bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modified hydrated sodium calcium aluminosilicate‐supplemented diet protects porcine oocyte quality from zearalenone toxicity
Authors: Xu Yao , Sun Ming‐Hong , Li Xiao‐Han , Ju Jia‐Qian , Chen Li‐Yuan , Sun Yu‐Rong , Sun Shao‐Chen 
Published: July 2020

AbstractZearalenone (ZEN) is one of the most common mycotoxins produced by fungus in contaminated feed. ZEN has multiple toxicities, including reproductive toxicity of domestic animals, particularly pigs. However, studies on the effects of ZEN on ovary/oocytes have been primarily based on in vitro experiments, and there is still no evidence from porcine in vivo models due to multiple limitations. Moreover, no report has investigated the effect of hydrated sodium calcium aluminosilicate (HSCAS) as a supplement on pig oocyte quality. In the present study, we fed pigs a 1.0 mg/kg ZEN‐contaminated diet for 10 days. The results showed that pigs fed ZEN presented reduced oocyte–cumulus cell interactions, an increase in the number of denuded oocytes in ovaries, a decrease in the number of oocytes in each ovary, and an increase in the oocyte death rate. Oocytes from ZEN‐exposed pigs exhibited a delayed cell cycle and abnormal cytoskeletal dynamics during meiotic maturation, which could be due to oxidative stress‐induced autophagy. Moreover, we also show that supplementing the ZEN‐contaminated diet with modified HSCAS effectively protected porcine oocyte quality. Taken together, our study provides in vivo data demonstrating the protective effects of HSCAS against ZEN toxicity in porcine oocytes.
An introduction for the special issue on environmental health and genome integrity
Authors: Yan Shan , Vaziri Cyrus 
Published: July 2020

AbstractEnvironmental exposures and genome maintenance mechanisms that respond to environmentally‐induced genotoxicity have a profound impact on human health. Eight review articles in this Special Issue (SI) titled “Environmental Health and Genome Integrity” describe emerging new mechanisms by which distinct forms of environmentally‐induced DNA damage are remediated, and explain how DNA repair pathway choices impact genome integrity and disease propensity. Here, we provide an introduction to reviews from this SI. Our expanding knowledge of how genotoxic exposures impact the genome will allow us to better predict, prevent and treat environmentally‐induced human diseases such as cancer and neurodegenerative disorders.
A spatio‐temporal model for the analysis and prediction of fine particulate matter concentration in Beijing
Authors: Wan Yating , Xu Minya , Huang Hui , Xi Chen Song 
Published: July 2020

AbstractEffective air quality management and forecasting in Beijing is urgently needed as the region suffers from the worst air pollution in any standards. However, the statistical mechanism of the PM2.5formation with respect to various factors is underexplored in this region and China in general. Through an elaborate application with refinement of a spatio‐temporal model with varying coefficients to the dynamics of PM2.5around Beijing based on a large dataset, we provide a comprehensive interpretation for the dynamics of PM2.5concentration with respect to its gaseous precursors, meteorological conditions and geographical variables. Furthermore, we conduct multistep temporal forecasts on a rolling basis for both the PM2.5concentration and the pollution levels. With the help of the expectation‐maximization algorithm, the proposed models estimated for eight seasons from March 2015 to February 2017 around Beijing provide satisfactory in‐sample fits and generate more accurate out‐of‐sample forecasts, compared with Finazzi and Fassò's original model as well as other alternative models. Valuable insights in tackling the excessive air pollution in Beijing are suggested from the comprehensive application of our model.
Discussion on A high‐resolution bilevel skew‐tstochastic generator for assessing Saudi Arabia's wind energy resources
Authors: Zammit‐Mangion Andrew 
Published: July 2020

AbstractStatistical spatiotemporal environmental data analysis is rarely straightforward, with one having to face challenges relating to big data, non‐Gaussianity, nonstationarity, multiple scales of behavior, deterministic (numerical) model output, and more. One often has to rely heavily on good statistical parallel computing skills and sound knowledge of the application domain. The work of Tagle et al. (2020) overcomes all of these challenges, and is an excellent example of the tangible contributions spatiotemporal modeling and distribution theory can make to the environmental sciences at the policy level. In this discussion piece I focus on a few high‐level concepts in the paper of Tagle et al. (2020) that are relevant to related application domains. I also provide some technical suggestions that could be used to facilitate inference.
Optimization of a solar water heating system for vapor absorption refrigeration system
Authors: Christopher Sathiya Satchi , Santosh Ravichandran , Ponrajan Vikram Muthuraman , Prabakaran Rajendran , Thakur Amrit Kumar , Xu Huijin 
Published: July 2020

AbstractIn this work, the optimization study of the solar collector integrated, with a thermal energy storage tank for the vapor absorption refrigeration system, was studied using TRNSYS. The performance of the integrated system was evaluated considering major contributing parameters such as solar collector area, the mass flow rate of the operating fluids, storage tank volume and height, absorber plate thickness, tube spacing, absorber tube diameter, insulation thickness, and glass thickness/properties, respectively. A physical model of the complete solar water heating (SWH) and refrigeration system was developed followed by simulation studies of the major components for optimization, and finally, the obtained results were compared with the reported data for validation. The results indicated that, by using the solar power with a serpentine tube type flat plate collector of area 24 m2 and a storage volume to a specific collector area of about 60 Lm−2, the optimized system could meet 65% of the annual thermal energy requirement for the refrigeration unit. Further, the annual performance of the optimized solar collector in terms of collector efficiency, heat removal factor, and overall heat loss coefficient was found to be about 0.32, 0.87, and 2.99 W m−2 K, respectively. In addition, the optimization approach that is adopted using TRNSYS in the present study could be used for optimizing the solar‐based energy system for various applications.
The technical and economic evaluation of biodiesel production processes from different vegetable oils
Authors: Nguyen D. Duc , Pirouzfar Vahid , Hosseini Fatemeh Sadat , Su Chia‐Hung 
Published: July 2020

AbstractHuman being has been always thinking to apply renewable energy due to limited resources of energy. Therefore, alternative fuels have been chosen based on the following characteristics: environmental sustainability, being competitive with fossil fuels, technical justification, and easy production. In this research, various biodiesel production processes are simulated and technically analyzed using Aspen HYSYS. Then, the related flowsheets have been economically analyzed by Aspen Capital Cost Estimator (Icarus). Finally, the present net values have also been estimated by means of parameters such as the cost and sale values of vegetable oils, glycerol, NA3PO4, H3PO4,and biodiesel based on the interest rates. Considering these analyses, prediction procedures, equations of capital cost estimation, and net present value were developed. According to the analysis, the use of palm oils is more appropriate than other oils for biodiesel production because its ROR (36.01%) is higher than soybean oil (27.64%) and olive oil (3.39%). According to the calculated ROR values, palm oil and soybean oil have scored the highest rate of return, respectively.
Seismic performance of chevron‐configured special concentrically braced frames with yielding beams
Authors: Asada Hayato , Sen Andrew D. , Li Tao , Berman Jeffrey W. , Lehman Dawn E. , Roeder Charles W. 
Published: July 2020

SummaryCurrent seismic design requirements for special concentrically braced frames (SCBFs) in chevron configurations require that the beams supporting the braces be designed to resist the demands resulting from the simultaneous yielding of the tension brace and degraded, post‐buckling strength of the compression brace. Recent research, including large‐scale experiments and detailed finite‐element analyses, has demonstrated that limited beam yielding is not detrimental to chevron braced frame behavior and actually increases the story drift at which the braces fracture. These findings have resulted in new expressions for computing beam demands in chevron SCBFs that reduce the demand in the tension brace to be equal to the expected compressive capacity at buckling of the compression brace. In turn, the resultant force on the beam is reduced as is the required size of the beam. Further study was undertaken to investigate the seismic performance of buildings with SCBFs, including chevron SCBFs with and without yielding beams and X‐braced frames. Prototype three‐ and nine‐story braced frames were designed using all three framing systems, that is, chevron, chevron with yielding beams, and X SCBFs, resulting in six building frames. The nonlinear dynamic response was studied for ground motions simulating two different seismic hazard levels. The results were used to characterize the seismic performance in terms of the probability of salient damage states including brace fracture, beam vertical deformation, and collapse. The results demonstrate that the seismic performance of chevron SCBFs with limited beam yielding performs as well as or better than the conventionally designed chevron and X SCBFs.
Depressive symptoms rather than executive functioning predict group cognitive behavioural therapy outcome in binge eating disorder
Authors: Dingemans Alexandra E. , van Son Gabriëlle E. , Vanhaelen Christine B. , van Furth Eric F. 
Published: July 2020

AbstractExecutive functions play an important role in mediating self‐control and self‐regulation. It has been suggested that the inability to control eating in Binge Eating Disorder (BED) may indicate inefficiencies in executive functioning. This study investigated whether executive functioning predicted cognitive behavioural therapy outcome in BED while accounting for other possible predictors: depressive symptoms, interpersonal factors, eating disorder psychopathology, and self‐esteem. Executive functioning and other predictors were assessed in 91 patients with BED by means of neuropsychological tests and questionnaires at baseline. Eating disorder (ED) symptoms were assessed during treatment at variable time points. Potential predictor variables were investigated using multivariate Cox regression models. Recovery was defined by means of two different indicators based on the Eating Disorder Examination‐Questionnaire: (a) showing a 50% reduction in baseline symptom ED severity and/or reaching the clinical significance cut‐off; and (b) achieving abstinence of objective binge eating. Severity of depressive symptoms was a significant predictor for outcome on both indicators. Patients with no or mild depressive symptoms recovered faster (i.e., 50% reduction in ED symptoms and abstinence of objective binge eating) than those with severe depressive symptoms, which is in line with previous studies. Executive functioning was not related to treatment outcome in this study.
Projecting maize yield under local‐scale climate change scenarios using crop models: Sensitivity to sowing dates, cultivar, and nitrogen fertilizer rates
Authors: Chisanga Charles B. , Phiri Elijah , Chinene Vernon R. N. , Chabala Lydia M. 
Published: July 2020

AbstractThe APSIM‐Maize and CERES‐Maize models are widely used in impact studies to analyze the effect of climate change on future maize yield. The study objectives were to develop climate scenarios, assess crop model's sensitivity, and predict the impact of climate change on rainfed maize yield based on five global climate models under two RCP (RCP4.5 and RCP8.5) scenarios. The scenarios were based on the mid‐century and tested for sowing dates (SDs), maize cultivars, and nitrogen fertilizer rates (N). For field calibration and validation, the split‐split‐plot experimental design with three replicates was set up at Mount Makulu, Zambia. The treatments were SD, cultivar, and N‐rate were the main plot, subplot, and subsub plot, respectively. The APSIM‐Maize and CERES‐Maize models were used to run simulations using seasonal analysis. The impacts of climate change on maize yield were simulated for the future 2040–2069/1980–2010 using the AgMIP Protocols. The ensemble means from the simulation result in precipitation decrease and temperature increase. Days after planting to anthesis and maturity would reduce in 2050 (2040–2069). The % change in grain yield would range from 2.78% to 9.94%, −3.81% to −8.88%, and −2.33% to 10.63% under N1 (55.2 N kg/ha), N2 (110.4 N kg/ha), and N3 (165.6 N kg/ha) as affected by SDs, respectively. The simulation showed evidence of climate change and hence affect maize growth and yield. Therefore, there is a need to put in place strategies for alleviating the impact of climate change in maize production in Zambia.
A high‐order implicit hybridizable discontinuous Galerkin method for the Benjamin‐Bona‐Mahony equation
Authors: Fabien Maurice S. 
Published: July 2020

SummaryThis article introduces an efficient numerical scheme for the solution of the Benjamin‐Bona‐Mahony equation. The scheme is fully implicit, and combines high‐order time stepping and a hybridizable discontinuous Galerkin method in space. Implicit time stepping allows for larger time steps, while remaining robust for long‐time simulations. It is shown that the scheme is energy stable, and conserves mass. Computational experiments demonstrate that the scheme is high‐order accurate, robust, and possesses good conservation properties.
Eucommia ulmoides leaf extract alters gut microbiota composition, enhances short‐chain fatty acids production, and ameliorates osteoporosis in the senescence‐accelerated mouse P6 (SAMP6) model
Authors: Zhao Xin , Wang Yajing , Nie Zhiying , Han Lifeng , Zhong Xinqin , Yan Xiaohui , Gao Xiumei 
Published: July 2020

AbstractThe bark and the leaf of Eucommia ulmoides Oliv. content similar bioactive components, but the leaf of this medically important plant is mostly abandoned. In this study, we revealed that the aqueous extract of E. ulmoides leaf (EUL) can promote the growth of the probiotic Lactobacillus bulgaricus (LB) and inhibit the formation of osteoclast in vitro. This extract was next administrated to senescence‐accelerated mice P6 to evaluate examine its influence on the composition of gut microbiota (GM), short‐chain fatty acids (SCFAs), and osteoporosis (OP). The results showed that supplementation of the EUL aqueous extract to the mouse model: (a) increased bacterial diversity and Firmicutes/Bacteroidetes ratio in the gut, (b) increased SCFAs concentration in the feces and serum, and (c) ameliorated OP based on the results of bone mineral density (BMD), Dual‐energy X‐ray bone scan, and HE staining of distal femur.
A general framework for integrative analysis of incomplete multiomics data
Authors: Lin Dan‐Yu , Zeng Donglin , Couper David 
Published: July 2020

AbstractThere is a tremendous current interest in measuring multiple types of omics features (e.g., DNA sequences, RNA expressions, methylation profiles, metabolic profiles, protein expressions) on a large number of subjects. Although genotypes are typically available for all study subjects, other data types may be measured only on a subset of subjects due to cost or other constraints. In addition, quantitative omics measurements, such as metabolite levels and protein expressions, are subject to detection limits in that the measurements below (or above) certain thresholds are not detectable. In this article, we propose a rigorous and powerful approach to handle missing values and detection limits in integrative analysis of multiomics data. We relate quantitative omics variables to genetic variants and other variables through linear regression models and relate phenotypes to quantitative omics variables and other variables through generalized linear models. We derive the joint‐likelihood for the two sets of models by allowing arbitrary patterns of missing values and detection limits for quantitative omics variables. We carry out maximum‐likelihood estimation through computationally fast and stable algorithms. The resulting estimators are approximately unbiased and statistically efficient. An application to a major study on chronic obstructive lung disease yielded new biological insights.
Understanding the Science Surrounding Environmental Consequences and Rehabilitation Actions Stemming from Brazil's Fundão Tailing Dam Rupture
Authors: Smith Ross Edward William , Val Adalberto Luis 
Published: July 2020

Abstract
Collapse of the Fundão tailings dam in November 2015 in Minas Gerais, Brazil, resulted in the release of approximately 36 million cubic meters of primarily clay and fine sand–sized particles to the environment. The spill event extended over 600 km of the Rio Doce catchment and affected terrestrial and aquatic ecosystems and compromised socioeconomic activities throughout the watershed. Numerous monitoring programs and research investigations in the catchment since that time contribute to better understanding of the environmental consequences and plans for rehabilitation of the landscape. The Society of Environmental Toxicology and Chemistry (SETAC) Latin America Geographic Unit hosted the Fundão Dam Rupture Science Meeting in Brasilia, Brazil, in June 2019 to report on the findings from these studies. Fourteen technical papers from that meeting are presented in this Integrated Environmental Assessment and Management (IEAM) special series. These papers and the technical discussions at the meeting reflect the consensus opinions of scientists who attended the symposium. Delegates generally agreed that society must commit to rehabilitation after disasters based on the best available evidence describing the structure and function of affected ecosystems. Scientists can play a crucial role in prioritizing and facilitating rehabilitation actions, as well as monitoring for progress toward achieving goals. Integr Environ Assess Manag 2020;16:569–571. © 2020 SETAC
The potential of breast cancer screening in Europe
Authors: Zielonke Nadine , Kregting Lindy M. , Heijnsdijk Eveline A. M. , Veerus Piret , Heinävaara Sirpa , McKee Martin , de Kok Inge M. C. M. , de Koning Harry J. , van Ravesteyn Nicolien T. ,   the EU‐TOPIA collaborators
Published: July 2020

AbstractCurrently, all European countries offer some form of breast cancer screening. Nevertheless, disparities exist in the status of implementation, attendance and the extent of opportunistic screening. As a result, breast cancer screening has not yet reached its full potential. We examined how many breast cancer deaths could be prevented if all European countries would biennially screen all women aged 50 to 69 for breast cancer. We calculated the number of breast cancer deaths already prevented due to screening as well as the number of breast cancer deaths which could be additionally prevented if the total examination coverage (organised plus opportunistic) would reach 100%. The calculations are based on total examination coverage in women aged 50 to 69, the annual number of breast cancer deaths for women aged 50 to 74 and the maximal possible mortality reduction from breast cancer, assuming similar effectiveness of organised and opportunistic screening. The total examination coverage ranged from 49% (East), 62% (West), 64% (North) to 69% (South). Yearly 21 680 breast cancer deaths have already been prevented due to mammography screening. If all countries would reach 100% examination coverage, 12 434 additional breast cancer deaths could be prevented annually, with the biggest potential in Eastern Europe. With maximum coverage, 23% of their breast cancer deaths could be additionally prevented, while in Western Europe it could be 21%, in Southern Europe 15% and in Northern Europe 9%. Our study illustrates that by further optimising screening coverage, the number of breast cancer deaths in Europe can be lowered substantially.
Leukocyte telomere length, cancer incidence and all‐cause mortality among Chinese adults: Singapore Chinese Health Study
Authors: Samavat Hamed , Luu Hung N. , Beckman Kenneth B. , Jin Aizhen , Wang Renwei , Koh Woon‐Puay , Yuan Jian‐Min 
Published: July 2020

AbstractTelomeres play a key role in chromosomal maintenance and stability. To date, few studies have investigated the association of leukocyte telomere length with risk of cancer incidence and all‐cause mortality in a large prospective cohort, particularly of the Asian population. Relative telomere lengths in genomic DNA from peripheral blood samples were quantified using a validated quantitative real‐time PCR among 26 540 middle‐aged or older Chinese adults. Hazard ratios (HRs) and 95% confidence intervals (CIs) of cancer and deaths by quintiles of telomere length were calculated using the Cox proportional hazards regression method with adjustment for age, sex and other potential confounders. After baseline blood collection, 4353 persons developed cancer and 7609 died. Participants with the longest decile of telomeres had a 26% (95% CI: 11%‐44%) higher risk of total cancer incidence compared to the shortest decile after controlling for age, sex and other potential founders (Ptrend < .0001). In contrast, longer telomeres were associated with lower risk of all‐cause mortality (HR = 0.93; 95% CI: 0.84‐1.03), noncancer death (HR = 0.81; 95% CI: 0.71‐0.92), specifically, death from chronic obstructive pulmonary disease and pneumonia (HR = 0.79, 95% CI: 0.70‐0.89) and digestive diseases (HR = 0.60, 95% CI: 0.42‐0.88). Our findings demonstrated that longer telomeres are associated with increased risk of cancer development overall and several common cancer types including breast, rectal, prostate, pancreatic cancer and lung adenocarcinoma. Our study also confirmed that longer telomeres are associated with a reduced risk of noncancer related death.
Risk of secondary hematologic malignancies associated with breast cancer chemotherapy and G‐CSF support: A nationwide population‐based cohort
Authors: Jabagi Marie Joelle , Vey Norbert , Goncalves Anthony , Le Tri Thien , Zureik Mahmoud , Dray‐spira Rosemary 
Published: July 2020

AbstractOur study aimed to analyze the risk of hematologic malignancies (HM) associated with the use of G‐CSF with chemotherapy for BC. Using the French National Health Data System, we examined the HM risks in patients diagnosed with an incident breast cancer between 2007 and 2015, who received chemotherapy for BC. Main outcomes were acute myeloid leukemia (AML), Myelodysplastic syndrome (MDS), myeloproliferative neoplasms (MPNs), multiple myeloma (MM), Hodgkin lymphoma or non‐Hodgkin lymphoma (HL/NHL) and acute lymphoblastic leukemia or lymphocytic lymphoma (ALL/LL). Among a total of 122 373 BC survivors, 38.9% received chemotherapy only and 61.1% received chemotherapy + G‐CSF. Overall, 781 cases of hematologic malignancies occurred. We observed a nonsignificant increase in the risk of AML (aHR, 1.3; 95% CI, 1.0‐1.7), of MDS (aHR, 1.3; 95% CI, 0.9‐1.8) and of ALL/LL (aHR, 2.0; 95% CI, 1.0‐4.4) among patients treated by chemotherapy + G‐CSF compared to chemotherapy only. In analyses by dose, we observed a slight increase in the risk of AML (1‐3 doses: aHR, 1.2; 95% CI, 0.8‐1.7/4+ doses: aHR, 1.3; 95% CI, 1.0‐1.8) and of MDS (1‐3 doses: aHR, 1.1; 95% CI, 0.7‐1.7/4+ doses: aHR, 1.4; 95% CI, 1.0‐1.9), a significant increase in risk of ALL (1‐3 doses: aHR, 1.5; 95% CI, 0.5‐3.9 / 4+ doses: aHR, 2.3; 95% CI, 1.0‐5.1) with increasing cycles of G‐CSF. Our population‐based study showed that the ALL/LL was the only HM at increased risk with the use of growth factors with a possible dose‐effect relationship. Our data regarding the risk of all the other HM are reassuring.