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Semiconductor double quantum dots (DQD) coupled to superconducting microwave resonators offer a promising platform for the detection of single microwave photons. In previous works, the photodetection was studied for a monochromatic source of microwave photons. Here, we theoretically analyze the photodetection of single microwave pulses. The photodetection in this case can be seen as a nonlinear fi

Industry 4.0 concepts have recently significantly supported transparency and reliability in every industrial sector. Organizations must adapt their traditional paradigms and approaches to align with market demands. Hence, developing a framework that can change these conventional approaches with fresh ideas is essential. The Industry 4.0 (I4.0) readiness model presents a creative concept that holds

Around midnight of 9 January 1959, the Vega de Tera dam broke, releasing nearly 8 million cubic metres of water that destroyed the Spanish town of Ribadelago, killing 144 people. To this day, it remains the worst dam-related failure of the past two centuries of Spanish history. In this chapter we expand the time frame of the disaster, moving from a one-day narrative to focus on the processes of re

BACKGROUND: Achalasia is a rare motility disorder of the esophagus. The diagnosis involves clinical suspicion based on history details and results of high-resolution manometry (HRM) as recommended by the Chicago classification (CCv4.0). Interpreting data obtained through HRM can be complex especially for the novice user.METHODS: We propose therefore a color-based algorithm involving the "reversed

One of the main challenges as the market for fully commercial electrified vehicles quickly expands is predicting the electromagnetic interference (EMI) in traction voltage systems (TVSs) in differential mode (DM) and common mode (CM). The number of subsystems connected to vehicle TVSs is increasing, and thus, so are the electromagnetic compatibility (EMC) requirements. These requirements should ma

Occupancy is one of the primary contributors to the energy performance gap, defined as the difference between actual and predicted energy usage, in buildings. This paper limits its scope to residential buildings, where occupant-centric consumption often goes unaccounted for in standard energy metrics. This paper starts from the hypothesis that a simple occupant energy efficiency label is needed to

Aim of the review: To provide an overview of studies that have published dataregarding region and population size, procedure location, team composition, inclusionand exclusion criteria, outcome parameters, and cost–benefit analyses onextracorporeal membrane oxygenation use for refractory out-of-hospital cardiac arrest.Data sources: A structured systematic literature search of articles published pr

AI cancer detection models require calibration to attain the desired balance between cancer detection rate (CDR) and false positive rate. In this study, we simulate the impact of six types of mismatches between the calibration population and the clinical target population, by creating purposefully non-representative datasets to calibrate AI for clinical settings. Mismatching the acquisition year b

In this paper we show that OpenAI’s Large Language Model (LLM) GPT perform remarkably well when used for title and abstract eligibility screening of scientific articles and within a (systematic) literature review workflow. We evaluated GPT on screening data from a systematic review study on electric vehicle charging infrastructure demand with almost 12,000 records using the same eligibility criter

Naturvetenskap, teknik, ingenjörsvetenskap och matematik, på engelska ofta grupperade under akronymen STEM, är traditionellt mansdominerade områden. Särskilt inom ingenjörsvetenskap och teknologi är kvinnor fortfarande kraftigt underrepresenterade. Bristen på kvinnor inom STEM innebär utmaningar i att möta arbetsmarknadens behov, för produktkvalitet på grund av brist på olika perspektiv i designprScience, technology, engineering and mathematics, often grouped under the acronym STEM, are traditionally male dominated fields. Especially in engineering and technology, women continue to be heavily underrepresented. The lack of women in STEM poses challenges for meeting the labor market demands, for product quality due to a lack of diverse perspectives in the design process, and for gender equal

How we teach is strongly influenced by the culture we teach in, especially what (we believe) our colleagues think is good and acceptable. Understanding the reluctance to changes in teaching practice, including fear of disapproval from colleagues and students, investigating and reappraising those fears, and starting to talk about alternative interpretations is a first step towards overcoming the in

Precise knowledge of the temperature during cutting processes is of high interest as the temperature of a cutting tool dictates the performance, and for the workpiece it controls the quality and integrity of the generated surface. For the first time, in this study, a novel technique has been developed utilizing phosphor thermometry for 2D surface temperature measurement of a cutting tool in metal

BACKGROUND: Low back pain (LBP) is a leading cause of work absence globally. Digital interventions have the potential to increase access to self-management support for individuals with persistent LBP.OBJECTIVE: This study aims to evaluate the feasibility, usability, and acceptability of a digital educational program (MyRelief) designed to support self-management strategies for people with persiste

Introduction: Most cervical cancer cases in Sweden are diagnosed among women who have failed to attend screening. The objective of this study was to analyze the effectiveness of offering vaginal HPV (human papillomavirus) self-samples to long-term non-attendees as a routine in this screening program, in which non-attendees had already been the targets of several interventions. Material and Methods

BACKGROUNDDistinguishing wide complex tachycardia (WCT) as ventricular tachycardia (VT) or supraventricular WCT (SWCT) is critical yet challenging. Manual ECG algorithms require substantial expertise and are inconsistently applied, and contemporary computerized ECG interpretation (CEI) systems often return only a generic “wide complex tachycardia” label. Novel machine learning–based ECG models (So

The recognition of amine groups by ninhydrin, along with a simple mathematical algorithm, showed that di- and tripeptides derived from dietary protein are the major end products of protein digestion entering the blood postprandially. There are thousands of oligopeptides appearing in the gut during protein digestion. However, the presented study on a pig model clearly shows that peptides longer tha

We study the problems of computing the Voronoi diagram and a triangulation of a set of n2 points with O(log⁡n)-bit coordinates in the Euclidean plane in a substantially sublinear in n number of rounds in the congested clique model with n nodes. First, we observe that if the points are uniformly at random distributed in a unit square then their Voronoi diagram within the square can be computed in O

Purpose: The sugar industry is always pressured to be suitable and enhance its operational effectiveness. Digital Twin (DT) has the potential to transform this industry. However, the lack of industry-specific Key Performance Indicator (KPI) frameworks makes it challenging to implement them. This study provides a hierarchical KPI model for DT adoption in the sugar sector, interconnecting the United