Technology and understanding of post-fracturing coring in three-dimensional development zone of Fuling shale gas, Sichuan Basin, SW China by Huanquan SUN, Zhiyong LU, Li LIU, Jichao FANG, Aiwei ZHENG, Jiqing LI, Yuqiang ZHANG, Jialin XIAO

“…The results of the fracture tracing in the core sampling area confirm that the current fracturing technology can essentially achieve the differential transformation of the reservoir in the main area of Jiaoshiba block in Fuling. The three-layer three-dimensional development model can efficiently utilize shale gas reserves, although there is still room for improvement in the complexity and propagation uniformity of fractures. …”
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Performance Evaluation of YOLOv11 and YOLOv12 Deep Learning Architectures for Automated Detection and Classification of Immature Macauba (<i>Acrocomia aculeata</i>) Fruits by David Ribeiro, Dennis Tavares, Eduardo Tiradentes, Fabio Santos, Demostenes Rodriguez

“…Inference throughput averaged 3.9 ms per image for YOLOv11x and 6.7 ms for YOLOv12x, highlighting a trade-off between speed and architectural complexity. Fused model representations revealed optimized layer fusion and reduced computational overhead (GFLOPs), facilitating efficient deployment. …”
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Self-adaptive evolutionary neural networks for high-precision short-term electric load forecasting by Muhammad Abbas, Yanbo Che, Sarmad Maqsood, Muhammad Zain Yousaf, Mustafa Abdullah, Wajid Khan, Saqib Khalid, Mohit Bajaj, Mohammad Shabaz

“…However, existing forecasting models, including statistical approaches and deep learning architectures such as multi-layer perceptron (MLP), struggle to capture complex nonlinear load variations while maintaining computational efficiency. …”
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Precipitation Patterns and Their Role in Modulating Nitrous Oxide Emissions from Arid Desert Soil by Chunming Xin, Huijun Qin, Yuanshang Guo, Mingzhu He

“…Nitrous oxide (N₂O) ranks as the third most significant greenhouse gas, capable of depleting the ozone layer and posing threats to terrestrial ecosystems. …”
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Boosting responsivity and speed in 2D material based vertical p-i-n photodiodes with excellent self-powered ability by Maoxin Tian, Yufan Wang, Tianjiao Zhang, Cheng Zhang, Jialei Miao, Zheng Bian, Xiangwei Su, Zongwen Li, Jian Chai, Anran Wang, Fengqiu Wang, Bin Yu, Yang Xu, Yang Chai, Xiao Wang, Yuda Zhao

“…However, a critical bottleneck lies in the complex fabrication techniques and the performance tradeoff between high responsivity and fast speed, especially under self-powered mode. …”
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WCANet: An Efficient and Lightweight Weight Coordinated Adaptive Detection Network for UAV Inspection of Transmission Line Accessories by Jiawei Chen, Pengfei Shi, Mengyao Xu, Yuanxue Xin, Xinnan Fan, Jinbo Zhang

“…Existing network models suffer from issues like low precision in accessory detection, elevated model complexity, and a narrow range of category detection, especially in UAV-based inspection scenarios. …”
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Image skeletonization based on combination of one- and two-sub-iterations models by J. Ma, V. Yu. Tsviatkou, V. K. Kanapelka

“…In each iteration, redundant pixels, the neighborhoods of which meet certain conditions, are removed layer by layer along the contour and finally they leave only the skeleton. …”
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Si par un mal étrange est atteint un personnage by René Audet

“…Through this intertwined multi-layer fiction, a writer’s representation is build, coping with fictional incertainties, a diffracted narrative and lots of literary figures brought by the narrator as field of reference. …”
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Hybrid precoding and power allocation for mmWave NOMA systems based on time delay line arrays by Gangcan SUN, Xinli WU, Wanming HAO, Zhengyu ZHU

“…Methods:To reduce inter-user interference,an improved K-means algorithm is proposed to group users and select a cluster head for each group of users, which maximizes the correlation of user channels in the same cluster and reduces the correlation between users in different clusters as much as possible;Then,a low-complexity analog precoding is designed to maximize the array gain of the antenna based on the relevant user channel matrix composed of the cluster head set, followed by a digital precoding designed to eliminate inter-user interference with the maximum equivalent channel gain between beams using a forced-zero technique; Finally, an EE maximization problem is formed to optimize the transmit power under users'quality of services and total transmit power constraints,and a two-layer iterative algorithm is proposed for the resulting non-convex optimization problem. …”
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Selected Code-Quality Characteristics and Metrics for Internet of Things Systems by Matej Klima, Miroslav Bures, Karel Frajtak, Vaclav Rechtberger, Michal Trnka, Xavier Bellekens, Tomas Cerny, Bestoun S. Ahmed

“…These metrics are divided into main code quality categories: Size, redundancy, complexity, coupling, unit test coverage and effectiveness, cohesion, code readability, security, and code heterogeneity. …”
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Explainable Artificial Intelligence for Crowd Forecasting Using Global Ensemble Echo State Networks by Chamod Samarajeewa, Daswin De Silva, Milos Manic, Nishan Mills, Prabod Rathnayaka, Andrew Jennings

“…This approach replaces the random input mapping layer with a clustering layer, allowing the network to learn input projections on cluster centroids. …”
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Superior High‐Rate Ni‐Rich Lithium Batteries Based on Fast Ion‐Desolvation and Stable Solid‐Electrolyte Interphase by Zhenxue Xiao, Siyuan Wu, Xiaozhe Ren, Minfei Fei, Shuai Hao, Xueping Gao, Guoran Li

“…Serving Ni‐rich cathodes, the customized electrolyte generates a double‐layered CEI, LiF‐dominated inorganics inner layer, and ROCOOLi‐dominated organics outer layer, which is not only stable and very efficient for lithium ion transport. …”
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A Multi-Scale Feature Fusion Hybrid Convolution Attention Model for Birdsong Recognition by Lianglian Gu, Guangzhi Di, Danju Lv, Yan Zhang, Yueyun Yu, Wei Li, Ziqian Wang

“…To further enhance multi-scale feature fusion, a layer-by-layer alignment feature fusion method is developed to establish a deeper correlation, thereby improving classification accuracy and robustness. …”
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Episodic thrusting and sequence-sedimentary responses and their petroleum geological significance in Kuqa foreland basin, NW China by Haijun YANG, Suyun HU, Xianzhang YANG, Mingyi HU, Huiwen XIE, Liang ZHANG, Ling LI, Lu ZHOU, Guowei ZHANG, Haoyu LUO, Qingjie DENG

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Metabolism and Microstructure of the Small Intestine Wall in Patients With Colorectal Cancer by M. V. Bagryantsev, M. G. Ryabkov, E. L. Bederina, M. M. Loginova, A. V. Bazayev, A. I. Abelevich, I. L. Dezortsev, S. S. Bunova, M. V. Shirmanova, V. I. Shcheslavskiy, E. B. Kiseleva

“…If the hypothesis is confirmed, the developed algorithm for the complex diagnosis of microstructural and metabolic disorders in tissues will expand the possibilities for the rehabilitation of patients with cancer of the right colon.…”
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Design of polarization-independent 1 × 2 optical power splitter based on silicon nitride slot waveguide structure by Fangxu Liu, Huanlin Lv, Hongyu Zhang, Shuo Liu, Yanfeng Liang, Haoyu Wang, Yang Cong, Xuanchen Li, Qingxiao Guo

“…Abstract This paper introduces a novel design of a three-layer slot waveguide structure, serving as a polarization-independent optical power splitter based on Si/SiNx/Si materials. …”
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LGR-Net: A Lightweight Defect Detection Network Aimed at Elevator Guide Rail Pressure Plates by Ruizhen Gao, Meng Chen, Yue Pan, Jiaxin Zhang, Haipeng Zhang, Ziyue Zhao

“…To improve the localization accuracy for small defects, we add a high-resolution small object detection layer (P2 layer) and integrate the Convolutional Block Attention Module (CBAM) to construct a four-scale feature fusion network. …”
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Vehicle detection in drone aerial views based on lightweight OSD-YOLOv10 by Yang Zhang, Xiaobing Chen, Su Sun, Hongfeng You, Yuanyuan Wang, Jianchu Lin, Jiacheng Wang

“…Second, we integrate an efficient dual-layer feed-forward hybrid attention module to enhance the model’s feature extraction capabilities. …”
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Intelligent Reflecting Surface-Assisted Wireless Communication Using RNNs: Comprehensive Insights by Rana Tabassum, Mohammad Abrar Shakil Sejan, Md Habibur Rahman, Md Abdul Aziz, Hyoung-Kyu Song

“…We first implement single- and double-layer LSTM, BiLSTM, and GRU techniques for an IRS-based communication system. …”
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Adaptive Granularity-Fused Keypoint Detection for 6D Pose Estimation of Space Targets by Xu Gu, Xi Yang, Hong Liu, Dong Yang

“…To tackle the aforementioned challenges, we propose an adaptive dual-stream aggregation network (ADSAN), which enables the learning of finer local representations and the acquisition of abundant spatial and semantic information by merging features from both inter-layer and intra-layer perspectives through a multi-grained approach, consolidating features within individual layers and amplifying the interaction of distinct resolution features between layers. …”
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