bluuebunny/crossref_metadata_2025_split huggingface dataset:
How does parents’ social support impact children’s health practice? Examining a mediating role of health knowledge
Authors: Straughan Paulin Tay , Xu Chengwei 
Published: July 2022

Abstract
Background: Many existing studies have found that social support and health knowledge positively affect an individual's health status. However, it is still unclear how parents’ social support and health knowledge influence their children’s obesity. The present study hypothesizes that parents’ health knowledge has a mediating effect on the relationship between social support and children’s health practice regarding weight management.Methods: To test the hypothesis, we conducted a questionnaire survey in Singapore and collected a nationally representative sample of 1488 household responses. Structural equation modeling (SEM) via Stata was used to examine the indirect effects of parents’ social support on children’s health practice. Results: The results of our analysis support our hypothesis. Specifically, (1) parental perceived social support shows a positive relationship with health knowledge (e.g., BMI and nutrition knowledge); (2) parents’ social support and health knowledge positively associate with children’s health practice in weight management (e.g., physical exercises); and (3) a significant amount of indirect effects of parental social support is mediated by parents’ health knowledge. Conclusion: The current study tests a mediation model that bridges social support theories, health knowledge literature, and childhood obesity research. The present study provides fresh evidence from a multi-cultural context to understand the relationships between parents’ health knowledge and social support and children’s obesity-related health practices. Our findings support the argument that social support from parents’ social networks does not necessarily promote health outcomes. The only social support that carries proper health knowledge can facilitate good health practices. The policy implications of promoting health practice through social support and health knowledge are discussed.
Genome-wide identification and expression analysis of the SPL transcription factor family and its response to abiotic stress in Quinoa (Chenopodium quinoa)
Authors: Ren Yanyan , Ma Rui , Fan Yue , Zhao Bing Jie , Cheng Peng , Fan Yu , Wang Bao Tong 
Published: July 2022

Abstract
Background
Squamous promoter binding protein-like (SPL) is a class of transcription factors that plays an essential role in plant growth and development, signal transduction, and responses to biotic and abiotic stresses. The rapid development of whole-genome sequencing has enabled the identification and characterization of the SPL gene families in many plant species; these genes have not been identified or characterized in quinoa.
Results
These SPL genes were classified into eight subfamilies based on the homology with Arabidopsis thaliana. We selected three dicotyledons and monocotyledons representatives, each associated with C. quinoa, for comparative sympatric mapping to better understand the evolutionary developmental mechanisms of the CqSPL family. Furthermore, 15 representative genes from eight subfamilies were used to characterize the gene expression responses CqSPLs in different tissues and different fruit developmental stages under six different abiotic stresses. This study identified 23 SPL genes in quinoa and were unevenly distributed on 18 quinoa chromosomes.
Conclusions
This study, being the first to identify and characterize C. quinoa SPLs (CqSPLs), reports that CqSPL genes, especially CqSPL1, play a critical role in quinoa development and its response to various abiotic stresses response.
Impact of copper nanoparticles and copper ions on transcripts involved in neural repair mechanisms in rainbow trout olfactory mucosa
Authors: Razmara parastoo , Pyle Gregory 
Published: July 2022

Abstract
Olfactory mucosa is well-known for its lifelong ability for regeneration. Regeneration of neurons and regrowth of severed axons are the most common neural repair mechanisms in olfactory mucosa. Nonetheless, exposure to neurotoxic contaminants, such as copper nanoparticles (CuNPs) and copper ions (Cu 2+ ), may alter the reparative capacity of olfactory mucosa. Here, using RNA-sequencing, we investigated the molecular basis of neural repair mechanisms that were affected by CuNPs and Cu 2+ in rainbow trout olfactory mucosa. The transcript profile of olfactory mucosa suggested that regeneration of neurons was inhibited by CuNPs. Exposure to CuNPs reduced the transcript abundances of pro-inflammatory proteins which are required to initiate neuroregeneration. Moreover, the transcript of genes encoding regeneration promoters, including canonical Wnt/β-catenin signaling proteins and developmental transcription factors, were downregulated in the CuNP-treated fish. The mRNA levels of genes regulating axonal regrowth, including the growth-promoting signals secreted from olfactory ensheathing cells, were mainly increased in the CuNP treatment. However, the reduced transcript abundances of a few cell adhesion molecules and neural polarity genes may restrict axonogenesis in the CuNP-exposed olfactory mucosa. In the Cu 2+ -treated olfactory mucosa, both neural repair strategies were initiated at the transcript level. The stimulation of repair mechanisms can lead to the recovery of Cu 2+ -induced olfactory dysfunction. These results indicated CuNPs and Cu 2+ were differentially affected the neural repair mechanism in olfactory mucosa. Exposure to CuNP had greater effects on olfactory repair mechanisms relative to Cu 2+ and dysregulated the transcripts associated with stem cell proliferation and neural reconstitution.
Effects of systematic data reduction on trend estimation from German registration trials
Authors: Hartung Jens , Laidig Friedrich , Piepho Hans-Peter 
Published: July 2022

Abstract
Increasing yield trends are seen on-farm in Germany. The increase is based on genetic trend and changes in agronomic practices and climate. To estimate both genetic and non-genetic trends, historical VCU datasets can be analyzed. Such analyses are based on genotypes submitted by breeders and hence represent the post-breeding population of genotypes. By contrast, on-farm genetic trend is based on registered varieties only (post-registration population). To assess post-registration genetic trend, historical VCU trial datasets are often reduced, e.g. to registered varieties only. This kind of drop-out mechanism is statistically informative which affects variance component estimates and which can affect trend estimates. To investigate the effect of this informative drop-out on trend estimates, a simulation study was conducted mimicking the structure of German winter wheat VCU trials. Zero post-breeding trends were simulated. Results showed unbiased estimates of post-breeding trends when using all data. When restricting data to genotypes tested for at least three years, a positive genetic trend of 0.11 dt ha-1 year-1 and a negative non-genetic trend (-0.11 dt ha-1 year-1) were observed. Bias increased with increasing genotype-by-year variance and disappeared with random selection, which we simulated as a benchmark. As selection intensity in VCU trials is lower due to complex decisions that consider many traits compared to the simulated single-trait selection, the observed bias is an upper bound for the bias expected in practice. We conclude that bias relative to post-breeding trends is not dramatic. Unbiased estimates of post-registration genetic trend are best obtained from post-registration trials.
Enabling Rapid X-ray CT Characterisation for Additive Manufacturing Using CAD models and Deep Learning-based Reconstruction
Authors: Ziabari Amir , Singanallur Venkat , Snow Zackary , Lisovich Aleksander , Sprayberry Michael , Brackman Paul , Frederick Curtis , Bhattad Pradeep , Graham Sarah , Bingham Philip , Dehoff Ryan , Plotkowsli Alex J , Paquit Vincent 
Published: July 2022

Abstract
Metal additive manufacturing (AM) offers significant opportunities for flexible, efficient, and cost-effective printing of highly complex parts.
Despite recent successes, metal AM is still limited to relatively few alloys.
In order to qualify new alloys for metal AM, process parameters must be optimised to produce high-quality and consistent components.
However, process parameter optimisation is often a challenging and cost-prohibitive task.
In this work, we propose a novel, deep learning-based approach that allows for fast, high-quality, non-destructive characterisation of AM parts from sparse X-ray computed tomography (CT) measurements.
The proposed approach rapidly produces high-quality reconstructions from fast X-ray CT scans of metal AM parts by leveraging digital models of the component and physics-based simulations of nonlinear interactions between X-ray radiation and metals, significantly reducing beam hardening, metal, and other common X-ray CT artifacts.
The method allows for batch characterisation of hundreds of AM parts printed on the same plate with different printing parameters, paving the way for identifying the optimum printing parameters for new AM materials.
We present results for an experimental case study illustrating the practical utility of our method.
The proposed approach not only produced accurate 3D volumetric reconstruction images of the parts from their respective sparsely measured X-ray CT scans but also resulted in both a 300% reduction in total scan time and more than 4X improvement in probability of flaw detection in post-processing analysis of the data.
This has enabled us to rapidly search for and identify useful process parameters that can lead to high-quality parts made from a novel AlCe alloy.
Organic-Soluble Compounds in Asteroid Ryugu Samples A0106 and C0107 and the Orgueil (CI1) Meteorite
Authors: Aponte Jose Carlos , Dworkin Jason , Glavin Daniel , Elsila Jamie , Parker Eric , McLain Hannah , Naraoka Hiroshi , Okazaki Ryuji , Takano Yoshinori , Tachibana Shogo , Zeichner Sarah , Eiler John , Yurimoto Hisayoshi , Nakamura Tomoki , Yabuta Hikaru , Terui Fuyuto , Noguchi Takaaki , Sakamoto Kanako , Yada Toru , Nishimura Masahiro , Nakato Aiko , Miyazaki Akiko , Yogata Kasumi , Abe Masanao , Okada Tatsuaki , Usui Tomohiro , Yoshikawa Makoto , Saiki Takanao , Tanaka Satoshi , Nakazawa Satoru , Tsuda Yuichi , Watanabe Sei-ichiro 
Published: July 2022

Abstract
Evaluating the molecular distribution of organic compounds in pristine extraterrestrial materials is cornerstone to understanding the abiotic synthesis of organics and allows us to better understand the molecular diversity available during the formation of our solar system and before the origins of life on Earth. In this work we identify multiple organic compounds in solvent extracts of asteroid Ryugu samples A0106 and C0107 and the Orgueil meteorite using two-dimensional gas chromatography and time-of-flight high resolution mass spectrometry (GC×GC-HRMS). Our analyses found similarities between the molecular distribution of organic compounds in Ryugu and the CI carbonaceous chondrite Orgueil. Specifically, several PAHs and organosulfides were found in Ryugu and Orgueil suggesting an interstellar and parent body origin for these compounds. We also evaluated the common relationship between Ryugu, Orgueil, and comets like Wild-2; however, until comprehensive compound-specific isotopic analyses for these organic species are undertaken, and until the effects of parent body processes and Earth’s weathering processes on meteoritic organics are better understood, their parent-daughter relationships will remain unanswered. Finally, the study of organic compounds in Ryugu samples and the curation practices for the future preservation of these unvaluable materials are also of special interest for future sample return missions, including NASA’s OSIRIS-REx asteroid sample return mission.
P450 electron transfer mechanics: unravelling the evolutionary role of transient redox protein complexes
Authors: Lepesheva Galina , Hargrove Tatiana , Lamb David , Smith Jarrod , Wawrzak Zdzislaw , Kelly Steven 
Published: July 2022

Abstract
The molecular evolution of cytochromes P450 and associated redox-driven oxidative catalysis remains amystery in biology. It is widely believed that sterol 14alpha-demethylase (CYP51), an essential enzyme ofsterol biosynthesis, is the ancestor of the whole P450 superfamily given its conservation across species indifferent biological kingdoms. Herein we have utilized X-ray crystallography, molecular dynamicssimulations, phylogenetics and electron transfer measurements to interrogate the nature of P450-redoxpartner binding using the naturally occurring fusion protein, CYP51-ferredoxin found in the sterolproducing bacterium Methylococcus capsulatus. Our data advocates that the electron transfer mechanicsin the M. capsulatus CYP51-ferredoxin fusion protein involves an ensemble of ferredoxin molecules invarious orientations and the interactions are transient. Close proximity of ferredoxin, however, is requiredto complete the substrate-induced large-scale structural switch in the P450 domain that enables protoncoupled electron transfer and subsequent oxygen scission and catalysis. These results have fundamentalimplications regarding the early evolution of electron transfer proteins and for the redox reactions in theearly steps of sterol biosynthesis. They also shed new light on redox protein mechanics and the subsequentdiversification of the P450 electron transfer machinery in nature.
Gold miners shoot up malaria transmission in indigenous territories of Roraima state, Brazil
Authors: Barros Jacqueline de Aguiar , Granja Fabiana , Pequeno Pedro , Marchesini Paola , Cruz Maria de Fátima Ferreira da 
Published: July 2022

Abstract
Background: Endemic malaria is present in all 15 municipalities of Roraima state, Brazilian Amazonia. Knowledge of epidemiological data of specific populations can guide health policies to formulate effective strategies for integrated control of health-disease care. This study aims to know when, where and who fell ill with malaria in Roraima state from 2010 to 2020. Methods: This descriptive study was based on statistical secondary surveillance data through the analysis of relationships underlying numbers of cases, hospitalizations, and deaths using Malaria Epidemiological Surveillance Information System, Mortality Information System, and Hospitalization Information System.Results: From 2010 to 2020, there were 138,504 autochthonous cases, 26,158 Venezuelan imported cases, 3.765 hospitalizations and 77 deaths from malaria reported in Roraima. Annual Parasitic Incidence and the number of hospitalizations showed expressive changes over the period, but without significantly correlating with number of deaths. The proportion of P. falciparum infections had significant shifts throughout this study. Malaria prevalence in indigenous and mining areas has been increasing since 2014. Conclusion: The presence of miners in Yanomami indigenous areas is a reality that has been contributing to the increase of malaria cases in Roraima. The need to implement health policies that also meet this contingent is reinforced.
Characterization of a novel GH5 endoxylanase from Penicillium funiculosum and its synergism with GH16 endo-1,3(4)-glucanase in saccharification of sugarcane bagasse
Authors: Ogunyewo Olusola A. , Okereke Omoaruemike E. , Kumar Sandeep , Yazdani Syed Shams 
Published: July 2022

Abstract
The production of second-generation fuels from lignocellulosic residues such as sugarcane bagasse (SCB) requires the synergistic interaction of key cellulose degrading enzymes and accessory proteins for their complete deconstruction to useful monomeric sugars. Here, we recombinantly expressed and characterized an unknown GH5 xylanase from P. funiculosum (PfXyn5) in Pichia pastoris, which was earlier found in our study to be highly implicated in SCB saccharification. The PfXyn5 has a molecular mass of ~ 55 kDa and showed broad activity against a range of substrates like xylan, xyloglucan, laminarin and p-nitrophenyl-β-d-xylopyranoside, with highest specific activity of 0.7 U/mg against xylan at pH 4.5 and 50 oC. Analysis of the degradation products of xylan and SCB by PfXyn5 showed significant production of xylooligosaccharides (XOS) with a degree of polymerization (DP) ranging from two (DP2) to six (DP6), thus, suggesting that the PfXyn5 is an endo-acting enzyme. The enzyme synergistically improved the saccharification of SCB when combined with crude cellulase cocktail of P. funiculosum with degree of synergism up to 1.32. The PfXyn5 was further expressed individually and simultaneously with a notable GH16 endoglucanase (PfEgl16) in a catabolite-derepressed strain of P. funiculosum, PfMig188, and the saccharification efficiency of the secretomes from the resulting transformants were investigated on SCB. The secretome of PfMig188 overexpressing Xyn5 or Egl16 increased the saccharification of SCB by 9% and 7%, respectively, over the secretome of PfMig188 while the secretome of dual transformant increased SCB saccharification by ~ 15% at the same minimal protein concentration.
An Inversion Method for NMR Weak Signals with Short Relaxation Time
Authors: Lu Rongsheng , Yu Qiaoming , Chen Lang , Jiang Xiaowen , Wu Zhengxiu , Bao Chong , Ni Zhonghua , Yi Hong 
Published: July 2022

Abstract
This paper proposes an inversion method for nuclear magnetic resonance (NMR) relaxation signals with a low signal-to-noise ratio (SNR) to solve the inversion problem of NMR weak signals with short relaxation components. This method selects a suitable filter factor for inversion by combining the singular value decomposition (SVD) method and the Tikhonov method. Compared with the existing inversion methods, the relaxation time spectrum based on the proposed method is closer to the original spectrum of the NMR simulation signal, especially on short relaxation components when the signal is weak. The reliability of the proposed method under the different SNRs was proved by calculating the uncertainty of the solutions. The ability to obtain precise relaxation times was proved by experimental measurement and inversion analysis of samples with multiple relaxation components. And the changes rule of components in the cement hydration process found by identifying the weak signal with short relaxation components is valid. In conclusion, the inversion method proposed can effectively distinguish the weak NMR signal with short relaxation times, which plays an important role in finding the key components of the sample and characterizing its physical properties, thus promoting the application of NMR relaxation technology.
Chicken eggs from backyard production as a source of PCDD/F and PCB - risk for consumers
Authors: Pajurek Marek , Mikolajczyk Szczepan , Warenik-Bany Malgorzata 
Published: July 2022

Abstract
Backyard production of chicken eggs is becoming more popular among consumers, who expect that the food has high nutritional value. Unfortunately, eggs from free-range production tend to be contaminated by toxic substances such PCDD/Fs and PCBs. The aim of our study was source investigation after finding high level of dioxins in samples of free-range eggs (4.02 ± 0.66 pg WHO-TEQ g-1fat) from one of the inspected farms. Concentrations exceeding EU maximum permissible levels (1259/2011/EU) were found in all sampled hen eggs and muscles from the farm. Feed was not a source of contamination because a low level, below LOQ, was found. Soil samples taken from the backyard contained 72.91 ± 18.21 pg PCDD/F/DL-PCB-WHO-TEQ g-1 dry mas and 206.77 ± 46.88 ng NDL-PCB g-1 dry mas. It was found that the soil was contaminated by oil which came from a tractor engine. Analysis of the engine oil showed a high concentration of PCDD/F/DL-PCB 1013 ± 253 pg WHO-TEQ g-1 oil, and NDL-PCB 5644 ± 1279 ng g-1 oil. The dioxin profiles in the hen eggs and soil showed similarity to the oil. Consumption of the eggs resulted in the TWI dose (2 pg WHO-TEQ kg-1 body weight) being exceeded in children.
Transcriptomic and metabolomic profiling of flavonoid biosynthesis provide novel insights into petals coloration in Asian cotton (Gossypium arboreum L.)
Authors: Xing Aishuang , Wang Xiaoyang , Nazir Mian Faisal , Zhang Xiaomeng , Wang Xiuxiu , Yang Ru , Chen Baojun , Fu Guoyong , Wang Jingjing , Ge Hao , Peng Zhen , Jia Yinhua , He Shoupu , Du Xiongming 
Published: July 2022

Abstract
Background
Flower color affects insect pollination and the ornamental value of plants. Studying flower color improves the rate of plant hybridization and thus enriches the diversity of germplasm resources meanwhile, it also impacts the development of the horticultural industry. However, there is a clear lack of studies concerning intricate mechanism cotton flower-color differentiation. Hereby, we report an integrative approach utilizing transcriptome and metabolome concerning flower color variation in three Gossypium arboreum cultivars.
Results
A total of 215 differentially accumulated metabolites (DAMs) were identified, including 83 differentially accumulated flavonoid metabolites (DAFs). Colorless kaempferol was more abundant in white flowers, while gossypetin-fer showed specificity in white flowers. Quercetin and gossypetin were the main contributors to yellow petal formation. Pelargonidin 3-O-beta-D-glucoside and cyanidin-3-O-(6''-Malonylglucoside) showed high accumulation levels in purple petals. Quercetin and gossypetin pigments also promoted purple flower coloration. Moreover, 8178 differential expressed genes (DEGs) were identified by RNA sequencing. The correlation results between total anthocyanins and DEGs were explored and indicated that 10 key structural genes and 29 transcription factors promoted anthocyanin biosynthesis and could be candidates for anthocyanin accumulation. Finally, we constructed co-expression networks of key DAFs and DEGs, demonstrated the interactions between specific metabolites and transcripts in different color flowers.
Conclusion
This study provides new insights into elucidating the regulatory mechanisms of cotton flower color.
Phenotypic and functional characterisation of locally produced natural killer cells ex vivo expanded with the K562-41BBL-mbIL21 cell line
Authors: Shman Tatsiana , Vashkevich Katsiaryna , Migas Aleksandr , Matveyenka Mikhail , Lasyukov Eugeniy , Muhametshina Anastasia , Horbach Katsiaryna , Aleinikova Olga 
Published: July 2022

Abstract
We characterise the expansion, phenotype and functional activity of natural killer (NK) cells obtained for a linical trial. Nineteen expansion procedures were performed to obtain NK cell products for 16 patients. NK cells were ex vivo expanded from haploidentical donor peripheral blood mononuclear cells in the presence of the locally generated feeder cell line K-562 with ectopic expression of 4-1BBL and mbIL-21.The median duration of expansion was 18 days (range 14–25). The median number of live cells yielded was 2.26 × 109 (range 0.89–5.5 × 109) with an NK content of 96.6% (range 89.0%–98.8%). The median NK cell fold expansion was 224.7 (range 42–647). The majority of expanded NK cells had the phenotype of immature activated cells (NKG2A+, double bright CD56++CD16++, CD57-) expressing NKp30, NKp44, NKp46, NKG2D, CD69, HLA-DR and CD96. Despite the expression of exhaustion markers, expanded NK cells exhibited high cytolytic activity against leukaemia cell lines, high degranulation activity and production of cytokines. There was noted decreased functional activity of NK cells in tests against the patient’s blasts.NK cells obtained by ex vivo expansion with locally generated K562-41BBL-mbIL21 cells have both a relatively undifferentiated phenotype and enhanced cytolytic activity against cancer cell lines. Expansion of NK cells with the feeder cells allows obtaining a sufficient quantity of the NK cell product to reach high cell doses or increase the frequency of cell infusions for adoptive immunotherapy. Registered at clinicaltrials.gov as NCT04327037.