Network-based transfer of pan-cancer immunotherapy responses to guide breast cancer prognosis by Xiaobao Ding, Lin Zhang, Ming Fan, Lihua Li

“…It highlights the integration of PPI networks to bridge genetic data and clinical phenotypes. …”
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Analysis of anthropogenic transformation of the hydrographic network in the northern part of Lviv according to cartographic sources by Ye. Іvanov, O. Pylypovych

“…The emergence of new and densification of existing urban spaces in Lviv leads to anthropogenic transformation of the hydrographic network. The purpose of the study was to analyse the degree of transformation of water objects in the northern part of the city based on cartographic sources. …”
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Analysis of the lncRNA-Associated Competing Endogenous RNA (ceRNA) Network for Tendinopathy by Bing-Zhe Huang, Yang Jing-Jing, Xiao-Ming Dong, null Zhuan Zhong, null Xiao-Ning Liu

“…Downregulated C10orf71-AS1 could competitively bind with hsa-miR-130a-5p to regulate the COL4A4. Conclusions. Seven important lncRNAs, particularly MIR133A1HG and C10orf71-AS1, were found associated with tendinopathy according to the lncRNA-associated ceRNA network.…”
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Efficacy and safety of pharmacotherapy for cancer cachexia: A systematic review and network meta‐analysis by Hao Chen, Masashi Ishihara, Hiroki Kazahari, Ryusuke Ochiai, Shigeru Tanzawa, Takeshi Honda, Yasuko Ichikawa, Nobuyuki Horita, Hisashi Nagai, Kiyotaka Watanabe, Nobuhiko Seki

“…Methods A systematic review and network meta‐analysis were conducted to assess the effectiveness and safety of different pharmacotherapies for cancer cachexia. …”
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A Novel Antifragility Measure Based on Satisfaction and Its Application to Random and Biological Boolean Networks by Omar K. Pineda, Hyobin Kim, Carlos Gershenson

“…Also, we demonstrated that seven biological systems are antifragile. Our measure and results can be used in various applications of Boolean networks (BNs) including creating antifragile engineering systems, identifying the genetic mechanism of antifragile biological systems, and developing new treatment strategies for various diseases.…”
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Construction and Application of Recognition Model for Black-Odorous Water Bodies Based on Artificial Neural Network by Zhonghua Xu, Changguo Dai, Jing Wang, Lejun Liu, Lei Jiang

“…It can thus be suggested that the sensory description can be accurately recognized by BP neural network. The application results indicate that all seven rivers had black-odorous phenomenon within a year. …”
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A novel voting measure for identifying influential nodes in complex networks based on local structure by Haoyang Li, Xing Wang, You Chen, Siyi Cheng, Dejiang Lu

“…The validity of the presented algorithm is verified through experiments conducted on 12 different real networks of various sizes and structures, directly comparing it with 7 competing algorithms.Empirical results indicate a superiority of the presented algorithm over the remaining seven competing algorithms with respect to node differentiation ability, effectiveness, and ranked list accuracy.…”
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Using Reflectance Spectroscopy and Artificial Neural Network to Assess Water Infiltration Rate into the Soil Profile by Naftali Goldshleger, Alexandra Chudnovsky, Eyal Ben-Dor

“…We explored the effect of raindrop energy on both water infiltration into soil and the soil's NIR-SWIR spectral reflectance (1200–2400 nm). Seven soils with different physical and morphological properties from Israel and the US were subjected to an artificial rainstorm. …”
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Sequence-variable attention temporal convolutional network for volcanic lithology identification based on well logs by Hanlin Feng, Zitong Zhang, Chunlei Zhang, Chengcheng Zhong, Qiaoyu Ma

“…Abstract A Sequence-Variable Attention Temporal Convolutional Network (SVA-TCN) is proposed for lithology classification based on well log data. …”
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Applicability of Artificial Neural Networks to Predict Mechanical and Permeability Properties of Volcanic Scoria-Based Concrete by Aref M. al-Swaidani, Waed T. Khwies

“…Feed-forward backpropagation neural networks have been used. The ANN models have been established by incorporation of the laboratory experimental data and by properly choosing the network architecture and training processes. …”
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Integrated Network Pharmacology and Gut Microbiota Study on the Mechanism of Huangqin Decoction in Treatment Diabetic Enteritis by Xiaomin Xu, Cheng Fang, Fang Lu, Shumin Liu

“…Objective. Using network pharmacology and gut microbiota sequencing to investigate the probable mechanism of Huangqin decoction in the treatment of Diabetic enteritis (DE). …”
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Testing convolutional neural network based deep learning systems: a statistical metamorphic approach by Faqeer ur Rehman, Clemente Izurieta

“…., convolutional neural networks (CNNs)) that have a stochastic nature (because of randomly initializing the network weights) in their training. …”
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Quadratic programming model for calibration of mine ventilation network under limited measured air quantities by Fengliang WU, Tong WANG

“…The model that only considers equality constraints may obtain minimal or even negative unintentional air resistance values and the model considering the lower limit value of resistance can confine the resistance within a reasonable range, avoiding the correction of negative air resistance values for seven branches in the example. Using the corrected air resistance for mine ventilation network calculation, the calculated air quantities and fan pressures are exactly the same as the measured values, eliminating the tedious manual adjustment of air resistance in network calculation method.…”
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Classification of the Crystal Structures of Orthosilicate Cathode Materials for Li-Ion Batteries by Artificial Neural Networks by Mookala Premasudha, Bhumi Reddy Srinivasulu Reddy, Kwon-Koo Cho, Ahn Hyo-Jun, Jae-Kyung Sung, Nagireddy Gari Subba Reddy

“…An artificial neural network (ANN) model with a 6-22-22-22-1 architecture was trained on 85% of the data and tested on the remaining 15%, achieving an impressive accuracy of 97.3%. …”
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Network Meta-Analysis of Once Weekly Selinexor-Bortezomib-Dexamethasone in Previously Treated Multiple Myeloma by Michael Dolph, Gabriel Tremblay, Adrienne M Gilligan, Hoyee Leong

“…Performing head-to-head comparisons of all treatment options is not feasible. Thus, network meta-analyses play an important role in allowing health-care decision makers to compare the effectiveness of treatment options. …”
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Exploring the Cardioprotective Mechanisms of Ligusticum wallichii in Myocardial Infarction Through Network Pharmacology and Experimental Validation by Yang H, Cao J, Zhou L, Chen J, Tang J, Chen J, Yin L, Xie L, Li J, Luo J

“…Molecular docking was employed to validate the binding affinities between the core targets and the bioactive components. The findings from network pharmacology analysis were corroborated through in vitro and in vivo experiments.Results: Seven active ingredients from Ligusticum wallichii were identified, corresponding to 122 targets. …”
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Application of artificial neural networks for predictive model of municipal solid waste collection in tourist cities by T. Kridakorn Na Ayutthaya, N. Jakrawatana, D. Rinchumphu, V. Owatsakul

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Uji Parameter dan Arsitektur Convolutional Neural Network untuk Mendeteksi Citra Wajah Bermasker by Dewi Novita Sari, Muh. Arif Rahman, Randy Cahya Wihandika

“…Four model architectures are built with seven layers using a combination of these parameters. …”
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Constructing an Artificial Intelligent Deep Neural Network Battery for Tongue Region Segmentation and Tongue Characteristic Recognition by Tian-Xing Yi, Jian-Xin Chen, Xue-Song Wang, Meng-Jie Kou, Qing-Qiong Deng, Xu Wang

“…In the second stage, a residual network was employed to classify seven important tongue characteristics. …”
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A Novel Carbon Price Fluctuation Trend Prediction Method Based on Complex Network and Classification Algorithm by Hua Xu, Minggang Wang

“…In order to promote the accuracy of the forecasting model, this paper proposes the idea of integrating network topology information into carbon price data; that is, carbon price data are mapped into a complex network through a visibility graph algorithm, and the network topology information is extracted. …”
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