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41 Results Found

  • Article
  • Open Access
2,763 Views
15 Pages

4 November 2021

Using the prime–probe comparison paradigm, Jacob, Breitmeyer, and Treviño (2013) demonstrated that information processing in visual short-term memory (VSTM) proceeds through three stages: sensory visible persistence (SVP), nonvisible informational pe...

  • Article
  • Open Access
1,182 Views
24 Pages

7 July 2025

Reports of individual differences in vividness of visual mental imagery (VMI) scores raise complex questions: Are Vividness of Visual Imagery Questionnaire (VVIQ) score differences actually measuring anything? What functions do these differences serv...

  • Article
  • Open Access
3 Citations
2,073 Views
9 Pages

How Do Women and Men Look at the Past? Large Scanpath in Women during Autobiographical Retrieval—A Preliminary Study

  • Mohamad El Haj,
  • Claire Boutoleau-Bretonnière,
  • Lina Guerrero Sastoque,
  • Quentin Lenoble,
  • Ahmed A. Moustafa,
  • Guillaume Chapelet,
  • Elisa Sarda and
  • André Ndobo

While research has consistently demonstrated how autobiographical memory triggers visual exploration, prior studies did not investigate gender differences in this domain. We thus compared eye movement between women and men while performing an autobio...

  • Article
  • Open Access
3 Citations
4,651 Views
12 Pages

21 September 2022

Sleep loss is a severe problem in night-shift workers. It causes fatigue and a decrease in awareness that may be counter-acted by exercise. This randomized controlled study of 22 university students investigated the effects of exercise to prevent los...

  • Article
  • Open Access
8 Citations
3,009 Views
15 Pages

Myelin-Weighted Imaging Presents Reduced Apparent Myelin Water in Patients with Alzheimer’s Disease

  • Seung-Hyun Lim,
  • Jiyoon Lee,
  • Sumin Jung,
  • Bokyung Kim,
  • Hak Young Rhee,
  • Se-Hong Oh,
  • Soonchan Park,
  • Ah Rang Cho,
  • Chang-Woo Ryu and
  • Geon-Ho Jahng

The purpose of this study was to investigate myelin loss in both AD and mild cognitive impairment (MCI) patients with a new myelin water mapping technique within reasonable scan time and evaluate the clinical relevance of the apparent myelin water fr...

  • Article
  • Open Access
2,861 Views
16 Pages

Assessing Smooth Pursuit Eye Movements Using Eye-Tracking Technology in Patients with Schizophrenia Under Treatment: A Pilot Study

  • Luis Benigno Contreras-Chávez,
  • Valdemar Emigdio Arce-Guevara,
  • Luis Fernando Guerrero,
  • Alfonso Alba,
  • Miguel G. Ramírez-Elías,
  • Edgar Roman Arce-Santana,
  • Victor Hugo Mendez-Garcia,
  • Jorge Jimenez-Cruz,
  • Anna Maria Maddalena Bianchi and
  • Martin O. Mendez

21 August 2025

Schizophrenia is a complex disorder that affects mental organization and cognitive functions, including concentration and memory. One notable manifestation of cognitive changes in schizophrenia is a diminished ability to scan and perform tasks relate...

  • Article
  • Open Access
2 Citations
1,590 Views
11 Pages

Photoluminescent Microbit Inscripion Inside Dielectric Crystals by Ultrashort Laser Pulses for Archival Applications

  • Sergey Kudryashov,
  • Pavel Danilov,
  • Nikita Smirnov,
  • Evgeny Kuzmin,
  • Alexey Rupasov,
  • Roman Khmelnitsky,
  • George Krasin,
  • Irina Mushkarina and
  • Alexey Gorevoy

24 June 2023

Inscription of embedded photoluminescent microbits inside micromechanically positioned bulk natural diamond, LiF and CaF2 crystals was performed in sub-filamentation (geometrical focusing) regime by 525 nm 0.2 ps laser pulses focused by 0.65 NA micro...

  • Article
  • Open Access
7 Citations
1,003 Views
16 Pages

15 May 2025

This study presents the fabrication and characterization of ZnO–CNT composite-based optoelectronic synaptic devices via a sol–gel process. By incorporating various concentrations of CNTs (0–2.0 wt%) into ZnO thin films, we investiga...

  • Article
  • Open Access
1 Citations
1,315 Views
17 Pages

22 November 2024

Background/Objectives: As a form of visual input, bodily expressions can be maintained and manipulated in visual working memory (VWM) over a short period of time. While the prefrontal cortex (PFC) plays an indispensable role in top-down control, it r...

  • Article
  • Open Access
3 Citations
3,280 Views
14 Pages

Working Memory Maintenance of Visual and Auditory Spatial Information Relies on Supramodal Neural Codes in the Dorsal Frontoparietal Cortex

  • Aurora Rizza,
  • Tiziana Pedale,
  • Serena Mastroberardino,
  • Marta Olivetti Belardinelli,
  • Rob H. J. Van der Lubbe,
  • Charles Spence and
  • Valerio Santangelo

24 January 2024

The frontoparietal attention network plays a pivotal role during working memory (WM) maintenance, especially under high-load conditions. Nevertheless, there is ongoing debate regarding whether this network relies on supramodal or modality-specific ne...

  • Article
  • Open Access
2,401 Views
34 Pages

3 September 2025

Large-scale particle-based fluid simulations present significant computational challenges, particularly in achieving interactive frame rates while maintaining visual quality. Unity3D’s widespread adoption in game development, VR/AR applications...

  • Article
  • Open Access
6 Citations
2,931 Views
15 Pages

13 April 2023

Simultaneous localization and mapping (SLAM) plays a fundamental role in downstream tasks including navigation and planning. However, monocular visual SLAM faces challenges in robust pose estimation and map construction. This study proposes a monocul...

  • Article
  • Open Access
7 Citations
3,445 Views
26 Pages

Multi Modal Feature Extraction for Classification of Vascular Dementia in Post-Stroke Patients Based on EEG Signal

  • Sugondo Hadiyoso,
  • Hasballah Zakaria,
  • Paulus Anam Ong and
  • Tati Latifah Erawati Rajab

8 February 2023

Dementia is a term that represents a set of symptoms that affect the ability of the brain’s cognitive functions related to memory, thinking, behavior, and language. At worst, dementia is often called a major neurocognitive disorder or senile di...

  • Article
  • Open Access
40 Citations
21,073 Views
16 Pages

Acute Effects of Different Multivitamin Mineral Preparations with and without Guaraná on Mood, Cognitive Performance and Functional Brain Activation

  • Andrew Scholey,
  • Isabelle Bauer,
  • Chris Neale,
  • Karen Savage,
  • David Camfield,
  • David White,
  • Silvia Maggini,
  • Andrew Pipingas,
  • Con Stough and
  • Matthew Hughes

13 September 2013

Previous work has identified the positive effects of the acute administration of a multivitamin-guaraná preparation during an effortful executive/working memory task. Here, we aimed to differentiate the effects of multivitamins with and without guara...

  • Article
  • Open Access
11 Citations
3,276 Views
22 Pages

7 October 2021

Background: Early and accurate detection of COVID-19-related findings (such as well-aerated regions, ground-glass opacity, crazy paving and linear opacities, and consolidation in lung computed tomography (CT) scan) is crucial for preventive measures...

  • Article
  • Open Access
1,528 Views
29 Pages

Explainable Deep Ensemble Meta-Learning Framework for Brain Tumor Classification Using MRI Images

  • Shawon Chakrabarty Kakon,
  • Zawad Al Sazid,
  • Ismat Ara Begum,
  • Md Abdus Samad and
  • A. S. M. Sanwar Hosen

30 August 2025

Background: Brain tumors can severely impair neurological function, leading to symptoms such as headaches, memory loss, motor coordination deficits, and visual disturbances. In severe cases, they may cause permanent cognitive damage or become life-th...

  • Article
  • Open Access
2 Citations
1,853 Views
28 Pages

Mamba-STFM: A Mamba-Based Spatiotemporal Fusion Method for Remote Sensing Images

  • Qiyuan Zhang,
  • Xiaodan Zhang,
  • Chen Quan,
  • Tong Zhao,
  • Wei Huo and
  • Yuanchen Huang

21 June 2025

Spatiotemporal fusion techniques can generate remote sensing imagery with high spatial and temporal resolutions, thereby facilitating Earth observation. However, traditional methods are constrained by linear assumptions; generative adversarial networ...

  • Article
  • Open Access
4 Citations
2,309 Views
20 Pages

8 March 2023

The behaviour of the steel bar in concrete under cyclic loading has been evaluated using magnetic flux leakage associated with acoustic emission monitoring technique. Visual observation was used to observe the deformation of the beam under cyclic loa...

  • Article
  • Open Access
2 Citations
3,630 Views
20 Pages

25 April 2023

The surface mesh reconstruction from point clouds has been a fundamental research topic in Computer Vision and Computer Graphics. Recently, the Neural Implicit Representation (NIR)-based reconstruction has revolutionized this research topic. This wor...

  • Article
  • Open Access
14 Citations
4,599 Views
15 Pages

24 October 2018

Most foam core sandwich panels are sensitive to the impact load because of the poor toughness of thin composite face-sheets and the low strength of foam core. Superelastic shape memory alloy (SMA) wires have been applied to enhance the impact damage...

  • Article
  • Open Access
12 Citations
8,212 Views
30 Pages

A Freehand 3D Ultrasound Reconstruction Method Based on Deep Learning

  • Xin Chen,
  • Houjin Chen,
  • Yahui Peng,
  • Liu Liu and
  • Chang Huang

In the medical field, 3D ultrasound reconstruction can visualize the internal structure of patients, which is very important for doctors to carry out correct analyses and diagnoses. Furthermore, medical 3D ultrasound images have been widely used in c...

  • Article
  • Open Access
13 Citations
6,739 Views
12 Pages

COVID-19 Diagnosis from Chest CT Scans: A Weakly Supervised CNN-LSTM Approach

  • Mustafa Kara,
  • Zeynep Öztürk,
  • Sergin Akpek and
  • Ayşegül Turupcu

12 July 2021

Advancements in deep learning and availability of medical imaging data have led to the use of CNN-based architectures in disease diagnostic assisted systems. In spite of the abundant use of reverse transcription-polymerase chain reaction-based tests...

  • Article
  • Open Access
8 Citations
3,851 Views
16 Pages

A Personalized Computer-Aided Diagnosis System for Mild Cognitive Impairment (MCI) Using Structural MRI (sMRI)

  • Fatma El-Zahraa A. El-Gamal,
  • Mohammed Elmogy,
  • Ali Mahmoud,
  • Ahmed Shalaby,
  • Andrew E. Switala,
  • Mohammed Ghazal,
  • Hassan Soliman,
  • Ahmed Atwan,
  • Norah Saleh Alghamdi and
  • Gregory Neal Barnes
  • + 1 author

11 August 2021

Alzheimer’s disease (AD) is a neurodegenerative disorder that targets the central nervous system (CNS). Statistics show that more than five million people in America face this disease. Several factors hinder diagnosis at an early stage, in particular...

  • Article
  • Open Access
1,428 Views
16 Pages

Sound Localization Training and Induced Brain Plasticity: An fMRI Investigation

  • Ranjita Kumari,
  • Sukhan Lee,
  • Pradeep Kumar Anand and
  • Jitae Shin

Background/Objectives: Neuroimaging techniques have been increasingly utilized to explore neuroplasticity induced by various training regimens. Magnetic resonance imaging (MRI) enables to study these changes non-invasively. While visual and motor tra...

  • Article
  • Open Access
5 Citations
5,333 Views
27 Pages

Connecting the Elderly Using VR: A Novel Art-Driven Methodology

  • Makrina Viola Kosti,
  • Maurice Benayoun,
  • Nefeli Georgakopoulou,
  • Sotiris Diplaris,
  • Theodora Pistola,
  • Vasileios-Rafail Xefteris,
  • Athina Tsanousa,
  • Kalliopi Valsamidou,
  • Panagiota Koulali and
  • Yash Shekhawat
  • + 4 authors

6 March 2024

Demographic change confronts us with an ever-increasing number of elderly people who face isolation and socialization issues. Background: The main challenge of this study is to inject emotional and aesthetic aspects into the design process of a virtu...

  • Article
  • Open Access
12 Citations
2,520 Views
15 Pages

A Robust Brain Tumor Detector Using BiLSTM and Mayfly Optimization and Multi-Level Thresholding

  • Rabbia Mahum,
  • Mohamed Sharaf,
  • Haseeb Hassan,
  • Lixin Liang and
  • Bingding Huang

A brain tumor refers to an abnormal growth of cells in the brain that can be either benign or malignant. Oncologists typically use various methods such as blood or visual tests to detect brain tumors, but these approaches can be time-consuming, requi...

  • Article
  • Open Access
21 Citations
5,315 Views
18 Pages

The Low Velocity Impact Response of Shape Memory Alloy Hybrid Polymer Composites

  • Hao Li,
  • Jingbiao Liu,
  • Zhenqing Wang,
  • Zhengwei Yu,
  • Yanfei Liu and
  • Min Sun

14 September 2018

Polymer composites are sensitive to impact loading due to their low impact resistance. Shape memory alloy (SMA) wires have been used to improve the impact resistance of the polymer composite materials because of their unique superelasticity performan...

  • Article
  • Open Access
52 Citations
10,947 Views
30 Pages

Towards On-Board Hyperspectral Satellite Image Segmentation: Understanding Robustness of Deep Learning through Simulating Acquisition Conditions

  • Jakub Nalepa,
  • Michal Myller,
  • Marcin Cwiek,
  • Lukasz Zak,
  • Tomasz Lakota,
  • Lukasz Tulczyjew and
  • Michal Kawulok

15 April 2021

Although hyperspectral images capture very detailed information about the scanned objects, their efficient analysis, transfer, and storage are still important practical challenges due to their large volume. Classifying and segmenting such imagery are...

  • Case Report
  • Open Access
5 Citations
5,048 Views
12 Pages

Depressive Pseudodementia with Reversible AD-like Brain Hypometabolism: A Case Report and a Review of the Literature

  • Federico Emanuele Pozzi,
  • Daniele Licciardo,
  • Monica Musarra,
  • Lorenzo Jonghi-Lavarini,
  • Cinzia Crivellaro,
  • Gianpaolo Basso,
  • Ildebrando Appollonio and
  • Carlo Ferrarese

6 October 2022

Recent European guidelines recommend using brain FDG-PET to differentiate between Alzheimer’s disease (AD) and depressive pseudodementia (DP), with specific hypometabolism patterns across the former group, and typically normal or frontal hypome...

  • Article
  • Open Access
16 Citations
5,681 Views
20 Pages

Brain Tumors in NF1 Children: Influence on Neurocognitive and Behavioral Outcome

  • Matilde Taddei,
  • Alessandra Erbetta,
  • Silvia Esposito,
  • Veronica Saletti,
  • Sara Bulgheroni and
  • Daria Riva

11 November 2019

Neurofibromatosis type-1 (NF1) is a monogenic tumor-predisposition syndrome creating a wide variety of cognitive and behavioral abnormalities, such as decrease in cognitive functioning, deficits in visuospatial processing, attention, and social funct...

  • Article
  • Open Access
33 Citations
4,545 Views
22 Pages

10 November 2020

Cognitive fatigue is common and debilitating among persons with multiple sclerosis (pwMS). Neural mechanisms underlying fatigue are not well understood, which results in lack of adequate treatment. The current study examined cognitive fatigue-related...

  • Article
  • Open Access
103 Citations
12,073 Views
21 Pages

1 October 2020

In this paper, we present our system for the RSNA Intracranial Hemorrhage Detection challenge, which is based on the RSNA 2019 Brain CT Hemorrhage dataset. The proposed system is based on a lightweight deep neural network architecture composed of a c...

  • Article
  • Open Access
1,181 Views
13 Pages

The field of underwater image processing has gained significant attention recently, offering great potential for enhanced exploration of underwater environments, including applications such as underwater terrain scanning and autonomous underwater veh...

  • Article
  • Open Access
254 Views
20 Pages

Charting Early Brain Plasticity in Radiological Training: Functional Brain Reorganization During Early Radiological Expertise Acquisition

  • Weilu Chai,
  • Yuxin Bai,
  • Jia Wu,
  • Hongmei Wang,
  • Jimin Liang,
  • Xuemei Xie,
  • Chenwang Jin and
  • Minghao Dong

28 November 2025

Background/Objectives: Radiological expertise draws on semantic knowledge and perceptual–cognitive mechanisms that support diagnostic reasoning. Early radiological training is a formative period when key cognitive processes begin to integrate....

  • Article
  • Open Access
3 Citations
3,309 Views
32 Pages

17 January 2025

Since the late 2000s, numerous studies have focused on the application of Heritage Building Information Modelling (HBIM) processes and technologies for the documentation of the historic built environment. Many of these studies have focused on the use...

  • Article
  • Open Access
3 Citations
869 Views
22 Pages

11 August 2025

Carboxymethyl cellulose (CMC) films, derived from sugarcane bagasse agricultural waste (SCB) incorporated with Betalains-nitrogen-doped carbon dots (Betalains-N–CQDs), derived from beet root waste (BR), offer a sustainable, smart and naked-eye...

  • Article
  • Open Access
833 Views
28 Pages

29 April 2025

Background/Objectives: The present study aimed to investigate letter processing in children with dyslexia and typically developing readers as a function of the type of orthographic context. Methods and Results: In Experiment 1A, children performed a...

  • Article
  • Open Access
1 Citations
1,661 Views
16 Pages

Transforming 3D MRI to 2D Feature Maps Using Pre-Trained Models for Diagnosis of Attention Deficit Hyperactivity Disorder

  • Elahe Hosseini,
  • Seyyed Ali Hosseini,
  • Stijn Servaes,
  • Brandon Hall,
  • Pedro Rosa-Neto,
  • Ali-Reza Moradi,
  • Ajay Kumar,
  • Mir Mohsen Pedram and
  • Sanjeev Chawla

Background: According to the World Health Organization (WHO), approximately 5% of children and 2.5% of adults suffer from attention deficit hyperactivity disorder (ADHD). This disorder can have significant negative consequences on people’s live...

  • Article
  • Open Access
1,360 Views
32 Pages

A Hybrid Convolutional Neural Network–Long Short-Term Memory (CNN–LSTM)–Attention Model Architecture for Precise Medical Image Analysis and Disease Diagnosis

  • Md. Tanvir Hayat,
  • Yazan M. Allawi,
  • Wasan Alamro,
  • Salman Md Sultan,
  • Ahmad Abadleh,
  • Hunseok Kang and
  • Aymen I. Zreikat

23 October 2025

Background: Deep learning (DL)-based medical image classification is becoming increasingly reliable, enabling physicians to make faster and more accurate decisions in diagnosis and treatment. A plethora of algorithms have been developed to classify a...

  • Article
  • Open Access
2 Citations
3,199 Views
19 Pages

24 April 2024

Background: Anterior cruciate ligament (ACL) tears account for 40% to 50% of all ligamentous knee injuries. Most patients with ACL ruptures undergo surgical treatment. There is currently no objective, well-documented, repeatable, and standardized non...

  • Article
  • Open Access
2,190 Views
14 Pages

Background: The majority of previous studies showed that older adults with mild cognitive impairment (MCI) as well as Alzheimer’s disease dementia (ADD) had impaired cognition and mood status, as well as increased behavioral disturbances after...