Syngap1 regulates the synaptic drive and membrane excitability of Parvalbumin-positive interneurons in mouse auditory cortex by Ruggiero Francavilla, Bidisha Chattopadhyaya, Jorelle Linda Damo Kamda, Vidya Jadhav, Said Kourrich, Jacques L Michaud, Graziella Di Cristo

“…Finally, we found that the selective blocking of voltage-gated D-type K+ currents was sufficient to rescue PV+ mutant cell-intrinsic properties to wild-type levels. …”
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Crime Type Identification Using High-Order Deep Residual Network with Multiple Attention Algorithm by Dawei Qiu, Chang Liu, Yuangfeng Shang, Zixu Zhao, Jinlin Shi

“…The approach includes a tailored data processing method involving target encoding to convert categorical data into numerical form, L2 normalizer to standardize data and ensure balanced feature contribution, and variance threshold feature selection to remove low-variance features. Additionally, a High-Order Deep Residual Network with Multiple Attention (HO-ResNet-MA) is developed, featuring an optimized Huta68 block (Huta-6(8)-MA ResBlock) with an enhanced Contextual Transformer (CoT) unit for local attention and a queue-and-exclusion layer for global attention. …”
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Optimization of EOR Displacement Methods Based on Multiple Factor Analysis by Zhongcheng Li, Zhidong Bao, Li Chen, Hongyu Zhao, Zenglai Jiang, Hairui Wu, Wanchun Zhao

“…Taking a new block of an oil field in China as an example, the optimal displacement method of three typical blocks of polymer flooding, burning oil layer flooding, and ternary composite flooding is selected by the fuzzy evaluation method; then, the improved Deng correlation method calculates that the final recovery rate of the new block using burning oil layer flooding is the tallest, and the burning oil layer flooding is selected the best way to replace the block. …”
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Human fall direction recognition in the indoor and outdoor environment using multi self-attention RBnet deep architectures and tree seed optimization by Awais Khan, Jung-Yeon Kim, Chomyong Kim, Muhammad Attique Khan, Hyojin Shin, Jiyoung Woo, Yunyoung Nam

“…Subsequently, we developed four novel residual block and self-attention mechanisms, named residual block-deep convolutional neural network (3-RBNet), 5-RBNet, 7-RBNet, and 9-RBNet self-attention models. …”
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HiDRA-DCDNet: Dynamic Hierarchical Attention and Multi-Scale Context Fusion for Real-Time Remote Sensing Small-Target Detection by Jiale Wang, Zhe Bai, Ximing Zhang, Yuehong Qiu, Fan Bu, Yuancheng Shao

“…The DCDBlock architecture synergizes multi-scale dilated convolutions with cross-layer dense connections, establishing persistent feature propagation pathways that preserve critical spatial details across network depths. …”
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The analysis of sculpture image classification in utilization of 3D reconstruction under K-means++ by Xuhui Wang

“…ResNet50 includes residual blocks, each containing multiple convolutional layers and a skip connection, enabling the network to learn differences between inputs and outputs rather than directly learning outputs, thus improving performance. …”
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Onnanoscale phenomena inthe electroacoustic sputtering process by W. H. Al-Tibbi, V. S. Minakov

“…To obtain coatings with the desired properties of the surface layer, nanocrystalline materials should be selected. …”
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YOLO-LSD: A Lightweight Object Detection Model for Small Targets at Long Distances to Secure Pedestrian Safety by Ming-An Chung, Sung-Yun Chai, Ming-Chun Hsieh, Chia-Wei Lin, Kai-Xiang Chen, Shang-Jui Huang, Jun-Hao Zhang

“…The proposed model integrates the C3C2 and the new Efficient Layer Aggregation Network - Convolutional Block Attention Module(ELAN-CBAM) modules to improve the efficiency of feature extraction while reducing computational overhead. …”
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A study of massive multidimensional data sharing and interaction algorithms based on cloud-edge collaboration by Xiaodong Zhang, Jing Wang, Ke Yang

“…The improved DPoS will select proxy nodes. Cloud layers share and access data lake models through smart contracts. …”
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A Retrospective Machine Learning Analysis to Predict 3-Month Nonunion of Unstable Distal Clavicle Fracture Patients Treated with Open Reduction and Internal Fixation by Ma C, Lu W, Liang L, Huang K, Zou J

“…Conversely, the application of nerve blocks, including postoperative block, was correlated with a reduced risk. …”
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Apply Ridge Regression Model to Predict the Lateral Velocity Difference of Tight Reservoirs by HAN Longfei, ZHANG Yongfei, WANG Miaomiao, LI Yu

“…Finally, a ridge regression algorithm is used to establish a prediction model of the lateral wave time lag based on the logging data of five wells in WQ block. The results show that the ridge regression model takes into account the influence of porous fluid on the lateral wave time lag and can effectively extract the lateral wave characteristics of oil and gas reservoirs, water layers, and porous dry layers. …”
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Reliability analysis based on cascaded-Foster thermal networks for systems-in-package (SiP) by Djallel Eddine Touati, Aziz Oukaira, Mohamed Ali, Ahmad Hassan, Yvon Savaria, Ahmed Lakhssassi

“…The reliability estimation process involves selecting the mechanism with the shortest predicted lifespan for each layer and constructing the overall reliability curve using a series configuration of the reliability block diagram. …”
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Functionally graded materials of SS316L and IN625 manufactured by direct metal deposition by Dev Singh D., Arjula Suresh, Raji Reddy A.

“…Direct metal deposition (DMD) is a layer-by-layer material addition process. Partial functionally graded material (FGM) blocks of size 26 mm wide × 34 mm thick × 32 mm height were 3D printed based on Taguchi’s L9 approach using a commercial DMD machine equipped with a diode laser. …”
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MEASegNet: 3D U-Net with Multiple Efficient Attention for Segmentation of Brain Tumor Images by Ruihao Zhang, Peng Yang, Can Hu, Bin Guo

“…The encoder employs Parallel Channel and Spatial Attention Block (PCSAB), the bottleneck layer leverages Channel Reduce Residual Atrous Spatial Pyramid Pooling (CRRASPP) attention, and the decoder layer incorporates Selective Large Receptive Field Block (SLRFB). …”
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A Novel Hybrid Secure Method Based on DNA Encoding Encryption and Spiral Scrambling in Chaotic OFDM-PON by Yaoqiang Xiao, Yating Chen, Caixia Long, Jin Shi, Jie Ma, Jing He

“…In the spiral scrambling process, the QAM symbol matrix is divided into several blocks, and these blocks are scrambled. In the scrambling of the plural matrix, the position where the spiral starts and the orientation and direction of the traversal are also controlled by the chaotic sequences. …”
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Two-way relaying protocol tailored for sensor network by Qing-feng ZHOU, Zhi-zhong DING, Cai-hong KAI

“…A three-time-slot two-way relaying protocol,named as two-way selective decode-and-forward (TW-SDF) protocol,was proposed.This relaying protocol integrates network coding and the selective decode-and-forward method,and was tailored for wireless networks with simple devices,like sensor networks.Compared with the well-known physical-layer network coding protocol,the considered TW-SDF has the merits of full diversity order gain,low encoding and decoding complexity and easy-to-implement.Provided block codes,an upper bound on the block error rate of TW-SDF was derived and proved,which is valid for all hard decoders.Simulation results further verify that the upper bound is remarkably tight if BCH codes are utilized.…”
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Research and field testing of cabled intelligent stratified oil production technology by DENG Jibin, KANG Yuyang, YAN Weijie, YE Hong, ZHANG Xiangyang

“…The complex small fault block oilfields in Jiangsu are mainly developed through waterflooding with stratified injection. …”
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LTE resource-aware dynamic adaptive wireless multimedia streaming system by Bingjiang CAI

“…The quality of user experience in adaptive video streaming, to a large extent, depends on the accuracy of the end-to-end bandwidth estimation.However, bandwidth estimation is very challenging in highly dynamic LTE network.LTE resource-aware dynamic adaptive wireless multimedia streaming system was designed and implemented in which the LTE resource block monitor module keeps monitoring the cell-wide physical layer resource utility.The rate scaling mechanism mapped the throughput to an estimation of available bandwidth and the rate adaption algorithm selected the most appropriate representation combining current available bandwidth with buffer state and played a trade-off between video quality and the risk of stalling.The experimental results on the prototype system show that comparing with the two baseline algorithms, the proposed system achieves the highest average video bitrate while maintaining a fairly low stalling rate, and effectively enhances the quality of experience.…”
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Function of B8N6S4 in Regulating the Growth and Aflatoxin B1 Biosynthesis of Aspergillus flavus by Xinze ZHANG, Ruisi PU, Jinlu NIU, Wenjie HUANG, Shijuan YAN, Wenyang ZHANG, Shaowen WU

“…This study revealed for the first time the regulatory role of B8N6S4 in the aflatoxin biosynthesis network, providing a novel target for the prevention and control strategy to block aflatoxin biosynthesis.…”
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A seismic random noise suppression method based on CNN-Mamba by Xiujuan WEI, Xingye LIU, Huailai ZHOU

“…Specifically, the CNN in a shallow layer focused on local noise pattern recognition, while Mamba in a deep layer was used to capture the correlations of large-scale geological structures. …”
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