Development of a Model Mutagenesis System for Snapdragon by Zhaoyuan Lian, Heqiang Huo, Sandra B. Wilson, Jianjun Chen

“…For example, snapdragon pigmentation mutants produced by transposon (a type of mobile DNAs) mutagenesis have provided researchers a good way to study anthocyanin biosynthesis and subsequently aid plant breeders in developing new varieties with novel flower colors (Jackson et al. 1992). Furthermore, snapdragon has a mechanism by which transposable mutations can be regulated into active and inactive states through temperature control (Hashida et al., 2006). …”
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Development of a Model Mutagenesis System for Snapdragon by Zhaoyuan Lian, Heqiang Huo, Sandra B. Wilson, Jianjun Chen

“…For example, snapdragon pigmentation mutants produced by transposon (a type of mobile DNAs) mutagenesis have provided researchers a good way to study anthocyanin biosynthesis and subsequently aid plant breeders in developing new varieties with novel flower colors (Jackson et al. 1992). Furthermore, snapdragon has a mechanism by which transposable mutations can be regulated into active and inactive states through temperature control (Hashida et al., 2006). …”
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Examining the Control-Value Theory in the Field of Mathematics Academic Boredom in First-year High school Students by Fereshteh Salemi, Farzaneh Michaeli Manee, Ali Esazadegan

“…Data were collected using the questionnaires of academic boredom by Acee et al. (2010), academic control by Perry et al. (2001), academic motivation by Vallerand et al. (1992), educational value, academic self-efficacy by Owen and Fronman (1998), and self-regulated learning by Pintrich & De Groot (1990). …”
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“Diversity’s good unless you have a Southern accent, then you’re a hick”: Self-evaluation, linguistic insecurity and symbolic domination in Middle Tennessee by Marc-Philippe Brunet

“…The linguistic variety spoken in the south of the United States (Southern American English, hereafter SAE), is a well-documented field of investigation (Farington et al., 2018; Feagin, 2018; Fridland, 2003, 2008; Labov et al., 2006; Nunnally & Bailey, 2018; Reed, 2014). …”
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New Heuristics Method for Malicious URLs Detection Using Machine Learning by Maher Kassem Hasan

“…Random Forest models are found to be very robust and accurate according to Cui et al. and Vanhoenshoven et al., SVM models are evidenced to have very high accuracy according to Manjeri et al., Further works on deep learning models emphasized their potentials. …”
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Reflections from first-generation small-scale vegetable farmers by Richard Bloomfield, Deishin Lee

“…Only 8.5% of Canadian farmers were under 35 in the last Agricultural Census, compared to 20% in 1991, and that percentage has been declining steadily since 1931 (Clapp, 2023; Magnan et al., 2022; Qualman et al., 2018; Statistics Canada, 2006, 2022). …”
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Justified Suspicion: Symptomatic Syphilitic Alopecia in a Patient with Well-Controlled HIV by Robert Jame, Yousif Al-Saeigh, Leo L. Wang, Kevin Wang

“…An estimated 25% of primary and secondary syphilis, a sexually transmitted infection caused by the spirochete bacterium Treponema pallidum, occurs in patients coinfected with human immunodeficiency virus (HIV) (Chesson et al., 2005). This association is especially evident in men who have sex with men (MSM). …”
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Can ChatGPT be used as an education assistant in the field of health sciences? Examining with the integration of meta-analysis and co-citation analysis by Emrah Gökay Özgür, Nural Bekiroğlu

“…The most cited studies, namely Kung et al., Aidan et al., and Hopkins et al., intersect in one cluster. …”
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Investigation of the liquid-vapor equilibrium in the mixture of carbon dioxide and normal alkanes in binary systems using the Peng-Robinson equation of state modified with mixing r... by Ahad Khaghani, Mojtaba Saei Moghaddam, Mohammad Fani Kheshti

“…The classic van der Waals mixing rule with binary interaction parameters enhanced by the Jaubert et al. aggregation model is employed, along with the Wong-Sandler mixing rule as a G-Excess model to improve phase equilibrium calculations. …”
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Validation of the short form Compulsive Internet Use Scale in Students by Hassan Mahmoudian, abbas taghizade, Samira Golmirzaie

“…The present study aimed to determine the psychometric properties of the short form of the Compulsive Internet Use Scale developed by Gmel et al. (2019) among students in Tehran.Methods: This transcultural adaptation and psychometric study was carried out on 760 students from Tehran during the academic year 2021-2022, selected through convenience sampling, with 712 questionnaires deemed analyzable. the Compulsive Internet Use Scale developed by Gmel et al. (2019) comprising 8 self-report items employed. …”
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The amygdala and the pursuit of future rewards by S. Tobias Johnson, Fabian Grabenhorst

“…Here we review evidence from single-neuron recordings and neuroimaging studies that implicate the amygdala—a brain structure long associated with cue-reactivity and emotion—in decision-making and the planned pursuit of future rewards (Grabenhorst et al., 2012, 2016, 2019, 2023;Hernadi et al., 2015;Zangemeister et al., 2016). …”
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Similarities and differences between two Hungarian particles for also: szintén and is by Judit Farkas, Bettina Futó, Aliz Huszics, Judit Kleiber, Mónika Dóla, Gábor Alberti

“…We account for the pragmasemantic properties of the pragmatic-marker variant of is in the formal representational dynamic theory of interpretation called ReALIS, already presented in the LingBaW series (Alberti et al. 2016, Kleiber and Alberti 2017, Viszket et al. 2019). …”
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Fitting and comparison of calcium-calmodulin kinetic schemes to a common data set using non-linear mixed effects modelling. by Domas Linkevicius, Angus Chadwick, Guido C Faas, Melanie I Stefan, David C Sterratt

“…We address these three limitations of previous models by fitting the published calcium-calmodulin schemes to a common calcium-calmodulin data set comprising equilibrium data from Shifman et al. and dynamical data from Faas et al. Due to technical limitations, the amount of uncaged calcium in Faas et al. data could not be predicted with certainty. …”
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qPRF: A system to accelerate population receptive field modeling by Sebastian Waz, Yalin Wang, Zhong-Lin Lu

“…We introduce the qPRF (“quick PRF”), a system for accelerated PRF modeling that reduced the computation time by a factor >1,000 without losing goodness-of-fit when compared to another widely available PRF modeling package (Kay et al., 2013) on a benchmark of data from the Human Connectome Project (HCP; Van Essen et al. (2013). …”
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Effect of Physical Activity on Physical and Mental Health in Young Cancer Patients and Survivors: A Systematic Review of RCTs and CCTs by Ann Christin Schneider, Sofia Anzeneder, Lars Rehbein, Eva Katharina Brack, Mirko Schmidt, Valentin Benzing

“… Introduction Young cancer patients (YCP) face high risks of acute and long-term physical and mental health effects resulting from their malignancy and its treatment (Benzing et al., 2022; Siegwart et al., 2020). Physical activity (PA) is increasingly recognized as a strategy to address physical, mental, cognitive, and social challenges faced by YCP and survivors (Braam et al., 2016). …”
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GravIS: mass anomaly products from satellite gravimetry by C. Dahle, E. Boergens, I. Sasgen, I. Sasgen, T. Döhne, S. Reißland, H. Dobslaw, V. Klemann, M. Murböck, M. Murböck, R. König, R. König, R. Dill, M. Sips, U. Sylla, A. Groh, M. Horwath, F. Flechtner, F. Flechtner

“…</p> <p>The GravIS products, divided into several data sets corresponding to their specific application, are available at <a href="https://doi.org/10.5880/GFZ.GRAVIS_06_L2B">https://doi.org/10.5880/GFZ.GRAVIS_06_L2B</a> (Dahle and Murböck, 2019), <a href="https://doi.org/10.5880/COST-G.GRAVIS_01_L2B">https://doi.org/10.5880/COST-G.GRAVIS_01_L2B</a> (Dahle and Murböck, 2020), <a href="https://doi.org/10.5880/GFZ.GRAVIS_06_L3_ICE">https://doi.org/10.5880/GFZ.GRAVIS_06_L3_ICE</a> (Sasgen et al., 2019), <a href="https://doi.org/10.5880/COST-G.GRAVIS.5880/GFZ.GRAVIS_01_L3_ICE">https://doi.org/10.5880/COST-G.GRAVIS.5880/GFZ.GRAVIS_01_L3_ICE</a> (Sasgen et al., 2020), <a href="https://doi.org/10.5880/GFZ.GRAVIS_06_L3_TWS">https://doi.org/10.5880/GFZ.GRAVIS_06_L3_TWS</a> (Boergens et al., 2019), <a href="https://doi.org/10.5880/COST-G.GRAVIS_01_L3_TWS">https://doi.org/10.5880/COST-G.GRAVIS_01_L3_TWS</a> (Boergens et al., 2020a), <a href="https://doi.org/10.5880/GFZ.GRAVIS_06_L3_OBP">https://doi.org/10.5880/GFZ.GRAVIS_06_L3_OBP</a> (Dobslaw et al., 2019), and <a href="https://doi.org/10.5880/COST-G.GRAVIS_01_L3_OBP">https://doi.org/10.5880/COST-G.GRAVIS_01_L3_OBP</a> (Dobslaw et al., 2020a).…”
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Presenting the model of portfolio management in investment funds based on behavioral financial variables by Seyed Mohammad Hadi Shahamat, Mahdi Mohammad Bagheri, Ali Raispour Rajabali, Mohsen Zayandeh Roudi

“…The results obtained in this research is aligned and in the same direction with the results of Bennett et al, (2023), Fuladi et al, (2021), Keshavarz et al, (2021), Sajid (2021), Leković (2020), Lotfolah Hamdani (2020) and Asadi Qarajalo & Abdo Tabrizi (2019). …”
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