Development of the Automated System for Radiation Risk Analysis: goals, tasks and the vision for progress by L. V. Repin, R. R. Akhmatdinov, A. M. Biblin, V. S. Repin

“…Before the practical development of the system in accordance with the terms of reference, the main parameters in view of its interaction with the user were determined: arrangement of the user interface elements, main input parameters, primary calculated indicators and output calculation results, etc. …”
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Diaphragmatic ultrasound-derived MV×DE: a novel predictor of postextubation adverse respiratory events in general anesthesia patients (observational study) by Jing Huang, Yanzi Yi, Xiaotian Zhang, XiaoXiao Li, Zhouquan Wu

“…Concurrent respiratory parameters (tidal volume, respiratory rate, and PEEP) were also recorded. …”
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Estimation of Hydraulic Properties of Growing Media from Numerical Inversion of Mini Disk Infiltrometer Data by Hadi Hamaaziz Muhammed, Ruediger Anlauf, Diemo Daum

“…Extending the suction range of measurement techniques is also recommended to improve parameter estimation. This study provides important evidence that the inverse method based on MDI is an effective tool for rapidly determining the hydraulic functions of substrates, which are important in promoting sustainable horticultural practices. …”
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Machine learning-based spirometry reference values for the Iranian population: a cross-sectional study from the Shahedieh PERSIAN cohort by Mohammad Sadegh Loeloe, Reyhane Sefidkar, Seyyed Mohammad Tabatabaei, Amir Houshang Mehrparvar, Sara Jambarsang

“…ObjectiveThis study aimed to determine spirometric norm values for the healthy Iranian adult population and compare them with established norm equations, specifically the GLI-Caucasian and Iranian equations.MethodsDuring the recruitment phase of the Shahedieh Prospective Epidemiological Research Studies in Iran (PERSIAN) in 2016, spirometric parameters of 998 participants were obtained. KNN regression was used to extract reference values for spirometric parameters FEV1, FVC, FEV1/FVC, and FEF25–75%, considering height and age as features. …”
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Immunomorphological specifcity of HER2-low breast cancer by I. V. Mikhailov, E. R. Eremeeva, A. A. Glazkov, I. M. Telezhnikova, G. R. Setdikova, A. S. Balkanov

“…Assessment of tumor infltrating lymphocytes (TiLs) has been recognized as an additional tool for predicting survival in triple negative (TN) and HER2/neu positive (HER2+) subtypes of breast cancer (BC). …”
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Impact of exercise training on exercise tolerance, cardiac function and quality of life in individuals with heart failure and preserved ejection fraction: a systematic review and m... by Hu Li, Yingxue Liu, Yu Liu, Zhichao Xu, Pengchao Pan, Lijun Zeng

“…Data on exercise tolerance, cardiac function parameters, and quality of life were extracted. The quality of the studies was assessed using the Cochrane Collaboration’s risk of bias tool. …”
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Evaluating the Hamstring-to-Quadriceps Rate of Torque Development Ratio as an Indicator of Knee Stability in Male Basketball Players: A Cross-Sectional Study by Maha Moore, Amin Kordi Yoosefinejad, Farzaneh Yazdani, Samaneh Ebrahimi

“…Other biomechanical parameters did not significantly correlate with the rate of torque development hamstrings to quadriceps ratio.Conclusion: This study's results revealed that the torque development rate hamstrings to quadriceps ratio was negatively associated with knee kinematic and kinetic parameters. …”
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Study on Nuclear Design of Long-life Lunar Surface Nuclear Reactor Power Supply Based on Annular Fuel by SHI Yunda1, ZHAO Shouzhi1, , SUN Zheng1, HU Binhe1, YUAN Xiaoming2, YANG Rui1

“…The MCNP program was used as the calculation tool to complete the design and optimization of the core physics scheme, and all indicators meet the design requirements of space reactor. …”

Developing a machine learning model for predicting varicocelectomy outcomes: a pilot study by Coşkun Kaya, Mehmet Erhan Aydın, Özer Çelik, Aykut Aykaç, Mustafa Sungur

“…ML models could be identified as a new prediction tool for selecting the patients who will benefit from varicocelectomy. …”
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Texture analysis of T1- and T2-weighted images identifies myofiber atrophy and grip strength decline in streptozotocin-induced type 1 diabetic sarcopenia rats by Dong Xing, Fang Liu, Yufan Gao, Ziyan Fei, Yunfei Zha

“…These findings indicate that MRI texture parameters serve as potential biomarkers for diagnosing muscle damage in type 1 diabetic sarcopenia patients, suggesting that MRI texture parameters are promising noninvasive tools for early detection and monitoring of myofiber atrophy in diabetic sarcopenia.…”
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Influence of wearable rhythmic auditory stimulation on Parkinson’s disease, multiple sclerosis, and stroke: a systematic review and meta-analysis by Sofia Scataglini, Cas Van Bocxlaer, Lynn Jansen, Laura Van Es, Charlotte Van Laerhoven, Steven Truijen

“…Inclusion criteria: all neurological disorders, Rhythmic auditory stimulation, wearable devices, movement parameters, studies written in Dutch or English. Exclusion criteria: non-neurological disorders, children, animals, healthy individuals, other interventions, EMG and EEG outcome parameters, patient reported outcome parameters, systematic reviews, meta-analyses, and other languages besides Dutch or English. …”
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Validating the underpinnings of water corticosterone measurement for aquatic amphibians [version 1; peer review: 2 approved] by Charlotte A Hosie, Robert Coleman, Christopher J Emmans, Andrew M Holmes, Tessa E Smith

“…This study validated methods to non-invasively measure corticosterone, the amphibian ‘stress’ hormone, from tank water to provide a robust and reliable welfare assessment tool. Methods We report experiments (A) that evaluate parameters linked to the performance of our biochemical extraction methods for waterborne corticosterone and, importantly, associated sampling procedures. …”
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A freely accessible, adaptable hollow-fiber setup to reproduce first-order absorption: illustration with linezolid cerebrospinal fluid pharmacokinetic data by N. Prébonnaud, A. Chauzy, N. Grégoire, C. Dahyot-Fizelier, C. Adier, S. Marchand, V. Aranzana-Climent

“…Observed pharmacokinetic parameters and concentrations in the ECS were compared with the target clinical pharmacokinetic parameters and concentrations. …”
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Pharmacognostic analysis and antimalarial evaluation of quercetin in Ilex umbellulata bark using HPTLC, in vitro screening, molecular docking, and network pharmacology by James H. Zothantluanga, Dipak Chetia, Yasangam Umbon, T. C. Lalhriatpuii, Dhritiman Roy, Nidahun Lamare, Salem Lalvenhimi

“…Despite its traditional relevance, the pharmacognostic parameters and pharmacological properties remained unexplored. …”
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Quantifying the tumour vasculature environment from CD-31 immunohistochemistry images of breast cancer using deep learning based semantic segmentation by Tristan Whitmarsh, Wei Cope, Julia Carmona-Bozo, Roido Manavaki, Stephen-John Sammut, Ramona Woitek, Elena Provenzano, Emma L. Brown, Sarah E. Bohndiek, Ferdia A. Gallagher, Carlos Caldas, Fiona J. Gilbert, Florian Markowetz

“…Conclusion Our proposed method shows promise as a tool for studying the tumour vasculature and its relationship with surrounding cells and tissue types. …”
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Lung function trajectories in children with early diagnosis of non-cystic fibrosis bronchiectasis: a retrospective observational study by Rossella Lamberti, Simona Ferraro, Andrea Farolfi, Michele Ghezzi, Salvatore Zirpoli, Alice Marianna Munari, Sai Spandana Adivishnu, Giuseppe Marano, Elia Biganzoli, Gian Vincenzo Zuccotti, Enza D’Auria

“…For each lung function parameter, a longitudinal regression model was fitted. …”
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KHNN: Hypercomplex-valued neural networks computations via Keras using TensorFlow and PyTorch by Agnieszka Niemczynowicz, Radosław A. Kycia

“…Neural networks that utilize algebras more advanced than real numbers, such as hypercomplex numbers, can outperform traditional models in certain applications, usually, in the number of training parameters giving the same accuracy. However, no general framework exists for constructing hypercomplex neural networks. …”
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Predicting Harmonic Distortion of Multiple Converters in a Power System by P. M. Ivry, O. A. Oke, D. W. P. Thomas, M. Sumner

“…These uncertainties may arise due to system parameter changes or design parameter choice. In this work, the impact of uncertainties on the prediction of harmonics in a power system containing multiple Voltage Source Converters (VSCs) is investigated. …”
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PRODUCTION AND TECHNO-ECONOMIC OPPORTUNITIES OF USE OF WHEY IN INDUSTRIAL PROCESSES by Slavica ARSIĆ, Maja BULATOVIĆ, Marica RAKIN, Zorica SREDOJEVIĆ

“…It is equipped with a wide spectrum of processes and is a powerful tool that can be used for the mathematical assessment of economic parameters.…”
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Evaluating housing in urban planning using TOPSIS technique: cities of Isfahan province by Izadi Maliheh, Vardanjani Mehdi Jafari, Varesi Hamidreza

“…The indices of housing serve as an important tool in planning for housing, in that they allow the parameters affecting housing to be recognised and any planning process to be facilitated. …”
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