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A method for identifying the structure of nonlinear polynomial dynamic models is presented. This approach uses an evolutionary algorithm, genetic programming, in a multiobjective fashion to generate global models which describe the dynamic behavior of the nonlinear system under investigation. The validation stage of system identification is simultaneously evaluated using the multiobjective tool, in order to direct the identification process to a set of global models of the system. Index Terms--Gas turbine engine, genetic programming (GP), multiobjective optimization, nonlinear system identification.

The article presents a study which examines the association of pediatric-onset multiple sclerosis (MS) patients with social cognitive deficits. Facial affect recognition of participants with pediatric-onset MS compared to a group of age- and gender matched healthy controls was measured on Theory of Mind (ToM) task performance. The study concludes that social cognition may represent an area of cognitive functioning that MS has affected in the pediatric-onset population.

Nine brands of tobacco cigarettes manufactured and distributed in the Mexican market were analyzed by γ-spectrometry to certify their non-artificial radioactive contamination. Since natural occurring radioactive materials (NORM) 40K, 232Th, 235U, and 239U (and decay products from the latter three nuclides) are the main sources for human radiation exposure, the aim of this work was to determine the activity of 40K and potassium concentration. Averages of 40K and potassium concentration were of 1.29±0.18 Bq·g−1, and 4.0±0.57%. The annual dose equivalents to the whole body from ingestion and inhalation of 26 Bq 40K were 0.23 μSv and 15.8 μSv, respectively. The corresponding 50 years committed dose equivalents was 0.23 μSv. The total committed dose to the lungs due to inhalation of 40K in tobacco was 16 μSv. Potassium concentrations obtained in this work were in the same range of those obtained by INAA, so showing that the used technique is acute, reproducible, and accessible to laboratories equipped with low background scintillation detectors. [ABSTRACT FROM AUTHOR]

Abstract Background Chromosomal Comparative Genomic Hybridization (CGH) has been applied to all stages of cervical carcinoma progression, defining a specific pattern of chromosomal imbalances in this tumor. However, given its limited spatial resolution, chromosomal CGH has offered only general information regarding the possible genetic targets of DNA copy number changes. Methods In order to further define specific DNA copy number changes in cervical cancer, we analyzed 20 cervical samples (3 pre-malignant lesions, 10 invasive tumors, and 7 cell lines), using the GenoSensor microarray CGH system to define particular genetic targets that suffer copy number changes. Results The most common DNA gains detected by array CGH in the invasive samples were located at the RBP1-RBP2 (3q21-q22) genes, the sub-telomeric clone C84C11/T3 (5ptel), D5S23 (5p15.2) and the DAB2 gene (5p13) in 58.8% of the samples. The most common losses were found at the FHIT gene (3p14.2) in 47% of the samples, followed by deletions at D8S504 (8p23.3), CTDP1-SHGC- 145820 (18qtel), KIT (4q11-q12), D1S427-FAF1 (1p32.3), D9S325 (9qtel), EIF4E (eukaryotic translation initiation factor 4E, 4q24), RB1 (13q14), and DXS7132 (Xq12) present in 5/17 (29.4%) of the samples. Conclusion Our results confirm the presence of a specific pattern of chromosomal imbalances in cervical carcinoma and define specific targets that are suffering DNA copy number changes in this neoplasm.

Abstract Background Cervical carcinoma (CC) is one of the most common cancers among women worldwide and the first cause of death among the Mexican female population. CC progression shows a continuum of neoplastic transitions until invasion. Matrix metalloproteinases (MMPs) and cathepsins play a central role on the enhancement of tumor-induced angiogenesis, cell migration, proliferation, apoptosis and connective tissue degradation. MMPs -2 and -9 expression has been widely studied in cervical cancer. Nevertheless, no other metalloproteinases or cathepsins have been yet related with the progression and/or invasion of this type of cancer. Methods Three HPV18 CC cell lines, two HPV16 CC cell lines and three HPV16 tumor CC tissues were compared with three morphologically normal, HPV negative, cervical specimens by cDNA arrays. Overexpression of selected genes was confirmed by end point semiquantitative reverse transcription-PCR with densitometry. In situ hybridization and protein expression of selected genes was further studied by means of two tissue microarrays, one consisting of 10 HSIL and 15 CC and the other one of 15 normal cervical and 10 LSIL tissues. Results TIMP1, Integrins alpha 1 and 4, cadherin 2 and 11, Cathepsins F, B L2, MMP 9, 10 11 and 12 were upregulated and Cathepsin S, L, H and C, Cadherins 3 and 4, TIMP3, MMP 13, Elastase 2 and Integrin beta 8 were found to be downregulated by cDNA arrays. Endpoint RT-PCR with densitometry gave consistent results with the cDNA array findings for all three genes selected for study (CTSF, MMP11 and MMP12). In situ hybridization of all three genes confirmed overexpression in all the HSIL and CC. Two of the selected proteins were detected in LSIL, HSIL and CC by immunohistochemistry. Conclusion Novel undetected CC promoting genes have been identified. Increased transcription of these genes may result in overexpression of proteins, such as CTSF, MMP11 and MMP12 which could contribute to the pathogenesis of CC.

Zachary Boswell,1 Jacopo Umberto Verga,1,2 James Mackle,1 Karen Guerrero-Vazquez,2 Olivier P Thomas,3 James Cray,4 Bethany J Wolf,5 Yeun-Mun Choo,6 Peter Croot,7 Mark T Hamann,8 Gary Hardiman1,5,9 1School of Biological Sciences and Institute for Global Security, Queen’s University, Belfast, Northern Ireland, UK; 2Genomic Data Science, University of Galway, Galway, Ireland; 3School of Biological and Chemical Sciences, Ryan Institute, University of Galway, Galway, H91TK33 Ireland; 4Department of Biomedical Education and Anatomy, College of Medicine and Division of Biosciences, College of Dentistry, Ohio State University, Columbus, OH, USA; 5Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA; 6Department of Chemistry, University of Malaya, Kuala Lumpur, Malaysia; 7Irish Centre for Research in Applied Geoscience, Earth and Ocean Sciences and Ryan Institute, School of Natural Sciences, University of Galway, Galway, Ireland; 8Departments of Drug Discovery and Biomedical Sciences and Public Health, Colleges of Pharmacy and Medicine, Medical University of South Carolina, Charleston, SC, USA; 9Department of Medicine, Medical University of South Carolina, Charleston, SC, USACorrespondence: Gary Hardiman, School of Biological Sciences and Institute for Global Food Security, Faculty of Medicine, Health, and Life Sciences, Queen’s University Belfast, 19 Chlorine Gardens, Belfast, BT9 5DL, Northern Ireland, UK, Email g.hardiman@qub.ac.ukAbstract: The urgent need for SARS-CoV-2 controls has led to a reassessment of approaches to identify and develop natural product inhibitors of zoonotic, highly virulent, and rapidly emerging viruses. There are yet no clinically approved broad-spectrum antivirals available for beta-coronaviruses. Discovery pipelines for pan-virus medications against a broad range of betacoronaviruses are therefore a priority. A variety of marine natural product (MNP) small molecules have shown inhibitory activity against viral species. Access to large data caches of small molecule structural information is vital to finding new pharmaceuticals. Increasingly, molecular docking simulations are being used to narrow the space of possibilities and generate drug leads. Combining in-silico methods, augmented by metaheuristic optimization and machine learning (ML) allows the generation of hits from within a virtual MNP library to narrow screens for novel targets against coronaviruses. In this review article, we explore current insights and techniques that can be leveraged to generate broad-spectrum antivirals against betacoronaviruses using in-silico optimization and ML. ML approaches are capable of simultaneously evaluating different features for predicting inhibitory activity. Many also provide a semi-quantitative measure of feature relevance and can guide in selecting a subset of features relevant for inhibition of SARS-CoV-2.Keywords: SARS-CoV-2, natural products, protease, methyl transferases, RNA dependent polymerases, viral transcription, genome replication, betacoronavirus

Background: Women are underrepresented in drug development trials and there is no sex-tailored drug regimen for most medications. It has been repeatedly shown that women have more adverse drug reactions than men for several medications. These differences could be explained by higher dose-adjusted drug concentrations in women. Thus, we aim to identify sex-related differences and to characterize the clinical and genetic predictors of these differences in drug concentrations, dosing, and adherence for 47 commonly used drugs in a large cohort. The objective of this article is to present an overview of the methods and characteristics of the study population., Methods: We performed a cross-sectional study that included 10,082 men and women of European ancestry aged ≥ 18 years from the Montreal Heart Institute Hospital Cohort taking at least one of the 47 medications regularly., Results: Of the 10,082 participants included, 36% were women. Women had lower weight, height, waist girth, and body mass index than men, but they had higher hip girth (all p < 0.001). Men had a higher level of education and annual income and were more likely to be employed full-time compared to women. Furthermore, men had a higher prevalence of hypertension, type 2 diabetes, dyslipidemia, and myocardial infarction (all p < 0.001) and were more likely receiving lipid-lowering agents, beta-blockers, antidiabetic drugs, and angiotensin-converting enzyme inhibitors. Conversely, proton pump inhibitors were more prevalent in women. Interestingly, nearly half of the women had a history of drug allergy or intolerance, compared with less than one-third of the men (p < 0.001)., Conclusion: This study has a high potential in understanding eventual sex differences in drug dosing requirements and will most likely provide useful information to personalize drug regimens in women., Competing Interests: Declarations. Ethics approval: This study is conducted according to the Management Policy of the MHI Hospital Cohort and is approved by the Management Committee of the Biobank as well as the Scientific and Ethics committees of the MHI. Consent to participate: All patients agreed to participate in the Hospital Cohort and signed a consent form. Consent for publication: Not applicable (see Ethics approval and Consent to participate). Competing interests: S. de Denus reports grants outside the submitted work from AstraZeneca and RMS/Dalcor. M.-P. Dubé has a minor equity interest in DalCor Pharmaceuticals. J.-C. Tardif has received research grants from Amarin, AstraZeneca, Ceapro, DalCor Pharmaceuticals, Esperion, Ionis, Novartis, Pfizer, RegenXBio, and Sanofi; honoraria from AstraZeneca, DalCor Pharmaceuticals, HLS Pharmaceuticals, and Pendopharm; and minor equity interest in DalCor Pharmaceuticals. M.-P. Dubé and J.-C. Tardif are authors on the following patents without royalties received: “Methods for Treating or Preventing Cardiovascular Disorders and Lowering Risk of Cardiovascular Events,” “Genetic Markers for Predicting Responsiveness to Therapy with HDL-Raising or HDL Mimicking Agent,” and “Methods for using low dose colchicine after myocardial infarction.”, (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Previous studies have shown that the formation of new memories can be influenced by prior experience. This includes work using Pavlovian fear conditioning in rodents that has shown that an initial fear conditioning experience can become associated with and facilitate the acquisition of new fear memories, especially when they occur close together in time. However, most of the prior studies used only males as subjects, resulting in questions about the generalizability of the findings from this work. Here we tested whether prior contextual fear conditioning would facilitate later learning of cued fear conditioning in both male and female rats, and if there were differences based on the interval between the two conditioning episodes. Our results showed that levels of cued fear were not influenced by prior contextual fear conditioning or by the interval between training; however, females showed lower levels of cued fear. Freezing behavior in the initial training context differed by sex, with females showing lower levels of contextual fear, and by the type of initial training, with rats given delayed shock showing higher levels of fear than rats given immediate shock during contextual fear conditioning. These results indicate that contextual fear conditioning does not prime subsequent cued fear conditioning and that female rats express lower levels of cued and contextual fear conditioning than males., (© 2024 Vazquez et al.; Published by Cold Spring Harbor Laboratory Press.)

Understanding the neural basis of fear expression in rodents has implications for understanding pathological fear responses that characterize posttraumatic stress disorder. Even though posttraumatic stress disorder is more common in females, little is known about the neural circuit interactions supporting fear expression in female rodents. In this study, we were interested in determining whether neural activity associated with the expression of contextual fear differed between males and females within the projections from the medial prefrontal cortex to the ventrolateral periaqueductal gray, and in the medial prefrontal cortex in neurons that do not project to the periaqueductal gray. We infused a viral retrograde tracer into the ventrolateral periaqueductal gray in male and female rats and trained them in a contextual fear conditioning task. The following day rats were re-exposed to the conditioning context and were sacrificed shortly thereafter. Neural activity was measured using EGR1 immunofluorescence. The behavioral results showed that males exhibited higher levels of freezing during the context test than females. Male rats that underwent training and testing showed an increase in the proportion of viral infected cells that express EGR1 in the PL compared to rats that had only received context exposure. Trained female rats were not different than controls, however a direct comparison between sexes was not different. In cells not labeled by the tracer, males showed higher levels of fear-induced EGR1 expression in the prelimbic cortex than females. Conversely, females showed higher levels of EGR1 expression in the infralimbic cortex following testing as compared to males. These results suggest that sex differences in the expression of contextual fear may involve differences in the relative activity levels of the prelimbic and infralimbic cortex., Competing Interests: Competing Interests The authors have nothing to disclose.

Background: Chagas disease has an ineffective drug treatment despite efforts made over the last four decades. The carbonic anhydrase of Trypanosoma cruzi (α-TcCA) has emerged as an interesting target for the design of new antiparasitic compounds due to its crucial role in parasite processes., Objective: The aim of this study was to identify potential α-TcCA inhibitors with trypanocide activity., Method: A maximum common substructure (MCS) and molecular docking were used to carry out a ligand- and structure-based virtual screening of ZINC20 and MolPort databases. The compounds selected were evaluated in an in vitro model against the NINOA strain of Trypanosoma cruzi, and cytotoxicity was determined in a murine model of macrophage cells J774.2., Results: Five sulfonamide derivatives (C7, C9, C14, C19, and C21) had the highest docking scores (-6.94 to -8.31 kcal/mol). They showed key residue interactions on the active site of the α-TcCA and good biopharmaceutical and pharmacokinetic properties. C7, C9, and C21 had half-maximal inhibitory concentration (IC50) values of 26, 61.6, and 49 μM, respectively, against NINOA strain epimastigotes of Trypanosoma cruzi., Conclusion: Compounds C7, C9, and C21 showed trypanocide activity; therefore, these results encourage the development of new trypanocidal agents based on their scaffold., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

The emergence of conflict is a complex issue with numerous drivers and interactions playing a role. Exploratory dimension-reduction techniques can reveal patterns of association in such complex data. In this study, an existing dataset was reanalyzed using factor analysis for mixed data to visualize the data in two-dimensional space to explore the conditions associated with high levels of conflict. The first dimension was strongly associated with resilience index, control of corruption, income, income inequality, and regime type, while the second dimension was strongly associated with oil production, regime type, conflict level, political terror level, and water stress. Hierarchical clustering from principal components was used to group the observations into five clusters. Country trajectories through the two-dimensional space provided examples of how movement in the first two dimensions reflected changes in conflict, political terror, regime type, and resilience index. These trajectories correspond to the evolution of themes in research on conflict, particularly in terms of considering the importance of climate or environmental variables in stimulating or sustaining conflict. Understanding conditions associated with high conflict can be helpful in guiding the development of future models for prediction and risk assessment., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Vazquez et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Parasitic diseases are a public health problem despite the existence of drugs for their treatment. These treatments have variable efficacy and, in some cases, serious adverse effects. There has been interest in the enzyme carbonic anhydrase (CA) in the last two decades since it is essential in the life cycle of various parasites due to its important participation in processes such as pyrimidine synthesis, HCO 3 - transport across cell membranes, and the maintenance of intracellular pH and ion transport (Na + , K + , and H + ), among others., Objective: In this review, CA was analyzed as a pharmacological target in etiological agents of malaria, American trypanosomiasis, leishmaniasis, amoebiasis, and trichomoniasis. The CA inhibitors´ design, binding mode, and structure-activity relationship are also discussed., Conclusion: According to this review, advances in discovering compounds with potent inhibitory activity suggest that CA is a candidate for developing new antiprotozoal agents., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

An easy and fast strategy to compare functionally the metabolic maps is described. The KEGG metabolic maps are transformed into linear Enzymatic Step Sequences (ESS) using the Breadth First Search (BFS) algorithm. To do this, the KGML files are retrieved, and directed graph representations are created; where the nodes represent enzymes or enzymatic complexes, and the edges represent a compound, that is the 'product' from one reaction and a 'substrate' for the next. Then, a set of initialization nodes are selected, and used as the root for the construction of the BFS tree. This tree is used as a guide to the construction of the ESS. From each leaf (terminal node), the path is traced backwards until it reaches the root metabolic map and with two or fewer neighbors in the graph. In a second step, the ESS are compared with a Dynamic Programing algorithm, considering an "ad hoc" substitution matrix, and minimizing the global score. The dissimilarity values between two EC numbers ranged from 0 to 1, where 0 indicates similar EC numbers, and 1 indicates different EC numbers. Finally, the alignment is evaluated by using the normalized entropy-based function, considering a threshold of ≤ 0.27 as significant.•The KEGG metabolic maps are transformed into linear Enzymatic Step Sequences (ESS) using the Breadth First Search (BFS) algorithm.•Nodes represent enzymes or enzymatic complexes, and the edges represent a compound, that is 'product' from one reaction and a 'substrate' for the next.•The ESS are compared with a Dynamic Programing algorithm, considering an "ad hoc" substitution matrix, and minimizing the global score., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2023 Published by Elsevier B.V.)

Background: The use of microalgae has been emerging as a potential technology to reduce greenhouse gases and bioremediate polluted water and produce high-value products as pigments, phytohormones, biofuels, and bioactive compounds. The improvement in biomass production is a priority to make the technology implementation profitable in every application mentioned before., Methods: The present study was conducted to explore the use of microalgae from genus Chlorella and Tetradesmus for the generation of substances of interest with UV absorption capacity. A mathematical model was developed for both microalgae to characterize the production of microalgae biomass considering the effects of light intensity, temperature, and nutrient consumption. The model was programmed in MATLAB software, where the three parameters were incorporated into a single specific growth rate equation., Results: It was found that the optimal environmental conditions for each genus ( Chlorella T=36°C, and I<787 μmol/m 2 s; Tetradesmus T=23°C and I<150 μmol/m 2 s), as well as the optimal specific growth rate depending on the personalized values of the three parameters., Conclussion: This work could be used in the production of microalgae biomass for the design and development of topical applications to replace commercial options based on compounds that compromise health and have a harmful impact on the environment., Competing Interests: The authors declare no competing interests., (© 2023 The Authors.)

Vimentin is a Type III intermediate filament (VIF) cytoskeletal protein that regulates the mechanical and migratory behavior of cells. Its expression is considered to be a marker for the epithelial to mesenchymal transition (EMT) that takes place in tumor metastasis. However, the molecular mechanisms regulated by the expression of vimentin in the EMT remain largely unexplored. We created MCF7 epithelial cell lines expressing vimentin from a cumate-inducible promoter to address this question. When vimentin expression was induced in these cells, extensive cytoplasmic VIF networks were assembled accompanied by changes in the organization of the endogenous keratin intermediate filament networks and disruption of desmosomes. Significant reductions in intercellular forces by the cells expressing VIFs were measured by quantitative monolayer traction force and stress microscopy. In contrast, laser trapping micro-rheology revealed that the cytoplasm of MCF7 cells expressing VIFs was stiffer than the uninduced cells. Vimentin expression activated transcription of genes involved in pathways responsible for cell migration and locomotion. Importantly, the EMT related transcription factor TWIST1 was upregulated only in wild type vimentin expressing cells and not in cells expressing a mutant non-polymerized form of vimentin, which only formed unit length filaments (ULF). Taken together, our results suggest that vimentin expression induces a hybrid EMT correlated with the upregulation of genes involved in cell migration., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Sivagurunathan, Vahabikashi, Yang, Zhang, Vazquez, Rajasundaram, Politanska, Abdala-Valencia, Notbohm, Guo, Adam and Goldman.)

Near micromolar concentrations of nitric oxide (NO) induce tumor cells death. However, an appropriate NO load has to be delivered selectively to the tumor site in order to avoid NO loss and secondary NO-induced effects. The encapsulation of millimolar concentrations of a NO source and an appropriate trigger of NO release within phospatidylcholine-based liposomes should provide an efficient tool for the selective release of the needed NO payload. In this work we report the photosensitized generation of singlet oxygen and NO from folate-targeted PEGylated liposomes, containing AlPcS4 as the sensitizer and S -nitrosoglutathione (GSNO), in millimolar amounts, as the NO source. Amounts of singlet oxygen detected outside the liposome when using PEGylated liposomes are near 200 % larger when GSNO is present inside the liposomes as compared to its absence. These liposomes, conjugated to folate, were found to enhance the photosensitized cytotoxicity to A2780CP20 ovarian cancer cells as compared to liposomes containing the sensitizer but no GSNO (30 % as compared to 70 % cell viability) under the conditions of this work. Fluorescense of AlPcS4 was observed inside cells incubated with folate-conjugated liposomes but not with liposomes without folate. The photosensitized activity enhancement by GSNO increased when light fluence or liposome concentration were increased. The majority of ovarian cancer patients are initially diagnosed with disseminated intra-abdominal disease (stages III-IV) and have a 5-year survival of less than 20%. This work suggests a novel ovarian cancer nodules treatment via the use of tumor-targeted liposome nanoparticles with the capability of generating simultaneously reactive oxygen and nitrogen species upon illumination with near-infrared light., Competing Interests: Conflicts of Interest: The authors declare no conflict of interest. The funding sources had no role in study design, data collection, analysis and interpretation or in writing and submitting the manuscript.

In collective cell migration, the motion results from forces produced by each cell and transmitted to the neighboring cells and to the substrate. Because inertia is negligible and the migration occurs over long time scales, the cell layer exhibits viscous behavior, where force and motion are connected by an apparent friction that results from the breaking and forming of adhesive bonds at the cell-cell and cell-substrate interfaces. Most theoretical models for collective migration include an apparent friction to connect force and motion, with many models making predictions that depend on the ratio of cell-cell and cell-substrate friction. However, little is known about factors that affect friction, leaving predictions of many theoretical models untested. Here, we considered how substrate stiffness and the number of adhesions affected friction at the cell-substrate interface. The experimental data were interpreted through prior theoretical models, which led to the same conclusion, that increased substrate stiffness increased the number of cell-substrate adhesions and caused increased cell-substrate friction. In turn, the friction affected the collective migration by altering the curvature at the edge of the cell layer. By revealing underlying factors affecting friction and demonstrating how friction perturbs the collective migration, this work provides experimental evidence supporting prior theoretical models and motivates the study of other ways to alter the collective migration by changing friction., (© 2022. The Author(s).)

This study reports the occurrence of a poorly differentiated carcinoma in a captive-born 28 year-old male chimpanzee (Pan troglodytes) who has a familial history of cancer. Pathological findings, surgical interventions, and experimental treatments are discussed., (© 2021 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Background: Perceptions of asthma triggers provide important guidance for patients' disease management. A psychometrically valid instrument, the Asthma Trigger Inventory (ATI), is available in English and German language versions, however, a version in Spanish as major world language has been missing. Method: A Spanish-language version of the ATI was evaluated in 339 adult patients with asthma, 223 of these in Peru and 107 in the USA. Principal Component analysis (PCA) with Varimax rotation was used to identify coherent trigger domains across and within samples. Resulting subscales were evaluated for internal consistency. Results: PCA suggested differences in factor structures between sites. Whereas the USA sample largely replicated original factors for animal allergens, pollen allergens, physical activity, air pollution/irritants, infections, and psychology, the initial analysis of the Peru sample suggested substantial overlap of air pollution/irritant, infection, and allergen items. Subsequent analysis of an expanded research form of the ATI for the Peru site culminated in extraction of five factors related to psychology, climate/temperature, combined pollen and animal allergens, physical activity, and infection. Internal consistencies were in an acceptable to excellent range (α = 0.74 to 0.94). Additional free trigger responses confirmed the importance of climate variables for patients in Peru. Psychological triggers were reported by 26% (Peru) and 31% (USA) of patients. Conclusion: Coherent trigger domains are readily identified and measured reliably by a Spanish-language ATI version. However, factor structures vary between samples from different Hispanic/Latino cultural and geographic domains. Culturally adapted versions of this instrument are therefore required for Hispanic/Latino population studies.

Background: Two strategies for rating the quality of nursing homes (NHs) in the USA are exemplified by the Nursing Home Compare (NHC) website, launched by the federal Centers for Medicare and Medicaid Services in 1998, and Yelp.com, an online consumer review site that has grown in popularity since its founding in 2004. Both sites feature a 5-star rating system. While much is known about NHC ratings, little is known about NH Yelp ratings. This study examines Yelp ratings for NHs in California and compares these ratings with NHC ratings. Understanding how these ratings relate can inform efforts to empower consumers and enhance NH decision-making., Methods: We collected NHC and Yelp ratings for all California NHs between September and November 2016. For each NH with a Yelp review, we recorded the star rating and the total number of reviews. We also recorded the NHC 5-star rating and NHC ratings for inspections, staffing and quality measures (QMs). We conducted descriptive statistics and frequencies for these variables. We conducted correlations and tested means to compare the ratings., Results: A total of 675 NHs (68.1% of the total sample of 991 NHs) had both Yelp ratings and NHC ratings. Correlations between the Yelp and NHC ratings were relatively weak. The Yelp rating was significantly lower than the 5-star NHC rating and the NHC ratings for staffing and QMs. It was significantly higher than the NHC inspection rating., Conclusions: This study found that when consumers rate NHs on Yelp, their ratings differ considerably from NHC ratings, a finding in keeping with similar studies of NH quality measurement. Further research is needed to analyse the content of Yelp reviews and compare the themes and topics consumers identify with those reported on NHC., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Background: Although patient-centered care is an expressed value of our healthcare system, no studies have examined what consumers say in online reviews about nursing homes (NHs). Insight into themes addressed in these reviews could inform improvement efforts that promote patient-centered NH care., Research Design and Methods: We analyzed nursing home (NH) Yelp reviews. From a list of all NHs in California, we drew a purposeful sample of 51 NHs, selecting facilities representing a range of geographical areas and occupancy rates. Two research teams analyzed the reviews using grounded theory to identify codes and tracked how frequently each code was mentioned., Results: We evaluated 264 reviews, identifying 24 codes, grouped under five categories: quality of staff care and staffing; physical facility and setting; resident safety and security; clinical care quality; and financial issues. More than half (53.41%) of Yelp reviewers posted comments related to staff attitude and caring and nearly a third (29.2%) posted comments related to staff responsiveness. Yelp reviewers also often posted about NHs' physical environment. Infrequently mentioned were the quality of health care provided and concerns about resident safety and security., Discussion and Implications: Our results are consistent with those from related studies. Yelp reviewers focus on NH aspects that are not evaluated in most other NH rating systems. The federal Nursing Home Compare website, for instance, does not report measures of staff attitudes or the NH's physical setting. Rather, it reports measures of staffing levels and clinical processes and outcomes. We recommend that NH consumers consult both types of rating systems because they provide complementary information.

Gene regulation at the transcriptional level is a central process in all organisms where DNA-binding transcription factors play a fundamental role. This class of proteins binds specifically at DNA sequences, activating or repressing gene expression as a function of the cell's metabolic status, operator context and ligand-binding status, among other factors, through the DNA-binding domain (DBD). In addition, TFs may contain partner domains (PaDos), which are involved in ligand binding and protein-protein interactions. In this work, we systematically evaluated the distribution, abundance and domain organization of DNA-binding TFs in 799 non-redundant bacterial and archaeal genomes. We found that the distributions of the DBDs and their corresponding PaDos correlated with the size of the genome. We also identified specific combinations between the DBDs and their corresponding PaDos. Within each class of DBDs there are differences in the actual angle formed at the dimerization interface, responding to the presence/absence of ligands and/or crystallization conditions, setting the orientation of the resulting helices and wings facing the DNA. Our results highlight the importance of PaDos as central elements that enhance the diversity of regulatory functions in all bacterial and archaeal organisms, and our results also demonstrate the role of PaDos in sensing diverse signal compounds. The highly specific interactions between DBDs and PaDos observed in this work, together with our structural analysis highlighting the difficulty in predicting both inter-domain geometry and quaternary structure, suggest that these systems appeared once and evolved with diverse duplication events in all the analysed organisms.