Rationalization of diagnostic examination periods for metalwork elements of subway escalators by V. N. Dyatlov, D. P. Kononov

“…Petersburg Metro” in the amount of 218 pieces in the period from 2005 to 2019 were used, design documentation, statistical methods and mathematical modeling methods were used.   …”
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Flushing peripheral intravenous catheters: A scoping review. by Jiaxin Deng, Orlaith Hernon, Caitríona Duggan, Leo R Quinlan, Zina Alfahl, Peter J Carr

“…<h4>Methods</h4>Following JBI scoping review methodology, a comprehensive search was conducted across PubMed, Embase, Scopus, CINAHL, and grey literature sources. …”
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Comparative Evaluation of 5-<i>n</i>-Alkylresorcinol Extraction Conditions from Wheat Bran via Metabolite Profiling: Implications for Antiproliferative Activity by Ronald Marentes-Culma, Ericsson Coy-Barrera

“…Sparse partial least squares discriminant analysis (sPLS-DA) determined the discrimination of the different extraction methods, while variable importance scores revealed that AR homologs such as C₂₅, C_19:1, and C_23:Oxo were key to the distinguishment of the extraction methods. …”
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Entrepreneurial Skill Augmented Neural Network (ESANN): A Deep Learning Approach for Enhancing Entrepreneurial Competencies in Teachers by Jian Li

“…Abstract Modern education requires teachers to develop entrepreneurial competencies because traditional training practices fail to provide individualized training methods. The developments in deep learning provide educational institutions with new data-based methods to develop professional development training programs. …”
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Modulating neuroplasticity for chronic pain relief: noninvasive neuromodulation as a promising approach by Nishani Jayanika Jayathilake, Tien Thuy Phan, Jeongsook Kim, Kyu Pil Lee, Joo Min Park

“…In light of these challenges, interest in noninvasive neuromodulation techniques as alternatives or complementary treatments for neuropathic pain is increasing. These methods aim to induce analgesia while reversing maladaptive plastic changes, offering potential advantages over conventional pharmacological practices and invasive methods. …”
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SBCS-Net: Sparse Bayesian and Deep Learning Framework for Compressed Sensing in Sensor Networks by Xianwei Gao, Xiang Yao, Bi Chen, Honghao Zhang

“…The core of SBCS-Net is to optimize key SBL parameters through end-to-end learning. …”
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Predictive modeling of Cbr and compressibility in lime stabilized lateritic soil using machine learning and Pchip data augmentation by Hyginus Obinna Ozioko, Emmanuel Ebube Eze

“…This framework offers a rapid, cost-effective method for field decision-making, confirming 10% lime as the optimal content for static load applications in variable natural lateritic soils.…”
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Modelado de propiedades mecánicas de mezclas asfálticas espumadas recicladas mediante regresión no lineal y redes neuronales artificiales y clasificación de diferentes diseños util... by Mehrdad Mirshekarian Babaki, Ali Pirhadi Tavandashti

“…The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method was then usedto select the optimal combination of materials. …”
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Enhanced socially oriented mission-based driving cycles generation and simulation framework for light electric vehicles by Petr Hajduk, Mikaela Ranta, Mehrnaz Farzam Far, Jenni Pippuri-Mäkeläinen, Joel Anttila, Mario Vukotić, Damijan Miljavec

“…Abstract Standard driving cycles are commonly used to assess vehicle performance and to design and optimize vehicle powertrains. However, these standard driving cycles lack some details, especially regarding slopes, curves, traffic variability, or weather conditions. …”
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Relationship of fat mass index and fat free mass index with body mass index and association with sleeping patterns and physical activity in Saudi young adults women by Alaa A. AlMasud, Shaima A. Alothman, Nada Benajiba, Seham Alqahtani, Afnan A. Alatr, Anfal A. Alshatowy, Ghadah E. Alenezy, Ghaida M. Alshahrani, Laylas A. Alhussain, Noha I. Alnashwan, Norah A. Alshimali, Nourah A. Alneghamshi, Nashmia M. Aljasser, Mashael A. Huwaikem

“…Sleep quality and duration were assessed using the Pittsburgh Sleep Quality Index, while physical activity was measured using an exercise vital sign tool. …”
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Inverse Kinematics for Robotic Manipulators via Deep Neural Networks: Experiments and Results by Ana Calzada-Garcia, Juan G. Victores, Francisco J. Naranjo-Campos, Carlos Balaguer

“…The performance of these models is compared, with a focus on curriculum learning to optimize training. The results demonstrate the potential of DNNs to efficiently solve the IK problem while avoiding issues such as singularities, competing with traditional methods in precision and speed.…”
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Platelet transfusion response in critically ill patients with thrombocytopenia: a retrospective study and predictive nomogram in a general ICU population by Hanyu Ge, Yanqing Liu, Tongyu Li, Rui Lv, Jieyi Wang, Wei You, Danni Song, Shilin Hu, Feng Zhao, Heng Fan, Dingfeng Lv

“…The established nomogram demonstrated strong predictive accuracy and may provide a practical tool for optimizing PT practices in the ICU.…”
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Mixed (combined) phenotype of the late stage of age-related macular degeneration by N. V. Neroeva, V. V. Neroev, M. V. Ryabina, A. G. Karmokova, O. A. Losanova

“…With multimodal visualization of the chorioretinal complex structures using modern research methods, it was possible to isolatea mixed, or combined, phenotype of the late stage of age-related macular degeneration (AMD). …”
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Comparative Study of Person Re-Identification Techniques Based on Deep Learning Models by Mossaab Idrissi Alami, Abderrahmane Ez-zahout, Fouzia Omary

“…Traditional distance-based methods, such as Euclidean and Cosine, struggle with challenges like posture variations and occlusions, limiting their effectiveness. …”
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Data aggregation impacts on built environment-mode share models around public transit stations by Seyed Sajjad Abdollahpour, Huyen T. K. Le, Ralph Buehler, Steve Hankey

“…Models using network buffers are less affected by data aggregation compared to those using circular buffers, Thiessen polygons, or administrative boundaries (block groups). In addition, the optimal buffer sizes for capturing BE effects and minimizing sensitivity to data aggregation for active and public transit modes are 800 meters for BRT stations and 1000 meters for rail stations, while 1200 meters is effective for private vehicle mode share at both rail and BRT stations. …”
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Road damage detection based on improved YOLO algorithm by Luyao Ma, Ming Chen

“…The dual-branch attention mechanisms enhance feature representation in channel and spatial dimensions, while the GIoU loss optimizes bounding box regression—yielding notable improvements, particularly in small object detection and bounding box localization accuracy. …”
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Machine Learning Approaches for Fault Detection in Internal Combustion Engines: A Review and Experimental Investigation by A. Srinivaas, N. R. Sakthivel, Binoy B. Nair

“…Fault diagnostics in internal combustion engines (ICEs) is vital for optimal operation and avoiding costly breakdowns. …”
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Comparative Evaluation of the Efficacy and Safety of Primary Trabeculectomy and Drug Therapy in Patients with Advanced Open-angle Glaucoma by S. U. Kasumov, G. Z. Abdulkadyrov, G. L. Gulmagomedova

“…The aim of the study was to evaluate the effectiveness and safety of primary trabeculectomy in comparison with drug therapy in patients with advanced open-angle glaucoma in order to determine the optimal approach to reducing intraocular pressure and maintaining the quality of life of patients.Materials and methods. …”
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Geostatistics and Artificial Intelligence Applications for Spatial Evaluation of Bearing Capacity after Dynamic Compaction by Rodney Ewusi-Wilson, Junghee Park, Boyoung Yoon, Changho Lee

“…The model with the least MAE and RMSE and the highest r2 is selected as optimal. The optimal RF (RFVD) model has an RMSE of 15.83 while out of the two geostatistical models considered OK recorded the lower RMSE of 22.62. …”
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Experiences in Activities and Psychological Resources of Students by Y.V. Trofimova, E.I. Marina

“…The <strong>results</strong> showed that the components of optimal experience (pleasure, sense) are positively associated with compassionate attitude towards oneself and self-control, while the experience of emptiness in activity is associated with emotional burnout and negative attitude towards oneself, especially in a situation of failure. …”
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