THE THYMIDINE KINASE-1(TK-1) AS A POTENTIAL TUMOR MARKER: SERUM LEVELS IN SERUM OF PATIENTS WITH SOLID AND SYSTEM MALIGNANCE NEOPLASMS by N. S. Sergeeva, N. K. Parilova, N. V. Marshutina, N. G. Tyurina, A. G. Mustafin

“…When solid MN shown that the activity of TK-1 accurately reflects the proliferative status of tumor.A comparison of the dynamics of TC-1 in the process of chemotherapy and its clinical efficacy, different authors have received fundamentally different results: in some cases the marker reduction was associated with treatment efficacy, and in part of publications they show that the clinically relevant effects of the treatment observed increase in the marker after the first chemotherapy.The entire set of received data demonstrates the relevance of the further development of the algorithm use of TK-1 in oncology practice.…”
Get full text

A high-precision 1 × 15 infrared temperature measurement linear array based on thermopile sensors by Jindong Bai, Wenhang Yang, Shouzheng Zhu, Haijun Jin, Yuchen Zhang, Ke Jin, Xiaoshuai Liu, Chunlai Li, Jianyu Wang, Hongxing Qi, Shijie Liu

“…On the FPGA control board, a multiparameter temperature compensation algorithm is used to address intrinsic temperature differences and consistency errors among the sensors. …”
Get full text

Reactivaion of immune-related colitis during targeted therapy in a patient with metastatic cutaneous melanoma by E. A. Degtiareva, S. A. Protsenko, E. N. Imyanitov, G. M. Teletaeva, D. Kh. Latipova, A. I. Semenova, A. V. Novik

“…When changing the anticancer treatment regimen, the recurrence of irAEs dictates careful monitoring of toxicity and the importance of timely selection of the optimal treatment algorithm to improve the quality and longevity of cancer patients.…”
Get full text

Biodegradation of CAHs and BTEX in groundwater at a multi-polluted pesticide site undergoing natural attenuation: Insights from identifying key bioindicators using machine learning... by Feiyang Xia, Tingting Fan, Mengjie Wang, Lu Yang, Da Ding, Jing Wei, Yan Zhou, Dengdeng Jiang, Shaopo Deng

“…Advanced machine learning (ML) algorithms help identify key microbial indicators for different pollution types (CAHs, BTEX plumes, and mixed plumes). …”
Get full text

Assessing reading fluency in elementary grades: A machine learning approach by Gabriel Candido da Silva, Rodrigo Lins Rodrigues, Américo N. Amorim, Lieny Jeon, Emilia X.S. Albuquerque, Vanessa C. Silva, Vinícius F. da Silva, André L.A. Pinheiro, João P.J.R. Nunes, Suzana X.M.G. de Souza, Maxsuel S. Silva, Igor Mauro, Alexandre Magno Andrade Maciel

“…The research objective was to determine which algorithm best predicts fluency, considering diverse evaluation setups including binary classification (fluent versus non-fluent), multiclass classification (differentiated fluency levels), and regression analysis to estimate continuous fluency scores. …”
Get full text

Long-term investigation of 3D tissue detailed structure and multiparametric vascular network properties using OCT/OCTA for guiding atopic dermatitis theranostics by Fengxian Du, Huiling Wu, Junwei Xue, Shenglan Yao, Ronghui Li, Jinde Zhang, Haitao Wang, Qi Cheng, Fan Zhao, Ying Huang, Zijian Zhou, Feng Liang, Xiufei Gu, Valery V. Tuchin, Qingliang Zhao

“…Conclusion Overall, the full-cycle dynamic changes in skin thickness and depth-resolved vascular alterations during the progression of dermatitis can be effectively predicted using OCT/OCTA, which can inform more targeted AD diagnosis and treatment strategies. …”
Get full text

Proximity-based solutions for optimizing autism spectrum disorder treatment: integrating clinical and process data for personalized care by Annarita Vignapiano, Annarita Vignapiano, Francesco Monaco, Francesco Monaco, Stefania Landi, Luca Steardo, Carlo Mancuso, Claudio Pagano, Gianvito Petrillo, Alessandra Marenna, Martina Piacente, Stefano Leo, Carminia Marina Ingenito, Rossella Bonifacio, Benedetta Di Gruttola, Marco Solmi, Marco Solmi, Marco Solmi, Marco Solmi, Maria Pontillo, Giorgio Di Lorenzo, Giorgio Di Lorenzo, Alessio Fasano, Alessio Fasano, Alessio Fasano, Giulio Corrivetti, Giulio Corrivetti

“…A central data hub, the Master Data Plan (MDP), will aggregate and analyze information from diverse sources, feeding AI algorithms that can identify risk factors for ASD, personalize treatment plans based on individual needs, and even predict potential relapses. …”
Get full text

Habitat analysis of iron deposition in the basal ganglia for diagnosing cognitive impairment in chronic kidney disease: evidence from a case-control study by Hao Wang, Yu Qi, Xu Liu, Li-Jun Song, Wen-Bo Yang, Ming-An Li, Xiao-Yan Bai, Mao-Sheng Xu, Hao-Nan Zhu, Si-Qing Cai, Yi Wang, Zheng-Han Yang, Yuan-Zhe Li, Zhen-Chang Wang, Yi-Fan Guo

“…The two habitats-based model achieved an area under the curve of 0.926 (95% CI 0.842-1.000) on the test set, the highest among all prediction models. The two-habitat maps indicated that chronic kidney disease had two distinct patterns of impact on iron deposition in the basal ganglia region. …”
Get full text

Inhibition of transcription by dactinomycin reveals a new characteristic of immunogenic cell stress by Juliette Humeau, Allan Sauvat, Giulia Cerrato, Wei Xie, Friedemann Loos, Francesca Iannantuoni, Lucillia Bezu, Sarah Lévesque, Juliette Paillet, Jonathan Pol, Marion Leduc, Laurence Zitvogel, Hugues de Thé, Oliver Kepp, Guido Kroemer

“…Certain chemotherapeutics from the oncological armamentarium are able to trigger pre‐mortem stress signals that lead to immunogenic cell death (ICD), thus inducing an antitumor immune response and mediating long‐term tumor growth reduction. Here, we used an established model, built on artificial intelligence to identify, among a library of 50,000 compounds, anticancer agents that, based on their molecular descriptors, were predicted to induce ICD. …”
Get full text

An NSCT-Based Multifrequency GPR Data-Fusion Method for Concealed Damage Detection by Junfang Wang, Xiangxiong Li, Huike Zeng, Jianfu Lin, Shiming Xue, Jing Wang, Yanfeng Zhou

Get full text

Single-Shot Wavefront Sensing in Focal Plane Imaging Using Transformer Networks by Hangning Kou, Jingliang Gu, Jiang You, Min Wan, Zixun Ye, Zhengjiao Xiang, Xian Yue

“…Traditional wavefront reconstruction methods, including the Gerchberg–Saxton (GS) algorithm and phase diversity (PD) techniques, are often limited by issues such as low inversion accuracy, slow convergence, and the presence of multiple possible solutions. …”
Get full text

Robust outdoor trajectory mapping using CNN features and loop closure optimization by Kamran Kazi, Arbab Nighat Kalhoro, Farida Memon, Tarique Rafique Memon, Azam Rafique Memon

“…To counteract accumulated drift, a hybrid optimization strategy is proposed: Bag of Words (BoW)-based loop closure detection identifies revisit locations, while an algorithm is developed to optimize the map. Experimental validation on the KITTI dataset demonstrates a significant reduction in offset error compared to state-of-the-art methods like DeepVO and TartanAir.…”
Get full text

Stress-Responsive Spatial Voronoi Optimization for Lightweight Architectural Shell Structures by Haining Zhou, Xinyu Shi, Da Wan, Weijiu Cui, Kang Bi, Wenxuan Zhao, Rong Jiao, Hiroatsu Fukuda

“…Finite Element Analysis (FEA) demonstrates that the optimized Voronoi-driven GPS achieves notable improvements, revealing up to 79.7% material volume reduction and significant improvement in structural efficiency, achieving a stiffness-to-weight ratio (SWR) exceeding 2200 in optimized configurations. …”
Get full text

Coordinated Optimization Method for Distributed Energy Storage and Dynamic Reconfiguration to Enhance the Economy and Reliability of Distribution Network by Caihong Zhao, Qing Duan, Junda Lu, Haoqing Wang, Guanglin Sha, Jiaoxin Jia, Qi Zhou

“…First, a scenario-generation method is developed based on Latin hypercube sampling and Kantorovich distance synchronous back-substitution reduction is used to obtain the typical scenario of wind and solar output. …”
Get full text

Open-Circuit Fault Diagnosis Method of Energy Storage Converter Based on MFCC Feature Set by Bin YU, Xingrong SONG, Ting ZHOU, Linbo LUO, Hui LI, Liang CHE

“…Then, through kernel principal component analysis (KPCA), the dimension reduction screening of nonlinear fault features under charge and discharge conditions is realized. …”
Get full text

Unsupervised detection of high-frequency oscillations in intracranial electroencephalogram: promoting a valuable automated diagnostic tool for epilepsy by Wenjing Chen, Tongzhou Kang, Md Belal Bin Heyat, Jamal E. Fatima, Yuanning Xu, Dakun Lai

“…The CVAE model is trained for dimensionality reduction and feature reconstruction, followed by clustering of the reconstructed maps using the K-means algorithm for automated HFOs detection.ResultsEvaluation of the proposed unsupervised method on clinical iEEG data demonstrates its superior performance compared to traditional supervised models. …”
Get full text

Recurrent Neural-Based Vehicle Demand Forecasting and Relocation Optimization for Car-Sharing System: A Real Use Case in Thailand by Peerapon Vateekul, Panyawut Sri-iesaranusorn, Pawit Aiemvaravutigul, Adsadawut Chanakitkarnchok, Kultida Rojviboonchai

“…It achieved a 3% opportunity loss reduction and 3% less relocation trips, reducing human effort by 17 man-hours/week.…”
Get full text

Early Detection of Surface Mildew in Maize Kernels Using Machine Vision Coupled with Improved YOLOv5 Deep Learning Model by Yu Xia, Ao Shen, Tianci Che, Wenbo Liu, Jie Kang, Wei Tang

“…This resulted in a notable reduction in the model parameters and calculation amount while simultaneously enhancing model precision. …”
Get full text

Battery Sizing Method for Microgrids—A Colombian Application Case by Andres Felipe Zamora-Muñoz, Martha Lucia Orozco-Gutierrez, Dany Mauricio Lopez-Santiago, Jhoan Alejandro Montenegro-Oviedo, Carlos Andres Ramos-Paja

“…Mixed integer linear programming (MILP) is used as optimization algorithm to size BESS, which is applied to an isolated community in Colombia located at Isla Múcura. …”
Get full text

Enhanced Defect Detection in Additive Manufacturing via Virtual Polarization Filtering and Deep Learning Optimization by Xu Su, Xing Peng, Xingyu Zhou, Hongbing Cao, Chong Shan, Shiqing Li, Shuo Qiao, Feng Shi

“…Experiments show a 40.3% reduction in loss, a 10.8% improvement in precision, a 10.3% improvement in recall, and a 13.7% improvement in mAP compared to the original YOLO V5 model. …”
Get full text