Hearing vocals to recognize schizophrenia: speech discriminant analysis with fusion of emotions and features based on deep learning by Jie Huang, Yanli Zhao, Zhanxiao Tian, Wei Qu, Xia Du, Jie Zhang, Meng Zhang, Yunlong Tan, Zhiren Wang, Shuping Tan

“…Abstract Background and objective Accurate detection of schizophrenia poses a grand challenge as a complex and heterogeneous mental disorder. …”
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Electrochemical Immunosensors on Laser-Induced Graphene Platforms for Monitoring of Anti-RBD Antibodies After SARS-CoV-2 Infection by Beatriz R. Martins, Cristhianne Molinero R. Andrade, Guilherme F. Simão, Rhéltheer de Paula Martins, Lucas V. de Faria, Tiago A. Matias, Virmondes Rodrigues Júnior, Rodrigo Alejandro Abarza Munoz, Renata Pereira Alves

“…In this context, electrochemical biosensors present themselves as promising tools for the efficient monitoring of SARS-CoV-2 infection. We have developed a highly specific biosensor for the detection of anti-SARS-CoV-2 antibodies in patient sera. …”
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Compact classification using the biomimetic properties of ultrafast spiking microlaser neurons by Gibaek Kim, Matthieu Dubernard, Sami V El-Nakouzi, Amir-Hossein Masominia, Sylvain Barbay, Laurie E Calvet

“…This enables the training of a compact, energy efficient spiking photonic architecture that takes advantage of biomimetic properties to detect important features of the data. …”
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Pseudoneutralizing test for preclinical studies of vaccines against SARS-CoV-2 by B. S. Cherepovich, A. M. Kudryashova, N. P. Kartashova, A. V. Gracheva, V. A. Manuilov, I. A. Leneva, O. V. Borisova, O. A. Svitich

“…The purpose of this study was to evaluate efficiency of a competitive enzyme immunoassay which specifically detects antibodies that recognize the receptor-binding domain at the S1 subunit of SARS-CoV-2 coronavirus spike protein and block the formation of initiator infection complex between RBD and angiotensinconverting enzyme 2 (pseudo-neutralizing test, PNT) being applied at the stage of preclinical studies of anti- SARS-CoV-2 vaccine. …”
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Median interacted pigeon optimization-based hyperparameter tuning of CNN for paddy leaf disease prediction by Jasmy Davies, S. Sivakumari

“…The experimental results confirm that the proposed approach enhances prediction accuracy, also helps in efficient identification of co-infections of different viruses in rice plants. …”
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Heritable multiplex genetic engineering in rats using CRISPR/Cas9. by Yuanwu Ma, Bin Shen, Xu Zhang, Yingdong Lu, Wei Chen, Jing Ma, Xingxu Huang, Lianfeng Zhang

“…We further observed the gene modifications are germline transmittable, and confirmed the off-target mutagenesis and mosaicism are rarely detected by comprehensive analysis. Thus, the CRISPR/Cas9 system makes it possible to efficiently and reliably generate gene knock-out rats.…”
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Intelligent Collaborative Event Query Algorithm in Wireless Sensor Networks by Rongbo Zhu

“…Event query processing is a very important issue in wireless sensor networks (WSNs). In order to detect event early and provide monitoring information and event query timely in WSNs, an efficient intelligent collaborative event query (ICEQ) algorithm is proposed, in which sensor nodes that are near to the boundary of events are selected to accomplish complex event monitoring and query processing through intelligent collaboration. …”
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Monitoring the changes of a suburban settlement by remote sensing by LÁSZLÓ NAGYVÁRADI, PÉTER GYENIZSE, ANITA SZEBÉNYI

“…Aerial photos can also be used to collect complex spatial data as well as to detect various temporal changes on the land surface, such as construction of illegal edifices and waste dumps. …”
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RL-Cervix.Net: A Hybrid Lightweight Model Integrating Reinforcement Learning for Cervical Cell Classification by Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev, Young-Im Cho

“…<b>Background:</b> Reinforcement learning (RL) represents a significant advancement in artificial intelligence (AI), particularly for complex sequential decision-making challenges. Its capability to iteratively refine decisions makes it ideal for applications in medicine, such as the detection of cervical cancer; a major cause of mortality among women globally. …”
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THE TERM COMBINATION AND THE METAPHOR IN THE OFFICIAL BUSINESS DOCUMENT: COGNITIVE ASPECT by Yuliya I. Demyanchuk.

“…The sampling included the following phrases used to denote: 1) nuclear-powered rocket weapons system: nuclear cruise missile submarine; wire guarded missile; nuclear-powered ballistic missile submarine; rocket-assisted projectile; 2) radio-electronic and other technical tools: artillery radar complex; beam rider guidance; uninterruptible – power supply; laser range finder; ambush detection device; on-board electronic computer system; 3) reorganization of ground forces and senior management units: paramilitary mining rescue unit; logistics operations center; emergency unit; 4) change of some fundamental provisions (doctrines) in tactics and operational art: nuclear detonation detection; electronic countermeasures; protection of safety information. …”
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Enhanced Magnetic Resonance Imaging-Based Brain Tumor Classification with a Hybrid Swin Transformer and ResNet50V2 Model by Abeer Fayez Al Bataineh, Khalid M. O. Nahar, Hayel Khafajeh, Ghassan Samara, Raed Alazaidah, Ahmad Nasayreh, Ayah Bashkami, Hasan Gharaibeh, Waed Dawaghreh

“…Effective brain cancer detection is crucial for patients’ safety and health. …”
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Performance Analysis of Superposition M-ary QAM Modulation in Coded Protograph LDPC MIMO Communication Systems With Low-Resolution ADCs by Duc A. Hoang, Hieu T. Nguyen, Thang N. Le

“…However, aggressive quantization significantly increases detection complexity&#x2014;particularly for high-order modulation schemes&#x2014;due to elevated noise and interference. …”
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A Novel Approach to Multi-Class Crack Classification: ResNet50 Enhanced with Squeeze-and-Excitation Blocks by Mazleenda Mazni, Abdul Rashid Husain, Devi Willieam Anggara, Mohd Ibrahim Shapiai, Riyadh Zulkifli, Munirah Onn

“…Unlike conventional models, which lack feature recalibration capabilities, the embedded SE block adaptively enhances channel-wise feature importance, significantly improving crack detection performance under complex conditions such as lighting variations and background noise. …”
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A Frequency-Aware Transformer for Multiscale Fault Diagnosis in Electrical Machines by Yurim Choi, Inwhee Joe

“…However, conventional fault diagnosis methods struggle to effectively capture complex time-frequency patterns, limiting their ability to perform early fault detection and accurate classification. …”
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A Multivariable Probability Density-Based Auto-Reconstruction Bi-LSTM Soft Sensor for Predicting Effluent BOD in Wastewater Treatment Plants by Wenting Li, Yonggang Li, Dong Li, Jiayi Zhou

“…The precise detection of effluent biological oxygen demand (BOD) is crucial for the stable operation of wastewater treatment plants (WWTPs). …”
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Research on recognition of diabetic retinopathy hemorrhage lesions based on fine tuning of segment anything model by Sujuan Tang, Qingwen Wu

“…Abstract Diabetic Retinopathy (DR) demands precise hemorrhage detection for early diagnosis, yet manual identification faces challenges due to hemorrhagic lesions’ varied sizes, complex shapes, and color similarities to surrounding tissues, which obscure boundaries and reduce contrast. …”
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Exploring cluster formation in uranium oxidation using high resolution X-ray spectroscopy at elevated temperatures by Elena F. Bazarkina, Stephen Bauters, Yves Watier, Stephan Weiss, Sergei M. Butorin, Kristina O. Kvashnina

“…Understanding its high-temperature behavior is crucial for developing new uranium-based materials and improving nuclear fuel efficiency in nuclear reactors. Here we study the evolution of uranium state during the oxidation of UO2 in air at temperatures up to 550 °C using the in situ X-ray absorption spectroscopy in high energy resolution fluorescence detection mode at the U M4 edge, combined with electronic structure calculations. …”
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Research on a traffic flow statistical algorithm based on YBOVDT and SAM2 by Yuanyuan Wang, Zheng Ding, Jiange Liu, Kexiao Wu, Md Sharid Kayes Dipu, Tingmei Ma, Yonghao Ma, Haiyan Zhang

“…The closed-set object detection algorithms they employ can only perform detections based on fixed categories, which leads to limited recognition scope and weak model generalization ability.Moreover, the tracking algorithms used are unstable and have low computational efficiency. …”
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Identification Method of Dynamic Propagation Process of Rock Fracture Based on Ground Penetrating Radar by CHEN Jun, ZHANG Bo, ZHUANG Xingyue, SONG Zhishu, ZHENG Jun

“…The localization errors for the endpoints of the horizontally propagating fractures are consistently below 2%, proving the reliability of this method for real-time monitoring and early warning of fracture propagation.In contrast, the vertical propagation of fractures presents a more complex scenario. When the fracture propagates upwards, the "shielding effect" caused by the overlying fracture significantly hinders the GPR signal's ability to detect the lower fracture tip. …”
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An approach to arousal disorder classification using deformable convolution and adaptive multiscale features in EEG signals by Andia Foroughi, Fardad Farokhi, Fereidoun Nowshiravan Rahatabad, Alireza Kashaninia

“…Our proposed model, a hierarchical multiscale deformable attention module, excels at detecting complex and abnormal patterns in EEG data. …”
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