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Learning covariate relations in disease progression models using symbolic neural networks

Covariate modeling provides individual predictions of outcomes by disease progression models. Current methodology for mapping covariates onto model parameters is limited by predefined parametric functions which can result in inadequate covariate selection and biased predictions by the final model. Furthermore, present methodology scales poorly to high-dimensional data due to combinatorial limitati

Search for vector-like leptons coupling to first- and second-generation Standard Model leptons in pp collisions at s = 13 TeV with the ATLAS detector

A search for pair production of vector-like leptons coupling to first- and second-generation Standard Model leptons is presented. The search is based on a dataset of proton-proton collisions at s = 13 TeV recorded with the ATLAS detector during Run 2 of the Large Hadron Collider, corresponding to an integrated luminosity of 140 fb−1. Events are categorised depending on the flavour and multiplicity

Test of lepton flavour universality in W-boson decays into electrons and τ-leptons using pp collisions at s = 13 TeV with the ATLAS detector

A measurement of the ratio of the branching fractions, Rτ/e = B(W → τν)/B(W → eν), is performed using a sample of W bosons originating from top-quark decays to final states containing τ-leptons or electrons. This measurement uses pp collisions at s = 13 TeV, collected by the ATLAS experiment at the Large Hadron Collider during Run 2, corresponding to an integrated luminosity of 140 fb−1. The W → τ

Influence of gender bias in academia : a small experimental study on implicit association

Abstract: Gender inequality is to some extent depending on subconscious gender bias, that is, automatic associations that might mis-favour women in academia. The extent to which gender bias in relation to career choices is present in the population has been investigated during many years in an American-based web project but have not yet been investigated among teachers at LTH. In this study, we le

Environmental reconstruction of the younger loess sequences of the Petrovaradin Fortress Palaeolithic site (Novi Sad, Serbia)

Three phases of archaeological investigations have been conducted in the area of the City Museum of Novi Sad at the Petrovaradin Fortress. In this study, we summarize the results of geoarchaeological research carried out during the third phase of excavations inside the museum building. The investigated area covered 27 m2. The approximately 0.60 m thick loessic sequence offers a unique opportunity

Ecology and social energetics : The Podolynsky-Vernadsky connection

In 1880 Serhiy A. Podolynsky (1850–1891) described the human economy as a metabolic flow of energy and was later praised for it by ecologist Vladimir Vernadsky, whereas his work encountered strong criticism by Friedrich Engels. However, the notes taken by Karl Marx were rather neutral in tone. In this article, we use primary sources in Ukrainian and Russian, including Vernadsky’s diaries and corre

Vibration reduction in cross-laminated timber panels using various lamination materials and integrated elastomer layers

Cross-laminated timber (CLT) is increasingly used for construction of multi-storey buildings. However, ensuring satisfactory vibro-acoustic performance, particularly in the low-frequency range (typically below 200 Hz), remains a significant challenge, often necessitating add-on solutions such as floating floors. In this study, the aim was to investigate how vibration levels for CLT panels can be r

From fractions to fragments : Policy to practice through AI-driven multiscale spatial planning for groundwater nitrate management

Diffuse nitrate pollution remains a persistent threat to drinking-water resources, yet current predictive frameworks rarely capture how the spatial composition (land-cover fractions) and configuration (landscape fragmentation) of land systems jointly modulate leaching. This study presents a novel multiscale framework integrating hydro-climatic, soil and anthropogenic predictors with land-cover fra

When words paint fainter pictures: L2 usage and the vividness of mental imagery

Mental imagery allows us to simulate events and experiences and plays a crucial role in language comprehension. Vividness, defined as the subjective richness and clarity of these simulations, varies across individuals and contexts. Whether mental imagery vividness decreases when processing in a non-native (L2) compared to a native (L1) language remains debated (Montero-Melis et al., 2020). Reducti

TNFα prevents FGF4-mediated rescue of astrocyte dysfunction and reactivity in human ALS models

Astrocytes play a crucial role in the onset and progression of amyotrophic lateral sclerosis (ALS), a fatal disorder marked by the degeneration of motor neurons (MNs) in the central nervous system. Although astrocytes in ALS are known to be toxic to MNs, the pathological changes leading to their neurotoxic phenotype remain poorly understood. In this study, we generated human astrocytes from induce

Rapid prediction of soil hydraulic and physicochemical properties using the Nix Pro color sensor

Color is the most obvious and easily determined soil property that can provide crucial information about soil composition. The NIX™ Pro color sensor (Nix) presents a user-friendly alternative to the traditional Munsell manual method, with reduced sensitivity to environmental and human factors. Therefore, a new method was developed to use Nix in combination with machine learning to quickly and affo

Decoding Memory from Empty Space: Neural Reactivation During Gaze Reinstatement

Research on episodic memory shows that people often direct their gaze toward locations where goal-relevant information was originally encoded, even in the absence of visual input. This “looking-at-nothing” (LAN) behavior has been demonstrated to strengthen maintenance of visuospatial configurations (Olsen et al., 2014; Wynn et al., 2018), enhance the accuracy and fidelity of episodic recall (Johan

Measurement of the inclusive isolated-photon production cross section in pp and Pb–Pb collisions at sNN=5.02 TeV

The ALICE Collaboration at the CERN LHC has measured the inclusive production cross section of isolated photons at midrapidity as a function of the photon transverse momentum (pTγ), in Pb–Pb collisions in different centrality intervals, and in pp collisions, at centre-of-momentum energy per nucleon pair of sNN=5.02 TeV. The photon transverse momentum range is between 10–14 and 40–140 GeV/c, depend