Identification and analysis of neutrophil extracellular trap-related genes in periodontitis via bioinformatics and experimental verification by Miao Yu, Zhenqi Ye, Zixin Ye, Yaping Wu, Xiang Wu

“…Differentially expressed NRGs (DE-NRGs) were identified and functionally annotated. Then, machine learning algorithms were exploited to screen hub NRGs, and a predictive model was constructed based on these hub NRGs. …”
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The Impact of Economic Policies on Housing Prices: Approximations and Predictions in the UK, the US, France, and Switzerland from the 1980s to Today by Nicolas Houlié

“…I show that house prices can be modeled using machine learning (kNN and tree-bagging) and a small dataset composed of macroeconomic factors (MEF), including an inflation metric (CPI), US Treasury rates (10-yr), Gross Domestic Product (GDP), and portfolio size of central banks (ECB, FED). …”
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ADVANCEMENTS AND INTEGRATION OF BIOPHYSICAL, SOCIO-ECONOMIC, AND LOCAL KNOWLEDGE IN AGRICULTURAL LAND SUITABILITY ASSESSMENTS: A SYSTEMATIC LITERATURE REVIEW by Norasmanizan Abdullah, AMIRULIKHSAN ZOLKAFLI, Mazni Omar

“…Results indicate that GIS-MCDM approaches dominate, representing 65% of the studies, with machine learning and hybrid methods contributing 20% and 15%, respectively. …”
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Optimizing DNA Sequence Classification via a Deep Learning Hybrid of LSTM and CNN Architecture by Elias Tabane, Ernest Mnkandla, Zenghui Wang

“…It contrasts traditional machine learning with advanced deep learning approaches to ascertain performance with respect to genomic data complexity. …”
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Investigation of the effects of ultrasonic assisted face turning with CO2 cooling on cutting forces, residual stress, and surface quality by Matin Mirzabagherian, Saeid Amini, Masuod Bayat

“…All tests were performed in the UAFT mode. Machining forces were recorded using a dynamometer, and surface integrity was assessed through high-resolution imaging using a video measuring machine (VMM). …”
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Analysis of the Cogging Torque Reduction in Permanent Magnet Generators for a Very Low Wind Speed by Syamsir Abduh, S. Karunanithi, Tajuddin Nur

“…The permanent magnet generator’s magnetic flux density in the core is another crucial factor affecting the machine’s efficiency. The present study introduces this parameter. …”
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ANN-based two hidden layers computational procedure for analysis of heat transport dynamics in polymer-based trihybrid Carreau nanofluid flow over needle geometry by Adil Darvesh, Fethi Mohamed Maiz, Basma Souayeh, Luis Jaime Collantes Santisteban, Hakim AL. Garalleh, Afnan Al Agha, Lucerito Katherine Ortiz García, Nicole Anarella Sánchez-Miranda

“…Findings: The velocity profile of a trihybrid nanofluid decreases with an increasing values of Weissenberg number and magnetic parameter but in case of numeric growth in Carreau index parameter, the magnitude of velocity is increasing due to shear-thinning behavior. …”
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Experimental demonstration of dark current mitigation by an over-inserted plug in a normal conducting very-high-frequency gun by Xing-Heng Wang, Guan Shu, Hou-Jun Qian, Xu-Dong Li, Zi-Peng Liu, Zeng-Gong Jiang, Hao Meng, Cao-Cao Xing, Qin Zhou, Hai-Xiao Deng

“…The gun dark current emission leads to beam loss along the FEL machine, therefore, it is a critical parameter for the performance of the cw gun. …”
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Scaling photonic systems-on-chip production with neural networks by Yadav Ksenia, Bidnyk Serge, Balakrishnan Ashok

“…We describe our use of deep learning to optimize the multi-dimensional parameter space of systems-on-chip as an important step towards the scalable production of photonic solutions and their widespread integration into high-volume applications. …”
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LFM: An R package for laplace factor model by Siqi Liu, Guangbao Guo

“…The Laplace Factor Model (LFM) is a valuable mathematical tool used in statistics, machine learning, and data analysis. It uses the Laplace distribution to capture data sparsity and uncertainty, effectively handling complex, large-scale data. …”
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Flow-based nonperturbative simulation of first-order phase transitions by Yang Bai, Ting-Kuo Chen

“…Using a (2+1)-dimensional real scalar model as an example, we demonstrate the effectiveness of our PFMCMC method in modeling highly hierarchical order parameter probability distributions and simulating critical bubble configurations. …”
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Identifying quantum phase transitions with minimal prior knowledge by unsupervised learning by Mohamad Ali Marashli, Ho Lai Henry Lam, Hamam Mokayed, Fredrik Sandin, Marcus Liwicki, Ho-Kin Tang, Wing Chi Yu

“…In this work, we proposed a novel approach for identifying quantum phase transitions in one-dimensional quantum many-body systems using AutoEncoder (AE), an unsupervised machine learning technique, with minimal prior knowledge. …”
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Influence of Initial Contact Geometry on Mechanical Properties in Friction Welding of Dissimilar Materials Aluminum 6351 T6 and SAE 1020 Steel by Marlon A. Pinheiro, Alexandre Q. Bracarense

“…The methodology consisted of friction weld aluminum bars with different initial contact geometry with steel bars in a machine specially developed for the application. The results indicated the influence of this parameter on the mechanical properties of the welded joint.…”
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Fault Diagnosis of Bearing by Utilizing LWT-SPSR-SVD-Based RVM with Binary Gravitational Search Algorithm by Sheng-wei Fei

“…The fault diagnosis method of bearing based on lifting wavelet transform (LWT)-self-adaptive phase space reconstruction (SPSR)-singular value decomposition (SVD)-based relevance vector machine (RVM) with binary gravitational search algorithm (BGSA) is presented in this study, among which LWT-SPSR-SVD (LSS) is presented for feature extraction of the bearing vibration signal, the dynamic characteristics of lifting wavelet coefficients' (LWCs') reconstructed signals of the bearing vibration signal can be reflected by SPSR for LWCs' reconstructed signals of the bearing vibration signal, and BGSA is used to select the embedding space dimension and time delay of phase space reconstruction (PSR) and kernel parameter of RVM. …”
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A non-optically active lake salinity dataset by satellite remote sensing by Mingming Deng, Ronghua Ma, Lixin Wang, Minqi Hu, Kun Xue, Zhigang Cao, Junfeng Xiong, Zhengyang Yu

“…Abstract Water salinity characterizes the physicochemical properties of natural water, serving as an essential parameter for assessing lake water quality. However, the efficiency of remote sensing inversion of water salinity is limited as salinity is a non-optically active parameter, leading to the lack of a pixel-scale lake salinity dataset. …”
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The Role of Overflow on the Mechanical Propert ies of 3D Printed PLA by M. Axinte, D.L. Chicet, R. Chelariu, R.I. Comăneci

“…In this paper it was studied the effect of process parameters variation on the roughness and mechanical properties of the 3D-printed samples. …”
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Using a Bodily Weight-Fat Scale for Cuffless Blood Pressure Measurement Based on the Edge Computing System by Shing-Hong Liu, Bo-Yan Wu, Xin Zhu, Chiun-Li Chin

“…The feature included two calibration-based parameters and one calibration-free parameter was used to estimate BP with XGBoost. …”
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Construction of a Discrete Elemental Model for Clayey Soil Considering Pressure–Sinkage Nonlinear Relationship to Investigate Stress Transfer by Zhuohuai Guan, Dong Jiang, Min Zhang, Haitong Li, Mei Jin, Tao Jiang

“…To ensure the development of reliable DEM simulations, proper contact model selection and parameter calibration are essential. In this research, a DEM parameter calibration method that could represent the nonlinear relationship between clayey soil pressure and sinkage at different moisture contents was proposed. …”
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Interactions between two grid PMSG wind turbines: A perspective on subsynchronous oscillations by Cheng Yang, Gangui Yan, Yupeng Wang, Lin Yue, Fu Guo, Mingsen Shi

“…The existing research mainly focused on SSO stability of single-machine equivalent system, but fails to fully examine the influence of parameter differences on the stability of paralleled PMSGs and ignores the influence of interactions between units on SSO characteristics. …”
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Design and experiment of air-suction drum-type seedling seeder for irregular-shaped vegetable seeds by Yanjun Li, Yunqiang Liu, Yichao Ning, Hongxin Wu, Yaqian Zhao

“…The results of the study can provide a reference for the research and development of the irregular-shaped vegetable seedling seeding machine.…”
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