Aerosol Measurements over India: Comparison of MAX-DOAS Measurements with Ground-based (AERONET) and Satellite-based (MODIS) Data by Prithviraj Mali, Mriganka Sekhar Biswas, Steffen Beirle, Thomas Wagner, Shrivardhan Hulswar, Swaleha Inamdar, Anoop S. Mahajan

“…We utilized a profile retrieval algorithm to estimate the vertical profiles and vertical column densities of aerosols (AOD) using MAX-DOAS measurements of the oxygen dimer (O4) at ultraviolet and visible spectral regions. …”
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Determinants and Characteristics of Insulin Dose Requirements in Children and Adolescents with New-Onset Type 1 Diabetes: Insights from the INSENODIAB Study by Maude Beckers, Olivier Polle, Paola Gallo, Noémie Bernard, Céline Bugli, Philippe A. Lysy

“…These findings have paved the way for the development of a dosing algorithm to potentially expedite glycemic control stabilization and facilitate a more individualized approach to treatment regimens.…”
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Development of a Three-Stage Hybrid Model by Utilizing a Two-Stage Signal Decomposition Methodology and Machine Learning Approach to Predict Monthly Runoff at Swat River Basin, Pak... by Muhammad Sibtain, Xianshan Li, Ghulam Nabi, Muhammad Imran Azam, Hassan Bashir

“…CEEMDAN decomposes the runoff time series into subcomponents, and VMD performs further decomposition of the high-frequency component obtained after CEEMDAN decomposition to improve the prediction activity. Afterward, the SVM algorithm was applied to the decomposed subcomponents for the prediction purpose. …”
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Personalized metronomic radiopharmaceutical therapy through injection profile optimization via physiologically based pharmacokinetic (PBPK) modeling by Aryan Golzaryan, M. Soltani, Farshad Moradi Kashkooli, Babak Saboury, Arman Rahmim

“…We designed a treatment algorithm to select optimal regimens with high AD, while investigating what we term radiopharmaceutical delivery payload (RDP). …”
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QUALITY EVALUATION OF THE TPP POWER GENERATING UNITS WEAR RECONDITIONING by E. M. Farhadzadeh, A. Z. Muradaliyev, Yu. Z. Farzaliyev

“…The developed method and algorithm for quality evaluation of the scheduled repair implementation contribute to practical realization of the independent monitoring. …”
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Dual‐fluorescence imaging and automated trophallaxis detection for studying multi‐nutrient regulation in superorganisms by Lior Baltiansky, Einav Sarafian‐Tamam, Efrat Greenwald, Ofer Feinerman

“…Additionally, our image‐based deep learning algorithm for automatic detection of ant trophallaxis events efficiently yields a detailed record of all food‐transfer interactions. …”
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Trellis Decoding for Qudit Stabilizer Codes and Its Application to Qubit Topological Codes by Eric Sabo, Arun B. Aloshious, Kenneth R. Brown

“…The modified decoder works for any stabilizer code <inline-formula><tex-math notation="LaTeX">$S$</tex-math></inline-formula> and separates into two parts: 1) a one-time offline computation that builds a compact graphical representation of the normalizer of the code, <inline-formula><tex-math notation="LaTeX">$\mathcal {S}^{\perp}$</tex-math></inline-formula> and 2) a quick, parallel, online query of the resulting vertices using the Viterbi algorithm. We show the utility of trellis decoding by applying it to four high-density length-20 stabilizer codes for depolarizing noise and the well-studied Steane, rotated surface, and 4.8.8/6.6.6 color codes for <inline-formula><tex-math notation="LaTeX">$Z$</tex-math></inline-formula> only noise. …”
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A graph neural network approach for hierarchical mapping of breast cancer protein communities by Xiao Zhang, Qian Liu

“…Then, a group-lasso algorithm was applied to identify protein communities that are under both mutation burden and survival burden, undergo significant alterations when targeted by specific drug molecules, and show cancer-dependent perturbations. …”
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Analysis of the Effectiveness of Variants of the Exhaust Compartment of a Steam Turbine by V. G. Solodov, V. A. Konev

“…The solver used an implicit difference TVD-scheme of finite volumes of the 2nd order of accuracy based on the solution of the Riemann problem. A variant of the algorithm based on splitting the computational process for multiprocessor platforms was used in the calculation. …”
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Fuzzy entropy type II method for optimizing clean and renewable solar energy by M. Ramli, M. Mardlijah, M. Ikhwan, K. Umam

“…Before modification, the system containing the fuzzy set generates a histogram of entropy and voltage performance, which is the initial value and the comparison value. The algorithm alters the footprint of the uncertainty limit. …”
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Acute kidney injury, the present on admission (POA) indicator and sex disparities: observational study of inpatient real-world data in a Swiss tertiary healthcare system. Explorati... by Michael Simon, Sarah N Musy, Karen Triep, Olga Endrich

“…At the largest Swiss provider of inpatient acute healthcare, a clinic decision support algorithm ensures exact staging of KD (2012 KDIGO Kidney Disease Improving Global Outcomes Clinical Practice Guideline). …”
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Myoelectric pattern recognition with virtual reality and serious gaming improves upper limb function in chronic stroke: a single case experimental design study by Maria Munoz-Novoa, Morten B. Kristoffersen, Katharina S. Sunnerhagen, Autumn Naber, Max Ortiz-Catalan, Margit Alt Murphy

“…Abstract Background Myoelectric pattern recognition (MPR) combines multiple surface electromyography channels with a machine learning algorithm to decode motor intention with an aim to enhance upper limb function after stroke. …”
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Construction and Simulation of Online English Reading Model in Wireless Surface Acoustic Wave Sensor Environment Optimized by Particle Swarm Optimization by Bolan Zhou

“…A set of polarization parameters is selected to calculate the electromagnetic-polarization response under trapezoidal waves in a uniform half-space, and the basic particle swarm algorithm is used to extract single and multiple parameters, respectively. …”
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Prediction of the cutting tool wear during dry hard turning of AISI D2 steel by using models based on Learning process and GA polyfit by Khaled Djellouli, Kamel Haddouche, Mostefa Belarbi, Zoubir Aich

“…For this purpose, the current research focuses on the development of predictive models of flank wear based on Artificial Neural Network (ANN), Gaussian Process Regression (GPR), Support Vector Machine (SVM), and Polynomial Fit using Genetic Algorithm (GAPOLYFITN). The simulation process involves considering input variables including feed (f), cutting speed (Vc), and cutting time (tc); the output is the flank wear (VB). …”
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Evaluating Methods for Aflatoxin B1 Monitoring in Selected Food Crops Within Decentralized Agricultural Systems by Haadia Tanveer, Hannah Glesener, Blake Su, Brooke Bolsinger, Rosa Krajmalnik-Brown, Lee E. Voth-Gaeddert

“…For LFA, a smartphone-based algorithm achieved a high presence/absence accuracy rate of 84% but struggled with concentration prediction. …”
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A Comparative Study of VMD-Based Hybrid Forecasting Model for Nonstationary Daily Streamflow Time Series by Hui Hu, Jianfeng Zhang, Tao Li

“…The latest decomposition model, the VMD algorithm, was first applied to extract the multiscale features from the entire time series and to decompose them into several subseries, which were predicted after that using forecast models. …”
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Multi-scenario analysis of green water resource efficiency under carbon emission constraints in the Chengdu-Chongqing urban agglomeration, China: A system dynamics approach by Keyao Yu, Zhigang Li

“…This study examines the dynamic evolution of green water resource efficiency (GWRE) under carbon emission constraints in Chengdu-Chongqing urban agglomeration (CCUA) from 2005 to 2021 by Super SBM-DEA algorithm. We analyze its dynamic trends using kernel density estimation and standard deviation ellipse methods. …”
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QUANTIFICATION OF ECTOPIC FAT DEPOTS IN PATIENTS WITH CORONARY HEART DISEASE by A. N. Kokov, N. K. Brel, V. L. Masenko, O. V. Gruzdeva, Yu. A. Dyleva, E. V. Belik, O. L. Barbarash

“…Significantly higher morphometry indices of the studied fat depots in patients with coronary artery disease demonstrate the need to develop a unified diagnostic algorithm for reliable stratification of cardiometabolic risk.…”
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A foundation systematic review of natural language processing applied to gastroenterology & hepatology by Matthew Stammers, Balasubramanian Ramgopal, Abigail Owusu Nimako, Anand Vyas, Reza Nouraei, Cheryl Metcalf, James Batchelor, Jonathan Shepherd, Markus Gwiggner

“…Two independent reviewers extracted study information, clinical/algorithm details, and relevant outcome data. Methodological quality and bias risks were appraised using a checklist of quality indicators for NLP studies. …”
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Stimulation of MMP-1 and CCL2 by NAMPT in PDL Cells by Marjan Nokhbehsaim, Sigrun Eick, Andressa Vilas Boas Nogueira, Per Hoffmann, Stefan Herms, Holger Fröhlich, Søren Jepsen, Andreas Jäger, Joni Augusto Cirelli, James Deschner

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