A Radar-Based System for Detection of Human Fall Utilizing Analog Hardware Architectures of Decision Tree Model by Vassilis Alimisis, Dimitrios G. Arnaoutoglou, Emmanouil Anastasios Serlis, Argyro Kamperi, Konstantinos Metaxas, George A. Kyriacou, Paul P. Sotiriadis

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Depth-Enhanced Tumor Detection Framework for Breast Histopathology Images by Integrating Adaptive Multi-Scale Fusion, Semantic Depth Calibration, and Boundary-Guided Detection by A. Robert Singh, Suganya Athisayamani, Hariharasitaraman S, Faten Khalid Karim, Jose Varela-Aldas, Samih M. Mostafa

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An Electrochemical Sensor for the Simultaneous Detection of Pb²⁺ and Cd²⁺ in Contaminated Seawater Based on Intelligent Mobile Detection Devices by Zizi Zhao, Wei Qu, Chengjun Qiu, Yuan Zhuang, Kaixuan Chen, Yi Qu, Huili Hao, Wenhao Wang, Haozheng Liu, Jiahua Su

“…In this study, we present an electrochemical sensor based on intelligent mobile detection devices. By combining G-COOH-MWCNTs/ZnO with differential pulse voltammetry, the sensor enables the efficient, simultaneous detection of Pb²⁺ and Cd²⁺ in seawater. …”
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Reinfection with SARS-CoV-2 variants: The issues of hybrid immunity efficiency by I. A. Pobozhaya, N. M. Kalinina, N. V. Makarova

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Validation of the Malta Gait Scale: A Time-Efficient Tool for Poststroke Assessment by Valerio Sarmati, Carlos Carmona, Alessandro Morciano, Samuel Gutiérrez, Ingrid Velásquez, José Fernández

“…The Wilcoxon test assessed the efficacy of the MGS in detecting rehabilitation-induced changes, differentiating healthy from stroke participants, and evaluating time efficiency. …”
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The efficiency of some post-emergence herbicides for controlling problematic weeds of lawn areas by R. Gürbüz, H. Alptekin

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The efficiency and safety of enisamium iodide and umifenoviri in ARVI treatment in real clinical practice by V. V. Gordienko, K. V. Kozlov, A. A. Shedey, A. A. Litvinov, K. V. Kasyanenko, O. V. Maltsev, K. V. Zhdanov

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Study on the Efficiency of Denitrification and Phosphorus Removal in Municipal Wastewater Enhanced by Elemental Sulfur by Miao ZHOU, Lichang ZHOU, Boyi CHENG, Gang GUO

“…Following the addition of S0 each cycle, only sulfate was detected, while no sulfide or thiosulfate was found, indicating sulfur oxidation occurred, with almost no sulfur reduction in the reactor. …”
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Evaluating the Efficiency of Two Ecological Indices in Monitoring Forest Degradation in the Drylands of Sudan by Emad H. E. Yasin, Ahmed A. H. Siddig, Eiman E. Diab, Kornel Czimber

“…A strong, positive relationship between SARVI and NDVI (R² = 0.9085, <i>p</i> < 0.001) was identified, indicating that both are effective in detecting forest changes. …”
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Novel Cerium‐Based p‐Dopants with Low Parasitic Absorption for Improved Organic Devices by Stephanie A. Buchholtz, L. Conrad Winkler, Maximilian F. X. Dorfner, Fred Kretschmer, Anncharlott Kusber, Léonard Y. M. Eymann, Theresa Schmidt, Hans Kleemann, Johannes Benduhn, Frank Ortmann, Karl Leo

“…Abstract High electrical conductivity and improved charge carrier injection enabled by molecular doping are pivotal for high‐performance, energy‐efficient, and stable organic optoelectronic devices. …”
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Application of Doehlert design combined with chemometrics tools: Example of the optimization of the elution of neurotransmitters and metabolites by HPLC by Camille Rosier, Bruno P. Guiard, Guillaume Gotti

“…Optimized conditions include a mobile phase of ACN/MeOH/H2O (11.25/3.25/85.5; v/v/v) with a pH near 1.65, achieving optimal elution times around 20 min, column efficiency with a mean number of theoretical plates close to 8000, and peak asymmetry of approximately 1.23. …”
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CURRENT POSSIBILITIES OF MAGNETIC – RESONANCE IMAGING IN DETECTION OF OVARIAN CANCER by N. A. Rubtsova, E. G. Novikova, I. Yu. Sychenkova

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Capacity Constraint Analysis Using Object Detection for Smart Manufacturing by Hafiz Mughees Ahmad, Afshin Rahimi, Khizer Hayat

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A Review of Fault Detecting Devices for Belt Conveyor Idlers by Fahad Alharbi, Suhuai Luo

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Deep learning algorithms for detecting fractured instruments in root canals by Ekin Deniz Çatmabacak, İrem Çetinkaya

“…Conclusions DenseNet201’s superior performance highlights its clinical potential for FEI detection, while ResNet-18 offers a balance between accuracy and computational efficiency. …”
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MGL-YOLO: A Lightweight Barcode Target Detection Algorithm by Yuanhao Qu, Fengshou Zhang

“…Due to the critical importance of one-dimensional barcode detection in logistics, retail, and manufacturing, which has become a key issue affecting operational efficiency, researchers have shown increasing interest in this area. …”
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YOLO-MECD: Citrus Detection Algorithm Based on YOLOv11 by Yue Liao, Lerong Li, Huiqiang Xiao, Feijian Xu, Bochen Shan, Hua Yin

“…This model demonstrates excellent comprehensive performance in citrus object detection tasks, with a precision (P) of 84.4%, a recall rate (R) of 73.3%, and an elevated mean average precision (mAP) of 81.6%. …”
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A quantitative PCR to detect non-toxigenic Clostridioides difficile by Khurshida Begum, Hubert C. Chua, M. Jahangir Alam, Kevin W. Garey, Jinhee Jo

“…However, current diagnostic tests detect either toxin proteins or toxin genes and cannot detect NTCD. …”
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Runtime verification approach for DoS attack detection in edge servers by Bin YU, Nan ZHANG, Xu LU, Zhenhua DUAN, Cong TIAN

“…Aiming at the DoS (denial of service) attacks against edge servers in an edge computing system, a parallel runtime verification approach for DoS attack detection was proposed.First, PPTL (propositional projection temporal logic) formulas were utilized to formally describe expected behaviors of an edge server and DoS attack characteristics.Then, for the PPTL formulas to be verified, a parallel runtime verification framework was adopted to make use of the computing and storage resources of an edge server to conduct anomaly detection and misuse detection.The proposed attack detection approach was performed for an actual P2P (peer-to-peer) network based on smart parking system using edge computing which was supposed to suffer from a DoS attack.Experiments show that the proposed method can accurately and efficiently identify abnormal behaviors of edge servers and types of DoS attacks.…”
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Detection and quantification of methane plumes with the MethaneAIR airborne spectrometer by L. Guanter, L. Guanter, J. Warren, M. Omara, A. Chulakadabba, A. Chulakadabba, J. Roger, M. Sargent, J. E. Franklin, S. C. Wofsy, R. Gautam

“…In this work, we present a computationally efficient data processing chain optimized for the detection and quantification of methane plumes with MethaneAIR. …”
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