Comparative study of modified midline lumbar interbody fusion and modified transforaminal lumbar interbody fusion for the treatment of single-level lumbar degenerative diseases by Yuanpeng Yue, Yihui Liu, Ce Dong, Zhenyu Wang

“…In the M-MIDLIF group, there was no significant difference in the radiographic recognizable rate (91.07%) or intraoperative visual recognizable rate (87.50%) of internal inverted chevron-shaped (V-shaped) crests. The optimal position screw rates for the MCBT, TASS, and traditional pedicle screw (TPS) methods were 94.64%, 94.64%, and 87.5%, respectively, and the differences were not significant. …”
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Assessment of the influence of the mineral complex of rutin on the degree of expression of anti-diabetic activity by V. I. Toporkova, E. V. Vishnyakov, K. O. Sidorov, I. I. Terninko, D. Yu. Ivkin

“…The optimal ratio of components 1 : 1 for the formation of a mineral complex was established by us earlier experimentally using the Job's method. …”
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Au-Ag Bimetallic Nanoparticles for Surface-Enhanced Raman Scattering (SERS) Detection of Food Contaminants: A Review by Pengpeng Yu, Chaoping Shen, Xifeng Yin, Junhui Cheng, Chao Liu, Ziting Yu

“…Food contaminants, including harmful microbes, pesticide residues, heavy metals and illegal additives, pose significant public health risks. While traditional detection methods are effective, they are often slow and require complex equipment, which limits their application in real-time monitoring and rapid response. …”
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An Adapter and Segmentation Network-Based Approach for Automated Atmospheric Front Detection by Xinya Ding, Xuan Peng, Yanguang Xue, Liang Zhang, Tianying Wang, Yunpeng Zhang

“…This study presents AD-MRCNN, an advanced deep learning framework for automated atmospheric front detection that addresses two critical limitations in existing methods. First, current approaches directly input raw meteorological data without optimizing feature compatibility, potentially hindering model performance. …”
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Interferometric techniques for virtual histology and staining: principles, techniques, and applications in biomedical imaging by Mohammadhossein Salimi, Bahman Vahidi

“…OCT and its extensions provide structural and functional insights, while QPI and PSI enable quantification of tissue morphology and refractive properties. …”
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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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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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What are the Necessary Psychological Well-being Conditions for Women Entrepreneurs to Feel Effective? by Sayonara de Fátima Teston, Patrick Zawadzki, Hilka Pelizza Vier Machado, Carla Fabiana Cazella

“…Environmental mastery (50%) and purpose in life (63.6%) also serve as facilitators, while self-acceptance (37.5%) functions as an optimizer for defining the main business objective. …”
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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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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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Aging-associated fermentation of palm oil-mill effluent enhances its organo-fertilizer value and the desired agronomic effects in low-fertility soils by Daniel Onyedikachi Ugwu, Parker Elijah Joshua, Sunday Ewele Obalum, Ndeari King Dedan, Obi Uzoma Njoku

“…In this study, the prospects of temporal fermentation of POME with aging in enhancing its organo-fertilizer value before application to low-fertility soils were evaluated. Method: Fresh and aged (6-12 months old) POME method were used to grow tomatoes at 0, 25, 50, 75 and 100% in potted soils from a fallow land. …”
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Role of positron emission tomography in predicting early tumor response to neoadjuvant chemotherapy for breast cancer by N. G. Chanchikova, E. A. Karlova, A. S. Savelyeva, O. A. Silkina, V. I. Chernov, R. V. Zelchan, O. D. Bragina, A. A. Medvedeva

“…Positron emission tomography/computed tomography (PET/СT) with fluorodeoxyglucose labeled with 18F (18F-FDG) is widely used as an effective method of metabolic tumor imaging at the stages of treatment. …”
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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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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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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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