On the Conflation of Poisson and Logarithmic Distributions with Applications by Abdulhamid A. Alzaid, Anfal A. Alqefari, Najla Qarmalah

“…It is frequent for real-life count data to show inflation in lower values; however, most of the well-known count distributions cannot capture such a feature. The present paper introduces a new distribution for modeling inflated count data in small values based on a conflation of distributions approach. …”
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Self-collision Detection and Motion Planning of Hydraulic Quadruped Robot by SHAO Junpeng, CHI Hanwei, SUN Guitao

“…Aiming at the selfcollision problem in the motion of fourlegged robots， the distance function method is adopted， the feature points are selected for the legs， and the distance between the feature points is detected to plan the trajectory of the foot In the research process， the threedimensional model of the quadruped robot was established， and four selfcollision position detection models were given The analysis of the leg motion space was performed Two feature points were selected on each leg， and the feature points were used to solve the feature points Control the distance between the legs to control the legs Through simulation analysis and experiment， the distance function method can be used to control the minimum distance between the two ends at 3472mm， effectively avoiding the collision problem between the legs during the running of the robot…”
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Long-term exposure to fine particulate matter components with obesity in children and adolescents in China: The age-sex disparities and key effect modifiers by Jinling Wang, Xinyi Li, Guannan Bai, Rachel Huxley, Kejia Hu, Jinna Yuan, Xuelian Zhou, Xiaochi Zhang, Ke Huang, Guanping Dong, Wei Wu, Bingyan Cao, Rongxiu Zheng, Chunlin Wang, Haiyan Wei, Yan Liang, Hui Yao, Feihong Luo, Pin Li, Zhe Su, Ruimin Chen, Shaoke Chen, Jingsi Luo, Hongwei Du, Mireguli. Maimaiti, Jianwei Zhang, Yu Yang, Min Zhu, Qi Zhao, Junfen Fu

“…Stratified analyses were performed by age and sex groups, with the interactive effects of a series of individual/family features evaluated. …”
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Single-cell transcriptomics reveals biomarker heterogeneity linked to CDK4/6 Inhibitor resistance in breast cancer cell lines by Ilenia Migliaccio, Martina Bonechi, Dario Romagnoli, Giulia Boccalini, Francesca Galardi, Cristina Guarducci, Agostina Nardone, Rachel Schiff, Laura Biganzoli, Luca Malorni, Matteo Benelli

“…Transcriptional features of resistance could be already observed in naïve cells correlating with levels of sensitivity (IC50) to palbociclib. …”
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Document Relevance Filtering by Natural Language Processing and Machine Learning: A Multidisciplinary Case Study of Patents by Raj Bridgelall

“…The contributions include benchmarking the performance of 10 classical models. These models include extreme gradient boosting, random forest, and support vector machines; a deep artificial neural network; and three natural language processing methods: latent Dirichlet allocation, non-negative matrix factorization, and k-means clustering of a manifold-learned reduced feature dimension. …”
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Accelerating Training of Convolutional Neural Networks With Hessian-Free Optimization for Detecting Alzheimer’s Disease in Brain MRI by Marios Pafitis, Maria Constantinou, Chris Christodoulou

“…Convolutional neural network (CNN) classifiers, which perform feature extraction from brain magnetic resonance imaging (MRI) data and classify them as healthy or diseased, are very promising in aiding the diagnosis of neurological disorders. …”
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Explainable machine learning framework for biomarker discovery by combining biological age and frailty prediction by Xiheng Wang, Jie Ji

“…Four tree-based ML algorithms were employed in the training and validation, and performance metrics were compared to select the best models. …”
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Two-Level Multi-Objective Design Optimization Including Torque Ripple Minimization for Stator Excited Synchronous and Flux Switching Machines by Ali Mohammadi, Oluwaseun A. Badewa, Yaser Chulaee, Dan M. Ionel

“…The study employs experimentally validated models based on a prototype with a similar topology. …”
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Impedance-Driven Decoupling Water–Nitrogen Stress in Wheat: A Parallel Machine Learning Framework Leveraging Leaf Electrophysiology by Shuang Zhang, Xintong Du, Bo Zhang, Yanyou Wu, Xinyi Yang, Xinkang Hu, Chundu Wu

“…This study developed a machine learning framework utilizing multimodal leaf electrophysiological signals––intrinsic resistance, impedance, capacitive reactance, inductive reactance, and capacitance––to decouple water and nitrogen stress signatures in wheat. A parallel modelling strategy was implemented employing Gradient Boosting, Random Forest, and Ridge Regression, selecting the optimal algorithm per feature based on predictive performance. …”
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Artificial Intelligence-based Rice Variety Classification: A State-of-the-art Review and Future Directions by Md. Masudul Islam, Galib Muhammad Shahriar Himel, Md. Golam Moazzam, Mohammad Shorif Uddin

“…The study examines key steps in the automation process, including image acquisition, pre-processing, feature extraction, and classification algorithms, with particular emphasis on machine learning and deep learning methods such as Convolutional Neural Networks (CNNs), which have demonstrated exceptional performance in recent research. …”
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Variation within and between digital pathology and light microscopy for the diagnosis of histopathology slides: blinded crossover comparison study by David RJ Snead, Ayesha S Azam, Jenny Thirlwall, Peter Kimani, Louise Hiller, Adam Bickers, Clinton Boyd, David Boyle, David Clark, Ian Ellis, Kishore Gopalakrishnan, Mohammad Ilyas, Paul Kelly, Maurice Loughrey, Desley Neil, Emad Rakha, Ian SD Roberts, Shatrughan Sah, Maria Soares, YeeWah Tsang, Manuel Salto-Tellez, Helen Higgins, Donna Howe, Abigail Takyi, Yan Chen, Agnieszka Ignatowicz, Jason Madan, Henry Nwankwo, George Partridge, Janet Dunn

“…Random-effects logistic regression models, including crossed random-effects terms for case and pathologist, estimated percentage clinical management concordance. …”
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Exploring voluntary sector specialist services for victim-survivors of sexual violence in England: the PROSPER co-production study by Caroline Bradbury-Jones, Sarah Damery, Kirsten Fruin, Clare Gunby, Jenny Harlock, Lucy Hebberts, Louise Isham, Anne-Marie Jones, Fay Maxted, Amelia Mighty, Priti Parmar, Laura Patterson, Jason Schaub, Fee Scott, Harriet Smailes, Debs Smith, Julie Taylor

“…Explore the usefulness of different approaches to service delivery and different therapy models. Explore how different principles underlying service provision influence service delivery. …”
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Clinical characteristics and risk factors for readmission after deep anterior lamellar keratoplasty: a nationwide, cross-sectional, multicenter study by Chenxi Wang, He Xie, Binjia Sun, Kexin Tang, Haiou Wang, Zelin Zhao, Qinxiang Zheng, Jie Wu, Qi Zhang, Baihua Chen, He Dong, Jizhong Yang, Hai Liu, Feng Wen, Tao Sun, Jinsong Xue, Shaozhen Zhao, Limin Chen, Zhirong Liu, Yanning Yang, Xunlun Sheng, Pengcheng Wu, Yuping Han, Wei Qiang, Qi Xie, Yingnan Xu, Hui Liu, Man Yu, Linying Huang, Huiping Li, Ruifen Wei, Minye Wang, Gang Chen, Yan Cheng, Wei Chen

“…Methods A multicentre cross-sectional study of 3603 eyes of 3588 patients after keratoplasty between January 1st, 2019, and September 30th, 2021 in 16 hospitals across China was performed. The demographic and clinical features between patients after DALK with 90-day unplanned readmission and those who did not have been compared. …”
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Activation of LXRβ inhibits tumor respiration and is synthetically lethal with Bcl‐xL inhibition by Trang Thi Thu Nguyen, Chiaki Tsuge Ishida, Enyuan Shang, Chang Shu, Consuelo Torrini, Yiru Zhang, Elena Bianchetti, Maria J Sanchez‐Quintero, Giulio Kleiner, Catarina M Quinzii, Mike‐Andrew Westhoff, Georg Karpel‐Massler, Peter Canoll, Markus D Siegelin

“…However, their efficacy is limited and additional insights regarding the underlying mechanism are necessary. By performing transcriptome analysis coupled with global polar metabolite screening, we show that LXR agonists, LXR623 and GW3965, enhance synergistically the anti‐proliferative effect of BH3 mimetics in solid tumor malignancies, which is predominantly mediated by cell death with features of apoptosis and is rescued by exogenous cholesterol. …”
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Sustainable evaluation of ecotourism in the Yangtze River delta urban agglomeration: A system coordination perspective by Jiqiang Zhao, Jian Pan, Ling Tan

“…By employing network the slack-based measure (SBM) and coordination coupling degree (CCD) models, using the support vector machine recursive feature elimination (SVM-RFE) method, the study identifies the efficiency of the ETS, the coordination between ES and TS, as well as key factors affecting the sustainability of ecotourism. …”
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Homework, Households, and Hurdles: The Unexpected Drivers of Student Graduation Perceptions by Daniel Alhassan, Zahra Fatah, Priscilla Mansah Codjoe, Caroline Bena Kuno, Dorcas Ofori-Boateng

“…This study, which is based on the 2021 <i>Monitoring the Future</i> survey of 8th- and 10th-grade students in the United States, uses machine learning algorithms to identify the most important factors that influence these perceptions. Among the tested models, random forest provided the best classification performance. …”
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Advancements in Hematologic Malignancy Detection: A Comprehensive Survey of Methodologies and Emerging Trends by Rajashree Nambiar, Ranjith Bhat, Balachandra Achar H V

“…Our synthesis reveals that DL models consistently outperform ML baselines, achieving classification accuracies above 95% in benchmark datasets, with hybrid models pushing peak accuracy to 99.7%. …”
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Efficient Power Transfer to Implanted Antennas by Varvara Mouzi, Nektarios Moraitis, Constantine Kakoyiannis, Konstantina S. Nikita, Constantinos Valagiannopoulos

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Prediction and optimization of WEDM parameters for machining of NiTi-shape memory alloy using ANFIS-PSO approach by Lokesh Kumar, Ashish Goyal, Vimal Kumar Pathak

“…After testing, ANFIS suggested a common optimal setting for each feature: peak current (11.5 A), pulse-on-time (125 µs), pulse-off-time (58 µs), servo voltage (55 V), and wire feed (2 mm/min), resulting in feature values ​​of 0.113 K-Hz, 0.113 µm, and 0.0526 µm. …”
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Multi-fault diagnosis and damage assessment of rolling bearings based on IDBO-VMD and CNN-BiLSTM by Lihai Chen, Xiaolong Bai, Yonghui He, Dong Jia, Yican Li, Zhenshui Li

“…Feature extraction and fault classification of signals using CNN-BiLSTM is used to compensate for the poor diagnosis of CNN timing signals by BiLSTM instead of Softmax classifier. …”
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