Miracle-dz/UniFAR-FTUs huggingface dataset:
Gene expression patterns of red sea urchins (Mesocentrotus franciscanus) exposed to different combinations of temperature and pCO2 during early development

Background The red sea urchin Mesocentrotus franciscanus is an ecologically important kelp forest herbivore and an economically valuable wild fishery species. To examine how M. franciscanus responds to its environment on a molecular level, differences in gene expression patterns were observed in embryos raised under combinations of two temperatures (13 °C or 17 °C) and two p CO 2 levels (475 μatm or 1050 μatm). These combinations mimic various present-day conditions measured during and between upwelling events in the highly dynamic California Current System with the exception of the 17 °C and 1050 μatm combination, which does not currently occur. However, as ocean warming and acidification continues, warmer temperatures and higher p CO 2 conditions are expected to increase in frequency and to occur simultaneously. The transcriptomic responses of the embryos were assessed at two developmental stages (gastrula and prism) in light of previously described plasticity in body size and thermotolerance under these temperature and p CO 2 treatments. Results Although transcriptomic patterns primarily varied by developmental stage, there were pronounced differences in gene expression as a result of the treatment conditions. Temperature and p CO 2 treatments led to the differential expression of genes related to the cellular stress response, transmembrane transport, metabolic processes, and the regulation of gene expression. At each developmental stage, temperature contributed significantly to the observed variance in gene expression, which was also correlated to the phenotypic attributes of the embryos. On the other hand, the transcriptomic response to p CO 2 was relatively muted, particularly at the prism stage. Conclusions M. franciscanus exhibited transcriptomic plasticity under different temperatures, indicating their capacity for a molecular-level response that may facilitate red sea urchins facing ocean warming as climate change continues. In contrast, the lack of a robust transcriptomic response, in combination with observations of decreased body size, under elevated p CO 2 levels suggest that this species may be negatively affected by ocean acidification. High present-day p CO 2 conditions that occur due to coastal upwelling may already be influencing populations of M. franciscanus .
Validation of the Persian version of the mental health literacy scale in Iran

The present study was designed to validate an English version of the mental health literacy scale into Persian, in Iran. Statistical population consisted of all residents of 22 municipal districts of Tehran, Iran, in 2018. Multistage sampling methods were used (sample size = 1026). All participants filled the Mental Health Literacy scale; 12‐item General Health Questionnaire; Multidimensional Health Locus of Control scale and a demographic checklist. Exploratory and confirmatory factor analysis, the intra‐class correlation coefficient was used for analysing data. All analyses were run with SPSS and AMOS Graphics version 18. Exploratory factor analysis revealed five components (24 items) explaining 21.68%, 20.24%, 8.97%, 6.48% and 5.36% of the variance respectively (totally explained variance = 62.74%). Confirmatory factor analysis showed an acceptable goodness‐of‐fit (CMIN/DF = 3.19, GFI = 0.887, CFI = 0.893, IFI = 0.894, TLI = 0.877, RMSEA = 0.065). The values of Cronbach's alpha showed satisfactory internal consistency. Two clinical correlates of mental health literacy were investigated. The structure of the mental health literacy scale was to some extent different from the one in O'Connor et al. study, but it was consistent with the definition of MHL presented by Jorm et al. This is the first Persian version of the MHL in the general population in Iran and undoubtedly needs to be checked on more studies.
Solar Radiation Models. Part 2: Comparison and Developing New Models

Solar engineers, architects, agriculturists, and hydrologists in many applications of solar energy require a reasonably accurate knowledge about the availability of solar resources at any place. For this purpose, in the past, several empirical models have been developed in order to estimate the solar radiation around the world. The main objective of the present study is twofold, namely: (1) to compare some existing models used for estimating the monthly average daily global solar radiation on a horizontal surface (H) for Turkey's big cities such as Istanbul, Ankara and Izmir, which cover approximately 30% of the population of Turkey, and (2) to develop some empirical models for these cities. Experimental data for Izmir were measured in the Solar-Meteorological Station of the Solar Energy Institute at Ege University. The present models were then compared with the 25 models, of which 12 were given in Part 1 of this study (defined as national models), while the remainder (called international models), presented here, and used for calculating H. The main percentage error (MPE), the root mean square error (RMSE), the main bias error (MBE) and the t-statistic (t-stat) methods were used for evaluating the performance of the models studied. It may be concluded that the present models predict the values of H for the three big cities better than other available models.
Riding the Wave of Digital Transformation in Behavioral Medicine.

BACKGROUND Digital technologies provide a platform for accelerating science and broadening impact in behavioral medicine. PURPOSE The objective of this invited keynote presentation or paper is to offer a blueprint for navigating the rapidly changing waters of digital health. METHODS A strategic literature review on digital health technologies in behavioral medicine was combined with a review of relevant policy initiatives to yield insights on: (a) knowledge building, (b) collaboration, and (c) public health stewardship. RESULTS Digital platforms offer unprecedented leverage for accelerating science, facilitating collaboration, and advancing public health. Early successes in behavioral medicine demonstrated how digital platforms could extend the reach of theory-based behavioral therapeutics through increases in efficiency and scale. As medical investments in health information technology increased, the field of behavioral informatics emerged as the collaborative glue binding behavioral theory into a new generation of patient-facing applications, clinical decision support tools, evidence-based communication programs, and population health management strategies. As a leader within the interstitial space between medicine, psychology, and engineering, the Society of Behavioral Medicine is in a distinct position to exert influence on the ways in which our science is utilized to eliminate health disparities; improve support for patients, caregivers, and communities; to promote general health and well-being; and to offer relief when confronted with psychological pain or addiction. CONCLUSION Riding the wave of digital transformation has less to do with mastering the complexities of the latest technologies and more to do with adhering closely to established principles for navigating a rapidly changing information environment.
Trajectories of sickness absence and disability pension before and after colorectal cancer: A Swedish longitudinal population-based matched cohort study

Objectives Working-aged colorectal cancer (CRC) patients have a much better survival, indicating the importance of their future work situation. We investigated trajectories of sickness absence and disability pension (SADP) days before and after CRC diagnosis, and risk factors associated with different trajectories. Methods A longitudinal, population-based matched cohort study of 4735 CRC survivors in Sweden aged 19–62 when first diagnosed with CRC in 2008–2011, and 18,230 matched references was conducted, using microdata linked from several nationwide registers. The annual SADP net days for 2 years before through 5 years after diagnosis date were computed. A group-based trajectory model was used to depict SADP trajectories. Associations between trajectory membership, and sociodemographic and clinical variables were tested by chi2 test and multinomial logistic regression. Results Four trajectories of SADP days/year for CRC survivors were identified: “only increase around diagnosis” (52% of all), “slight increase after diagnosis” (27%), “high then decrease moderately after diagnosis” (13%), and “constantly very high” (8%). Educational level, Charlson’s Comorbidity Index, and prediagnostic mental disorders were the strongest factors determining the SADP trajectory groups. In references, three trajectories (“constantly low” (80% of all), “constantly moderate and decrease gradually” (12%), and “very high then decrease overtime” (8%)) were identified. Conclusion Approximately 80% of CRC survivors return to a low level of SADP at 5 years postdiagnosis. Prediagnostic status of mental disorders, somatic comorbidity, and low educational level are good indicators of future high SADP levels for them. CRC survivors will benefit from early rehabilitation programs with identified risk factors.
Advice to use infant formula and free samples are common in both urban and rural areas in China: a cross-sectional survey

Abstract Objective: To examine the association between the place of residence and receiving free samples and advice to feed the baby with infant formula. Design: A cross-sectional study. Setting: The current study covered twelve counties/districts in China. Participants: 5112 mothers with infants aged 0–5·9 months. Results: About 16 % of the mothers received free samples of infant formula. During pregnancy, this likelihood was higher among mothers in small and medium cities (OR: 1·96; 95 % CI 1·14, 3·38) and non-poor rural counties (OR: 4·65; 95 % CI 1·65, 13·14) compared with mothers in big cities. During the hospital stay, it was lower in big cities. After discharge, it was lower in poor rural counties (OR: 0·14; 95 % CI 0·05, 0·41). About 26 % of the mothers were advised to feed their infants with infant formula. The likelihood of receiving advice to feed the baby with infant formula from hospitals was lower in non-poor (OR: 0·37; 95 % CI 0·21, 0·66) and poor rural counties (OR: 0·35; 95 % CI 0·13, 0·91) than in big cities. Mothers in non-poor rural counties were less likely to receive advice from traditional mass media (OR: 0·17; 95 % CI 0·06, 0·48), while mothers in small and medium cities were more likely to receive advice from modern mass media (OR: 1·84; 95 % CI 1·20, 2·80) compared with mothers in big cities. Conclusions: The promotion strategy of infant formula varies from different places of residence in China. The study suggests the need to strengthen enforcement of relevant regulations, especially within health facilities and through modern mass media.
Overestimation of volatility in schizophrenia and autism? A comparative study using a probabilistic reasoning task

Background and objectives A plethora of studies has investigated and compared social cognition in autism and schizophrenia ever since both conditions were first described in conjunction more than a century ago. Recent computational theories have proposed similar mechanistic explanations for various symptoms beyond social cognition. They are grounded in the idea of a general misestimation of uncertainty but so far, almost no studies have directly compared both conditions regarding uncertainty processing. The current study aimed to do so with a particular focus on estimation of volatility, i.e. the probability for the environment to change. Methods A probabilistic decision-making task and a visual working (meta-)memory task were administered to a sample of 86 participants (19 with a diagnosis of high-functioning autism, 21 with a diagnosis of schizophrenia, and 46 neurotypically developing individuals). Results While persons with schizophrenia showed lower visual working memory accuracy than neurotypical individuals, no significant group differences were found for metamemory or any of the probabilistic decision-making task variables. Nevertheless, exploratory analyses suggest that there may be an overestimation of volatility in subgroups of participants with autism and schizophrenia. Correlations revealed relationships between different variables reflecting (mis)estimation of uncertainty, visual working memory accuracy and metamemory. Limitations Limitations include the comparably small sample sizes of the autism and the schizophrenia group as well as the lack of cognitive ability and clinical symptom measures. Conclusions The results of the current study provide partial support for the notion of a general uncertainty misestimation account of autism and schizophrenia.
Identifying Children With Medical Complexity From the National Survey of Children's Health Combined 2016-17 Data Set.

OBJECTIVES To develop a method of identifying children with medical complexity (CMC) from the National Survey of Children's Health (NSCH) 2016-2017 combined data set, to compare this approach to existing CMC identification strategies, and to describe sociodemographic characteristics of our CMC sample. METHODS Using survey items pertinent to the medical complexity domains in the style by Cohen et al (chronic health conditions, health service needs, health care use, and functional limitations), we created a schema to categorize children as CMC by applying a 95th percentile cutoff for survey item positivity. We applied existing CMC identification techniques to the NSCH. We used 2-proportion z tests to compare the classification output of our CMC identification method to those of existing approaches. We used χ2 analyses to examine relationships between child and family characteristics, comparing CMC with children with special health care needs (CSHCN) and children with no special health care needs. RESULTS Among the 71 811 children in the sample, 1.5% were classified as CMC by our method, representing almost 1.2 million children (weighted) in the United States in 2016-2017. CSHCN and children with no special health care needs represented 17.2% (weighted n = 12.6 million) and 81.2% (weighted n = 59.6 million) of the sample, respectively. Our approach classified a significantly smaller number of CSHCN as CMC than existing CMC identification methods, which classified 3.9% to 13.2% of the 2016-2017 NSCH sample as more complex (P < .001). CMC status was significantly associated with male sex, minority race or ethnicity, and experiencing socioeconomic adversity (all P < .001). CONCLUSIONS This method enables standardized identification of CMC from NSCH data sets, thus allowing for an examination of CMC health outcomes, pertinent to pediatric hospitalist medicine, contained in the survey.
Comparative analysis of commonly used peak calling programs for ChIP-Seq analysis

Chromatin immunoprecipitation coupled with high-throughput DNA sequencing (ChIP-Seq) is a powerful technology to profile the location of proteins of interest on a whole-genome scale. To identify the enrichment location of proteins, many programs and algorithms have been proposed. However, none of the commonly used peak calling programs could accurately explain the binding features of target proteins detected by ChIP-Seq. Here, publicly available data on 12 histone modifications, including H3K4ac/me1/me2/me3, H3K9ac/me3, H3K27ac/me3, H3K36me3, H3K56ac, and H3K79me1/me2, generated from a human embryonic stem cell line (H1), were profiled with five peak callers (CisGenome, MACS1, MACS2, PeakSeq, and SISSRs). The performance of the peak calling programs was compared in terms of reproducibility between replicates, examination of enriched regions to variable sequencing depths, the specificity-to-noise signal, and sensitivity of peak prediction. There were no major differences among peak callers when analyzing point source histone modifications. The peak calling results from histone modifications with low fidelity, such as H3K4ac, H3K56ac, and H3K79me1/me2, showed low performance in all parameters, which indicates that their peak positions might not be located accurately. Our comparative results could provide a helpful guide to choose a suitable peak calling program for specific histone modifications.
Renal insufficiency in multiple myeloma: a systematic review and meta-analysis of all randomized trials from 2005–2019

Abstract Clinical trials may be inconsistent in their enrollment and reporting of patients with multiple myeloma (MM) who have renal insufficiency (RI). We performed a systematic review of all MM randomized clinical trials (RCT) from 2005–2019 to evaluate reporting of prevalence, eligibility criteria and outcomes of patients with RI and MM. One-hundred and twenty-three RCTs were included. Only 30% of studies clearly reported on the proportion of patients who had RI. Only 68.2% reported eligibility criteria pertaining to RI, with no uniformity in the reported criteria. The relative risk (RR) of disease progression or death in patients with RI was higher than those without, RR of 1.20 (1.003–1.431) for relapsed/refractory and 1.07 (1.001–1.046) for newly diagnosed. There is inconsistent reporting and enrollment of patients with RI on MM RCT’s. We advocate for higher enrollment of patients with RI and transparent reporting of their eligibility criteria and outcomes.
Highly potent anti-malarial activity of benzopyrano(4,3-b)benzopyran derivatives and in silico interaction analysis with putative target Plasmodium falciparum lactate dehydrogenase

Abstract Malaria infection caused by Plasmodium falciparum is majorly responsible for millions of deaths in humans every year. Moreover, a rapid increase in resistance to existing drugs has posed an urgent need for new anti-malarials. Herein, we report the highly potent anti-malarial activity of benzopyrano(4,3-b)benzopyran derivatives, inspired from naturally occurring dependensin against chloroquine (CQ) sensitive and resistant P. falciparum strains. Chemically synthesized, four dependensin analogs 85(A–D) exhibited growth inhibition at nanomolar concentrations ranging from 63.96 to 725.8 nM by blocking the parasite development at the ring and early trophozoite stages. The growth inhibitory activity of dependensin analogs was correlated with their anti-plasmodial lactate dehydrogenase activity by computational analysis. Molecular docking, 50 ns simulation and a 2D-Quantitative Structure-Activity Relationship (2D-QSAR) modelling revealed the interaction with their putative target P. falciparum lactate dehydrogenase (PfLDH). Here, developing the predictive 2D descriptors such as thermodynamic, spatial, electronic, and topological with multiple linear regression analysis (MLRA), the structural requirements for potent and selective PfLDH inhibitory activity has been identified. The strong binding of compound 85D to the catalytic Nicotinamide adenine dinucleotide (NADH) binding pocket of the PfLDH further supported the PfLDH targeting potential of dependensin analogs. Overall, this study revealed a highly potent anti-malarial activity of benzopyrano(4,3-b)benzopyran derivatives with their putative anti-PfLDH activity. Communicated by Ramaswamy H. Sarma
Investigation of gene-gene interactions of clock genes for chronotype in a healthy Korean population

Chronotype is an important moderator of psychiatric illnesses, which seems to be controlled in some part by genetic factors. Clock genes are the most relevant genes for chronotype. In addition to the roles of individual genes, gene-gene interactions of clock genes substantially contribute to chronotype. We investigated genetic associations and gene-gene interactions of the clock genes BHLHB2, CLOCK, CSNK1E, NR1D1, PER1, PER2, PER3, and TIMELESS for chronotype in 1,293 healthy Korean individuals. Regression analysis was conducted to find associations between single nucleotide polymorphism (SNP) and chronotype. For gene-gene interaction analyses, the quantitative multifactor dimensionality reduction (QMDR) method, a nonparametric model-free method for quantitative phenotypes, were performed. No individual SNP or haplotype showed a significant association with chronotype by both regression analysis and single-locus model of QMDR. QMDR analysis identified NR1D1 rs2314339 and TIMELESS rs4630333 as the best SNP pairs among two-locus interaction models associated with chronotype (cross-validation consistency [CVC] = 8/10, p = 0.041). For the three-locus interaction model, the SNP combination of NR1D1 rs2314339, TIMELESS rs4630333, and PER3 rs228669 showed the best results (CVC = 4/10, p < 0.001). However, because the mean differences between genotype combinations were minor, the clinical roles of clock gene interactions are unlikely to be critical.
Association between quantitative lower limb arterial calcification and bilateral severe knee osteoarthritis

Abstract Objectives To investigate whether lower limb arterial calcification (LLAC) quantified using computed tomography (CT) was a risk factor for bilateral severe knee osteoarthritis (OA). Methods This cross-sectional study included patients who were scheduled for surgical treatment of primary varus knee OA. Knee OA was evaluated using the Kellgren-Lawrence (KL) classification, KL grades 3 and 4 were defined as severe OA. The LLAC score in the bilateral whole leg CT was quantitatively measured and categorized into low or high groups based on the median value. A modified Poisson regression model was used to examine the relationship between the categorized LLAC score and the presence of bilateral severe knee OA with adjustment for possible confounders. Results Of a total of 252 patients examined, multivariable modified Poisson regression analysis showed a significant association between higher LLAC score and the presence of bilateral severe knee OA (adjusted risk ratio = 1.28; 95% confidence interval [CI], 1.12–1.48; p < .001). A substantial interaction was observed between male sex and high LLAC (p for interaction = .03). Conclusion LLAC was associated with bilateral severe knee OA, and the LLAC score may be a useful measurement to identify patients at risk of bilateral severe knee OA.
Development of a hybrid sputtering/evaporation process for Cu(In,Ga)Se2 thin film solar cells

In this paper we report a new method for Cu(In,Ga)Se2 deposition for solar cell application. Differently from the common co‐evaporation process, an alterative approach for thin film Cu(In,Ga)Se2 has been tested: the sputtering deposition of metal elements combined with the selenium evaporation. We have studied the relationships between the growth parameters of our hybrid sputtering/evaporation method and the chemical‐physical properties of the CIGS films. The cells are completed with a CdS buffer layer deposited by chemical bath deposition and ZnO + ITO deposited by RF sputtering. Test solar cells of 0.5 cm2 have shown an efficiency of 10% and 2.5% on glass and stainless steel substrate respectively. (© 2011 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Effect of aliphatic isocyanates (HDI and LDI) as coupling agents on the properties of eco-composites from biodegradable polymers and corn starch

Eco-composites made from poly(lactic acid) (PLA), poly(butylene succinate) (PBS) and corn starch (CS) with a designable interface were prepared by reactive processing using aliphatic isocyanates as coupling agents. Hexamethylene diisocyanate (HDI) and lysine diisocyanate (LDI) were used as aliphatic isocyanates. Copolymers of biodegradable polymers and CS with urethane linkages were produced during the kneading process, as confirmed by NMR spectroscopy. With the addition of isocyanates the tensile properties improved. The interfacial morphology showed that the interfacial adhesion between the polymer matrices and CS was enhanced by the addition of isocyanates. Diffusion coefficients of water were smaller for all composites with isocyanates than without, indicating that the diffusion of water into the composites with isocyanates proceeds slowly. The water absorption rate increased as the CS content rose and decreased in the composites with isocyanates.