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Trots att exponering- och responsprevention (ERP) är en effektiv behandling för patienter med tvångssyndrom (eng: obsessive-compulsive disorder; OCD), blir inte alla hjälpta. Medan många författare har intresserat sig för demografiska och kliniska faktorers betydelse för behandlingsutfall, är det få studier som har undersökt hur processer som uppstår under behandling (t.ex. förändring i motivationExposure and response prevention (ERP) is an effective treatment for obsessive-compulsive disorder (OCD), but not everyone benefits. While many authors have explored the contribution of demographic and clinical factors in relation to treatment outcome, few studies have investigated how processes that occur during the course of treatment (e.g., changes in motivation) relate to treatment outcome. Th

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

Properties of characteristic modes of lossless scatterers breaking time-reversal symmetry are presented utilizing the scattering formulation of characteristic decomposition. Antennas connected to nonreciprocal circuits and moving material bodies are used as numerical examples.

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

INTRODUCTION: The FEV1 quotient (FEV1Q), calculated as the index between FEV1 and a theoretical lower survivable FEV1 threshold of 0.4L for females and 0.5L for males, has been investigated as a novel method of interpreting results from lung function testing. The applicability of the FEV1Q in populations with chronic respiratory failure has not been studied, and the continuous association between

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

Purpose: A multimodal artificial intelligence (MMAI) biomarker was developed using clinical trial data from North American men with localized prostate cancer treated with definitive radiation, using biopsy digital pathology images and key clinical information (age, PSA, and T-stage) to generate prognostic scores. This study externally validates the biomarker in a prospective, real-world dataset of

Ending conflict and generating peace is an undertaking challenged by many threats. This essay deals with one of those, spoiling, i.e. actions that aim to destroy peace processes. The spoiling concept is a young phenomenon in political science. The author argues that the concept nonetheless carries a number of flaws. Those are the concept's definitional vagueness, normative underpinnings, a

Popular Abstract in Swedish Var efterlystes brottslingar förr? I kyrkan! Var fick man reda på att äkta män övergivit sina hustrur? I kyrkan! Hur annonserades kommande auktioner? I kyrkan! Var tillkännagavs nya lagar och förordningar? Hur fick människor besked om var viktiga möten skulle äga rum? Hur visste man att landet var i krig och vad som hände under kriser av olika slag? Naturligtvis var detAs from 1686 it was decreed by law that all government regulations, orders, edicts and other information any government official wanted to make public, had to be read out to the people by the clergy from the pulpits of all churches in Sweden and Finland at the end of the sermon. The system of communication remained in full force until the end of the 19th century and was not finally abandoned until

The number of cancer survivors continues to increase worldwide. Many of these survivors have had children of their own. It is less well-known whether radiation therapy or chemotherapy could affect the risk of stillbirth and neonatal death for these children. To explore this research questions, we identified all women diagnosed with cancer between 1958 and 2012 from the Swedish Cancer Register and

Sweden is the only Scandinavian country that uses closed treatment institutions based on coercive measures within the child welfare system, on a large scale, for the education and treatment of young criminal offenders and drug users. In Sweden there are in 2002 some 30 “homes for specialized supervision” of varying sizes and degrees of specialization – all run by a national board of institutional

Non-linear transceivers and non-reciprocity of downlink and uplink channels are two major challenges in the deployment of massive multiple-input-multiple-output (MIMO) systems. We consider an over-the-air (OTA) approach for digital pre-distortion (DPD) and reciprocity calibration to jointly address these issues. In particular, we consider a memory-less non-linearity model for the base station (BS)

Despite extensive research on Quality-of-Services (QoS) analysis of 5G networks, practical applications remain limited. This gap may be attributed to the lack of available tools and the complexity of developing or configuring technical systems to implement theoretical approaches. To address this, we developed an edge control system within a private 5G base station, utilizing Precision Time Protoco

We explore vibe coding as a rapid prototyping approach powered by generative AI. We discuss how it lowers the barrier to creating high-fidelity prototypes, enabling nontechnical users to build apps, and examine its implications for communication, validation, and iterative software design.

Federated Learning (FL) enables decentralized training of neural networks across multiple hospitals or patients while preserving data privacy. However, FL schemes typically assume data is independent and identically distributed (IID) while healthcare data can be highly heterogeneous. To address this, we propose Interpretable Personalized Federated Learning (IPFL), a novel framework that allows pat

The use of large language models (LLMs) is being explored for a multitude of tasks in software engineering (SE), ranging from code generation to bug report assignment. Although LLMs provide impressive results, they require more time and energy than some other machine learning models. For some tasks, simpler models may be more sustainable than LLMs. In this paper, we construct natural language clas

Accurate global estimates of accumulation-mode particle number concentrations (N100) are essential for understanding aerosol–cloud interactions and their climate effects and for improving Earth system models. However, traditional methods relying on sparse in situ measurements lack comprehensive coverage, and indirect satellite retrievals have limited sensitivity in the relevant size range. To over