Prognostic Impact of Klintrup–Mäkinen (KM) Score in Gastric Cancer and Its Association with Pathological Parameters by Andreea-Raluca Cozac-Szőke, Georgian-Nicolae Radu, Anca Negovan, Dan Alexandru Cozac, Sabin Turdean, Andreea-Cătălina Tinca, Emőke-Andrea Szász, Iuliu-Gabriel Cocuz, Adrian-Horațiu Sabău, Raluca Niculescu, Diana Maria Chiorean, Alexandru Nicușor Tomuț, Ovidiu Simion Cotoi

“…This study aimed to evaluate the association between Klintrup–Mäkinen (KM) inflammatory infiltrate grading and clinicopathological features in gastric cancer patients, investigating its potential as a prognostic marker. <i>Material and Methods:</i> This retrospective study analyzed 133 gastric adenocarcinoma patients diagnosed between 2020 and 2021 at County Clinical Hospital in Târgu Mureș, Romania. …”
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Adaptive Topology Reconfiguration from an Actor Failure in Wireless Sensor-Actor Networks by Shengfeng Zhang, Xiaobei Wu, Cheng Huang

“…Wireless Sensor-Actor Network (WSAN) usually consists of numerous sensor nodes and fewer actors, and the connectivity of interactors is critical to the whole network. …”
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Home surveillance system based on LoRa backscattering by Marc Lazaro, Antonio Lazaro, Ramon Villarino, David Girbau

“…The primary goal is to significantly reduce the power consumption of these wireless nodes, eliminating the need for battery replacements and maintenance associated with commercial systems. …”
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Fault Tolerance and Energy Consumption Scheme of a Wireless Sensor Network by Doo-Soon Park

“…In large-scale sensor networks, however, maintenance costs to replace nodes when they are out of order, and batteries used for wireless communications, greatly increase, in addition to the cost of constructing them. …”
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Facial Expression Recognition with Multi-perspective Feature Fusion Under Deep Residual Convolution by GUAN Xiaorui, GAO Lu, SONG Wenbo, LIN Kezheng

“…Then use the RReLu activation function to replace the original ReLu to avoid deactivation of some nodes when the gradient is large.Finally, the global average pooling layer is used instead of the fully connected layer to achieve dimensionality reduction, and the generated feature vector is sent to Softmax for classification Experiments show that the proposed method produces excellent results on the CK+ and RaFD datasets, which can effectively improve the accuracy of facial expression recognition.…”
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A Hybrid Path Planning Algorithm for Orchard Robots Based on an Improved D* Lite Algorithm by Quanjie Jiang, Yue Shen, Hui Liu, Zohaib Khan, Hao Sun, Yuxuan Huang

“…This generates curvature-continuous and directionally stable segments that replace the original narrow-path portions. Finally, a gradient descent method is applied to smooth the overall path, improving trajectory continuity and execution stability. …”
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U-Net-based VGG19 model for improved facial expression recognition by Xiaohu ZHAO, Jingyi ZHANG, Mingzhi JIAO, Lixun XIE, Lanfei WANG, Weiqing SUN, Di ZHANG

“…This change reduces the number of nodes in these layers from [4096, 4096, 1000] to just [7], effectively addressing the large parameter size in the VGG19 network. …”
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Rotten strawberry classification based on EfficientNet V2 algorithm fused with GCN and CA-Transformer by WANG Wei, YANG Shizhong, GONG Yucheng, GAO Sheng, DENG Zhaopeng

“…ObjectiveImproving the accuracy and efficiency of rotting strawberry classification using modern computer vision techniques and deep learning methods.MethodsA classification method for rotten strawberries based on EfficientNet V2 fusion with Graph Convolutional Network (GCN) and Channel-Attention Transformer (CA-Transformer) has been proposed. …”
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Improved Trimming Ant Colony Optimization Algorithm for Mobile Robot Path Planning by Junxia Ma, Qilin Liu, Zixu Yang, Bo Wang

“…To address these challenges, this paper proposes an improved trimming ant colony optimization (ITACO) algorithm. The method introduces a dynamic weighting factor into the state transition probability formula to balance global exploration and local exploitation, effectively avoiding local optima. …”
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Optimization Path and Design of Intelligent Logistics Management System Based on ROS Robot by Ruijie Wu

“…In the logistics warehouse of different transportation nodes, 20 ROS robots were set up to transport goods of different weights in the experiment, and the transportation data were collected at last. …”
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Laparoscopic retropubic extraurethral adenomectomy by S. N. Eremenko, A. N. Eremenko, V. Yu. Mykhaylichenko, V. P. Dolgopolov, V. S. Chernega, A. S.-A. Khalilova

“…The features of the operation are laparoscopic access, a transverse section of the capsule, alternate isolation of adenomatous nodes while preserving the prostatic urethra on the catheter without replacing it during the operation, suturing the capsule with a decrease in space from the removed adenomatous nodes. …”
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Lightweight object detection model for food freezer warehouses by Jiayu Yang, Zhihong Liang, Mingming Qin, Xingyu Tong, Fei Xiong, Hao An

“…Additionally, the SimAM attention mechanism is applied to the Backbone’s final layer, enabling focus on critical image information without increasing parameters. Soft-NMS replaces the traditional NMS method, further improving detection accuracy. …”
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RL-BMAC: An RL-Based MAC Protocol for Performance Optimization in Wireless Sensor Networks by Owais Khan, Sana Ullah, Muzammil Khan, Han-Chieh Chao

“…These networks operate on a limited power supply in the form of batteries, which are normally difficult to replace on a frequent basis. In wireless sensor networks, sensor nodes alternate between sleep and active states to conserve energy through different methods. …”
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Preserving Left Aberrant Hepatic Artery During Gastrectomy for Cancer – Literature Review and Case Report by Dragos Eugen GEORGESCU, Teodor Florin GEORGESCU, Florin Teodor BOBIRCA, Luiza Georgia SERBANESCU, Traian PATRASCU, Mihai Teodor GEORGESCU

“…The final pathology report showed 18 lymph nodes examined, 5 being with adenocarcinoma metastases. …”
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An Energy Efficient Dynamic Address Encoding Scheme for Wireless Sensor Network by Liuxiao Zheng, Kewang Zhang, Deyun Zhang

“…However, wireless sensor nodes are battery powered; replacing or recharging battery is usually impossible after deployment, which makes energy a scarce resource for WSN. …”
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A flying ad-hoc network dataset for early time series classification of grey hole attacks by Charles Hutchins, Leonardo Aniello, Enrico Gerding, Basel Halak

“…These sequences undergo post-processing via two methods: firstly, an anonymization procedure that replaces IP addresses with standard string variables, allowing for offline model training and deployment on any UAV; and secondly, the application of feature engineering techniques to format the data for machine learning model integration. …”
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Metal-wood crane beam calculation by A. K. Yusupov, H. M. Muselemov, T. O. Ustarhanov

“…The article discusses the methods of calculation and design of metal-wood crane beams. …”
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Enhancing security and efficiency in Mobile Ad Hoc Networks using a hybrid deep learning model for flooding attack detection by Pramodh Krishna D., E. Sandhya, Khaja Shareef Sk, Srihari Varma Mantena, Venkata Subbaiah Desanamukula, Ch Koteswararao, Srinivasa Rao Vemula, Maruthi Vemula

“…Abstract Mobile Ad Hoc Networks (MANETs) are increasingly replacing conventional communication systems due to their decentralized and dynamic nature. …”
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Personalized Federated Learning for Heterogeneous Residential Load Forecasting by Xiaodong Qu, Chengcheng Guan, Gang Xie, Zhiyi Tian, Keshav Sood, Chaoli Sun, Lei Cui

“…Deep learning (DL) model has replaced other classical models as the most popular prediction models. …”
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A Novel Crowdsourcing-Assisted 5G Wireless Signal Ranging Technique in MEC Architecture by Rui Lu, Lei Shi, Yinlong Liu, Zhongkai Dang

“…This study designs a progressive solution by (1) building a crowdsourced data collection network, using mobile terminals equipped with GPS technology to automatically collect device signal features, replacing inefficient manual drive tests; (2) developing a progressive signal update algorithm that integrates real-time crowdsourced data and historical signals to optimize the signal fingerprint database in dynamic environments; (3) establishing an edge service architecture to offload signal matching and trajectory estimation tasks to MEC nodes, using lightweight computing engines to reduce the load on the core network. …”
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