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Accurate prediction of spatial yield variations within individual fields is crucial for precision agriculture, as it enables optimized resource allocation and targeted crop management. In this study, we propose a novel framework that leverages remote sensing data and Graph Attention Networks (GATv2) to predict fine-scale yield variations for winter wheat at a high resolution (10 m × 10 m). The obj
The curve number (CN) method, developed by the Natural Resources Conservation Service (NRCS), is one of the most widely used approaches worldwide to estimate runoff from rainfall events. However, one of the remaining uncertainties in the method remains whether to apply a frequency-matched or natural data approach for computing the CN from rainfall-runoff data. To address this knowledge gap, this s
The mobilization of water has been key for the reconfiguration and modernization of the Spanish state. During the Francoist dictatorship (1939–1975), the hydro-social reengineering of Spain was central to Franco's political mission but failed to provide for subnational, regionalist aspirations which subsequently pursued their own agendas for water development. In this paper we examine the (failed)
Amyloid-β (Aβ) positron emission tomography (PET) imaging and cerebrospinal fluid (CSF) biomarkers are now established tools in the diagnostic workup of patients with Alzheimer's disease (AD), and their use is anticipated to increase with the introduction of new disease-modifying therapies. Although these biomarkers are comparable alternatives in research settings to determine Aβ status, biomarker
Microplastics are increasingly recognized as a pervasive pollutant in both aquatic and terrestrial environments, raising pressing concerns about their ecological impacts and implications for human health. Traditional detection and quantification methods—including manual microscopy and standalone spectroscopic techniques—offer reliable accuracy but are limited by labor-intensive procedures and low
A growing environmental issue today is the amount plastic pollution in the ocean. To investigate how it might affect marine life, an important aspect is to study how plastics are transported by ocean currents and where it ends up. This can be done by use of Lagrangian simulation of plastic particles in computer ocean models. To improve the quality of the output from such simulations the number of
This paper examines the emergence of gender-neutral clothing, particularly during the period of 2015-2016 when there was a notable increase in interest surrounding the concepts of gender-neutrality and androgyny in fashion. The objective of this paper is to contribute new research to the field, as there is a lack of specific studies on gender-neutral clothing. To achieve this, the paper conducts i
A common approach to treat respiratory diseases is with adhesive powder mixtures. These are dispersed into an aerosol upon inhalation. It has been found that the performance of such mixtures can be improved by adding fine particle lactose, but exactly why is yet to be established. Several theories have been proposed by previous studies, but the fundamental mechanism is still unknown. This study w
Automation with the use of robotics is a crucial trend across industries, enhancing efficiency and quality while improving health and safety conditions by minimizing human exposure to hazardous tasks. Alfa Laval, a global provider of products within heat transfer, separation, and fluid handling, is embracing this trend by exploring how to solve labor-intensive processes like the production of rubb
Neuroblastoma (NB) is a heterogeneous childhood cancer, characterized by the amplification of the MYCN oncogene in 40% of the high-risk cases. Our previous work demonstrated that MYCN drives metabolic reprogramming in NB, including upregulation of antioxidant enzymes. Here, we identify peroxiredoxin 6 (PRDX6) as a promising therapeutic target in NB. Pharmacological inhibition of PRDX6 reduces MYCN
Motivation Efforts to address health disparities are often limited by the lack of robust computational tools for inferring genetic ancestry by calculating an individual's genetic similarity to continental groups. We have already shown that a preferred alternative to self-described race is using ancestry-informative markers (AIMs) that can be classified into ancestral components and used to estimat
Purpose: Developmental language disorder (DLD) has known consequences on academic performance, and adaptations to teaching methods and material are often required to counteract negative outcomes. This study used first-hand reports from students with DLD and their caregivers to explore how individual and school-related factors influence academic achievement and provision of educational support. Met
Soma design is intimately entangled with the politics, not only of design itself, but of bodies. We combine perspectives from soma design, political theory, and Sara Ahmed’s work The Cultural Politics of Emotions, to develop five political provocations that reflect on the politics of soma design and the possibilities and frictions therein. Inspired by soma design’s roots in somaesthetic philosophy
The Polarization and Impedance Controlled Car (PICC) presents an innovative approach for demonstrating and teaching key principles of electromagnetic field theory, specifically polarization and impedance. Designed as an interactive learning tool, the PICC utilizes a radio-controlled car, NanoVNA, Raspberry Pi, and handheld antennas to visualize real-time effects of polarization and impedance. The
Epitaxially grown nanowires have shown promise for photovoltaic applications due to their nanophotonic properties. Moreover, the mechanical properties of nanowires can reduce crystallographic defect formation at interfaces to help enable new material combinations for photovoltaics. One material that stands to benefit from the nanowire morphology is zinc phosphide (Zn3P2), which, despite promising
Aims To study the prevalence of masked uncontrolled hypertension (MUCH) in patients recently hospitalized for myocardial infarction, and to develop machine learning-based prediction models identifying MUCH. Methods and results Ambulatory blood pressure measurement (ABPM) was performed in 99 patients following hospitalization for a myocardial infarction. Sixty-two clinical variables were eligible f
Memory decline is a central cognitive symptom in Parkinson’s Disease (PD). While task-fMRI studies link hippocampal activity (AHA) to poorer memory and olfactory performance, this relationship during rest remains understudied. The objectives of this study are to examine differences in resting-state hippocampal networks, explore the occurrence of reduced AHA within these networks, and investigate i
High-precision lifetime measurements have been performed in superdeformed (SD) bands of 151,152Dy and 151Tb with the Doppler-shift attenuation method. Differences found in the quadrupole moments Q0 of the yrast SD bands are understood in terms of shape polarization effects by the high-N intruder orbitals. Q0 moments are also presented for three excited SD bands in 151Dy. Recent calculations can ac
The establishment of innovation ecosystems has become an increasingly prevalent strategy for fostering territorial, economic and social development. However, the existing literature provides limited insights into the strategic conditions that enable the emergence of such ecosystems. This paper addresses this gap by identifying the critical elements and mechanisms underpinning their creation. Speci
