Differential Seismic Phase Detection Probability as a Potential Discriminant of Explosions and Earthquakes by Chenglong Duan, Brandon Schmandt, Ross Maguire, Ruijia Wang, Qingkai Kong

“…Deep learning models trained to estimate the probability of seismic P and S phases are rapidly expanding the scale of local event detections. …”
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Emerging Biomarkers and Electrochemical Biosensors for Early Detection of Premature Coronary Artery Disease by Nanthini Mageswaran, Sarah Husnaini Zainal, Nurul Izzaty Hassan, Nurul Huda Abd Karim, Noor Akmal Shareela Ismail

“…Multiplex biomarker detection has been adopted as a viable approach for early diagnosis and risk assessment due to the constraints of using a single biomarker for pCAD diagnosis. …”
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Stabilizing TiO2/CsPbI2Br Perovskite Buried Interface for All‐Inorganic Perovskite toward Highly Efficient Photodetectors by Shruti Shah, Somnath Ladhane, Pratibha Shinde, Vidya Doiphode, Dhanashri Kale, Swati Rahane, Jyoti Thombare, Manasi Ingole, Yogesh Hase, Ashish Waghmare, Mohit Prasad, Shashikant P. Patole, Sandesh Jadkar

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Detection of DDoS Attacks in SDN Switches with Deep Learning and Swarm Intelligence Approach by Mohsen Eghbali, Mohammadreza Mollkhalili Maybodi

“…<p>This paper introduces an efficient intrusion detection system for the Internet of Things, addressing the challenge of malware-infected IoT nodes acting as botnet attackers, along with issues in existing intrusion detection systems such as feature selection, data imbalance, and centralization. …”
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Detection of proximate, phytochemical compositions, phycocyanin and antioxidant activity of Arthrospira platensis (Spirulina) by Marzieh Babashpour-Asl, Ghasem Eghlima

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Clinical value of combined 18F-FDG and 18F-P3BZA imaging in the diagnosis of melanoma by Rongchen An, Tian Xiang, Feng He, Xiaowei Ma, Yunhua Wang

“…Combined imaging improved N and M staging in 31.6% (6/19) of melanoma patients and changed clinical treatment decisions in 26.3% (5/19) of melanoma patients.ConclusionThe specificity of 18F-FDG alone in diagnosing melanoma is low, but it can be combined effectively with 18F-P3BZA. The combination of 18F-FDG and 18F-P3BZA PET/CT can further improve the detection efficiency of lesions, TNM staging, and clinical treatment decisions.…”
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Enhanced criteria for detecting oscillations in neutral delay Emden-Fowler differential equations by Maryam Al-Kandari

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The accuracy of ultrasonography for detection of enlarged parathyroid glands in patients with different forms of hyperparathyroidism by Stefanović Dara, Petrović Milan, Dugonjić Sanja

“…Results. Ultrasonography detected enlarged PTG in 93.85% of total patients, whereas scintigraphy uncovered 75.89% of positive cases (p < 0.05). …”
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Fluorophore signal detection and imaging enhancement in high refractive index nanowire biosensors by Nicklas Anttu

“…Semiconductor nanowires are an efficient platform for fluorescence-based biosensors. …”
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Self-Assembled Nanoplatform with pH/NIR Light-Responsive Drug Delivery for Combined Therapy of Glioma in vitro by Cao Z, Gao H, Xu Y

“…The synergistic anti-glioblastoma efficacy was systematically evaluated through MTT assays, live/dead cell staining, and apoptosis detection via Annexin V/PI staining. The pharmacokinetic profiles and blood-brain barrier (BBB) permeability of the FEID were analyzed in vivo.Results: The FEID nanoplatform displayed uniform spherical morphology (78.2 nm average diameter). pH/NIR-triggered release of DOX (chemotherapy) and ICG (PTT), combined with GSH depletion and NIR irradiation, synergistically enhanced Fe²⁺-mediated CDT. …”
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Intelligent Detection of Underwater Defects in Concrete Dams Based on YOLOv8s-UEC by Chenxi Liang, Yang Zhao, Fei Kang

“…Due to the scarcity of existing images of underwater concrete defects, this study establishes a dataset of underwater defect images by manually constructing defective concrete walls for the training of defect detection networks. For the defect feature ambiguity that exists in underwater defects, the ConvNeXt Block module and Efficient-RepGFPN structure are introduced to enhance the feature extraction capability of the network, and the P2 detection layer is fused to enhance the detection capability of small-size defects such as cracks. …”
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Detecting epistasis with the marginal epistasis test in genetic mapping studies of quantitative traits. by Lorin Crawford, Ping Zeng, Sayan Mukherjee, Xiang Zhou

“…Our method is based on a variance component model, and relies on a recently developed variance component estimation method for efficient parameter inference and p-value computation. …”
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Detection of Pear Quality Using Hyperspectral Imaging Technology and Machine Learning Analysis by Zishen Zhang, Hong Cheng, Meiyu Chen, Lixin Zhang, Yudou Cheng, Wenjuan Geng, Junfeng Guan

“…In summary, the combination of HSI and machine learning models enabled an efficient, rapid, and non-destructive detection of pear quality and provided a practical value for quality control and the commercial processing of pears.…”
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Method of Detecting Microorganisms on the Surface of Mandarin Fish Based on Hyperspectral and Information Fusion by Tao Yuan, Yixiao Ma, Zuyu Guo, Yijian Wang, Liqin Kong, Yaoze Feng, Haopeng Liu, Liang Meng

“…Microorganisms play a key role in fish spoilage and quality deterioration, making the development of a rapid, accurate, and efficient technique for detecting surface microbes essential for enhancing freshness and ensuring the safety of mandarin fish consumption. …”
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Anomaly detection and removal strategies for in-line permittivity sensor signal used in bioprocesses by Emils Bolmanis, Emils Bolmanis, Emils Bolmanis, Selina Uhlendorff, Miriam Pein-Hackelbusch, Vytautas Galvanauskas, Oskars Grigs

“…However, our method provides a structured solution through three consecutive steps: 1) Signal preprocessing to reduce noise and eliminate context dependency; 2) Anomaly detection using threshold-based identification; 3) Validation and removal of identified anomalies.Results and discussionWe demonstrate that our approach effectively detects and removes anomalies by compensating signal shift value, while remaining computationally efficient and practical for real-time use. …”
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An algorithm for road target detection of autonomous vehicles based on improved YOLOv8 by Jianping Gao, Haotian Li, Zhe Li, Chengwei Xie, Xiaolei Ji, Yuzhuo Zhang

“…To address the issue of false alarms caused by close-range overlapping road targets, we propose a new C2f module, C2f-EFB, which combines an efficient channel attention (ECA) mechanism. To address the issue of missed detections in long-distance road target recognition, we have added a P2 small target detection layer for improvement. …”
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Deep Learning-Based Carotid Plaque Ultrasound Image Detection and Classification Study by Hongzhen Zhang, Feng Zhao

“…Background: This study aimed to develop and evaluate the detection and classification performance of different deep learning models on carotid plaque ultrasound images to achieve efficient and precise ultrasound screening for carotid atherosclerotic plaques. …”
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Research on detection methods of related substances and degradation products of the antitumor drug selpercatinib by Jingjing Xiang, Liangliang Cai, Qin Wang, Yonghong Zhu, Yong Han

“…The developed HPLC method demonstrated excellent specificity, sensitivity, stability, linearity, precision, accuracy, and robustness. It efficiently separated the impurities present in selpercatinib, thereby confirming the method’s efficacy in ensuring the purity and quality of the drug.ConclusionThe chromatographic method established in this study can be used for the detection of selpercatinib and its impurities, providing significant reference value for the quality research of selpercatinib bulk drug and its preparations, and ensuring the safety of medication for patients.…”
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Detection of Aflatoxin B1 in Maize Silage Based on Hyperspectral Imaging Technology by Lina Guo, Haiqing Tian, Daqian Wan, Yang Yu, Kai Zhao, Xinglu Zheng, Haijun Li, Jianying Sun

“…Aflatoxin B1 (AFB1) is widely present in maize silage feed and poses strong toxicity, seriously threatening livestock production and food safety. To achieve efficient and accurate non-destructive detection of AFB1, this study proposes a quantitative prediction method based on hyperspectral imaging technology. …”
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Combining chromosome conformation capture and exome sequencing for simultaneous detection of structural and single-nucleotide variants by Maria Gridina, Timofey Lagunov, Polina Belokopytova, Nikita Torgunakov, Miroslav Nuriddinov, Artem Nurislamov, Lyudmila P. Nazarenko, Anna A. Kashevarova, Maria E. Lopatkina, Stanislav Vasilyev, Andrey Zuev, Elena O. Belyaeva, Olga A. Salyukova, Aleksandr D. Cheremnykh, Natalia N. Sukhanova, Marina E. Minzhenkova, Zhanna G. Markova, Nina A. Demina, Yana Stepanchuk, Anna Khabarova, Alexandra Yan, Emil Valeev, Galina Koksharova, Elena V. Grigor’eva, Natalia Kokh, Tatiana Lukjanova, Yulia Maximova, Elizaveta Musatova, Elena Shabanova, Andrey Kechin, Evgeniy Khrapov, Uliana Boyarskih, Oxana Ryzhkova, Maria Suntsova, Alina Matrosova, Mikhail Karoli, Andrey Manakhov, Maxim Filipenko, Evgeny Rogaev, Nadezhda V. Shilova, Igor N. Lebedev, Veniamin Fishman

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