Evaluation of antibody serology to determine current helminth and Plasmodium falciparum infections in a co-endemic area in Southern Mozambique. by Rebeca Santano, Rocío Rubio, Berta Grau-Pujol, Valdemiro Escola, Osvaldo Muchisse, Inocência Cuamba, Marta Vidal, Gemma Ruiz-Olalla, Ruth Aguilar, Javier Gandasegui, Maria Demontis, Jose Carlos Jamine, Anélsio Cossa, Charfudin Sacoor, Jorge Cano, Luis Izquierdo, Chetan E Chitnis, Ross L Coppel, Virander Chauhan, David Cavanagh, Sheetij Dutta, Evelina Angov, Lisette van Lieshout, Bin Zhan, José Muñoz, Carlota Dobaño, Gemma Moncunill

“…Management of these infections requires detection and treatment of infected people and evaluation of large-scale measures implemented. …”
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Ensemble Deep Learning Models for Enhanced Brain Tumor Classification by Leveraging ResNet50 and EfficientNet-B7 on High-Resolution MRI Images by Retinderdeep Singh, Sheifali Gupta, Salil Bharany, Ahmad Almogren, Ayman Altameem, Ateeq Ur Rehman

“…Brain tumors are among the most significant and challenging medical conditions because of their sometimes-fatal outcomes and complexity of treatment options. Early, exact detection of brain tumors is essential for both the most effective treatment programs and much higher patient survival rates. …”
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Assessing awareness of colorectal cancer symptoms, risk factors and screening barriers among eligible adults in Jordan: a cross-sectional study by M. S. El Muhtaseb, Aseel Ghanayem, Wa’ad N. Almanaseer, Husam Alshebelat, Rawan Ghanayem, Ghadeer M. Alsheikh, Fahed Al Karmi, Daoud O. Al Aruri

“…This prompts the need for more cancer education and healthcare provider involvement to overcome screening barriers and promote participation in screening programs to enable early detection.…”
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APPROACHES FOR A MODEL OF POPULATION UROLOGICAL SCREENING BASED ON TELEMEDICINE TECHNOLOGIES by O. I. Apolikhin, A. V. Sivkov, I. A. Shaderkin, A. V. Vladzymyrskyy, V. A. Shaderkina, D. A. Voytko, M. Yu. Prosyannikov

“…A screening allows improve detection dramatically, but current methods of screening almost impossible to use widely. …”
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Awareness of breast cancer and perceived barriers to breast screening methods: a community based cross-sectional study among women in Yemen by Gamil Othman, Faisal Ali, Maria Mudathir, Heba Almoliky, Maria Al-qahtani, Nora Alezzi, Nosibah Ameen, Doa’a Anwar Ibrahim, Mohammed Mohammed Battah, Mohamed Izham Mohamed Ibrahim

“…Conclusion To enhance breast cancer screening rates among Yemeni women consistently, targeted educational programs emphasizing the benefits of early detection and dispelling misconceptions and barriers related to the disease are essential.…”
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AI-supported versus manual microscopy of Kato-Katz smears for diagnosis of soil-transmitted helminth infections in a primary healthcare setting by Joar von Bahr, Antti Suutala, Hakan Kucukel, Harrison Kaingu, Felix Kinyua, Martin Muinde, Kevan Osundwa, Wigina Ronald, Jackson Muinde, Billy Ngasala, Mikael Lundin, Andreas Mårtensson, Nina Linder, Johan Lundin

“…Stool samples (n = 965) were collected from school children and Kato-Katz thick smears were digitized for AI-based detection. Light-intensity infections accounted for 96.7% of cases. …”
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THE USE OF NEURAL NETWORKS FOR THE AUTOMATIC ANALYSIS OF ELECTROCARDIOGRAMS IN DIAGNOSIS OF CARDIOVASCULAR DISEASES by G. I. Kachayeva, A. G. Mustafayev

“…The elaboration of existing and development of new methods for processing electrocardiographic data allow the problem of timely diagnosis and prevention of cardiovascular diseases to be solvedat early stages of their detection.ConclusionThe accuracy of detection and extraction of the ECG signal components shows that the developed neural network model can be used to detect heart diseases among patients.…”
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LarGAN: A Label Auto-Rescaling Generation Adversarial Network for Rare Surface Defects by Guan Qin, Hanxin Zhang, Ke Xu, Liaoting Pan, Lei Huang, Xuezhong Huang, Yi Wei

“…Insufficient defect data significantly limits detection accuracy in continuous casting slab production. …”
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Identifying fabricated networks within authorship-for-sale enterprises by Simon J. Porter, Leslie D. McIntosh

“…The model suggested in this paper detects networks that have a statistically significant overlap with other approaches that principally rely on textual analysis for the detection of fraudulent papers. …”
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A Fully Digital Indirect Time-of-Flight Image Sensor With Multi-Frame Integration and Time-Gated Single-Photon Counting Method by Byungchoul Park, Hyeon-June Kim

“…The proposed sensor is fabricated in a 110 nm backside-illumination (BSI) CMOS image sensor process, optimized for light detection and ranging (LiDAR) applications. …”
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A Discriminative Target Equation-Based Face Recognition Method for Teaching Attendance by Feng Xu, Haiwei Wang

“…For the face recognition process, the system uses the Ad boost algorithm based on Hear features to achieve face detection, preprocesses the face samples with gray normalization, rotation correction, and size correction, and uses the method based on LBP features to achieve face recognition. …”
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Advancing malware imagery classification with explainable deep learning: A state-of-the-art approach using SHAP, LIME and Grad-CAM. by Sadia Nazim, Muhammad Mansoor Alam, Syed Safdar Rizvi, Jawahir Che Mustapha, Syed Shujaa Hussain, Mazliham Mohd Suud

“…A comprehensive investigation of significant characteristics and their impact on the decision-making process of the model and multiple query point visualizations are some of the contributions. …”
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EDPNet: A Transmission Line Ice-Thickness Recognition End-Side Network Based on Efficient Dynamic Perception by Yangyang Jiao, Yu Zhang, Yinke Dou, Liangliang Zhao, Qiang Liu

“…Then, a new dynamic loss function is adopted in the training process to guide the model to perform refined detection of ice-covered boundaries. …”
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Machine learning the Ising transition: A comparison between discriminative and generative approaches by Difei Zhang, Frank Schäfer, Julian Arnold

“…The detection of phase transitions is a central task in many-body physics. …”
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A novel approach to determine residual aldehyde content in conjugated polysaccharides with 3-methyl-2-benzothiazolinonehydrazon (MBTH) by colorimetric method, automation, and HP-SE... by Weidong Tong, Mingxiang Lin, Ping Zhuang, Bukuru Anaclet, Castle Cooper

“…This mechanism of detection works in two steps. First, MBTH reacts with the aldehyde group to form azine. …”
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Feature Extraction and Classification of Power Quality Disturbances Using Optimized Tunable-Q Wavelet Transform and Incremental Support Vector Machine by Indu Sekhar Samanta, Pravat Kumar Rout, Kunjabihari Swain, Satyasis Mishra, Murthy Cherukuri

“…A modified objective function based on the mean square error (MSE) is used to improve the decomposition process. In the third stage, an efficient classifier is suggested based on the ISVM. …”
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Concordance in diagnostic testing for respiratory pathogens of bighorn sheep by Daniel P. Walsh, E. Frances Cassirer, Michael D. Bonds, Daniel R. Brown, William H. Edwards, Glen C. Weiser, Mark L. Drew, Robert E. Briggs, Karen A. Fox, Michael W. Miller, Sudarvili Shanthalingam, Subramaniam Srikumaran, Thomas E. Besser

“…Agreement between laboratories was high for polymerase chain reaction (PCR) detection of M. ovipneumoniae and culture isolation of Mannheimia spp. and Bibersteinia trehalosi (median agreement = 0.89–0.95, Kappa = 0.65–0.74), and lower for PCR detection of Mannheimia spp. lktA (median agreement = 0.58, Kappa = 0.12). …”
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Incorporation of vasa previa screening into a routine anomaly scan: A single center cohort study by Millicent Nwandison, Elizabeth Daly‐Jones, Alexandra Drought, Lisa Story, Philippe De‐Rosnay, Neil Sebire, David Nyberg, Yinka Oyelese

“…Routine screening for VP yielded a 100% detection rate. We suggest the inclusion of structured VP assessment in standard fetal anomaly screening programs.…”
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Ultrasonic Wire Bonding Technology in High-power IGBT Module Assembly by 覃荣震, 张泉

“…It introduces the mechanism of ultrasonic wire bonding, analyzes the material properties and the interface characteristics of the bonding for high-power IGBT module, and discusses the effects of bonding parameters on bonding strength. Several detection methods of bonding points’ strength are recommended, the parameters are further adjusted through the test results, so that the optimal wire bonding process of high-power IGBT modules can be achieved.…”
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Low-Frequency Model Constrained Petrophysical Estimation Based on Canonical Correlation Analysis by Hanming Chen, Lingqian Wang, Yamei Cao, Ning Wang, Hui Zhou, Mingyu Yang

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