Identified a novel prognostic model of HCC basing on virus signature for guiding immunotherapy by Shizhuan Huang, Dehai Wu, Guanqun Liao, Ming Liang, Yaohui Zhang, Haotian Wu, Daowei Tang, Dixiang Wen, Bo Jiang, Shan Yu, Sheng Tai

“…In this study, we aimed to construct a virus-based prognostic model for risk assessment and prognosis prediction in patients with hepatocellular carcinoma (HCC) and determine the most appropriate virus as a candidate vector for oncolytic virus immunotherapy. Microbiome and RNA sequencing data and clinical information were obtained from The Cancer Genome Atlas, and viruses with prognostic value were identified (Deltabaculovirus, Sicinivirus, and Cytomegalovirus) to construct the prognostic model. …”
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Multi-behavioral job recommendation integrating knowledge graph by Bin LIU, Xiaoyu LEI, Gege LIU, Shiyuan ZHAN, Xin GAO, Xiaoyan YANG

“…Firstly,the user′s historical records under different behaviors were used as user-interested seed sets,and preference propagation was carried out along the relationships between nodes in the knowledge graph to infer the user′s potential preferences and enhance user representation; Then,the user representation vector and position representation vector were input into the prediction function to calculate the interaction probability of the user under each behavior type,and the weighted sum was used as the interaction probability of the target behavior. …”
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Identification of Key Modules of Lung Cancer in Gene Regulatory Network using Greedy Modularity Optimization Approach by Zahra Sadat Mirghadery, Mehrdad Kargari, Mostafa Akhavan-Safar

“…These abnormalities are transferred to other genes through specific interactions between genes, leading to disruptions in the normal function of cells. The result of these cell abnormalities will be the occurrence of cancer. …”
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Energy-efficiency priority based beamforming design and optimization in IRS-assisted SWIPT system by Xiaorong XU, Weiwei ZHU, Jianrong BAO, Weiping ZHU, Wei FENG, Yingbiao YAO

“…Intelligent reflecting surface (IRS)-assisted simultaneous wireless information and power transfer (SWIPT) system is set as research background.Joint design and optimization of energy-efficiency priority based active beamforming at multi-antenna transmitter and passive beamforming at IRS were investigated.The optimization objective was to maximize minimum energy-efficiency, which was subject to transmitter power control, energy constraint at energy harvesting (EH) receiver and IRS phase shift constraint.Alternating direction method of multipliers (ADMM) was implemented to solve this non-linear non-convex optimization problem.Firstly, the fraction objective function was transformed via Dinkelbach’s approach.Singular value decomposition (SVD) andsemi-definite relaxation (SDR) were applied to obtain active beam forming vector at transmitter.Simulation results indicate that, IRS assisted SWIPT could significantly reduce energy threshold at EH receiver.The achievable energy-efficiency of the proposed strategy is 300 KB/J when total circuit power consumption is -15 dBm.Maximum energy-efficiency can be achieved with the maximum numbers of passive reflecting elements and transmitter antennas.…”
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Two-Dimensional DOA Estimation in Compressed Sensing with Compressive-Reduced Dimension-lp-MUSIC by Weijian Si, Xinggen Qu, Lutao Liu, Zhiyu Qu

“…The arc-tangent is a one-to-one function and allows the value of the argument to be larger than unity so that the proposed method never fails. …”
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Economic impacts of the maritime silk road initiative on the Suez Canal by Anas Rakha, Khadiga El-Aasar

“…This study uses annual data from 1990 to 2022 to examine this dynamic relationship. We use the Vector Auto-Regressive (VAR) model and Impulse Response Function to account for the interaction effect of the variables. …”
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Prediction and Mapping of Soil Total Nitrogen Using GF-5 Image Based on Machine Learning Optimization Modeling by LIU Liqi, WEI Guangyuan, ZHOU Ping

“…Three machine learning algorithms were introduced: Partial least squares regression (PLSR), backpropagation neural network (BPNN), and support vector machine (SVM) driven by a polynomial kernel function (Poly). …”
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Genome editing for sustainable agriculture in Peru: advances, potential applications and regulation by Marilu Mestanza, Marilu Mestanza, Angel David Hernández-Amasifuen, Alexandra Jherina Pineda-Lázaro, Dennis Eriksson, Juan Carlos Guerrero-Abad, Juan Carlos Guerrero-Abad

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The Impact of Tax Morality on Tax Evasion: Evidence of EU Countries by Oleksiy Mazurenko, Inna Tiutiunyk, Lilia Derkach

“…A set of direct and indirect factors that affect the changing trends of the main indicators of its functioning and determine the key vectors of state policy define the pace of the country’s economic development. …”
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Qualitative assessment of Shiraz wastewater treatment plant effluent for different purposes by Amir Bahrami, Fatemeh Ahadi, Mehdi Bahrami, Fateme Aghamir

“…Then, while comparing the values of these parameters with the standard of the Environmental Protection Organization of Iran, the removal efficiencies of these parameters were calculated and finally, the quality of the effluent was investigated for use in various sectors.Results and discussion: The results showed that the removal efficiency of BOD5, COD, TSS, NH3, detergents, and fat-oil-grease in this treatment plant is 85, 85, 67, 64, 94, and 68.5%, respectively. …”
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Traffic Network Equilibrium Problems with Capacity Constraints of Arcs and Linear Scalarization Methods by X. Q. Tian, Y. D. Xu

“…Traffic network equilibrium problems with capacity constraints of arcs are studied. A (weak) vector equilibrium principle with vector-valued cost functions, which are different from the ones in the work of Lin (2010), and three kinds of parametric equilibrium flows are introduced. …”
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SELECTION OF SOLUTIONS FOR DESIGNING OPEN SYSTEMS BASED ON ANALYSIS OF VARIANTS WITH RANDOM WEIGHTS by A. A. Pastushkov, V. K. Batovrin

“…It is shown that the appropriate definition of the operations of addition and multiplication makes it possible to define a function on the semiring. This function satisfies the norm axioms of vectors and coincides in structure with the expression for the upper bound of the confidence interval. …”
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Multivariate Spatial Autoregressive Model with Latent Variables: Application to Economic Growth Modeling by Anik Anekawati, Purhadi, Mohammad Rofik

“…Its mean value was the estimated vector of the exogenous variables. …”
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Paley and Hardy's inequalities for the Fourier-Dunkl expansions by Anis Elgarna

“…Establishing Paley and Hardy's inequalities in these settings is a participation in extending the Dunkl harmonic analysis as it has many applications in mathematical physics and in the framework of vector valued extensions of multipliers.…”
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Technical efficiency in agriculture: A decade-long meta-analysis of global research by Freddy Ruzhani, Abbyssinia Mushunje

“…The beta regression meta-analysis results indicate that the translog functional form leads to higher mean technical efficiency values than the cobb-Douglas and other functional forms, while panel data studies yield lower mean technical efficiency values than cross-sectional studies. …”
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Reducing the dynamic range of infrared images based on block-priority equalization and compression of histograms by S. I. Rudikov, V. Yu. Tsviatkou, A. P. Shkadarevich

“…The method of local image histogram equalization based on the integral distribution function of brightness is investigated. To transform the brightness of a pixel, this method uses an approximation of the local alignment values of the nearest blocks of pixels of original image. …”
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CEEMDAN-Based Permutation Entropy: A Suitable Feature for the Fault Identification of Spiral-Bevel Gears by Lingli Jiang, Hongchuang Tan, Xuejun Li, Liman Chen, Dalian Yang

“…Next, the permutation entropy values of the optimal IMFs are calculated. In order to obtain accurate permutation entropy values, the two key parameters, namely, embedding dimension and delay time, are optimized by using the overlapping parameter method. …”
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Optimization of Multi-Source Remote Sensing Soil Salinity Estimation Based on Different Salinization Degrees by Huifang Chen, Jingwei Wu, Chi Xu

“…Specifically, this study integrated in situ hyperspectral data and satellite multispectral data using spectral response functions. Subsequently, machine learning methods such as random forest (RF), extreme gradient boosting (XGBoost), support vector machine (SVM), and multiple linear regression (MLR) were employed, in combination with sensitive spectral indices, to develop a multi-source remote sensing soil salinity estimation model optimized for different salinization degrees (mild or lower salinization vs. moderate or higher salinization). …”
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Cheating Detection in Online Exams Using Deep Learning and Machine Learning by Bahaddin Erdem, Murat Karabatak

“…As a result of this study, it has been shown that the application of the most appropriate layer functions and parameter selection that will increase performance can be effective in estimating complex problems and target values that cannot be solved using classical mathematical models. …”
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THE ROLE OF DESIGN AND AESTHETIC ELEMENTS ON THE DERMATOCOSMETIC PRODUCTS MARKET by NEACȘU NICOLETA ANDREEA, POPESCU ANCA

“…In the highly competitive dermatocosmetic sector, visual identity, packaging design, and overall product aesthetics can differentiate a brand and build consumer trust. …”
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