A robust multi-scale clustering framework for single-cell RNA-seq data analysis by Songrun Jiang, Chunyan Wang, Qiucheng Sun, Zhi Zhang

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High-throughput functional analysis provides novel insight into type VII secretion in Staphylococcus aureus by Yaping Yang, Aaron A. Scott, Holger Kneuper, Felicity Alcock, Tracy Palmer

“…Co-purification experiments confirm that all three proteins form a complex with TspA.…”
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Flow Raman Spectroscopy for the Detection and Identification of Small Microplastics by Alexander Kissel, André Nogowski, Alwin Kienle, Florian Foschum

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Structural Activity Relationship Analysis of New Diphenyl PFI-3 Analogues Targeting for the Treatment of Glioblastoma by Dong-Jin Hwang, Chuanhe Yang, Yinan Wang, Hannah Kelso, Satyanarayana Pochampally, Lawrence M. Pfeffer, Duane D. Miller

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New silicon phthalocyanine-containing polysiloxanes as stationary phases for high-temperature gas chromatography analysis by Mihaela-Liliana Ţînţaş, Valérie Peulon-Agasse, Marco Piparo, Pierre Giusti, Jean-Maurice Mallet, Pascal Cardinael

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From molecules to data: the emerging impact of chemoinformatics in chemistry by Anup Basnet Chetry, Keisuke Ohto

“…Recent advancements in artificial intelligence (AI) and machine learning (ML) have significantly improved the ability to analyze complex datasets, predict molecular properties, and design new compounds. …”
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Parameter sensitivity analysis for diesel spray penetration prediction based on GA-BP neural network by Yifei Zhang, Gengxin Zhang, Dawei Wu, Qian Wang, Ebrahim Nadimi, Penghua Shi, Hongming Xu

“…The GA-BP neural network was selected for its ability to optimize neural network weights and thresholds, thereby improving model convergence and avoiding local minima, which are common challenges in complex, non-linear problems such as spray prediction. …”
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Functional Diagnostic System for Multichannel Mine Lifting Machine Working in Factor Cluster Analysis Mode by Zimovets V. I., Shamatrin S. V., Olada D. E., Kalashnykova N. I.

“…The primary direction of the increase of reliability of the automated control systems of complex electromechanical machines is the application of intelligent information technologies of the analysis of diagnostic information directly in the operating mode. …”
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Effect of phenol–carbamate bonds on the repair performance of polyurethane-modified asphalt and repair mechanism analysis by Yujie Wang, Xili Yan, Kenan Li, Tao Ai, Kun Yang, Ying Liu

“…MA-PUA10 % achieving an excellent complex shear modulus recovery of 88.55 %. Microscopic analysis revealed that cracks in the PUA underwent rapid and dynamic exchange of phenol–carbamate bonds at elevated temperatures (50–80 ℃), leading to effective self-healing upon cooling. …”
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Texas rural land market integration: A causal analysis using machine learning applications by Tian Su, Senarath Dharmasena, David Leatham, Charles Gilliland

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Prediction of Reservoir Flow Capacity in Sandstone Formations: A Comparative Analysis of Machine Learning Models by Micheal Ayodeji Ogundero, Taiwo Adelakin, Kehinde Orolu, Isaac Femi Johnson, Theophilus Akinfenwa Fashanu, Kingsley Abhulimen

“…The algorithms were selected for their ability to model complex relationships in reservoir characterization, with Random Forest excelling in high-dimensional data handling, ANN in pattern learning, and SVR in regression-based predictions.  …”
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BiLSTM-Based Parallel CNN Models With Attention and Ensemble Mechanism for Twitter Sentiment Analysis by Anas W. Abulfaraj

“…Sentiment analysis has been found to have positive results when using deep learning. …”
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SLEEP-SAFE: Self-Supervised Learning for Estimating Electroencephalogram Patterns With Structural Analysis of Fatigue Evidence by Wonjun Ko, Jeongwon Choe, Jonggu Kang

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Influence of cognitive, neuropsychiatric, and diagnostic factors on financial capacity: A longitudinal analysis of the ADNI cohort by Milap A. Nowrangi, Jeannie Marie Leoutsakos, Haijuan Yan, Arnold Bakker, Kevin J. Manning, George W. Rebok, Paul B. Rosenberg, Vidyulata Kamath

“…Abstract Introduction Financial capacity (FC) is the ability to independently manage finances in a manner consistent with one's self‐interest. …”
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Advancements in predicting soil liquefaction susceptibility: a comprehensive analysis of ensemble and deep learning approaches by Divesh Ranjan Kumar, Warit Wipulanusat

“…XGBoost also performs well, achieving 0.9194 in training and 0.8750 in testing, reflecting its robustness in handling complex patterns. In contrast, RF displays a significant discrepancy between the training (0.9373) and testing (0.8681) accuracies. …”
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Modeling and Mathematical Analysis of Liquidity Risk Contagion in the Banking System Using an Optimal Control Approach by Said Fahim, Hamza Mourad, Mohamed Lahby

“…The results demonstrate the model’s ability to capture the intricate interactions among major European banks, reflecting the complex realities of the financial system. …”
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Barriers to and Facilitators of Implementing Team-Based Extracorporeal Membrane Oxygenation Simulation Study: Exploratory Analysis by Joan Brown, Sophia De-Oliveira, Christopher Mitchell, Rachel Carmen Cesar, Li Ding, Melissa Fix, Daniel Stemen, Krisda Yacharn, Se Fum Wong, Anahat Dhillon

“…Using 27 records for exploratory factor analysis, the standardized Cronbach α was 0.717. The survey results descriptively demonstrated a positive shift in teamwork ability. …”
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Analysis and Prediction of Deformation of Shield Tunnel Under the Influence of Random Damages Based on Deep Learning by Xiaokai Niu, Yuqiang Pan, Wei Li, Zhitian Xie, Wei Song, Chengping Zhang

“…Shield tunnels in operation are often affected by complex geological conditions, environmental factors, and structural aging, leading to cumulative damage in the segments and, consequently, increased deformation that compromises structural safety. …”
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Symptom burden profiles and influencing factors in convalescent stroke patients: a latent profile analysis by Xiaojiao Huang, Ying Peng, Kebing Zhou, Yelin Ji, Qingqing Wang, Yanfang Deng, Zhilian Huang, Fengxia Yan

“…The unordered logistic regression analysis indicated that age, daily caregiver status, self-care ability, fear of disease progression, and illness acceptance were influential factors across different potential categories. …”
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Conceptualizing Clinicians’ Trust in Artificial Intelligence as a Function of Their Expertise, Workload, Patient Outcome, Diagnosis Difficulty, and AI Accuracy: A Systems Th... by Hamid Shamszare, Zaira Chaudhry, Manijeh Berenji, Avishek Choudhury

“…This study applies a systems thinking approach to examine the complex dynamics influencing clinicians’ trust in artificial intelligence (AI). …”
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