<i>In Silico</i> Analysis of Phosphomannomutase-2 Dimer Interface Stability and Heterodimerization with Phosphomannomutase-1 by Bruno Hay Mele, Jessica Bovenzi, Giuseppina Andreotti, Maria Vittoria Cubellis, Maria Monticelli

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Preliminary performance analysis using the PPP-RTK service of the National Land and Mapping Center in Taiwan by J.-Y. Lin, C.-H. Chu, F.-Y. Chu, K.-W. Chiang, M.-L. Tsai

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A Method for Predicting the Main Indicators of Cardiopulmonary Stress Testing for Patients with Chronic Heart Failure by A. S. Krasichkov, E. Mbazumutima, F. Shikama, E. M. Nifontov

“…The patients underwent a cardiopulmonary stress test by a bicycle ergometer using step-by-step load protocol (the load power increase at each stage was 10 W, the duration of the load stage was 1 min)Results. Based on the analysis of the data obtained, a method for assessing the peak values of HR and of PC of the patients with chronic heart failure was developed.Conclusion. …”
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A comparative study of ultra-massive MIMO intelligent receivers with adversarial robustness and energy efficiency for 6G applications by Pushkar Nidagundi, Advesh Darvekar, Malik Amber, Ramesh R

“…Ultra-Massive Multiple Input Multiple Output (UM-MIMO) systems are pivotal for 6G wireless networks, enabling unprecedented data rates and spectral efficiency. However, optimizing these systems requires a careful balance between energy efficiency, spectral efficiency, and Bit Error Rate (BER) performance. …”
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Stability Analysis of Bread Wheat (Triticum aestivum L.) Genotypes by the Genotype × Genotype-Environment Biplot by Mohsen Esmaeilzadeh Moghadam, Manoochehr Dastfal, Seyed Mahmoud Tabib Ghaffary, Seyyed Bahram Anderzian4 Anderzian, Manoochehr Sayyahfar, Khaled Miri, Shirali Koohkan, Alireza Askari Kalestani

“…SPSSv22 software was used to analyze the experimental data using the analysis of the combined experiment. …”
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Evaluation of Grain Yield Stability of Lentil Genotypes using Non-Parametric Statistics and AMMI Analysis by Amin Namdari, Payam Pezeshkpoor, Mohammad Barzali, Asghar Mehraban, Amir Mirzaie, Mostafa Haghpanah

“…Grain yield was measured after harvest. To analyze the data, after ensuring the homogeneity of error variances across environments using Bartlett's test, a combined analysis of variance was performed for the eight studied environments. …”
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Strengthening open disclosure in maternity services in the English NHS: the DISCERN realist evaluation study by Mary Adams, Natalie Sanford, Charlotte Bevan, Maria Booker, Julie Hartley, Alexander Heazell, Elsa Montgomery, Maureen Treadwell, Jane Sandall

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Research on the prediction algorithm of tread wear for locomotive wheels based on GA-ridge regression analysis by FANG Xin, LIU Tong, CHENG Yaping, SUN Yuduo, WANG Feier

“…This algorithm consisted of two steps: data pre-processing and data-based prediction analysis. …”
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Application of Machine Learning Methods for Gravity Anomaly Prediction by Katima Zhanakulova, Bakhberde Adebiyet, Elmira Orynbassarova, Ainur Yerzhankyzy, Khaini-Kamal Kassymkanova, Roza Abdykalykova, Maksat Zakariya

“…Models were trained and validated using cross-validation techniques, with performance assessed by statistical metrics (RMSE, MAE, R²) and spatial error analysis. Results indicated that the Exponential GPR model demonstrated the highest predictive accuracy, outperforming other ML methods, with 72.9% of predictions having errors below 1 mGal. …”
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A Machine Vision Perspective on Droplet‐Based Microfluidics by Ji‐Xiang Wang, Hongmei Wang, Huang Lai, Frank X. Liu, Binbin Cui, Wei Yu, Yufeng Mao, Mo Yang, Shuhuai Yao

“…This method enables rapid and precise detection (detection relative error < 4% and precision > 94%) across various scales and scenarios, including real‐world and simulated environments. …”
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Digital twin system for manufacturing processes based on a multi-layer knowledge graph model by Chang Su, Xin Tang, Qi Jiang, Yong Han, Tao Wang, Dongsheng Jiang

“…This architecture consists of a concept layer that structures key information into a knowledge network, a model layer that aligns digital and physical parameters, and a decision layer that leverages model and real-time data for decision support. Validated in aero-engine blade production, this system integrates multi-source data, enhances predictive analysis and anomaly detection, and supports process control and quality management. …”
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New technique revives direct deconvolution methods for Wellbore storage removal in pressure transient analysis by Mina S. Khalaf, Ahmed H. El-Banbi, M.H. Sayyouh

“…Eliminating wellbore storage (WBS) effects inherent in pressure transient data is one of the challenges in well test analysis. …”
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Analysis of Communication Compression and Transmission in a Multimedia and Internet of Things Environment Integrating Scene Elements by Jia Jia, Guohua Wu

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Completeness of reporting of simulation studies on responder analysis methods and simulation performance: a methodological survey by Gordon H Guyatt, Kehu Yang, Derek K Chu, Romina Brignardello-Petersen, Xiajing Chu, Junjie Ren, Thabane Lehana

“…Objectives To evaluate the completeness of reporting of simulation studies on responder analysis methods and simulation performance.Design Systematic methodological survey.Data sources We searched Embase, MEDLINE (via Ovid), PubMed and Web of Science Core Collection from inception to 9 October 2023.Eligibility criteria We included simulation studies comparing responder analysis methods and assessing simulation performance (bias, accuracy, precision or variance, power, type I and II errors and coverage).Data extraction and synthesis Two independent reviewers extracted data and assessed simulation performance. …”
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Optimized Predictive Coverage by Averaging Time‐Windowed Bayesian Distributions by Han‐Fang Hsueh, Anneli Guthke, Thomas Wöhling, Wolfgang Nowak

“…To overcome the problem of overconfident posteriors, we propose a non‐parametric Bayesian method, called Tau‐averaging method: it applies Bayesian analysis on sliding time windows along the data time series for calibration. …”
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nf-core/airrflow: An adaptive immune receptor repertoire analysis workflow employing the Immcantation framework. by Gisela Gabernet, Susanna Marquez, Robert Bjornson, Alexander Peltzer, Hailong Meng, Edel Aron, Noah Y Lee, Cole G Jensen, David Ladd, Mark Polster, Friederike Hanssen, Simon Heumos, nf-core community, Gur Yaari, Markus C Kowarik, Sven Nahnsen, Steven H Kleinstein

“…We assessed the performance of nf-core/airrflow on simulated sequencing data with sequencing errors and show example results with real datasets. …”
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Flexible Parsimonious Mixture of Skew Factor Analysis‎ ‎Based‎ ‎on‎ ‎Normal‎ ‎Mean--Variance Birnbaum-Saunders by Farzane Hashemi, Jalal Askari, Saeed Darijani

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Deep Learning for Ore Haulage Monitoring: Vibrational Analysis Using a VGG16 Network by Artur Skoczylas, Pawel Stefaniak, Sergii Anufriiev, Wioletta Koperska

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GeaGrow: a mobile tool for soil nutrient prediction and fertilizer optimization using artificial neural networks by Olusegun Folorunso, Oluwafolake Ojo, Mutiu Busari, Muftau Adebayo, Joshua Adejumobi, Daniel Folorunso, Femi Ayo, Orobosade Alabi, Olusola Olabanjo

“…A secondary dataset was compiled using iSDAsoil’s API for data augmentation and validation. The two sets of data were pre-processed and normalized using Python, and an ANN was employed to predict soil properties such as NPK, Organic Carbon, Soil Textural Composition and pH levels through regressive analysis while building a composite model for Soil Texture Classification based on the predicted soil composition. …”
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Su(3) symmetry analysis in charmed baryon two body decays with penguin diagram contribution by Zhi-Peng Xing, Yu-Ji Shi, Jin Sun, Ye Xing

“…Additionally, by using the KPW theorem to reduce the number of amplitudes from 13 to 7 in the leading contribution, it becomes possible to consider the complex form factor case for the leading IRA amplitude in the global analysis. However, the analysis of complex form factors significantly conflicts with the experimental data $$Br(\Xi _c^0\rightarrow \Xi ^-\pi ^+)$$ B r ( Ξ c 0 → Ξ - π + ) , and by excluding this data, $$\chi ^2/d.o.f$$ χ 2 / d . o . f is reduced from 5.95 to 1.19. …”
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