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Filtered multimodal re-ranking for e-commerce

This study explores the integration of Large Language Model (LLM) and Information Retrieval (IR) components to enable filtered search over multimodal structured data. We identify core integration challenges and introduce a conceptual framework based on two paradigms: filtered retrieval and filtered re-ranking. With the focus on the latter, we employ RT-3 rank transformation to dynamically adjust t

Ultrasonic cavitation shock wave exfoliation dynamics of 2D materials revealed in situ by MHz XFEL imaging and multiphysics modeling

Using megahertz x-ray free electron laser imaging with x-ray pulses of ~25 femtoseconds and a machine-learning strategy, we have conducted comprehensive in situ imaging studies on the dynamics of cavitation bubble clouds in ultrasound fields at the SPB/SFX beamline of the European XFEL. The research unambiguously revealed the quasi-simultaneous implosion of multiple bubbles and simultaneous collap

Age Differences in AI Usage and Confidence

Examensarbetets titel: Åldersskillnader i användning av AI och självförtroende. Seminariedatum: 15 januari 2026 Ämne/kurs: FEKH38, Examensarbete i Business and Data Analytics, 15 ECTS Författare: Axel Zetterman, Emanuel Evers, William Pagel Handledare: Magnus Johansson Nyckelord: Artificiell intelligens (AI), Organisationer, Åldersskillnader, Förtroende, Dunning-Kruger-effekten. Forskningsfråga: HTitle: Age Differences in AI Usage and Confidence Seminar date: 15 January 2026 Course: FEKH38, Degree Project, Undergraduate level, Business Administration, Undergraduate level, 15 ECTS Authors: Axel Zetterman, Emanuel Evers, William Pagel Advisor: Magnus Johansson Keywords: Artificial intelligence (AI), Organizations, Age differences, Confidence, Dunning-Kruger effect. Research question: How doe

A mechanistic understanding of the varying yields of highly oxygenated organic molecules

Highly oxygenated organic molecules (HOM) play a crucial role in the formation and growth of atmospheric particles, thereby influencing air quality and climate. A comprehensive understanding of HOM formation, particularly an accurate quantification of their yields, is essential to constrain the climate and health impacts of aerosols. Previous studies often reported constant HOM yields as averages,

The influence of metformin treatment on the circulating proteome

Background: Metformin is one of the most used drugs worldwide. Given the increasing use of proteomics in trials, bioresources, and clinics, it is crucial to understand the influence of metformin on the levels of the circulating proteome. Methods: We analysed a combined longitudinal proteomics dataset from the IMPOCT, RAMP and S3WP-T2D clinical trials in 98 participants before and after metformin e

Data-limited Continuous Experimentation (dlCE) : a literature review

Continuous experimentation (CE) is a software development approach where product decisions are data-driven. Large global internet-facing companies such as Microsoft, Google, and Facebook apply the practice by leveraging their massive user bases to obtain high statistical significance in experimentation results. However, companies with smaller user bases, such as small- and medium-sized enterprises

Development of MHz X-ray phase contrast imaging at the European XFEL

We report on recent developments that enable megahertz hard X-ray phase contrast imaging (MHz XPCI) experiments at the Single Particles, Clusters, and Biomolecules and Serial Femtosecond Crystallography (SPB/SFX) instrument of the European XFEL facility (EuXFEL). We describe the technical implementation of the key components, including an MHz fast camera and a modular indirect X-ray microscope sys

Performance of a point-of-care ultrasound platform for artificial intelligence-enabled assessment of pulmonary B-lines

Background: The incorporation of artificial intelligence (AI) into point-of-care ultrasound (POCUS) platforms has rapidly increased. The number of B-lines present on lung ultrasound (LUS) serve as a useful tool for the assessment of pulmonary congestion. Interpretation, however, requires experience and therefore AI automation has been pursued. This study aimed to test the agreement between the AI

M2SKD : Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems

Integrating low-power wearable systems into routine health monitoring is an ongoing challenge. Recent advances in the computation capabilities of wearables make it possible to target complex scenarios by exploiting multiple biosignals and using high-performance algorithms, such as Deep Neural Networks (DNNs). However, there is a tradeoff between the algorithms' performance and the low-power requir

Assertions in software testing : survey, landscape, and trends

Assertions are one of the most useful automated techniques for checking program’s behaviour and hence have been used for different verification and validation tasks. We provide an overview of the last two decades of research involving “assertions” in software testing. Based on a term-based search, we filtered the inclusion of relevant papers and synthesised them with respect to the problem address

Bayesian network imputation methods applied to multi-omics data identify putative causal relationships in a type 2 diabetes dataset containing incomplete data : An IMI DIRECT Study

Here we report the results from exploratory analysis using a Bayesian network approach of data originally derived from a large North European study of type 2 diabetes (T2D) conducted by the IMI DIRECT consortium. 3029 individuals (795 with T2D and 2234 without) within 7 different study centres provided data comprising genotypes, proteins, metabolites, gene expression measurements and many differen

Thermal effects on the dynamics of excitons in CsPb(Br1−xClx)3

The long-standing debate in the scientific community about whether ferroelectricity or ferroelasticity is the key property influencing the optoelectronic behavior of metal halide perovskites continues. In this study, we experimentally investigate the temperature dependence of photoluminescence from CsPb(Br1−xClx)3 nanowires and their heterojunctions. Our findings show an enhancement of the exciton

Visualizing the entire DNA from a chromosome in a single frame

The contiguity and phase of sequence information are intrinsic to obtain complete understanding of the genome and its relationship to phenotype. We report the fabrication and application of a novel nanochannel design that folds megabase lengths of genomic DNA into a systematic back-and-forth meandering path. Such meandering nanochannels enabled us to visualize the complete 5.7 Mbp (1mm) stained DN

Wnt5a is a TLR2/4-ligand that induces tolerance in human myeloid cells

Innate immune responses are rapid, dynamic and highly regulated to avoid overt reactions. This regulation is executed by innate immune tolerance mechanisms that remain obscure. Wnt5a is a signalling protein mainly involved in developmental processes and cancer. The effect of Wnt5a on inflammatory myeloid cells is controversial. Here, we combine primary cell cultures, in vitro binding studies, mass

Assessing response times and force of responses to the size and brightness of visual stimuli.

Together with response time the force of responses to stimuli can provide important clues about cognitive and affective processes. However, while there has been much discussion of factors involved in the accurate measurement of response time (RT), key issues and assumptions in assessment of response force (RF) have been far less studied. Here, hierarchical Bayesian analysis is used to examine the

Molecular serum portraits in patients with primary breast cancer predict the development of distant metastases.

The risk of distant recurrence in breast cancer patients is difficult to assess with current clinical and histopathological parameters, and no validated serum biomarkers currently exist. Using a recently developed recombinant antibody microarray platform containing 135 antibodies against 65 mainly immunoregulatory proteins, we screened 240 sera from 64 patients with primary breast cancer. This uni

Ecology: Save the Baltic Sea.

Abstract in Undetermined Comment: Geoengineering efforts to bring oxygen into the deep Baltic should be abandoned, says Daniel J. Conley