Science topic
Discrimination - Science topic
An interdisciplinary group on discrimination. Contributing fields include but are not limited to (labor) economics, psychology, social psychology, and sociology.
Definitions of discrimination differ between and within these fields. Usually, definitions of discrimination involve some sort of interpersonal treatment that is based on group membership rather than on individual characteristics. Usually, we study forms of discrimination that are considered unfair in a certain context (e.g. discriminating on the basis of race is considered unfair in education).
This group is the place to discuss every question related to discrimination, such as: Which forms of discrimination should we distinguish? Which theories help us understand discriminatory behavior? Which methods are suited for studying discrimination? How to interpret particular findings?
Publications related to Discrimination (10,000)
Sorted by most recent
Dear Colleagues,
Morpho-colorimetric analysis has become a powerful tool in botanical research, providing a quantitative alternative and/or extension to conventional methodologies.
In the last two decades, image morpho-colorimetric analysis has gained considerable attention in plant research for its potential to automate seed discrimination, repl...
In this paper, we report the spatiotemporal dynamics of an intraguild predation (IGP)-type predator-prey model incorporating harvesting and prey-taxis. We first discuss the local and global existence of the classical solutions in N-dimensional space. It is found that the model has a global classical solution when controlling the prey-taxis coeffici...
Leveraging spatiotemporal information in videos is critical for weakly supervised video object localization (WSVOL) tasks. However, state-of-the-art methods only rely on visual and motion cues, while discarding discriminative information, making them susceptible to inaccurate localizations. Recently, discriminative models have been explored for WSV...
The hysteresis effect represents the difference in open circuit voltage (OCV) between the charge and discharge processes of batteries. An accurate estimation of open circuit voltage considering hysteresis is critical for precise modeling of LFP
batteries. However, the intricate influence of state-of-charge (SOC), temperature, and battery aging have...
Studies show that individual attributes such as age and gender significantly influence physiological responses and their correlation with stress, often forming complex and overlapping relationships. These attributes are essential for enhancing physiological signal-based stress detection. Our work leverages hypergraph in multi-attribute representati...
Visual speech recognition (VSR), commonly known as lip reading, has garnered significant attention due to its wide-ranging practical applications. The advent of deep learning techniques and advancements in hardware capabilities have significantly enhanced the performance of lip reading models. Despite these advancements, existing datasets predomina...
Hyperspectral target detection is one of the main applications in remote sensing field, which has several challenges such as imbalance between target and background and how accurately separate targets from background. To deal with these difficulties, the discriminant analysis-based attention network (DAAN) is proposed in this work. To solve the ins...
As a carrier of national cultural characteristics, traditional national costumes have an important position in national traditional culture. The research is based on artificial intelligence technology and analyzes the digital exploration of traditional dress culture. In view of the problem of poor accuracy rate of traditional dress pattern segmenta...
The second and third-generation Indian novelists writing in English have focused their attention on the search for identity and women's emancipation. They have changed the themes of their novels into more meaningful and useful ones. They highlight that women's equality with men is very essential for the welfare of the family as well as society. It...
This presentation examines the enforcement challenges of gender parity within the framework of the Convention on the Elimination of All Forms of Discrimination Against Women (CEDAW) and the broader role of the United Nations. It highlights the gaps in CEDAW’s implementation, including weak enforcement mechanisms, state compliance issues, and cultur...
The recognition of the same faces masked and unmasked is a paramount function in preserving consistent recognition in public security, safety, and access control. Facial recognition technologies have been seriously tested with the widespread use of masks due to infectious diseases in recent years, which cover key facial areas and reduce identificat...
We seek to unpack and complicate traditional findings of Black Americans’ ambivalent progressivism of immigrants and immigration by seriously considering gender as an analytic tool. Specifically, we aim to highlight how Black women’s political and social uniqueness contextualizes their perception of attitudes toward immigrants and immigration. We a...
We prove the Mond conjecture for wave fronts which states that the number of parameters of a frontal versal unfolding is less than or equal to the number of spheres in the image of a stable frontal deformation with equality if the wave front is weighted homogeneous. We give two different proofs. The first one depends on the fact that wave fronts ar...
Why is it wrong to distribute goods nepotistically, and is it always wrong to do so? In this paper, I examine three distinct objections to nepotism from efficiency, equality of opportunity, and wrongful discrimination. Though these accounts of the wrong of nepotism identify genuine concerns that help orient our thinking about nepotistic practices,...
Discovery of the Higgs boson decay to dimuon is anticipated soon based on the current evidence. Precise categorization of events without affecting the invariant mass shape is crucial in the analysis. Decorrelation of the invariant mass and the output of discriminators (the score of discriminators) is essential for consistent and precise analysis. I...
Micro-expression recognition (MER) is inherently challenging due to the difficulty of extracting subtle, localized changes in micro-expressions (MEs). Various optical flow-based methods have been proposed for MER, as optical flow can effectively suppress facial identity information while capturing the movement patterns of MEs. However, these method...
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Assessing the lethal resistance levels of buildings during earthquakes is crucial for reducing disaster losses and human casualties. This study proposes a novel model that integrates an improved genetic algorithm (IGA) with an optimized backpropagation neural network (OBPNN) to address data imbalance in classifying building types for lethal resista...
In zero-shot image recognition tasks, humans demonstrate remarkable flexibility in classifying unseen categories by composing known simpler concepts. However, existing vision-language models (VLMs), despite achieving significant progress through large-scale natural language supervision, often underperform in real-world applications because of sub-o...
To improve the prediction of cancer survival using whole-slide images and transcriptomics data, it is crucial to capture both modality-shared and modality-specific information. However, multimodal frameworks often entangle these representations, limiting interpretability and potentially suppressing discriminative features. To address this, we propo...
Purpose of Review
Provide an overview of the Alternative DSM-5 model of Personality Disorder (AMPD) and ICD-11’s PD diagnostic model; review the models’ assessment measures and construct validity; describe the models’ current and ongoing status.
Recent Findings
The models have many content similarities but differ significantly in that maladaptive-...
Discriminator Guidance has become a popular method for efficiently refining pre-trained Score-Matching Diffusion models. However, in this paper, we demonstrate that the standard implementation of this technique does not necessarily lead to a distribution closer to the real data distribution. Specifically, we show that training the discriminator usi...
Background
Sensor-based technologies have been widely used in fall risk assessment. To enhance the model's robustness and reliability, it is crucial to analyze and discuss the factors contributing to the misclassification of certain individuals, enabling purposeful and interpretable refinement.
Methods
This study identified an abnormal gait patter...
Gender inequality affects education, healthcare, jobs, and property rights, especially in developing regions. This article highlights the economic and social costs of discrimination, including higher female mortality and limited opportunities. It discusses efforts by governments and NGOs to promote equality through policies and education. While pro...
The paper demonstrates the importance of memoirs written by Jewish women dealing with postwar experiences in communist countries; and thus responds to a lack of research dealing with postwar issues connected to gender, the Holocaust and communism. Using the example of Györgyi Vándor’s memoirs Mehr als eine Stimme im Chor. Erinnerungen einer Frau an...
Pre-trained on tremendous image-text pairs, vision-language models like CLIP have demonstrated promising zero-shot generalization across numerous image-based tasks. However, extending these capabilities to video tasks remains challenging due to limited labeled video data and high training costs. Recent video prompting methods attempt to adapt CLIP...
Background
Contrast-induced acute kidney injury (CI-AKI) is a common complication in patients with ST-segment elevation myocardial infarction (STEMI) and is associated with an inflammatory response. Inflammatory burden index (IBI) is a novel inflammatory marker, and the relationship between IBI and CI-AKI in STEMI patients is currently unknown. The...
Aging is associated with declines in various visual functions, including visual processing in the temporal domain. However, how visual processing in the temporal domain changes throughout adulthood remains unclear. To address this, we recruited 30 adults aged 20 to 70 years. By systematically manipulating the stimulus onset asynchrony (SOA) of exte...
La capacité d’adaptation, qui consiste à ajuster ses méthodes en fonction du contexte, est de plus en plus reconnue comme un aspect clé de la gestion des facteurs de stress. La capacité d’adaptation n’a toutefois pas encore été évaluée dans le contexte de la discrimination, un facteur de stress unique, racisé et incontrôlable, qui a de graves réper...
Previous studies in diverse settings have argued that worker subjectivity is infiltrated by the neoliberal discourse of the 'entrepreneurial self '. This article reexamines this conceptualisation by looking at worker subjectivity in China's internet sector. Interview data show that Chinese tech workers transition from embracing the entrepreneurial...
The study aims to explain the relationship between environmental impact form the variables of importance of energy production, energy use, sources of information on energy, relevant factors of life, and sustainable behavior, based on the perception of ejidatarios and communal farmers of the Cruz Colorada ejido located in the municipality of Chignah...
Previous research using electroencephalography has so far failed to provide strong and convincing evidence for the effects of facial feedback on the visual processing of emotional facial expressions. To fill this gap, we harnessed the power of electroencephalography frequency tagging, which offers excellent objective indication of implicit stimulus...
This research aims to determine the relationship between parent child relationships and problematic internet use among students in Padang City. The research sample used was 253 new students at Padang State University taken based on random sampling techniques. The instrument used for the problematic internet use variable was developed based on the t...
The term "Secular" refers to being "separate" from religion or having no religious base. Secularism term means separation of religion from political, economic, social and cultural aspects of life. Thus religion is only a purely personal matter. It provides full freedom to all religions and tolerance of all religions. It also stances for equal oppor...
Teaching is considered to be a noble profession but at the same time it is not rewarded equally and increasingly difficult for unaided section of college teachers to satisfy their passion for teaching and fulfilling their financial needs. Discrimination among college teachers has augmented dissatisfaction among Unaided college teachers. This study...
This work presents the simulation results of the radio science experiment onboard the proposed Heavy Metal mission to the M-type asteroid (216) Kleopatra. Earth-based radiometric measurements (range and range-rate), complemented by images from the onboard optical camera and by measurements from the inter-satellite link between the maincraft and a s...
Highlights • Developed a 10-item AI literacy test based on a validated 28-item test with data from 1,465 university students across Germany, the UK, and the US • Demonstrates reliability and validity of the short version of the test • AILIT-S enables efficient assessment of AI literacy at the group level in under 5 minutes but is not intended for i...
We prove some closed formulas for the logarithmic Chern character of a locally free sheaf. The argument used is representation-theoretic and we connect these formulas with the actions of some Casimir elements of $\mathfrak{sl}_r$. As an application, we give a recipe to construct slope polystable modular bundles on hyper-K\"ahler manifolds from old...
The paper addresses the latest form of Boussinesq equation with generalized form of cubic nonlinearity. The solitary waves are recovered from the model using traveling wave hypothesis. The conservation laws are recovered from the model. The conservation laws are obtained using the method of multipliers. Finally, the complete discriminant method yie...
The full-range, high-sensitivity and integratable detection of circularly polarized light (CPL) is critically important for quantum information processing, advanced imaging systems and optical sensing technologies. However, mainstream CPL detectors rely on chiral absorptive materials, and thus suffer from limited response wavelengths, low responsiv...
Recently, correlation filter-based tracking methods have been widely adopted in UAV target tracking due to their outstanding performance and excellent tracking efficiency. However, existing correlation filter-based tracking methods still face issues such as redundant visual features with weak discriminative ability, inadequate spatio-temporal infor...
Fourier ptychographic microscopy (FPM), as an advanced digital imaging technique, holds significant potential in the pathology field. Color FPM images are essential for accurate pathological analysis. Currently, color FPM images are primarily acquired through modifications in imaging devices or virtual staining algorithms. However, the complexity o...
INTRODUCTION
Plasma biomarkers sensitive to Alzheimer's disease (AD) proteinopathy prior to the onset of dementia have significant implications for early detection.
METHODS
In 304 individuals without dementia, we investigated whether C2N Diagnostics’ mass spectrometry (MS)‐based plasma biomarkers (amyloid beta 42/40, %phosphorylated tau [p‐tau]181...
Generalized Class Discovery (GCD) clusters base and novel classes in a target domain using supervision from a source domain with only base classes. Current methods often falter with distribution shifts and typically require access to target data during training, which can sometimes be impractical. To address this issue, we introduce the novel parad...
This study presents the first comprehensive safety evaluation of the DeepSeek models, focusing on evaluating the safety risks associated with their generated content. Our evaluation encompasses DeepSeek's latest generation of large language models, multimodal large language models, and text-to-image models, systematically examining their performanc...
Purpose
Phonetic training has been found to be an effective way on second language (L2) learning, but the evidence is not conclusive regarding the effectiveness of different instructional approaches and possible interactions between language learners, training features, and outcome measures. This study aims to meta-analyze existing studies to provi...
Pedestrian trajectory prediction is crucial in many fields such as autonomous driving and intelligent robot navigation. Currently, many prediction methods based on generative adversarial networks (GAN) typically model the uncertainty of the discriminator network’s output in the form of probabilities and then optimize the network using cross-entropy...
In the wake of recent order of the Supreme Court on the issue of caste-based discrimination of prisoners, 'Model Prison Manual, 2016' and the 'Model Prisons and Correctional Services Act, 2023' have been amended. As per the new addition in the manual, the prison authorities will have to strictly ensure that there is no discrimination, classificatio...
Introduction
Artificial intelligence (AI) has emerged as a transformative tool in various professional domains, including counselling, where it offers innovative ways to enhance service delivery and client outcomes. Despite its potential, research on AI in counselling practices often focuses on its technical applications, with limited attention to...
After 24 February 2022, tens of thousands of refugees from Ukraine fled to the Czech Republic. The war disrupted their lives, and their future status remains unclear. This article utilises 19 semistructured interviews with highly skilled Ukrainian refugees in different parts of the Czech Republic. It focuses on their ontological security and migrat...
In this paper, we develop a novel online federated learning framework for classification, designed to handle streaming data from multiple clients while ensuring data privacy and computational efficiency. Our method leverages the generalized distance-weighted discriminant technique, making it robust to both homogeneous and heterogeneous data distrib...
The establishment of a set of perfect equipment abnormality early warning and emergency response mechanism, equipment abnormality early warning mechanism can cooperate with the emergency response mechanism, and jointly solve the abnormality, is an important link to provide high quality and stable power supply service. This paper deeply researches t...
Three years ago I have faced an attempt for discrimination and violation of my human rights from a democratic country, with traditions in support of social equality and freedom. They have corrected their mistake and have allowed me to study in a French University, despite my age and social position.. Now I am faced with the conformism of my native...
Histological images play a crucial role in diagnosing diseases, especially breast cancer, which remains a major health concern for women worldwide. Computer-aided diagnosis tools significantly assist physicians in early detection and treatment planning, helping reduce mortality rates. Convolutional neural networks (CNNs) based on deep learning have...
This paper investigates an end-to-end speech signal denoising approach for cochlear implants (CIs). Building on previous work, we first explore the effect of relocating the deep envelope detector within the deep learning-based CI sound coding strategy, moving it from the skip connection to the output of the masking operation. This modification enab...
Multimodal medical images, comprising anatomical and functional images, offer complementary insights into organ structure and metabolism. Anatomical images depict internal organ structures, whereas functional images illustrate metabolic activity but lack detailed structural information. Multimodal image fusion integrates data from different sensors...
This paper discusses the BERT model, two-channel convolutional neural network and bi-directional LSTM model architecture in natural language processing. And on this basis, the BERT analytic representation model was used to extract and analyze the theme of chapter contents and related characters in literary works. Sentiment analysis was conducted wi...
The concept of “safe space” dates back to the 1970s when it was used to describe the physical space where individuals could share their experiences in a safe environment (Flensner & Von der Lippe, 2019). Though a fundamental requirement of a safe space is physical safety, we should recognize that a learning space that is free from violence, discrim...
Automatic modulation classification (AMC) is an essential task in intelligent receivers. AMC over multipath fading channels have two problems: The first problem is that the Higher-order moment (HOM)-based normalized channel coefficients estimator is not valid for some types of digital modulations. The second problem is about poor classification acc...
Background/Objective: To assess the effectiveness of therapy based on sliding and tensioning neurodynamic techniques in the conservative treatment of mild and moderate forms of cubital tunnel syndrome (CuTS) compared to sham therapy. Methods: A single-blinded, randomized placebo-controlled trial. The study was conducted at several medical clinics....
This article uses a posthuman perspective to analyse the intertwined relationship between some academics as social beings and their areas of expertise. It focuses on the intra-action between the academics and their areas of expertise to express their self-perception, resist essentialist discourses of who they are experienced as within the universit...
End-to-end person search aims to jointly detect and re-identify a target person in raw scene images with a unified model. The detection sub-task learns to identify all persons as one category while the re-identification (re-id) sub-task aims to discriminate persons of different identities, resulting in conflicting optimal objectives. Existing works...
Since the first confirmed case of COVID-19 in the United States on January 19 th , 2020, the anti-Asian racist and xenophobic rhetoric began to surge on social media, followed by acts of discrimination and harassment against Asians and Asian Americans. In this study, we identified anti-Asian hate language from 17 million geotagged social media post...
This study proposes a novel metric to quantitatively evaluate body synergistic coordination, explicitly addressing dynamic interactions between pairs of body segments in baseball pitching motions. Conventional methods typically compare motion trajectories using individual joint coordinates or velocities independently, employing techniques like Dyna...
In the realm of first language (L1) grammar education, research on instruments assessing explicit grammatical understanding is limited. This article discusses an Item Response Theory (IRT) analysis on the Test for Grammatical Understanding (TGU), a multiple-choice tool designed for measuring such grammatical understanding, in this case pertaining t...
The prediction of flow distribution in regenerative cooling channels of scramjet can provide valuable reference information for flow regulation. The non-intrusive monitoring method based on deep learning is a promising approach. In this work, a generative adversarial networks-like (GAN-like) model is proposed, where the generator and discriminator...
Dataset Condensation (DC) aims to obtain a condensed dataset that allows models trained on the condensed dataset to achieve performance comparable to those trained on the full dataset. Recent DC approaches increasingly focus on encoding knowledge into realistic images with soft labeling, for their scalability to ImageNet-scale datasets and strong c...
We address the problem of semi-supervised domain generalization (SSDG), where the distributions of train and test data differ, and only a small amount of labeled data along with a larger amount of unlabeled data are available during training. Existing SSDG methods that leverage only the unlabeled samples for which the model's predictions are highly...
Sound event localization and detection (SELD) aims to identify the category and duration of sound events (SED) while also estimating their respective direction of arrival (DOA). This multi-task problem presents unique challenges, as the features required for SED and DOA tasks are not entirely aligned. Consequently, incomplete feature extraction and...
Scribble-based weakly supervised semantic segmentation leverages only a few annotated pixels as labels to train a segmentation model, presenting significant potential for reducing the human labor involved in the annotation process. This approach faces two primary challenges: first, the sparsity of scribble annotations can lead to inconsistent predi...
The reactivity hypothesis posits that individuals who perceive deprivation, often in the form of discrimination, may be more inclined to adopt a fundamentalist worldview and may even become more susceptible to radicalization as a reaction to these feelings of deprivation. The Uncertainty-Identity Theory posits entitativity as a moderator between de...
The modern study of perceptual learning across humans, non-human animals, and artificial agents requires large-scale datasets with flexible, customizable, and controllable features for distinguishing between categories. To support this research, we developed the Oomplet Dataset Toolkit (ODT), an open-source, publicly available toolbox capable of ge...
Microaggressions against individuals with mental illness represent a pervasive form of discrimination that negatively impacts individuals' mental health and well-being. These microaggressions, defined as brief and commonplace verbal, behavioural, or environmental indignities, often convey derogatory messages to marginalized groups, including those...
We present a quantum heat engine based on a quantum Otto cycle whose working substance reproduces the same outcomes as an SU ( 1 , 1 ) interference process at the end of each adiabatic transformation. This device takes advantage of the extraordinary quantum metrological features of the SU ( 1 , 1 ) interferometer to better discriminate the sources...
Non-invasive brain stimulation (NIBS) techniques have the potential to demonstrate the causal impact of targeted brain regions on specific behaviors, and to regulate or facilitate behavior in clinical applications. Transcranial random noise stimulation (tRNS) is one form of transcranial electric stimulation (tES) in which an alternating current is...
Recently, adversarial learning-based U-Net models have achieved encouraging performance in MRI brain tumor segmentation. However, existing works still have limitations in capturing global dependencies and inter-channel semantic information of brain tumor images. To address these issues, this work proposes a novel cycle generative adversarial Transf...
Mounting research finds that shared discrimination boosts solidarity between people of color (PoC), with downstream increases in support for pro-outgroup policies. However, these experiments measure the proposed mediator (solidarity), rather than manipulate it, which raises reasonable doubts about its causal impact. We report two pre-registered exp...
When the structure of Chinese bisyllabic words is examined by using the substitution method, three kinds of results can be obtained, namely, "morpheme+morpheme", "morpheme+syllable" and "syllable+syllable". Whether the result of "morpheme+syllable" is reasonable or not, there have been different opinions in the academic circles. In modern Chinese,...
Piano performance is a fusion of emotion and art, which needs to be expressed by adopting superior skills, but also to create the corresponding mood atmosphere to comprehensively show the infectious power of piano performance. This paper proposes the application of AI recognition of human bone and joint movements in piano performance, using BP neur...
We investigate the N → M probabilistic quantum cloning of three equidistant states defined by a real number of the overlap among them. We design the most general transformation of probabilistic quantum cloning, which improves the probabilistic quantum cloning proposed in the reference (Duan and Guo. PRL. 80, 4999 (1998)). The success cloning probab...
We introduce STEP, a novel framework utilizing Transformer-based discriminative model prediction for simultaneous tracking and estimation of pose across diverse animal species and humans. We are inspired by the fact that the human brain exploits spatiotemporal continuity and performs concurrent localization and pose estimation despite the specializ...
Exploiting the first measurements of the same ion species in O+O collisons at RHIC and LHC, we propose an experimentally accessible observable to distinguish whether collective behaviour builds up through a hydrodynamic expansion of a strongly interacting QGP or through few rescatterings in a non-equilibrated dilute medium. Our procedure allows to...
Traditional emotion prediction methods rely heavily on large amounts of labeled data and often struggle to capture subtle variations and individual differences in emotional expression. The goal of this paper is to enhance Generative Adversarial Networks (GANs) to improve emotion prediction accuracy, thereby providing college students with a more in...
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In this paper we study the third-order abstract ordinary differential equations
where \(a,b\geqslant 0\), \(c\ne 0\), \(0\leqslant x<y\leqslant z\leqslant 1\), and \(A:D(A)\subset X \rightarrow X\) is an unbounded, closed, densely defined, self-adjoint linear operator, which is defined on a separable Hilbert space X. We characterized the spectrum o...
Objective
Ocular fundus disease is one of the most complex areas of ophthalmology and a difficulty in ophthalmic education and training. Fundus imaging is an essential tool and reliable method for teaching fundus diseases. At present, the development of fundus imaging has entered the multimodal era. The traditional teaching mode is difficult to mee...
Objective – An exploratory study was conducted to identify the key factors that influence students’ perceptions of a sense of belonging in an academic library, focusing particularly on gaining insight into the perspectives of students from historically marginalized communities. Methods – Participants were administered an online survey comprising 18...
Sound-guided object segmentation has drawn considerable attention for its potential to enhance multimodal perception. Previous methods primarily focus on developing advanced architectures to facilitate effective audio-visual interactions, without fully addressing the inherent challenges posed by audio natures, \emph{\ie}, (1) feature confusion due...
In this study, a four-grid retarding potential analyzer (RPA) with drilled grid holes is investigated, focusing on correlations between grid orientations and resulting characteristics. The individual grids have a hexagonal hole pattern and can be mounted rotated relative to each other in multiples of 90°. An ion beam with a small divergence and a n...
In this paper, in order to enhance the MRI diagnosis of myocarditis, a generative adversarial network (GAN)-based MRI diagnostic model for myocarditis is constructed in this paper. The MRI images of myocarditis provided by a hospital were used as the data source for this study, and the image format was transformed into NII format file for saving us...
Traditional tobacco adulteration manual detection methods have problems such as complex operation and low precision, which cannot meet the increasingly refined needs of tobacco adulteration detection. In order to realize the discrimination of adulteration of different varieties of tobacco, this study combines hyperspectral imaging technology with d...
Data imbalance is a critical factor affecting the predictive accuracy in collision risk assessment. This study proposes an advanced active generative oversampling method based on Query by Committee (QBC) and Auxiliary Classifier Generative Adversarial Network (ACGAN), integrated with the Wasserstein Generative Adversarial Network (WGAN) framework....
Media has a profound impact on societal understanding of LGBTQ+ individuals, with potential for both positive and negative consequences. Upholding professional ethics is crucial to prevent discrimination or the dissemination of misinformation.
This article emphasizes the evolving role of media concerning the LGBTQ+ community in Vietnam, transition...
In this paper, we present an algorithm for approximate calculation and analysis of supercritical bendings of a longitudinally compressed, elastic beam on a double elastic foundation in the modified Vlasov–Leontiev model. The procedure is based on the Poincaré–Lyapunov–Schmidt variational method, which allows one to reduce the analysis of supercriti...
The advancement of endoscopic visual navigation is critical for accurate diagnosis and treatment of colonic disease. However, traditional techniques face challenges in adaptability to complex colonic conditions. This is exemplified by their limited ability to respond effectively to different situations, which results in less accurate navigation pla...
The monitoring capability of marine debris detection of Sentinel-2 was tested over the European seas in July-August 2023, supported by spectral discrimination criteria derived from river-debris samples. The detected aggregates of floating materials were investigated focusing on the natural aggregation processes occurring at the sea surface and on t...
Ionospheric vertical sounding is a well‐established and widely used ground‐based technique for ionospheric detection. Efficient and accurate automatic scaling of ionograms is crucial for real‐time applications of vertical sounding. However, current scaling methods face challenges in achieving precise trace segmentation due to noise, interference, a...
Background
Coronary microvascular dysfunction (CMD) after percutaneous coronary intervention (PCI) is a critical prognostic factor in acute coronary syndrome (ACS). This study aimed to evaluate the combined predictive value of the triglyceride-glucose index (TyG) and non-HDL-C/HDL-C ratio (NHHR) for CMD in ACS patients post-PCI.
Methods
A retrospe...
Bearings are a critical part of various industrial equipment. Existing bearing fault detection methods face challenges such as complicated data preprocessing, difficulty in analysing time series data, and inability to learn multi‐dimensional features, resulting in insufficient accuracy. To address these issues, this study proposes a novel bearing f...
