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Journal articles on the topic 'Modeling growth of livers'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

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1

Naqvi, Sadaf Batool, and Abad A. Shah. "Modeling Historically mHealth Care Environments." International Journal of Reliable and Quality E-Healthcare 7, no. 3 (2018): 57–75. http://dx.doi.org/10.4018/ijrqeh.2018070104.

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This article describes how mobile health (mHealth) has grown from infancy stage to toddler stage due to advances in the technology. It has the potential for further growth as it is low-cost health care. For its further growth, it is necessary to widen its scope. In this article, a proposal is presented to develop a new and advanced mHealth care system, and its first step that is modelling is reported. In modelling, historically, a model of a temporal object system (TOS) is used. The model empowers users of the proposed mHealth care system to define, retrieve and manipulate all objects historic

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Campbell, Adrienne, Thiru Sivakumaran, Melanie Davidson, Michael Lock, and Eugene Wong. "Mathematical modeling of liver metastases tumour growth and control with radiotherapy." Physics in Medicine and Biology 53, no. 24 (2008): 7225–39. http://dx.doi.org/10.1088/0031-9155/53/24/015.

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Panchenko, Andrey, Yevgeniy Plakhov, Yekaterina Gubareva, Lyudmila Guzevatykh, K. Khitrin, and V. Balabanyan. "MODELING OF SOLID LIVER CANCER IN A RABBIT." Problems in oncology 63, no. 5 (2017): 785–91. http://dx.doi.org/10.37469/0507-3758-2017-63-5-785-791.

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Possibilities of the liver tumor modeling were assessed in rabbits of Soviet Chinchilla strain by implantation into the left lobe of the liver slices of squamous cell VX2 tumor obtained from donor rabbits inoculated with the tumor in the thigh muscles. The basic parameters of the model were established - the dynamics of tumor growth, inoculation rate, incidence of concomitant abdominal tumors. There was offered a method for minimally invasive monitoring of the development of the tumor after implantation to the liver by means of the level of venous blood granulocytes. It was found that the most

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Wong, Gordon Gaa Lam, Blair Gage, Mahmoud El-Maklizi, et al. "Modeling Clonal Hematopoiesis Due to Chromosome 13q Deletion in Human Hematopoietic Stem Cells." Blood 144, Supplement 1 (2024): 946. https://doi.org/10.1182/blood-2024-206253.

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Before diagnosis, a pre-leukemic state precedes leukemia, where a single mutated hematopoietic stem cell (HSC) with a competitive growth advantage expands clonally (termed clonal hematopoiesis (CH)). Autosomal mosaic chromosome alterations (mCAs) are common CH drivers but are unexplored mechanistically. Chromosome 13q deletion (13q-) is one of the most common mCAs, increasing leukemia risk 29.5-fold and chronic lymphocytic leukemia (CLL) 185-fold. We informatically determined that a 260kb region containing two lincRNAs, DLEU1 and DLEU2 is the 13q minimum deleted region (MDR). With CRISPR, the

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Bolinas, Dominic Karl M., Allan John R. Barcena, Archana Mishra, Marvin R. Bernardino, Steven Y. Huang, and Marites P. Melancon. "Abstract 120: Developing a novel intra-portal stem cell hydrogel carrier system for enhancing liver remnant hypertrophy and improving surgical eligibility for hepatocellular carcinoma: preclinical assessment in a murine model of portal vein blockade." Cancer Research 85, no. 8_Supplement_1 (2025): 120. https://doi.org/10.1158/1538-7445.am2025-120.

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Abstract Purpose: Hepatocellular carcinoma (HCC) is definitively treated with surgical resection of the affected lobe. However, 32% of patients are ineligible due to insufficient future liver remnant, which increases the risk of post-hepatectomy liver failure. To address this, portal vein blockade with mesenchymal stem cell (MSC) augmentation is used to induce pre-operative liver hypertrophy. However, 20-30% of patients fail to achieve adequate growth due to the rapid washout of MSCs from the liver. Therefore, we pioneered the use of hydrogels as stem cell carrier systems to enhance the retent

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MollaAli Farkhani, Shirin. "The Relationship Between Resilience and Mindfulness with Post-Traumatic Growth: The Mediating Role of Coping Styles in Women with Cancer." Psychology of woman journal 4, no. 2 (2023): 132–39. http://dx.doi.org/10.61838/kman.pwj.4.2.16.

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Objective: Cancer, as a major health challenge globally, affects millions of lives. The purpose of this study was to investigate the relationship between resilience and mindfulness with post-traumatic growth in women with cancer, considering the mediating role of coping styles. Methods and Materials: The research method was descriptive correlational modeling (structural equation modeling). Participants in this study were women with breast cancer visiting all treatment centers (hospitals, and private and public clinics) in Tehran, among whom 206 were selected conveniently. Data were collected u

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Youn, J. H., and R. N. Bergman. "Patterns of glycogen turnover in liver characterized by computer modeling." American Journal of Physiology-Endocrinology and Metabolism 253, no. 4 (1987): E360—E369. http://dx.doi.org/10.1152/ajpendo.1987.253.4.e360.

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We used a computer model of liver glycogen turnover to reexamine the data of Devos and Hers, who reported the time course of accumulation in and loss from glycogen of label originating in [1-14C]galactose injected at different times after the start of refeeding of 40-h fasted mice or rats. In the present study computer representation of individual glycogen molecules was utilized to account for growth and degradation of glycogen according to specific hypothetical patterns. Using this model we could predict the accumulation and localization within glycogen of labeled glucose residues and compare

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Skardal, Aleksander, Mahesh Devarasetty, Christopher Rodman, Anthony Atala, and Shay Soker. "Liver-Tumor Hybrid Organoids for Modeling Tumor Growth and Drug Response In Vitro." Annals of Biomedical Engineering 43, no. 10 (2015): 2361–73. http://dx.doi.org/10.1007/s10439-015-1298-3.

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Kitamura, Takayuki, Louis J. Ghosn, and Ryuichi Ohtani. "Stochastic Modeling of Crack Initiation and Short-Crack Growth Under Creep and Creep-Fatigue Conditions." Journal of Applied Mechanics 59, no. 2S (1992): S35—S42. http://dx.doi.org/10.1115/1.2899505.

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A simplified stochastic model is proposed for crack initiation and short-crack growth under creep and creep-fatigue conditions. Material inhomogeneity provides the random nature of crack initiation and early growth. In the model, the influence of microstructure is introduced by the variability of (1) damage accumulation along grain boundaries, (2) critical damage required for crack initiation or growth, and (3) the grain-boundary length. The probabilities of crack initiation and growth are derived by using convolution integrals. The model is calibrated and used to predict the crack density and

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Schönfeld, Sabrina, Alican Ozkan, Laura Scarabosio, Marissa Nichole Rylander, and Christina Kuttler. "Environmental stress level to model tumor cell growth and survival." Mathematical Biosciences and Engineering 19, no. 6 (2022): 5509–45. http://dx.doi.org/10.3934/mbe.2022258.

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<abstract><p>Survival of living tumor cells underlies many influences such as nutrient saturation, oxygen level, drug concentrations or mechanical forces. Data-supported mathematical modeling can be a powerful tool to get a better understanding of cell behavior in different settings. However, under consideration of numerous environmental factors mathematical modeling can get challenging. We present an approach to model the separate influences of each environmental quantity on the cells in a collective manner by introducing the "environmental stress level". It is an immeasurable aux

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HARLOW, D. GARY. "PROBABILITY VERSUS STATISTICAL MODELING: EXAMPLES FROM FATIGUE LIFE PREDICTION." International Journal of Reliability, Quality and Safety Engineering 12, no. 06 (2005): 535–50. http://dx.doi.org/10.1142/s0218539305002002.

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Probability analyses are increasingly being used for reliability and durability assessments for life prediction of engineered components and systems. Nevertheless, many of the current analyses are predominately statistical rather than probabilistic. Fatigue life prediction has historically been based on the safe-life or the crack growth approaches, both of which are empirically based. Consequently, they do not adequately reflect long-term operating conditions, or identify the sources and extent of their contributions to variability. A comparison between probability and statistical approaches f

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Liu, Shudong. "User Modeling for Point-of-Interest Recommendations in Location-Based Social Networks: The State of the Art." Mobile Information Systems 2018 (2018): 1–13. http://dx.doi.org/10.1155/2018/7807461.

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The rapid growth of location-based services (LBSs) has greatly enriched people’s urban lives and attracted millions of users in recent years. Location-based social networks (LBSNs) allow users to check-in at a physical location and share daily tips on points of interest (POIs) with their friends anytime and anywhere. Such a check-in behavior can make daily real-life experiences spread quickly through the Internet. Moreover, such check-in data in LBSNs can be fully exploited to understand the basic laws of humans’ daily movement and mobility. This paper focuses on reviewing the taxonomy of user

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Ferron, G., H. Karmaoui Idrissi, and A. Zeghloul. "A State Variable Modeling of Plasticity and Necking Under Uniaxial Tension." Journal of Engineering Materials and Technology 114, no. 4 (1992): 378–83. http://dx.doi.org/10.1115/1.2904188.

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Constitutive equations based on a state variable modeling of the thermo-viscoplastic behavior of metals are discussed, and incorporated in an exact, long-wavelength analysis of the neck-growth process in uniaxial tension. The general formalism is specialized to the case of f.c.c. metals in the range of intragranular, diffusion controlled plastic flow. The model is shown to provide a consistent account of aluminum behavior both under constant strain-rate and creep. Calculated uniaxial tensile ductilities and rupture lives in creep are also compared with experiments.

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Campbell, A., M. Davidson, M. Lock, and E. Wong. "Poster - Thurs Eve-04: Mathematical modeling of liver metastases tumour growth and control with radiotherapy." Medical Physics 35, no. 7Part2 (2008): 3402. http://dx.doi.org/10.1118/1.2965923.

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Rizaldi, Muhammad, Nurul Fitriyani, and Zulhan Widya Baskara. "Modeling of Economic Growth Rate in West Nusa Tenggara Province with Longitudinal Kernel Nonparametric Regression." EIGEN MATHEMATICS JOURNAL 7, no. 1 (2024): 50–55. http://dx.doi.org/10.29303/emj.v7i1.188.

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Economic growth can indicate the success of economic development in people's lives, so it is essential to study the relationship between economic growth and factors that affect economic growth. Regression analysis is one of the most widely used statistical data analysis methods to determine the relationship pattern between the independent and dependent variables. Three methods can be used to estimate the regression curve, one of which is nonparametric regression. Economic growth data is one form of longitudinal data, with observations of independent subjects, with each subject being observed r

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Younger, Nicholas T., Mollie L. Wilson, Anabel Martinez Lyons, et al. "In Vivo Modeling of Patient Genetic Heterogeneity Identifies New Ways to Target Cholangiocarcinoma." Cancer Research 82, no. 8 (2022): 1548–59. http://dx.doi.org/10.1158/0008-5472.can-21-2556.

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Abstract Intrahepatic cholangiocarcinoma (ICC) is an aggressive malignancy of the bile ducts within the liver characterized by high levels of genetic heterogeneity. In the context of such genetic variability, determining which oncogenic mutations drive ICC growth has been difficult, and developing modes of patient stratification and targeted therapies remains challenging. Here we model the interactions between rare mutations with more common driver genes and combine in silico analysis of patient data with highly multiplexed in vivo CRISPR-spCas9 screens to perform a functional in vivo study in

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Harlow, D. Gary. "Merging Data with Modeling: An Example from Fatigue." Materials 17, no. 14 (2024): 3383. http://dx.doi.org/10.3390/ma17143383.

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It is well known that errors are inevitable in experimental observations, but it is equally unavoidable to eliminate errors in modeling the process leading to the experimental observations. If estimation and prediction are to be done with reasonable accuracy, the accumulated errors must be adequately managed. Research in fatigue is challenging because modeling can be quite complex. Furthermore, experimentation is time-consuming, which frequently yields limited data. Both of these exacerbate the magnitude of the potential error. The purpose of this paper is to demonstrate a procedure that combi

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Begemann, Diane, Aida Javidan, Cynthia Dunn, et al. "Abstract 42: In vivo subcutaneous and orthotopic cancer xenograft modeling in the SRG immunodeficient rat." Cancer Research 83, no. 7_Supplement (2023): 42. http://dx.doi.org/10.1158/1538-7445.am2023-42.

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Abstract Human cancer xenografts are a vital tool for understanding tumor biology, growth kinetics, and therapeutic efficacy using animal models. Historically, immunodeficient mice have been the standard rodent species for cancer xenograft modeling. However, an immunodeficient rat that supports a wide variety of human cancer cell types would provide a larger rodent strain for easier surgical manipulation, serial blood sampling, and provide a single model in which efficacy, pharmacokinetics, and toxicology can be performed. We have created a Sprague Dawley Rag2 -/-, Il2rg -/- rat (SRGTM OncoRat

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Zheng, Yanan, Rajesh Narwal, Chaoyu Jin, et al. "Tumor kinetic modeling and identification of predictive factors for tumor response to durvalumab in patients with non-small cell lung cancer (NSCLC)." Journal of Clinical Oncology 35, no. 15_suppl (2017): 11555. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.11555.

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11555 Background: Durvalumab is a human monoclonal antibody that binds to PD-L1 and blocks its interaction with PD-1 and CD80. The primary objectives of this analysis were to describe the longitudinal tumor size profiles and identify the key factors predicting tumor growth and regression following durvalumab. Methods: Longitudinal tumor size data obtained from NSCLC patients in study 1108 (all lines of therapy) and ATLANTIC (third line and beyond) following durvalumab treatment were modeled using nonlinear mixed effect modeling. Tumor kinetics were described by four key parameters: tumor growt

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Ponamarev, V. S., and A. M. Lunegov. "The effect of a preparation based on secondary bile acids on the regeneration of the liver parenchyma in the modeling of toxic hepatitis." Agrarian science, no. 10 (January 12, 2022): 24–26. http://dx.doi.org/10.32634/0869-8155-2021-353-10-24-26.

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Relevance. When using rodents as biological models using hepatotoxicants of different structure and mechanism, it was noted that tissue repair plays a decisive role in determining the final result of toxicity. Tissue regeneration is a complex process driven by multilevel cellular signaling involving a number of chemokines, cytokines, growth factors and nuclear receptors leading to the expression of promitogenic genes and cell division. Tissue repair also includes regeneration of the liver’s extracellular matrix and angiogenesis, processes required to completely restore the structure and functi

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AMANOVA, SH. "MODELING OF URBAN LANDSCAPE (ON THE IMAGE OF THE CITIES OF THE MIL AND MUGAN PLAIN)." News of the Tula state university. Sciences of Earth 2, no. 1 (2023): 73–83. http://dx.doi.org/10.46689/2218-5194-2023-2-1-73-83.

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In the research work, the issues of modeling cities located on the Mil and Mugan plains were analyzed. These cities include Sabirabad, Saatly and Imishli. Only 3 % of the Earth is covered by cities. However, more than 50 % of the world's population lives in cities. Rapid population growth in cities makes their planning and modeling important. Therefore, our study is devoted to an actual problem. Goal. The main goal of our study is to study the development of cities and determine the correct management and modeling of them. Method. In the course of the study, for the first time in Azerbaijan, w

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Shestopaloff, Yuri K., and Ivo F. Sbalzarini. "A Method for Modeling Growth of Organs and Transplants Based on the General Growth Law: Application to the Liver in Dogs and Humans." PLoS ONE 9, no. 6 (2014): e99275. http://dx.doi.org/10.1371/journal.pone.0099275.

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Blencowe, Karunanayake, Wier, Hsu, and Yang. "Network Modeling Approaches and Applications to Unravelling Non-Alcoholic Fatty Liver Disease." Genes 10, no. 12 (2019): 966. http://dx.doi.org/10.3390/genes10120966.

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Non-alcoholic fatty liver disease (NAFLD) is a progressive condition of the liver encompassing a range of pathologies including steatosis, non-alcoholic steatohepatitis (NASH), cirrhosis, and hepatocellular carcinoma. Research into this disease is imperative due to its rapid growth in prevalence, economic burden, and current lack of FDA approved therapies. NAFLD involves a highly complex etiology that calls for multi-tissue multi-omics network approaches to uncover the pathogenic genes and processes, diagnostic biomarkers, and potential therapeutic strategies. In this review, we first present

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Gaugler, Joseph E., Leonard I. Pearlin, and Steven H. Zarit. "Family Involvement Following Institutionalization: Modeling Nursing Home Visits Over Time." International Journal of Aging and Human Development 57, no. 2 (2003): 91–117. http://dx.doi.org/10.2190/8mnf-qma3-a5tx-6qq3.

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Gerontological research has emphasized family members' continued involvement in the lives of loved ones following institutionalization. However, many of these studies are cross-sectional in design and do not ascertain how family members' visits change over time. The present study utilized a growth curve analysis to examine preplacement and postplacement predictors of nursing home visits over a two-year period among a sample of 65 caregivers of dementia patients. Intraindividual patterns of change suggested considerable heterogeneity in family visits. Several variables were also significantly p

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Joiner, Carstyn F., Gui Ma, Sydney Schjoneman, Patrick Colegrove, James Shull, and Wei Xu. "Abstract 3832: Modeling metastatic ER+ breast cancer in rats." Cancer Research 85, no. 8_Supplement_1 (2025): 3832. https://doi.org/10.1158/1538-7445.am2025-3832.

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Abstract Estrogen receptor-positive (ER+) breast cancer makes up over 70% of all breast cancer and is treated with frontline endocrine therapy. However, the five-year survival rate for metastatic patients is only 27%. At this stage, patients are treated with a combination of endocrine and CDK4/6 inhibitors (e.g., palbociclib), but the development of drug resistance often arises. Genetically engineered mouse models are largely ER-negative. We developed a first-in-class ER+ metastatic breast cancer rodent model to enable a mechanistic understanding of organotropism of metastasis and the developm

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Küçükköse, Emre, Balthasar A. Heesters, Julien Villaudy, et al. "Modeling resistance of colorectal peritoneal metastases to immune checkpoint blockade in humanized mice." Journal for ImmunoTherapy of Cancer 10, no. 12 (2022): e005345. http://dx.doi.org/10.1136/jitc-2022-005345.

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BackgroundThe immunogenic nature of metastatic colorectal cancer (CRC) with high microsatellite instability (MSI-H) underlies their responsiveness to immune checkpoint blockade (ICB). However, resistance to ICB is commonly observed, and is associated with the presence of peritoneal-metastases and ascites formation. The mechanisms underlying this site-specific benefit of ICB are unknown.MethodsWe created a novel model for spontaneous multiorgan metastasis in MSI-H CRC tumors by transplanting patient-derived organoids (PDO) into the cecum of humanized mice. Anti-programmed cell death protein-1 (

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Mhamdi, Hanen, Jérémie Bourdon, Abdelhalim Larhlimi, and Mourad Elloumi. "Bayesian Integrative Modeling of Genome-Scale Metabolic and Regulatory Networks." Informatics 7, no. 1 (2020): 1. http://dx.doi.org/10.3390/informatics7010001.

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The integration of high-throughput data to build predictive computational models of cellular metabolism is a major challenge of systems biology. These models are needed to predict cellular responses to genetic and environmental perturbations. Typically, this response involves both metabolic regulations related to the kinetic properties of enzymes and a genetic regulation affecting their concentrations. Thus, the integration of the transcriptional regulatory information is required to improve the accuracy and predictive ability of metabolic models. Integrative modeling is of primary importance

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Saraswati, Putri, Sofa Amalia, and Artiarini Puspita Arwan. "Forming and strengthening factors of personal growth initiatives in life." Jurnal Ilmiah Psikologi Terapan 11, no. 2 (2023): 137–44. http://dx.doi.org/10.22219/jipt.v11i2.25744.

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Personal Growth Initiative (PGI) helps individuals become mentally healthy because PGI is an active and consciousprocess by which individuals develop into better people. This study aims to determine the factors that form PGI in individuals at each stage of human development. The research subjects were 141 men and 256 women, taken by stratified random sampling. The research method used was a mixed method. Research data were collected using the PGI scale and analyzed using descriptive and correlational statistics; qualitative questions were analyzed using thematic analysis. Based on the results

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Castillo, Joseph J., David Jelinek, Hao Wei, et al. "The Niemann-Pick C1 gene interacts with a high-fat diet to promote weight gain through differential regulation of central energy metabolism pathways." American Journal of Physiology-Endocrinology and Metabolism 313, no. 2 (2017): E183—E194. http://dx.doi.org/10.1152/ajpendo.00369.2016.

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A genome-wide association study (GWAS) reported that common variation in the human Niemann-Pick C1 gene ( NPC1) is associated with morbid adult obesity. This study was confirmed using our BALB/cJ Npc1 mouse model, whereby heterozygous mice ( Npc1+/−) with decreased gene dosage were susceptible to weight gain when fed a high-fat diet (HFD) compared with homozygous normal mice ( Npc1+/+) fed the same diet. The objective for our current study was to validate this Npc1 gene-diet interaction using statistical modeling with fitted growth trajectories, conduct body weight analyses for different measu

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Urbanaviciute, Ieva, Shagini Udayar, Christian Maggiori, and Jérôme Rossier. "Precariousness Profile and Career Adaptability as Determinants of Job Insecurity: A Three-Wave Study." Journal of Career Development 47, no. 2 (2018): 146–61. http://dx.doi.org/10.1177/0894845318791777.

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The present study compares the mean levels and growth in job insecurity across employees’ precariousness profiles as defined by a combination of perceived employability and financial difficulties. Drawing on the labor market precariousness and workplace stress literature, we hypothesized that employees with the most precarious profile would report elevated levels of job insecurity followed by a growth trend. Moreover, career adaptability was expected to act as a resource for counteracting job insecurity. The study was based on three waves of a longitudinal “Professional Paths” survey (National

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Amoah, John, Jaroslav Belás, Khurram Ajaz Khan, and Zdenko Metzker. "Antecedents of Sustainable SMEs in the Social Media Space: A Partial Least Square-Structural Equation Modeling (PLS-SEM) Approach." Management & Marketing. Challenges for the Knowledge Society 16, no. 1 (2021): 26–46. http://dx.doi.org/10.2478/mmcks-2021-0003.

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Abstract Social media has become explosive, permeating every sphere of the socio-cultural lives of individuals and businesses, and causing nations to technologically evolve. The dramatic growth in the adoption and use of social media has become beneficial to Small and Medium Enterprises (SMEs), significantly contributing to resolving a nagging challenge of effectively advertising their goods and services. Consequently, SMEs can achieve business growth and sustainability through increased adoption and harnessing the opportunities provided through the use of social media. The COVID-19 pandemic h

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Song, Yoo-Kyung, Yun-Hwan Seol, Min Ju Kim, et al. "Pharmacokinetic Characterization of Supinoxin and Its Physiologically Based Pharmacokinetic Modeling in Rats." Pharmaceutics 13, no. 3 (2021): 373. http://dx.doi.org/10.3390/pharmaceutics13030373.

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Supinoxin is a novel anticancer drug candidate targeting the Y593 phospho-p68 RNA helicase, by exhibiting antiproliferative activity and/or suppression of tumor growth. This study aimed to characterize the in vitro and in vivo pharmacokinetics of supinoxin and attempt physiologically based pharmacokinetic (PBPK) modeling in rats. Supinoxin has good permeability, comparable to that of metoprolol (high permeability compound) in Caco-2 cells, with negligible net absorptive or secretory transport observed. After an intravenous injection at a dose range of 0.5–5 mg/kg, the terminal half-life (i.e.,

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Pavithran, Induja, and R. I. Sujith. "Extreme COVID-19 waves reveal hyperexponential growth and finite-time singularity." Chaos: An Interdisciplinary Journal of Nonlinear Science 32, no. 4 (2022): 041104. http://dx.doi.org/10.1063/5.0081231.

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Coronavirus disease 2019 (COVID-19) has rapidly spread throughout our planet, bringing human lives to a standstill. Understanding the early transmission dynamics of a wave helps plan intervention strategies such as lockdowns that mitigate further spread, minimizing the adverse impact on humanity and the economy. Exponential growth of infections was thought to be the defining feature of an epidemic in its initial growth phase. Here we show that, contrary to common belief, early stages of extreme COVID-19 waves have an unbounded growth and finite-time singularity accompanying a hyperexponential

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Varghese, Divya S., Thilina Thejinda Alawathugoda, and Suraiya A. Ansari. "Fine Tuning of Hepatocyte Differentiation from Human Embryonic Stem Cells: Growth Factor vs. Small Molecule-Based Approaches." Stem Cells International 2019 (January 22, 2019): 1–18. http://dx.doi.org/10.1155/2019/5968236.

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Human embryonic stem cells (hESCs) are being utilized in diverse areas of studies such as development and disease modeling, cell replacement therapy, or drug toxicity testing because of their potential to be differentiated into any cell type in the body. The directed differentiation of hESCs into hepatocytes could provide an invaluable source of liver cells for various liver-based applications. Therefore, several protocols have been established in the past for hESC-hepatocyte differentiation based on the knowledge of signaling pathways and growth factors involved in different stages of embryon

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Rahmayanty, Dinny, Nur Hasanah Harahap, Ermida Lestari, Khairani Khofifah, and Nurhadi Saputra. "The Importance of Parents as Modeling in The Formation of Children's Character." International Research-Based Education Journal 6, no. 1 (2023): 103. http://dx.doi.org/10.17977/um043v6i1p103-109.

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Family is the first and main forum that greatly influences the determination of a family's future. Overall, the family environment is a place and container for the growth and development of children (family members), where the family has a big factor in forming a child's soul and character, therefore it is necessary to create a positive environmental atmosphere by instilling the principles of moral values in life. a child in the family environment carried out by every family member, especially parents. Parents have a very important role in shaping a child's character. As the main role models i

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Shabanpour, Mohamed. "Modeling Underdog Entrepreneurs Journey in Iran: A Mixed Method Approach." Mapta Journal of Mechanical and Industrial Engineering (MJMIE) 5, no. 2 (2021): 52–65. http://dx.doi.org/10.33544/mjmie.v5i2.184.

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The term underdog entrepreneur (UE) is increasingly used among scholars to discuss successful disabled, immigrant, and necessity entrepreneurs who encounter significant challenges in their early lives. However, their characteristics and business obstacles in emerging economies remain unclear. This research offers insights by answering two questions: (1) how do physical, socio-cultural, and economic challenges motivate underdog individuals to become entrepreneurs? And (2) what are UEs’ unique challenges following establishing their ventures in Iran? First, this research develops a theoretical m

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Gladys Gnana Kiruba B. and Debi Prasanna Acharjya. "Behavioural Intention of Customers Towards Smartwatches in an Ambient Environment Using Soft Computing." International Journal of Ambient Computing and Intelligence 11, no. 2 (2020): 80–111. http://dx.doi.org/10.4018/ijaci.2020040105.

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The growth of new technologies and ambient intelligence is an emerging technology that enhances our life by adding sensors and networks. Ambient technology is a revolution on smart devices that makes human life efficient. Smartwatches are one that provides flexibility in people's daily lives by adopting sensing and reasoning of their activities and the surrounding environment. Analyzing a customer's behaviour towards smartwatches that use ambient intelligence is a critical issue. This article analyses the behavioural intention of customer satisfaction towards smartwatch users in an ambient env

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Nilsson, Avlant, Jurgen R. Haanstra, Martin Engqvist, et al. "Quantitative analysis of amino acid metabolism in liver cancer links glutamate excretion to nucleotide synthesis." Proceedings of the National Academy of Sciences 117, no. 19 (2020): 10294–304. http://dx.doi.org/10.1073/pnas.1919250117.

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Many cancer cells consume glutamine at high rates; counterintuitively, they simultaneously excrete glutamate, the first intermediate in glutamine metabolism. Glutamine consumption has been linked to replenishment of tricarboxylic acid cycle (TCA) intermediates and synthesis of adenosine triphosphate (ATP), but the reason for glutamate excretion is unclear. Here, we dynamically profile the uptake and excretion fluxes of a liver cancer cell line (HepG2) and use genome-scale metabolic modeling for in-depth analysis. We find that up to 30% of the glutamine is metabolized in the cytosol, primarily

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Gonçalves, R. S. R., B. Jacob-Furlan, P. A. S. Silva, et al. "MATHEMATICAL MODELING AND SIMULATION OF BATCH REGIME FOR IMMOBILIZED MICROALGAE PHOTOBIOREACTOR FOR EFFLUENT TREATMENT." Revista de Engenharia Térmica 22, no. 2 (2023): 01. http://dx.doi.org/10.5380/reterm.v22i2.91753.

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The increase of wastewater follows the expansion of the world population generating a deficit in basic sanitation and in the sewage collection provided. It is widely known that the United Nations (UN) instituted the 2030 Agenda, a plan for the sustainability of the planet, improvement of people's lives and world prosperity. There are 17 Sustainable Development Goals (SDGs) in the 2030 Agenda. We highlight the SDG 6: “Clean water and sanitation”, which is aimed at basic sanitation and access to drinking water. Currently, the treatment system is divided into three stages: primary, secondary and

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Troiano, E., A. P. Parker, and J. H. Underwood. "Mechanisms and Modeling Comparing HB7 and A723 High Strength Pressure Vessel Steels." Journal of Pressure Vessel Technology 126, no. 4 (2004): 473–77. http://dx.doi.org/10.1115/1.1811108.

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HB7, an ultra-clean, high strength pressure vessel steel manufactured in France, is compared to A723 steel. This steel, suggested as an improved pressure vessel material is currently being proposed for critical applications, and will likely be used more frequently as design engineers discover its capabilities. This paper includes comparisons of strength, fracture toughness, fatigue properties and composition of the two steels, followed by an in-depth comparison and modeling of environmental cracking resistance, Bauschinger-modified residual stresses and fatigue lives. Results indicate that in

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Patel, Snehal S., Richa Tripathi, Vishal K. Chavda, and Jignasa K. Savjani. "Anticancer Potential of Mefenamic Acid Derivatives with Platelet-Derived Growth Factor Inhibitory Property." Anti-Cancer Agents in Medicinal Chemistry 20, no. 8 (2020): 998–1008. http://dx.doi.org/10.2174/1871520620666200415100614.

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Background: Numerous studies suggest that non-steroidal anti-inflammatory drugs reduce cancer cell proliferation, progression, angiogenesis, apoptosis, and invasiveness. Objective: The current study focuses on the evaluation of novel mefenamic acid derivatives for the treatment of hepatocellular carcinoma. Methods: Derivatives were subjected to molecular modeling for prediction of pharmacological activity using software, followed by synthesis and in vitro assay. In in vivo study, disease was induced with N-Nitrosodiethylamine followed by 2-acetylaminofluorene orally for 2 weeks. After 12 weeks

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Zhang, Haowei, and Yuhe Xie. "Research on the Future Stability of Lamprey Based on Balanced Ecosystems." Transactions on Environment, Energy and Earth Sciences 2 (September 25, 2024): 108–16. http://dx.doi.org/10.62051/wp4js202.

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Lamprey is an ancient jawless fish known for its parasitic lifestyle. It has a unique ability to adjust gender ratios according to the environment and has had a profound impact on aquatic ecosystems. This interesting behavior, an adaptive and survival dance, invites us to delve deeper into the lives of these ancient creatures. The method used in this article simulates various aquatic habitats during a hypothetical period, including complex food chain interactions, availability of natural resources, population growth rate, and gender ratio of lamprey populations, among other key variables. This

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Chen, Shuai, Yinwei Ma, Zhongshu Wang, Minjing Liu, and Zhanjun Wu. "Fatigue Crack and Residual Life Prediction Based on an Adaptive Dynamic Bayesian Network." Applied Sciences 14, no. 9 (2024): 3808. http://dx.doi.org/10.3390/app14093808.

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Monitoring the health status of aerospace structures during their service lives is a critical endeavor, aimed at precisely evaluating their operational condition through observation data and physical modeling. This study proposes a probabilistic assessment approach utilizing Dynamic Bayesian Networks (DBNs), enhanced by an improved adaptive particle filtering technique. This approach combines physical modeling with various predictive sources, encompassing cognitive uncertainties inherent in stochastic predictions and crack propagation forecasts. By employing crack observation data, it facilita

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Shestopaloff, Yuri K. "Method for Finding Metabolic Properties Based on the General Growth Law. Liver Examples. A General Framework for Biological Modeling." PLoS ONE 9, no. 6 (2014): e99836. http://dx.doi.org/10.1371/journal.pone.0099836.

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Lum, Yimin, and Chen-Wei Chang. "Modeling User Participation in Facebook Live by Applying the Mediating Role of Social Presence." Information 15, no. 1 (2023): 23. http://dx.doi.org/10.3390/info15010023.

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The rapid development of mobile Internet technology has brought about the flourishing growth of social media live streaming. This study employs social presence theory as the primary framework to investigate the impact of Facebook Live’s features of sociality, immediacy, and entertainment on users’ sense of presence. These features were then considered within the dimensions of awareness, emotion, and cognition. The influence of social presence on user engagement behaviors was divided into browsing behavior, interactive behavior, and creative behavior. Using snowball sampling, an online survey w

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Ahmad, Rizwan, Balawant Kumar, Raju Lama Tamang, et al. "Colonoscopy-based intramucosal transplantation of cancer cells for mouse modeling of colon cancer and lung metastasis." BioTechniques 71, no. 3 (2021): 456–64. http://dx.doi.org/10.2144/btn-2020-0172.

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The conventional orthotopic/xenograft models or genetically engineered murine models of colon cancer (CRC) are limited in their scope for a true understanding of tumor growth, progression and eventual metastasis in its natural microenvironment. In the currently used murine models of CRC metastasis, the metastasis occurs primarily in the liver, though lung metastasis accounts for a significant proportion of CRC metastasis. There is an urgent need for a murine model of CRC, which not only allows tumor progression in the colonic mucosa but also metastasis of the lung. The authors describe a minim

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Singh, Jitendra, Maninder Singh Arora, Sunil Sharma, and Jang B. Shukla. "Modeling the variable transmission rate and various discharges on the spread of Malaria." Electronic Research Archive 31, no. 1 (2022): 319–41. http://dx.doi.org/10.3934/era.2023016.

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<abstract><p>Natural and household discharges are the natural breeding grounds of various mosquito species, including female <italic>Anopheles</italic> mosquitoes, which transmit the <italic>Plasmodium</italic> parasite, causing the spread of the life-threatening disease malaria. Apart from that, population migrations also have a substantial impact on malaria transmission, claiming about half a million lives every year around the world. To assess the effects of the cumulative density of households and other natural discharges, and emigration-dependent intera

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Azam, Afshan. "The Effect of Utilitarian Website Features on Online Saudi Arabia Consumers Loyalty in the Case of Online Flight Booking." International Journal of E-Business Research 12, no. 4 (2016): 57–75. http://dx.doi.org/10.4018/ijebr.2016100104.

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The last couple of decades have witnessed rapid technological advancements, which have consequently caused dramatic changes in the lives of consumers and their purchase behavior. Of the many causes of the rapid growth of Internet use in the last few decades, most researchers confer that the critical contribution has been the growth of Web content. This paper attempts to report a study investigating the impact of utilitarian website features on Saudi Arabian customer loyalty for booking flights online. Data collected from 340 respondents were used to test the hypotheses. Structural Equation Mod

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Malpica-Cruz, Luis, Sharon Z. Herzka, Oscar Sosa-Nishizaki, and Juan Pablo Lazo. "Tissue-specific isotope trophic discrimination factors and turnover rates in a marine elasmobranch: empirical and modeling results." Canadian Journal of Fisheries and Aquatic Sciences 69, no. 3 (2012): 551–64. http://dx.doi.org/10.1139/f2011-172.

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There are very few studies reporting isotopic trophic discrimination factors and turnover rates for marine elasmobranchs. A controlled laboratory experiment was conducted to estimate carbon and nitrogen isotope trophic discrimination factors and isotope turnover rates for blood, liver, muscle, cartilage tissue, and fin samples of neonate to young-of-the-year leopard sharks ( Triakis semifasciata ). Trophic discrimination factors varied (0.13‰–1.98‰ for δ13C and 1.08‰–1.76‰ for δ15N). Tissues reached or were close to isotopic equilibrium to the new diet after about a threefold biomass gain and

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Chen, Yu-Hsu, Yuan-Hao Ku, Kuo-Cheng Wang, et al. "Bioinspired Sandcastle Worm-Derived Peptide-Based Hybrid Hydrogel for Promoting the Formation of Liver Spheroids." Gels 8, no. 3 (2022): 149. http://dx.doi.org/10.3390/gels8030149.

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The generation of hepatic spheroids is beneficial for a variety of potential applications, including drug development, disease modeling, transplantation, and regenerative medicine. Natural hydrogels are obtained from tissues and have been widely used to promote the growth, differentiation, and retention of specific functionalities of hepatocytes. However, relying on natural hydrogels for the generation of hepatic spheroids, which have batch to batch variations, may in turn limit the previously mentioned potential applications. For this reason, we researched a way to establish a three-dimension

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