-
The Science of the Total Environment Feb 2022The results of a global sensitivity and uncertainty analysis of a microalgae model applied to a Membrane Photobioreactor (MPBR) pilot plant were assessed. The main goals...
The results of a global sensitivity and uncertainty analysis of a microalgae model applied to a Membrane Photobioreactor (MPBR) pilot plant were assessed. The main goals of this study were: (I) to identify the sensitivity factors of the model through the Morris screening method, i.e. the most influential factors; (II) to calibrate the influential factors online or offline; and (III) to assess the model's uncertainty. Four experimental periods were evaluated, which encompassed a wide range of environmental and operational conditions. Eleven influential factors (e.g. maximum specific growth rate, light intensity and maximum temperature) were identified in the model from a set of 34 kinetic parameters (input factors). These influential factors were preferably calibrated offline and alternatively online. Offline/online calibration provided a unique set of model factor values that were used to match the model results with experimental data for the four experimental periods. A dynamic optimization of these influential factors was conducted, resulting in an enhanced set of values for each period. Model uncertainty was assessed using the uncertainty bands and three uncertainty indices: p-factor, r-factor and ARIL. Uncertainty was dependent on both the number of influential factors identified in each period and the model output analyzed (i.e. biomass, ammonium and phosphate concentration). The uncertainty results revealed a need to apply offline calibration methods to improve model performance.
Topics: Biomass; Microalgae; Photobioreactors; Uncertainty; Wastewater; Water Purification
PubMed: 34583072
DOI: 10.1016/j.scitotenv.2021.150504 -
Nucleic Acids Research May 2024Emerging evidence indicates that arginine methylation promotes the stability of arginine-glycine-rich (RGG) motif-containing RNA-binding proteins (RBPs) and regulates...
Emerging evidence indicates that arginine methylation promotes the stability of arginine-glycine-rich (RGG) motif-containing RNA-binding proteins (RBPs) and regulates gene expression. Here, we report that post-translational modification of FXR1 enhances the binding with mRNAs and is involved in cancer cell growth and proliferation. Independent point mutations in arginine residues of FXR1's nuclear export signal (R386 and R388) and RGG (R453, R455 and R459) domains prevent it from binding to RNAs that form G-quadruplex (G4) RNA structures. Disruption of G4-RNA structures by lithium chloride failed to bind with FXR1, indicating its preference for G4-RNA structure containing mRNAs. Furthermore, loss-of-function of PRMT5 inhibited FXR1 methylation both in vivo and in vitro, affecting FXR1 protein stability, inhibiting RNA-binding activity and cancer cell growth and proliferation. Finally, the enhanced crosslinking and immunoprecipitation (eCLIP) analyses reveal that FXR1 binds with the G4-enriched mRNA targets such as AHNAK, MAP1B, AHNAK2, HUWE1, DYNC1H1 and UBR4 and controls its mRNA expression in cancer cells. Our findings suggest that PRMT5-mediated FXR1 methylation is required for RNA/G4-RNA binding, which promotes gene expression in cancer cells. Thus, FXR1's structural characteristics and affinity for RNAs preferentially G4 regions provide new insights into the molecular mechanism of FXR1 in oral cancer cells.
PubMed: 38709899
DOI: 10.1093/nar/gkae319 -
Perspectives in Health Information... 2021This study described the results of online interprofessional education (IPE) between physical therapy and health information management students. Using the published...
This study described the results of online interprofessional education (IPE) between physical therapy and health information management students. Using the published (SPICE-R2) survey, this study measured changes in perception about IPE before and after three online interactions. Survey results included an overall score and three factors: Interprofessional Teamwork and Team-Based Practice (T), Roles/Responsibilities for Collaborative Practice (R), and Patient Outcomes from Collaborative Practice (O). Data were analyzed using two-way analysis of variance tests using time and program as factors. The overall scores improved significantly for time (ρ=.019). The T factor demonstrated a significant change for program (ρ=.006) and the R factor improved significantly over time (ρ=.005) and by program (ρ=.022). Narrative student comments focused on role and responsibility clarification, communication and coordination, and participation in a realistic experience involving multiple professions. The students believed that the experience was beneficial and important.
Topics: Adult; Attitude of Health Personnel; Communication; Cooperative Behavior; Education, Distance; Electronic Health Records; Female; Group Processes; Health Information Management; Humans; Interprofessional Education; Male; Physical Therapy Modalities; Problem-Based Learning; Professional Role; Young Adult
PubMed: 33633516
DOI: No ID Found -
Structure (London, England : 1993) May 2019The ability of proteins to adopt multiple conformational states is essential to their function, and elucidating the details of such diversity under physiological...
The ability of proteins to adopt multiple conformational states is essential to their function, and elucidating the details of such diversity under physiological conditions has been a major challenge. Here we present a generalized method for mapping protein population landscapes by NMR spectroscopy. Experimental NOESY spectra are directly compared with a set of expectation spectra back-calculated across an arbitrary conformational space. Signal decomposition of the experimental spectrum then directly yields the relative populations of local conformational microstates. In this way, averaged descriptions of conformation can be eliminated. As the method quantitatively compares experimental and expectation spectra, it inherently delivers an R factor expressing how well structural models explain the input data. We demonstrate that our method extracts sufficient information from a single 3D NOESY experiment to perform initial model building, refinement, and validation, thus offering a complete de novo structure determination protocol.
Topics: Algorithms; Allosteric Site; Computational Biology; Humans; Ligands; Magnetic Resonance Spectroscopy; Molecular Dynamics Simulation; Protein Conformation; Proteins; Software; Ubiquitin
PubMed: 30930065
DOI: 10.1016/j.str.2019.03.005 -
Journal of Affective Disorders Feb 2023Inconsistencies have been identified in the three-factor structure and item loadings of the most commonly used self-report hoarding screening tool, the Saving Inventory...
BACKGROUND
Inconsistencies have been identified in the three-factor structure and item loadings of the most commonly used self-report hoarding screening tool, the Saving Inventory - Revised (SI-R), which assesses difficulty discarding, clutter and acquisition. The current study aimed to confirm the factor structure of the SI-R using congeneric modelling, and evaluate the construct and content validity of this measure.
METHODS
139 participants with self-identified hoarding completed the SI-R. Congeneric structural equation modelling was then performed to validate the SI-R factor structure.
RESULTS
The three-factor structure of the SI-R was confirmed as a valid, reliable and good fitting model. However, the difficulty discarding and clutter subscales were required to covary.
CONCLUSIONS
The SI-R was confirmed as an appropriate screening tool for hoarding severity; however, revision of item wording may improve content validity. Future research could consider exploring the relationships between a range of hoarding-related constructs and the differential endorsement of SI-R subscales.
LIMITATIONS
As data were collected during the 2020 COVID-19 pandemic, panic buying and hoarding-related acquiring behaviours may have been exacerbated. In addition, the diagnostic status of participants was not verified, despite the inclusion of individuals endorsing clinically significant hoarding symptoms.
Topics: Humans; Pandemics; COVID-19; Hoarding Disorder; Self Report; Hoarding
PubMed: 36526114
DOI: 10.1016/j.jad.2022.12.013 -
The Science of the Total Environment Mar 2023Recent observations and climate change projections indicate that changes in rainfall energy, intensity, duration, and frequency, which determine the erosive power of...
Recent observations and climate change projections indicate that changes in rainfall energy, intensity, duration, and frequency, which determine the erosive power of rainfall, will amplify erosion rates around the world. However, the magnitude and scope of these future changes in erosive power of rainfall remain largely unknown, particularly at finer-resolutions and local scales. Due to a lack of available projected future sub-hourly climate data, previous studies relied on aggregates (hourly, daily) rainfall data. The erosivity for the southeastern United States in this study was calculated using the RUSLE2 erosivity calculation method without data limitation and a recently published 15-min precipitation dataset. This precipitation data was derived from five NA-CORDEX climate models' precipitation products under the Representative Concentration Pathway (RCP) 8.5 scenario. In this dataset, hourly climate projections of precipitation were bias-corrected and temporally downscaled to 15-min resolution for 187 locations with collocated 15-min precipitation observations. Precipitation, erosivity (R-factor), and erosivity density (ED) estimations were provided for historical (1970-1999) and future (2030-2059) time periods. Ensemble results for projected values (as compared to historical values) showed increase in precipitation, erosivity, and erosivity density by 14 %, 47 %, and 29 %, respectively. The future ensemble model showed an average annual R-factor of 11,237±1299 MJ mm hahyr. These findings suggest that changes in rainfall intensity, rather than precipitation amount, may be driving the change in erosivity. However, the bias correction and downscaling limitations inherent in the original precipitation dataset and this study's analyses obscured this particular result. In general, coastal and mountainous regions are expected to experience the greatest absolute increase in erosivity, while other inland areas are expected to experience the greatest relative change. This study offers a novel examination of projected future precipitation characteristics in terms of erosivity and potential future erosion.
PubMed: 36581281
DOI: 10.1016/j.scitotenv.2022.161119 -
Data in Brief Mar 2016The TNF family ligands B cell activation factor (BAFF) and a proliferation-inducing ligand (APRIL) modulate B cell function by forming homotrimers and heterotrimers. To...
The TNF family ligands B cell activation factor (BAFF) and a proliferation-inducing ligand (APRIL) modulate B cell function by forming homotrimers and heterotrimers. To determine the structure of a heterotrimer of BAFF and APRIL, these ligands were expressed as a single chain protein in HEK 293 cells, purified by affinity and size exclusion chromatographies, and crystallized. Crystals belonging to the orthorhombic crystal system with a space group of C2221 diffracted to 2.43 Å. Initial structural solution was obtained by the molecular replacement method, and the structure was further refined to an R factor of 0.179 and free R factor of 0.234. The atomic coordinates and structure factors have been deposited into the Protein Data Bank (accession code 4ZCH).
PubMed: 26870754
DOI: 10.1016/j.dib.2015.12.024 -
Acta Crystallographica Section B,... Oct 2023Five different electron density datasets obtained from conventional and synchrotron single crystal X-ray diffraction experiments are compared. The general aim of the...
Five different electron density datasets obtained from conventional and synchrotron single crystal X-ray diffraction experiments are compared. The general aim of the study is to investigate the quality of data for electron density analysis from current state-of-the-art conventional sources, and to see how the data perform in comparison with high-quality synchrotron data. A molecular crystal of melamine was selected as the test compound due to its ability to form excellent single crystals, the light atom content, and an advantageous suitability factor of 3.6 for electron density modeling. These features make melamine an optimal system for conventional X-ray diffractometers since the inherent advantages of synchrotron sources such as short wavelength and high intensity are less critical in this case. Data were obtained at 100 K from new in-house diffractometers Rigaku Synergy-S (Mo and Ag source, HyPix100 detector) and Stoe Stadivari (Mo source, EIGER2 1M CdTe detector), and an older Oxford Diffraction Supernova (Mo source, Atlas CCD detector). The synchrotron data were obtained at 25 K from BL02B1 beamline at SPring-8 in Japan (λ = 0.2480 Å, Pilatus3 X 1M CdTe detector). The five datasets were compared on general quality parameters such as resolution, ⟨I/σ⟩, redundancy and R factors, as well as the more model specific fractal dimension plot and residual density maps. Comparison of the extracted electron densities reveals that all datasets can provide reliable multipole models, which overall convey similar chemical information. However, the new laboratory X-ray diffractometers with advanced pixel detector technology clearly measure data with significantly less noise and much higher reliability giving densities of higher quality, compared to the older instrument. The synchrotron data have higher resolution and lower measurement temperature, and they allow for finer details to be modeled (e.g. hydrogen κ parameters).
PubMed: 37669152
DOI: 10.1107/S2052520623006625 -
International Journal of Law and... 2023The Italian mafia organizations represent a subculture with values, beliefs and goals that are antithetical to and undermining of the predominant society. The conduct of...
The Italian mafia organizations represent a subculture with values, beliefs and goals that are antithetical to and undermining of the predominant society. The conduct of individual members includes such extreme violence for material gain, it may at least superficially suggest a severe personality disorder. Since the first edition of the DSM and into the 21st century, various terms have been used, sometimes interchangeably, but over time inconsistently, to designate the mentality and practices of mafia members. Only recently has the psychology of mafia members become a focus of serious scientific study. Following broader national multicenter research, the present study aimed at investigating the possible differences in psychopathy between those mafia associates who had been convicted only of mafia association (Group A, bosses), and those who were also convicted of violent crimes (Group B, soldiers). The Psychopathy Checklist-Revised (PCL-R) was administered to n = 48 male inmates convicted of mafia association (M 45.0 years, SD 10.9, range 20-80 years); Group A consisted of n = 26 (54%) subjects, Group B n = 22 (46%). Most of the sample (73%) did not manifest psychopathy (PCL-R ≥ 25) nor Mann-Whitney U test disclosed significant differences in the total PCL-R scores between the study groups. We found significantly higher scores of PCR-R factor 1 (interpersonal / affective) in the members of the mafia association also convicted of violent crimes (PCL-R F1, group A: 5.8 ± 3.7; group B: 7.9 ± 3.5; p < 0.05), this difference appeared explainable on the basis of a higher component of affective psychopathy. These initial results add to the limited literature on mafia and psychopathy and seem to suggest the existence of a specific component of psychopathy in the subgroup of mafiosi with overtly violent conduct.
Topics: Humans; Male; Young Adult; Adult; Middle Aged; Aged; Aged, 80 and over; Socialization; Antisocial Personality Disorder; Violence; Personality Disorders; Aggression
PubMed: 37441856
DOI: 10.1016/j.ijlp.2023.101907 -
Assessment Apr 2019We examine the conceptual and empirical merits of concerns Flett et al. recently raised about the Almost Perfect Scale-Revised (APS-R), specifically that items on the...
We examine the conceptual and empirical merits of concerns Flett et al. recently raised about the Almost Perfect Scale-Revised (APS-R), specifically that items on the APS-R Discrepancy should be separated into a "Pure" Discrepancy factor and a Dissatisfaction factor. Limitations in the logic and findings of that critique are summarized. We replicate and extend Flett et al.'s study with results from two samples: (a) college freshmen STEM students ( N = 279) and (b) doctoral students in a national sample ( N = 529). Confirmatory factor analyses indicated that the alternative measurement models could be fit to the data, but were not practical improvements over the original APS-R factor model: Alternative discrepancy factors failed to demonstrate discriminant validity, nor did they have meaningfully different patterns of associations with numerous criterion variables (i.e., stress, emotion regulation, rumination, adult attachment, and life satisfaction). Thus, a data-based answer to the question of how perfectionistic discrepancy should be assessed is to stay the course with confidence using the original APS-R.
Topics: Adult; Factor Analysis, Statistical; Female; Humans; Male; Models, Psychological; Perfectionism; Personality Tests; Psychometrics; Reproducibility of Results; Students; Universities; Young Adult
PubMed: 28388855
DOI: 10.1177/1073191117702241