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The study provides a new assessment of the water balance components of the catchment (evapotranspiration, surface and lateral flow etc., and its spatial distribution and temporal variability) for the transboundary catchment of Western Dvina river within the poorly gaged Russian part of the catchment. The study focuses on modeling the inland flow generation processes using open source data and the

Gambling disorder can be treated with cognitive behavioral therapy (CBT), but treatment is under-dimensioned in many settings. For example, in Sweden, a setting with mixed responsibility for addiction treatment between health care and social services, treatment for gambling disorder has only recently been introduced in the responsibilities of public institutions. After the introduction of gambling

We present a unique comparative analysis, and evaluation of vision, radio, and audio based localization algorithms. We create the first baseline for the aforementioned sensors using the recently published Lund University Vision, Radio, and Audio (LuViRA) dataset, where all the sensors are synchronized and measured in the same environment. Some of the challenges of using each specific sensor for in

At COP27, Parties agreed to establish a fund for loss and damage. During the COP28 opening plenary, the Loss and Damage Fund was operationalised. Despite this progress, significant questions about access to funding remain unanswered. We engage with a key term in the decision texts–particularly vulnerable. How Parties frame and define the term ‘particularly vulnerable’ will influence funding alloca

Little is known about the aetiology of thymoma. This study aims to identify medical risk factors for thymoma as a systematic approach to new hypotheses on the aetiology of this disease. A European multi-centre case–control study was conducted from 1995 to 1997, including incident cases aged 35–69 years with thymoma. Altogether, we accepted 85 cases and 3350 controls, of which we interviewed 77 cas

Parametric design systems serve as powerful assistive tools in the design process by providing a flexible approach for the generation of a vast number of design alternatives. However, contemporary parametric design systems focus primarily on low-level engineering and structural forms, without an explicit means to also take into account high-level, cognitively motivated people-centred design goals.

Automated cryptanalysis has seen a lot of attraction and success in the past decade, leading to new distinguishers or key-recovery attacks against various ciphers. We argue that the improved efficiency and usability of these new tools have been undervalued, especially for design processes. In this article, we break for the first time the classical iterative design paradigm for symmetric-key primit

Metachromatic leukodystrophy (MLD) is a fatal, progressive neurodegenerative disorder caused by biallelic pathogenic mutations in the ARSA (Arylsulfatase A) gene. With the advent of presymptomatic diagnosis and the availability of therapies with a narrow window for intervention, it is critical to define a standardized approach to diagnosis, presymptomatic monitoring, and clinical care. To meet the

This paper highlights the lives of Japanese and Korean subjects of Imperial Japan who were involved in opium production and circulation in Manchukuo. It discusses the dynamics, practices, and experiences of opium production and circulation. This paper provides a new reading of the diverse beneficiaries on the ground and of the opium industry in Manchukuo from the angles of production and circulati

Synaptic dysfunction and degeneration is likely the key pathophysiology for the progression of cognitive decline in various dementia disorders. Synaptic status can be monitored by measuring synaptic proteins in CSF. In this study, both known and new synaptic proteins were investigated and compared as potential biomarkers of synaptic dysfunction, particularly in the context of Alzheimer's disease (

Purpose: This article proposes diffractive vignettes as a new analytical approach that can sensitize organizational communication research to extra/linguistic forces in the communicative constitution of major societal challenges such as the climate crisis. The critical feminist concept of diffraction examines how diverse forces interact, interfere, and produce new patterns of meaning and differenc

Background: While shared decision making is a cornerstone of orthopedic care, orthopedic surgeons face challenges in tailoring their advice and expectation management to individual shoulder arthroplasty patients due to the lack of systematically summarized evidence-based knowledge. This systematic review aims to provide an overview of current knowledge on independent predictive effects of patient-

Diamine oxidase (DAO) is an enzyme involved in the regulation of cell proliferation and the immune response. This enzyme performs oxidative deamination in the catabolism of biogenic amines, including, among others, histamine, putrescine, spermidine, and spermine. The mechanistic details underlying the reductive half-reaction of the DAO-catalyzed oxidative deamination which leads to the reduced enz

The epoxide hydrolase StEH1 catalyzes the hydrolysis of trans-methylstyrene oxide to 1-phenyl-propane-1,2-diol. The (S,S)-epoxide is exclusively transformed into the (1R,2S)-diol, while hydrolysis of the (R,R)-epoxide results in a mixture of product enantiomers. In order to understand the differences in the stereoconfigurations of the products, the reactions were studied kinetically during both th

One of the best systems for exploring the origin of enzyme catalysis has been the reaction of ketosteroid isomerase (KSI). Studies of the binding of phenolates to KSI have been taken as proof that the electrostatic preorganization effect only makes a minor contribution to the binding of the real, multiring, transition state (TS). However, our simulation study has determined that the difference bet

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