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This study presents a novel approach for the prediction of daily pan evaporation (Evp) based on identifying an optimal combination of model inputs. The Kardeh Dam catchment area in northeastern Iran, where significant evaporation occurs, was investigated in this study. Initially, an appropriate combination of inputs was identified through the gamma test and genetic algorithm (GTGA). Using the ense
"Jag har ombetts förmedla de synpunkter jag presenterade som ledamot av betygsnämnden vid Sameh Egyptsons disputation vid Centrum för Teologi och Religionsvetenskap (CTR), Lunds universitet, den 10 februari 2023. Det är inte brukligt att göra så. En disputation är och skall vara en offentlig och transparent process – men inte bedrivas via medierna. Det är heller inte syftet här. Disputationen är g
The governance of agricultural resources, particularly seeds, has long been a site of contestation between corporate-aligned institutions promoting proprietary seed laws and smallholder farmers, civil society organisations, and food sovereignty advocates defending traditional seed systems and local control. In Ghana, the introduction and eventual passage of the Plant Variety Protection Act of 2020
Population growth and climate change have accelerated groundwater depletion globally. Interferometric synthetic aperture radar (InSAR) is a fairly new satellite remote sensing technique based on SAR images that offers a high-accuracy monitoring system of land surface motion driven by groundwater level changes in time and space that can never be achieved with point-in-situ measurements. In producti
The development of high-energy density solid-state batteries is critical for the achievement of carbon neutrality goals and the advancement of clean energy. Still, the fundamental understanding of lithium transport mechanisms and degradation processes remains limited. Current characterisation methods face significant challenges in studying these complex systems, particularly due to the difficulty
In the pursuit of CO₂-neutral renewable energy solutions, biofuels have emerged as one of the key strategies. However, biodiesel production generates a surplus of crude glycerol (GL), creating a need for efficient valorization pathways. The conversion of GL into value-added chemicals represents a sustainable approach to address this issue. Metal nanoclusters (NCats) embedded within metal-organic f
BACKGROUND: Most COVID-19-related deaths and hospitalisations occurred among older people. Natural outdoor environments influence health outcomes, but the evidence of their effect on COVID-19 outcomes among older adults is limited. This study aimed to investigate associations between residential natural outdoor environment and COVID-19-related deaths or hospitalisations among community dwellers ag
Methane dry reforming not only utilizes two potent greenhouse gases of methane and carbon dioxide, but also provides a valuable feedstock for the production of chemicals. However, this process has been heavily hindered by high operating temperature and coke formation with catalyst deactivation over the last century. Herein, we propose an approach whereby concentrated-solar catalytic methane dry re
Little is known about virome changes in raw and drinking water over time, and differences between raw water sources and treatment technologies. This study used metagenomics to assess viruses prevalent in raw and drinking water samples over 1 year from six Swedish drinking water treatment plants (DWTPs) with varying treatment barriers and with different raw water sources. Sequences homologous to kn
Objective: Although rare, malignant ovarian germ cell tumors (MOGCTs) account for 70 % of ovarian malignancies in women younger than 30 years. Given the rarity of MOGCTs and the limited population-based data, this study aims to examine national treatment patterns and survival in women with MOGCTs, with a focus on fertility-sparing surgery. Methods: This nationwide population-based study included a
This paper introduces FUNNEL (Filtered UNion for NER-based Ensemble Labeling), a novel ensemble-based framework for labeling financial news that enhances the reliability of stock-specific sentiment signals. The framework integrates weak keyword-based heuristics with a transformer-based named entity recognition model (spaCy) through a weighted voting scheme, balancing precision and recall. Manual e
Emerging from the citizen movements of the early 2010s, New Municipalism merges the administrative capacity of municipal government with the organizational capacities of activists and social movements to build more equal, just and ecological local economies. In these contexts, Digital Municipal Currencies (DMCs) emerge as potent instruments of counter-hegemonic struggle, enabling cities to impleme
This thesis is a collection of four experimental studies, three of which were preregistered, concerning the effects of French gender-fair forms on mental representations of gender and on processing in reading among adult L1 speakers of French. In study I (n = 1,018), the participants were presented with role nouns (such as actors) and asked to estimate the gender ratios in each group. Participants
Background and aimMany patients with depressive disorders do not improve with first-line treatment with selective serotonin inhibitors (SSRIs). Adverse drug reactions (ADRs) are common. However, there are no reliable methods to predict treatment response.The general aim of this thesis was to investigate the role of peripheral serotonin and the polymorphic CYP2D6 gene as potential biomarkers of tre
The model of the operation of a froth flotation column is described by a nonlinear convection–diffusion partial differential equation that incorporates the solids–flux, and drift–flux theories as well as a model of foam drainage. The resulting model is novel and contains non-standard ingredients such as discontinuous fluxes and degenerating diffusion accounting for foam drainage. It predicts the b
We prove the first hardness results against efficient proof search by quantum algorithms. We show that underLearning with Errors (LWE), the standard lattice-based cryptographic assumption, no quantum algorithm can weaklyautomate TC0-Frege. This extends the line of results of Krajííček and Pudlík(Information and Computation, 1998), Bonet, Pitassi, and Raz (SIAM Journal on Computing, 2000),and Bonet
This paper examines digital wellbeing as an evolving, mul-tifaceted concept shaped by technological design, data practices, and policy measures. Focusing on children and young people, it explores how digital wellbeing is governed through individual, platform, and government regulation. The technological dimension is foregrounded through well-being management tools such as screen-time dashboards, a
This article distills the vast literature on Common Correlated Effects (CCE), initiated by the seminal contribution of Pesaran (2006), into five practical lessons. We provide a concise overview of the CCE framework and describe the reasons for its popularity in empirical (macro-) panel data research. The lessons we draw focus on aspects that have received substantial methodological attention, but
