Devising a Breast Cancer Diagnosis Protocol through Machine Learning by Tooba Mujtaba, Saif Ullah Hashmi, Usama Bin Imtiaz, Sheikh Jameel Fathima Nusra

“…The support vector machine (SVM) and decision tree models of machine learning were used to evaluate the prognostic and diagnostic significance. …”
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Value of serum LncRNA KIF9-AS1 combined with CT signs in the diagnosis of benign and malignant early pulmonary nodules and its correlation with prognosis by Huichao Wu, Jian Liu, Zhongjun Jing, Zihua Qi, Xianjun Ma, Junying Zhao, Laichong Huang

“…The receiver operator characteristic (ROC) curve was plotted to evaluate the diagnostic performance while the Kaplan-Meier curve and multivariate Cox regression analysis were employed for prognosis. …”
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Anamnesis Checklist for Informed Oral Contraceptive Choices: A Spanish Perspective by Josep Perelló-Capo, Ángeles Blanco Molina, Javier Trujillo Santos, María López Menéndez Arqueros, Esther de la Viuda, Borja Otero García-Ramos, Dolores Pérez Jaraíz, Luis Ignacio Devesa Otero

“…Medians were computed for each variable, and the study group collaboratively determined the variables to include in the anamnesis checklist. …”
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Intelligent Manufacturing in Wine Barrel Production: Deep Learning-Based Wood Stave Classification by Frank A. Ricardo, Martxel Eizaguirre, Desmond K. Moru, Diego Borro

“…Innovative wood inspection technology is crucial in various industries, especially for determining wood quality by counting rings in each stave, a key factor in wine barrel production. (1) Background: Traditionally, human inspectors visually evaluate staves, compensating for natural variations and characteristics like dirt and saw-induced aberrations. …”
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Enhancing the thermal performance of double-pipe heat exchangers using wire coil inserts: A focused review by Saif Ali Kadhim, Rassol Hamed Rasheed, Karrar A. Hammoodi, Ali M. Ashour, Farhan Lafta Rashid, Muntadher Mohammed Ali Saeed, Abdallah Bouabidi, Shahin Shoeibi, Walid Aich, Mustafa M. Hasan

“…The review critically compares enhancement techniques, evaluates computational fluid dynamics modeling approaches, and identifies gaps in hybrid insert applications use and outer tube design. …”
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SIGNETS: Neural Network Architectures for m-QAM Soft Demodulation by Aravind R. Voggu, Kanish R, Nishith Akula, Lohitaksh Maruvada, Takanori Shimizu, Madhav Rao

“…Through systematic Neural Architecture Search and Hyper-parameter optimization, we develop a family of Convolutional Neural Network architectures that demonstrate robust performance across challenging channel conditions, including multi-path fading, inter-symbol interference, and non-linear distortions, without requiring explicit channel estimation. We comparatively evaluate the members of the family of networks to find a Pareto-optimal Neural Network Demodulator with a balance of demodulation accuracy and computational cost, achieving an average accuracy of 99.658% across 4 dB to 24 dB SNR while requiring less than 16,000 Floating-Point Operations (FLOPs) for every demodulated QAM-16 symbol. …”
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Proactive esophageal cooling protects against thermal insults during high-power short-duration radiofrequency cardiac ablation by Marcela Mercado Montoya, Tatiana Gomez Bustamante, Enrique Berjano, Steven R. Mickelsen, James D. Daniels, Pablo Hernandez Arango, Jay Schieber, Erik Kulstad

“…Background Proactive cooling with a novel cooling device has been shown to reduce endoscopically identified thermal injury during radiofrequency (RF) ablation for the treatment of atrial fibrillation using medium power settings. We aimed to evaluate the effects of proactive cooling during high-power short-duration (HPSD) ablation.Methods A computer model accounting for the left atrium (1.5 mm thickness) and esophagus including the active cooling device was created. …”
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Can We Discover Physical Models Using Machine Learning? A Case Study of Galaxy Sizes by Festa Buçinca-Çupallari, Ariyeh H. Maller, Viviana Acquaviva, Austen Gabrielpillai, Rachel S. Somerville

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Determination of Six Macrolide Antibiotics in Chicken Sample by Liquid Chromatography-Tandem Mass Spectrometry Based on Solid Phase Extraction by Chen Lan, Dan Yin, Zhicong Yang, Wuduo Zhao, Yanlong Chen, Wenfen Zhang, Shusheng Zhang

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Terahertz Waveguides: A Bibliometric Analysis of the Past 20 Years by Arslan Ahmed Sohoo, Fauziahanim Che Seman, See Khee yee, Sajjad Ahmed, Izhar Ahmed

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Contamination of vegetable products with nitrates as a public health risk factor by Olga G. Bogdanova, Natalia V. Efimova, Inna Yu. Tarmaeva

“…Our study aimed to investigate the contamination levels of vegetable products with nitrates and to evaluate the associated health risks to population of Baikalia. …”
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A WiFi RSSI ranking fingerprint positioning system and its application to indoor activities of daily living recognition by Zixiang Ma, Bang Wu, Stefan Poslad

“…First, an access point selection based on a genetic algorithm is applied to reduce the positioning computational cost and increase the positioning accuracy. …”
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Mathematical Model and Analysis on the Impacts of Vaccination and Treatment in the Control of the COVID-19 Pandemic with Optimal Control by Alemzewde Ayalew, Yezbalem Molla, Tenaw Tilahun, Tadele Tesfa

“…In this study, a nonlinear deterministic mathematical model that evaluates two important therapeutic measures of the COVID-19 pandemic: vaccination of susceptible and treatment for infected people who are in quarantine, is formulated and rigorously analyzed. …”
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Modeling of lifetime scenarios with non-monotonic failure rates. by Amani Abdullah Alahmadi, Olayan Albalawi, Rana H Khashab, Arne Johannssen, Suleman Nasiru, Sanaa Mohammed Almarzouki, Mohammed Elgarhy

“…Various measures of uncertainty for the MKWD such as Rényi entropy, exponential entropy, Havrda and Charvat entropy, Arimoto entropy, Tsallis entropy, extropy, weighted extropy and residual extropy are computed. We discuss eight different parameter estimation methods and conduct a Monte Carlo simulation study to evaluate the performance of these different estimators. …”
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Tracing the historical foundations of infliximab in Crohn’s disease treatment: a cited reference analysis by Andy Wai Kan Yeung

“…The disruption index was computed with an automated routine described by Leydesdorff and Bornmann, which is freely available online. …”
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From diverticulum to diagnosis: The distinctive role of Endoscopic Ultrasonography in Lemmel syndrome. by Xin Chen, Xingkang He, Xiaoli Chen, Qian Cao

“…Magnetic resonance cholangiopancreatography (MRCP), abdominal computed tomography (CT) and upper abdominal enhanced MR were all failed to diagnose Lemmel syndrome. …”
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Differential Association of Regional Adipose Tissue Deposit with Cardiovascular-Kidney-Metabolic Syndrome by In-Jeong Cho, Sang-Eun Lee, Wook Bum Pyun

“…Additionally, the triglyceride and glucose (TyG) index was evaluated as a marker of insulin resistance, while glomerular filtration rate (GFR) was estimated to assess kidney function. …”
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Markov approach for inventory control with meta-heuristics in intermittent demand environment. by Ferhat Yuna, Burak Erkayman, Mustafa Yılmaz

“…The inventory management process of intermittent demand was first evaluated without the Markov approach, and then the Markov approach was included in the process. …”
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On the Accuracy of RAS Method in an Emergent Economy by Emilian Dobrescu, Viorel Gaftea

“…For each year, two (10x10) matrices: aij (statistically recorded technical coefficients) and raij (the same coefficients estimated using RAS method) were computed. The paper is organized in three sections. …”
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Real-time scattering in Ising field theory using matrix product states by Raghav G. Jha, Ashley Milsted, Dominik Neuenfeld, John Preskill, Pedro Vieira

“…In the postcollision wave function, particle tracks from all final-state channels occur in superposition; processes of interest can be isolated by projecting the wave function onto definite particle sectors, or by evaluating energy density correlation functions. Using numerical simulations we determine the time delay of elastic scattering and the probability of inelastic particle production as a function of collision energy. …”
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