Archibald Henry Sayce (1845–1933) and the Transition from 19th-Century Comparative Philology to 20th-Century General Linguistics by Subbiondo Joseph L., Kilarski Marcin

“…As an example of Sayce’s innovative contribution, we examine his theoretical and methodological principles, including the need for inductive generalizations based on large samples of data, the value of lesser-known languages as a window onto fundamental principles of language, and the status of linguistics vis-à-vis emerging fields of related study. …”
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Software-Defined Radio-Based IEEE 802.15.4 SUN OFDM Evaluation Platform for Highly Mobile Environments by Keito Nakura, Shota Mori, Hiroko Masaki, Hiroshi Harada

“…We applied a simplified universal time-domain windowed (UTW)-OFDM scheme to this platform to operate even at sub-1 GHz, where the spectrum mask is more limited. …”
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EUROPEAN UNION AFTER THE CRISIS: DECLIN OR RENAISSANCE? by O. V. Butorina

“…Further communitarization of the economic part of the EMU makes it more difficult for newcomers to join the euro area and practically closes this window of opportunity for the Great Britain. The crisis revealed the objective limits of EU enlargement, the accession of Turkey became hardly realistic, as well as the start of accession negotiations with Ukraine. …”
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Electrode Afterload: A Valuable Technique in a Case of Short Electrode Insertion by C. Riemann, S. Scholz, H. Sudhoff, I. Todt

“…A revision surgery was performed, where the first white marker of the electrode was seen in the round window (20 mm). The electrode was inserted 4 mm deeper into the cochlea. …”
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Utilizing MRAMs With Low Resistance and Limited Dynamic Range for Efficient MAC Accelerator by Sateesh, Kaustubh Chakarwar, Shubham Sahay

“…Although ultra-dense magnetic memories with multi-bit capability (MLC) were proposed recently, their application in hybrid CMOS-non-volatile memory accelerators is limited due to their low dynamic range (memory window) and high cell currents (ON/OFF-state resistance in ∼kΩ). …”
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Model independent bounds on heavy sterile neutrinos from the angular distribution of B → D* ℓν decays by Florian U. Bernlochner, Marco Fedele, Tim Kretz, Ulrich Nierste, Markus T. Prim

“…In particular, in the mass window here inspected, we obtain the most stringent bounds for vector and left-handed scalar operators to date.…”
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A robust, deep learning-based analysis of time-domain signals for NMR spectroscopy by Kyungdoe Han, Eunhee Kim, Kyoung-Seok Ryu, Donghan Lee

“…Researchers process FID using various techniques, such as phase correction, windowing, and FT, to enhance the interpretation of the obtained spectra. …”
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Semi-automated Generation of Geometric Digital Twin for Bridge Based on Terrestrial Laser Scanning Data by Kaixin Hu, Daguang Han, Guocheng Qin, Yin Zhou, Long Chen, Chunli Ying, Tong Guo, Yanhui Liu

“…First, an algorithm based on the combination of the iterative polynomial fitting curve and sliding window is developed to extract the arch ring accurately. …”
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Encrypted traffic classification method based on convolutional neural network by Rongna XIE, Zhuhong MA, Zongyu LI, Ye TIAN

“…Aiming at the problems of low accuracy, weak generality, and easy privacy violation of traditional encrypted network traffic classification methods, an encrypted traffic classification method based on convolutional neural network was proposed, which avoided relying on original traffic data and prevented overfitting of specific byte structure of the application.According to the data packet size and arrival time information of network traffic, a method to convert the original traffic into a two-dimensional picture was designed.Each cell in the histogram represented the number of packets with corresponding size that arrive at the corresponding time interval, avoiding reliance on packet payloads and privacy violations.The LeNet-5 convolutional neural network model was optimized to improve the classification accuracy.The inception module was embedded for multi-dimensional feature extraction and feature fusion.And the 1*1 convolution was used to control the feature dimension of the output.Besides, the average pooling layer and the convolutional layer were used to replace the fully connected layer to increase the calculation speed and avoid overfitting.The sliding window method was used in the object detection task, and each network unidirectional flow was divided into equal-sized blocks, ensuring that the blocks in the training set and the blocks in the test set in a single session do not overlap and expanding the dataset samples.The classification experiment results on the ISCX dataset show that for the application traffic classification task, the average accuracy rate reaches more than 95%.The comparative experimental results show that the traditional classification method has a significant decrease in accuracy or even fails when the types of training set and test set are different.However, the accuracy rate of the proposed method still reaches 89.2%, which proves that the method is universally suitable for encrypted traffic and non-encrypted traffic.All experiments are based on imbalanced datasets, and the experimental results may be further improved if balanced processing is performed.…”
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An Improved Deep Learning Network Structure for Multitask Text Implication Translation Character Recognition by Xiaoli Ma, Hongyan Xu, Xiaoqian Zhang, Haoyong Wang

“…The characteristics of the model determine that this method is not sensitive to the scale of the sliding window, so it performs better than the existing typical methods in retrieval tasks.…”
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Dynamic Transmission of Correlation between Investor Attention and Stock Price: Evidence from China’s Energy Industry Typical Stocks by Yajie Qi, Huajiao Li, Sui Guo, Sida Feng

“…In order to reproduce the dynamic transmission process of correlation at different cycles, sliding time window and complex network are applied. The results show that PetroChina and Sinopec stocks have a weakly negative correlation between investor attention and stock price from 2017 to 2018. …”
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ECG heartbeat classification using progressive moving average transform by Rabah Mokhtari, Samir Brahim Belhouari, Khelil Kassoul, Abderraouf Hocini

“…Abstract This paper presents the Progressive Moving Average Transform (PMAT), a novel signal transformation method for converting time-domain signals into 2D representations by progressively computing Moving Averages (MAs) with varying window sizes. The approach aims to enhance signal analysis and classification, particularly in the context of heartbeat classification. …”
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A SuperLearner-based pipeline for the development of DNA methylation-derived predictors of phenotypic traits. by Dennis Khodasevich, Nina Holland, Lars van der Laan, Andres Cardenas

“…<h4>Background</h4>DNA methylation (DNAm) provides a window to characterize the impacts of environmental exposures and the biological aging process. …”
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Multiscale Time-Frequency Sparse Transformer Based on Partly Interpretable Method for Bearing Fault Diagnosis by Shouquan Che, Jianfeng Lu, Congwang Bao, Caihong Zhang, Yongzhi Liu

“…Then, the novel encoder-decoder structure is presented, the multiple encoders are employed to extract the hidden feature of different time-frequency sequences obtained by STFT with different window widths, and the decoder is used to remap the deep information and connect to the classifier for discriminating fault types. …”
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Feature Extraction of Music Signal Based on Adaptive Wave Equation Inversion by Tianzhuo Gong, Sibing Sun

“…The preprocessing process usually includes antialiasing filtering, digitization, preemphasis, windowing, and framing. Songs in the popular wav format and MP3 format on the Internet are all songs that have been processed by digital technology and do not need to be digitalized. …”
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The Role of the P1 Latency in Auditory and Speech Performance Evaluation in Cochlear Implanted Children by Shan Xiong, Liwei Jiang, Yu Wang, Tao Pan, Furong Ma

“…The cortical auditory evoked potential (CAEP) provides a window into the development of the auditory cortical pathways. …”
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An atypical case of retinal pigment epithelium tear with remodeling and visual preservation by Charles Jit Teng Ong, Chui Ming Gemmy Cheung

“…At month 3, fundus autofluorescence (FAF) demonstrated hypo-autofluorescence while fundus fluorescein angiography (FFA) and ICGA showed a window defect corresponding to the area of RPE tear. …”
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Integrating fMRI spatial network dynamics and EEG spectral power: insights into resting state connectivity by Souvik Phadikar, Krishna Pusuluri, Armin Iraji, Vince D. Calhoun

“…We estimated time-resolved brain networks using sliding window-based spatially constrained independent component analysis (scICA), producing resting brain networks that evolved over time at the voxel level. …”
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Comparative study of crystallization kinetics and phase segregation of triple cation and methylammonium lead iodide perovskites on moisture probing using synchrotron X-ray based ra... by Miller Shatsala, Stellah Wanyonyi, Celline Awino, Maxwell Mageto, Hussein Golicha

“…The possible cause of this is hydrophilic bonds that form between the 3-CAT crystals and the small annealing window of the best composition perovskite (5% Cs+) film.…”
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How exchange symmetry impacts performance of collective quantum heat engines by Julia Boeyens, Benjamin Yadin, Stefan Nimmrichter

“…We find that collective work extraction can extend beyond the temperature window of three-level lasing, whereas in the lasing regime, individual may outperform collective operation. …”
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