A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) / by Hair, Joseph F., Jr., 1944-, author 644188, Hult, G. Tomas M., author 209503, Ringle, Christian M., author 609755, Sarstedt, Marko, author 627541

Subjects: “…Least squares…”

Identifying the origin and contribution of surface storage in TiO2 (B) nanotube electrode by in situ dynamic valence state monitoring by Tang, Yuxin, Zhang, Yanyan, Malyi, Oleksandr I., Bucher, Nicolas, Xia, Huarong, Xi, Shibo, Zhu, Zhiqiang, Lv, Zhisheng, Li, Wenlong, Wei, Jiaqi, Srinivasan, Madhavi, Borgna, Armando, Antonietti, Markus, Du, Yonghua, Chen, Xiaodong

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No One Wants To Be A Parasitologist: The Shrinking Field of America's Least Favorite Animals by Richter, Hannah

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An incremental trust-region method for Robust online sparse least-squares estimation by Rosen, David Matthew, Kaess, Michael, Leonard, John Joseph

“…In this paper we present Robust Incremental least-Squares Estimation (RISE), an incrementalized version of the Powell's Dog-Leg trust-region method suitable for use in online sparse least-squares minimization. …”
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Mitigating quantization effects on distributed sensor fusion : a least squares approach by Zhu, Shanying, Chen, Cailian, Xu, Jinming, Guan, Xinping, Xie, Lihua, Johansson, Karl Henrick

“…To tackle this challenging issue, we introduce the notion of virtual measurements and propose a distributed solution LS-DSFS, which is a combination of a quantized consensus algorithm and the least squares approach. We provide detailed analysis of the LS-DSFS on its performance in terms of unbiasedness and mean square property. …”
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At-least-potentially-non-contrastive transcendence in Tanner’s God and Creation in Christian Theology by Davison, A

Optimizing hybrid energy systems for remote communities in Asia’s least developed countries by Prum, Mengly, Goh, Hui Hwang, Zhang, Dongdong, Dai, Wei, Kurniawan, Tonni Agustiono, Goh, Kai Chen

“…In least-developed countries (LDCs), electricity shortages are the primary barrier to economic and social growth. …”
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Utilization of biomass pectin polymer to build high efficiency electrode architectures with sturdy construction and fast charge transfer structure to boost sodium storage performance for NASICON-type cathode by Zhao, Jing, Yang, Xu, Zhang, Yu, Loh, Xian Jun, Hu, Xiaodong, Chen, Gang, Du, Fei, Yan, Qingyu

“…In addition, the construction of the conductive framework accelerates the fast transfer of the ion/electron, thereby giving rise to its enhanced rate capability. …”
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The yeast FIT2 homologs are necessary to maintain cellular proteostasis and membrane lipid homeostasis by Yap, Wei Sheng, Shyu Jr., Peter, Gaspar, Maria Laura, Jesch, Stephen A., Marvalim, Charlie, Prinz, William A., Henry, Susan A., Thibault, Guillaume

“…While LD biogenesis and basal endoplasmic reticulum (ER) stress-induced unfolded protein response (UPR) remain unaltered in ScFIT mutants, SCS3 was found to be essential for proper stress-induced UPR activation and for viability in the absence of the sole yeast UPR transducer IRE1 Owing to not having a functional UPR, cells with mutated SCS3 exhibited an accumulation of triacylglycerol within the ER along with aberrant LD morphology, suggesting that there is a UPR-dependent compensatory mechanism that acts to mitigate lack of SCS3 Additionally, SCS3 was necessary to maintain phospholipid homeostasis. …”
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Yeast9: a consensus genome-scale metabolic model for S. cerevisiae curated by the community by Zhang, Chengyu, Sánchez, Benjamín J., Li, Feiran, Cheng, Eiden Wei Quan, Scott, William T., Liebal, Ulf W., Blank, Lars M., Mengers, Hendrik G., Anton, Mihail, Rangel, Albert Tafur, Mendoza, Sebastián N., Zhang, Lixin, Nielsen, Jens, Lu, Hongzhong, Kerkhoven, Eduard J.

“…Genome-scale metabolic models (GEMs) can facilitate metabolism-focused multi-omics integrative analysis. Since Yeast8, the yeast-GEM of Saccharomyces cerevisiae, published in 2019, has been continuously updated by the community. …”
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One-Pass Learning via Bridging Orthogonal Gradient Descent and Recursive Least-Squares by Min, Youngjae

“…By doing so, we bridge two seemingly distinct algorithms in adaptive filtering and machine learning, namely the recursive least-squares (RLS) algorithm and orthogonal gradient descent (OGD). …”
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1H, 13C and 15N chemical shift assignments for the N-terminal PAS domain of the KCNH channel from Zebrafish by Kim, Young Mee, Li, Qingxin, Ng, Hui Qi, Yoon, Ho Sup, Kang, CongBao

“…The N-terminal region of the KCNH channel contains a Per-Arnt-Sim (PAS) domain which is important for the channel gating through interaction with other regions of the channel. …”
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Genetic, genomic and systems biology analysis of adaptive evolution of budding yeast to the deletion of essential genes by Liu, Gaowen

“…However previous studies in budding yeast challenged this view by showing that mutants deleted of essential or non-essential genes are capable of accumulating compensatory mutations and resume viability, suggesting that essentiality is not an intrinsic gene property but depends on the cellular capacity to evolve. …”
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Proteomics analysis of metabolically engineered yeast cells and medium-chained hydrocarbon biofuel precursors synthesis by Li, Xiang, Chen, Wei Ning

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Identifying antifungal resistance mechanisms and modes of action using SAturated Transposon Analysis in Yeast (SATAY) by Karadzas, M

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Active vibration control of flexible beam incorporating recursive least square and neural network algorithms. by Abd. Jalil, Nurhanafifi

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Measurement invariance of the higher-order model of Preschool Anxiety Scale (PAS) across child age, gender, parental anxiety, and pandemic period in England by Creswell, C, Reardon, T, Spence, S, Zhou, S

“…Although the PAS has been widely used to assess anxiety symptoms in young children, few studies have tested its measurement invariance for group comparisons. …”

Molecular characterization of Bacillus, lactic acid bacteria and yeast as potential probiotic isolated from fermented food by Cissé, Hama, Kagambèga, Boureima, Sawadogo, Adama, Tankoano, Abel, Sangaré, Gaston, Traoré, Yves, Ouoba, Irene, Savadogo, Aly

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Optimal leak factor selection for the output-constrained leaky filtered-input least mean square algorithm by Shi, Dongyuan, Lam, Bhan, Gan, Woon-Seng, Wen, Shulin

“…The leaky filtered-input least mean square (LFxLMS) algorithm is widely used in active noise control applications to minimize the degradation of attenuation performance due to output saturation distortion. …”
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Improved steganalysis technique based on least significant bit using artificial neural network for MP3 files / by Ala Abdulsalam Solyiman Alarood, 1977-, author 607354, Mohammed Jaffer Alhaddad, supervisor 607355, Azizah Abdul Manaf, supervisor 261203, Fakulti Kejuruteraan. Sekolah Komputeran 619086

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