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Rainfall–runoff modeling is a complex hydrological issue that still has room for improvement. This study developed a coupled bidirectional long short-term memory (LSTM) with sequence-to-sequence (Seq2Seq) learning (BiLSTM-Seq2seq) model to simulate multi-step-ahead runoff for flood events. The bidirectional LSTM with Seq2Seq learning (LSTM-Seq2Seq) and multilayer perceptron (MLP) was set as benchm
Improving the energy efficiency and sustainability in the urban sector plays a vital role in the energy transition. Hence, it is important to consider promising ways to design sustainable urban energy hubs linking neighborhoods into energy systems. Improving the efficiency and sustainability of urban energy infrastructure is a process with multiple steps. This chapter presents the workflow that is
Urban form is consisting of several complex parameters which can affect urban microclimate in the energy calculations; most importantly the geometry of buildings, streets andcanopies. This study with a novel design-based approach generates 400 urban forms in the context of a dense urban area to evaluate the air flow and consequently the ventilation potential with the aids of CFD simulations in the
Environmental loads, such as wind and river flow, play an essential role in the structural design and structural assessment of long-span bridges. Climate change and extreme climatic events are threats to the reliability and safety of the transport network. This has led to a growing demand for digital twin models to investigate the resilience of bridges under extreme climate conditions. Kalix bridg
The future buildings and society need to be resilient. This article aims to propose a novel concept of the energy resilience framework and implement a color-based rating system to quantify and rate the energy resilience performance of buildings in Nordic climates. The objective is to conduct a comparative analysis between old (1970s) and new (2020s) single-family buildings integrated with renewabl
Collective intelligence (CI) is a form of distributed intelligence emerging from collaborative problem solving and decision making. It has the advantages of simple communication and less need of data transfer and computationally extensive central decision making systems. This work implements CI in demand side management (DSM) of a hypothetical urban area in Stockholm, created based on the represen
The rapid urbanisation and global need for resources have led to an increased use of the underground, resulting in conflicting interests and an urgent need for subsurface planning. The concept of geosystem services is suggested for communicating the diverse values of the subsurface, and to support subsurface planning for ensuring sustainable and equitable underground developments. The UNDER projec
Following a boom of user-friendly artificial intelligence tools in recent years,AI-enhanced (or manipulated) films have been framed as a serious threat tofilm archives. The purpose of this article is to trace and critically evaluate howAI artists use algorithmic upscaling to modify early cinema, more particularlysurviving films of the film company Swedish Biograph, and how fragments of thiscompanyFollowing a boom of user-friendly artificial intelligence tools in recent years, AI-enhanced (or manipulated) films have been framed as a serious threat to film archives. The purpose of this article is to trace and critically evaluate how AI artists use algorithmic upscaling to modify early cinema, more particularly surviving films of the film company Swedish Biograph, and how fragments of this co
Background: Access to contraception can be a transformational intervention towards advancement of education, health, and freedom of choice. Countries have committed to improving access to contraception enshrined in the sustainable development goals (SDGs), indicator 3.7.1. Our study seeks to investigate the level of inequality in current use of modern contraception and unmet need for contraception
Background: The diagnostic accuracy of colon capsule endoscopy (CCE) depends on a well-cleansed bowel. Evaluating the cleansing quality can be difficult with a substantial interobserver variation. Objectives: Our primary aim was to establish a standard of agreement for bowel cleansing in CCE based on evaluations by expert readers. Then, we aimed to investigate the interobserver agreement on bowel
BackgroundPsoriatic arthritis (PsA) is a chronic arthritis affecting people with psoriasis. If untreated, it may lead to disability. Recommended drugs are non‐steroidal anti‐inflammatory drugs (NSAIDs), corticosteroids, conventional synthetic disease‐modifying anti‐rheumatic drugs (csDMARDs), biologic DMARDs (bDMARDs), and targeted synthetic DMARDs (tsDMARDs). Tumour necrosis factor inhibitors (TN
Body dysmorphic disorder (BDD) typically develops during adolescence, but there has been little research evaluating assessment tools for BDD in youth. This study sought to provide a comprehensive psychometric evaluation of a brief self-report questionnaire of BDD symptoms, the Body Image Questionnaire Child and Adolescent version (BIQ-C), in both clinical and non-clinical adolescent samples. Prope
Group exhibition.Participated with the work: 'Two Minutes To Midnight' The exhibition Poetics of Power aims to reveal certain power manifestations hidden in symbols, gestures and existing unquestioned relations or systems. It asserts the intricate and ambiguous nature of power, omnipresent in shaping interpersonal, cultural, national, and economic dynamics. The exhibition explores the poetic natur
Background: Juvenile idiopathic arthritis (JIA) is a rheumatic disorder that causes chronic joint inflammation beginning before the age of 16 years. Pharmacological treatment necessary to prevent joint destruction and functional impairment includes non-steroidal anti-inflammatory drugs (NSAIDs), intra-articular corticosteroids, conventional synthetic (cs) disease-modifying anti-rheumatic drugs (DM
Background: Pain fluctuations are a characteristic phenomenon in advanced Parkinson's disease (PD), but their temporal association with motor and non-motor symptom (NMS) fluctuations remains largely enigmatic. Moreover, data on their importance for disease severity perception and health-related quality-of-life (hr-QoL) is limited. Objective: To dissect pain fluctuations with respect to pain type a
Infectious diseases are one of the leading causes of mortality in the world. Severe infections can manifest in many ways, creating a heterogeneous clinical and molecular disease landscape that renders these diseases difficult to research, diagnose, and treat. To investigate the molecular mechanisms of infectious disease, we apply mass spectrometry-based proteomics to analyze blood plasma samples f
The development and assessment of bio-based wood adhesives face challenges due to the limitations of conventional test procedures, particularly in predicting adhesive performance in real-world applications. This study investigated the mode I cohesive law of two birch wood-biobased adhesive systems, comparing them with conventional fossil-fuel-based systems. The experimental approach, developed dur
