Deep Learning-Based Multi-Floor Indoor Localization Using Smartphone IMU Sensors With 3D Location Initialization by Jin-Woo Kim, Yoan Shin

“…After detecting the initial 3D position, the method combines barometer-based floor transition detection and PDR-based position estimation to enable multi-floor indoor localization, and addresses the drift problem using correction nodes based on magnetic field data. …”
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Argentina-Alzheimer's disease neuroimaging initiative (Arg-ADNI): neuropsychological evolution profile after one-year follow up by Patricio Chrem Méndez, Ismael Calandri, Federico Nahas, María Julieta Russo, Ignacio Demey, María Eugenia Martín, María Florencia Clarens, Paula Harris, Fernanda Tapajoz, Jorge Campos, Ezequiel I. Surace, Horacio Martinetto, Fernando Ventrice, Gabriela Cohen, Silvia Vázquez, Carlos Romero, Salvador Guinjoan, Ricardo F. Allegri, Gustavo Sevlever

“…ABSTRACT The Argentina-Alzheimer's disease neuroimaging initiative (Arg-ADNI) study is a longitudinal prospective cohort of 50 participants at a single institution in Buenos Aires, Argentina. …”
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Characterization and propagation of tumor initiating cells derived from colorectal liver metastases: trials, tribulations and a cautionary note. by Mark I James, Lynne M Howells, Ankur Karmokar, Jennifer A Higgins, Peter Greaves, Hong Cai, Ashley Dennison, Matthew Metcalfe, Giuseppe Garcea, David M Lloyd, David P Berry, William P Steward, Karen Brown

“…Tumor initiating cells (TIC) are increasingly being put forward as a potential target for intervention within colorectal cancer. …”
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A multi-hospital, clinician-initiated bacterial genomics programme to investigate treatment failure in severe Staphylococcus aureus infections by Stefano G. Giulieri, Marcel Leroi, Diane Daniel, Roy Chean, Katherine Bond, Harry Walker, Natasha E. Holmes, Nomvuyo Mothobi, Adrian Alexander, Adam Jenney, Carolyn Beckett, Andrew Mahony, Kerrie Stevens, Norelle L. Sherry, Benjamin P. Howden

“…Abstract Bacterial genomics is increasingly used for infectious diseases surveillance, outbreak detection and prediction of antibiotic resistance. …”
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The scRNA-sequencing landscape of pancreatic ductal adenocarcinoma revealed distinct cell populations associated with tumor initiation and progression by Ying Wang, Zhouliang Bian, Lichao Xu, Guangye Du, Zihao Qi, Yanjie Zhang, Jiang Long, Wentao Li

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Local Community Detection Algorithm Based on Minimal Cluster by Yong Zhou, Guibin Sun, Yan Xing, Ranran Zhou, Zhixiao Wang

“…In order to discover the structure of local community more effectively, this paper puts forward a new local community detection algorithm based on minimal cluster. Most of the local community detection algorithms begin from one node. …”
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A Review of Anomaly Detection in Spacecraft Telemetry Data by Asma Fejjari, Alexis Delavault, Robert Camilleri, Gianluca Valentino

“…In recent years, several anomaly detection methods have been developed to monitor spacecraft telemetry data and detect anomalies. …”
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Detecting anomalous SRF cavity behavior with unsupervised learning by Hal Ferguson, Jiang Li, Adam Carpenter, Chris Tennant, Dillon Thomas, Dennis Turner

“…We present an unsupervised learning framework for detecting anomalous superconducting radio-frequency (SRF) cavity behavior at the Continuous Electron Beam Accelerator Facility (CEBAF), emphasizing its initial performance and effectiveness. …”
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A Corner Detection Method for Noisy Checkerboard Images by Hui Liu, Ligen Shan, Jiahao Feng, Shuanghao Wang

“…This article proposes a novel approach for corner detection in noisy checkerboard images, comprising several methodical steps: (1) an initial extraction of corners utilizing the cross features present in the edge image of the checkerboard; (2) the elimination of erroneous corners through an analysis of the periodic consistency among the detected corners; (3) the identification of the outermost corners and the subsequent generation of a rectangular bounding box based on the total number of input checkerboard corners; (4) the reconstruction of missing corners, which may have been obscured by noise, by leveraging the periodic characteristics of the corners. …”
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Network intrusion detection based on improved KNN algorithm by Hongsheng Bao, Jie Gao

“…The proposed method had the highest classification accuracy on the dataset, and the detection rate of all types of attacks reached more than 98%. …”
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Weak Signal Detection Algorithm Based on Particle Filtering by Mao Senpeng, Wang Pengfei, Chen Wei, Guo Lei

“…In the problem of detecting weak signals, due to the noise issue, it is more prone to missed detections and false detections. …”
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Detecting the Presence of Named Entities in Bengali: Corpus and Experiments by Farzana Rashid, Fahmida Hamid

“…Hence, as part of the initial phase, we have constructed a qualitative dataset in Bengali. …”
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Detection and Classification of Emotional State Based on Speech Signal by Hiba Younis, Mrewan Mustafa, Rahma Raad

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Disease remission and sustained remission after etanercept biosimilar or originator initiation in rheumatoid arthritis: an interim real-world analysis by Marina G. Birck, Jessica Boivin, Laura Yan, Nathalie Carrier, Cristiano S. Moura, Walter P. Maksymowych, Gilles Boire, Denis Choquette, Luck Lukusa, Michael Mallinson, Linda Wilhelm, Autumn Neville, Sasha Bernatsky

“…Conclusion We did not detect clear differences in first remission and sustained remission between participants with RA initiating ETA-B or ETA-O. …”
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Proactive Detection and Mitigation Strategies for Advanced Persistent Threats by Raghav MITTAL, Ivan CVITIĆ, Dragan PERAKOVIĆ, Soosaimarian Peter RAJA

“…Specifically, the paper examines current gaps in APT detection, from the initial stages of infiltration through to the complete removal of the threat. …”
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Preliminary Evaluation of the Scandinavian Guidelines for Initial Management of Minimal, Mild, and Moderate Head Injuries with Glial Fibrillary Acidic Protein by Mira Keski-Pukkila, Justin E. Karr, Jussi P. Posti, Ksenia Berghem, Anna-Kerttu Kotilainen, Kaj Blennow, Henrik Zetterberg, Grant L. Iverson, Teemu M. Luoto

“…Glial fibrillary acidic protein (GFAP) has become the most promising biomarker for detecting traumatic abnormalities on head computed tomography (CT) in patients with traumatic brain injury (TBI), but most studies have not addressed the potential added value of combining the biomarker with clinical variables that confer risk for intracranial injuries. …”
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Conversion surgery for initially unresectable carcinoma of the ampulla of Vater following pathological complete response to chemotherapy: a case report by Yo Sato, Takanobu Hara, Yuko Takami, Yoshiyuki Wada, Tomoki Ryu, Shin Sasaki, Munehiro Yoshitomi, Seiya Momosaki, Masatoshi Murakami, Masayuki Hijioka, Toyoma Kaku, Ken Kawabe, Hideki Saitsu

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Teachers in Initial Training Facing the Sustainable Development Goals: A Comparative Study Before and After the COVID-19 Pandemic by Ramón Méndez, María del Mar Felices-de la Fuente

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Incomplete recovery of pneumococcal CD4 T cell immunity after initiation of antiretroviral therapy in HIV-infected malawian adults. by Enoch Sepako, Sarah J Glennie, Kondwani C Jambo, David Mzinza, Oluwadamilola H Iwajomo, Dominic Banda, Joep J van Oosterhout, Neil A Williams, Stephen B Gordon, Robert S Heyderman

“…S. pneumoniae colonization was detected in 27% (13/48) of HIV-infected patients prior to ART. …”
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Evolution of Brain Magnetic Resonance Imaging Lesions in Dogs Treated for Meningoencephalomyelitis of Unknown Origin Between Initial Diagnosis and Relapse by Carole Soulé, Laurent Blond, Robin Cavalerie, Stéphanie Piazza, Clément Baudin‐Tréhiou

“…Beyond this period, new lesions may occur with or without remission of the initial pathologic process, and repeat MRI is of high diagnostic and clinical value in detecting new lesions and characterizing the underlying pathologic process.…”
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