Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization by Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir, Khandaker Rejaul Islam, Khandakar F. Islam, Rashid Mazhar, Tahir Hamid, Mohammad Tariqul Islam, Saad Kashem, Zaid Bin Mahbub, Mohamed Arselene Ayari, Muhammad E. H. Chowdhury

“…Tuberculosis (TB) is a chronic lung disease that occurs due to bacterial infection and is one of the top 10 leading causes of death. Accurate and early detection of TB is very important, otherwise, it could be life-threatening. …”
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Spectroscopic detection of cotton Verticillium wilt by spectral feature selection and machine learning methods by Weinan Li, Weinan Li, Weinan Li, Lisen Liu, Jianing Li, Weiguang Yang, Weiguang Yang, Yang Guo, Yang Guo, Longyu Huang, Longyu Huang, Zhaoen Yang, Jun Peng, Jun Peng, Xiuliang Jin, Xiuliang Jin, Yubin Lan, Yubin Lan

“…Initial analysis identified critical spectral reflectance bands, wavelet coefficients, and SIs that exhibited dynamic responses as the disease progressed.ResultsModel validation demonstrated that the incidence detection models at the leaf scale achieved a peak classification accuracy of 85.83%, which is about 10% higher than traditional methods without feature selection. …”
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Intelligent Fire Suppression Devices Based on Microcapsules Linked to Sensor Internet of Things by Jong-Hwa Yoon, Xiang Zhao, Dal-Hwan Yoon

“…There are various factors that cause initial fires, such as electrical outlets, general distribution circuits, and oil–vapor–gas cluster spaces. …”
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Le traitement du bagne colonial de Guyane par le magazine Détective by Jean-Lucien Sanchez

“…However, they continued to get on spot and report back to the public. At the same time, Détective’s tone became openly abolitionist, accompanying and mediating various legislative initiatives initiated in Parliament from the 1930s onwards.…”
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Reach-Avoid Games with a Time Limit and Detection Range: A Geometric Approach by Xi Chen, Jianqiao Yu, Kang Niu, Di Yang, Jiaxun Li

“…By analyzing the geometric property of the Apollonian circle and the detection range, we give the barrier under the condition that the attacker is initially detected and the attacker’s shortest route which guarantees its arrival at the target region when it is initially outside the detection range. …”
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Molecularly-imprinted silica nanoparticles for rapid and selective detection of atenolol in artificial urine samples by Adem Zengin

“…Herein, a novel molecularly imprinted polymer was synthesized on silica nanoparticles via surface imprinting approach for rapid, sensitive and selective detection of atenolol in artificial urine samples. …”
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Diagnostic accuracy of artificial intelligence for obstructive sleep apnea detection: a systematic review by Sara Haghighat, Muhammed Joghatayi, Julien Issa, Sarina Azimian, Janet Brinz, Ali Ashkan, Akhilanand Chaurasia, Zahra Rahimian, Linda Sangalli

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Vibration-Based Adaptive Novelty Detection Method for Monitoring Faults in a Kinematic Chain by Jesus Adolfo Cariño-Corrales, Juan Jose Saucedo-Dorantes, Daniel Zurita-Millán, Miguel Delgado-Prieto, Juan Antonio Ortega-Redondo, Roque Alfredo Osornio-Rios, Rene de Jesus Romero-Troncoso

“…The structure of the method is divided into two recursive stages: first, an offline stage for initialization and retraining of the feature reduction and novelty detection modules and, second, an online monitoring stage to continuously assess the condition of the machine. …”
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Improved Asphalt Pavement Crack Detection Model Based on Shuffle Attention and Feature Fusion by Tursun Mamat, Abdukeram Dolkun, Runchang He, Yonghui Zhang, Zulipapar Nigat, Hanchen Du

“…The experimental results demonstrate a stepwise improvement in the model’s mean average precision (mAP) with each enhancement to the original network. Initially, adding a small object detection layer increased the mAP by 3.4 percentage points, raising it to 68.2%. …”
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Detection of Duct Ectasia of Mammary Gland by Ultrasonography in a Neonate with Bloody Nipple Discharge by Ramazan Aydin, Selim Baris Gul, Ahmet Veysel Polat

“…We conclude that bloody nipple discharge is usually a benign and self-limited process in infancy, and that it is advisable to avoid unnecessary invasive investigations initially.…”
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Caries Detection Methods Based on Changes in Optical Properties between Healthy and Carious Tissue by Lena Karlsson

“…Objective evidence of initiation of the disease can be detected in the form of distinct changes in the optical properties of the affected tooth structure. …”
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The critical role of primary care clinicians in the early detection of ocular surface squamous neoplasia by Leendert Dekker, Jan F. Olivier, Klaus von Pressentin

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Preeruptive Intracoronal Radiolucencies: Detection and Nine Years Monitoring with a Series of Dental Radiographs by Chanika Manmontri, Phattaranant May Mahasantipiya, Papimon Chompu-inwai

“…A case report of a 17-year-old boy with a nonprogressive PEIR on the permanent mandibular left second molar is presented. The lesion was initially detected on an unerupted tooth at age eight years, eight months. …”
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High-Accuracy Entanglement Detection via a Convolutional Neural Network with Noise Resistance by Qian Sun, Yanyan Song, Zhichuan Liao, Nan Jiang

“…Furthermore, the inherent generalization power of CNNs allows our model, which was initially trained on a specific spectrum of quantum states, to extend its applicability to wider states, positioning it as an outstanding tool for the further application of machine learning in the field of quantum computing, opening up new pathways for solving entanglement detection problems in quantum information.…”
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Somatostatin neurons detect stimulus-reward contingencies to reduce neocortical inhibition during learning by Eunsol Park, Dika A. Kuljis, Rachel A. Swindell, Ajit Ray, Mo Zhu, Joseph A. Christian, Alison L. Barth

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Small target detection algorithm based on the fusion attention mechanism and multi-layer convolution. by Xiujing Li, Haifei Zhang, Yiliu Hang, Hao Chen

“…Initially, we designed the MConv (Multi-layer Convolution) module to replace the conventional Conv module within the backbone network, thereby augmenting the dimensionality of information capture and enhancing the detection performance for small targets. …”
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Nearest neighbor permutation entropy detects phase transitions in complex high-pressure systems by Arthur A. B. Pessa, Leonardo G. J. M. Voltarelli, Lúcio Cardozo-Filho, Andres G. M. Tamara, Claudio Dariva, Papa M. Ndiaye, Matjaž Perc, Haroldo V. Ribeiro

“…Here, we combine nearest neighbor permutation entropy, computed directly from in situ near-infrared absorbance spectra acquired during depressurization trials of mixtures of carbon dioxide and a distilled petroleum fraction, with an anomaly detection approach to identify phase transitions. We show that changes in nearest neighbor entropy effectively signal transitions from initially homogeneous mixtures to two-phase equilibria, thereby enabling accurate out-of-sample online predictions of transition pressures. …”
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Limonene Detection in the Exhaled Human Breath Providing an Early Diagnosis Method of Liver Diseases by Erich Kny, Christoph Kleber, Wiktor Luczak

“…This review aims to summarize possible methods for the detection of limonene in the gas phase at low to very low concentrations. …”
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Optimized Stem Cell Detection Using the DyeCycle-Triggered Side Population Phenotype by Maximilian Boesch, Dominik Wolf, Sieghart Sopper

“…In addition, we investigate the suitability of blue laser-excitable DyeCycle dyes for side population detection. This knowledge will help to improve and standardize detection and isolation of stem cells based on their expression of ABC drug transporters.…”
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Patient-reported symptoms in the detection of head and neck cancer recurrence: a systematic review by Kate Hulse, Kate Hulse, Rhona Hurley, Rhona Hurley, Rhona Hurley, Anja Lowit, Roma Maguire, Claire Paterson, Claire Paterson, Claire Paterson, Catriona M. Douglas, Catriona M. Douglas, Catriona M. Douglas

“…IntroductionPatient-initiated follow-up (PIFU) after treatment for head and neck cancer (HNC) relies on the signs and symptoms of recurrence being detectable by patients. …”
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