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Lead-free perovskites (LFPs) are an emergent class of materials with great potential as next-generation candidates for energy and optoelectronic applications, offering a sustainable and non-toxic alternative to their lead-based counterparts. Computational studies play a central role in accelerating the discovery, design, and optimization of these materials by enabling predictive insights into elec

Bayesian optimization is a widely used method for optimizing expensive black-box functions, with Expected Improvement being one of the most commonly used acquisition functions. In contrast, information-theoretic acquisition functions aim to reduce uncertainty about the function’s optimum and are often considered fundamentally distinct from EI. In this work, we challenge this prevailing perspective

Implementing the Internet of Things (IoT) into business models has become an influential catalyst, supporting novel revenue generation, improved operational efficiencies, and competitive dominance. Still, its implementation has been challenged by barriers to technological, organizational, and societal dimensions. The current study utilizes the Fuzzy Decision-Making Trial and Evaluation Laboratory

BACKGROUND: Dementia with Lewy Bodies (DLB) is often misdiagnosed or conflated with Alzheimer's Disease (AD) due to overlapping clinical presentations and neuropathological features. The presence of AD-like features correlates with accelerated cognitive decline and a worse overall prognosis. Compared to AD, studies suggest that amyloid uptake in DLB may spare the occipital lobe. This project aims

This paper introduces the comprehensive web-based IWG5 tool to evaluate energy consumption, renovation costs, and environmental impacts for European residential and office building renovations. Developed to support the SET-Plan Implementation Working Group 5 on Energy Efficiency in Buildings, the tool establishes benchmarks across five European climate zones by integrating dynamic building perform

Cells grow by acquiring external resources and transforming them internally, forming new cells as they divide. Metabolic networks focus on the flow of such resources within the cell as they undergo series of biochemical reactions. How population growth emerges from these complex dynamical networks remains unclear. Modeling the emergence of population growth, a central ecological concept, is thus e

Background: Altered metabolism after liver surgery adds complexity topostoperative pain management. Opioids administered via intravenousPatient Controlled Analgesia (PCA) is one of the main alternatives forinitial pain management. Paracetamol is considered potentially dangerousafter liver surgery but used selectively. This study evaluates whether thereis a difference in patient outcome after hepat

Rapid and cost-effective retrieval of endogenous DNA from ancient specimens remains a limiting factor in palaeogenomic research. Many methods have been developed to increase ancient DNA yield, but modifications to existing protocols are often based on personal experience rather than systematic testing. Here, we present a new silica column-based extraction protocol, where optimizations were tested

Monitoring the spatial distribution and trends in surface greenhouse gas (GHG) fluxes, as well as flux attribution to natural and anthropogenic processes, is essential to track progress under the Paris Agreement and to inform its global stocktake. This study updates earlier syntheses (Petrescu et al., 2020, 2021, 2023), provides a consolidated synthesis of CH4 emissions using bottom-up (BU) and to

This Regional Outlook focuses on the obstacles of delivering humanitarian aid to Gaza and the challenges of rebuilding and reconstructing the area after the war.

RNA medicines represent a paradigm shift in treatment and prevention of critical diseases of global significance, e.g., infectious diseases. The highly successful messenger RNA (mRNA) vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were developed at record speed during the coronavirus disease 2019 pandemic. A consequence of this is exceptionally shortened vaccine deve

As one of the most critical components of the vanadium redox flow battery (VRFB), the ion exchange membrane directly influences the battery efficiency and cycle life. Herein, poly(isatin triphenyl) (PIT) containing a lactam structure and devoid of ether bonds is synthesized from isatin and p-terphenyl under superacid catalysis. To achieve the ion transport and investigate the impact of side chain

We report two crystal structures of the PARP domain of human tankyrase-2 (TNKS2). Tankyrases are involved in fundamental cellular processes such as telomere homeostasis and Wnt signaling. The complex of TNKS2 with the potent inhibitor XAV939 provides insights into the molecular basis of the strong interaction and suggests routes for further development of tankyrase inhibitors.

COVID-19 is a severe respiratory disease affecting millions worldwide, causing significant morbidity and mortality. Adrenomedullin (bio-ADM) is a vasoactive hormone regulating the endothelial barrier and has been associated with COVID-19 mortality and other adverse events. This prospective cohort pilot study included 119 consecutive patients with verified SARS-CoV-2 infection admitted to two inten

Advancing the use of air-sensitive polar organometallic Grignard and organolithium reagents under more environmentally benign conditions, here we report the addition of these reagents to a-b unsaturated ketones and aldehydes using the deep eutetic solvent (DES) choline chloride (ChCl): glycerol (Gly) (1:2), under air. Reactions occur at room temperature within seconds with excellent regioselective

Collecting detailed hydrogeological data before, during, and after remediation campaigns is essential for effective management and monitoring of contaminated sites. As in-situ remediation injection treatment becomes more popular, recording the hydraulic response during these events offers an opportunity to collect detailed data on hydrogeological parameters. Often, multiple injections are performe

Introduction: Social robots are accompanied by high expectations of what they can bring to society and in the healthcare sector. So far, promising assumptions have been presented about how and where social robots are most relevant. We know that the industry has used robots for a long time, but what about social uptake outside industry, specifically, in the healthcare sector? This study discusses w