Cross-Modal Augmented Transformer for Automated Medical Report Generation by Yuhao Tang, Ye Yuan, Fei Tao, Minghao Tang

“…Unlike previous methods that rely on coarse-grained features without human intervention, our method introduces a “locate then generate” pattern, thereby improving the interpretability of the generated reports. …”
Get full text

Dynamic changes in betanin content during the growing season of table beet: their interplay with abiotic factors by D. V. Sokolova

“…Recommendations are given concerning the choice of a planting pattern and the timing of table beet harvesting for pigment extraction.…”
Get full text

Analysis of clinical and microbiological characteristics of invasive Klebsiella pneumoniae liver abscess syndrome by Li Gu, Yue Wang, Han Wang, Dong Xu

“…There were no significant differences in microbiological characteristics between IKPLAS and NIKPLAS, including the antimicrobial susceptibility pattern and resistance profile of Klebsiella pneumoniae (KP) (all p > 0.05). …”
Get full text

A review of the FIVA project: Novel windows employing vacuum glazing products by Ulrich J. Pont, Peter Schober, Magdalena Wölzl, Matthias Schuss, Jakob Haberl

“…Four different designs were developed that not only integrated vacuum glass products, but also featured unusual opening patterns, the latest generation of electrically driven fitting products, and specific seals. …”
Get full text

Self-Adaptive Deep Learning Framework for Non-Intrusive Load Monitoring: Addressing Aging Appliance Challenges With Transfer Learning and Pseudo Labeling by W. A. Yasodya, S. M. L. Arampola, M. S. K. Nisakya, V. Logeeshan, S. Kumarawadu, Chathura Wanigasekara

“…Unlike traditional NILM models, this approach incorporates a unique self-adaptive feature that enables the model to automatically adapt to changing power patterns resulting from aging appliances. …”
Get full text

Applications of gene pair methods in clinical research: advancing precision medicine by Changchun Wu, Xueqin Xie, Xin Yang, Mengze Du, Hao Lin, Jian Huang

“…To bridge methodological development with practical implementation, we establish a reproducible analytical pipeline incorporating feature selection, classifier construction, and model evaluation modules using real-world benchmark datasets from pulmonary tuberculosis studies. …”
Get full text

FUNCTIONAL ASSESSMENT OF MASTICATORY MUSCLES IN ADAPTATION TO COMPLETE REMOVABLE PROSTHESES by S. A. Shemetov, I. M. Martynenko, R.V. Petrenko, N.A. Ryabushko

“…No complaints on the pain while chewing even enough solid food, good fixation and stabilization of prostheses, phonetics recovery suggest the establishment of a new functional level of dental system, the development of a consistent pattern of chewing. Objective electromyographic evaluation of the quality of prosthetics has confirmed the validity of subjective tests. …”
Get full text

Classification of Toraja Wood Carving Motif Images Using Convolutional Neural Network (CNN) by Nurilmiyanti Wardhani, Billy Eden William Asrul, Antonius Riman Tampang, Sitti Zuhriyah, Abdul Latief Arda

“…By understanding the meaning of each Toraja carving, both tourists and the local community can gain knowledge about Toraja culture, thereby preserving and maintaining the culture amidst modern developments. Image processing approaches, particularly the development of Convolutional Neural Networks (CNN), offer a solution for extracting information from the diverse and intricate patterns of Toraja wood carvings. …”
Get full text

Machine learning-based prognostic model for bloodstream infections in hematological malignancies using Th1/Th2 cytokines by Qin Li, Nan Lin, Zuheng Wang, Yuexi Chen, Yuli Xie, Xuemei Wang, Jirui Tang, Yuling Xu, Min Xu, Na Lu, Yiqian Huang, Jiamin Luo, Zhenfang Liu, Li Jing

“…This study aimed to analyze pathogen distribution, drug-resistance patterns and develop a novel predictive model for 30-day mortality in HM patients with BSIs. …”
Get full text

An artificial intelligence approach to palaeogeographic studies: a case study of the Late Ordovician brachiopods of Laurentia by Akbar Sohrabi

“…Artificial intelligence has the ability to learn from any pattern between a set of input and output data and involves various techniques including neural networks. …”
Get full text

The m6A modification of LINC01133 suppresses ER+ breast cancer progression by modulating IGF2BP2 protein stability via a ubiquitination-dependent mechanism by Mai-dong Li, Mai-dong Li, Ben-jie Shan, Lei Wang, Shuang Gao, Li Hao, Hai-yang Yu, Yue-yin Pan, Yue-yin Pan

“…BackgroundBreast cancer is characterized as highly heterogenous and is a representative model to understand how molecular features of tumor biology determine therapeutic strategy. …”
Get full text

Anaesthetic profile of thymol and menthol in zebrafish larvae model by Raquel S.F. Vieira, Diana Sousa, Luís M. Félix, Carlos A.S. Venâncio

“…Both monoterpenes caused anaesthetic effects in a concentration-dependent manner, with concentrations of 200 mg/L exhibiting a similar profile to MS-222 and eugenol, as evidenced by the increased recovery times.Furthermore, anaesthesia with thymol and menthol caused post-anaesthesia motor pattern abnormalities, which supported some indicators of stress. …”
Get full text

A depth-wise separable VGG19-capsule network for enhanced bell pepper and grape leaf disease classification with ensemble activation by Midhun P Mathew, Sudheep Elayidom, Jagathy Raj V P, Abubeker K M

“…A hybrid architecture combining VGG19 and CapsNet, using Depth Wise Separable Convolution (DWSC) and batch renormalization with a dropout rate of 0.4, a learning rate of 0.001, and a batch size of 9, successfully captures complex patterns for categorizing diseases in bell pepper and grape plants. …”
Get full text

Diagnosis and management of endometrial hyperplasia: A UK national audit of adherence to national guidance 2012-2020. by Ian Henderson, Naomi Black, Hajra Khattak, UKARCOG Working Group Authors, Janesh K Gupta, Michael P Rimmer

“…We aimed to describe the care of patients with EH; to compare the patterns of care for those with EH with national guidance to identify opportunities for quality improvement; and to compare patterns of care prior to and following the introduction of national guidance to understand its impact.…”
Get full text

A Smartphone-Based Non-Destructive Multimodal Deep Learning Approach Using pH-Sensitive Pitaya Peel Films for Real-Time Fish Freshness Detection by Yixuan Pan, Yujie Wang, Yuzhe Zhou, Jiacheng Zhou, Manxi Chen, Dongling Liu, Feier Li, Can Liu, Mingwan Zeng, Dongjing Jiang, Xiangyang Yuan, Hejun Wu

“…Based on the lightweight MobileNetV2 network, a Multi-scale Dilated Fusion Attention module (MDFA) was designed to enhance the robustness of color feature extraction. A Temporal Convolutional Network (TCN) was then used to model dynamic patterns in chemical indicators across spoilage stages, combined with a Context-Aware Gated Fusion (CAG-Fusion) mechanism to adaptively integrate image and chemical temporal features. …”
Get full text

Transumbilical single-site laparoscopic resection of splenic papillary angioendothelioma in a pediatric patient: a rare case report and review of literature by Meng Kong, Meng Kong, Qingfei Zhai, Shisong Zhang, Shisong Zhang, Hongzhen Liu, Hongzhen Liu, Yuexia Bai, Shuai Chen, Shuai Chen, Jinhua Jia, Jinhua Jia, Dong Wang, Xiang Ma

“…In the past half year, there has been no obvious growth and development delay, nor have there been any significant changes in diet or weight. …”
Get full text

Design of Intrusion Detection and Response Mechanism for Power Grid SCADA Based on Improved LSTM and FNN by Yu Huang, Liangyuan Su

“…The current behavior pattern extraction methods in intrusion detection systems cannot fully extract information. …”
Get full text

Optimizing Personalized and Context-Aware Recommendations in Pervasive Computing Environments by A. C. Kaladevi, V. Vinoth Kumar, T. R. Mahesh, Suresh Guluwadi

“…Though various recommendation techniques exist, there is a need to develop a unique technique for capturing latent factors and patterns from sparse and high-dimensional data in pervasive environments, specifically for optimizing dynamic recommendations. …”
Get full text

Remote Sensing Identification of Major Crops and Trade-Off of Water and Land Utilization of Oasis in Altay Prefecture by Gaowei Yan, Luguang Jiang, Ye Liu

“…Within this fragile balance lies a critical opportunity: efficient water resource management could pave the way for sustainable development across the entire arid oasis regions. This study uses a decision tree model based on a feature threshold to map the spatial distribution of major crops in the Altay Prefecture oasis, assess their water requirements, and identify the coupling relationships between agricultural water and land resources. …”
Get full text

MEN: leveraging explainable multimodal encoding network for precision prediction of CYP450 inhibitors by Abena Achiaa Atwereboannah, Wei-Ping Wu, Mugahed A. Al-antari, Sophyani B. Yussif, Chukwuebuka J. Ejiyi, Edwin K. Tenagyei, Grace-Mercure B. Kissanga, Gyarteng S. A. Emmanuel, Yeong Hyeon Gu, Emmanuel Ahene

“…Specifically, the Fingerprint Encoder Network (FEN) processes molecular fingerprints, the Graph Encoder Network (GEN) extracts structural features from graph-based representations, and the Protein Encoder Network (PEN) captures sequential patterns from protein sequences. …”
Get full text