In synthetic aperture radar (SAR) imagery, relating to maritime surveillance studies, the ship has always been the main focus of study. In this letter, a method of ship classification in SAR images is proposed to enhance classification accuracy. In t...
As a behavioral biometric trait, an online signature is extensively used to verify a person’s identity in many applications. In this paper, we present a method using shape contexts and function features as well as a two-stage strategy for accur...
In this paper, a novel building change detection approach is proposed using statistical region merging (SRM) and a shape context similarity model for Light Detection and Ranging (LiDAR) data. First, digital surface models (DSMs) are generated from Li...
In spatial analysis applications, measuring the shape similarity of polygons is crucial for polygonal object retrieval and shape clustering. As a complex cognition process, measuring shape similarity should involve finding the difference between poly...
Recognizing morphological patterns in lines and segmenting them into homogeneous segments is critical for line generalization and other applications. Due to the excessive dependence on handcrafted features in existing methods and their insufficient c...
Across the globe, governments restricted social life to slow the spread of COVID-19. Several conservative Protestant sects resisted these policies in the United States. We do not yet know if theology shaped the resistance or if it was more a product...
There is increasing interest in the possibility of delivering violence prevention interventions online. This interest has been intensified by the ‘stay at home’ mandates brought about by COVID-19, which has pushed violence prevention prac...
Owing to significant differences in synthetic aperture radar (SAR) images caused by diverse imaging mechanisms and imaging conditions, inconsistent features and relationship correspondences constitute key problems for traditional image registration a...
Point clouds registration is an important step for laser scanner data processing, and there have been numerous methods. However, the existing methods often suffer from low accuracy and low speed when registering large point clouds. To meet this chall...
The point clouds registration is a key step in data processing for the 3D laser scanner to obtain complete information of the object surface, and there are many algorithms. In order to overcome the disadvantages of slow calculation speed and low accu...
Traditional Chinese villages, which have long supported villagers’ comfort level of daily activities, are increasingly affected by global climate change and rural reconstruction, prompting growing research interest in their outdoor microclimate...
In the printing industry, defect detection is of crucial importance for ensuring the quality of printed matter. However, rarely has research been conducted for web offset printing. In this paper, we propose an automatic defect detection method for we...
Pylons play an important role in the safe operation of power transmission grids. Directly reconstructing pylons from UAV images is still a great challenge due to problems of weak texture, hollow-carved structure, and self-occlusion. This paper presen...
In this paper, we present a non-rigid point cloud matching method based on an invariant structure for face deformation. Our work is guided by the realistic needs of 3D face reconstruction and re-topology, which critically need support for calculating...
Curved, blurred, low-contrast, and cluttered scene text remains difficult to localize and transcribe because visual boundaries and character identities are often ambiguous. Most detectors refine spatial regions from visual and positional features, wh...
Protein family membership may constrain protein thermal stability, but the extent of this effect remains unclear. We reanalyzed a published thermal proteome dataset containing 3917 Arabidopsis thaliana proteins. Proteins within the same family showed...
Does systematic covariation in the usage patterns of forms shape the sublexical variance observed in conversational speech? We address this question in terms of a recently proposed discriminative theory of human communication that argues that the dis...
Emotional contexts affect memory processes. However, the impact of contextual priming as a function of the emotional valence on the recall of neutral information is not fully understood. The aim of the present study was to evaluate how a conditioning...
This entry explores how foresight approaches can guide the future of water infrastructures. It highlights key long-term disruptive drivers of change—such as climate change, digital transformation, and geopolitical tensions—that infrastruc...
The field of wildlife conservation is comprised of a variety of players with different contexts and approaches. Zoos and aquariums, historically largely focused on public entertainment, are shifting more towards conservation-minded missions and can p...
This study explores how 130 future teachers (FTs) perceive and address massive waste generation when it is framed through two socio-environmental contexts: waste export from affluent to vulnerable countries and microplastic pollution in natural envir...
Computing the diameter of nanometer wood powder is the key step of intelligently acquiring wood powder mesh during processing and production in the wood powder manufacturing industry. To obtain the micro image of nano wood powder, the method of hole...
Subsurface structural distribution can be detected using Ground-Penetrating Radar (GPR). The distribution can be considered as road fingerprints for vehicle positioning. Similar to the principle of visual image matching for localization, the position...
Effective detection of the contours of cloud masks and estimation of their distribution can be of practical help in studying weather changes and natural disasters. Existing deep learning methods are unable to extract the edges of clouds and backgroun...
Plants are ubiquitous in human life. Recognizing an unknown plant by its leaf image quickly is a very interesting and challenging research. With the development of image processing and pattern recognition, plant recognition based on image processing...
Multiple crystal structures of the homo-trimeric protein disulphide isomerase PmScsC reveal that the peptide which links the trimerization stalk and catalytic domain can adopt helical, β-strand and loop conformations. This region has been called a ‘s...
Changzhou is a city situated in the eastern region of China and serves as a pivotal juncture of the UNESCO World Cultural Heritage site, the Grand Canal of China. The study employed spatial syntax foreground and background network analysis to examine...
The contemporary academic environment in Canada has undergone reorganization based on neoliberal principles, and has increased attention focused on the importance of supporting interdisciplinary initiatives to address complex problems affecting globa...
Assessing social acceptability is vital when designing body-worn mobile devices. Previous research found evidence that using stereotyping content model (SCM) mobile devices can systematically predict ratings of the warmth and competence of their wear...
Retrieving the similar solutions from the historical case base for new design requirements is the first step in mechanical part redesign under the context of case-based reasoning. However, the manual retrieving method has the problem of low efficienc...
The scarcity and incompleteness of well-log data pose a critical challenge to deep learning-based reservoir prediction. To address this small-sample problem and improve prediction quality, we propose a novel semi-supervised asymmetric deep co-trainin...
This article presents the study of an architectural-constructive type located in Valencia: ribless brick vaults built with the “catalan” technique (one single brick plement approximately 5 cm thick). This is a very specific variant of the...
This paper outlines a novel method for leadership researchers and practitioners to understand how and why effective and ineffective leadership look different in different groups. Leadership is a complex and contextually dependent process influenced b...
Introduction: Freshwater ecosystems are among the most threatened worldwide, with river fragmentation, primarily caused by dams and weirs, identified as a major driver of biodiversity loss. This issue is particularly acute in Europe, where more than...
Cancer cells survive, proliferate, and metastasize in part because the immune system fails to detect and eliminate them. Moreover, the tumor microenvironment (TME) that surrounds the tumor supports cancer cell survival and resistance to chemo- and im...
Intrinsically disordered regions (IDRs) are central components of many biomolecular condensates, where their sequence features help shape the weak and multivalent interactions underlying assembly and regulation. Aromatic and charged residues, sequenc...
Human-driven changes in land cover and use can significantly impact species ants community structures, often leading to a decline in taxonomic diversity or species homogenization. Ant morphology, used as a proxy for ecological function, offers a valu...
Urban park use is a key indicator of sustainable urban development, reflecting the accessibility and social value of urban green infrastructure. However, existing studies often struggle to distinguish stable spatial differences from short-term tempor...
Public goods provision is vulnerable to free riding, making sustained cooperation a central challenge in economics. Fehr and Schmidt’s inequity-aversion model explains how fairness concerns can support cooperation, but it treats preferences as...
When facing common setbacks like a missed due date or low assignment grade, some students take action to change the outcome while others do not. This study compares academic strategies by social class and across institutional context through intervie...
Emotional contagion refers to the transmission and interaction of emotions among people. Researchers have mainly focused on its process and mechanism, often simplifying its social background due to its complexity. Therefore, in this study, we attempt...
Children’s ability to infer meanings of unfamiliar words during reading is thought to rely on the interplay between decoding, morphological awareness, contextual support, and vocabulary knowledge, but it remains unclear how these sources operat...
Green transparency motivates organizations to decrease environmental hazard emissions, improve ecological safeguarding behavior, and increase environmental performance. However, the current literature ignores the cultural and organizational factors b...
Improving the reliability and durability of internal combustion engines in marine vessels is a complex issue. The vibrations generated in these engines significantly affect their proper operation. One of the current research challenges is identifying...
CCCTC-binding factor (CTCF) is an architectural protein that organizes 3D genome architecture by binding to tens of thousands of genomic loci in a typical human cell type. Although DNA-binding affinity contributes to CTCF occupancy in vivo, the princ...
Although acculturation research recognizes that a community’s context of reception shapes acculturation, relatively limited research has explored how social and contextual variables shape the divergence of ‘real’ acculturation from...
Architecture is the art of shaping space, system, and technology. A close relationship is established between the building and its user, as the facility provides shelter and communicates with the inhabitants by meanings encoded in the form. The recep...
Any painful or medical experience that we face is viewed from the lens with which we understand and view the experience [...]
Accurate polyp segmentation is of great importance for the diagnosis and treatment of colon cancer. Convolutional neural networks (CNNs) have made significant strides in the processing of medical images in recent years. The limited structure of convo...
The optimisation of poultry meat quality attributes at the industrial level requires getting to know the changing customer needs and expectations to justify further measures taken in the future to improve the production process. This article was aime...
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