Phytohormones involved in vascular cambium activity in woods: current progress and future challenges by Wenjing Ding, Wenjing Ding, Wenjing Ding, Wenjing Ding, Wenjing Ding, Chencan Wang, Chencan Wang, Chencan Wang, Chencan Wang, Chencan Wang, Chencan Wang, Man Mei, Man Mei, Man Mei, Man Mei, Man Mei, Xiaoxu Li, Xiaoxu Li, Xiaoxu Li, Xiaoxu Li, Xiaoxu Li, Yuqian Zhang, Yuqian Zhang, Yuqian Zhang, Yuqian Zhang, Yuqian Zhang, Hongxia Lin, Hongxia Lin, Hongxia Lin, Hongxia Lin, Hongxia Lin, Yang Li, Yang Li, Zhiqiang Ma, Zhiqiang Ma, Jianwei Han, Jianwei Han, Xiaoxia Song, Xiaoxia Song, Minjie Wu, Minjie Wu, Caixia Zheng, Caixia Zheng, Caixia Zheng, Caixia Zheng, Caixia Zheng, Jinxing Lin, Jinxing Lin, Jinxing Lin, Jinxing Lin, Jinxing Lin, Yuanyuan Zhao, Yuanyuan Zhao, Yuanyuan Zhao, Yuanyuan Zhao, Yuanyuan Zhao

Get full text

CAFiKS: Communication-Aware Federated IDS With Knowledge Sharing for Secure IoT Connectivity by Ogobuchi Daniel Okey, Demostenes Zegarra Rodriguez, Frederico Gadelha Guimaraes, Joao Henrique Kleinschmidt

“…Federated learning has recently gained significant attention as a method for building machine learning models due to its ability to preserve data privacy while delivering improved performance. …”
Get full text

Bacteria-based drug-loaded mesoporous silica nanoparticles for synergistic FUAS of breast cancer by Mingyang Zhang, Yijun Zhou, Haiyan Yang, Guangrong Zheng, Li Ren, Zhong Zhang, Li Lin, Youqian He, Qi Wang, Jianzhong Zou

“…Leveraging BF's tumor-targeting ability in hypoxic microenvironments, the NPs enable specific accumulation in tumor site, facilitating targeted and efficient drug delivery. …”
Get full text

Exploring magnetically recoverable catalysts for the synthesis of benzoxazoles derivatives by Fadhel F. Sead, Jayanti Makasana, Shelesh Krishna Saraswat, MM Rekha, Mayank Kundlas, Suman Saini, Kamal Kant Joshi, Mosstafa Kazemi, Ramin Javahershenas

“…Integrating magnetic catalysis into benzoxazole synthesis represents a significant step forward in achieving greener, more efficient methodologies in heterocyclic chemistry.…”
Get full text

DeepAT: A Deep Learning Wheat Phenotype Prediction Model Based on Genotype Data by Jiale Li, Zikang He, Guomin Zhou, Shen Yan, Jianhua Zhang

“…This provides a data-driven selection criterion for genomic selection, making the selection process more efficient and targeted. Deep learning has become an important tool for phenotype prediction due to its abilities in automatic feature learning, nonlinear modeling, and high-dimensional data processing. …”
Get full text

GradCAM-PestDetNet: A deep learning-based hybrid model with explainable AI for pest detection and classification by Ramitha Vimala, Saharsh Mehrotra, Satish Kumar, Pooja Kamat, Arunkumar Bongale, Ketan Kotecha

“…The growing global population demands an efficient pest detection system to ensure food security. …”
Get full text

Noise Was Obviously Reduced by Both Leaf Texture and Surface Roughness in Leaf Scale by Guangpeng Sun, Bingqian Ma, Xianwen Li, Juyang Liao, Liuduan Wei, Xuan Guo, Chengyang Xu, Xiangqi Kong, Guixiang Jin, Yingshan Jin

“…(1) Woody plant species selection for urban forests is one of the key factors in reducing traffic noise in urban areas, and the ability of sound wave attenuation by leaves is one of the foundations for species selection. …”
Get full text

Abnormal heart sound recognition using SVM and LSTM models in real-time mode by Moy’awiah A. Al-Shannaq, Areen Nasrawi, Abed Al-Raouf K. Bsoul, Ahmad A. Saifan

“…This study aims to propose a real-time heart sound recognition system to classify both normal and abnormal phonocardiograms with the ability to define the abnormality type if existed. …”
Get full text

Ultrathin polymer membrane for improved hole extraction and ion blocking in perovskite solar cells by Lina Shen, Peiquan Song, Kui Jiang, Lingfang Zheng, Jianhang Qiu, Fangyao Li, Yu Huang, Jinxin Yang, Chengbo Tian, Alex. K.-Y. Jen, Liqiang Xie, Zhanhua Wei

“…Remarkably, the devices retain 95.4% of the initial efficiency after 1100 hours of operation in maximum power point tracking, representing significant stability advancements for high-efficiency n-i-p PSCs.…”
Get full text

LEADERSHIP AS A FACTOR FOR BUILDING A PROJECT TEAM by Marina Grynchenko, Olexandr Ponomaryov, Olena Lobach

“…The clear goal setting and system use of efficient methods of building a project team are critical for professional training specialists in the sphere of project management. …”
Get full text

SAM2Former: Segment Anything Model 2 Assisting UNet-Like Transformer for Remote Sensing Image Semantic Segmentation by Xuewen Li, Xiaomin Tian, Zihong Wang, Feng Zhang, Yanting Zhang, Na Yang, Chuanzhao Tian

“…The SAM2Former is a dual-encoder and single-decoder structure composed of the efficient ResNet18 and SAM2’s Image Encoder as dual encoders, with Transformer as the decoder. …”
Get full text

Strength Prediction of Geopolymer Concrete With Wide-Ranged Binders and Properties Using Artificial Neural Network by Md Merajul Islam, Md Al-Mamun Provath, G. M. Sadiqul Islam, Md Tariqul Islam

“…Geopolymer concrete (GPC) is an efficient alternative to traditional construction materials, utilizing amorphous or semicrystalline waste–based binders. …”
Get full text

Assisting monofloral honey classification by automated pollen identification based on convolutional neural networks by José Miguel Valiente, Juan José Martín-Osuna, Ana María Peral, Isabel Escriche

“…The development of a computer application incorporating CNN models, makes these methodologies suitable for efficient classification of monofloral honeys.…”
Get full text

VCNet: Optimized Deep Learning framework with deep feature extraction and genetic algorithm for multiclass rice crop disease detection by Sanam Salman Kazi, Bhakti Palkar, Dhirendra Mishra

“…Convolution Neural Networks (CNN) are best in their ability to detect rice diseases but still face challenges in generalizing equally well for all classes of disease in multiclass classification. …”
Get full text

Quantifying leaf symptoms of sorghum charcoal rot in images of field‐grown plants using deep neural networks by Emmanuel M. Gonzalez, Ariyan Zarei, Sebastian Calleja, Clay Christenson, Bruno Rozzi, Jeffrey Demieville, Jiahuai Hu, Andrea L. Eveland, Brian Dilkes, Kobus Barnard, Eric Lyons, Duke Pauli

“…EfficientNet‐B3 and a fully convolutional network emerged as the top‐performing models for image classification and segmentation tasks, respectively. …”
Get full text

Research and application of Gaussian coupled control bistable stochastic resonance system with independent parameter regulation by Tiantian Hou, Shangbin Jiao, Yi Wang, Nianlong Song, Jianghua Li, Wenchuan Cui

“…This optimization approach leverages the algorithm’s ability to enhance population diversity and improve convergence accuracy, thereby optimizing the system’s performance. …”
Get full text

EML-SlowFast: A behavior recognition model for lion-head goose by Jinwei Wang, Zhiguo Du, Bin Wen, Zhihui Wu, Xudong Lin

“…By combining and filtering channel information, the ECAbneck module enhances the model's ability to extract static characteristics from lion-head goose, increasing the accuracy of behavior recognition. …”
Get full text

YOLOv8-OCHD: A Lightweight Wood Surface Defect Detection Method Based on Improved YOLOv8 by Zuxing Chen, Junjie Feng, Xueyan Zhu, Bin Wang

“…Firstly, to enhance the ability to capture multi-dimensional features of wood surface defects and reduce information loss, a fully dynamic convolution (ODConv) is introduced. …”
Get full text

Robust Adaptive Fractional-Order PID Controller Design for High-Power DC-DC Dual Active Bridge Converter Enhanced Using Multi-Agent Deep Deterministic Policy Gradient Algorithm for... by Seyyed Morteza Ghamari, Daryoush Habibi, Asma Aziz

“…The Dual Active Bridge Converter (DABC), when paired with a high-performance CLLC filter, is well-regarded for its ability to transfer power bidirectionally with high efficiency, making it valuable across a range of energy applications. …”
Get full text

Rapid diagnosis of alprazolam poisoning by Fourier transform infrared spectroscopy on saliva samples by Arezoo Mahdavinejad, Shahin Shadnia, Kiana Farhadinejad, Golrokh Farnam, Saba Arefi, Farshad H. Shirazi

“…FTIR spectroscopy is an effective method for diagnosing alprazolam toxicity in saliva samples, offering a quick, efficient, and non-invasive alternative to traditional techniques. …”
Get full text