Enhancing precision in sarcoma diagnosis: nCounter fusion panel implementation in a middle-income country by Flávia Escremim de Paula, Murilo Bonatelli, Monise Tadin dos Reis, Karla Emília de Sá Rodrigues, Léon C. van Kempen, Gustavo Ramos Teixeira, Rui Manuel Reis

“…Background: Sarcoma diagnosis is challenging due to numerous subtypes with similar histopathological features and the high cost of fusion detection methods, particularly in middle-income countries. …”
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THE PROBLEM OF RECURRENCE OF SARCOIDOSIS IN THE PRACTICE OF OUTPATIENT PHYSICIAN by A. Yu. Chernikov, L. G. Zemlyanskych

“…The aim: generalize the  experience of detection  and treatment of recurrence  of sarcoidosis in outpatient practice. …”
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A Novel Sparse Enhancement Neural Network for Rolling Bearing Fault Diagnosis by Yong Zhang, Junjie Ye, Wenhu Yang, Jinwang Shi, Wangpeng He, Gaigai Cai

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DeepGray: Malware Classification Using Grayscale Images with Deep Learning by Haodi Jiang, Harshitha Polsani, Yuexin Liu

“…Subsequently, Principal Component Analysis (PCA) is applied to distill the most significant features. …”
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Analisis Algoritma Klasifikasi Untuk Mengidentifikasi Potensi Risiko Kesehatan Ibu Hamil by Jajang Jaya Purnama, Nina Kurnia Hikmawati, Sri Rahayu

“… The health of pregnant women has an important aspect in efforts to achieve the birth of a healthy baby. So early detection of the health of pregnant women has important. …”
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Ways of Concealment for Iatrogenic Crimes, Traces of Their Commission and Forensic Methods of Their Identification by M. V. Tuzlukova

“…The article discusses specific features of the ways of concealing iatrogenic crimes and traces indicating them. …”
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Modern aspects of generalized periodontitis treatment in patients with a somatic pathology by T. I. Рupin, O. M. Nemesh, Z. M Honta, I. V. Shylivskyi, K. A. Moroz, O. I. Bumbar

“…The purpose of the work – the analysis of specialized scientific literature for the study and generalization of data on modern views on the treatment of generalized periodontitis in persons with severe general somatic diseases. …”
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Railway safety monitoring algorithm based on distributed optical fiber vibration sensor by Fuyang CHEN, Bin JIANG, Yu SHA

“…Aiming at the monitoring problem of the human climbing behaviour existing along the railway,a railway safety detection algorithm based on distributed optical fiber vibration sensors was proposed by combining the distributed optical fiber sensing technology and signal analysis technology.The surrounding vibration was sensed and transmitted through the optical cables laid along the fence network of the railway,and then the Internet of things (IoT) connection between the railway and monitoring algorithm was built to realize the intelligent monitoring of the climbing behavior.In view of the complicated surrounding environment of the railway and more interference,the Hamming window and wavelet threshold denoising method were used to filter the signal of each frame to improve the signal-to-noise ratio of the vibration signal.In the selection of features,the power spectrum and short-time over-level rate of the signal were extracted from the time domain and frequency domain respectively as a joint feature to determine whether there was climbing or creeping behavior.Since that the climbing behavior was spatially continuous,the minimum alarm range was set to filter out alarms with a too small range,which improved the accuracy of the monitoring system.…”
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Bridge Deformation Monitoring Combining 3D Laser Scanning with Multi-Scale Algorithms by Dongmei Tan, Wenjie Li, Yu Tao, Baifeng Ji

“…This approach employs the M3C2 algorithm for qualitative full-field deformation detection and utilizes least-squares plane fitting for quantitative feature extraction. …”
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Method for recognizing abnormal operation patterns in hydraulic support machine-following and shifting control by MA Zhitao, FU Xiang, LI Haojie, NIU Penghao, JIA Yifan

“…A decision tree model was employed to detect stroke anomaly patterns. Six key features were extracted: start and end time of the shifting action, maximum and minimum values of the current support's stroke, and the stroke differences between the current support and its neighboring supports. …”
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Thermal Runaway Warning of Lithium Battery Based on Electronic Nose and Machine Learning Algorithms by Zilong Pu, Miaomiao Yang, Mingzhi Jiao, Duan Zhao, Yu Huo, Zhi Wang

“…Characteristic gas detection can be an efficient way to predict the degree of thermal runaway of a lithium battery. …”
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Clinical and radiological characteristics of the course of the newly diagnosed tuberculosis spondylitis in adults and the effectiveness of the main course of antimycobacterial ther... by О. М. Raznatovska, V. V. Bezdenezhnyi, V. I. Mozolyuk

“…Study objective – set the frequency of detection of the newly diagnosed tuberculous spondylitis, the features of clinical and radiological manifestations of it and the effectiveness of the main course of antimycobacterial therapy. …”
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Enhancing neurocognitive rehabilitation with smart cubes: Design, technology, and programmable games by Jaroslav Vondrak, Vladimir Kasik, Jan Grepl, Terezie Kuboskova, Martin Augustynek, Jan Kubicek, Tereza Benešová, Petr Nilius

“…A series of technical validation experiments were conducted, including detection accuracy under varying optical filter conditions, power consumption analysis, and mechanical durability testing in accordance with IEC 60,601–1. …”
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A machine-learning-based approach for active monitoring of blade pitch misalignment in wind turbines by S. Milani, J. Leoni, S. Cacciola, A. Croce, M. Tanelli

“…Additionally, regression analysis proves the capability of the framework to detect misalignments as low as 0.1° with a root mean square error of 5.48 %. …”
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Modeling of a Novel T-Core Sensor with an Air Gap for Applications in Eddy Current Nondestructive Evaluation by Siquan Zhang

“…Compared to the finite element method (FEM), analytical approaches offer advantages, such as faster computation and high accuracy, enabling a comprehensive analysis of how sensor and material parameters influence defect detection outcomes. …”
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A Machine-Learning-Based Data Science Framework for Effectively and Efficiently Processing, Managing, and Visualizing Big Sequential Data by Alfredo Cuzzocrea, Islam Belmerabet, Abderraouf Hafsaoui, Carson K. Leung

“…For example, people gain a better understanding of disease by analyzing and mining disease statistics, which can inspire them to participate in disease prevention, detection, control, and combat. Visual representation further improves data understanding and corresponding results for analysis and mining, as a picture is worth a thousand words. …”
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Low-coverage whole genome sequencing of cell-free DNA to predict and track immunotherapy response in advanced non-small cell lung cancer by Florian Janke, Mateo Gasser, Arlou K. Angeles, Anja L. Riediger, Magdalena Görtz, Louise Appenheimer, Astrid K. Laut, Simon Ogrodnik, Sabrina Gerhardt, Albrecht Stenzinger, Marc A. Schneider, Michael Thomas, Petros Christopoulos, Holger Sültmann

“…Findings Fragmentation features and CNVs were complementary indicators, whose combination significantly increased ctDNA detection compared to single-marker assessments (+ 20.3% compared to CNV analysis alone). …”
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The co-occurrence of tet(X4) and tmexCD2-toprJ2 mediated tigecycline resistance in Raoultella ornithinolytica by Weishuai Zhai, Lu Liu, Jijun Kang, Mengjin Xiao, Yiqing Wang, Yao Wang, Yingbo Shen, Congming Wu, Jianzhong Shen, Yang Wang, Dejun Liu

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BLACKMAIL AS A METHOD OF EXTORTION by KHOMUTOVA RUSLANA, DAVTYAN DAVID

“…An important section is the analysis of the difficulties of detecting and investigating extortion, the features of latency, the use of new methods of criminology and interdepartmental interaction, as well as forecasting new threats. …”
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Low-Cost Multifunctional Assistive Device for Visually Impaired Individuals by Richard Kral, Patrik Jacko, Tibor Vince

“…This paper presents a low-cost, multifunctional assistive device in the form of wearable glasses, integrating real-time text recognition, obstacle detection, and remote assistance. Built around a Raspberry Pi Zero 2W, the system features an Arducam IMX519 autofocus camera and a tactile button interface for user-friendly control. …”
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