GPU-Accelerated Eclipse-Aware Routing for SpaceWire-Based OBC in Low-Earth-Orbit Satellite Networks by Hyeonwoo Kim, Heoncheol Lee, Myonghun Han

“…The approach first employs a Breadth-First Search (BFS)–based K-Shortest Paths (KSP) algorithm to generate candidate routes and then evaluates battery usage to select the most efficient path. In large-scale networks, the computational load of the KSP search increases substantially. …”
Get full text

Exploring the potential of QSAR in the discovery of novel green TADF materials: an experimental and theoretical study by Jee Hyun Maeng, Dae Hyun Ahn, Chul Woong Joo, Jung Ho Ham, Se Chan Cha, Young Hun Jung, Jang Hyuk Kwon

“…This study explores the potential of quantitative structure–activity relationship (QSAR) calculations, particularly AutoQSAR, to streamline TADF OLED material selection and design. By leveraging the predictive capabilities of QSAR, we aimed to enhance the accuracy and efficiency of material development. …”
Get full text

Blockade of αvβ6 and αvβ8 integrins with a chromogranin A-derived peptide inhibits TGFβ activation in tumors and suppresses tumor growth by Anna Maria Gasparri, Arianna Pocaterra, Barbara Colombo, Giulia Taiè, Chiara Gnasso, Alessandro Gori, Federica Pozzi, Andrew Smith, Fulvio Magni, Alessia Ugolini, Matteo Doglio, Maria Chiara Bonini, Anna Mondino, Angelo Corti, Flavio Curnis

“…Abstract Background The αvβ6- and αvβ8-integrins, two cell-adhesion receptors upregulated in many solid tumors, can promote the activation of transforming growth factor-β (TGFβ), a potent immunosuppressive cytokine, by interacting with the RGD sequence of the latency-associated peptide (LAP)/TGFβ complex. We have previously described a chromogranin A-derived peptide, called “peptide 5a”, which recognizes the RGD-binding site of both αvβ6 and αvβ8 with high affinity and selectivity, and efficiently accumulates in αvβ6- or αvβ8-positive tumors. …”
Get full text

YOLOv9-LSBN: An Improved YOLOv9 Model for Cotton Pest and Disease by Ruohong He, Fengkui Zhang, Jikui Zhu, Yulong Wang, Daorina Yang, Ting Zhang, Ping Li

“…To achieve accurate identification of cotton aphids and diseases in natural complex environments, an enhanced YOLOv9 model named YOLOv9-LSBN (Large Selective Kernel Network with Bidirectional Feature Pyramid) is proposed. …”
Get full text

Apple leaf disease severity grading based on deep learning and the DRL-Watershed algorithm by Zhifang Bi, Fumin Ma, Jiaxiong Guan, Jie Wu, Juxia Li, Fuzhong Li, Yanwen Li, Zhanli Liu

“…Abstract Apple leaf diseases significantly impair the photosynthetic efficiency and growth quality of apple trees, leading to reduced fruit yields. …”
Get full text

New challenges in point cloud visual quality assessment: a systematic review by Amar Tious, Toinon Vigier, Vincent Ricordel

“…We collected scientific papers from online libraries (IEEE Xplore, ACM DL, Scopus) and selected a set of relevant papers to analyze. From our observations, we discuss the progress and future challenges in PCQA toward efficient point cloud video coding and rendering for eXtended Reality. …”
Get full text

Enhanced hybrid pre-coding and power allocation algorithms for smart irrigation systems using OFDM-based WSNs. by Emad S Hassan

“…The use of linear pre-coding provides an efficient and simple solution to mitigate channel fading. …”
Get full text

Impact of the atmosphere state on interaction of aircraft vortex and condensation trails by A. I. Zhelannikov, A. N. Zamyatin, Yu. M. Chinyuchin

“…Several procedures were executed to validate and verify the developed complex, confirming its program efficiency and the reliability of the results obtained. …”
Get full text

Passion Fruit Disease Detection Using Sparse Parallel Attention Mechanism and Optical Sensing by Yajie He, Ningyi Zhang, Xinjin Ge, Siqi Li, Linfeng Yang, Minghao Kong, Yiping Guo, Chunli Lv

“…Built upon a Convolutional Neural Network (CNN) backbone, the model integrates a dynamically selective attention mechanism to enhance detection performance in cases with complex backgrounds and multi-scale objects. …”
Get full text

Spectrum‐sensing algorithm based on graph feature fusion by Shanshan Wu, Guobing Hu, Bin Gu

“…Thus, compared to existing algorithms, except block range‐ and energy‐detection‐based methods, the proposed algorithm demonstrates the best spectrum‐sensing performance under low SNRs and channel‐fading conditions, while achieving the lowest computational complexity. The proposed approach enables more efficient and accurate spectrum sensing, fostering advancements in communication technologies and defence applications.…”
Get full text

Using natural experiments to evaluate population health interventions: a framework for producers and users of evidence by Peter Craig, Mhairi Campbell, Manuela Deidda, Ruth Dundas, Judith Green, Srinivasa Vittal Katikireddi, Jim Lewsey, David Ogilvie, Frank de Vocht, Martin White

“…Design and planning An adaptation of the MRC/NIHR framework, for the development and evaluation of complex interventions, provides a structure for planning and conducting a natural experimental evaluation and highlights the value of applying a complex systems perspective for the evaluation. …”
Get full text

Global path planning algorithm for mining vehicles integrating simplified visibility graph and A* algorithm by ZHANG Chuanwei, LU Siyan, QIN Peilin, ZHOU Rui, ZHAO Ruiqi, YANG Jiajia, ZHANG Tianle, ZHAO Cong

“…Finally, a path smoothing algorithm was utilized to further reduce the number of path nodes, thereby enhancing path planning efficiency. Experimental results indicated that compared to the Complete Visibility Graph + A* algorithm, SVG + A* algorithm, and SVGCA* algorithm, the DVGA* algorithm had the shortest planning time for complex long-distance paths, with average path lengths reduced by 10.79%, 6.26%, and 2.86%, respectively, demonstrating stronger adaptability and higher planning success rates. …”
Get full text

Electrochemical Analysis of the Electrocatalytic Reduction of 5‐Hydroxymethylfurfural in Cu Electrodes by Jose Solera‐Rojas, David Carvajal, Antonio Guerrero, Carmen Mejuto, Elena Mas‐Marzá, Francisco Fabregat‐Santiago

“…However, achieving high selectivity in this process remains challenging due to the complexity of the reaction mechanisms involved. …”
Get full text

The Role of Digital Transformation in Manufacturing: Discrete Event Simulation to Reshape Industrial Landscapes by Fabio De Felice, Cristina De Luca, Antonella Petrillo, Antonio Forcina, Miguel Angel Ortiz Barrios, Ilaria Baffo

“…An operational framework is proposed to drive digital transformation in manufacturing by balancing automated systems efficiency with the complexity of human activities, which include decision-making flexibility, adaptability, tacit knowledge and collaborative interaction. …”
Get full text

Heat and Mass Transfer Study of Top-Heat-Integrated Distillation Column (T-HIDiC) using CFD by Javier A. Mancera-Apolinar, Diego F. Mendoza, Ronnie Andersson, Carlos A. M. Riascos

“…The developed CFD model was used to evaluate three pairs of internal rectification stage plus external stripping stage, that are thermally integrated. These stages were selected as representative of the column. Phases distribution, temperature and vapor phase Murphree efficiency were obtained as results, showing the potential of CFD models to analyze new and structurally complex units.…”
Get full text

Prediction of Monthly Temperature Over China Based on a Machine Learning Method by Ping Mei, Zixin Yin, Haoyu Wang, Changzheng Liu, Yaoming Liao, Qiang Zhang, Liping Yin

“…We identified three statistical challenges in climate prediction: instability of statistical models, complexity of feature factors, and the nonlinearity of the relationship between predictors and predictands. …”
Get full text

Heart Sound Classification Using Harmonic and Percussive Spectral Features from Phonocardiograms with a Deep ANN Approach by Anupinder Singh, Vinay Arora, Mandeep Singh

“…The feature set comprises 164 attributes, including the Chroma STFT, Chroma CENS, Mel-frequency cepstral coefficients (MFCCs), and statistical features. These are refined using the ROC-AUC feature selection method to ensure optimal performance. …”
Get full text

Comparative Study on Total Organic Carbon Content Logging Prediction Method Based on Machine Learning by TANG Shengshou, YANG Bin, JIN Jiulong, LIU Hongrui, DAI Xingyu, PU Jincheng

“…In this paper, the sensitive parameters for the prediction of total organic carbon content are selected based on the Pearson correlation coefficient matrix, and three machine learning methods are used to model the total organic carbon content. …”
Get full text

Validation of the Group Environment Questionnaire (GEQ) in a Simulated Learning Environment by José Manuel García-Álvarez, Alfonso García-Sánchez, Alonso Molina-Rodríguez, María Suárez-Cortés, José Luis Díaz-Agea

“…<b>Background/Objectives</b>: The complexity of modern healthcare requires teamwork. Healthcare teams must be cohesive to ensure efficient and quality care. …”
Get full text

Sustainability Measurement of Farming System in Isfahan Agricultural Sector (Smallholders-Rural Production Cooperatives- Farm Corporation) by Saedali Nekooei Naenii, Yosef Ghanbari, Hamid Barghi

“…Stability measurement is a complex interaction between technology, the environment and society. …”
Get full text