Prediction of COD Degradation in Fenton Oxidation Treatment of Kitchen Anaerobic Wastewater Based on IPSO-BP Neural Network by Tianpeng Zhang, Pengfei Ji, Dayong Tian, Rui Xu

“…Kitchen anaerobic wastewater contains a high concentration of insoluble organic matter, and the degradation of organic matter in the wastewater is the key to treating kitchen anaerobic wastewater. The Fenton oxidation process is used to treat kitchen anaerobic wastewater, and the effects of H2O2 dosage, Fe2+ dosage, reaction time and pH value on chemical oxygen demand (COD) degradation efficiency are explored. …”
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Health-related quality of life implications of plantar ulcers resulting from neuropathic damage caused by leprosy: An analysis from the trial of autologous blood products (TABLE tr... by Naomi Kate Gibbs, Jessica Ochalek, Indra Bahadur Napit, Dilip Shrestha, Pedro Saramago Goncalves, Richard J Lilford, Mark Sculpher

“…<h4>Introduction</h4>Leprosy is a curable disease, treated by multidrug therapy. However, patients are often left with neuropathic damage leading to lifelong vulnerability to ulcers. …”
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Predicting biogas production in real scale anaerobic digester under dynamic conditions with machine learning approach by M. Erdem Isenkul, Sevgi Güneş-Durak, Yasemin Poyraz Kocak, İnci Pir, Mertol Tüfekci, Güler Türkoğlu Demirkol, Selçuk Sevgen, Aslı Seyhan Çığgın, Neşe Tüfekci

“…Hyperparameter tuning was conducted to enhance prediction accuracy while reducing model error. The findings demonstrated that ML-based modelling can serve as a reliable and effective tool to improve biogas production efficiency in wastewater treatment applications. …”
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Enhanced gait tracking measures for individuals with stroke using leg-worn inertial sensors by Francesco Lanotte, Shusuke Okita, Megan K. O’Brien, Arun Jayaraman

“…The EGSA also demonstrated lower error than the SGSA when detecting paretic FC, and FO events in slow, asymmetrical, and non-paretic footfalls. …”
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Elbow rotation affects the accuracy of rotational formulas: validation of a modified method by Yong Liu, Xiaoju Liang, Jianping Sun, Jining Qu, Bohai Qi, Yating Yang, Qiang Jie

“…Results The PRCF method showed an average error of 17.98° ± 12.31° with a maximum error of 46.46%. …”
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Machine Learning Prediction of Airfoil Aerodynamic Performance Using Neural Network Ensembles by Diana-Andreea Sterpu, Daniel Măriuța, Grigore Cican, Ciprian-Marius Larco, Lucian-Teodor Grigorie

“…The novelty of this study lies in the demonstration that the same machine learning model, trained on identical data and architecture, can exhibit up to 250% variation in prediction error solely due to differences in random seed selection. …”
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Context-Aware Embedding Techniques for Addressing Meaning Conflation Deficiency in Morphologically Rich Languages Word Embedding: A Systematic Review and Meta Analysis by Mosima Anna Masethe, Hlaudi Daniel Masethe, Sunday O. Ojo

“…The results point to a sizable impact size, but the estimates are highly unclear, as evidenced by the huge standard error and non-significant <i>p</i>-value. The review concludes that although contextually aware embeddings have promise in treating Meaning Conflation Deficiency, there is a great deal of variability and uncertainty in the available data. …”
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Medicinal Plants and Histamine (H1) Receptors: An Updated Review by Mahboobeh Ghasemzadeh Rahbardar, Farzaneh Shakeri, Mohammad Hossein Boskabady

“…They may also help alleviate pain by decreasing pain response, improve memory deficit through H1 receptor antagonism, reduce working memory errors, and treat insomnia by binding to H1 receptors and increasing sleep duration. …”
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Moxibustion for cognitive impairment: A systematic review and meta-analysis of animal studies by Sungmin Aum, Seon Choe, Mudan Cai, Ui Min Jerng, Jun-Hwan Lee

“…There was a significantly enhanced latency period and reduced error time in the step-down test and nerve behavior score. …”
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Joint Optical Performance Monitoring and Modulation Format&#x002F;Bit-Rate Identification by CNN-Based Multi-Task Learning by Xiaojie Fan, Yulai Xie, Fang Ren, Yiying Zhang, Xiaoshan Huang, Wei Chen, Tianwen Zhangsun, Jianping Wang

“…For OPM, the results show monitoring of optical signal-to-noise ratio, chromatic dispersion, and differential group delay with root-mean-square error of 0.73 dB, 1.34 ps&#x002F;nm, and 0.47&#x00A0;ps, respectively. …”
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DeepPoly: Deep Learning-Based Polyps Segmentation and Classification for Autonomous Colonoscopy Examination by Md Shakhawat Hossain, Md. Mahmudur Rahman, M. Mahbubul Syeed, Mohammad Faisal Uddin, Mahady Hasan, Md. Aulad Hossain, Amel Ksibi, Mona M. Jamjoom, Zahid Ullah, Md Abdus Samad

“…Manual colonoscopy examination for precancerous polyps detection is time-consuming, tedious, and prone to human error. Automatic segmentation and analysis could be fast and practical; however, existing automated methods fail to attain adequate accuracy in polyps segmentation. …”
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BrYOLO-Mamba: A Approach to Efficient Tracheal Lesion Detection in Bronchoscopy by Yuejiao Cao, Jianzhong Zhang, Ruibing Zhuo, Jin Zhao, Yanting Dong, Tanzhen Liu, Hui Zhao

“…Bronchoscopy is an important clinical tool for diagnosing and treating pulmonary diseases, playing a crucial role in the early detection of lesions and improving treatment outcomes. …”
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Harnessing machine learning for transmembrane pressure prediction in MBR systems during textile wastewater treatment by Onaira Zahoor, Sher Jamal Khan, Muhammad Usama, Henry J. Tanudjaja, Noreddine Ghaffour, Muhammad Saqib Nawaz

“…Membrane Bioreactors (MBRs) are preferred for treating high-strength industrial wastewater due to their exceptional treatment efficiency and compact design. …”
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Accuracy of Measurement Tools for Ocular-Origin Anomalous Head Posture and the Cervical Range of Motion Kinematics in Children with an Anomalous Head Position by Serena Cerfoglio, Francesco Bonsignore, Giuseppina Bernardelli, Lucia Donno, Fabiana Aili, Manuela Galli, Francesca Nucci, Edoardo Villani, Paolo Nucci, Veronica Cimolin

“…The accurate assessment of anomalous head posture (AHP) is crucial for diagnosing, treating, and monitoring postural changes in individuals with ocular impairments. …”
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Should Studies of Diabetes Treatment Stratification Correct for Baseline HbA1c? by Angus G Jones, Mike Lonergan, William E Henley, Ewan R Pearson, Andrew T Hattersley, Beverley M Shields

“…<h4>Methods</h4>We assessed the relationship between baseline HbA1c and glycaemic response in 257 participants treated with GLP-1R agonists and assessed whether it reflected measurement error and regression to the mean using duplicate 'pre-baseline' HbA1c measurements not included in the response variable. …”
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Comparison of changes in corneal volume and corneal thickness after myopia correction between LASIK and SMILE. by Anna Schuh, Carolin M Kolb, Wolfgang J Mayer, Efstathios Vounotrypidis, Thomas Kreutzer, Thomas Kohnen, Siegfried Priglinger, Mehdi Shajari, Daniel Kook

“…Aim of the study was to compare changes in corneal volume and thickness after the respective laser treatment. 104 eyes of 52 patients were matched based on refractive error into two equally sized groups, either treated with LASIK or SMILE. …”
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Equalizer Design: HBOA-DE-trained radial basis function neural networks by Santosh Kumar Das, Satya Ranjan Pattanaik, Pradyumna Kumar Mohapatra, Saroja Kumar Rout, Abdulaziz S. Almazyad, Muhammed Basheer Jasser, Guojiang Xiong, Ali Wagdy Mohamed

“…As a result, achieving error-free signal transmission in wireless communication is often challenging. …”
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A dual-purpose solar collector as a parallel flow heat exchanger: A novel mathematical framework by Mustafa Moayad Hasan, Krisztián Hriczó

“…To ensure the reliability and robustness of the suggested model, the obtained results were compared with experimental data from existing studies, focusing on two key metrics: relative percentage error and average relative percentage error. The analysis yielded a relative percentage error of 2.94% and an average relative percentage error of 1.3%. …”
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Neurophysiology of executive cognitive functions under depression by Eloisa Ruiz-Marquez

“…Regarding feedback processing, the alterations of error-related negativity (ERN), correct response negativity (CRN), and error positivity (Pe), at anterior cingulate cortex (ACC), and frontal regions, are related with troubles for error awareness, cognitive control, and error monitoring in depression. …”
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Analyzing microbiome data with taxonomic misclassification using a zero-inflated Dirichlet-multinomial model by Matthew D. Koslovsky

“…It is therefore essential to treat microbial samples as compositional. Another complicating factor of modeling microbiome data is that taxa counts are subject to measurement error introduced at various stages of the measurement protocol. …”
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