Diagnosis and treatment of sepsis-induced cardiomyopathy using hemosorption therapy: a case report by S. V. Dil, V. V. Kirilin, N. M. Ivanov, V. V. Ryabov

“…Despite the wide prevalence and high mortality in SICM, this condition is not well described in the literature, and there are no clear diagnostic criteria and treatment algorithms. …”
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Advancements in digital twin technology and machine learning for energy systems: A comprehensive review of applications in smart grids, renewable energy, and electric vehicle optim... by Opy Das, Muhammad Hamza Zafar, Filippo Sanfilippo, Souman Rudra, Mohan Lal Kolhe

“…TThe integration of DT technology with Machine Learning (ML) algorithms is highlighted as a key factor in significantly enhancing the performance and capabilities of these advanced energy systems. …”
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Comprehensive analysis of total knee arthroplasty kinematics and functional recovery: Exploring full-body gait deviations in patients with knee osteoarthritis. by Xavier Gasparutto, Alice Bonnefoy-Mazure, Michael Attias, Katia Turcot, Stéphane Armand, Hermès H Miozzari

“…Patients were clustered by applying K-means algorithms on full-body kinematic features of gait before surgery. …”
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Enhancing Reliability in Redundant Homogeneous Sensor Arrays with Self-X and Multidimensional Mapping by Elena Gerken, Andreas König

“…This demonstrates the concrete benefit of sensor redundancy and DR algorithms for creating robust, fault-tolerant measurement systems.…”
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WoE Analysis and Key Risk Factors in Preclinical Development of Medicinal Products: A Review by G. N. Engalycheva, R. D. Syubaev

“…The WoE assessment algorithms and criteria described in this article may be implemented by preclinical study initiators, their research teams, and regulatory experts evaluating medicines.…”
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Impacts of differing melt regimes on satellite radar waveforms and elevation retrievals by A. C. Ronan, R. L. Hawley, J. W. Chipman, J. W. Chipman

“…The ULI retracked level 2 elevations at Raven Camp (and likely the entire percolation zone) have no clear elevation bias associated with significant melt events. …”
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CLINICAL PROFILES OF PATIENTS WITH MULTIFORM EXUDATIVE ERYTHEMA AND STEVENS-JOHNSON SYNDROME IN DENTAL PRACTICE by T.P. Skrypnykova, P.M. Skrypnykov, T.A. Khmil, O.A. Pysarenko, O.O. Kulai, Y.V. Tymoshenko, E.E. Berezhnaja

“…It is important for dentists to have a clear understanding of these diseases to provide appropriate care for patients. …”
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Electronic catalog as an object of quality assessment by G. A. Skaruk

“…At the research first stage the terminological analysis of the EC notion has been carried out, which reveals the absence of a universal clear definition that allows highlighting an electronic catalog in a series of other similar objects. …”
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ENDOCRINE PANCREATIC FUNCTION IN ACUTE PANCREATITIS by P. V. Novokhatny

“…However, there is still no clear understanding of the pathogenetic mechanisms of hormonal dysfunction of the pancreas in acute pancreatitis, there is no uniform algorithms for its correction. …”
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Apoptosis mapping in space and time of 3D tumor ecosystems reveals transmissibility of cytotoxic cancer death. by Irina Veith, Arianna Mencattini, Valentin Picant, Marco Serra, Marine Leclerc, Maria Colomba Comes, Fathia Mami-Chouaib, Jacques Camonis, Stéphanie Descroix, Hamasseh Shirvani, Fatima Mechta-Grigoriou, Gérard Zalcman, Maria Carla Parrini, Eugenio Martinelli

“…In this work, we develop and apply novel video analysis algorithms to automatically measure the cytotoxic effects on human cancer cells (lung and breast) induced either by doxorubicin chemotherapy drug or by autologous tumor-infiltrating cytotoxic T lymphocytes (CTL). …”
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Utilizing Machine Learning Techniques for Cancer Prediction and Classification based on Gene Expression Data by Mariwan Mahmood Hama Aziz, Sozan Abdullah Mahmood

“…Lately, several studies have delved into cancer classification by leveraging data mining techniques, machine learning algorithms, and statistical methods to thoroughly analyze high-dimensional datasets. …”
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Felling outturn assessment using Earth remote sensing data by A.V. Starovoytov, A.V. Fattakhov, E.A. Yachmeneva, M.M. Khamiev, D.A. Kisler, V.E. Kosarev, D.K. Nurgaliev

“…They proved to be useful in identifying trees and their classes within the forest sites subjected to clearing. Additionally, a special algorithm was proposed and applied to assess the felling outturn for each tree class taken separately.…”
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Developing Financial Forecast Modeling With Deep Learning On Silver/Ons Parity by Adem Üntez, Mümtaz İpek

“…However, as a feature of the LSTM algorithm, it clearly predicted the daily closing values, and did not specify an estimation as a range and direction as in the study with the ARIMA architec-ture. …”
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Delta-radiomics Entropy Based on Tumor Heterogeneity Concept – Response Predictor to Irradiation for Unresectable/recurrent Glioblastoma by Camil Ciprian MIRESTEAN, Roxana Irina IANCU, Dragos Teodor IANCU

“…Although adjuvant radiotherapy in combination with Temozolomide administration has clearly demonstrated the benefit in improving the prognosis of patients with multiforme glioblastoma, radiotherapy as only treatment or in combination with systemic treatment is one of the best supportive in unresectable cases. …”
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Evaluating accountability, transparency, and bias in AI-assisted healthcare decision- making: a qualitative study of healthcare professionals’ perspectives in the UK by Saoudi CE Nouis, Victoria Uren, Srushti Jariwala

“…These challenges become especially critical in domains such as pathology and blood sciences, where opaque AI algorithms and non-representative datasets can impact clinical outcomes. …”
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(Meta)verse as the next escaper from competition public enforcement by Luca Megale

“…Moving on, it is asserted as tacit collusion might be a crucial issue due to algorithms and blockchain. Metaverse might also be characterized by repeating concerns. …”
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Combined Use of Multiple Cloud‐Free Snow Cover Products in China and Its High‐Mountain Region: Implications From Snow Cover Identification to Snow Phenology Detection by Longhui Zhang, Hongbo Zhang, Xueyan Sun, Lun Luo

“…Our findings highlight the prime influence of retrieval algorithms under clear‐sky conditions on accuracy, surpassing the importance of cloud‐gap‐filling methods. …”
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Advances in Light Field Spatial Super-Resolution: A Comprehensive Literature Survey by Wenqi Lyu, Hao Sheng, Wei Ke, Xiao Ma

“…Integrating experimental results, we specifically analyze the performance of deep learning-based super-resolution algorithms at various magnification levels. Although these models have made significant progress at lower magnifications (e.g., <inline-formula> <tex-math notation="LaTeX">$2\times $ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$4\times $ </tex-math></inline-formula>), current methods exhibit clear limitations at higher magnifications (e.g., <inline-formula> <tex-math notation="LaTeX">$8\times $ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$16\times $ </tex-math></inline-formula>), particularly in maintaining structural integrity and disparity consistency. …”
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Environmental pollution monitoring system based on gas water quality sensors and visual recognition by Guolei Wang

“…Next, data processing algorithm is applied to analyze and process these data, and visualization technology is used to show the monitoring results. …”
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An Analysis of Image Classification Using Wavelet-Based Autoencoder Architecture and Extreme Learning Machine by Salwa Said, Salima Hassairi, Siwar Yahia, Ridha Ejbali, Mourad Zaied

“…To enable a comprehensive comparison, experiments were conducted using different datasets, specifically MNIST and COIL-20. The results clearly demonstrate that the Deep Stacked Wavelet AE (DSWAE) and DSSWAE algorithms outperform the State-of-the-Art (SOTA) techniques in terms of accuracy efficiency, emphasizing their significant potential for a wide range of image classification applications.…”
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