Validation of the Distress Thermometer for detecting psychological distress in patients with stable chronic obstructive pulmonary disease: optimal cut-off score and influencing fac... by Xu Tian, Xiaoling Liu, Xiuni Gan, Maria F. Jimenez-Herrera, Hongcai Shang, Yi Ren

“…The Distress Thermometer (DT), originally developed for cancer patients, is a brief screening tool for detecting psychological distress. However, the optimal cut-off in COPD patients remains unclear. …”
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Simultaneous determination of 101 volatile organic compounds released from plastic runway tracks based on the environmental chamber-canister sampling-three-stage cold trap preconce... by Gan Liu, Gan Liu, Yong Ma, Yong Ma, Hong Wang, Hong Wang, Yanrong Meng, Yanrong Meng, Yu Huang, Yu Huang, Weitao Zheng, Weitao Zheng

“…The method applies a simultaneous determination of 101 VOCs based on the environmental chamber-canister sampling-three-stage cold trap preconcentration-gas chromatography-mass spectrometry/flame ionization detection (GC-MS/FID) method. …”
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Anti-ship missile counter-detection strategies analyzing supported by electronic jamming device by Yupeng Xie, Pengfei Sun, Xuelong Hou, Jia Liu, Changsheng Dai

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Classification and Identification of Foodborne Bacteria in Beef by Utilising Surface-Enhanced Raman Spectroscopy Coupled with Chemometric Methods by Huixin Zuo, Yingying Sun, Mingming Huang, Stephanie Marie Fowler, Jing Liu, Yimin Zhang, Yanwei Mao

“…The detection and classification of foodborne pathogenic bacteria is crucial for food safety monitoring, consequently requiring rapid, accurate and sensitive methods. …”
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Blockchain enhanced distributed denial of service detection in IoT using deep learning and evolutionary computation by V. V. S. H. Prasad, Swathi Sowmya Bavirthi, C. S. S. Anupama, E. Laxmi Lydia, K. Sathesh Kumar, Khalid Ammar, Mohamad Khairi Ishak

“…This paper proposes the Metaheuristic-Optimized Blockchain Framework for Attack Detection using a Deep Learning Model (MOBCF-ADDLM) method. …”
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Construction of a clinically significant prostate cancer risk prediction model based on traditional diagnostic methods by Wen-Tong Ji, Yong-Kun Wang, Zhan-Yang Han, Si-Qi Wang, Yao Wang, Yao Wang

“…Subsequently, we developed an online calculator (https://jiwentong0.shinyapps.io/dynnomapp/) with six variables for biopsy optimization.ConclusionThis study incorporated the results of three traditional diagnostic methods to establish a cost-effective and highly accurate model for predicting csPCa before biopsy. …”
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Optimization of Flight Scheduling in Urban Air Mobility Considering Spatiotemporal Uncertainties by Lingzhong Meng, Minggong Wu, Xiangxi Wen, Zhichong Zhou, Qingguo Tian

“…Traditional flight plan adjustment and management methods often rely on deterministic trajectory predictions, ignoring the inherent temporal uncertainties in actual operations, which may lead to the underestimation of potential risks. …”
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Development of a highly sensitive reporter gene cell line for detecting estrogenic activity (the ER Isjaki assay) by Aline Colonnello Montero, Geeta Mandava, Agneta Oskarsson, Johan Lundqvist

“…Monitoring of estrogens in water sources faces significant challenges, as proposed changes in the European Union regulation for environmental protection of water bodies, compromise the ability of conventional analytical methods to detect low concentrations of estrogens. …”
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Finite Element Method-Based Modeling of a Novel Square Photonic Crystal Fiber Surface Plasmon Resonance Sensor with a Au–TiO₂ Interface and the Relevance of Artificial I... by Ayushman Ramola, Amit Kumar Shakya, Arik Bergman

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Inverse Gravimetric Problem Solving via Prolate Ellipsoidal Parameterization and Particle Swarm Optimization by Ruben Escudero González, Zulima Fernández Muñiz, Antonio Bernardo Sánchez, Juan Luis Fernández Martínez

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Determination of morphine, codeine and 6-monoacetylmorphine in saliva of substance-abuse patients using HPLC/MS methods by Milovanović Vesna, Ćirić Biljana, Milenković Jasna, Kilibarda Vesna, Ćurčić Marijana, Vučinić Slavica, Antonijević Biljana

“…Hence, the aim of this study was to optimize a method for saliva specimen preparation for heroin metabolites, morphine and 6-monoacetylmorphine (6-mam), and codeine determination by liquid chromatography-mass spectrometry (LC/MS), and to apply this method on saliva samples taken from the patients. …”
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Clinical and cost-effectiveness of detailed anomaly ultrasound screening in the first trimester: a mixed-methods study by Jehan N Karim, Helen Campbell, Pranav Pandya, Edward C F Wilson, Zarko Alfirevic, Trish Chudleigh, Elizabeth Duff, Jane Fisher, Hilary Goodman, Lisa Hinton, Christos Ioannou, Edmund Juszczak, Louise Linsell, Heather L Longworth, Kypros H Nicolaides, Anne Rhodes, Gordon Smith, Basky Thilaganathan, Jim Thornton, Gillian Yaz, Oliver Rivero-Arias, Aris T Papageorghiou

“…To draw together the findings and recommendations from the project, and, if appropriate, outline the design of plausible studies or clinical trials. Methods The systematic reviews and meta-analyses of studies were designed to evaluate the diagnostic accuracy of two-dimensional ultrasound for the detection of a pre-selected group of major anomalies at 11–14 weeks’ gestation, based on Fetal Anomaly Screening Program (FASP) priorities and the consensus group: anencephaly, holoprosencephaly, encephalocele, body stalk anomaly, ectopia cordis, exomphalos, gastroschisis, lower urinary tract obstruction (LUTO) and major cardiac anomalies. …”
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Impact of haemostasis methods during ovarian cystectomy on ovarian reserve: a pairwise and network meta-analysis by Qin Xie, Yue Xie, Ying Shi, Xiaozhen Quan, Xuezhou Yang

“…The comprehensive ranking results revealed that suture treatment was, with the highest probability, beneficial to the protection of the ovarian reserve.Conclusions There was insufficient research to detect the optimal haemostasis method for ovarian reserve preservation in ovarian cystectomy. …”
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Education and Symptom Reporting in an mHealth App for Patients With Cancer: Mixed Methods Development and Validation Study by Carolina Muñoz Olivar, Miguel Pineiro, Juan Sebastián Gómez Quintero, Carlos Javier Avendaño-Vásquez, Pablo Ormeño-Arriagada, Silvia Palma Rivadeneira, Carla Taramasco Toro

“…MethodsThis mixed-methods study details the development and validation of mobile health applications. …”
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Diagnostic Models for Differentiating COVID-19-Related Acute Ischemic Stroke Using Machine Learning Methods by Eylem Gul Ates, Gokcen Coban, Jale Karakaya

“…Among the methods, RFE provided the most consistent results, with k-NN and the ANN identified as the most effective classifiers for COVID-19 detection. …”
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Methods for the Construction and Editing of an Efficient Control Network for the Photogrammetric Processing of Massive Planetary Remote Sensing Images by Xin Ma, Chun Liu, Xun Geng, Sifen Wang, Tao Li, Jin Wang, Pengying Liu, Jiujiang Zhang, Qiudong Wang, Yuying Wang, Yinhui Wang, Zhen Peng

“…Finally, we developed an automatic detection method based on ray tracing for identifying invalid control points in the control network. …”
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Monitoring and Analyzing Driver Physiological States Based on Automotive Electronic Identification and Multimodal Biometric Recognition Methods by Shengpei Zhou, Nanfeng Zhang, Qin Duan, Xiaosong Liu, Jinchao Xiao, Li Wang, Jingfeng Yang

“…This combined model effectively identifies and analyzes the driver’s physiological state, enabling timely anomaly detection. The method was validated through real-vehicle tests involving multiple drivers, where extensive physiological and driving behavior data were collected. …”
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Development of a Method for a Sensitive Simultaneous Determination of Dopamine and Paracetamol in Biological Samples and Pharmaceutical Preparations by Ali Babaei, Aliyeh Dehdashti, Mohammad Afrasiabi

“…The measurements were carried out by application of differential pulse voltammetry (DPV), cyclic voltammetry (CV), and chronoamperometry (CA) methods. Application of DPV method showed wide linear range of DA from 1 μM to 540 μM and a detection limit of 0.098 μM (S/N=3). …”
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Time-Varying ℓ0 Optimization for Spike Inference from Multi-Trial Calcium Recordings by Tong Shen, Mingyu Du, Kevin Johnston, Steven F. Grieco, Rachel Crary, John F. Guzowski, Gyorgy Lur, Xiangmin Xu, Hernando Ombao, Michele Guindani, Zhaoxia Yu

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Development of a Large-Volume Concentration Method to Recover Infectious Avian Influenza Virus from the Aquatic Environment by Laura E. Hubbard, Erin A. Stelzer, Rebecca L. Poulson, Dana W. Kolpin, Christine M. Szablewski, Carrie E. Givens

“…To explore environmental contamination with the avian influenza virus, a large-volume concentration method for detecting infectious avian influenza virus in waterbodies was developed. …”
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