Fault connectivity evaluation based on topological structure analysis: A case study of multi-stage faults of deep shale gas reservoirs in central Luzhou Block, southern Sichuan by LIANG Xiaobai, JU Wei

“…Findings indicate that faults in the Wufeng Formation of the central Luzhou area are well-developed, with an average of 1.12 connection points per branch network. …”
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Challenges and opportunities for ports in achieving net-zero emissions in maritime transport by Pramithodha Halpe, Michelle Adams, Tony R. Walker

“…Shipping ports are vital nodes in maritime transport networks and play crucial roles in the global economy and international trade. …”
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Papillary lesions of the canine mammary gland: description and casuistry by M.C. Flecher, F. R. Souza, N.M. Avelar, T.C.M. Lopes, K.Y. R. Nakagaki, G.D. Cassali

“…Most papillary neoplasms were smaller than 3.0 cm in size and presented no metastases in lymph nodes and no distant metastases. However, the invasive papillary carcinomas’ average size was larger than the papillomas and non-invasive carcinomas. …”
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Unveiling Flight Operation Hazards’ Interrelation via TEM Model and Network Analysis by Peng He, Zhaoning Zhang, Ruishan Sun

“…The FOHN, comprising 120 nodes (hazards) and 208 edges (causal links), exhibits unique structural characteristics: a low clustering coefficient (0.03), long average path length (4.20), and an exponential degree distribution (R 2 = 0.994), confirming the absence of small-world and scale-free properties. …”
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Graph theoretical model of a sensorimotor connectome in zebrafish. by Michael Stobb, Joshua M Peterson, Borbala Mazzag, Ethan Gahtan

“…There was high local clustering and a short average path length between nodes, implying a small-world structure similar to other neural connectomes and complex networks. …”
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Human activity recognition system based on low-cost IoT chip ESP32 by Chao HU, Bangyan LU, Yanbing YANG, Zhe CHEN, Lei ZHANG, Liangyin CHEN

“…Human activity recognition widely exists in applications such as sports management and activity classification.The current human activity recognition applications are mainly divided into three types: camera-based, wearable device-based, and Wi-Fi awareness-based.Among them, the camera-based human activity recognition application has the risk of privacy leakage, and the wearable device-based human activity recognition application has problems such as short battery life and poor accuracy.Human activity recognition based on Wi-Fi sensing generally uses Wi-Fi network cards or software-defined radio devices to identify the rules of channel state information changes, so as to infer user activity.It does not have the problems of privacy leakage and short battery life.But Wi-Fi network cards need to rely on computers and software-defined radio platforms are expensive, which greatly limit the application scenarios of Wi-Fi sensing.Aiming at the above problems, a human activity recognition system based on the low-cost IoT chip ESP32 was proposed.Specifically, the Hampel filter and Gaussian filter were used to preprocess the channel state information obtained by ESP32.Then, the principal component analysis and discrete wavelet transform were utilized to reduce the dimension of the data.Finally, the K-nearest neighbor (KNN) algorithm was applied to classify data.The experimental results show that the system can achieve a recognition accuracy which close to the current mainstream Wi-Fi perception system (Intel 5300 network card) when only two ESP32 nodes are deployed, and the average accuracy rate for the six activities is 98.6%.…”
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Deep Reinforcement Learning for Multi-User Massive MIMO With Channel Aging by Zhenyuan Feng, Bruno Clerckx

“…In this paper, considering multiple antennas at all nodes (base station and user terminals), we develop a multi-agent deep reinforcement learning (DRL) framework for massive MIMO under imperfect CSIT, where the transmit and receive beamforming are jointly designed to maximize the average information rate of all users. …”
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Modeling the Public Transport Networks: A Study of Their Efficiency by Mary Luz Mouronte-López

“…This research studies the process of the formation of links among nodes in different real-world PTNs. We have found that this process may be appropriately explained by a generalized linear model (GLM) using local, global, and quasilocal similarity indexes as explanatory variables. …”
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Male breast cancer: common biomarkers, clinicopathology, and outcomes in the west of Iran by Ali Azizi, Nasrin Mansouri, Bayan Faridi, Mazaher Ramezani

“…The overall survival rate of 1, 3, and 5 years for 51 cases was 96%, 91%, and 65%, respectively, with an average survival period of 96 months. There was a significant relationship between age, metastasis, and disease stage with the survival status of patients (P = 0.03). …”
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Prevalence and social determinants associated with oral cancer in Al-Baha Region of Saudi Arabia: A seven-year retrospective cohort hospital-based study by Abdullah Ali H. Alzahrani

“…OC was assessed based on the hospital records, histopathological data, and Tumor, Nodes, Metastasis (TNM) staging aided in cancer assessment. …”
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Comparing Two Geostatistical Simulation Algorithms for Modelling the Spatial Uncertainty of Texture in Forest Soils by Gabriele Buttafuoco

“…The realizations obtained by SGS and TBS showed a strong similarity in reproducing the distribution of ilr.1 and ilr.2 with minimal differences in average conditional variances of all grid nodes. The variograms of ilr.1 and ilr.2 coordinates were better reproduced by the realizations obtained by TBS. …”
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Green fabricated zinc oxide nanoformulated media enhanced callus induction and regeneration dynamics of Panicum virgatum L. by Saima Shafique, Nyla Jabeen, Khawaja Shafique Ahmad, Samra Irum, Sadaf Anwaar, Naeem Ahmad, Sadia Alam, Muhammad Ilyas, Talha Farooq Khan, Syed Zaheer Hussain

“…Both the explants, seeds and nodes showed dose dependent response and upon high doses exceeding 40 mg/L the results were recorded negative, whereas at 30 mg/L both explants demonstrated 70% and 76% regeneration frequency. …”
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Research on Rolling Bearing Fault Diagnosis Method Based on MPE and Multi-Strategy Improved Sparrow Search Algorithm Under Local Mean Decomposition by Haodong Chi, Huiyuan Chen

“…Furthermore, considering the instability of classification caused by the empirical setting of hidden layer nodes in the extreme learning machine (ELM), a multi-strategy improved sparrow search algorithm is proposed to optimize ELM parameters. …”
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D2D-based Electric Internet of Things and its Retransmission Scheme of Multicast by HUANG Qiang, QIN Jian-hua, HU Cheng-bo, LU Yong-ling, TAO Feng-bo, WANG Zhen

“…At the same Lime, considering the strong cmTelation of shadow fading of cellular links in a D2D cluster, the probability of decoding failure for all receiving nodes could dramatically increases in a specific scenario. …”
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Clinical implementation of minimally invasive esophagectomy by Heinz Wykypiel, Philipp Gehwolf, Katrin Kienzl-Wagner, Valeria Wagner, Andreas Puecher, Thomas Schmid, Fergül Cakar-Beck, Aline Schäfer

“…The postoperative 90-d mortality rate was 1.7%. The average number of lymph nodes removed in the last quarter of cancer patients was 31. …”
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High-Precision Positioning Method for Robot Acoustic Ranging Based on Self-Optimization of Base Stations by Zekai Zhang, Jiayu Chen, Bishu Gao, Yefeng Sun, Xiaofeng Ling, Zheyuan Li, Liang Gong

“…It categorizes mobile terminal nodes based on their coordinates from the previous moment, selects distance information from nearby base stations in different modes, and employs weights for decision-making and computation, ultimately yielding two-dimensional positioning coordinates. …”
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Federated Reinforcement Learning in Stock Trading Execution: The FPPO Algorithm for Information Security by Haogang Feng, Yue Wang, Shida Zhong, Tao Yuan, Zhi Quan

“…The paper further explores the model’s performance under the FPPO algorithm with varying numbers of client nodes and different risk preferences, underscoring the importance of these factors in model construction. …”
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Influence Maximization in Social Networks Using Improved Genetic Algorithm by Ali Chodari Khosroshahi, Saeid Taghavi Afshord, Bagher Zarei, Bahman Arasteh

“…It focuses on identifying the most influential individuals (or nodes) in a social network to maximize the spread of information, ideas, or behaviors. …”
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Data Aggregation and Scheduling to Optimize Information Freshness In Multi-Hop IoT Networks by Xueling Wu, Long Qu, Maurice J. Khabbaz

“…These applications often require the efficient transmission of collected sensitive data to centralized or distributed processing units, such as cloud servers, edge nodes, or fog computing platforms—to enable timely responses. …”
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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

“…The visual tangent points were sequentially stored in the OPEN list as nodes, and nodes were selected for the CLOSED list based on the A* algorithm's evaluation function to ensure the shortest path. …”
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