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DeepLSD : Line Segment Detection and Refinement with Deep Image Gradients

Line segments are ubiquitous in our human-made world and are increasingly used in vision tasks. They are complementary to feature points thanks to their spatial extent and the structural information they provide. Traditional line detectors based on the image gradient are extremely fast and accurate, but lack robustness in noisy images and challenging conditions. Their learned counterparts are more

Sanctity and Female Authorship : Birgitta of Sweden & Catherine of Siena

Birgitta of Sweden (Birgitta Birgersdotter, 1302/03-1373) and her younger contemporary Catherine of Siena (Caterina Benincasa, 1347-1380) form the most powerful and influential female duo in European history. Both enjoyed saintly reputations in life, while acting as the charismatic leaders of a considerable group of followers consisting of clergy as well as mighty secular men and women. They are a

Olfactory protocerebral pathways processing sex pheromone and plant odor information in the male moth Agrotis segetum

We investigated protocerebral processing of behaviorally relevant signals in the turnip moth, Agrotis segetum. Single neurons were studied both physiologically and morphologically using intracellular recording techniques. In moth pheromone communication systems, the presence of the complete, female-produced pheromone blend is necessary for male attraction. We predicted that more protocerebral neur

Flooding lagoons, melting mountains: Diffractive vignettes as a communicative engagement with extra-linguistic and response-able materializations

Purpose: This article aims to illustrate diffractive vignettes as a methodology to extend current communicative and performative approaches. We engage with the critical ethical- onto-epistemological underpinnings of diffraction and explore how it can sensitize communicative research (in particular within the Montréal School (TMS) of CCO scholarship) to processes of materialization - what comes to

Bayesian operator inference for data-driven reduced-order modeling

This work proposes a Bayesian inference method for the reduced-order modeling of time-dependent systems. Informed by the structure of the governing equations, the task of learning a reduced-order model from data is posed as a Bayesian inverse problem with Gaussian prior and likelihood. The resulting posterior distribution characterizes the operators defining the reduced-order model, hence the pred

Million-year-old DNA sheds light on the genomic history of mammoths

Temporal genomic data hold great potential for studying evolutionary processes such as speciation. However, sampling across speciation events would, in many cases, require genomic time series that stretch well back into the Early Pleistocene subepoch. Although theoretical models suggest that DNA should survive on this timescale1, the oldest genomic data recovered so far are from a horse specimen d

The Paradox of Predictability Provides a Bridge Between Micro- and Macroevolution

The relationship between the evolutionary dynamics observed in contemporary populations (microevolution) and evolution on timescales of millions of years (macroevolution) has been a topic of considerable debate. Historically, this debate centers on inconsistencies between microevolutionary processes and macroevolutionary patterns. Here, we characterize a striking exception: emerging evidence indic

Mapping urban NBS practices across Latin America for climate change adaptation

Nature-based Solutions (NBS) are recognized as key actions for achieving sustainable and resilient development. They are being implemented in a variety of fields, such as urban planning, and offer a wide range of social, environmental, and economic benefits. While there has been a significant increase in the number of NBS practices in recent years, there remains a notable imbalance, with a bias to

A Conceptual Framework for Understanding Patient Expectations in Individualised Anaesthesia and Analgesia: A Narrative Review and Future Directions

Acute postoperative pain remains a major clinical challenge, affecting both recovery and resource utilisation. Beyond nociceptive input, pain is shaped by cognitive and emotional factors, including patient expectations. This narrative review examines the role of expectations in perioperative pain modulation, framed within predictive coding and Bayesian inference models. These models conceptualise

The multimodal materialization of disciplinary meanings : Embodied cohesion for L2 learners in physical education and health

This case study investigates the development of subject-specific literacy in Physical Education and Health (PEH) for second language (L2) learners within a Swedish secondary school context. Integrating Systemic Functional Linguistics (SFL) and Legitimation Code Theory (LCT), the study introduces the concept of embodied cohesion to analyze how meaning is constructed across verbal, graphic, and phys

A New Decryption Failure Attack Against HQC

HQC is an IND-CCA2 KEM running for standardization in NIST’s post-quantum cryptography project and has advanced to the second round. It is a code-based scheme in the class of public key encryptions, with given sets of parameters spanning NIST security strength 1, 3 and 5, corresponding to 128, 192 and 256 bits of classic security.In this paper we present an attack recovering the secret key of an H

Dense sampling of bird diversity increases power of comparative genomics

Whole-genome sequencing projects are increasingly populating the tree of life and characterizing biodiversity1–4. Sparse taxon sampling has previously been proposed to confound phylogenetic inference5, and captures only a fraction of the genomic diversity. Here we report a substantial step towards the dense representation of avian phylogenetic and molecular diversity, by analysing 363 genomes from

Software Quality Assurance - Concepts and Misconceptions

Software quality engineering is concerned with building software products with required quality and assessing the level of quality. Software processes are important assets in achieving and assessing the software quality. Furthermore the adherence to defined processes is a key issue to having the software engineering under control and to enable process improvement. The software quality assurance (S

A Generalized Zero-Forcing Precoder with Successive Dirty-Paper Coding in MISO Broadcast Channels

In this paper, we consider precoder designs for multiuser multiple-input-single-output (MISO) broadcasting channels. Instead of using a traditional linear zero-forcing (ZF) precoder, we propose a generalized ZF (GZF) precoder in conjunction with successive dirty-paper coding (DPC) for datatransmissions, namely, the GZF-DP precoder, where the suffix ‘DP’ stands for ‘dirty-paper’. The GZF-DP precode

A review of design guidance on wildland urban interface fires

Fires in the Wildland-Urban Interface (WUI) areas is a worldwide problem, which is gaining more importance over time due to climate change and constructions in the WUI areas. Standards and guidelines may greatly help the activities of planning, prevention and protection against wildfires. Some countries/States/local communities can already rely on existing standards and guidelines, while other are

Fe N-Heterocyclic Carbene Complexes as Promising Photosensitizers

ConspectusThe photophysics and photochemistry of transition metal complexes (TMCs) has long been a hot field of interdisciplinary research. Rich metal-based redox processes, together with a high variety in electronic configurations and excited-state dynamics, have rendered TMCs excellent candidates for interconversion between light, chemical, and electrical energies in intramolecular, supramolecul

Simple process-led algorithms for simulating habitats (SPLASH v.1.0) : Robust indices of radiation, evapotranspiration and plant-available moisture

Bioclimatic indices for use in studies of ecosystem function, species distribution, and vegetation dynamics under changing climate scenarios depend on estimates of surface fluxes and other quantities, such as radiation, evapotranspiration and soil moisture, for which direct observations are sparse. These quantities can be derived indirectly from meteorological variables, such as near-surface air t

Supporting Change Impact Analysis Using a Recommendation System: An Industrial Case Study in a Safety-Critical Context

Change Impact Analysis (CIA) during software evolution of safety-critical systems is a labor-intensive task. Several authors have proposed tool support for CIA, but very few tools were evaluated in industry. We present a case study on ImpRec, a recommendation System for Software Engineering (RSSE), tailored for CIA at a process automation company. ImpRec builds on assisted tracing, using informati

A new evolutionary rough fuzzy integrated machine learning technique for microRNA selection using next-generation sequencing data of breast cancer

MicroRNAs (miRNA) play an important role in various biological process by regulating gene expression. Their abnormal expression may lead to cancer. Therefore, analysis of such data may discover potential biological insight for cancer diagnosis. In this regard, recently many feature selection methods have been developed to identify such miRNAs. These methods have their own merits and demerits as th

Protecting OpenFlow Flow Tables with Intel SGX

Flexible and powerful control over network flows is one of the core advantages of Software-Defined Networking (SDN). Flow rules stored in switch network flow tables contain information on packet processing and routing. Flow rules are stored in memory, in a set of data structure rules, and managed by a classifier in flow tables. Network flows are a valuable asset: they contain information about the