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Social media are increasingly important tools in diplomacy. Diplomats are expected to use social media platforms such as Twitter, Facebook and Instagram to communicate with each other and with both domestic and international publics. This form of communication involves displaying positive emotions to generate attention in a competitive information environment. Emotions are essential to managing pe

As structural components of the glycocalyx, heparan sulfate proteoglycans (HSPGs) are involved in multiple pathophysiological processes at the apex of cell signaling cascades, and as endocytosis receptors for particle structures, such as lipoproteins, extracellular vesicles, and enveloped viruses, including SARS-CoV-2. Given their diversity and complex biogenesis regulation, HSPGs remain understud

In this study, two methods for wastewater treatment plant (WWTP) dimensioning were compared: (1) a traditional guideline-based approach, and (2) a mechanistic model-based approach. The design outputs depended on uncertainties in correlated influent concentrations, which emphasises the importance of uncertainty analysis. The results showed that model-based design could simplify and reduce the time

This Perspective suggests six conceptual propositions to advance care-centric planning and governance in support of SDG 11. By prioritizing relationships, responsiveness, and collective well-being, while also integrating empowerment, environmental stewardship, and cultural diversity, a care-centric approach fosters more inclusive and sustainable cities. Drawing on selected practice-based examples,

Spine Computed Tomography (SCT) is essential for identifying fractures, tumors and degenerative spine diseases, assisting medical practitioners in formulating an accurate diagnosis and treatment. One of the core element of SCT is reporting. The effectiveness of spine reporting is often limited by challenges such as an inadequate infrastructure and lack of experts. Automated SCT analysis has the po

Inferring the cell-type composition of bulk samples can provide biological insight. While bulk transcriptomics data has been extensively used for this purpose, the use of proteomics data has remained unexplored until recently. This study evaluates computational approaches for estimating immune cell composition using bulk sample proteomics data. Leveraging defined immune cell populations and simula

A radiation detection system combining a single-sided silicon strip detector (SSSD) and a high-purity germanium (HPGe) COMPEX detector module together with its anti-Compton shield (ACS) was set up at Lund University for environmental sample measurements. This system enables high sensitivity ––-coincidence analysis, enhancing the identification level of radionuclides in environmental samples. A com

This ESMO CPG provides key recommendations and algorithms for managing DLBCL, FL, HL, MCL, MZL, PCNSL and PTCL. •It covers epidemiology, diagnosis, staging, risk assessment, treatment of primary and refractory disease and follow-up. •Treatment algorithms for each lymphoma type are provided. •The author group encompasses a multidisciplinary group of experts from different institutions and countries

Objective: The aim of this study was to explore experiences and challenges in handling feedback and criticism among early career surgeons. Design: This study is part of a prospective, exploratory, longitudinal study evaluating surgical residents throughout residency. Semi-structured interviews were conducted with medical doctors applying to a locum or residency position in a surgical specialty. An

The rapid growth of smart logistics, driven by IoT devices and data-intensive applications, necessitates secure, scalable, and efficient computing frameworks. As the edge-fog-cloud (EFC) paradigm supports real-time data processing, it faces significant security threats and attacks, including privacy risks, data breaches, and unauthorized access. To address these security threats and attacks, block

The advent of AlphaFold and consumer large language models have elicited unprecedented development of artificial intelligence (AI). AI has had substantial impact in every area of research, including in molecular biology. This is principally in thanks to contributions to the Protein Data Bank and various genome sequence databases, providing an astronomical amount of data for model training. These d

Alzheimer’s disease (AD) is the most common neurodegenerative disorder, affecting millions worldwide. The clinical presentation of AD is heterogenous and often complicated by the presence of multiple co-pathologies, which can overlap with features of other neurodegenerative disorders, underscoring the need for tools to aid accurate and timely diagnosis. Biomarkers for AD span multiple modalities a

Background and purpose: Neuroblastoma is the most common extracranial solid tumour in children. Radiotherapy is commonly part of the multimodal treatment for high-risk patients. The aim of this study is to analyse doses to organs at risk (OAR) in comparative proton and photon treatment plans for children treated for neuroblastoma and report side effects. Patient/material and methods: All children

Purpose: High-risk colon cancer may benefit from preoperative chemotherapy (preCHT), but evidence on its short-term safety and outcome is limited. Population-based evidence before its incorporation into national guidelines is lacking. Methods: Patients with final weighted stage II–III colon cancer undergoing elective resection between 2007 and 2017 were identified in the Swedish Colorectal Cancer

Closed-form conditions for bound states in the continuum are derived for planar, cylindrical, and spherical cavities enclosed by metasurfaces with electric and magnetic response. While the combined response in lossless systems enables field confinement in arbitrarily small cavities, the gain-enabled bound states in the continuum are found to coalesce with a laser mode, leading to intriguing single

Given the increasing number of heterogeneous data stored in relational databases, file systems or cloud environment, it needs to be easily accessed and semantically connected for further data analytic. The potential of data federation is largely untapped, this paper presents an interactive data federation system (https://vimeo.com/319473546) by applying large-scale techniques including heterogeneo