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Digital Competencies, Disaster Risk Reduction, and Education : An Introduction to the Digital Competency Framework to Develop Digital Pedagogical Competencies of Educators in Disaster Risk Reduction.

The COVID-19 pandemic was a novel biological hazard that emerged in 2019 and significantly impacted various sectors of society. While sectors such as the economy and health were severely affected, the education sector was no stranger to the grave impact of the pandemic. While the pandemic called for regulations such as lockdowns and social distancing, the education sector was required to shift the

Rethinking intelligent behaviour through the lens of accurate prediction : Adaptive control in uncertain environments

While recent cognitive science research shows a renewed interest in understanding intelligence, there is still little consensus on what constitutes intelligent behaviour and how it should be assessed. Here we propose a refined approach to biological intelligence as accurate prediction, according to which intelligent behaviour should be understood as adaptive control driven by the minimisation of u

Decipherment of Historical Manuscripts with Unknown or Rare Writings : The DESCRYPT Project

We present a newly funded research program, DESCRYPT, aimed at deciphering and analyzing historical texts with rare or unknown scripts. The project leverages advancements in computational linguistics, artificial intelligence (AI), and image processing, alongside traditional philological methods, to develop innovative tools for transcription, recognition, and interpretation of historical writings w

Clinicopathologic and molecular study of superficial CD34-positive fibroblastic tumours mimicking atypical fibrous histiocytoma (dermatofibroma)

Aims: Superficial CD34-positive fibroblastic tumour (SCD34FT) is an uncommon but distinctive low-grade neoplasm of the skin and subcutis that shows frequent CADM3 expression by immunohistochemistry (IHC). In this study, prompted by an index case resembling ‘atypical fibrous histiocytoma (FH)’ that was positive for CADM3 IHC, we systematically examined a cohort of tumours previously diagnosed as ‘a

Peer Social Genetic Effects and the Etiology of Substance Use Disorders, Major Depression, and Anxiety Disorder in a Swedish National Sample

OBJECTIVE: There is growing interest in how peers' genotypes may influence health (i.e., peer social genetic effects). The authors sought to clarify the nature of peer social genetic effects on risk for drug use disorder, alcohol use disorder (AUD), major depression, and anxiety disorder. METHOD: Cox models were used with data from a population-based Swedish cohort (N=655,327). Outcomes were drug

Posture and Comfort Analysis of Car Drivers

In the EC project, ANNIE (Application of Neural Networks to Integrated Ergonomics) the aim is to develop a human simulation and ergonomic evaluation tool based on a neural network. Recorded movement patterns from subjects, performing tasks in real environments, will train the network. The net will control a mannequin, to perform human-like movements. The human model will be placed in different vir

Enhancing Multisensory Environments with Design Artifacts for Tangible Interaction

Even though multisensory environments (MSE) incorporate artifacts and technology to provide sensory stimuli, most of these artifacts are non-interactive. Twenty-four children with profound developmental disabilities from three MSE institutions have been involved in a research study. A handful of interactive design artifacts, which have been developed as a tool for ideation and to enhance the use o

Using brain imaging to measure emotional response to product appearance

Brain imaging systems are a set of techniques that allow visualizing the regions of the brain that are activated when (emotional) stimuli are presented. Their advantage over traditional methods of measuring emotion, like self-reports is that they leave out response biases. This paper presents what brain imaging measurement can do for emotional design. It also reviews the brain imaging studies that

Friction and Damage Accumulation, Formation, Morphology and Transport of Dust from Fibre Handling

The mechanical stress build up in fibre handling, the dynamical frictional phenomena between fibres and curves surfaces and formation of dust have been studied. Typical are stick slip behaviour and threshold stress levels for formation of dust. The emissions of dust can be limited by electrostatic charging. The measured coefficients of friction of the fibres depend on the mechanical properties, mi

An adaptive mixed-signal narrowband interference canceller for wireline transmission systems

Narrowband radio transmitters like radio amateurs and broadcast radio stations are considered to be a serious problem for high-bitrate data transmission over twisted pairs. Due to its high power level, radio frequency interference (RFI) has the potential of overloading the receiver's analog-to-digital converter (ADC). Once the ADC is in saturation, any countermeasure taken in the digital domain wi

Exploring emotions for design of your future chair

The User Compass Chart (UCC) was used for eliciting middle-age subjects’ experiences of 33 photo-represented easy chairs, including consumer products and chairs designed for nursing-homes as well as institutions in general. The chairs were represented in black and white photos measuring 50 x 50 mm. The vectors used in the chart were most inviting - most repellent and most homelike- most nursing-ho

Affective Profiles, Ethnic Identity, and Life Satisfaction in Iran

Background: The affective profiles model has been used in several studies investigating individual differences in, for example, well-being and ill-being. The model categorizes individuals in four profiles based on the balance of high/low positive/negative affect: (1) self-fulfilling (high positive affect, low negative affect); (2) high affective (high positive affect, high negative affect); (3) lo

Staging, Accommodating or Caring : Reviewing the Human Labor Involved in Shaping Robots into Agents

This review examines the hidden and invisible labor humans perform to enable robots to function as agents within Human-Robot Interaction (HRI). While robot agency is often framed as internal and autonomous, this perspective overlooks the relational dynamics that sustain robot functionality in real-world settings. Drawing on feminist theory, the review highlights how humans frequently share the res

A New IL-6-Inducing Mechanism in Cancer with New Therapeutic Possibilities

Background: Interleukin-6 is dysregulated in multiple pathological conditions, e.g., cancer and inflammatory diseases. Aim: To investigate new mechanisms for the regulation of pathological IL-6 production. Methods: PBMCs (peripheral blood mononuclear cells) stimulated by cancer serum factors or specific peptides produce interleukin-6 (IL-6). Immunoregulatory albumin neo-structures and peptides wer

Antimicrobial resistance in the Nordics : mapping existing surveillance systems and assessing the impact of COVID-19 using regression models

Background: Coronavirus disease 2019 (COVID-19) pandemic constituted the largest global health crisis in recent generations. It may also have disrupted the pattern of antimicrobial use (AMU) and subsequently affected the development of antimicrobial resistance (AMR) – a grave human health concern. This study aimed to give an overview of existing AMR surveillance systems and evaluate the impact of