Thermally Stable Ag2Se Nanowire Network as an Effective In‐Materio Physical Reservoir Computing Device by Takumi Kotooka, Sam Lilak, Adam Z. Stieg, James K. Gimzewski, Naoyuki Sugiyama, Yuichiro Tanaka, Takuya Kawabata, Ahmet Karacali, Hakaru Tamukoh, Yuki Usami, Hirofumi Tanaka

“…As a hardware reservoir, the devices successfully performed waveform generation tasks. Finally, a voice classification by an in‐materio physical reservoir is achieved over 80%, comparable to an RC software simulation. …”
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Effect of different clay additions to concrete on its ultrasonic acoustic parameters and compressive strength by Wenxiang Wu, Shunchao Chen, Yong Wu, Xiangyang Zhang, Debiao Kong, Jifeng Wen

“…Specifically, as $$\:{\gamma\:}_{Mc}$$ increases, there is a non-linear relationship between compressive strength and $$\:{\gamma\:}_{Mc}$$ (R²=0.97); When $$\:{\gamma\:}_{Mc}$$ is greater than 10%, the sound velocity and sound time values change significantly, and both show linear and nonlinear relationships with the mud content; As $$\:{\gamma\:}_{Mc}$$ increases, the amplitude also exhibits a nonlinear relationship with $$\:{\gamma\:}_{Mc}$$ (R²=0.91);When $$\:{\gamma\:}_{Mc}$$ is greater than 20%, the frequency value changes significantly and shows a linear relationship with $$\:{\gamma\:}_{Mc}$$ (R²=0.95).In addition, concrete with higher mud content has a longer first wave period, larger waveform spacing, and faster signal attenuation.…”
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Role of Intraplate Strike-Slip Earthquakes in Accommodating Convergence Across the Eastern Himalayan Plate Boundary System by Dibyajyoti Chaudhuri, Rupak Banerjee, Ajay Kumar, Shubham Sharma, Supriyo Mitra

“…We model the source mechanisms of six recent moderate-to-strong intraplate earthquakes (5.0≤ Mw ≤6.7) using teleseismic P- and SH-waveform inversion and use source directivity and rupture back-projection, for the largest event, to isolate the fault plane. …”
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Functional Evaluation of the Visual Pathway in Patients with Multiple Sclerosis Using a Multifunction Stimulator Monitor by M. Satue, L. Jarauta, J. Obis, M. Cipres, M. J. Rodrigo, C. Almarcegui, I. Dolz, J. R. Ara, J. Martin, L. E. Pablo, E. Garcia-Martin

“…Patients with MS presented lower amplitude of the P100 waveform of the mfVEP in areas corresponding to central (p<0.001), inferonasal (p=0.001), and inferotemporal (p=0.003) retina. …”
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Intraoperative haemodynamic optimisation using the Hypotension Prediction Index and its impact on tissular perfusion: a protocol for a randomised controlled trial by Javier Ripollés-Melchor, Ane Abad-motos, Juan Victor Lorente, Ignacio Jimenez, Alejandra Becerra, Wilbert Wesselink, Francesca Reguant, Irene Mojarro, Maria de los Angeles Fuentes, Elizabeth Agudelo, Francisco Herrero-Machancoses, Paula Callejo, Joan Bosch, Manuel Ignacio Monge

“…The Hypotension Prediction Index (HPI) developed using machine learning techniques, allows the prediction of arterial hypotension analysing the arterial pressure waveform. The use of this index may reduce the duration and severity of intraoperative hypotension in adults undergoing non-cardiac surgery. …”
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Instantaneous self-recovery and ultra-low detection limit hydrogel electronic sensor for temporomandibular disorders intelligent diagnosis by Yujie Yan, Lixia Yu, Xuefeng Zhang, Qi Han, Zhixin Yang, Xingyuan Lu, Jiongke Wang, Hao Xu, Qianming Chen, Hang Zhao

“…Furthermore, a predictive model based on waveform features achieved 84.4% accuracy and 86% sensitivity, reducing dependence on physicians. …”
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Versatile parallel signal processing with a scalable silicon photonic chip by Shihan Hong, Jiachen Wu, Yiwei Xie, Xiyuan Ke, Huan Li, Linyan Lyv, Yingying Peng, Qingrui Yao, Yaocheng Shi, Ke Wang, Leimeng Zhuang, Pan Wang, Daoxin Dai

“…This design offers low loss, high scalability, and simplified control, enabling advanced functionalities such as accurate microwave reception, narrowband microwave photonic filtering, wide-bandwidth arbitrary waveform generation, and high-speed parallel optical computing without the need for tuning elements calibration. …”
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A Three-Stage-Concatenated Non-Linear MMSE Interference Rejection Combining Aided MIMO-OFDM Receiver and its EXIT-Chart Analysis by Jue Chen, Siyao Lu, Tsang-Yi Wang, Jwo-Yuh Wu, Chih-Peng Li, Soon Xin Ng, Robert G. Maunder, Lajos Hanzo

“…The demodulation reference signal of the 5G Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing (MIMO-OFDM) waveform has been designed for supporting Minimum Mean-Square Error-Interference Rejection Combining (MMSE-IRC) equalization, which has become the state-of-the-art, owing to its enhanced performance in the case of dense frequency reuse, which is typical in 5G. …”
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Electric field stimulation directs target-specific axon regeneration and partial restoration of vision after optic nerve crush injury. by Timothy Kim, Ege Iseri, Micalla G Peng, Sasha Medvidovic, Timothy Silliman, Pooyan Pahlavan, Gengle Niu, Connie Huang, Anahit Simonyan, Javad Pahnahad, Petcy Yao, Phillip Lam, Vahini Garimella, Mahnaz Shahidi, Michael S Bienkowski, Darrin J Lee, Biju Thomas, Gianluca Lazzi, Kimberly K Gokoffski

“…Stimulation was performed with asymmetric charged-balanced (ACB) waveforms that are safer than direct current and more effective than traditional, symmetric biphasic waveforms. …”
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Validity and Reliability of Upper Limb Functional Assessment Using the Microsoft Kinect V2 Sensor by Laisi Cai, Ye Ma, Shuping Xiong, Yanxin Zhang

“…Kinect V2 had good accuracy in measuring shoulder and elbow flexion/extension angular waveforms (CMC>0.87), moderate accuracy of measuring shoulder adduction/abduction angular waveforms (CMC=0.69-0.82), and poor accuracy of measuring shoulder internal/external angles (CMC<0.6). …”
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Compressed Sensing Based Fingerprint Identification for Wireless Transmitters by Caidan Zhao, Xiongpeng Wu, Lianfen Huang, Yan Yao, Yao-Chung Chang

“…The results show that the proposed method is more efficient for the identification of wireless transmitters with similar transient waveforms.…”
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Displacement Based Earthquake Early Warning Systems by Murat Doruk Şentürk, Bahadır Aktuğ

“…These results show that earthquake magnitudes based on GNSS waveforms provide high precision and their potential for use in earthquake early warning.…”
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Research on UAV Jamming Signal Generation Based on Intelligent Jamming by Haonan Xue, Zhihai Zhuo, Weihao Yan, Yuexia Zhang

“…These signals closely resemble the original communication waveforms. Simulation results show that, across different communication systems, the generated jamming signal waveforms exhibit strong similarity to the original signal waveforms. …”
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A Computational Model for Biomechanical Effects of Arterial Compliance Mismatch by Fan He, Lu Hua, Li-jian Gao

“…The results show that there are identical wall shear stress waveforms, wall stress, and strain waveforms at different locations. …”
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Performance analysis of a rate adaptive multi-band ultra-wideband system based on quadrature fractal modulation scheme

“…A rate adaptive multi-band ultra-wideband （UWB） system based on the quadrature fractal modulation （QFM） scheme was proposed.Exploring the use of homogeneous signals as modulating waveforms in UWB system,the signal within each 528MHz sub-band was divided into 8 different frequency bandwidths using wavelets transform and these data sequences to be transmitted were embedded into homogeneous waveforms.It is found that the use of homogeneous signals in such UWB system is quite feasible,leadings to a novel multi-rate diversity strategy.Within each 528MHz sub-band,the UWB-QFM system can provide much higher data rates than that of the UWB orthogonal frequency division multiplexing （OFDM） system.Simulation results also show that the bit error rate （BER） performance of the UWB-QFM system achieves a greatly improvement over existing UWB-OFDM system.Due to the fractal properties of the homogeneous signals,these data sequences to be transmitted can be recovered using arbitrarily short receiver signal.…”
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Physically Meaningful Surrogate Data for COPD by Harry J. Davies, Ghena Hammour, Hongjian Xiao, Patrik Bachtiger, Alexander Larionov, Philip L. Molyneaux, Nicholas S. Peters, Danilo P. Mandic

“…To ensure the faithfulness of our domain-aware COPD surrogates, the generated waveforms are examined through both flow waveforms and photoplethysmography (PPG) waveforms (as a proxy for intrathoracic pressure) in terms of duty cycle, sample entropy, FEV₁/FVC ratios and flow-volume loops. …”
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Performance analysis of K-nearest neighbor, support vector machine, and artificial neural network classifiers for driver drowsiness detection with different road geometries by Zhenlong Li, Qingzhou Zhang, Xiaohua Zhao

“…Second, six classifiers were constructed for six curve segments, respectively, while only one classifier was constructed for all straight segments because the waveforms by subtracting the road curvature from the steering angle in the curve segments were different from the waveforms of the straight segments. …”
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Monitoring Personalized Trait Using Oscillometric Arterial Blood Pressure Measurements by Young-Suk Shin

“…The representation of personalized traits with features from the oscillometric waveforms using LDA algorithm includes four phases. …”
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Automatic speech recognition predicts contemporaneous earthquake fault displacement by Christopher W. Johnson, Kun Wang, Paul A. Johnson

“…Abstract Significant progress has been made in probing the state of an earthquake fault by applying machine learning to continuous seismic waveforms. The breakthroughs were originally obtained from laboratory shear experiments and numerical simulations of fault shear, then successfully extended to slow-slipping faults. …”
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