Single-cell sequencing combined with machine learning to identify glioma biomarkers and therapeutic targets by Yu Yan, Zhengmin Chu, Qi Zhong, Genghuan Wang

“…Further analyses examined immune infiltration patterns and functional pathways. Importantly, we analyzed the relationship between prognostic-related genes and ubiquitination, and further characterized the characteristics of ubiquitination-related prognostic genes. …”
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Individualized spatial network predictions using Siamese convolutional neural networks: A resting-state fMRI study of over 11,000 unaffected individuals. by Reihaneh Hassanzadeh, Rogers F Silva, Anees Abrol, Mustafa Salman, Anna Bonkhoff, Yuhui Du, Zening Fu, Thomas DeRamus, Eswar Damaraju, Bradley Baker, Vince D Calhoun

“…Many neuroimaging studies have demonstrated the potential of functional network connectivity patterns estimated from resting functional magnetic resonance imaging (fMRI) to discriminate groups and predict information about individual subjects. …”
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A conceptual root zone model to calculate the application amount and frequency of water available for recharge by Francisco Flores-López, David Arrate, Mehrdad Bastani

“…The method is based on soil-land use combination, and crop saturation tolerance considering seasonal patterns during a long-term application of water available for recharge. …”
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Evaluation of K-Means Algorithm for Faulted Landforms Extraction and Offset Measurement With an Example From the Eastern Kunlun Fault by Shengchao Zhou, Zhou Lin

“…Accurate offset measurement is crucial for recovering the size of past earthquakes and understanding the recurrence patterns of strike-slip faults. Traditional methods, which rely on manual delineation of displaced geomorphic markers from satellite images, often introduce significant uncertainties. …”
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MODELING OF DEEP CURRENTS IN THE JAPAN SEA: RELATIONSHIP WITH THE CURRENTS IN THE THERMOCLINE LAYER by O. O. Trusenkova

“…The main simulated patterns are the cyclonic gyres along the sea margins and in the deep basins and the anticyclonic circulation above underwater rises, that generally corresponds with the schemes based on deep floats tracking. …”
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Machine Learning Model Coupled with Graphical User Interface for Predicting Mechanical Properties of Flax Fiber by T. Nageshkumar, Prateek Shrivastava, L. Ammayapan, Manisha Jagadale, L. K. Nayak, D. B. Shakyawar, Indran Suyambulingam, P. Senthamaraikannan, R. Kumar

“…In this study, a total of 432 patterns of input and output parameters obtained from laboratory experiments were used to develop machine learning algorithms (Random forest, support vector, and XGBoost). …”
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Rainfall-induced Landslide Susceptibility Prediction Considering Spatial Heterogeneity by ZHANG Xingfu, JIANG Yuanjun, ABI Erdi

“…Inputs such as terrain features, soil characteristics, vegetation indices, and rainfall patterns were utilized to train and evaluate the models. …”
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Quantifying Body Motion Synchrony in Autism Spectrum Disorder Using a Phase Difference Detection Algorithm: Toward a Novel Behavioral Biomarker by Jinhwan Kwon, Hiromi Kotani

“…A total of 72 participants (36 typically developing TD–TD and 36 TD–ASD) were divided into dyads. …”
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Three‐dimensional structural‐material models of the formation of the Nyurbinskaya and Botuobinskaya kimberlite pipes (Yakutian Diamondiferous Province, Russia) by E. V. Serebryakov, A. S. Gladkov, D. A. Koshkarev

“…Based on this more comprehensive and integrated approach, the existing fault patterns were clarified in detail; elements of the internal fault structure were mapped; fault azimuths and dip angles were estimated; and thickness values were obtained. …”
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Non-invasive liquid biopsy based on transcriptomic profiling for early diagnosis of occult peritoneal metastases in locally advanced gastric cancer by Ping’an Ding, Haotian Wu, Jiaxiang Wu, Tongkun Li, Renjun Gu, Lilong Zhang, Xiaoman Niu, Jinchen He, Jiaxuan Yang, Peigang Yang, Honghai Guo, Yuan Tian, Ning Meng, Xiaolong Li, Zhenjiang Guo, Lingjiao Meng, Qun Zhao

“…A 4-mRNA panel (BUB1, SPC25, CT83, MMP3) integrated with clinical features was developed into a Risk Stratification Assessment (RSA) model, demonstrating superior predictive accuracy in multiple cohorts with an area under the curve (AUC) of 0.836 in training and 0.882 in validation. …”
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Psychological implications of early marriages: the unhealed wombs and shattered dreams by Shezah Khalid, Abdul Wahab Yousafzai

“…Borderline personality disorder is a complex psychiatric condition characterized by a pervasive pattern of instability in interpersonal relationships, self-identity, and affective regulation. …”
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Regularities of crustal faulting and tectonophysical indicators of fault metastability by Yu. L. Rebetsky

“…These regularities support the term “metastability of the state of fault zone” (introduced to seismology from the physics of the states of matter) and justify it by a specific distribution pattern of stress values prior to the mega-earthquake. …”
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Design of a Micro-Plant Factory Using a Validated CFD Model by Xinxin Chen, Tengyuan Hou, Shulin Liu, Yongxiu Guo, Jianping Hu, Gaoming Xu, Guoxin Ma, Wei Liu

“…Based on the ventilation design of case 6, a micro-plant factory was developed featuring a bidirectional flow fan, air conditioning, and PWM fans for the coordinated control of air circulation within the seedling cultivation space, along with adjustable cultivation layer heights and shelf spacing. …”
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Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran by Ali Imamalipour, Hamed Ebrahimi, Amir reza Abdollahpur

“…This neural network automatically and through unsupervised learning identifies patterns, complex structures, and high-level features of the input data. …”
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Difficult-to-treat psoriatic arthritis: refining the definition using a statistical model in a real-life cohort by Ennio Giulio Favalli, Ennio Giulio Favalli, Giacomo Biganzoli, Gilberto Cincinelli, Gilberto Cincinelli, Matteo Ferrito, Matteo Ferrito, Ester Luconi, Maria Manara, Martina Biggioggero, Patrizia Boracchi, Patrizia Boracchi, Roberto Caporali, Roberto Caporali

“…In addition, we aimed to establish a numerical index defining D2T-PsA based on the ratio of observed to expected failed b/tsDMARDs and to develop a predictive model identifying features associated with the D2T condition.MethodsThe study included 267 consecutive adult PsA patients receiving b/tsDMARDs, collecting demographic, clinical, and clinimetric data. …”
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Identifying small thymomas from other asymptomatic anterior mediastinal nodules based on CT images using logistic regression by Wenfeng Feng, Runlong Lin, Wenzhe Zhao, Haifeng Cai, Jingwu Li, Yongliang Liu, Lixiu Cao, Lixiu Cao

“…Clinical and CT features were analyzed, and a predictive model was developed based on independent risk features for small thymomas using multivariate LR in the training set. …”
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Flexible Learning by Design: Enhancing Faculty Digital Competence and Engagement Through the FLeD Project by Ana Afonso, Lina Morgado, Ingrid Noguera, Paloma Sepúlveda-Parrini, Davinia Hernandez-Leo, Shata N. Alkhasawneh, Maria João Spilker, Isabel Cristina Carvalho

“…Teacher participants co-designed and implemented flexible learning scenarios using the FLeD tool, which integrates pedagogical patterns, scaffolding strategies, and playful features. …”
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Pressurized Contrast‐Related Posterior Reversible Encephalopathy Syndrome After Cerebral Digital Subtraction Angiography by Lea Scherschinski, Tyler D. Schriber, Stefan W. Koester, Adam T. Eberle, Joshua S. Catapano, Ethan A. Winkler, Felipe C. Albuquerque, Michael T. Lawton, Andrew F. Ducruet, Ruchira M. Jha, Ashutosh P. Jadhav

“…Awareness of risk factors, pathophysiology, and clinical and radiographic patterns is crucial for accurate diagnosis.…”
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Nickel Ion Induced Multistage Assembly of Th13 Cluster by Kong-Qiu Hu, Jun-Xi Wang, Qun-Yan Wu, Zhi-Wei Huang, Zhi-Heng Zhou, Jin-Dong Wang, Xiao-Bo Li, Ji-Pan Yu, Zhi-Hui Zhang, Lei Mei, Yong-De Yan, Wei-Qun Shi

“…This study demonstrates that the incorporation of heterometal ions not only alters the hydrolysis patterns of actinide metal ions, resulting in the formation of new actinide clusters, but also broadens their potential applications.…”
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Multi-omic and machine learning analysis of mitochondrial RNA modification genes in lung adenocarcinoma for prognostic and therapeutic implications by Xiao Zhang, Jiatao Liu, Yaolin Cao, Wei Wang, Haoran Lin, Yue Yu

“…Integrating multi-omic datasets, we systematically explored the molecular features of MRM-related genes across various cancers and identified distinct expression patterns and prognostic associations. …”
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