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Phase retrieval is a fundamental problem in optics, particularly in ptychography, where reconstructing an unknown wavefield from intensity-only measurements poses significant computational challenges. In this work, we introduce a novel phase retrieval method using the bilinear Hessian and Hessian operator to improve optimization efficiency. By formulating the problem in a differential calculus fra
In the face of escalating climate risks and impacts, the majority of people will not be able to move, will choose not to move, or may perhaps temporarily move and return to their homes. Understanding immobility in the context of climate change is thus essential to support the development of equitable and effective adaptation strategies and the resilience of people and communities that remain in at
This chapter focuses on how sense of coherence (SOC) impacts health, mental health, QoL and health behaviour, presenting the current state of knowledge from a population and a professional perspective. The first research around the SOC concept was focused on general samples in large population studies aiming at testing the SOC scales. Thereafter, professionals in the health-care sector run researc
The vast bandwidth available at sub-THz frequencies holds great promise for high-speed wireless access, precise localization, and advanced sensing applications. However, fundamental physical constraints and technological limitations make the deployment of reliable sub-THz networks challenging. We propose a new paradigm for sub-THz coverage by transmitting the RF signals over polymer microwave fibe
This article develops Border Work (BW) as a theoretical concept and methodological approach, underexplored in socio-legal scholar-activism, through analysing two distinct examples: Noor, who applied for protection, and her individual and collective struggle for residency and the making of a manifesto against borders. While both examples depart from feminist methodology, the differences are stark:
Background: HIV-related stigma interventions targeting adolescents living with HIV (ALHIV) are limited. When available, most of these interventions operate at a single socioecological level and target a single stigma domain, and participatory design is rare. Objective: This study aimed to explore the psychosocial support intervention needs of ALHIV from the perspectives of adolescents, caregivers,
Elevated air temperature and atmospheric vapor pressure deficit (VPD) are key drivers of plant physiological and ecological processes. However, their relative impacts on vegetation productivity remain difficult to isolate due to the strong coupling between them. This coupling complicates efforts to disentangle independent effects, particularly under compound drought conditions at regional or globa
Previous research shows that welfare cuts often cause distress amongst frontline workers. From the perspective of organisations implementing cuts, distressed caseworkers may hinder cost reductions and delay implementation. However, previous research has not analysed whether public agencies seek to reduce the moral distress experienced by their employees. This article examines the reorganisation of
Background General adiposity, assessed by body mass index (BMI), is a well-established cancer risk factor. This study compared waist circumference (WC), a measure of abdominal adiposity, with BMI as a risk factor for obesity-related cancers, and assessed whether WC provides additional information beyond BMI. Methods We analyzed data from 339 190 individuals in a pooled Swedish cohort with baseline
Changes in temperature and rainfall associated with altered climatic conditions are likely to significantly alter rates of soil organic matter decomposition. To determine how the combined effects of warming and drought impact the decomposition of fungal necromass, a large and fast-cycling portion of the global soil organic carbon (C) pool, we incubated Hyaloscypha bicolor necromass under both ambi
Generative AI with spectroscopy is an innovative approach that combines artificial intelligence techniques with spectroscopic analysis, enabling researchers to extract valuable insights from complex spectral data more efficiently and accurately. AI can create high-precision synthetic spectra, enhance signal-to-noise ratios, and support spectral reconstruction by employing deep learning techniques
For several decades, it was widely believed that a noninteracting disordered electronic system could only undergo an Anderson metal–insulator transition due to Anderson localization. However, numerous recent theoretical works have predicted the existence of a disorder-driven non-Anderson phase transition that differs from Anderson localization. The frustration lies in the fact that this non-Anders
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
Ethylcellulose thickened oil (EC oleogels) has a significant retarding effect on lipolysis and may be used for controlled-release formulations. However, the high temperature (above 150 °C) used during the gel-forming process becomes an obvious limitation that hinders the application of EC oleogels to temperature-sensitive active ingredients. A cold-mixing procedure that could allow for an encapsul
Science diplomacy is a unique research field that is driven and shaped by scholars and practitioners alike. This study examines whether and how recent trends in the broader science diplomacy discourse have impacted scholarship on the topic. First, it examines whether the pertinent scholarship is as international in outlook as practitioners have made science diplomacy out to be. Second, the study i
Post-extrusion flow dynamics of soft matter are governed by their elasto-viscoplastic (EVP) rheological properties, which influence filament stability, die swelling, and shape fidelity in extrusion-based 3D printing. Achieving precision and control in printed structures requires optimizing yield stress, viscoelasticity, and extrusion pressure to minimize excessive die swelling and material spreadi
Protein–protein interactions are fundamental to biological functions as well as the design of new functional food products and biomedicines. However, they can be challenging to computationally quantify due to strong forces and sensitivity to pronounced solution conditions. This thesis combines computational methods with Monte Carlo simulations to investigate strong protein interactions in diverse
Optical sensor technologies are central to the advancement of Internet of Things (IoT) ecosystems and smart systems. Among these, photodetectors—a key subset of optical sensors—find extensive applications in areas such as smart sensing, home automation, autonomous vehicles, wearable electronics, and AI-driven platforms. The demand for highly sensitive, cost-effective, flexible, and lightweight pho
The androgen receptor (AR) is a critical driver of prostate cancer (PCa). Here, to study regulators of AR protein levels and oncogenic activity, we developed a live-cell quantitative endogenous AR fluorescent reporter. Leveraging this AR reporter, we performed genome-scale CRISPRi flow cytometry sorting screens to systematically identify genes that modulate AR protein levels. We identified and val
