Cohort profile: the multigeneration Respiratory Health in Northern Europe, Spain and Australia (RHINESSA) cohort by Thorarinn Gislason, Torben Sigsgaard, Vivi Schlünssen, Joachim Heinrich, Jesús Martínez-Moratalla, Øistein Svanes, Mathias Holm, Bertil Forsberg, Dan Norbäck, Rain Jogi, Kjell Torén, Deborah Jarvis, Magnus Ekström, Adrian Lowe, Caroline J Lodge, Michael Abramson, Shyamali Dharmage, Kathrine Pape, Cecilie Svanes, Gita Mishra, Caroline Lodge, Lyle Gurrin, Bruce Thompson, Eva Lindberg, Christer Janson, Simone Accordini, Ane Johannessen, Bryndis Benediktsdottir, Karl Franklin, Andrei Malinovschi, Anna Oudin, Francisco Gómez Real, José Luis Sánchez-Ramos, Lennart Bråbäck, Torgeir Storaas, Shanshan Xu, Julia Dratva, John Holloway, Jorunn Kirkeleit, Christine Cramer, Gro Tjalvin, Anne Mette Lund Würtz, Randi Jacobsen Bertelsen, Oskar Jõgi, Signe Timm, Francisco Javier Callejas, Raúl Godoy, Trude Duelien Skorge, Christine Drengenes, Nils Oskar Jõgi, Maryia Khomich, Toril Mørkve Knudsen, Ingrid Kuiper, Juan Pablo López-Cervantes, Marianne Lønnebotn, Shokouh Makvandi-Nejad, Antonio Pérez, Anders Røsland, Rajesh Shigdel, Svein Magne Skulstad, Kai Triebner, Hilde Vindenes, Jose Luis Sanchez, Jose Maldonado, David Martino, Jennifer Perret, Lucia Calciano, William Horsnell, Susanne Krauss-Etchmann

“…Research results suggest that parental environment years before conception, in particular, father’s exposures such as smoking and overweight, may be of key importance for asthma and lung function, and that there is an important susceptibility window in male prepuberty. Statistical analyses developed to approach causal inference suggest that these associations may be causal. …”
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Correlation between Endometrial Vascular Endothelial Growth Factor Expression and Pregnancy Outcome of Frozen–Thawed Embryo Transfer in Patients with Repeated Implantation Failure... by Rui Jin, Wenye Ma, Dawei Tang, Fang Liu, Gang Bai, Mengmeng Reng

“…VEGF levels were significantly lower during the implantation window stage (P<0.05). Conclusion. VEGF was expressed in planting window stage. …”
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Localization of the Vertical Part of the Facial Nerve in the High-Resolution Computed Tomography During Pediatric Cochlear Implantation by Mahmoud Mandour, Mohamed Amer, Saad Elzayat, Edoardo Covelli, Maurizio Barbara, Rasha Lotfy, Haitham H. Elfarargy, Mohamed Osama Tomoum

“…We also evaluated the implication of this proposed classification on the round window visibility during pediatric cochlear implantation (CI). …”
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Optimasi DF Berbasis Posisi Jendela Menggunakan Estetika Asimetris by Yose Rizal, Imam Robandi, Eko Mulyanto Yuniarno

“…The results of the study in the most optimal window position can be located at a distance of 23% from the width of the window opening wall area to the inner side of the window, where the weight factor value α = 0.5. …”
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Analysis and Prediction of Hydraulic Support Load Based on Time Series Data Modeling by Yi-Hui Pang, Hong-Bo Wang, Jian-Jian Zhao, De-Yong Shang

“…The results of single-point and multipoint prediction test with various sliding window values indicate that the sliding window method has no advantage in predicting the trend of the support load. …”
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Application of Improved Combined Deterministic-Stochastic Subspace Algorithm in Bridge Modal Parameter Identification by Peng Wen, Inamullah Khan, Jie He, Qiaofeng Chen

“…First of all, to realize the online tracking and identification process, it is necessary to divide the input and output signal of the nonlinear time-varying structure by windowing; for that, to determine the window function, window size and window step length according to the characteristics of the signal are analyzed. …”
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Bias Errors due to Leakage Effects When Estimating Frequency Response Functions by Andreas Josefsson, Kjell Ahlin, Göran Broman

“…Simple expressions are derived for a rectangular window and a Hanning window. The theoretical expressions are verified with numerical simulations and a very good agreement is found between the results from the proposed bias expressions and the empirical results.…”
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A Hierarchical Local-Sparse Model for Semantic Change Detection in Remote Sensing Imagery by Fachuan He, Hao Chen, Shuting Yang, Zhixiang Guo

“…The small window provides tightly related local information, while the larger window offers relevant but potentially more distant information, achieving a hierarchical processing of information from local to long-range. …”
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Klasifikasi Sinyal Phonocardiogram Menggunakan Short Time Fourier Transform dan Convolutional Neural Network by Muhammad Alwi Adnan Amal, Dodi Zulherman, Rahmat Widadi

“…Pengujian kinerja menggunakan variasi Hamming, Hann dan Blackman-Harris Window pada bagian ektraksi fitur dan variasi jumlah layer konvolusi pada bagian klasifikasi. …”
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Comparison of Memory Assignment Schemes for Switch Architectures with Shareable Parallel Memory Modules by Sanjeev Kumar, Alvaro Munoz

“…The two main classes of such architectures, namely, the Shared Multibuffer-(SMB-) based switch and the Sliding-Window-(SW-) based packet switch, both deploy parallel memory modules that are physically separate but logically connected. …”
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Fano factor estimation by Kamil Rajdl, Petr Lansky

“…Its standard estimator is the ratio of samplevariance to sample mean of spike counts observed in a time window and thequality of the estimator strongly depends on the length of the window. …”
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Biomechanical and clinically controlled study of different fenestration positions in vascularized iliac bone flaps for treating femoral head necrosis by Zeyu Wei, Zeping Lin, Jiale He, Yuxian Chen, You Peng, Zhiyong Li, Yunxiang Lu

“…Patients were divided into four groups using different femur fenestration positions as follows: center-window group (C-group), superior-window group (S-group), medial-window group (M-group), and inferior-window group (I-group). …”
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Using the Bayesian Model Averaging Approach for Genomic Selection by Considering Skewed Error Distributions by Azadeh Ghazanfari, Afshin Fayyaz Movaghar

“…Conclusion: The MC3 method performs better than Occam’s window in identifying the linear models with greater accuracy when dealing with skewed error distributions.…”
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Deep learning-based system for prediction of work at height in construction site by Ibrahim Karatas

“…A total of 45 analyses were conducted using DNN, CNN, and LSTM deep-learning models, with 5 different window sizes and 3 different overlap rates. The analysis revealed that the DNN model, utilizing a 1-s window size and a 75 % overlap rate, attained an accuracy of 94.6 % with a loss of 0.1445. …”
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Probing Scalar and Pseudoscalar Solutions to the g−2 Anomaly by Fayez Abu-Ajamieh

“…Part of the first open window is expected to be covered by the proposed NA64 experiment. …”
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Mechanisms of Hearing Loss in a Guinea Pig Model of Superior Semicircular Canal Dehiscence by Bu-Sheng Tong, Zi-Yu He, Chen-Ru Ding, Juan-Mei Yang, Jing Wang, Zhao Han, Yi-Bo Huang, Na Gao, Xian-Hao Jia, Fang-Lu Chi, Dong-Dong Ren

“…Energy leakage from the surgically introduced third window was detected in the range of 300–1500 Hz, accompanied by increased vibration at the umbo, stapes head, and the dehiscence site, while decreased vibration was observed at the round window membrane in the same frequency range. …”
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Energy-aware feature and classifier for behaviour recognition of laying hens in an aviary system by X. Yang, Q. Hu, L. Nie, C. Wang

“…The results indicated that performing denoise procedure before feature extraction can improve the classification accuracy by 10–20%. The 1-s window length yielded better accuracy than the 0.5-s window, especially for ingestive and walking behaviours. …”
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Collision Resolution Schemes with Nonoverlapped Contention Slots for Heterogeneous and Homogeneous WLANs by Raksha Upadhyay, Prakash D. Vyavahare, Sanjiv Tokekar

“…This paper proposes a class of collision resolution schemes for 802.11 having contention window control with nonoverlapped contention slots. …”
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Robust Wiener filter‐based time gating method for detection of shallowly buried objects by Ali Gharamohammadi, Fereidoon Behnia, Arash Shokouhmand, George Shaker

“…Basically, the problem with time gating method is that the length of the timing window for unknown targets cannot be determined accurately in advance. …”
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Employing Efficient Algorithms to Reduce the Distance Traveled in Location-Routing Problems Considering Travel and Service by Amir-Mohammad Golmohammadi, Alireza Goli, Hasan Rasay

“…The comparative results suggest the superiority of the MOICA algorithm for big-size problems.Originality/Value: Setting a time window to reduce the distance travelled by the vehicles gets the model close to real-world conditions. …”
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