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Autonomous robots capable of turning natural-language instructions into reliable physical actions remain a central challenge in artificial intelligence. Here we show that connecting a large language model agent to the robot operating system enables a versatile framework for embodied intelligence, and we release the complete implementation as freely available open-source code. The agent automatical
We introduce a two-phase quadratic integrate-and-fire (QIF) neuron whose membrane potential evolves according to two alternating Riccati equations within finite bounds. This simple extension removes the unphysical voltage divergence of the standard QIF model while producing realistic spike waveforms. Despite this modification, the system retains an exact low-dimensional description in the thermody
INTRODUCTION: Resection of intraductal papillary mucinous neoplasm (IPMN) aims to prevent progression to invasive pancreatic cancer. However, the risks of pancreatic surgery and frequent findings of low-grade dysplasia (LGD) raise concerns about overtreatment. This EAHPBA-endorsed multinational study evaluated short- and long-term overall survival (OS) following preventive resection for IPMN (with
This paper presents a two-phase heuristic methodology aimed at the reconfiguration of a radial distribution network with the objective of minimizing the computational time. In the preliminary phase of the operation, all network switches are in a closed state, and it is proposed that a subsequent switch opening methodology be employed to achieve a configuration that approximates optimal radial char
BACKGROUND/OBJECTIVES: Given the risk of a progression, or an undiagnosed endometrial cancer (EC), the treatment of choice is hysterectomy in women with endometrial intraepithelial neoplasia (EIN). The risk of metastatic disease and whether sentinel node (SLN) biopsy should be performed remains unclear. The primary aim of this prospective study was to determine the overall incidence of concurrent
Industrial Control Systems (ICS) have been compromised by cyber-attacks with the development of computer and network technologies over the past few decades. Intrusion Detection Systems (IDSs) play a significant role in ensuring information security, and the key mechanism is to identify various attacks in the network accurately. One common strategy when implementing an IDS is to use a machine-learn
The present study evaluates two different screening tools–the Ability to Quickly See Quantities (AQSQ) test and the Number Sense Test (NST) targeting subitising and part-whole relationships, respectively–to examine their potential to indicate early numeracy challenges. Seventy-four kindergarten students participated, and their performances on the two tests were analyzed using correlational analyse
While circular economy (CE) discourse emphasises technology-driven solutions and formal systems, cities in the Global South rely on grassroots waste workers (WWs) in the informal sector, who perform essential circular functions through waste collection, sorting, and recycling. In Delhi, informal WWs contribute substantially to material recovery and fill gaps left by formal solid waste management (
The escalating energy consumption of existing artificial intelligence hardware has become a serious global issue that demands immediate action. Neuromorphic computing offers promises to drastically reduce this footprint. Here, we introduce multicomponent p-type Hf(Sr,Ti)O2 thin films for energy-efficient, resistive switching–based neuromorphic devices. We demonstrate interfacial memristors with ul
Co-pathology is a common feature of neurodegenerative diseases that complicates diagnosis, treatment and clinical management. However, sensitive, specific and scalable biomarkers for in vivo pathological diagnosis are not available for most neurodegenerative neuropathologies. Here we present Proteomics-based Artificial Intelligence for Dementia Diagnosis (ProtAIDe-Dx), a deep joint-learning model
Scholars have shown that lifestyle change is pivotal for any effective climate-mitigation scenario. But what lifestyle changes are needed and how can they be enabled and mainstreamed? This is the question pursued by the EU 1.5° Lifestyles project, the results of which the article summarizes and synthesizes. The project integrated quantitative and qualitative methods, ranging from input-output anal
This paper sets out to extend the epistemic semantics presented in Dahl (2023) tomodal and conditional logics. To do so, I extend the notion of belief expansion sys-tems, inspired by the AGM-model of belief change, to include belief revision, anduse the resulting structures as models for both conditional and modal logic. In thefirst case, this applies the well-known approach to conditionals initia
Promoting Inclusion and Justice in University Teaching offers a theoretical and practical contribution to ongoing debates concerning why and how we need to expand the goals of education in an increasingly diverse academia to enhance inclusivity and equity. It integrates a wide range of well-designed teaching activities grounded in the principles of transformative pedagogy into university settings
