse the preachers' prompting and evaluation strategies. The preachers primarily use large language models (LLMs) for brainstorming and inspiration, critically eThis study explores how Swedish preachers incorporate AI chats such as ChatGPT into sermon preparation. Based on interviews, chat logs, and sermon manuscripts from six priests in the Church of Sweden, the study uses relevance theory to analyse the preachers' prompting and evaluation strategies. The preachers primarily use large language models (LLMs) for brainstorming and inspiration, critically e

Projected changes in near-surface wind speed in the Arctic by a regional climate model

This study investigates seasonal changes in near-surface wind speeds in the Arctic using the regional climate model (RCM) simulations with RCA4 driven by four global climate models (GCMs) CMIP5 under Representative Concentration Pathways (RCP) 4.5 and 8.5 scenarios. In addition, the RCM RCA-GUESS (RCA4 with interactive vegetation dynamics) is used to investigate the role of biogeophysical feedback

Ensemble estimates of global wetland methane emissions over 2000-2020

Due to ongoing climate change, methane (CH4) emissions from vegetated wetlands are projected to increase during the 21st century, challenging climate mitigation efforts aimed at limiting global warming. However, despite reports of rising emission trends, a comprehensive evaluation and attribution of recent changes remains limited. Here we assessed global wetland CH4 emissions from 2000-2020 based