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FuseRank (Demo) : Filtered Vector Search in Multimodal Structured Data

We describe and demonstrate our work on multimodal filtered vector search in tabular data. It offers a practical way for businesses to vectorize their product assortments or any other business-critical data and then simultaneously retrieve and filter this information using state-of-the-art similarity search. Our methodology is based on the extended vector space model, with multiple modalities repr

Towards automated inclusion of autoxidation chemistry in models : from precursors to atmospheric implications

In the last few decades, atmospheric formation of secondary organic aerosols (SOA) has gained increasing attention due to their impact on air quality and climate. However, methods to predict their abundance are mainly empirical and may fail under real atmospheric conditions. In this work, a close-to-mechanistic approach allowing SOA quantification is presented, with a focus on a chain-like chemica

Industry Practices for Challenging Autonomous Driving Systems with Critical Scenarios

Testing autonomous driving systems for safety and reliability is essential, yet complex. A primary challenge is identifying relevant test scenarios, especially the critical ones that may expose hazards or harm to autonomous vehicles and other road users. Although numerous approaches and tools for critical scenario identification are proposed, the industry practices for selection, implementation, a

Autonomous Monitors for Detecting Failures Early and Reporting Interpretable Alerts in Cloud Operations

Detecting failures early in cloud-based software systems is highly significant as it can reduce operational costs, enhance service reliability, and improve user experience. Many existing approaches include anomaly detection in metrics or a blend of metric and log features. However, such approaches tend to be very complex and hardly explainable, and consequently non-trivial for implementation and e

Inter-Organizational Data Sharing Processes - An Exploratory Analysis of Incentives and Challenges

Businesses across different areas of interest are increasingly depending on data, particularly for machine learning (ML) applications. To ensure data provisioning, inter-organizational data sharing is proposed, e.g. in the form of data ecosystems. The aim of this study was to perform an exploratory investigation into the data sharing practices that exist in business-to-business (B2B) and business-

English dictionaries, gold and silver standard corpora for biomedical natural language processing related to SARS-CoV-2 and COVID-19

Here we present a toolbox for natural language processing tasks related to SARS-CoV-2. It comprises English dictionaries of synonyms for SARS-CoV-2 and COVID-19, a silver standard corpus generated with the dictionaries and a gold standard corpus of 10 Pubmed abstracts manually annotated for disease, virus, symptom and protein/gene terms. This toolbox is freely available on github and can be used f

Critical scenario identification for realistic testing of autonomous driving systems

Autonomous driving has become an important research area for road traffic, whereas testing of autonomous driving systems to ensure a safe and reliable operation remains an open challenge. Substantial real-world testing or massive driving data collection does not scale since the potential test scenarios in real-world traffic are infinite, and covering large shares of them in the test is impractical

Complete alignment of a KB-mirror system guided by ptychography

We demonstrate how the individual mirrors of a high-quality Kirkpatrick-Baez (KB) mirror system can be aligned to each other to create an optimally focused beam, through minimizing aberrations in the phase of the ptychographically reconstructed pupil function. Different sources of misalignment and the distinctive phase artifacts they create are presented via experimental results from the alignment

Input in study abroad and views from acquisition : Focus on constructs, operationalization and measurement issues: Introduction to the special issue

This article briefly discusses the notion of input in a study abroad perspective, situating it against how input is treated in second language acquisition (SLA) more broadly, with a focus on methodological issues, operationalizations, and measurements. It further introduces three studies that examine input as studied in ‘the real wild’, and two studies that instead focus on ‘the digital wild’.

Providing evidence for a well-worn stereotype : Italians and Swedes do gesture differently

Across cultures and languages spontaneous speech is often accompanied bygestures. It is a popular belief that people in Italy gesture more than peoplein Northern Europe, such as in Sweden. Despite this general assumption fewstudies empirically investigate cultural differences in gesture frequency andgesture function under similar circumstances. This study compares the spokenand gestural behaviours

A systematic review of ventilation solutions for hospital wards : Addressing cross-infection and patient safety

Despite various preventive interventions, nosocomial cross-infection remains a significant challenge in healthcare facilities worldwide. Consequently, prolonged hospitalization, elevated healthcare costs, and mortality rates are major concerns. Proper ventilation has been identified as one of the possible interventions for reducing the risk of cross-infection between patients and healthcare worker

Experimentation in Software Engineering (2024 edition)

This bookThis book has become the leading source for empirical software engineering research through its earlier editions. It provides an in-depth introduction to experimentation in software engineering. The focus is on the steps to go through to conduct an experiment. It also introduces a structure for selecting a research design and an introduction to systematic literature reviews, surveys, and

A theory of factors affecting continuous experimentation (FACE)

Context: Continuous experimentation (CE) is used by many companies with internet-facing products to improve their business models and software solutions based on user data. Some companies deliberately adopt a systematic experiment-driven approach to software development while some companies use CE in a more ad-hoc fashion. Objective: The goal of this study is to identify factors for success in CE

Learned Trajectory Embedding for Subspace Clustering

Clustering multiple motions from observed point trajectories is a fundamental task in understanding dynamic scenes. Most motion models require multiple tracks to estimate their parameters, hence identifying clusters when multiple motions are observed is a very challenging task. This is even aggravated for high-dimensional motion models. The starting point of our work is that this high-dimensionali

Guiding organizations in the digital era : Tools and metrics for success

This study develops a strategic framework to guide the adoption of Industry 4.0 technologies across various business sectors. Using a mixed-methods approach, the research combines an extensive literature review with empirical investigations, including case studies and surveys with industry practitioners. The framework integrates advanced digital technologies, such as artificial intelligence and im

WILMS’ TUMOUR GENE 1 PROTEIN (WT1) – AN EFFECTOR IN LEUKEMOGENESIS?

Popular Abstract in Swedish SVENSK SAMMANFATTNING (SUMMARY IN SWEDISH) Hematopoes och leukemi Hematopoes är benämningen på den process vari alla blodceller genom hela livet kontinuerligt utvecklas i benmärgen, samt vid bildandet av lymfocyter även i lymfkörtlarna. Varje dygn bildas det ca 1012 nya celler i benmärgen för att ersätta uttjänta blodceller som dör och bryts ned. Ett litet antal stamcelWilms’ tumour gene 1 (WT1) encodes a zinc-finger transcription factor functioning as a key regulator in organ development. WT1 was first identified as a tumour suppressor gene due to its inactivation in Wilms’ tumour cases, a childhood kidney cancer. In adult tissues WT1 expression is restricted to few organs, but various forms of cancers express high WT1 levels, suggesting an oncogenic potential

Viral vector-mediated overexpression of α-synuclein as a progressive model of Parkinson's disease

The discovery of the role of α-synuclein in the pathogenesis of Parkinson's disease (PD) has opened new possibilities for the development of more authentic models of Parkinson's disease. Recombinant adeno-associated virus (AAV) and lentivirus (LV) vectors are efficient tools for expression of genes locally in subsets of neurons in the brain and can be used to express human wild-type or mutated α-s

Quantifying the Family Frailty Effect in Infant and Child Mortality by Using Median Hazard Ratio (MHR)

Most microlevel studies in the social sciences have focused on the impact of different measured variables. While some studies have also dealt with unobserved variation, it has usually only been controlled for to perfect the estimates of the observables. In this article, the authors applied a modified version of a recently developed method designed to quantify the effect of unobserved variation in