BattyCoda: A novel open-source software for bat call annotation and classification by Gabriela C. Nunez-Mir, Kevin M. Boergens, Jessica C. Montoya, Hannah ter Hofstede, Angeles Salles

“…Our tool can greatly facilitate annotating bat calls in recordings by providing accurate labels for common call types, while also assisting researchers in categorizing rarer communication calls. …”
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Computational Intelligence-Based Structural Health Monitoring of Corroded and Eccentrically Loaded Reinforced Concrete Columns by Somain Sharma, Harish Chandra Arora, Aman Kumar, Denise-Penelope N. Kontoni, Nishant Raj Kapoor, Krishna Kumar, Arshdeep Singh

“…The proposed ANN model is reliable, accurate, fast, and cost effective. This model can also be used as a structural health-monitoring tool to detect the early damages in the RC columns.…”
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Characteristics of Extreme Runoff in Beijiang River Basin during Dry Season from 1954 to 2020 by ZENG Zhiping, ZHENG Yanhui, ZHOU Yueying, GU Xihui, HE Yanhu

“…This paper utilized the daily average flow data from 1954 to 2020 at the Shijiao control station within the Beijiang River Basin. It also employed indicators of hydrological alteration (IHA), heuristic segmentation algorithms, Mann-Kendall trend test, and wavelet analysis to examine the distribution characteristics, trends, variability, and cycle of extreme runoff in the Beijiang River Basin during dry season across various time scales. …”
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EPIGENETIC REGULATION OF GENE EXPRESSION IN HEAD AND NECK SQUAMOUS CELL CARCINOMA: THERAPEUTIC PERSPECTIVES by R. B. Samsonov, Z. A. Radzhabova, Yu. V. Cheburkin, V. A. Klyuge, E. V. Tkachenko, A. V. Malek

“…Unfortunately, optimization of diagnostic algorithms and wide implementation of instrumental diagnostics (ultrasound examination, computed tomography, fiber endoscopy) do not improve the situation. …”
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Deep learning driven methodology for the prediction of mushroom moisture content using a novel LED-based portable hyperspectral imaging system by Kai Yang, Ming Zhao, Dimitrios Argyropoulos

“…For comparison purposes, state-of-the-art machine learning algorithms, i.e., support vector machine regression (SVMR) and partial least squares regression (PLSR) were also investigated for the model development based on five spectra pre-processed methods using two different lighting systems i.e., enhanced light-emitting diode (LED) and tungsten halogen (TH). …”
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Prediction of Pt, Ir, Ru, and Rh complexes light absorption in the therapeutic window for phototherapy using machine learning by V. Vigna, T. F. G. G. Cova, A. A. C. C. Pais, E. Sicilia

“…The model is efficient, fast, and resource-light, using decision tree-based algorithms that provide interpretable results. This interpretability helps to understand classification rules and facilitates targeted structural modifications to convert inactive complexes into potentially active ones.…”
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Identification of hub immune-related genes and construction of predictive models for systemic lupus erythematosus by bioinformatics combined with machine learning by Su Zhang, Weitao Hu, Yuchao Tang, Hongjie Lin, Xiaoqing Chen

“…Three machine learning algorithms were applied to DE-IRGs to screen for hub DE-IRGs. …”
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Pain sensitisation and joint inflammation in patients with active rheumatoid arthritis by Sam Norton, Bruce W Kirkham, James Galloway, Khaldoun Chaabo, Toby Garrood, Zoe Rutter-Locher, Estee Chan, Alex Vincent

“…However, RA patients with fibromyalgia (FM), a central nociplastic pain syndrome, also have power doppler ultrasound (PDUS+) joint inflammation. …”
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How real is the long-lasting effect of tumor necrosis factor α inhibitors? Focus on immunogenicity by D.E. Karateev

“…The structure of biological drugs (which also affects their immunogenicity) has the key neg- ative effect on maintaining the response to therapy and frequency of AEs. …”
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The role of artificial intelligence in breast cancer screening as a supportive tool for radiologists by Agata Król, Katarzyna Kwaterska, Karol Kutyłowski, Paweł Łuckiewicz

“…Difficulties, possible errors and people’s opinion were also highlighted. Conclussion AI algorithms find their potential application in breast cancer screening, mainly as a supportive tool for radiologists. …”
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Intelligent fault diagnosis of shearer based on simplified interval kernel global-local feature fusion by Ning LI, Hua DING, Xiaochun SUN, Zeping LIU, Guoshu PU

“…Moreover, it can accurately identify the relevant variables that cause faults, which provides a theoretical basis for determining the fault location of shearer and also points out the direction for the accurate implementation of maintenance decisions.…”
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Assessment of copeptin and obestatin levels in coronary artery disease patients by Saraa Ali, Fatma F. Abdel Hamid, Samia Hussein, Shaimaa Wageeh, Doaa M. Ibrahim

“…They are currently assessed clinically through myocardial enzymes, electrocardiography, risk score algorithms, and angiography. It is important to find a suitable marker to differentiate them from other causes of chest pain. …”
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Real-World Safety Profile of Proton Pump Inhibitors in Infants as Reported in the FDA Adverse Event Reporting System (FAERS): Tiny Tummies, Key Decisions by Hülya Tezel Yalçın, Nadir Yalçın, Karel Allegaert

“…Integrating neonatal-specific algorithms could enhance drug safety evaluations, strengthen evidence-based decision-making, and improve risk–benefit assessments in neonates and infants.…”
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Identification of cell specific biomarkers for intellectual disability via single cell RNA sequencing and transcriptomic bioinformatics approaches by Kh Mujahidul Islam, Md Habibur Rahman, Md. Arju Hossain, Mahfuj Khan, Md. Mizanur Rahman, Prosenjit Saha Apu, Md Imran Hasan, Siddique Akber Ansari, Mahammad Humayoo

“…Specific genetic disorders that result in ID can also have immune system anomalies, such as changes in T (CD4+ and CD8+) cell activity. …”
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A machine learning-based model for predicting survival in patients with Rectosigmoid Cancer. by Yifei Wang, Bingbing Chen, Jinhai Yu

“…Subsequently, models were constructed using six different machine learning algorithms. Finally, the discrimination, calibration, and clinical applicability of each model were evaluated to determine the optimal model.…”
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Certainty of Linear Interrelation of Technical and Economic Parameters of Power Units of 300 МWt Thermal Power Stations by E. M. Farhadzadeh, A. Z. Muradaliyev, T. K. Rafiyeva, A. A. Rustamova

“…For 300 MWt gas-and-oil-burning power units which durability exceeds the estimated one, when comparing and ranking, it is necessary to take into account not only efficiency indicators (for example, the specific consumption of conventional fuel), but also indicators of reliability and safety. In practice, this is exactly what is being done. …”
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The effectiveness of complex therapy in the treatment of nonspecific vaginitis in women of reproductive age by O.D. Ryazanova, G.I. Reznichenko

“…The estradiol level in the main group probably increased 1.3 times (р<0,05). The magnesium level also increased by an average of 1.4 times (р<0,05). …”
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Sedimentary microfacies prediction based on multi-point geostatistics under the constraint of INPEFA curve by Xudong Wang, Zicheng Yang, Xibao Liu, Chengyuan Yuan

“…High-order compatibility algorithms constrained the simulations, with iterative human-computer interaction refining sedimentary microfacies models for three sand groups. …”
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Low-light image enhancement method based on retinex theory and dual-tree complex wavelet transform by Yuqian Zhang, Jie Jiang, Zhan Wang, Qi Zhang, Yudi Jiang, Jun Liu, Zeyao Hou

“…These issues not only impair human visual perception but also pose significant challenges for computer vision tasks. …”
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Markers of inflammation as risk predictors of lethal outcome in patients diagnosed with delirium by Stašević-Karličić Ivana, Stašević Milena, Janković Slobodan, Đukić-Dejanović Slavica, Milovanović Srđan

“…Aiming to better and more precise diagnostics of this complicated and still unclear neuropsychiatric syndrome it would be useful to consider introduction of more precise diagnostic algorithms in every unit of intensive care. That would significantly reduce the number of delirium diagnosis overlook, decrease complication of clinical features and would also reduce the unfavorable outcome rate, therefore the total cost of treatment.…”
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