Battery energy storage selection based on a novel intermittent wind speed model for improving power system dynamic reliability by Liang, Chen, Wang, Peng, Han, Xiaoqing, Qin, Wenping, Jia, Yanbing, Yuan, Tiejiang

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Principled Exploration of Bipyridine and Terpyridine Additives to Promote Methylammonium Lead Iodide Perovskite Crystallization by Hartono, Noor Titan Putri, Ani Najeeb, Mansoor, Li, Zhi, Nega, Philip W., Fleming, Clare A., Sun, Xiaohe, Chan, Emory M., Abate, Antonio, Norquist, Alexander J., Schrier, Joshua, Buonassisi, Tonio

“…We present a systematic exploration of nine (9) bipyridine- and terpyridine-based additives selected from 29 candidates using high-throughput single-crystal growth. To combat selection bias and generate hypotheses for future experimental cycles of learning, we featurize candidate additives using Mordred descriptors and compare similarity metrics. …”
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Methodological, political and legal issues in the assessment of the effects of nanotechnology on human health by Schulte, Paul A, Riediker, Michael, Fatkhutdinova, Liliya, Bergamaschi, Enrico, Canu, Irina Guseva

“…Forming ENM worker cohorts from a combination of smaller cohorts and overcoming selection bias are also challenges. National or international registries for monitoring the exposures and health of ENM workers would be helpful for epidemiological studies, but the creation of such a registry and ENM worker cohorts will require political support and dedicated funding at the national and international levels. …”
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The GCSE attainment gap: assessing the influence of permanent school exclusion by Hills, Stephen, Walker, Matthew, Guinn, James, Kent, Aubrey

“…This is a critical limitation of the research due to the influence of confounding variables and sample selection bias. Using the National Pupil Database and a full cohort of UK pupils (N=590,092), our analysis tracked a sample of 1,490 pupils permanently excluded in year 11 of the English education system in 2018/19. …”
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Spoofing speech detection using temporal convolutional neural network by Xiao, Xiong, Li, Haizhou, Tian, Xiaohai, Chng, Eng Siong

“…Specifically, the proposed method brings a significant performance boost for the unit selection based spoofing speech detection.…”
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Phase measurements based indoor visible light positioning systems by Zhang, Sheng

“…We design the T-selection and the V-selection strategies using hybrid DPDOA and RSS measurements as fundamental positioning standard, and show that the T-selection based system outperforms the V-selection based system.…”
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Product review summarization by Lam, Wei Ren

“…Extractive approaches are often selection-based techniques where sentences of the resulting summary generated are directly selected from the dataset reviews. …”
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Optimisation strategies for directed evolution without sequencing by James, J, Towers, S, Foerster, J, Steel, H

“…We then expand our methods to the context of emerging experimental techniques in directed evolution, which allow for single-cell selection based on fitness objectives defined from any combination of measurable traits. …”

Tree-based Data Replay for More Efficient LLM Continual Learning by Bailey, Brian

“…Future research should explore data selection based on similarity metrics or automatic data categorization to enhance scalability and applicability.…”
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Variable selection in parametric and semiparametric models by Lin, Bingqing

“…Since the proposal of the least absolute shrinkage and selection operator (LASSO) (Tibshirani, 1996) and the smoothly clipped absolute deviation (SCAD) method (Fan and Li, 2001), there have been extensive developments on model selection based on penalized log-likelihood and the computational issues of solving these problems in linear models. …”
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Portfolio optimization with percentage error-based fuzzy random data for industrial production by Othman, Mohammad Haris Haikal, Arbaiy, Nureize, Che Lah, Muhammad Shukri, Lin, Pei-Chun

“…The main objective is to optimize selection based on industrial production, effectively managing uncertainty in traditional portfolio selection models. …”
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Large scale localization and mapping for deployment of robotic wheelchair in a building by Lim, Jit Ern

“…The sensor combination that created the best quality map is then changed to cheaper sensor subsets and compared among each other during localization to generate a guideline for sensor selection based on cost constraints and localization performance requirements. …”
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Extreme learning machine for classification and clustering on multiview data by Chen, Jichao

“…The thesis develops a clustering algorithm called unsupervised feature selection based extreme learning machine (UFS-ELM). The proposed algorithm first transfers the data into a hidden space with nonlinear feature mapping of the ELM. …”
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Searching for Strong Gravitational Lenses by Lemon, Cameron, Courbin, Frédéric, More, Anupreeta, Schechter, Paul, Cañameras, Raoul, Delchambre, Ludovic, Leung, Calvin, Shu, Yiping, Spiniello, Chiara, Hezaveh, Yashar, Klüter, Jonas, McMahon, Richard

“…To use the current lens samples for science, and for the design of future searches, we list several selection biases that exist due to these discovery techniques. …”
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The call to complain : antecedents to complaint behaviour (telecommunications industry). by Lim, An Qi., Ng, Shi Hui., Tan, Ming Hui.

“…A three stage reseach approach was adopted in this study, starting with a literature review on consumer complaint behaviour and its antecedents, which was followed by three focus group interviews on three different industries selected based on their relative importance to the Singapore market. …”
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A distributed control scheme of thermostatically controlled loads for the building-microgrid community by Wang, Yu, Tang, Yi, Xu, Yan, Xu, Yinliang

“…The control gains are selected based on a linear quadratic regulator approach to achieve optimal control performance. …”
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Isolation and screening of an extracellular organic solvent-tolerant protease producer by Geok, Lee Poh, Nyonya, Che, Razak, Abdul, Abd Rahman, Raja Noor Zaliha

“…This organic solvent-tolerant microorganism was found to be a polycyclic-aromatic-hydrocarbons (PAHs) degrader and identified as Pseudomonas aeruginosa strain K. It was selected based on the stability of its proteolytic enzyme in the presence of various organic solvents. …”
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Note : Lack of influence of adherent Lactobacillus isolates on the attachment of Escherichia coli to the intestinal epithelial cells of chicken in vitro by Jin, L.Z., Ho, Y.W., Abdullah, N., Ali, M.A.

“…Two Lactobacillus isolates, Lact. acidophilus I 26 and Lact. fermentum I 25, were selected, based on their poor aggregation with Escherichia coli and strong ability to adhere to ileal epithelial cells (IEC), to study in vitro interactions with E. coli O1: K1, O2: K1 and O78: K80 in an IEC radioactive- assay under the conditions of exclusion (lactobacilli and IEC, followed by the addition of E. coli), competition (lactobacilli, IEC and E. coli together) and displacement (E. coli and IEC, followed by the addition of lactobacilli). …”
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Computational screening of FDA-approved hepatitis c drugs for inhibition of VEGFR2 in liver cancer by Roney, Miah, Issahaku, Abdul Rashid, Tufail, Nasir, Wilhelm, Anke, Mohd Fadhlizil Fasihi, Mohd Aluwi

“…Compared to the control compound, two FDA-approved HCV drugs (DB09102 and DB09027) were selected based on their binding energies and interactions with the target protein, which showed comparable binding energies. …”
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Pareto Optimization to Accelerate Multi-Objective Virtual Screening by Fromer, Jenna C., Graff, David E., Coley, Connor W.

“…Inspired by prior work that uses active learning to accelerate the identification of strong binders, we implement multi-objective Bayesian optimization to reduce the computational cost of multi-property virtual screening and apply it to the identification of ligands predicted to be selective based on docking scores to on- and off-targets. …”
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