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Using Marcus theory, the electric-field-dependent charge-separation dynamics of non-fullerene acceptors D/A heterojunctions are simulated. On the D/A interface, the excited-state characteristics show obvious differences under different electric field intensities, providing microscopic details of the non-fullerene D/A interface at the atomic level. For different electric field conditions, so the ca
Understanding the trade-off between energy expenditure of carrying large fuel loads and the risk of fuel depletion is imperative to understand the evolution of flight strategies during long-distance animal migration. Global flyways regularly involve sea crossings that may impose flight prolongations on migrating land-birds and thereby reduce their energy reserves and survival prospects. We studied
Perovskite thin films hold great promise for optoelectronic applications, such as solar cells and light-emitting diodes. One challenge is the inevitable formation of defects in the material. A thorough understanding of the defect formation and its dynamics has proven difficult based on traditional spectroscopy. Here, we have integrated functional intensity modulation two-photon spectroscopy with a
The advent of optogenetic tools has had a profound impact on modern neuroscience research, revolutionizing our understanding of the brain. These tools offer a remarkable ability to precisely manipulate specific groups of neurons with an unprecedented level of temporal precision, on the order of milliseconds. This breakthrough has significantly advanced our knowledge of various physiological and pa
Over the past two decades, intensive research efforts have been devoted to suppressions of Auger recombination in metal-chalcogenide and perovskite nanocrystals (PNCs) for the application of photovoltaics and light emitting devices (LEDs). Here, we have explored dodecahedron cesium lead bromide perovskite nanocrystals (DNCs), which show slower Auger recombination time compared to hexahedron nanocr
Background Vaccine effectiveness against COVID-19 needs to be assessed in diverse real-world population settings.Methods A cohort study of 805 741 residents in Skåne county, Southern Sweden, aged 18-64 years, of whom 26 587 received at least one dose of the BNT162b2 vaccine. Incidence rates of COVID-19 were estimated in sex- and age-adjusted analysis and stratified in two-week periods with substan
Electronic health records (EHRs) are a rich source of information for medical research and public health monitoring. Information systems based on EHR data could also assist in patient care and hospital management. However, much of the data in EHRs is in the form of unstructured text, which is difficult to process for analysis. Natural language processing (NLP), a form of artificial intelligence, h
In polaritons, the properties of matter are modified by mixing the molecular transitions with light modes inside a cavity. Resultant hybrid light-matter states exhibit energy level shifts, are delocalized over many molecular units, and have a different excited-state potential energy landscape, which leads to modified exciton dynamics. Previously, non-Hermitian Hamiltonians have been derived to des
BACKGROUND: Most cerebral palsy (CP) cases have an unexplained etiology, but a role for environmental exposures has been suggested. One purported environmental risk factor is exposure to endocrine-disrupting pollutants specifically per- and polyfluoroalkyl substances (PFAS).OBJECTIVES: We investigated the association between prenatal PFAS exposures and CP in Swedish children.METHODS: In this case-
ObjectiveTo determine the feasibility of a digitally automated population-based programme for organised prostate cancer testing (OPT) in Southern Sweden.Patients and MethodsA pilot project for a regional OPT was conducted between September 2020 and February 2021, inviting 999 randomly selected men aged 50, 56, or 62 years (y). Risk stratification was based on PSA, PSA density (PSAD), and biparamet
Reducing the excitation threshold to minimize the Joule heating is critical for the realization of perovskite laser diodes. Although bound excitons are promising for low threshold laser, how to generate them at room temperature for laser applications is still unclear in quasi-2D perovskite-based devices. In this work, via engineering quasi-2D perovskite PEA2(CH3NH3)n-1PbnBr3n+1 microscopic grains
Charles Tilly was instrumental in launching the comparative study of contentious politics through key contributions delineating and defining the subject matter. But his input is epistemological as well as theoretical and substantive. What characterizes his epistemology is a realist mechanistic explanation rendering mechanisms tools of both explanation and comparison. Employing the realist perspect
Today, the overwhelming majority of Internet of Things (IoT) and mobile edge devices have extreme resource limitations, e.g., in terms of computing, memory, and energy. As a result, training Deep Neural Networks (DNNs) using the complex Backpropagation (BP) algorithm on such edge devices presents a major challenge. Forward-only algorithms have emerged as more computation- and memory-efficient alte
Objective: The aim of this study is to describe how the use of diagnostic imagingfor prostate cancer (PCa) has evolved over time and to determine whether thereare any differences in access to diagnostic imaging, type of cancers detected, andmortality based on the education level of patients.Methods: 11,063 men were recruited between 1991 and 1996 and thenprospectively followed until 2020. All new
Two-dimensional terahertz spectroscopy (2DTS) is a low-frequency analog of two-dimensional optical spectroscopy that is rapidly maturing as a probe of a wide variety of condensed matter systems. However, a persistent problem with 2DTS is the long experimental acquisition times, which prevent its broader adoption. A potential solution, requiring no increase in experimental complexity, is signal rec
The enhancement of the electromagnetic field elicited by localized surface plasmon resonance (LSPR) is conducive to the generation of charge carriers, which have an important effect in driving many kinds of chemical reactions. Nonetheless, the short lifespan of charge carriers generated by plasmon (typically femtoseconds to nanoseconds) limits their effectiveness in promoting chemical reactions. H
Machine Learning (ML) offers many opportunities, but its reliance on personal data raises privacy concerns. One such example is the Membership Inference Attack (MIA), which aims to determine whether a specific data point was part of a model’s training dataset. In this paper, we investigate this attack on Random Forests (RFs) and propose a method to quantify their vulnerability to MIA. We also demo
Vision impairment increases risks such as social isolation, mobility challenges, and falls. Wearable Augmented Reality (AR) devices with Artificial Intelligence (AI) can enhance sensory perception by enabling real-time recognition of obstacles, assisting visually impaired individuals during street navigation, aiming to reduce the risk of falls. In this paper, we propose a Federated Learning (FL) f
