Inhomogeneous Illumination Image Enhancement Under Extremely Low Visibility Condition by Libang Chen, Jinyan Lin, Qihang Bian, Yikun Liu, Jianying Zhou

“…Maximum Histogram Equalization (MHE) is used to achieve high contrast while maintaining fidelity to the original content. We evaluated our algorithm using data collected from both a fog chamber and outdoor environments and performed comparative analyses with existing methods. …”
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Performance of 256QAM in LTE-Hi indoor scenario by Shan LIU, Cheng TAO, Liu LIU

“…In order to solve the traffic explosion of indoor and hotspots,LTE-Hi was put forward by 3GPP organization in Release12.Due to the coverage particularity of indoor and hotspots scenarios,the organization introduced 256QAM to improve system performance.According to the 256QAM constellation given in the standard,a soft demodulation algorithm based on border distance decision was deduced.Through a simulation of the UE SINR distribution in the LTE-Hi scenario,the feasibility of the 256QAM was proved and according to the CQI/MCS/TBS signaling table changed for 256QAM,link level simulation showed the 256QAM and 64QAM throughput in comparison under different EVM index.Finally,the system performance with and without the introduction of 256QAM under different scenarios was evaluated.…”
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Performance of 256QAM in LTE-Hi indoor scenario by Shan LIU, Cheng TAO, Liu LIU

“…In order to solve the traffic explosion of indoor and hotspots,LTE-Hi was put forward by 3GPP organization in Release12.Due to the coverage particularity of indoor and hotspots scenarios,the organization introduced 256QAM to improve system performance.According to the 256QAM constellation given in the standard,a soft demodulation algorithm based on border distance decision was deduced.Through a simulation of the UE SINR distribution in the LTE-Hi scenario,the feasibility of the 256QAM was proved and according to the CQI/MCS/TBS signaling table changed for 256QAM,link level simulation showed the 256QAM and 64QAM throughput in comparison under different EVM index.Finally,the system performance with and without the introduction of 256QAM under different scenarios was evaluated.…”
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Targeted inhibition of Gus-expressing Enterococcus faecalis to promote intestinal stem cell and epithelial renovation contributes to the relief of irinotecan chemotoxicity by dehyd... by Ruiyang Gao, Bei Yue, Cheng Lv, Xiaolong Geng, Zhilun Yu, Hao Wang, Beibei Zhang, Fangbin Ai, Ziyi Wang, Donghui Liu, Zhengtao Wang, Kaixian Chen, Wei Dou

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The application of compressed sensing on tumor mutation burden calculation from overlapped pooling sequencing data by Yue Cui, Yi Qiao, Rongming An, Xuan Pan, Jing Tu

“…The performance of these two algorithms was evaluated. The BP algorithm consistently performed well across all cases, albeit necessitating extended computational time. …”
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IDEEA: information diffusion model for integrating gene expression and EEG data in identifying Alzheimer’s disease markers by Enes Ozelbas, Tuba Sevimoglu, Tamer Kahveci

“…We evaluated various aspects of our approach, including the genetic algorithm performance, band-pair association and gene interaction topology. …”
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Diagnostic potential of salivary microbiota in persistent pulmonary nodules: identifying biomarkers and functional pathways using 16S rRNA sequencing and machine learning by Xiao Zeng, Qiong Ma, Chun-Xia Huang, Jun-Jie Xiao, Xi Fu, Yi-Feng Ren, Yu-Li Qu, Hong-Xia Xiang, Mao Lei, Ru-Yi Zheng, Yang Zhong, Ping Xiao, Xiang Zhuang, Feng-Ming You, Jia-Wei He

“…Saliva samples were subjected to sequencing of the V3–V4 region of the 16S rRNA gene to assess microbial diversity and differential abundance. Seven advanced machine learning algorithms (logistic regression, support vector machine, multi-layer perceptron, naïve Bayes, random forest, gradient boosting decision tree, and LightGBM) were utilized to evaluate performance and identify key microorganisms, with fivefold cross-validation employed to ensure robustness. …”
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A single-snapshot inverse solver for two-species graph model of tau pathology spreading in human Alzheimer’s disease by Zheyu Wen, Ali Ghafouri, George Biros, the Alzheimer’s Disease Neuroimaging Initiative (ADNI)

“…This optimization problem is solved with a projection-based quasi-Newton algorithm. We evaluate the performance of our method on both synthetic and clinical data. …”
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Azithromycin in the complex therapy of COVID-19. Advantages and effectiveness of the use of the dispersed form in outpatient settings by D. S. Sukhanov, V. S. Maryushkina, D. Yu. Azovtsev, S. V. Okovity

“…The pathogenetic mechanisms of COVID-19 predisposing to the development of community-acquired pneumonia and their differential diagnostic criteria are considered. The necessity of reasonable prescribing of antibiotics is emphasized. …”
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Automated extracellular volume fraction measurement for diagnosis and prognostication in patients with light-chain cardiac amyloidosis. by In-Chang Hwang, Eun Ju Chun, Pan Ki Kim, Myeongju Kim, Jiesuck Park, Hong-Mi Choi, Yeonyee E Yoon, Goo-Yeong Cho, Byoung Wook Choi

“…A semi-automated deep learning algorithm (Myomics-Q) was used for the analysis of the CMR images. …”
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Investigating the Prognostic Role of Telomerase-Related Cellular Senescence Gene Signatures in Breast Cancer Using Machine Learning by Qiong Li, Hongde Liu

“…Additionally, pseudo-time trajectory analysis and intercellular communication mapping provided insights into the dynamic evolution of the tumor microenvironment. Immunohistochemical (IHC) validation using data from the Human Protein Atlas confirmed differential protein expression between normal and tumor tissues for several of the selected genes, reinforcing their biological relevance and clinical utility. …”
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Cementor: A toolbox to generate bio-cemented soils with specific microstructures by Aoxi Zhang, Anne-Catherine Dieudonné

“…It provides the flexibility of modelling bio-cemented soils with precipitates in the form of contact cementing, grain bridging and coating, and combinations of these distribution patterns. The algorithm is described in detail in this paper, and the impact of the precipitated carbonates on the soil microstructure is evaluated. …”
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Spectral-based regression model for destriping of abnormal pixel values in PRISMA hyperspectral image by Payam Sajadi, Mehdi Gholamnia, Stefania Bonafoni, Francesco Pilla

“…The modeling performance was evaluated based on the statistical difference between the reconstructed images’ pixel values (reflectance) and their corresponding original pixel values. …”
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Replica exchange enhanced adaptively weighted stochastic gradient Langevin dynamics for Bayesian sampling and optimization by Zhenqing Wu, Wenwu Gong, Ziying Yu, Liuxin Zhu, Lili Yang

“…The 1/k-ensemble and replica exchange methods are complementary: the 1/k-ensemble method mitigates the risk of the replica exchange method excessively exploring distribution tails, while the replica exchange method enhances the global exploration capability of the 1/k-ensemble method. The proposed algorithm has been empirically evaluated across various experiments, demonstrating its efficacy in navigating complex energy landscapes. …”
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Comparison of quality control methods for automated diffusion tensor imaging analysis pipelines. by Seyyed M H Haddad, Christopher J M Scott, Miracle Ozzoude, Melissa F Holmes, Stephen R Arnott, Nuwan D Nanayakkara, Joel Ramirez, Sandra E Black, Dar Dowlatshahi, Stephen C Strother, Richard H Swartz, Sean Symons, Manuel Montero-Odasso, ONDRI Investigators, Robert Bartha

“…For the simulated DTI datasets, the measure used to evaluate the performance of the pipelines was the normalized difference between the mean DTI metrics measured in GM and WM regions and the corresponding ground truth DTI value. …”
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Redistribution of tractive force per axle for electric locomotives with asynchronous traction motors by N. D. Shilin, S. N. Prokof'ev

“…The developed mathematical model allows evaluating the realisation of the tractive force of a locomotive as close as possible to that specified by the locomotive throttle under conditions of a changing adhesion coefficient and its heterogeneity under different wheelsets of the locomotive. …”
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Studies and Rejection of Intercrystal Crosstalk on FPGA in a High-Energy Photon-Counting System by Jiahao Chang, Huaxia Zhang, Shibo Jiang, Zhifang Wu, Shuo Xu

“…The 250 mm Fe steel penetration model is used to evaluate the proposed algorithm, showing improved radiation image quality, particularly with a detector window size of two, which performs better under low-count-rate conditions. …”
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Tracking and climbing behavior recognition of heavy-duty trucks on roadways by Lei Tang, Jingchi Jia, Zongtao Duan, Jingyu Ma, Xin Wang, Weiwei Kong

“…This article presents a unified tracking and behavior recognition algorithm that can model the mobility of heavy-duty trucks on long inclined roadways. …”
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Modified tree-based selection in hierarchical mixed-effect models with trees: A simulation study and real-data application by Asrirawan, Khairil Anwar Notodiputro, Budi Susetyo, Sachnaz Desta Oktarina

“…These methods utilize the classification and regression trees (CART) algorithm to select the best tree through a backfitting algorithm. …”
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Possibilities of using a FRAX® risk calculator for 10-year probability of fractures assessment in patients with rheumatoid arthritis by O. A. Nikitinskaya, N. V. Toroptsova, E. L. Nasonov

“…Early detection of individuals at high risk for osteoporotic fractures among RA patients allows timely prevention of OP and its complications.Objective: to evaluate the diagnostic possibilities of using a FRAX® calculator without introducing femoral neck bone mineral density (BMD) into the algorithm, as well as different therapeutic intervention thresholds to identify RA patients who need anti-osteoporotic therapy.Subjects and methods. …”
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