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. …”
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Determination of Phytotechnological Parameters of the Dense Extract from Peach (<i>Persica vulgaris</i>) Leaves by E. I. Molokhova, L. V. Ivantsova, V. D. Belonogova

“…The purpose of the study: to establish the influence of phytotechnological parameters for efficiency of isolation of complex of biologically active substances from peach leaves.Materials and methods. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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.…”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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Contact ion-pair SN2 reactions activated by Lewis Base Phase transfer catalysts by Ju Gyeong Jeong, Young-Ho Oh, Tae Hyun Park, Sung-Sik Lee, Dong Wook Kim, Sungyul Lee

“…In this extremely efficient and selective protocol of wide applicability, the CIP MF is activated by the Lewis base PTCs acting on the counter-cation M+ to drastically mitigate the latter’s retarding Coulomb forces on the adjacent nucleophile F-, with or without the participation of hydrogen bonds.…”
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Optimizing PAPR performance for 6G OTFS waveform using adaptive genetic PTS method for Rician fading channels by Arun Kumar, Aziz Nanthaamornphong, Nishant Gaur

“…Compared to traditional methods, such as standard partial transmit sequence (PTS), selective mapping, and companding, AGA-PTS offers faster convergence and lower computational complexity owing to its dynamic phase adaptation mechanism. …”
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Greener solvents in extraction of proteins and peptides by Katarína Maráková

“…The sample pretreatment still represents a fundamental aspect of any analytical workflow, and the implementation of sustainable and efficient extraction of proteins is essential to satisfy the increasing requirements for high-quality extraction of proteins from their natural sources. …”
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Comparison of Hadoop Mapreduce and Apache Spark in Big Data Processing with Hgrid247-DE by Firmania Dwi Utami, Femi Dwi Astuti

“…This study provides valuable insights into the strengths and limitations of each framework, offering guidance for practitioners and researchers when selecting the appropriate tool for specific big data processing requirements, particularly with respect to speed, memory usage, and task complexity.…”
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New fruit waste-derived activated carbons of high adsorption performance towards metal, metalloid, and polymer species in multicomponent systems by Sylwia Kukowska, Piotr Nowicki, Katarzyna Szewczuk-Karpisz

“…In the two-component systems, polymers could favour metal/metalloid adsorption based on complexation phenomena. However, the most efficient and environmentally safe activated carbon turned out to be the one obtained from orange peels by microwave-assisted, direct activation at 800 °C in the CO2 atmosphere.…”
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Design and performance evaluation of low-voltage solid-state DCCB using capacitor-based surge mitigation techniques by Mehdi Moradian, Tek Tjing Lie, Kosala Gunawardane

“…Since all circuit operation results are considered acceptable, the article scrutinizes circuit configurations and selects the most effective surge absorption technique based on active and passive components and surge mitigation complexity. …”
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Heterogeneous Electrocatalytic CO2 Reduction by Supported Molecular Catalysts Well Dispersed on Electrode Surface by Ke Ma, Shiyu Zhang, Weixuan Nie

“…Among various electrocatalysts, molecular catalysts, particularly transition metal complexes, stand out due to the high selectivity for single specific products and desirable tunability, enabling rational optimization of catalytic performance. …”
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ACSAformer: A crime forecasting model based on sparse attention and adaptive graph convolution by Zhenkai Qin, Baozhong Wei, Baozhong Wei, Caifeng Gao, Caifeng Gao, Feng Zhu, Feng Zhu, Weiqi Qin, Weiqi Qin, Qian Zhang

“…The sparse attention mechanism further reduces the number of key tokens each query needs to attend to by computing similarity scores only for query-key pairs selected according to predefined patterns, reducing the computational complexity from O(L2) to O(L log L) and greatly improving the efficiency of long-sequence processing. …”
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