Carboxypeptidase Q(CPQ) promotes glioma progression by inducing M2 macrophage polarization and immunosuppression by Zhihao Qi, Rui Hu, Moyang Qi, JianDong Zuo

“…Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were utilized to predict the potential biological functions of CPQ. …”
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Surrogate-Assisted Multi-Objective Optimization for Simultaneous Three-Dimensional Packing and Motion Planning Problems Using the Sequence-Triple Representation by Ziang Liu, Tomoya Kawabe, Tatsushi Nishi, Shun Ito, Tomofumi Fujiwara

“…A surrogate model is trained to predict the processing time for a given packing solution to reduce the computational burden. …”
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Inversely Designed 1 × 4 Power Splitter With Arbitrary Ratios at 2-μm Spectral Band by Hucheng Xie, Yingjie Liu, Wenzhao Sun, Yujie Wang, Ke Xu, Jiangbing Du, Zuyuan He, Qinghai Song

“…The total transmission efficiencies of all the algorithm-optimized splitters are above 80%, which is predicted by simulations. …”
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Improved analysis with spectral-domain optical coherence tomography angiography for evaluating vascular damage in exfoliation syndrome by Rongpei Zhang, Bingying Lin, Hairui Zhang, Yuncheng Ma, Na Xu, Ling Jin, Zhenyu Wang, Lei Tian, Munire Mohetaer, Aizezi Wumaier, Rongxin Chen, Danping Huang

“…The areas under the receiver operating characteristic curve for the SVC FAZ area and OS VD in predicting XFS were both >0.67. Conclusions: The pixel-level FAZ algorithm and VD map derived from OCTA can reflect microvascular damage in XFS. …”
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Clinical significance of a machine learning model based on short-term changes in NT-proBNP after TAVR by Yu Mao, Mengen Zhai, Ping Jin, Gejun Zhang, Haibo Zhang, Lai Wei, Xiaoke Shang, Jian Liu, Yingqiang Guo, Xiangbin Pan, Yang Liu, Jian Yang

“…The 4-year primary end-point rates in the four groups were 13.1 %, 18.0 %, 26.9 %, and 33.3 % (log-rank, p < 0.001). A model for predicting the incidence of the primary end point was based on the random forest algorithm. …”
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Hygienic substantiation of calculating models for prognosis of toxicity of different classes insecticides (second part) by O.P. Vavrinevych, B.I. Shpak, A.M. Antonenko, S.T. Omelchuk, T.I. Zinchenko

“…The purpose of the research is the scientific substantiation and statistical analysis of the calculation models for predicting the toxicity of insecticides of different classes. …”
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Machine learning-based detoxification enzymes-related genes prognosis model in breast cancer: immune landscape and clinical significance by Jingdi Zhang, Wendi Zhan, Haihong Hu, Hongxia Zhu, Bo Hao, Siyu Wang, Zhuo Li, Zhiming Zhang, Taolan Zhang

“…This paper aims to establish a prognostic model based on detoxification enzymes-related genes to predict breast cancer patient survival. Methods Unsupervised clustering was used to analyze breast cancer samples based on detoxification enzymes-related genes expression. …”
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Leveraging Function Intersectionality and Multi-Modal Cerebrovascular Reactivity Measures for the Derivation of Individualized Intracranial Pressure Thresholds in Acute Traumatic N... by Kevin Y. Stein, Logan Froese, Alwyn Gomez, Amanjyot Singh Sainbhi, Nuray Vakitbilir, Abrar Islam, Tobias Bergmann, Frederick A. Zeiler

“…PRx-based iICP seems to be superior to both PAx- and RAC-based iICP for predicting long-term outcomes. However, further work is needed to identify the ideal cerebrovascular reactivity thresholds for iICP derivation.…”
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Modeling the service life of temporary airfield operational surfaces under multi-pass aircraft trafficking by R.P. Kinser, T.W. Rushing, A.R. Cisko, Mark E. Barkey, P.G. Allison, J.B. Jordon

“…The proposed framework is then used to predict the rate of subgrade deformation for additional lay patterns, which successfully ranked the performance of each relative to full-scale trafficking experiments. …”
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Dexmedetomidine induces immunogenic cancer cell death and sensitizes tumors to PD-1 blockade by Peng Liu, Guido Kroemer, Oliver Kepp, Jonathan Pol, Liwei Zhao, Lucillia Bezu, Allan Sauvat, Jiani Liu, Killian Carnet Le Provost, Andrea Checcoli

“…A machine learning-based algorithm trained with information on the biological effects and molecular descriptors of analgesics, anesthetics, hypnotics and opioids predicted antitumor effects for dexmedetomidine (DEX). …”
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CHILES. IX. Observational and Simulated H i Content and Star Formation of Blue Galaxies in Different Cosmic Web Environments by Nicholas M. Luber, Farhanul Hasan, J. H. van Gorkom, D. J. Pisano, Joseph N. Burchett, Julia Blue Bird, Hansung B. Gim, Kelley M. Hess, Lucas R. Hunt, David C. Koo, Sushma Kurapati, Danielle Lucero, Nir Mandelker, Martin Meyer, Emmanuel Momjian, Daisuke Nagai, Joel R. Primack, Min S. Yun

“…CHILES observes a decline in the H i fraction from filament cores to voids, exactly the opposite of the trend predicted by TNG. CHILES observes an increase in H i fraction at z  = 0.5 → 0 in the voids, while TNG predicts an increase in this time in all environments. …”
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Prevalence, types, risk factors and clinical correlates of anaemia in older people in a rural Ugandan population. by Joseph O Mugisha, Kathy Baisley, Gershim Asiki, Janet Seeley, Hannah Kuper

“…Further studies should be done on unexplained anaemia and serum ferritin levels that predict iron deficiency anaemia in older people.…”
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Research on a Panoramic Image Stitching Method for Images of Corn Ears, Based on Video Streaming by Yi Huangfu, Hongming Chen, Zhonghao Huang, Wenfeng Li, Jie Shi, Linlin Yang

“…<b>Methods:</b> A summary of corn ear panoramic stitching methods under complex backgrounds is presented as follows: 1. a perceptual hash algorithm and histogram equalization were used to extract video frames; 2. the U-Net image segmentation model based on transfer learning was used to predict corn labels; 3. a mask preprocessing algorithm was designed; 4. a corn ear splicing positioning algorithm was designed; 5. an algorithm for irregular surface expansion was designed; 6. an image stitching method based on template matching was adopted to assemble the video frames. …”
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Image preprocessing to enhance phase correlation of featureless images by Joshua Lentz, Hakki Erhan Sevil, David Fries

“…When applied to featureless images, in applications such as cloud tracking, the phase correlation output is degraded by a prominent noise component, which is not predicted by the fundamental mathematical expression for phase correlation. …”
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Measuring high-speed train delay severity: Static and dynamic analysis. by Bing Li, Chao Wen, Shenglan Yang, Mingzhao Ma, Jie Cheng, Wenxin Li

“…This classification aids dispatchers in swiftly identifying and predicting delay extents, thus enhancing mitigation strategies' efficiency. …”
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Borromean supercounterfluids at finite temperatures by Alexandru Golic, Igor Timoshuk, Egor Babaev, Boris Svistunov

“…We formulate and study Borromean XY and loop statistical models, capturing the universal long-range properties and allowing us to perform efficient worm algorithm simulations. Numeric results demonstrate perfect agreement with analytic predictions. …”
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Regulation of replication timing in Saccharomyces cerevisiae. by Rosie Berners-Lee, Eamonn Gilmore, Francisco Berkemeier, Michael A Boemo

“…We also use the model to predict measures of DNA replication dynamics which are yet to be determined experimentally and investigate the potential impacts of variations in firing factor concentrations on DNA replication.…”
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Influence of Absorbing Material Distribution on Double Slope Sound Decay in L-Shaped Room by Mirosław MEISSNER

“…Two different material configurations were considered and their effects on a double slope sound decay were analysed. In order to predict the behaviour of decay curve, a numerical implementation based on the wave theory was applied. …”
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Optimal sampling of tensor networks targeting wave function's fast decaying tails by Marco Ballarin, Pietro Silvi, Simone Montangero, Daniel Jaschke

“…We illustrate the computational advantage provided by our optimal sampling method through various numerical examples, involving condensed matter, optimization problems, and quantum circuit scenarios. Theory predicts up to an exponential speedup reducing the scaling for sampling the space up to an accumulated unknown probability $\epsilon$ from $\mathcal{O}(\epsilon^{-1})$ to $\mathcal{O}(\log(\epsilon^{-1}))$ for a decaying probability distribution. …”
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ATKB-PID: an adaptive control method for micro tension under complex hot rolling conditions by Xinkai Xu, Xiangrong Song, Zheng Qi

“…This method incorporates a linear attention layer and utilizes a K-Nearest Neighbors (KNN) algorithm to predict the optimal learning rate and inertia coefficient under actual operating conditions. …”
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