Sinonasal Sarcoidosis: A Scoping Review of Demographics, Clinical Presentation, and Outcomes by Ariana L. Shaari, Janvi J. Shukla, Aman M. Patel, Hannaan S. Choudhry, Sean Haimowitz, Jean Anderson Eloy

“…Most patients have symptomatic improvement with conservative management; however, a select subset of patients may respond well to surgical management. Further investigation into the workup, indications for surgical intervention, and treatment algorithm is warranted to reduce disease morbidity. …”
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A high-throughput ResNet CNN approach for automated grapevine leaf hair quantification by Nagarjun Malagol, Tanuj Rao, Anna Werner, Reinhard Töpfer, Ludger Hausmann

“…Moreover, leaf hairs as a favorable habitat may considerably affect the abundance of biological control agents. …”
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A refined SMR-DeepLabV3+ model for cultivated land extraction from cross-view imagery using an attention mechanism by Zheng Fang, Yuhang Gong, Heli Zhu, Canyang Shi, Zhijia Gong, Lin Tian

“…This paper introduces a new algorithm, SMR-DeepLabV3+, which integrates an attention mechanism into the DeepLabV3+ model, along with regularization enhancements. …”
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An explainable and supervised machine learning model for prediction of red blood cell transfusion in patients during hip fracture surgery by Yongchang Zhou, Suo Wang, Zhikun Wu, Weixing Chen, Dong Yang, Chaojin Chen, Gaofeng Zhao, Qingxiong Hong

“…Abstract Aim The study aimed to develop a predictive model with machine learning (ML) algorithm, to predict and manage the need for red blood cell (RBC) transfusion during hip fracture surgery. …”
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An Adaptive Weight Physics-Informed Neural Network for Vortex-Induced Vibration Problems by Ping Zhu, Zhonglin Liu, Ziqing Xu, Junxue Lv

“…Nevertheless, PINN loss functions often include multiple loss terms, which may interact with each other, causing imbalanced training speeds and a potentially inferior overall performance. …”
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FedEmerge: An Entropy-Guided Federated Learning Method for Sensor Networks and Edge Intelligence by Koffka Khan

“…These limitations are especially pronounced in sensor networks and IoT environments, where clients may hold sparse, unbalanced, or single-modality data. …”
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Feasibility of proton dosimetry overriding planning CT with daily CBCT elaborated through generative artificial intelligence tools by Matteo Rossi, Gabriele Belotti, Luca Mainardi, Guido Baroni, Pietro Cerveri

“…Monte Carlo simulation is used to generate CBCT scans, enabling the possibility to focus solely on the algorithm’s ability to reduce artifacts and cupping effects without considering intra-patient longitudinal variability and producing a fair comparison between planning CT (pCT) and calibrated CBCT dosimetry. …”
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An automated hip fracture detection, classification system on pelvic radiographs and comparison with 35 clinicians by Abdurrahim Yilmaz, Kadir Gem, Mucahit Kalebasi, Rahmetullah Varol, Zuhtu Oner Gencoglan, Yegor Samoylenko, Hakan Koray Tosyali, Guvenir Okcu, Huseyin Uvet

“…Integrating such systems into clinical practices may enhance the diagnostic efficiency of PXRs.…”
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Do more with less: Exploring semi-supervised learning for geological image classification by Hisham I. Mamode, Gary J. Hampson, Cédric M. John

“…But an alternative exists: there often is a large corpus of unlabeled data which may enhance the learning process. To evaluate this potential for subsurface data, we compare a high-performance semi-supervised learning (SSL) algorithm (SimCLRv2) with supervised transfer learning on a Convolutional Neural Network (CNN) in geological image classification.We tested the two approaches on a classification task of sediment disturbance from cores of International Ocean Drilling Program (IODP) Expeditions 383 and 385. …”
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Robustness of atmospheric trace gas retrievals obtained from low-spectral-resolution Fourier transform infrared absorption spectra under variations of interferogram length by B. Langerock, M. De Mazière, F. Desmet, P. Heikkinen, R. Kivi, M. Kumar Sha, C. Vigouroux, M. Zhou, G. K. Darbha, M. Talib

“…This sensitivity of the retrieval algorithm to the length of the underlying low-resolution interferogram can be reduced by applying a nontrivial apodization such as Norton–Beer apodization. …”
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Сardiac index and stroke volume variation estimated by the pulse wave transit time analysis in comparison with variables derived by pulse contour analysis after coronary revascula... by D. A. Volkov, E. V. Fot, A. A. Smetkin, T. N. Semenkova, K. V. Paromov, V. V. Kuzkov, M. Yu. Kirov

“…Further development of this  monitoring algorithm may be required for more correct measurement of cardiac output and fluid responsiveness…”
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Logistic regression model for predicting failure of dual antihypertensive therapy: a prospective comparative non-randomized clinical trial by T. O. Okorokova, O. N. Kryuchkova

“…The developed prognostic model may be applied when managing hypertension.…”
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SVD-Based Feature Reconstruction Metric Network With Active Contrast Loss for Few-Shot SAR Target Recognition by Jia Zheng, Ming Li, Xiang Li, Peng Zhang, Yan Wu

“…Experimental results demonstrate that our proposed algorithm can achieve comparable metric performance compared to other metric-based few-shot learning methods.…”
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Variants of active assist robotic therapy: feasibility of virtual assistance and proprioceptive training as gauged by their effects on success and motivation during finger movement... by Andria J. Farrens, Dylan Reinsdorf, Luis Garcia-Fernandez, Raymond Diaz Rojas, Vicky Chan, Joel Perry, Eric T. Wolbrecht, David J. Reinkensmeyer

“…This approach aims to retrain proprioception but may also be too challenging for individuals with proprioceptive impairment to find it motivating. …”
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Concerning the Use of Indicators’ Marginal (Threshold) Values of the Russian Federation Economic Security by A. B. Vissarionov, R. R. Gumerov

“…The Strategy of the Russian Federation Economic Security for the Period until 2030, approved by the Russian Federation President Decree of May 13, 2017 No. 208, is aimed at solving these tasks. …”
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Machine learning-based monitoring of land cover and reclamation plantations on coal-mined landscape using Sentinel 2 data by Mayank Pandey, Alka Mishra, Singam L. Swamy, James T. Anderson, Tarun Kumar Thakur

“…The recovery rates of soil nutrients under plantations of these sites have surpassed halfway and may take a decade or two to reach levels equivalent to those of natural forests. …”
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Vegetation browning as an indicator of drought impact and ecosystem resilience by Ignacio Fuentes, Javier Lopatin, Mauricio Galleguillos, James McPhee

“…Climate change influences climate variability, increasing the frequency and severity of droughts. These events may trigger vegetation browning, a key indicator of drought propagation and shifts in resilience. …”
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How to personalise cognitive–behavioural therapy for chronic primary pain using network analysis: study protocol for a single-case experimental design with multiple baselines by Julia Anna Glombiewski, Verena Eunike Hofmann, Felicitas Kininger, Saskia Scholten

“…This proof-of-concept study may guide future studies aiming at personalisation of CBT for CPP as it outlines methodological decisions that need to be considered step by step. …”
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Design in Modern Information Systems by Applying Cloud Technologies by Tigariev V., Lopakov O., Rybak O., Kosmachevskiy V., Cioată V. G.

“…In this study, the general algorithm and technology of design in advanced computer-aided design (CAD) software of the CAD-in-the-Cloud type using an information model (IM) was discussed in detail. …”
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The role of mitochondria-related genes and immune infiltration in carotid atherosclerosis: identification of hub targets through bioinformatics and machine learning approaches by Dan Liu, Kun Guo, Min Li, Xiaochen Yu, Xue Guan, Xiuru Guan

“…Immune profiling based on the CIBERSORT algorithm revealed significantly increased infiltration of activated mast cells, monocytes, memory B cells, T follicular helper cells, and M0 macrophages in the immune microenvironment of AS. …”
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