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Essentials of Structural Equation Modeling

, 2018
Structural Equation Modeling is a statistical method increasingly used in scientific studies in the field of Social Sciences. Nowadays, it is a preferred analysis method especially in doctoral dissertations and academic researches. However, since most of the universities do not include this method in the curriculum of undergraduate and graduate courses,
openaire   +1 more source

Targeting transcription factors associated with hemoglobinopathies: Lessons from successful interventions and implications for cancer

Molecular Oncology, EarlyView.
This review summarizes the transcription factors, repressive chromatin‐modifying complexes, and epigenetic mechanisms that control fetal hemoglobin repression. Notably, many regulators of γ‐globin silencing also function in transcriptional and epigenetic networks that drive cancer, highlighting opportunities to translate advances in hemoglobinopathy ...
Meigen Yu, Puspa Das, Xing Zhang, Xiaodong Cheng   +3 more
wiley   +1 more source

CEACAM1 participation in breast cancer progression

Molecular Oncology, EarlyView.
In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin, Irina Kube‐Golovin, Anatolii Romaniuk, Gunther Wennemuth   +3 more
wiley   +1 more source

Unpacking teacher collaboration: validation of measurement models using exploratory structural equation modeling

Frontiers in Psychology
Teacher collaboration represents a key organizational feature of primary education, yet empirical research in the Nordic context has been limited by a lack of validated instruments capable of distinguishing between different forms of collaborative ...
Benjamin Waldejer, Maria Therese Jensen, Oddny Judith Solheim   +2 more
doaj   +1 more source

Establishing an assay to evaluate d‐amino acid oxidase enzyme kinetics and inhibition using WST‐8 redox dye

FEBS Open Bio, EarlyView.
This study investigated a novel WST‐8‐based assay for evaluating d‐Amino acid oxidase (DAO) inhibitors. We confirmed its effectiveness using known inhibitors and found that uremic toxins possess relatively weak inhibitory activity compared to existing drugs.
Kahoko Miyake, Yuki Enoki, Yuka Nakazawa, Kazuaki Taguchi, Kazuaki Matsumoto   +4 more
wiley   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

Commentary: Structural equation models and causal claims in soil science and biogeochemistry – An equation-free “how to”

Geoderma
Structural equation modeling (SEM) is a set of approaches that have seen exponential usage in the soil sciences as well as the related fields of agriculture and biogeochemistry. When correctly used and interpreted, SEM can be a powerful and flexible tool
Jordon Wade, Teal M. Potter, Andrew J. Margenot   +2 more
doaj   +1 more source

Suppression of lung adenocarcinoma migration through organelle alkalization by human lactoferrin – albumin fusion

FEBS Open Bio, EarlyView.
This paper reveals how human lactoferrin–albumin fusion (hLF‐HSA) potently suppresses lung adenocarcinoma cell migration. hLF‐HSA upregulates NHE7, leading to Golgi alkalization, disruption of the Golgi secretome, downregulation of MMP1, and reversal of EMT. These findings suggest a novel Golgi‐targeting strategy to suppress cancer cell migration.
Hana Nopia, Masahiro Kimura, Daisuke Kurimoto, Atsushi Sato   +3 more
wiley   +1 more source

Exploring determinants of VAT gaps using structural equation models: a MIMIC approach

European Journal of Government and Economics
This study explores the estimation of the VAT gap using the Multiple Indicators and Multiple Causes (MIMIC) model, a specific type of structural equation model. The VAT gap, a significant indicator of tax revenue loss and inefficiency in VAT collection,
Iva Hasíková
doaj   +1 more source

Molecular dynamics simulations of positively selected codons in FcγRI reveal novel biochemical binding properties

FEBS Open Bio, EarlyView.
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young, Omar Arias‐Gaguancela, Fiona Gibson, Morgan Grainger, Jodie Score, Amit Nathubhai, Mauricio Cafiero, Lee Richard Machado   +7 more
wiley   +1 more source