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Temporal cluster-based local deep learning or signal processing-temporal convolutional transformer for daily runoff prediction?

Water scarcity poses a major obstacle to sustainable development, and precise discharge prediction plays a vital role in enabling effective water resource management. This study investigated improved prediction techniques for nonstationary time series. The study evaluated the effect of signal processing techniques and blending approaches on the performance of deep learning models for daily dischar

Charge photogeneration dynamics in non-fullerene polymer solar cells with fluorinated and non-fluorinated acceptors

In this work, charge photogeneration and recombination processes of PM6:IDIC-4F and PM6:IDIC blend films were investigated by the steady-state and time-resolved spectroscopies, as well as the time-dependent density functional theory calculations. The peaks in absorption and photoluminescence (PL) spectra of IDIC and IDIC-4F solutions were assigned by combining the experiment and the simulation of

Neutron reflectometry as a powerful tool to elucidate membrane interactions of drug delivery systems

The last couple of decades have seen an explosion of novel colloidal drug delivery systems, which have been demonstrated to increase drug efficacy, reduce side-effects, and provide various other advantages for both small-molecule and biomacromolecular drugs. The interactions of delivery systems with biomembranes are increasingly recognized to play a key role for efficient eradication of pathogens

The ABC-Stroke Risk Score and Effects of Atrial Fibrillation Screening on Stroke Prevention : Results From the Randomized LOOP Study

BACKGROUND: The ABC-stroke score is a risk scheme for prediction of stroke or systemic embolism (SE) in atrial fibrillation (AF). This study sought to examine whether the score could be useful in predicting stroke in AF-naïve individuals and risk stratifying for AF screening. METHODS AND RESULTS: The LOOP (Atrial Fibrillation Detected by Continuous ECG Monitoring Using Implantable Loop Recorder to

Associations between birth weight and adult apolipoproteins : The LifeGene cohort

Background Early life factors may predict cardiovascular disease (CVD), but the pathways are still unclear. There is emerging evidence of an association of early life factors with apolipoproteins, which are linked to CVD. The study objective was to assess the associations between birth variables and adult apolipoproteins (apoA1 and apoB, and their ratio) in a population-based cohort. Methods The L

Assessing the Nepalese health system’s readiness to manage gender-based violence and deliver psychosocial counselling

Violence against women (VAW), particularly intimate partner violence (IPV) or domestic violence, is a major public health issue, garnering more attention globally post-coronavirus disease 2019 (COVID-19) lockdown. Health providers often represent the first point of contact for IPV victims. Thus, health systems and health providers must be equipped to address survivors’ physical, sexual and mental

A 16 × 16 Patch-Based Deep Learning Model for the Early Prognosis of Monkeypox from Skin Color Images

The DNA virus responsible for monkeypox, transmitted from animals to humans, exhibits two distinct genetic lineages in central and eastern Africa. Beyond the zoonotic transmission involving direct contact with the infected animals’ bodily fluids and blood, the spread of monkeypox can also occur through skin lesions and respiratory secretions among humans. Both monkeypox and chickenpox involve skin

Predictors of DAPSA28 remission in patients with psoriatic arthritis initiating a first TNF inhibitor : results from 13 European registries

Objectives: In bio-naïve patients with PsA initiating a TNF inhibitor (TNFi), we aimed to identify baseline predictors of Disease Activity index for PsA in 28 joints (DAPSA28) remission (primary objective) and DAPSA28 moderate response at 6 months, as well as drug retention at 12 months across 13 European registries. Methods: Baseline demographic and clinical characteristics were retrieved and the

Toward designing human intervention studies to prevent osteoarthritis after knee injury : A report from an interdisciplinary OARSI 2023 workshop

Objective: The global impact of osteoarthritis is growing. Currently no disease modifying osteoarthritis drugs/therapies exist, increasing the need for preventative strategies. Knee injuries have a high prevalence, distinct onset, and strong independent association with post-traumatic osteoarthritis (PTOA). Numerous groups are embarking upon research that will culminate in clinical trials to asses

Heavy quark diffusion coefficient during hydrodynamization - non-equilibrium vs. equilibrium

We compute the heavy quark momentum diffusion coefficient using effective kinetic theory for a system going through bottom-up isotropization until approximate hydrodynamization. We find that when comparing the nonthermal diffusion coefficient to the thermal one for the same energy density, the observed deviations throughout the whole evolution are within 30% from the thermal value. For thermal sys

Effectiveness of cork and pine bark powders as biosorbents for potentially toxic elements present in aqueous solution

Cork oak and pine bark, two of the most prolific byproducts of the European forestry sector, were assessed as biosorbents for eliminating potentially toxic elements (PTEs) from water-based solutions. Our research suggests that bioadsorption stands out as a viable and environmental eco-friendly technology, presenting a sustainable method for the extraction of PTEs from polluted water sources. This

A global compilation of diatom silica oxygen isotope records from lake sediment - trends and implications for climate reconstruction

Oxygen isotopes in biogenic silica (δ18OBSi) from lake sediments allow for quantitative reconstruction of past hydroclimate and proxy-model comparison in terrestrial environments. The signals of individual records have been attributed to different factors, such as air temperature (Tair), atmospheric circulation patterns, hydrological changes, and lake evaporation. While every lake has its own loca

Confirmation that Antevsia zeilleri microsporangiate organs associated with latest Triassic Lepidopteris ottonis (Peltaspermales) leaves produced Cycadopites-Monosulcites-Chasmatosporites- and Ricciisporites-type monosulcate pollen

In reply to the commentary by N. Zavialova (Rev. Palaeobot. Palynol. 322, 105,065), we provide additional data and illustrations reaffirming that the Triassic peltaspermalean ‘seed-fern’ Lepidopteris ottonis produced the abnormal pollen Ricciisporites tuberculatus, solving a long-standing mystery in palaeobotany. The microsporangiate organ Antevsia zeilleri linked to Lepidopteris ottonis foliage p

Forest demography and biomass accumulation rates are associated with transient mean tree size vs. density scaling relations

Linking individual and stand-level dynamics during forest development reveals a scaling relationship between mean tree size and tree density in forest stands, which integrates forest structure and function. However, the nature of this so-called scaling law and its variation across broad spatial scales remain unquantified, and its linkage with forest demographic processes and carbon dynamics remain

White clover pollinators and seed set in relation to local management and landscape context

Bees are declining, which is worrisome since they both have intrinsic conservation value and play a major role as pollinators in both natural and managed ecosystems. Land use change and lack of suitable habitats are often suggested as driving forces of bee decline. To propose mitigation measures to halt bee decline, it is important to understand how land use relates to bee abundance and diversity,

A multi-scale numerical approach to study monoclonal antibodies in solution

Developing efficient and robust computational models is essential to improve our understanding of protein solution behavior. This becomes particularly important to tackle the high-concentration regime. In this context, the main challenge is to put forward coarse-grained descriptions able to reduce the level of detail, while retaining key features and relevant information. In this work, we develop

Co-delivery of rhBMP-2 and zoledronic acid using calcium sulfate/hydroxyapatite carrier as a bioactive bone substitute to enhance and accelerate spinal fusion

Recombinant human bone morphogenetic protein-2 (rhBMP-2) has been FDA-approved for lumbar fusion, but supraphysiologic initial burst release due to suboptimal carrier and late excess bone resorption caused by osteoclast activation have limited its clinical usage. One strategy to mitigate the pro-osteoclast side effect of rhBMP-2 is to give systemic bisphosphonates, but it presents challenges with

Reclaiming Political Rights During a Rule of Law Crisis : The Role of the UN Human Rights Committee

How should democratic states approach and respond to secessionist movements using tactics contrary to the constitution to achieve their goals? What is the role of international human rights mechanisms in these processes? This article sheds light on these questions by examining how the UN Human Rights Committee approached and assessed two complaints that came before it in the wake of the Catalan De

Capturing flexibility gains by price models for district heating

Flexibility can support the energy transition and improve the efficiency of heat supply to buildings. This study tests price models for the inclusion of heat pumps (HPs) in district heating network (DHN). Various price models were tested in two cases in Sweden. In Sweden, DH companies are increasingly confronted with instances where building owners invest in a HP and only use DH when it is too col