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Motivation Machine learning offers a powerful approach for building predictive models from high-dimensional molecular data. Omics technologies such as transcriptomics, proteomics, and metabolomics quantify thousands of molecules simultaneously, providing deep insights into disease biology. Integrating multiple modalities can enhance predictive performance, as shown in histology-omics and holter-om
Epilepsy affects more than 50 million individuals worldwide, and approximately one-third of patients remain refractory to existing antiseizure medications. Advances in gene therapy and genome editing have opened new possibilities for disease-modifying interventions that directly target the molecular and circuit-level mechanisms underlying epileptogenesis. Recent progress in central nervous system
Integrating multi-modal patient data to support personalized medicine has gained a lot of interest across different health domains over the past decade. Addressing this challenge requires the development and implementation of an informed, evidence-based AI-driven decision-support system continuously maintained and updated to align with the latest clinical guidelines. A key challenge to ensure its
Electrifying heavy-duty vehicles at large sites requires charging infrastructure designs that balance cost and robustness. This article quantitatively compares six different charging infrastructures, spanning centralized vs. decentralized layouts and AC vs. DC distribution through a case study of a 50-charger site (≈15 MW total). Capital costs (cables, converters, transformers) are modeled, and e
Public procurement has the potential to serve as a strategic driver for circular economy implementation and urban sustainability transitions. Purpose: This study explores how municipalities incorporate circular requirements into construction project procurement processes. The aim is to identify practical strategies that support circular implementation in construction projects. Methodology: U
Modern battery chargers require AC-DC converters with high input power quality, nearly unity power factor, and low current harmonics to meet grid standards such as IEC 61000-3-2. This paper proposes a two-stage charger topology: a front-end bridgeless interleaved boost PFC converter followed by a synchronous buck DC-DC stage. The interleaved boost stage reduces input current ripple and losses whil
The neoliberal turn in the cultural and creative industries has led to two distinct bodies of work. Global North scholars focus on the tension between the emphasis on the creative industries as an engine of growth and the unequal access to the means of cultural production and consumption that neoliberalism presents. Global South scholars face a different reality; the increasing inability of govern
Many cities in the Global South are facing challenges as they increasingly experience extreme weather events, which disproportionately affect the urban poor. Focussing on severe heat and surface water flooding, this paper explores how these extreme weather events impact on infrastructure provision and livelihoods in low-income urban communities in Ghana. Climate series, including temperature data
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 (
