Large-scale database analysis of anomalous thermal conductivity of quasicrystals and its application to thermal diodes by Takashi Kurono, Jinjia Zhang, Yasushi Kamimura, Keiichi Edagawa

“…In fact, several quasicrystals ranked nearly first among more than 10,000 samples of various materials (metallic alloys, semiconductors, ceramics, etc.) in terms of the magnitude of the positive temperature coefficient of thermal conductivity. …”
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Multivariate temperature-series analysis of stress-induced ferroelectricity in SrTiO3: a machine learning approach with K-shape clustering and hierarchical Bayesian estimation by Hirotaka Manaka, Kensei Toyoda, Yoko Miura

“…The spatial distribution of the temperature-series data for each of the 42,280 pixels was clustered using the multivariate [Formula: see text]-shape clustering method based on the shape similarity of the temperature dependence. …”
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Feature extraction and spatial imaging of synchrotron radiation X-ray diffraction patterns using unsupervised machine learning by Kentaro Kutsukake, Takefumi Kamioka, Kota Matsui, Ichiro Takeuchi, Takashi Segi, Takuo Sasaki, Seiji Fujikawa, Masamitu Takahasi

“…Non-negative matrix factorization (NMF), an unsupervised machine learning method, was performed on 961 patterns obtained by spatial mapping of micro-beam X-ray diffraction measurements. …”
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Starrydata: from published plots to shared materials data by Yukari Katsura, Masaya Kumagai, Tomoya Mato, Yu Takada, Yuki Ando, Erina Fujita, Fumikazu Hosono, Eiji Koyama, Farhan Mudasar, Ton Nu Thanh Phuong, Naoto Saito, Yoshihiro Sakamoto, Atsumi Tanaka, Dewi Yana, Kaoru Kimura, Koji Tsuda, Masahiko Demura

“…It assists users worldwide in extracting and sharing curve data from plot images in published papers, along with relevant sample information such as chemical compositions and fabrication methods. …”
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CobDiffMRI: a cross-conditional diffusion model for removing artefacts in undersampled magnetic resonance imaging by Jingyu Wang, Sen Dong

“…Existing methods still have various limitations in image fidelity and dependence on full sampled acquisition. …”
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Monitoring a keystone species (Alosa pseudoharengus) with environmental effects: A comparison with direct capture and environmental DNA. by Matthew M Dougherty, Andrew MacDonald, Geneva York, David M Post

“…Another method, environmental DNA (eDNA), has emerged as a more cost and time efficient supplement to traditional monitoring methods. …”
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Comparison of exposure assessment models, expert judgment and Bayes analysis, in Prediction of the tile industry respiratory exposures by MJ Zare Sakhvidi, H Mihanpoor, H Falahzadeh, M Mostaghaci, GH Halvani, F Samouri

“…There was no difference between direct sampling and MEASE variability. Use of SSA as a prior in Bayesian analysis gives more conservative than MEASE method (category 4: 0.74 vs. 0.54) Discussion: SSA is a good choice as a prior distribution in Bayesian analysis. …”
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Fishy Business—Assessing the Efficacy of Active and Passive eDNA to Describe the Fish Assemblage of a River in Southwestern Western Australia to Support Effective Monitoring by Emma R. Stevens, Josephine Hyde, Leah S. Beesley, Daniel C. Gwinn, Suzanne Thompson, Lenore Morris, Paige R. Wilson, Deirdre B. Gleeson

“…We used the fitted model to compare capture probabilities among sampling methods and reveal the sampling effort required to describe the species assemblage. …”
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DRCO: Dense-Label Refinement and Cross Optimization for Semi-Supervised Object Detection by Yunlong Qin, Yanjun Li, Feifan Ji, Yan Liu, Yu Wang, Ji Xiang

“…In this work, we first experimentally point out the shortcomings of current dense pseudo-labeling methods: 1) Low-quality sampling: the fixed threshold strategies can result in numerous false negatives and false positives. 2) Inconsistency between classification scores and localization quality: classification scores cannot represent localization quality, resulting in poor quality of predicted bounding boxes for sampled positive samples. 3) Suboptimal training approach: current training methods only utilize its knowledge from the perspective of final dense pseudo-labels, failing to fully exploit the teacher model. …”
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Small-holder Goat Farmer Profile Demographic-based on Financial Aspect in Majene Regency, West Sulawesi Province by Muhammad Iqbal Rivai, Tanrigiling Rasyid

“…The sampling method used the limited population formula, resulting in 123 farmers. …”
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阶次跟踪在齿轮箱噪声源识别上的应用 by 崔砚宏, 叶文龙, 黄林

“…The principle and re-sampling method of order tracking analysis are discussed.Then two analysis methods,steady state method and transient method are used to identify the main noise sources of the gearbox.By comparing the results,it shows that order tracking method in noise source identification of rotating machine is convenient and efficient,and has more advantage than the traditional spectrum analysis.…”
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A Two-Step Approach to Uncertainty Quantification of Core Simulators by Artem Yankov, Benjamin Collins, Markus Klein, Matthew A. Jessee, Winfried Zwermann, Kiril Velkov, Andreas Pautz, Thomas Downar

“…The XSUSA approach, which is based on the SUSA code package, is fundamentally a stochastic sampling method. Alternatively, the two-step method utilizes generalized perturbation theory in the first step and stochastic sampling in the second step. …”
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Benchmarking uncertainty quantification for protein engineering. by Kevin P Greenman, Ava P Amini, Kevin K Yang

“…Our results indicate that there is no single best UQ method across all datasets, splits, and metrics, and that uncertainty-based sampling is often unable to outperform greedy sampling in Bayesian optimization. …”
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Robust modeling and planning of radio-frequency identification network in logistics under uncertainties by Bowei Xu, Junjun Li, Yongsheng Yang, Octavian Postolache, Huafeng Wu

“…In robust particle swarm optimization, a sampling method, the sampling size of which varies with iterations, is put forward to improve the robustness of robust particle swarm optimization within limited sampling size. …”
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Determining the Performance Quality of Combine Harvesters Operating by M. E. Chaplygin, E. V. Zhalnin

“…A limited number of samplers were installed in the field and a method for sampling grain losses from working units of a combine harvester based on the developed sampler was applied. …”
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Spatial Distribution of Domestic Violence in Kermanshah City by zhila ghazvineh, bagher saroukhani, Alieh shekarbigi

“…The Third method is the inverse sampling method. In Inverse Sampling, sample selection continues until a certain condition is established. …”
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Pengaruh Budaya Organisasi dan Komitmen Organisasi terhadap Working Engagement PT Bank Mandiri by Hairul Hairul, Hana R.G Panggabean

“…For further research, it is advisable to conduct a similar study on a larger population and combine quantitative and qualitative research methods. Suggestions for companies are to adjust programs and work environments that need to be more casual, such as changes in the workspace that is no longer cubicle, flexible working hours, and open communication between supervisors and subordinates.…”
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Comparison of ANN and XGBoost surrogate models trained on small numbers of building energy simulations. by Sanja Stevanović, Husain Dashti, Marko Milošević, Salem Al-Yakoob, Dragan Stevanović

“…Two sampling methods and two machine learning models are compared here. …”
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Microplastics in freshwater sediment in the Indo-Sri Lankan region: a review of methodologies by Dilki T. Lakchani, Asanka Jayasinghe, R. A. Maithreepala, Uta Ulrich, France Collard

“…Many different methods, from sampling to analyses were identified. …”
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ANALISIS KUALITAS PRODUK SEPATU TOMKINS by Ria Arifianti

“…It means clarity the use c-chart of which method more effectively done than used by firm.…”
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