Transformer and Convolutional Neural Network: A Hybrid Model for Multimodal Data in Multiclass Classification of Alzheimer’s Disease by Abdulaziz Alorf

“…An efficient, low-computational model for accurate multiclass classification across all AD stages is needed that can integrate both local and global feature extraction. This study uses rs-fMRI, clinical data, and transformer-based models to classify six AD stages. …”
Get full text

Generative design and its role in developing the design of cans and packaging by Suha Mahmoud Taha, Ali Ghazi Matar

“…The researcher relied on the statistical approach in extracting sample results through... A questionnaire form through which the experience was evaluated. …”
Get full text

Detection of false data injection attacks against power systems using a CNN-LSSVM model by WU Liyan, SUN Kaiyuan, CHEN kun, CEN Haifeng, YE Xiaohui, WANG Xinyu

“…By combining the data spatial feature extraction capabilities of convolutional neural networks （CNN） with the data classification abilities of least squares support vector machine （LSSVM）， this paper develops an attack detection model using CNN-LSSVM. …”
Get full text

Multi-Vehicle Object Recognition Method Based on YOLOv7-W by Xin Liu, Jingbin Zhao, Zhi Zhang, Rongxing Wu, Xun Li

“…This algorithm effectively addresses three key challenges: high vehicle miss detection rates, inadequate perception of small-angle targets, and insufficient feature extraction capabilities. To enhance YOLOv7’s feature extraction abilities, the Global Attention Mechanism (GAM) is integrated into the feature extraction process. …”
Get full text

Community resilience to health emergencies: a scoping review by Eng-Kiong Yeoh, Steve Milanese, Beena E Thomas, Hayley MacGregor, Janine Dizon, Sharon Abramowitz, Nina Gobat, Luisa Enria, Daniel H de Vries, Gisela van Kessel, Doris Burtscher, Rim Kwang, Joao Rangel de Almeida

“…To guide policy and practice, conceptual clarity is needed on what community resilience involves and how it can be operationalised for community protection in ways that empower and strengthen local agency.Objectives To identify the core components of community resilience to health emergencies using a scoping review methodology.Search methods PubMed, EMCARE, Scopus, Web of Science, PTSDpubs, APO and ProQuest Dissertations were systematically searched to identify review studies published from 2014.Selection criteria Studies were included if they reported a review of original research papers investigating community resilience in the context of a health emergency.Data collection and analysis Data were extracted from included studies using a specially developed data extraction form. …”
Get full text

Linguistic functionalism as a basis for the formation of reading literacy by A.N. Rudyakov

“…The functional definition of the text was introduced, thereby making it possible to supplement the educational practice with a methodology of work that takes into account the need to develop students’ skills and abilities associated with the conscious and systematic extraction of information from texts of various kinds and the use of this information in their activities.…”
Get full text

Oxidative Processing Lowers the Ice Nucleation Activity of Birch and Alder Pollen by Ellen Gute, Jonathan P. D. Abbatt

“…Abstract Pollen carry water extractable compounds with ice nucleating (IN) activity. …”
Get full text

Efficacy of individual computer-based auditory training for people with hearing loss: a systematic review of the evidence. by Helen Henshaw, Melanie A Ferguson

“…Data were independently extracted and reviewed by the two authors. Study quality was assessed using ten pre-defined scientific and intervention-specific measures.…”
Get full text

Differential Metabolomic Signatures in Boar Sperm with Varying Liquid Preservation Capacities at 17 °C by Serge L. Kameni, Notsile H. Dlamini, Jean M. Feugang

“…Metabolomic data were collected in positive (ESI+) and negative (ESI−) ion modes using a Vanquish Flex UPLC coupled with a Q Extractive Plus. We consistently detected 442 metabolites (251 in ESI+, 167 in ESI−, and 24 in both) across samples and storage durations. …”
Get full text

Dietary polyphenols reduced the allergenicity of β-lactoglobulin via non-covalent interactions: a study on the structure-allergenicity relationship by Chi Zhang, Qiaozhi Zhang, Huatao Li, Zhouzhou Cheng, Shiyu Fan, Hujun Xie, Zhongshan Gao, Yan Zhang, Linglin Fu

“…The dominant phenolic compounds bound to β-LG with a diminished allergenicity were identified to investigate their respective role on the structural and allergenic properties of β-LG. Extracts from Vaccinium fruits and black soybeans were found to have great inhibitory effects on the IgE-and IgG-binding abilities of β-LG. …”
Get full text

ALGORITHMIC THINKING IN HIGHER EDUCATION: DETERMINING OBSERVABLE AND MEASURABLE CONTENT by Marian Byrka, Andrii Sushchenko, Volodymyr Luchko, Galina Perun, Victoria Luchko

“…The purpose of this study is to identify, clarify, and categorize algorithmic thinking content in observable and measurable knowledge, skills, and abilities statements (KSAs). The study is a mixed-methods type of development research carried out in 4 stages: 1) extraction of the KSA statements from the extant scientific literature related to algorithmic thinking; 2) design of The Algorithmic Thinking Content Survey (ATCS) based on the five steps Universal Sequence of an Algorithm Development (USAD); 3) administration of the ATCS on a wide variety of educational professionals (N = 117); 4) data analysis aimed to obtain the content of algorithmic thinking in observable and measurable KSA statements. …”
Get full text

Exosomes from high-altitude cerebral edema patients induce cognitive dysfunction by altering oxidative stress responses in mice by Qiang Fu, Rui Qiu, Quan Tang, Xiaodong Li, Yaobo Li, Yuxiang Qin, Qiaosheng Li, Jia Yao, Zhongyong Jiang, Huan Xu, Yong Cheng

“…Abstract The impact of exosomes derived from patients with High Altitude Cerebral Edema (HACE) on cognitive function in mice was investigated, along with the underlying mechanisms. Exosomes were extracted from HACE patients and injected into the dentate gyrus (DG) of mice. …”
Get full text

IMAGE SYNTHESIS OF METAL FOAM MICRO-STRUCTURE WITH THE USE OF WANG TILES by Lukáš Zrůbek, Martin Doškář, Anna Kučerová, Marcela Meneses-Guzmán, Francisco Rodríguez-Méndez, Bruno Chiné

“…The used tiles are created by the Automatic tile design method from respective number of small specimens extracted from the original micro-structure image. …”
Get full text

Modeling the spread of forest fires through cellular automata by leveraging deep learning to derive transition rules by Zucheng Zhou, Quanli Xu, Junhua Yi, Youyou Li, Shiying Zhang, Wenhui Li

“…The Transformer model excels in capturing fire-spread patterns owing to its robust feature extraction abilities and capacity to manage long-range dependencies, enabling the automatic generation of CA transition rules that more accurately reflect real fire behavior and ultimately improve the simulation of fire spread. …”
Get full text

Integrating Multiscale Spatial–Spectral Shuffling Convolution With 3-D Lightweight Transformer for Hyperspectral Image Classification by Qinggang Wu, Mengkun He, Qiqiang Chen, Le Sun, Chao Ma

“…The combination of convolutional neural networks and vision transformers has garnered considerable attention in hyperspectral image (HSI) classification due to their abilities to enhance the classification accuracy by concurrently extracting local and global features. …”
Get full text

Surgical Management of Impacted Supernumerary Tooth and Odontome under General Anesthesia in an Emotionally Immature Child: A Case Report by Rasleen Dua, Pallavi Vashisth, N. Sathyajith Naik, Sriparna De

“…Since children’s cognitive abilities are still developing in comparison to adults’, children freely communicate their worry and anxiety and frequently exhibit uncooperative behavior patterns while undergoing treatment. …”
Get full text

Transfer Learning for Induction Motor Health Monitoring: A Brief Review by Prashant Kumar

“…These sophisticated deep learning algorithms have been widely used for induction motor health monitoring due to their autonomous feature extraction abilities and end-to-end learning capabilities. …”
Get full text

Quality of service optimization algorithm based on deep reinforcement learning in software defined network by Cenhuishan LIAO, Junyan CHEN, Guanping LIANG, Xiaolan XIE, Xiaoye LU

“…Deep reinforcement learning has strong abilities of decision-making and generalization and often applies to the quality of service (QoS) optimization in software defined network (SDN).However, traditional deep reinforcement learning algorithms have problems such as slow convergence and instability.An algorithm of quality of service optimization algorithm of based on deep reinforcement learning (AQSDRL) was proposed to solve the QoS problem of SDN in the data center network (DCN) applications.AQSDRL introduces the softmax deep double deterministic policy gradient (SD3) algorithm for model training, and a SumTree-based prioritized empirical replay mechanism was used to optimize the SD3 algorithm.The samples with more significant temporal-difference error (TD-error) were extracted with higher probability to train the neural network, effectively improving the convergence speed and stability of the algorithm.The experimental results show that the proposed AQSDRL effectively reduces the network transmission delay and improves the load balancing performance of the network than the existing deep reinforcement learning algorithms.…”
Get full text

Conv-Ensemble for Solar Power Prediction With First Nations Seasonal Information by Selvarajah Thuseethan, Sandipkumar Gangajaliya, Luke Hamlin, Bharanidharan Shanmugam, Suresh Thennadil

“…Furthermore, a novel Conv-Ensemble framework is proposed, leveraging the high-level feature extraction capabilities of Conv1D layers along with the low-level feature extraction abilities of transformer and LSTM networks. …”
Get full text

Structural characterization and bioactivities of a glucomannan-based polysaccharide (AGP-1) from Arundina graminifolia by Tianhao Dong, Huijuan Wang, Xuemei Lin, Wenzhong Zhao, Kunfa Yang, Fengxi Yang, Genfa Zhu, Jie Gao, Meifeng Liu

“…This work aims to explore and characterize the functional polysaccharide of Arundina graminifolia. The extraction process of the crude Arundina graminifolia polysaccharides (AGP) was optimized using response surface methodology (RSM). …”
Get full text