PharmacoNER Tagger: a deep learning-based tool for automatically finding chemicals and drugs in Spanish medical texts by Jordi Armengol-Estapé, Felipe Soares, Montserrat Marimon, Martin Krallinger

“…In this work, we adapt an existing neural NER system, NeuroNER, to the particular domain of Spanish clinical case texts, and extend the neural network to be able to take into account additional features apart from the plain text. …”
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Experimental Investigation of Steady and Unsteady Flow Field Downstream of an Automotive Torque Converter Turbine and Stator by B. V. Marathe, B. Lakshminarayana

“…The experimental data were processed in the frequency domain by spectrum analysis and in temporal-spatial domain by ensemble averaging technique. …”
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Research on Non-Probabilistic Reliability Partitioning Methods for Large Workspace Robots by Jianping Sun, Weian Yang, Xin Meng, Jun Peng, Zhaoping Tang

“…The experimental results show that compared with the global compensation, the average values of the upper and lower limits of the x, y, and z direction error intervals of the partitioned compensation are reduced by 31.17%, 7.26%, 14.30%, 34.91%, 2.48%, and 35.82%, respectively, verifying that the method in this study can more accurately realize the partitioned categorization calibration and compensation of the robot, and effectively improve the reliability and spatial adaptability of parameter calibration and compensation of the robot in the full workspace domain. The reliability and spatial adaptability of the parameter calibration and compensation are effectively improved in the entire workspace domain of the robot.…”
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Orthogonal Wavelet Transform-Based Gaussian Mixture Model for Bearing Fault Diagnosis by Weipeng Li, Yan Cao, Lijuan Li, Siyu Hou

“…Orthogonal wavelet transform selects the appropriate orthogonal wavelet function to transform so that the local characteristics of the signal in the time domain and frequency domain can be specifically described and the feature information of the original data can be mastered more effectively. …”
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Distributed training of foundation models for ophthalmic diagnosis by Sina Gholami, Fatema-E Jannat, Atalie Carina Thompson, Sally Shin Yee Ong, Jennifer I. Lim, Theodore Leng, Hamed Tabkhivayghan, Minhaj Nur Alam

“…Here we propose a distributed deep learning framework that integrates self-supervised and domain-adaptive federated learning to enhance the detection of eye diseases from optical coherence tomography images. …”
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A systematic review of pathophysiological and psychosocial measures in adaptive sports and their implications for coaching practice by Junyan Liu, Hongjun Yu, W. Catherine Cheung, Adam Bleakney, Yih-Kuen Jan

“…Results: In the pathophysiological domain, effective coaching requires adaptive training programs tailored to address the specific physical and physiological challenges of athletes with disabilities. …”
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A Multi-Scale Convolutional Residual Time-Frequency Calibration Method for Low-Accuracy Air Pollution Data by Jiahao Liu, Fei Shi, Zhenhong Jia, Jiwei Qin

“…Additionally, the Frequency Enhanced Channel Attention Mechanism (FECAM) uses Discrete Cosine Transform (DCT) to convert time-domain data to frequency-domain, assigning weights to different frequency components to enhance key features and suppress irrelevant ones. …”
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3D Curvelet-Based Segmentation and Quantification of Drusen in Optical Coherence Tomography Images by M. Esmaeili, A. M. Dehnavi, H. Rabbani

“…Spectral-Domain Optical Coherence Tomography (SD-OCT) is a widely used interferometric diagnostic technique in ophthalmology that provides novel in vivo information of depth-resolved inner and outer retinal structures. …”
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Speech Enhancement Using Joint DNN-NMF Model Learned with Multi-Objective Frequency Differential Spectrum Loss Function by Matin Pashaian, Sanaz Seyedin

“…This approach maintains the spectrum variations of the objective signal in the frequency domain, which can effectively reduce the noise deterioration effects. …”
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Multi‐subband fusion algorithm based on autoencoder by Yilin Jiang, Liting Zhang, Li Li, Jinxin Li, Yaozu Yang

“…In contrast with the traditional all‐pole model and matrix pencil algorithm, the authors’ MSFAE directly processes the information in the frequency domain, avoiding the error of pole estimation in the echo domain. …”
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Passive Monitoring of Parkinson Tremor in Daily Life: A Prototypical Network Approach by Luc J. W. Evers, Yordan P. Raykov, Tom M. Heskes, Jesse H. Krijthe, Bastiaan R. Bloem, Max A. Little

“…To enable robust detection of tremor in the context of limited amounts of labeled training data, we propose to use prototypical networks, which can embed domain expertise about the heterogeneous tremor and non-tremor sub-classes. …”
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Interpretable DWT-1DCNN-LSTM Network for Power Quality Disturbance Classification by Shuangquan Yang, Tao Shan, Xiaomei Yang

“…This method effectively decomposes the time-domain signals into sub-signals in different frequency bands by employing the Discrete Wavelet Transform (DWT), which enhances the anti-interference capability of the classification model. …”
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Quality of Life Patients HIV Based on Characteristic, Duration of Diagnosis, and Types Antiretroviral (ARV) by Iftikar Salma Amelia, Laili Rahayuwati, Hasniatisari Harun, Kusman Ibrahim, Ayu Prawesti, Iqbal Pramukti

“…It was concluded that the quality of life of HIV patients at RSUD Sumedang, measured using EQ-5D-5L, is mostly good. The domain of anxiety/depression is the most problematic.…”
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Modelling and Experimental Investigation of an Active Damper by Rafael Luís Teixeira, Francisco Paulo Lépore Neto, José Francisco Ribeiro

“…The model parameters are identified by analysis in the frequency domain, using impulsive excitation force, for constant and variable orifice sizes. …”
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Peran Media Sosial dalam Transformasi Proses Pembelajaran dan Interaksi Sosial pada Generasi Digital by Abas Firdaus Basuni, Tutuk Ningsih

“…In the social domain, the shift to virtual interactions reduces emotional engagement, weakens interpersonal communication skills, and leads to social isolation and cyberbullying. …”
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Enhancing counterfeit RFID tag classification through distance based cognitive risk control by Haifeng Wu, Siyuan Wang, Chongrong Pu, Jun Ma, Yu Zeng

“…Beyond the enactment of cognitive risk control, this paper extends its focus to encompass enriched time domain and frequency domain feature extraction, totaling 104 features, aimed at further enhancing classification efficacy. …”
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Multi-modal feature fusion with multi-head self-attention for epileptic EEG signals by Ning Huang, Zhengtao Xi, Yingying Jiao, Yudong Zhang, Zhuqing Jiao, Xiaona Li

“…We proposed a multi-modal feature fusion (MMFF) method for epileptic EEG signals. First, the time domain features were extracted by kernel principal component analysis, the frequency domain features were extracted by short-time Fourier extracted transform, and the nonlinear dynamic features were extracted by calculating sample entropy. …”
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Structural modeling of NAD+ binding modes to PARP-1 by N. V. Ivanisenko, D. A. Zhechev, V. A. Ivanisenko

“…In this work using molecular modeling approaches we have predicted NAD+ binding modes with PARP-1 at the donor binding site of the catalytic domain. Using structures of PARP-1 homologs in complex with NAD+ we predicted pharmacophore restraints of NAD+ binding to PARP-1. …”
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Clinical Applications of Heart Rate Variability in the Triage and Assessment of Traumatically Injured Patients by Mark L. Ryan, Chad M. Thorson, Christian A. Otero, Thai Vu, Kenneth G. Proctor

“…The purpose of this paper is to describe the three analytical methods (time domain, frequency domain, and entropy) and specific clinical populations that have been evaluated in trauma patients and to identify key issues regarding HRV that must be explored if it is to be widely adopted for the assessment of trauma patients.…”
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Optimal downlink power allocation schemes for OFDM-NOMA-based Internet of things by Ya Gao, Fei Yu, Haoran Zhang, Yongpeng Shi, Yujie Xia

“…In the Internet of Things networks, ultra-dense networks and non-orthogonal multiple access technology have drawn extensive attention in recent years, because they can achieve multiplexing from the space domain and power domain. To improve the throughput of the system, this article combines non-orthogonal multiple access with ultra-dense networks technology and considers the orthogonal frequency division multiplexing non-orthogonal multiple access–based ultra-dense networks with multiple base stations and multiple Internet of Things devices. …”
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