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2,517 papers
Background and Aims Ovarian cancer is one of the most common gynaecological malignancies in women and the most lethal. High grade serous ovarian cancer (HGSOC) accounts for the majority of ovarian cancer deaths. Expert pathologists play a critical role in the diagnosis of ovarian cancer and in the stratification of pat...
Wildlife can act as sentinel species to monitor for the emergence and adaption of pathogenic diseases and related public and veterinary health and welfare threats, such as antimicrobial and anthelmintic resistance. As ruminants, deer are closely related to the domesticated livestock species raised in Northern Ireland,...
Introduction Cardiovascular disease (CVD) is a leading cause of morbidity and mortality worldwide (WHO, 2021a). Several CVD risk factors are controllable, including weight, diet, physical activity, smoking, and alcohol consumption (WHO, 2021a). CVD is caused by an accumulation of risk factors (Hajar, 2017). The more ri...
The powerful computing capabilities of quantum computers and certain quantum computing-based algorithms pose significant threats to current cryptographic algorithms. Public key algorithms, such as RSA and ECC, will no longer be secure in the era of quantum computers. PQC and quantum encryption are two encryption techno...
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Background: Empathy is considered a significant factor in facilitating client improvements and has been found to be closely related to therapeutic alliance. There is currently a lack of research examining the behavioural markers of empathy. Active listening has been identified as an important factor in demonstrating em...
Amphibians have evolved various skin secretions to fight against pathogens and their predators. These secretions also have medicinal functions, which some ancient people utilised to cure diseases. With more pathogens developing resistance to clinical antibiotics nowadays, there is an urgent need for new antibiotic reso...
Software systems evolve continuously through frequent code changes, yet such changes often introduce unintended bugs despite extensive testing and code review. Existing testing approaches are largely constrained to predefined execution paths or rely on unguided exploration, leaving many change-induced issues undetected...
Machine learning (ML) compilers play a key role in enabling high-performance implementations of ML workloads. These compilers use existing CPU and GPU backends to generate device-specific code. In recent years, many tensor accelerators (or AI accelerators) have been designed to further accelerate these workloads, with...
Introduction Colourectal cancer (CRC) is a common heterogeneous malignancy with a number of different disease subtypes influenced by distinct biology. The clinical implications of this disease heterogeneity are likely to influence treatment strategies further in the future. Therefore, patient stratification is paramoun...
The geometrical design of the airbox for an internal combustion engine has a significant effect on the pressure loss in the entire inlet tract. Due to the location of the airbox, its size and shape is usually limited as a result of the proximity to other under-bonnet features. The shape is also limited by manufacturing...
Food fraud is an economically motivated concept that has occurred within the food supply system since trading began. It has been defined as the deliberate and intentional substitution, addition, tampering or misrepresentation of food, food ingredients and food packaging for an economic gain. It is in many cases close t...
This software release provides the executable and reproducibility infrastructure for the preregistered B1 Gray–Scott driven-pattern baseline within the Theory of Everything Research Programme. The package implements the frozen version 1.1.0 confirmatory protocol associated with OSF preregistration DOI 10.17605/OSF.IO/G...
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
GPT-Lab
· gpt-lab.eu
Sep 23, 2026
Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…
GPT-Lab
· gpt-lab.eu
Sep 17, 2026
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
We’re launching agentic video understanding across our latest Gemini models for improved accuracy and lower costs and token usage.
In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value — and why innovation resists simple formulas.
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