弧齿锥齿轮传动的稳态本体温度场分析 by 沈允文, 王彤, 王三民, 张永红, 刘志全

“…Firstly, the mesh generation of finite element of the tooth of spiral bevel gear is discussed by using the 8-nodes three-dimensional finite element. Secondly, the authors develop the functional of the steady bulk temperature field of spiral bevel gear through the agency of variation principle and a method for calculating friction heat flow on the meshing tooth surface. …”
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Sensitivity analysis on protein-protein interaction networks through deep graph networks by Alessandro Dipalma, Michele Fontanesi, Alessio Micheli, Paolo Milazzo, Marco Podda

“…Furthermore, we show that the PPIN structure (i.e., the way the PPIN is “wired”) is essential to infer the sensitivity, and that further annotating the PPIN nodes with protein sequence embeddings improves the predictive accuracy. …”
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COMPARATIVE ANALYSIS OF CYTOKINE PRODUCTION BY BLOOD IMMUNOCOMPETENT CELLS AND TUMOR IN DIFFERENT AGE GROUPS OF PATIENTS WITH INVASIVE DUCTAL CARCINOMA by T. A. Kunts, E. S. Mikhaylova, I. O. Marinkin, N. A. Varaksin, A. I. Autenshlyus

“…Fisher’s ratio test showed significant differences between occurrence of metastases in lymph nodes, and patient age (p = 0.034). In both groups of patients, there was an increase of IL-6, IL-8, IL-10, IL-17, IL-18, IL-1ra, G-CSF, GM-CSF and VEGF concentrations in tumor supernates and its microenvironment, when compared with the production of cytokines by blood cells, thus indicating to high functional activity of tumor together with its microenvironment. …”
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The impact of interstitial lung disease in patients with acid sphingomyelinase deficiency (ASMD) - A case series by Jordi Costa i Colomer, Marta Garcia-Moyano, Luis Maiz, Santiago Perez-Tarazona, Marta Ruiz de Valbuena, Leticia Ceberio, Patricia Correcher, Natalia Juliá-Palacios, Montse Morales, Gema Pérez-Yagüe, Jesús Villarrubia, Raquel Pérez-Rojo

“…All presented with pulmonary function impairment. Data were collected on clinical presentation, diagnostic workup, pulmonary function tests, imaging studies, and patient outcomes during follow up. …”
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Photoacoustic imaging for monitoring radiotherapy treatment response in head and neck tumors by Niklas Holzwarth, Zoe Rachel, Jan-Hinrich Nölke, Melanie Schellenberg, Lukas Bauer, Nicholas Schreck, Christoph J. Bender, Kris K. Dreher, Sebastian Regnery, Katharina Weusthof, Manuel Wiesenfarth, Annette Kopp-Schneider, Jürgen Debus, Alexander Seitel, Sebastian Adeberg, Lena Maier-Hein, Thomas Held

“…PAI leverages the photoacoustic effect in order to non-invasively recover functional tissue properties in depths of up to several centimeters. …”
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Engineering STING Nanoadjuvants for spatiotemporally-tailored innate immunity stimulation and cancer vaccination therapy by Fangmin Chen, Huijuan Zhang, Shiqin Li, Siyuan Ren, Lujia Huang, Zhixiong Cai, Lichen Yin, Mingyue Zheng, Xiaolong Liu, Zhiai Xu, Haijun Yu

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Dual associations of gut and oral microbial networks with kidney transplantation by Siming Qu, Yuzheng Gu, Xiaoxue Hou, Min Wei, Mengmeng Wang, Yuya Su, Yinglei Miao, Jinlong Yang, Yang Sun, Zhong Zeng

“…Different network modules tended to exhibit unique functions and showed different responses to transplantation. …”
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Deep learning vulnerability detection method based on optimized inter-procedural semantics of programs by Yan LI, Weizhong QIANG, Zhen LI, Deqing ZOU, Hai JIN

“…In recent years, software vulnerabilities have been causing a multitude of security incidents, and the early discovery and patching of vulnerabilities can effectively reduce losses.Traditional rule-based vulnerability detection methods, relying upon rules defined by experts, suffer from a high false negative rate.Deep learning-based methods have the capability to automatically learn potential features of vulnerable programs.However, as software complexity increases, the precision of these methods decreases.On one hand, current methods mostly operate at the function level, thus unable to handle inter-procedural vulnerability samples.On the other hand, models such as BGRU and BLSTM exhibit performance degradation when confronted with long input sequences, and are not adept at capturing long-term dependencies in program statements.To address the aforementioned issues, the existing program slicing method has been optimized, enabling a comprehensive contextual analysis of vulnerabilities triggered across functions through the combination of intra-procedural and inter-procedural slicing.This facilitated the capture of the complete causal relationship of vulnerability triggers.Furthermore, a vulnerability detection task was conducted using a Transformer neural network architecture equipped with a multi-head attention mechanism.This architecture collectively focused on information from different representation subspaces, allowing for the extraction of deep features from nodes.Unlike recurrent neural networks, this approach resolved the issue of information decay and effectively learned the syntax and semantic information of the source program.Experimental results demonstrate that this method achieves an F1 score of 73.4% on a real software dataset.Compared to the comparative methods, it shows an improvement of 13.6% to 40.8%.Furthermore, it successfully detects several vulnerabilities in open-source software, confirming its effectiveness and applicability.…”
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Relay‐Assisted Communication Over FTR/IFTR Channels by Haider Mehdi, Zakir Hussain, Muhammad Junaid Rabbani, Syed Muhammad Atif Saleem, Syed Areeb Ahmed

“…Also, the expressions for outage probability, success probability and capacity with outage over Terahertz (THz) communication channels are derived by the help of characteristic function (CF). These expressions are functions of THz channel conditions, distances between various communication nodes of the system, diversity scheme parameters and various FTR/IFTR fading channel parameters. …”
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A hybrid critical channels and optimal feature subset selection framework for EEG fatigue recognition by Hanying Guo, Siying Chen, Yongjiang Zhou, Ting Xu, Yuhao Zhang, Hongliang Ding

“…Empirical Mode Decomposition (EMD) is then applied to extract the intrinsic mode components as network nodes, thereby reducing the influence of the number of electrode channels on the brain functional network. …”
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Surface defects in A-type Little String Theories by Baptiste Filoche, Stefan Hohenegger, Taro Kimura

“…Below the scale of the radius of S ⊥ 1 $$ {\mathbbm{S}}_{\perp}^1 $$ , these theories resemble a circular quiver gauge theory with M nodes of gauge group U(N) and matter in the bifundamental representation (or adjoint in the case of M = 1). …”
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Transgelin-2 is upregulated on activated B-cells and expressed in hyperplastic follicles in lupus erythematosus patients. by Kaori Kiso, Hajime Yoshifuji, Takuma Oku, Masaki Hikida, Koji Kitagori, Yoshitaka Hirayama, Toshiki Nakajima, Hironori Haga, Tatsuaki Tsuruyama, Aya Miyagawa-Hayashino

“…In support of this, lymph nodes (LNs) from patients with systemic lupus erythematosus (SLE), in which the intense GC activity have been recognized, showed increased TAGLN2 expression in B-cells compared to control LNs. …”
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Stochastic modeling of sea ice concentration fields for assessment of navigation conditions along the Northern Sea Route by R. I. May, R. B. Guzenko, O. V. Tarovik, A. G. Topaj, A. V. Yulin

“…Values of the ice concentration are generated at the nodes of the spatial grid with 10 km resolution; the model time step is one day. …”
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EFFICIENT DATA STORAGE SYSTEMS FOR MONITORING AND OPTIMIZING THE PERFORMANCE OF PHOTOVOLTAIC PANELS by Antonio Karaganov, Filip Batalov

“…Unlike traditional databases, blockchain is immutable and distributed, allowing for secure storage of information across multiple nodes while preserving its integrity and traceability—even in the event of cyber threats or system failures.…”
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Smart Wireless Sensor Networks (WSNs): A Review on Concepts, Techniques, and Applications by Ali Hassan Sial, Muhammad Shafiq, Zubair Sajid Sial, Saleem Ahmed

“…The overall analysis is dedicated to whether an individual or multiple sinks are active, nodes are static or mobile-friendly, and the entire development is based on the recognition of events to identify the sustainability of the network system to be implemented in the real-world environment. …”
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Advanced Load Balancing Based on Network Flow Approach in LTE-A Heterogeneous Network by Shucong Jia, Wenyu Li, Xiang Zhang, Yu Liu, Xinyu Gu

“…To further improve service quality, low power nodes are overlaid within a macro network, creating what is referred to as a heterogeneous network. …”
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Social Network Analysis: A Novel Paradigm for Improving Community Detection by Rodrigo Hernández, Inmaculada Gutiérrez, Javier Castro

“…One of the most considered philosophies when defining this type of technique is the use of the graph’s adjacency matrix as input and the consideration of modularity as the function to be optimized. We propose an enhancement to this approach to community detection by incorporating high-order relationships between nodes, allowing for a more comprehensive capture of network structure. …”
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Syntactic Analysis of Spatial Structure Characteristics of Traditional Villages Along the Yellow River in Western Shanxi Province by Chenge GAO, Fang WANG

“…The spatial structure of traditional villages creates or constrains space through the interplay of local and global aspects, nodes and networks, connectivity and isolation, and structural integrity and fragmentation. …”
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Defining Biological Networks for Noise Buffering and Signaling Sensitivity Using Approximate Bayesian Computation by Shuqiang Wang, Yanyan Shen, Changhong Shi, Tao Wang, Zhiming Wei, Hanxiong Li

“…The principal component analysis of the posterior provides insight into the nature of the reaction between nodes.…”
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New 3D Diffusion Code Based on The Nodal Polynomial Expansion by Jadna Mara Santos Mendes, Sérgio Barros Paixão, Sergio de Oliveira Vellozo

“…The two group coarse mesh 3D IAEA benchmark has been simulated by NEM3D-1A using different nodes sizes. The VENTURE…”
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