Science topics: Cognitive PsychologyCategorization
Science topic
Categorization - Science topic
Explore the latest publications in Categorization, and find Categorization experts.
Publications related to Categorization (10,000)
Sorted by most recent
This intermediate-level tutorial, titled "Gen-RecSys," merges both industrial and academic perspectives on recent advances in Generative AI for recommender systems (beyond LLMs). It aims to highlight the transformative role of generative models in modern recommender systems, which have significantly impacted the AI field-particularly with the rise...
The categorization of opinions into positive, negative, or neutral facilitates information gathering, pinpointing individual weaknesses, and streamlining the decision-making process. Precision in opinion classification enables decision-makers to extract valuable insights, make well-informed decisions, and execute suitable actions. Sentiment analysi...
The main aim of the present study is to reveal the relationship between a 4 th-grade EFL textbook used in Turkiye and the mediation notion that is given a place in the Companion Volume to the CEFR (CEFR/CV) in 2018. The deductive thematic content analysis method of qualitative research, including techniques such as re-reading and taking notes, was...
The aim of the article is to present ways of resolving the situations related to cyberbullying and cyberaggression that occur in Polish schools. The research fills a gap (taboo subject) in the means of solving crisis situations related to attacks on teachers that occur online. The qualitative research (online interviews) conducted in Poland at the...
The study sought to understand perceptions about dengue fever in a rural community in Córdoba, Colombia, with the aim of guiding specific community nursing actions aimed at health care and education for people, families and rural communities. 20 semi-structured interviews were carried out with heads of families (13 men and 7 women), selected based...
The study sought to understand perceptions about dengue fever in a rural community in Córdoba, Colombia, with the aim of guiding specific community nursing actions aimed at health care and education for people, families and rural communities. 20 semi-structured interviews were carried out with heads of families (13 men and 7 women), selected based...
Studies about health education have focused more on what is taught than on who is learning. This article reports the findings of a qualitative interpretive meta-synthesis (QIMS) on patients' experiences which emerge during participation in educational interventions on food and nutrition in Latin America. A search for studies based on constructivist...
While self-handicapping has been extensively studied in the literature, there is limited research in the field of teaching English as a foreign language (EFL). This current study addresses this gap by investigating self-handicapping behaviours among EFL preservice teachers at a state university. The research focused on examining the frequency of se...
The study sought to understand perceptions about dengue fever in a rural community in Córdoba, Colombia, with the aim of guiding specific community nursing actions aimed at health care and education for people, families and rural communities. 20 semi-structured interviews were carried out with heads of families (13 men and 7 women), selected based...
Studies about health education have focused more on what is taught than on who is learning. This article reports the findings of a qualitative interpretive meta-synthesis (QIMS) on patients' experiences which emerge during participation in educational interventions on food and nutrition in Latin America. A search for studies based on constructivist...
Diabetic vitrectomy is a highly intricate surgical procedure performed during the advanced stages of diabetic retinopathy (DR). It is used to treat conditions such as tractional or combined retinal detachment, vitreous hemorrhage, and sub hyaloid hemorrhage, which are all severe manifestations of proliferative DR. The results of the surgery are unc...
This synthesis examines technology integration frameworks from empirical research published from 2016-2022 on integration of computer technology (CT) into geometry education across grade levels. We conducted article searches through article database, i.e., Google Scholar and ERIC with relevant keywords. Inclusion criteria focused on peer-reviewed e...
Cesarean Section (C-Section) is an operation whereby a baby is brought to the world through a cut made on the abdomen and uterus. The factors that lead to C-Section includes premature rupture of the membranes, having an abnormal fetal heart rate, having previous C-Sections, or previous surgeries on the uterus, human immunodeficiency virus, having u...
This paper introduces the Tezpur University-Mizo Folk Song Database (TU-MFSD) which is created for the purpose of acoustic characterization and analysis of Mizo folk songs. Preliminary acoustic analysis and classification of the collected songs is carried out. The database is collected from different sources, viz., online resources, Art & Culture D...
For assessing seismic vulnerability of any structure, the appropriate choice of Engineering Demand Parameter (EDP) and Intensity Measure (IM) is an absolute necessity, as the resulting fragility functions which form the basis of performance-based earthquake engineering, rely heavily on those selections. Moreover, aleatory uncertainties are consider...
This article reports an action research on Physical activity with music in the school context. The study aimed to design a dynamic proposal for physical activity through the development of healthy habits inclusion with music for children. Data collection included a documental analysis based on grouping, codifying and categorization. Iinitial findin...
Intensity inhomogeneity, a common artefact in brain magnetic resonance imaging, poses challenges in medical image analysis. Intensity inhomogeneity, also known as bias field, occurs in magnetic resonance images due to factors such as magnetic field non-uniformity, radiofrequency coil sensitivity, tissue properties, patient-related factors, scanner...
Introduction
It is not uncommon to repurpose administrative food data to create food environment datasets in the health department and research settings; however, the available administrative data are rarely categorized in a way that supports meaningful insight or action, and ground-truthing or manually reviewing an entire city or neighborhood is r...
Electrical matari requires reasoning skills to accelerate the understanding of concepts. The conflict cognitive strategy has proven to be effective in helping to understand the concept. This study aims to test the practicality of the Conflict Cognitive Digital Module (CCDM) as a learning medium on electrical materials applied in desktop application...
The objective of this study is to identify what actions express the protagonism of international bodies in Brazilian educational management published in media documents, aiming to meet the demands of Pisa results. What followed was the search for the answer to the following question: What are the actions that emphasized the protagonism of internati...
Numerous complex and multi-faceted ethical questions arise from the innovation of neurotechnologies. Addressing these issues effectively requires the involvement of a diverse range of stakeholders, including patients, treatment providers, home users, scientists and engineers from different disciplines, and industry representatives. Different groups...
This paper examines the use of natural language processing (NLP) in data mining for acquiring knowledge from Internet of Things (IoT)-based digital content, emphasizing text categorization's role in information retrieval and knowledge density evaluation. The study identifies biases in tokenization, classification, text tagging, and summarization, n...
The objective of this study is to identify what actions express the protagonism of international bodies in Brazilian educational management published in media documents, aiming to meet the demands of Pisa results. What followed was the search for the answer to the following question: What are the actions that emphasized the protagonism of internati...
Purpose
This study aims to investigate using eyes-open (EO) and eyes-closed (EC) resting-state EEG data to diagnose cognitive impairment using machine learning methods, enhancing timely intervention and cost-effectiveness in dementia research.
Participants and Methods
A total of 890 participants aged 40–90 were included in the study, comprising 26...
Background and Aim: Environmental enrichment (EE) is a pivotal tool for creating ideal housing conditions that allow animals to fully display their ethograms. At the micro-environmental level, they should elicit cognitive and social responses and increase physical activities. Hair steroids may be among the best biomarkers to evaluate the effects of...
Artificial intelligence (AI) has impacted unmanned aerial vehicles (UAVs). Thus, allowing them to perform difficult tasks like domains such as agriculture, logistics, disaster relief, and surveillance with little human intervention. Drones can now carry out many processes such as data collection of data in real time, optimize flight paths, detect o...
Abstract
The aim of this study was to explore and identify why young adults aged between 18 and 30 years in the UK and France do or do not consume dairy products. Several studies have associated dairy products with a healthy diet, and the production of soft dairy, i.e. milk, yoghurt, and soft cheese, as more environmentally friendly than some other...
La sécheresse des années 1970 a eu pour corolaire la prolifération des retenues d'eau à but multiformes dans bon nombre des pays sahéliens. A l'issue de cette belle saison, les politiques de productivité agricole constituent par moment des facteurs limitants sur le rendement agricole. Ce présent article se donne le mérite de s'intéresser au modèle...
Background
As grasslands decline, grassland‐dependent species such as grassland butterflies have experienced widespread population losses. To manage remaining grasslands, prescribed fire, grazing, and haying are common management practices across the Southern Great Plains of the United States. However, the impacts of management and land use intensi...
Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a refined categorization of non-alcoholic fatty liver disease (NAFLD), highlighting the intricate relationship between hepatic steatosis and metabolic dysfunction. Abdominal obesity (AO), a key diagnostic criterion for metabolic dysfunction, predominantly results from inapp...
An increasingly popular subcategory of Artificial Intelligence (AI) is Generative AI (GAI), which encompasses technologies capable of creating new content, such as images, text, and music, often resembling outputs made by humans. The potential impact by GAI on sustainability is multifaceted. On the positive side, generative AI can aid in optimizing...
Values and principles are mentioned in numerous hard law and soft law instruments within the Antarctic Treaty System ( ATS ). However, no provision within any of the ATS instruments fully lists or describes them all. Moreover, their meaning is not elaborated upon or defined, and the relationships between values and principles are also not clearly s...
With vacuity of enough visualization ways, it can be veritably confusing to know what and when should be applicable fashion to use in order to convey maximum possible understanding. The introductory purpose of visual representation is to efficiently interpret what's sapience, as easy as possible. Different available visualization ways are used for...
As the world increasingly embraces renewable energy as a sustainable power source, accurately assessing of solar energy potential becomes paramount. Photovoltaic (PV) systems, especially those integrated into urban rooftops, offer a promising solution to address the challenges posed by aging energy grids and rising fossil fuel prices. However, opti...
Humans across cultures show an outstanding capacity to perceive, learn, and produce musical rhythms. These skills rely on mapping the infinite space of possible rhythmic sensory inputs onto a finite set of internal rhythm categories. What are the brain processes underlying rhythm categorization? We used electroencephalography (EEG) to measure brain...
Tragulids or mouse-deer live in tropical Asia and Africa. They are the sister group of Pecora and have a long fossil record dating back into the Eocene. The extant African species, Hyemoschus aquaticus, is the sister taxon of all other extant tragulids and is therefore often used for comparison with fossil mouse deer. However, although many fossil...
Aim
To determine the real-world treatment patterns and recurrence of cardiovascular-related procedures and hospitalizations in patients at very-high atherosclerotic risk.
Methods
In this retrospective observational study, atherosclerotic cardiovascular disease (ASCVD)-related procedures and hospitalizations, and lipid-lowering therapy (LLT) medica...
Fast food consumption among students is quite high, although they have knowledge about choosing good food, not all students apply it in their food consumption. This study aims to describe the level of knowledge, attitudes and actions of IKK Culinary Arts students at Padang State University in consuming fast food. This type of research is quantitati...
We model stochastic choices with categorization, resulting from the preliminary step of grouping alternatives in homogenous disjoint classes. The agent randomly chooses one class among those available, then randomly picks an item within the selected class. We give a formal definition of a choice generated by this procedure, and provide a characteri...
User ratings for online services can be considered a categorization of the services, forming an initial clustering of them. Online service reputation measurement based on user ratings can be viewed as a further clustering of services based on the users’ categorization. However, current reputation measurement methods do not consider the consistency...
The early Alzheimer’s disease (AD) classification is highly important as this neuro-degenerative disease causes severe problems particularly, loss of memory among the patients. In addition, classifying Normal Control (NC), Mild Cognitive Impairment (MCI) and AD in time assists the patient to undergo treatments in the initial period of the disease....
Retractions play a vital role in maintaining scientific integrity, yet systematic studies of retractions in computer science and other STEM fields remain scarce. We present WithdrarXiv, the first large-scale dataset of withdrawn papers from arXiv, containing over 14,000 papers and their associated retraction comments spanning the repository's entir...
This study contributes to the existing literature dedicated to the empirical classification of homicide offenders. Utilizing an empirical method grounded in the criminal career framework, our aim was to enhance understanding of the diversity of the criminal pathways leading to homicide. We analysed the criminal careers of 5475 individuals convicted...
We investigate how respiration influences cognition by examining the interaction between respiratory phase and task-related brain activity during two visual categorization tasks. While prior research shows that cognitive performance varies along the respiratory cycle, the underlying neurophysiological mechanisms remain poorly understood. Though som...
Abstract:
Background: Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, posing a significant challenge for individuals and society. Early detection and treatment are essential for effective disease management.
Objective:
The objective of this research is to develop a novel and interpretable...
Maximal Extractable Value (MEV) represents a pivotal challenge within the Ethereum ecosystem; it impacts the fairness, security, and efficiency of both Layer 1 (L1) and Layer 2 (L2) networks. MEV arises when miners or validators manipulate transaction ordering (e.g., front-running) to extract additional value, often at the expense of other network...
The rapid development of rural regions, the mountainous landscape, and frequent subtropical-typhoon-related rainfall have collectively contributed to a high incidence of cut slope-induced landslides in the coastal areas of eastern China. Despite the escalating risk, there has been a noticeable absence of comprehensive hazard assessments and targete...
We present a catalogue of photometric redshifts for galaxies from DESI Legacy Imaging Surveys, which includes $\sim0.18$ billion sources covering 14,000 ${\rm deg}^2$. The photometric redshifts, along with their uncertainties, are estimated through galaxy images in three optical bands ($g$, $r$ and $z$) from DESI and two near-infrared bands ($W1$ a...
Traffic Surveillance Systems (TSS) have become increasingly crucial in modern intelligent transportation systems, with vision-based technologies playing a central role for scene perception and understanding. While existing surveys typically focus on isolated aspects of TSS, a comprehensive analysis bridging low-level and high-level perception tasks...
Social, cultural, and political (SCP) symbols in campaigns play vital roles in connecting emotionally with people, representing identity, simplifying complex issues, and reinforcing political ideologies. This study investigates the impact of SCP symbol content on engagement, emotional responses, and trust in electoral process in TikTok-based anti-d...
As urban areas expand rapidly, understanding the complex interactions between human migration, climate change impacts, and biodiversity loss is crucial for effective climate policy. However, comprehensive knowledge of the simultaneous interaction of these aspects is still scarce. Thus, this paper proposes the classification of ‘Climate Emergency Co...
The widespread presence of polycyclic aromatic hydrocarbons (PAHs) and toxic heavy metals in soils is having harmful effects on food crops and the environment. However, the defense mechanisms and capacity of plants to counteract these substances have not been comprehensively explored, necessitating a systematic categorization of their inhibitory ef...
Background
To assess fatigue in cancer patients, several patient-reported outcome measures (PROMs) are available that differ in content. To support the selection of suitable measures for specific applications and to evaluate possibilities of quantitative linking, the present study provides a content comparison of common fatigue measures, scales, an...
Purpose
Pediatric Rhabdomyosarcoma (RMS) is a morbid and often lethal condition characterized by a paucity of clinical data. Beyond a detailed risk categorization system, it is unclear if genitourinary (GU) sites (bladder/prostate, paratesticular, female organs) have outcomes distinct from non-GU sites. This study pools primary data from phase-3 cl...
Kroz konkretne primjere iz arhivske građe u ovom se članku kritički analizira nacionalni pristup povijesnih narativa u sjevernojadranskom prostoru nakon Drugog svjetskog rata te se ukazuje na potrebu transnacionalnog (odnosno anacionalnog) te „isprepletenog“ iščitavanja povijesti (entangled history) pograničnih područja. Upravo se u tim područjima,...
The problems have called for new changes in the banker's ways of operations in the banking industry in Nigeria since its operation is dynamic. We finally see Artificial Intelligence (AI) as an enabler that provides predictive capabilities to complement existing ones in helping banks predict consumers. Therefore, this paper aims to consider the oppo...
This study presents an application of transfer learning for biomedical NLP to ascertain the data sensitivity of data in electronic healthcare records. This work aims to improve the performance of multiclass categorization of biological texts for sensitivity evaluation by combining two distinct feature representation techniques. A variety of potenti...
This research aims to determine the influence of father involvement on the self-esteem of early adult individuals in Karawang Regency. The method used in this research is a quantitative method, with a causality research design. The population in this study were early adults with an age range of 20-40 years according to the research criteria. The sa...
The massive amount of rock-cut monuments along the slopes of the acropolis hill of Philippi in ancient Macedon has received scholarly attention since the first expeditions and following excavation and research campaigns conducted by the French School at Athens in the nineteenth century. The documentation of these peculiar monuments, comprising imag...
Introduction:
Interobserver reliability in interpreting cardiotocographs (CTGs) using traditional categorization into "normal," "suspicious," and "pathological" is typically very low ranging from Kappa 0.3 to 0.6. Physiological CTG interpretation focuses on identifying specific features of different types of fetal hypoxic stress and a combination...
Today, IT organizations largely rely on cloud computing services to meet their infrastructure needs, making it the backbone of the industry. However, several challenges remain that need to be effectively addressed. Data breaches, identity and access management problems, unsafe interfaces and APIs, data loss, shared technology vulnerabilities, compl...
The aim of this study is to evaluate the mob violence and killings of Christians in Yuhanabad, Lahore, in the context of religious intolerance based on the blasphemy allegations resulting in suicide attacks. This article explains the crisis state by looking at Christian victimization. The purpose of this study is to decipher the type of mob violenc...
span lang="EN-US">Localizing and classifying fabric defects is a crucial step in the quality control process used in the production of textiles. Recently, fabric defect classification and detection have made use of deep learning approaches based on anchor selection. But due to in effectiveness in anchor selection, the computational overhead and loc...
The study of traits psychology and ethics reveal a similarity of their bases about personality. The simplest hypothesis is the derivation of traits theory from ethics. In this article, the basis of traits psychology in ethics is analyzed. In this way, the approach of traits in personality is studied. Then, the most important ethical theories such a...
In this study, we address a gap in existing unsupervised domain adaptation approaches on LiDAR-based 3D object detection, which have predominantly concentrated on adapting between established, high-density autonomous driving datasets. We focus on sparser point clouds, capturing scenarios from different perspectives: not just from vehicles on the ro...
span lang="EN-US">This study presents a novel and innovative approach using deep learning (DL) ensemble technique to improve the security of internet of things (IoT) by identifying intricate cyber-attacks. By utilising advanced DL models like deep neural network (DNN) and long short-term memory (LSTM), our approach significantly enhances the accura...
The different types of implicit reviews should be well understood so that the developed extraction technique can solve all problems in implicit reviews and produce precise terms of aspects and opinions. We propose an aspect-based sentiment analysis (ABSA) method with natural language understanding for implicit reviews based on sentence and word str...
This paper examines the underexplored implications of long-term international academic mobility among Turkish academics in the UK, a group not adequately captured by the Black and minority ethnic (BME) category. Within this international context, the study probes how ethnicity, gender, and religion intersect to shape these migrant academics' experi...
Breast cancer, a prevalent kind of cancer, is a major health problem among women. Researchers recently achieved categorization effectiveness of breast cancer (BC) detection in histopathology picture database using convolutional neural networks (CNNs) of medical image processing. Although CNN method parameter settings were complex, employing breast...
The gut microbiota significantly impacts human health, influencing metabolism, immunological responses, and disease prevention. Dysbiosis, or microbial imbalance, is linked to various diseases, including cancer. It is crucial to preserve a healthy microbiome since pathogenic bacteria, such as Escherichia coli and Fusobacterium nucleatum, can cause...