Efficient Segmentation Using Attention-Fusion Modules With Dense Predictions by Serdar Erisen

“…Dense predictions are deployed to augment the efficacy of dense-attention-boosting modules and dense-attention-fusion networks, enabling the extraction of global context feature maps in the encoder. This approach also enhances the performance of state-of-the-art segmentation networks, addressing the challenges issued by foundation models like InternImage. …”
Get full text

Learning Omni-Dimensional Spatio-Temporal Dependencies for Millimeter-Wave Radar Perception by Hang Yan, Yongji Li, Luping Wang, Shichao Chen

“…This paper rethinks the approach to modeling radar signals and proposes a novel U-shaped multilayer perceptron network (U-MLPNet) that aims to enhance the learning of omni-dimensional spatio-temporal dependencies. …”
Get full text

Diagnosis and classification of neuromuscular disorders using Bi-LSTM optimized with grey Wolf optimizer for EMG signals by Ruth Keziah Mani, Balakrishnan Nagaraj

“…Deep learning automates the process, reducing the dependency on manual feature extraction. However, the performance of these models is heavily influenced by hyperparameters such as the number of neurons, hidden layers, and learning rates. …”
Get full text

Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis by Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Adetokunbo Arogbonlo, Siamak Pedrammehr, Adnan Anwar, Hailing Zhou, Lei Wei, Asim Bhatti, Sam Oladazimi, Burhan Khan, Saeid Nahavandi

“…The primary objective is to assess how incorporating LSTM layers enhances the performance of CNNs. The experimental results presented in this paper demonstrate that the integration of LSTM layers with convolutional layers results in an increase in the accuracy of deep learning models from 97.40% to 97.92%.…”
Get full text

Predicting a diagnosis of ankylosing spondylitis using primary care health records-A machine learning approach. by Jonathan Kennedy, Natasha Kennedy, Roxanne Cooksey, Ernest Choy, Stefan Siebert, Muhammad Rahman, Sinead Brophy

“…Data was analysed separately for men and women. The model was developed using feature/variable selection and principal component analysis to develop decision trees. …”
Get full text

Strain Rate-Dependent Constitutive and Low Stress Triaxiality Fracture Behavior Investigation of 6005 Al Alloy by Yong Peng, Xuanzhen Chen, Shan Peng, Chao Chen, Jiahao Li, Guowei Liu

“…Error analysis for the modified JC model indicates that the model exhibits higher accuracy than the original one in predicting the flow stress at different strain rates. …”
Get full text

Perirenal fat as a potential marker and therapeutic target for metabolic syndrome: insights from a multicenter randomized controlled trial by Yang Hua, Meng-Huan Li, Meng-Huan Li, Yu-Xuan Lou, Ke-Rui Zhang, Jia-Ming Yang, Yan-Hui Sheng, Yu-Qing Zhang, Chuan-li Cheng, Chao Zou, Ting-ting Wu, Xiang-Qing Kong, Xiang-Qing Kong, Wei Sun, Wei Sun

“…Adjusted multivariable regression models were employed to investigate the relationship of PrFV with MetS. …”
Get full text

Polycystic ovary syndrome and excessive body weight impact independently and synergically on fertility treatment outcomes by Emídio Vale-Fernandes, Mafalda V. Moreira, Raquel L. Bernardino, Daniela Sousa, Raquel Brandão, Carla Leal, Márcia Barreiro, Mariana P. Monteiro

“…A multivariate analysis was performed to determine the independent effects of PCOS and obesity for reproductive and metabolic parameters. …”
Get full text

AI-Powered Forecasting of Environmental Impacts and Construction Costs to Enhance Project Management in Highway Projects by Joon-Soo Kim

“…Dimensionality reduction via autoencoder retained 16 core variables, preserving 97% of explanatory power while minimizing redundancy. ANN models benefited from cross-validation and hyperparameter tuning, achieving consistent performance across training and validation sets without overfitting (MSE = 0.06, RMSE = 0.24). …”
Get full text

Cell damage shifts the microRNA content of small extracellular vesicles into a Toll-like receptor 7-activating cargo capable to propagate inflammation and immunity by Valentina Salvi, Carolina Gaudenzi, Barbara Mariotti, Gaia Giongrandi, Silvia Alacqua, Veronica Gianello, Tiziana Schioppa, Laura Tiberio, Angela Ceribelli, Carlo Selmi, Paolo Bergese, Stefano Calza, Annalisa Del Prete, Silvano Sozzani, Flavia Bazzoni, Daniela Bosisio

“…Psoriasis represents an ideal model to test such hypothesis as it is driven by overt activation of TLR7-expressing plasmacytoid dendritic cells (pDCs) following keratinocyte damage. …”
Get full text

EXPERIMENTAL STUDY OF FURCATION AREA AND PROSPECTS OF ITS COMPLEX TREATMENT by Yu.V. Sidash, O.P. Kostyrenko, V.N. Petrushanko

“…Therefore, the experimental model of using 2% methylene blue photosensitizer at a 30 s. exposure for photodynamic therapy and citrate buffer for obturating furcation and root canals can be applied in the treatment of patients with chronic apical periodontitis and lesions of the furcation area. …”
Get full text

The joint role of the immune microenvironment and N7-methylguanosine for prognosis prediction and targeted therapy in acute myeloid leukemia by Zhixiang Chen, Zhixiang Chen, Zhimei Chen, Xiaobo Huang, Xiaobo Huang, Xiaobo Huang, Xiongbin Yan, Xiongbin Yan, Xiaolin Lai, Xiaolin Lai, Shaoyuan Wang, Shaoyuan Wang

“…This study aims to establish an IME-related and m7G-related prognostic model for improved risk stratification and personalized treatment in AML.MethodsImmune score for the Cancer Genome Atlas acute myeloid leukemia (AML) patients were calculated using the ESTIMATE algorithm, followed by identification of immune score-associated differentially expressed genes Non-negative matrix factorization (NMF) clustering was performed to stratify AML subtypes based on immune microenvironment (immune microenvironment)-related DEGs and 29 m7G regulatory genes. …”
Get full text

Severity of native pulmonary annular hypoplasia and late outcomes of tetralogy of Fallot: retrospective cohort study by Tugba Erdil, Klaus Steigmiller, John Ethan Rampa, Martin Christmann, Ulrike Held, Hitendu Dave

“… OBJECTIVE: Pulmonary annular hypoplasia and valvar dysplasia are key morphological features affecting long-term outcomes of tetralogy of Fallot. …”
Get full text

ACGNet: An Alternating Conjugate Gradient Optimization-Based Neural Network for SAR Image Despeckling by Xin Mao, Ying Liu, Chenghao Qiu, Cong Lin

“…Current deep-learning-based denoising methods mainly rely on global noise models or local feature learning, but these methods often fail to achieve a balance between noise suppression and detail preservation. …”
Get full text

Geometrically aware transformer for point cloud analysis by Siyuan Chen, Zhiwei Fang, Siyao Wan, Ting Zhou, Chunlin Chen, Meng Wang, Qianming Li

“…Second, a trigonometric position encoding suitable for point clouds is designed, which effectively enhances the expressive capability of positional information and performs preliminary feature extraction through pooling layers, significantly improving the model’s robustness across various tasks. …”
Get full text

Analysis of guideway dynamic response induced by accelerations in medium- and low-speed maglev systems by WEI Gaoheng

“…Dynamic simulations were performed based on the model. Furthermore, field experiments were conducted on the selected line. …”
Get full text

Monitoring Moso bamboo (Phyllostachys pubescens) forests damage caused by Pantana phyllostachysae Chao considering phenological differences between on-year and off-year using UAV h... by Anqi He, Zhanghua Xu, Yifan Li, Bin Li, Xuying Huang, Huafeng Zhang, Xiaoyu Guo, Zenglu Li

“…The results demonstrate that classical machine learning and deep learning models can effectively detect P. phyllostachysae damage, with the 1D-CNN algorithm achieving the best performance. …”
Get full text

‘World Will Never Be Same’: Phraseologisms during Coronavirus Pandemic by O. E. Chernova, A. A. Osipova, N. V. Pozdnyakova

“…Phrasemes are combined by the authors into thematic groups: 1) remote work and study, 2) administrative measures to combat coronavirus, 3) features of a new disease and its treatment. It is shown that in the texts of mass communication Phrasemes perform nominative, communicative and pragmatic functions. …”
Get full text

Neurophysiological evidence of human hippocampal longitudinal differentiation in associative memory by Tung V. To, David X. Wang, Cody B. Wolfe, Bradley C. Lega

“…We place our findings in the context of existing models, adding to sparse literature using direct brain recordings to explicate the functional differentiation along the hippocampal longitudinal axis in humans.…”
Get full text

Pedagogical Dominant of Renaissance Reflective Discourse: Michel Montaigne’s Concept of Developmental Teaching and Education by V. A. Rayskina

“…For the first time, the modeling of the author’s pedagogical doctrine from the standpoint of its conceptual and value expression has been performed. …”
Get full text