Sustainable Agriculture: The Role of Biostimulants in Enhancing Crop Growth and Resilience by Hasddin Hasddin, , Ulyasniati , Ulyasniati

“…Azospirillum, Rhizobium, and Bacillus biostimulants fix nitrogen and solubilize phosphorus, whereas seaweed extracts and protein hydrolysates modulate hormone activity and photosynthesis. Humic compounds modulate gene expression and activate antioxidant pathways to improve soil fertility and stress tolerance. …”
Get full text

Transduction, Calibration, and the Penetrability of Pain by Colin Klein

“…I review some of the known mechanisms for top-down modulation of pain, and suggest that it reveals an issue with a relatively neglected part of the cognitive penetrability literature. …”
Get full text

Nanotechnology in Cancer Treatment: Innovative Approaches to Overcoming Drug Resistance in Tumors by Kirolos Eskandar

“…By penetrating biological barriers and modulating the tumor microenvironment, nanocarriers enhance the efficacy of anticancer agents while minimizing side effects. …”
Get full text

Metabolism by Suhr F

Get full text

Exploration and practice of human-machine trustworthy mechanism in XAI by LUO Zhongyan, XIA Zhengxun, TANG Jianfei, YANG Yifan, YANG Hongshan, LI Haohua, ZHANG Yan

“…Artificial Intelligence (AI) has made significant progress in various industries, but the black-box issue, potential risks, and the resulting user trust crisis have limited its further promotion and application. …”
Get full text

Exploration and practice of human-machine trustworthy mechanism in XAI by LUO Zhongyan, XIA Zhengxun, TANG Jianfei, YANG Yifan, YANG Hongshan, LI Haohua, ZHANG Yan

“…Artificial Intelligence (AI) has made significant progress in various industries, but the black-box issue, potential risks, and the resulting user trust crisis have limited its further promotion and application. …”
Get full text

Architecture in Everyday Life by Ricardo Agarez, Nelson Mota

“…In this introduction we look at the ‘bread-and-butter’ side of the architecture profession and at how it has modulated throughout time, highlighting the ways in which the exceptional set of articles that make up this issue of Footprint substantially extend the scope and reach of our ‘bread-and-butter’ activities.…”
Get full text

PCOS and Inositols – Advances and Lessons We are Learning. A Narrative Review by Lentini G, Querqui A, Monti N, Bizzarri M

“…Adequate adsorption of Inositol is a critical issue, and the association of α-Lactalbumin can significantly overcome this problem. …”
Get full text

Coalmine image super-resolution reconstruction via fusing multi-dimensional feature and residual attention network by Jian CHENG, Lifei MI, Hao LI, Heping LI, Guangfu WANG, Yongzhuang MA

“…Finally, the basic unit of deep feature extraction is constructed based on the standard multi-head self-attention mechanism and residual connection, with the obtained feature information and shallow features jointly input into the reconstruction module via skip connections to complete super-resolution reconstruction of coalmine images. …”
Get full text

Red Tide Detection Method Based on a Time Series Fusion Network Model: A Case Study of GOCI Data in the East China Sea by Tianhong Ding, Zhiqiang Xu, Yunjie Wang, Qinglian Hou, Xiangyong Liu, Fengshuang Ma

“…A novel feature extraction module, ASPC-DSC, combines atrous spatial pyramid convolution with depthwise separable convolution to effectively fuse multi-scale contextual features while improving computational efficiency. …”
Get full text

Application of the program for artificial intelligence analytics of paper text and segmentation by specified parameters in clinical practice by A. A. Komkov, V. P. Mazaev, S. V. Ryazanova, A. A. Kobak, E. V. Bazaeva, D. N. Samochatov, E. V. Koshkina, Е. V. Bushueva, O. M. Drapkina

“…The development of novel technologies using elements of artificial intelligence (AI) in medicine is addressed to practical clinical implementation and provision of key issues, including improvement in the use of routine clinical data, aimed at practical relevance, standardization, confidentiality and patient safety.Aim. …”
Get full text

Cross-Scale Feature Blending Model for Surface Defect Identification in Machine Tool Elements Resilient to Contaminant Interference by Dong Wu, Chunhua Guo, Renpu Li, Zhigang Ma

“…This framework, inspired by the fundamental U-Net architecture, is developed with three crucial modules: the Nonlinear Activation-Free (NAF) block, the Feature Blending Block(FBB), and the Focused Linear Attention (FLA) module. …”
Get full text

Optimization Design and Test Analysis of Rice Electric Binder Knotter Based on ADAMS by Difa Bao, Jufei Wang, Zhi Liang, Chongcheng Chen, Wuxiong Weng, Shuhe Zheng, Jinbo Ren

“…At present, rice binders still face the issues of a low bundling efficiency and quality, which affect the progress of rice harvesting during the harvest season. …”
Get full text

A Novel Dual-Modal Deep Learning Network for Soil Salinization Mapping in the Keriya Oasis Using GF-3 and Sentinel-2 Imagery by Ilyas Nurmemet, Yang Xiang, Aihepa Aihaiti, Yu Qin, Yilizhati Aili, Hengrui Tang, Ling Li

“…DMSSNet incorporates self-attention mechanisms and a Convolutional Block Attention Module (CBAM) within a hierarchical fusion framework, enabling the model to capture both intra-modal and cross-modal dependencies and to improve spatial feature representation. …”
Get full text

Attention residual network for medical ultrasound image segmentation by Honghua Liu, Peiqin Zhang, Jiamin Hu, Yini Huang, Shanshan Zuo, Lu Li, Mailan Liu, Chang She

“…Additionally, a spatial hybrid convolution module is integrated to augment the model’s ability to extract global information and deepen the vertical architecture of the network. …”
Get full text

TongueNet: a multi-modal fusion and multi-label classification model for traditional Chinese Medicine tongue diagnosis by Lijuan Yang, Lijuan Yang, Qiumei Dong, Da Lin, Xinliang Lü

“…The model utilizes a Hierarchical Aggregation Network (HAN) and a Feature Space Projection Module to efficiently extract and fuse features while introducing consistency and complementarity constraints to optimize multimodal information fusion. …”
Get full text

An interpretable physics-informed deep learning model for estimating multiple air pollutants by Binjie Chen, Jiacong Hu, Yumiao Wang, Tian Feng, Weiwei Sun, Zunlei Feng, Gang Yang, Huiqiong Wang

“…Moreover, widely applied machine learning models have demonstrated a lack of interpretability and a weak physical basis. To address these issues, this study developed an interpretable physics-informed deep neural network to estimate multiple air pollutants simultaneously (IPMDNN). …”
Get full text

Agent-Based Intelligent Fuzzy Traffic Signal Control System for Multiple Road Intersection Systems by Tamrat D. Chala, László T. Kóczy

“…This emergent feature suggests that fuzzy controllers have the potential to evolve and adapt to traffic complexity issues in urban environments when operating in an autonomous agent-based mode. …”
Get full text

Automated detection of diabetic retinopathy lesions in ultra-widefield fundus images using an attention-augmented YOLOv8 framework by Lei-Si Hu, Jie Wang, Heng-Ming Zhang, Hai-Yu Huang

“…ObjectiveTo enhance the automatic detection precision of diabetic retinopathy (DR) lesions, this study introduces an improved YOLOv8 model specifically designed for the precise identification of DR lesions.MethodThis study integrated two attention mechanisms, convolutional exponential moving average (convEMA) and convolutional simple attention module (convSimAM), into the backbone of the YOLOv8 model. …”
Get full text

The improvement programs for preparation general practitioners on rendering urgent medical aid by V. O. Vishnevskyi

“…A final form of control of knowledge is module control on a traumatology and military field surgery, that must be plugged in state examinations, which includes test control, check of practical skills and interview. …”
Get full text