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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
Measurements of integrated and differential cross-sections for electroweak W±Z production in association with two jets (W±Zjj) in proton-proton collisions are presented. The data collected by the ATLAS detector at the Large Hadron Collider from 2015 to 2018 at a centre-of-mass energy of s = 13 TeV are used, corresponding to an integrated luminosity of 140 fb−1. The W±Zjj candidate events are recon
In this paper, we revisit the question of key recovery using side-channel analysis for unrolled, single-cycle block ciphers. In particular, we study the Princev2 cipher. While it has been shown vulnerable in multiple previous studies, those studies were performed on side-channel friendly ASICs or older FPGAs (e.g., Xilinx Virtex II on the SASEBO-G board), and using mostly expensive equipment. We s
IMPORTANCE Risk stratification strategies in primary prevention of coronary events lack precision. OBJECTIVE To determine whether prediction of first coronary events is improved by adding information on coronary atherosclerosis from coronary computed tomography angiography (CCTA) to a model using the pooled cohort equation (PCE) risk score tool and the coronary artery calcification score (CACS). D
Science is a risky business, and risk-taking is a critical disposition for scientists. This study uses a combination of survey and bibliometric data to measure the degree of individual scientists' risk-taking and investigate its determinants. In particular, we focus on academic training as a critical arena for the socialization of risk-taking and examine whether and how risk-taking is transmitted
Code Language Model (code-LM)-based vulnerability detection for C/C++ faces a substantial challenge. Previous research has shown that even though it is better than any prior machine learning approach, it still struggles to generalize well, as shown by the low F1 score. Prior works treated the problem as a binary classification: either vulnerable or non-vulnerable. Looking deeper at the various vul
Hydrogen energy plays a pivotal role in the sustainable energy transition. Methanol steam reforming offers an efficient route for decentralized hydrogen production, yet catalyst limitations persist. This work employs entropy engineering to design lanthanide perovskite catalysts via sol-gel synthesis. Structural analyses reveal entropy-driven lattice distortion, enhanced disorder, and elevated oxyg
