Single-cell and multi-omics analysis reveals the role of stem cells in prognosis and immunotherapy of lung adenocarcinoma patients by Jianan Zheng, Haoran Lin, Wei Ye, Mingjun Du, Chenjun Huang, Jun Fan

“…Multiple machine learning algorithms were systematically compared in order to develop an optimal prognostic model. …”
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Assessing Computational Thinking in Engineering and Computer Science Students: A Multi-Method Approach by Farman Ali Pirzado, Awais Ahmed, Sadam Hussain, Gerardo Ibarra-Vázquez, Hugo Terashima-Marin

“…The results show that students excel in pattern recognition and abstraction but face decomposition and algorithmic thinking challenges. Cross-sectional analyses were conducted between CTT, CTS and the open-ended part to compare CT skills across different demographic groups (e.g., age, gender, academic disciplines), showing clear differences based on age, gender, and academic disciplines, with Computer Science students performing better than engineering students. …”
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Monitoring soil salinization in Arid cotton fields using Unmanned Aerial Vehicle hyperspectral imagery by Jinming Zhang, Jianli Ding, Jiao Tan, Jinjie Wang, Zihan Zhang, Zeyuan Wang, Xiangyu Ge

“…The results indicate: (1) SG smoothing and FOD technology effectively enhanced the spectral characteristics of cotton field soils and crop canopies. (2) The soil salinity prediction model constructed using 0.7-order FOD combined with the BOSS algorithm yields the best performance, with an R2 of 0.92, RMSE of 0.15 dS m−1, and RPD of 3.54 on the test set. (3) The soil salinity distribution map generated from the optimal model clearly revealed the spatial distribution characteristics of salinity in the 0–10 cm topsoil layer, with significant differences observed under different cover conditions. …”
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Comparative reinfection rate of one-stage versus two-stage revision in the management of periprosthetic joint infection following total hip arthroplasty: a meta-analysis by Yueying Qin, Zeshou Liu, Liwen Li, Yuxing Yang, Xiaomeng Huang, Weiming Liang, Longbao Lin

“…A subgroup analysis was conducted based on the presence of a well-defined algorithm for decision making in either a one-stage or two-stage revision. …”
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Statistics and behavior of clinically significant extra-pulmonary vein atrial fibrillation sources: machine-learning-enhanced electrographic flow mapping in persistent atrial fibri... by Peter Ruppersberg, Steven Castellano, Philip Haeusser, Kostiantyn Ahapov, Melissa H. Kong, Stefan G. Spitzer, Stefan G. Spitzer, Georg Nölker, Andreas Rillig, Tamas Szili-Torok

“…IntroductionElectrographic flow (EGF) mapping is an FDA 510(k)-cleared method for visualizing atrial activation wavefronts in atrial fibrillation (AF). …”
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Continuum topological derivative - A novel application tool for segmentation of CT and MRI images by Viswanath Muthukrishnan, Sandeep Jaipurkar, Nedumaran Damodaran

“…In this study, we have implemented the CTD denoising algorithm to produce denoised CT/MR images, serving as ground truth for subsequent segmentation steps. …”
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A Review on Glaucoma Disease Detection Using Computerized Techniques by Faizan Daud, Rakhshanda Imtiaz, Hussain Ahmad Madni, Haroon Ahmed Khan, Tariq M. Khan, Mohammad A. U. Khan, Syed Saud Naqvi

“…Unfortunately, due to the absence of clear symptoms during the early stages, early diagnosis are rare. …”
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Clinical use of measurable residual disease in adult ALL: recommendations from a panel of US experts by Nicholas J. Short, Ibrahim Aldoss, Daniel J. DeAngelo, Marina Konopleva, Jessica Leonard, Aaron C. Logan, Jae Park, Bijal Shah, Wendy Stock, Elias Jabbour

“…Abstract: Measurable residual disease (MRD) is a powerful predictor of clinical outcomes in acute lymphoblastic leukemia (ALL). In addition to its clear prognostic importance, MRD information is increasingly used in clinical decision algorithms to guide therapeutic interventions. …”
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Stochastic Wheel-Slip Compensation Based Robot Localization and Mapping by SIDHARTHAN, R. K., KANNAN, R., SRINIVASAN, S., BALAS, V. E.

“…Wheel slip compensation is vital for building accurate and reliable dead reckoning based robot localization and mapping algorithms. This investigation presents stochastic slip compensation scheme for robot localization and mapping. …”
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Understanding dimensions of trust in AI through quantitative cognition: Implications for human-AI collaboration. by Weizheng Jiang, Dongqin Li, Chun Liu

“…Human-AI collaborative innovation relies on effective and clearly defined role allocation, yet empirical research in this area remains limited. …”
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Construction of Facial Expression Recognition Technology of Intelligent Service Robot Based on Nanofiber Flexible Wearable Electronic Skins by Feigao Li, Chenyang Li, Yue Liu

“…Therefore, this article applies a popular recognition algorithm based on deep learning, combined with a nanofiber flexible wearable electronic skin, and applies it to the field of facial expression recognition. …”
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Dynamique du couvert végétal à la périphérie du Parc W du Burkina Faso by R. Noël Gansaonré, Benewindé J.-B. Zoungrana, P. Isidore Yanogo

“…Reference data collected using GPS and local knowledge allowed a supervised classification of the Landsat images with the maximum likelihood algorithm. The Mann-Kendall test was applied to the NDVI time series to assess the vegetation trend.The results showed that in the area outside the park, the vegetation cover has clearly regressed. …”
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Multi-stage hashing network storage structure for intelligent routing by Feng ZHU, Qun HUANG

“…Network data collection and storage are fundamental for intelligent routing control,providing massive flow data for model training and decision-making.However,as the key device in network storage system,switches have very limited memory size and design flexibility,which can’t satisfy the needs of intelligent routing control for comprehensive high-precision data and lightweight storage system,thus reducing the effectiveness of intelligent routing control.A multi-stage hashing network storage structure (MHNSS) was proposed for intelligent routing control,which fully utilized the limited memory resource of switch and completed network data storage with low collision rate.The number of candidate buckets of the flow key was augmented by multi-stage hash table,thus reducing collision rate and improving memory load ratio.Hash collision was resolved via coarse-grained timestamp LRU algorithm,which always stored most recently used data and cleared least recently used data to avoid subsequent collisions as far as possible.Trace-driven experiments showed that compared with widely used single hash table,MHNSS had significant performance advantage in collision rate and load ratio.…”
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Explicit Model for Chiller Fault Diagnosis Based on Multi-objective Regression with Different Weights by Wu Kongrui, Han Hua, Yang Yuting, Lu Hailong, Ling Minbin

“…Based on the cross-entropy loss function and stochastic gradient descent algorithm, a weight regression fault diagnosis model was established for seven common faults in a chiller. …”
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A statistical study on factors influencing piezoelectric properties of upside-down composites towards machine learning-driven development for recycling by Sivagnana Sundaram Anandakrishnan, Suhas Yadav, Mohadeseh Tabeshfar, Mikko Nelo, Jani Peräntie, Yang Bai

“…By analyzing the variation of these constants between the datapoints, a clear perspective of the contributors to the properties of the recycled materials is established. …”
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Explainable Artificial Intelligence Models for Predicting Depression Based on Polysomnographic Phenotypes by Doljinsuren Enkhbayar, Jaehoon Ko, Somin Oh, Rumana Ferdushi, Jaesoo Kim, Jaehong Key, Erdenebayar Urtnasan

“…Advanced machine learning algorithms such as random forest, extreme gradient boosting, categorical boosting, and light gradient boosting machines were employed to train and validate the predictive AI models. …”
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A review of deep learning in blink detection by Jianbin Xiong, Weikun Dai, Qi Wang, Xiangjun Dong, Baoyu Ye, Jianxiang Yang

“…By overcoming the challenges identified in this study, the application prospects of deep learning-based blink detection algorithms will be significantly enhanced.…”
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Chlormethine Gel for Treatment of Patients with Mycosis Fungoides: Best Practices and Guidance to Clinicians by Larisa Geskin, Christiane Querfeld, Emmilia Hodak, Neda Nikbakht, Evangelia Papadavid, Marco Ardigò, Ulrike Wehkamp, Martine Bagot

“…While multiple guidelines provide treatment recommendations, there are currently no clear treatment algorithms for MF. Chlormethine gel is recommended by major treatment guidelines as a first-line option for stage IA–IIA disease, and, on the basis of these guidelines, used in combination with other therapies in patients with advanced-stage MF in clinical practice. …”
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Explainable AI-driven intelligent system for precision forecasting in cardiovascular disease by Anas Bilal, Abdulkareem Alzahrani, Khalid Almohammadi, Muhammad Saleem, Muhammad Sajid Farooq, Raheem Sarwar

“…This proposed system incorporates advanced machine learning algorithms integrated with XAI to examine a dataset comprising 308,737 patient records with features including age, BMI, blood pressure, cholesterol levels, and lifestyle factors. …”
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Cardiovascular Diseases and Non-Alcoholic Fatty Liver Disease: Relationship and Pathogenetic Aspects of Pharmacotherapy by A. V. Nelidova, M. A. Livzan, N. A. Nikolaev, T. S. Krolevets

“…Despite the large number of works on this topic, we do not have a clear opinion on the impact on cardiovascular risk, interaction and the contribution of various factors, as well as algorithms for managing patients with non-alcoholic fatty liver disease to reduce the risk of cardiovascular diseases. …”
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