bluuebunny/crossref_metadata_2025_split huggingface dataset:
Self-harm in Young People: Investigating the Role of Resilience and Posttraumatic Stress Related to the COVID-19 Pandemic
Authors: Nearchou Finiki 
Published: December 2022

AbstractEvidence shows that young people may have experienced increased levels of posttraumatic stress and depression during the COVID-19 pandemic. However, the landscape on self-harm is still unclear. This study aimed to examine the role of COVID-19 related posttraumatic stress, depression and resilience as predictors of self-harm with and without suicidal intent. Participants were 625 young people aged 17–25 years old (M = 20.2 years, SD = 2.47). Resilience was measured using the self-reported Child & Youth Resilience Scale Measure – Revised (CYRM-R). Posttraumatic stress related to COVID-19 were measured using the Impact of Event Scale- Revised. Depression was measured using the depression subscale of the Depression, Anxiety and Stress Scale–21. Self-harm was evaluated with two dichotomous items. Participants reported high levels of depression and COVID-19 posttraumatic stress, and a significant percentage reported engaging in self-harm. Hierarchical logistic regressions showed that caregiver resilience decreased approximately 20% the odds of engaging in self harm with and without suicidal intent remaining a consistent predictor even after accounting posttraumatic stress and depression in the models. Posttraumatic stress and depression predicted a one-fold increase in the odds of engaging in self-harm with and without suicidal intent. However, posttraumatic stress was no longer a significant predictor when depression was entered in the model in self-harm without suicidal intent. The COVID-19 pandemic may have increased the likelihood of engaging in self-harm in young people. However, caregiver resilience seems to operate as a protective factor. This important finding carries implications beyond the context of the COVID-19 pandemic.
Success concepts for causal discovery
Authors: Genin Konstantin , Mayo-Wilson Conor 
Published: December 2022

AbstractExisting causal discovery algorithms are often evaluated using two success criteria, one that is typically unachievable and the other which is too weak for practical purposes. The unachievable criterion—uniform consistency—requires that a discovery algorithm identify the correct causal structure at a known sample size. The weak but achievable criterion— pointwise consistency—requires only that one identify the correct causal structure in the limit. We investigate two intermediate success criteria—decidability and progressive solvability—that are stricter than mere consistency but weaker than uniform consistency. To do so, we review several topological theorems characterizing which discovery problems are decidable and/or progressively solvable. These theorems apply to any problem of statistical model selection, but in this paper, we apply the theorems only to selection of causal models. We show, under several common modeling assumptions, that there is no uniformly consistent procedure for identifying the direction of a causal edge, but there are statistical decision procedures and progressive solutions. We focus on linear models in which the error terms are either non-Gaussian or contain no Gaussian components; the latter modeling assumption is novel to this paper. We focus especially on which success criteria remain feasible when confounders are present.
An Adaptive Nonlinear Iterative Method for Predicting Seafloor Topography From Altimetry‐Derived Gravity Data
Authors: Xu Chuang , Li Jinbo , Jian Guangyu , Wu Yunlong , Zhang Yu 
Published: December 2022

AbstractThe ocean covers 71% of the Earth's surface. At present, only about 20% of the seafloor topography (ST) has been directly measured by ships, and most areas are predicted from satellite altimetry‐derived gravity products. In this study, an adaptive nonlinear iterative (ANI) method is proposed to address two major problems in gravity ST inversion: linear approximation and empirical seafloor density contrast (SDC). In ANI, the SDC is adaptively estimated as an output, while higher‐order Parker expansion and modified Bott's iteration are combined to recover nonlinear topography. We apply our new method using the DTU21GRA altimetric gravity model and single‐beam bathymetry to predict the ST in a part of the South China Sea. Results reveal that the average SDC in the study area is 1.24 g/cm3, which compares well to CRUST1.0. The root‐mean‐square (RMS) error between the nonlinear model and single‐beam checkpoints is 102.1 m, which is improved by 34.5%, 29.2%, and 18.3% compared with the non‐gravity model, topo_24.1, and linear model, respectively. The RMS error between the nonlinear model and multibeam bathymetry is 91.0 m, which is better than the linear model. Analysis of two‐dimensional profiles shows that the nonlinear model reveals more terrain details than the linear model.
Dietary inclusion of nitrite-containing frankfurter exacerbates colorectal cancer pathology and alters metabolism in APCmin mice
Authors: Crowe William , Pan Xiaobei , Mackle James , Harris Adam , Hardiman Gary , Elliott Christopher T. , Green Brian D. 
Published: December 2022

AbstractColorectal cancer (CRC) is the second most prevelant malignancy in Europe and diet is an important modifiable risk factor. Processed meat consumption, including meats with preservative salts such as sodium nitrite, have been implicated in CRC pathogenesis. This study investigated how the CRC pathology and metabolic status of adenomatous polyposis coli (APC) multiple intestinal neoplasia (min) mice was perturbed following 8 weeks of pork meat consumption. Dietary inclusions (15%) of either nitrite-free pork, nitrite-free sausage, or nitrite-containing sausage (frankfurter) were compared against a parallel control group (100% chow). Comprehensive studies investigated: gastrointestinal tract histology (tumours), aberrant crypt foci (ACF), mucin deplin foci (MDF), lipid peroxidation (urine and serum), faecal microbiota, and serum metabolomics (599 metabolites). After 8 weeks mice consuming the frankfurter diet had 53% more (P = 0.014) gastrointestinal tumours than control, although ACF and MDF did not differ. Urine and serum lipid peroxidation markers were 59% (P = 0.001) and 108% (P = 0.001) higher, respectively in the frankfurter group. Gut dysbiosis was evident in these mice with comparably fewer Bacteriodes and more Firmicutes. Fasting serum levels of trimethylamine N-oxide (TMAO) and numerous triglycerides were elevated. Various serum phosphotidylcholine species were decreased. These results demonstrate that nitrite-containing sausages may exaccerbate the development of CRC pathology in APCMin mice to a greater extent than nitrite-free sausages, and this is associated with greater lipid peroxidation, wide-ranging metabolic alternation and gut dysbiosis.
Water pumping effect over the organic ions defined graphene oxide membrane impulses high flux desalination
Authors: Gong Dian , Liu Xing , Wu Ping , Wang Yue , Guo Bing , Liu Sijia , Chen Huiling , Yin Yichen , Liu Guojuan , Liu Minghao , Miao Qiyang , Yu Chengbing , Fan Jingrui , Li Zhi , Shi Guosheng , Sun Yuhan , He Yue , Zeng Gaofeng 
Published: December 2022

AbstractGraphene oxide (GO) membranes have shown great potential in ionic sieving from aqueous solutions. However, it remains challenging for GO membranes to exclude small ions with a large water flux. Herein, organic ions are confined onto the GO interlaminations to form a precisely restricted 2D channel size of 0.71 nm, which presents >99.9% NaCl rejections and high freshwater fluxes via the pervaporation method, both being orders of magnitude higher than that of common GO membranes. Theoretical calculations reveal that, apart from controlling the 2D channel size of GO by strong cation–/anion–π and π–π interactions, the organic ions act as vapor traps to remarkably shorten vapor diffusion distance and then as water pumps to significantly enlarge water permeability. It not only theoretically explains the low permeability over the common GO membranes with large 2D channels, but also experimentally demonstrates fast and complete desalination on the organic ions-GO membrane.
DYRK2 downregulation in colorectal cancer leads to epithelial–mesenchymal transition induction and chemoresistance
Authors: Wu Chunrong , Sun Guiyin , Wang Fan , Chen Jiangyan , Zhan Fangbiao , Lian Xiaojuan , Wang Jie , Weng Fanbin , Li Bo , Tang Weijun , Quan Jin , Xiang Debing 
Published: December 2022

AbstractColorectal cancer (CRC) is among the most prominent causes of cancer-associated mortality in the world, with chemoresistance representing one of the leading causes of treatment failure. However, the mechanisms governing such chemoresistance remain incompletely understood. In this study, the role of DYRK2 as a mediator of CRC cell drug resistance and the associated molecular mechanisms were assessed by evaluating human tumor tissue samples, CRC cell lines, and animal model systems. Initial analyses of The Cancer Genome Atlas database and clinical tissue microarrays revealed significant DYRK2 downregulation in CRC in a manner correlated with poor prognosis. We further generated LoVo CRC cells that were resistant to the chemotherapeutic drug 5-FU, and found that such chemoresistance was associated with the downregulation of DYRK2 and a more aggressive mesenchymal phenotype. When DYRK2 was overexpressed in these cells, their proliferative, migratory, and invasive activities were reduced and they were more prone to apoptotic death. DYRK2 overexpression was also associated with enhanced chemosensitivity and the inhibition of epithelial–mesenchymal transition (EMT) induction in these LoVo 5-FUR cells. Co-immunoprecipitation assays revealed that DYRK2 bound to Twist and promoted its proteasomal degradation. In vivo studies further confirmed that the overexpression of DYRK2 inhibited human CRC xenograft tumor growth with concomitant Twist downregulation. Overall, these results thus highlight DYRK2 as a promising therapeutic target in CRC worthy of further investigation.
Vickers hardness prediction from machine learning methods
Authors: Dovale-Farelo Viviana , Tavadze Pedram , Lang Logan , Bautista-Hernandez Alejandro , Romero Aldo H. 
Published: December 2022

AbstractThe search for new superhard materials is of great interest for extreme industrial applications. However, the theoretical prediction of hardness is still a challenge for the scientific community, given the difficulty of modeling plastic behavior of solids. Different hardness models have been proposed over the years. Still, they are either too complicated to use, inaccurate when extrapolating to a wide variety of solids or require coding knowledge. In this investigation, we built a successful machine learning model that implements Gradient Boosting Regressor (GBR) to predict hardness and uses the mechanical properties of a solid (bulk modulus, shear modulus, Young’s modulus, and Poisson’s ratio) as input variables. The model was trained with an experimental Vickers hardness database of 143 materials, assuring various kinds of compounds. The input properties were calculated from the theoretical elastic tensor. The Materials Project’s database was explored to search for new superhard materials, and our results are in good agreement with the experimental data available. Other alternative models to compute hardness from mechanical properties are also discussed in this work. Our results are available in a free-access easy to use online application to be further used in future studies of new materials at www.hardnesscalculator.com.
In vitro evaluation of immunomodulatory, anti-diabetic, and anti-cancer molecular mechanisms of Tribulus terrestris extracts
Authors: Khalid Abdullah , Nadeem Tariq , Khan Muhammad Asaf , Ali Qurban , Zubair Muhammad 
Published: December 2022

AbstractDampened immunity and impaired wound healing in diabetic patients may lead to diabetic foot ulcer disease, which is the leading cause of limb amputations and hospitalization. On the other hand, cancer is the most significant cause of mortality globally, accounting for over 10 million fatalities in 2020, or nearly one in every six deaths. Plants and herbs have been used to treat chronic diseases due to their essential pharmaceutical attributes, such as mitigating drug resistance, ameliorating systemic toxicities, reducing the need for synthetic chemotherapeutic agents,and strengthening the immune system. The present study has been designed to evaluate the effects of Tribulus terrestris on wound healing, cytotoxic and anti-inflammatory responses against HepG-2 liver cancer cell line. Two solvents (methanol and ethanol) were used for root extraction of T. terrestris. The wound healing potential of the extracts was studied on diabetic cell culture line by scratch assay. The anti-oxidant and cytotoxic potentials were evaluated by in vitro assays against HepG2 cell line. The methanolic root extract resulted in the coverage of robust radical scavenging or maximum inhibition of 66.72%,potent cytotoxic activity or reduced cell viability of 40.98%, and anti-diabetic activity having mighty α-glucosidase inhibition of 50.16% at a concentration of 80 μg/ml. Significant reduction in the levels of LDH leakage (56.38%), substantial ROS (48.45%) and SOD (72.13%) activities were recorededMoreover, gene expression analysis demonstrated the down-regulation of inflammatory markers (TNF-α, MMP-9, Bcl-2, and AFP) in HepG-2 cells when treated with T.terresteris methanolic extract as compared to stress. Furthermore, the down-regulation of inflammatory markers was validated through ELISA-mediated protein estimation of IL-1β and TNF-α. It is expected that this study will lay a foundation and lead to the development of efficient but low-cost, natural herbs extract-based dressing/ointment for diabetic patients and identify potential drug metabolites to treat out-of-whack inflammatory responses involved in cancer onset, progression, and metastasis.
Prevalence of infectious diseases in preterm infants: a 2-year follow-up from the Japan Environment and Children’s Study
Authors: Tamura Kentaro , Matsumura Kenta , Tsuchida Akiko , Yoshida Taketoshi , Inadera Hidekuni ,   The Japan Environment and Children’s Study (JECS) Group, Kamijima Michihiro , Yamazakii Shin , Ohya Yukihiro , Kishi Reiko , Yaegashi Nobuo , Hashimoto Koichi , Mori Chisato , Ito Shuichi , Yamagata Zentaro , Nakayama Takeo , Sobue Tomotaka , Shima Masayuki , Nakamura Hiroshige , Suganuma Narufumi , Kusuhara Koichi , Katoh Takahiko 
Published: December 2022

AbstractEvidence regarding the long-term risk of infections in preterm infants is lacking. In this study, we examined whether preterm infants developed various common childhood infections more frequently than full-term infants by the age of 2 years by analyzing data from a questionnaire completed by 67,282 mother–toddler pairs in a nationwide birth cohort study. Of the target population, 2885 (4.3%) were born prematurely. After covariate adjustment for maternal and children factors, lower respiratory tract infections appeared more frequent in preterm than in full-term infants at both 1 and 2 years (adjusted odds ratio [aOR] 1.21, 95% confidence interval [CI] 1.05–1.41, and aOR 1.27, 95% CI 1.11–1.46, respectively). However, there was no significant difference in the frequencies of lower respiratory tract infection between preterm and full-term infants after Palivizumab administration. The risk of other common infections, such as in the upper respiratory tract infection, otitis media, urinary tract infection, gastroenteritis, herpangina, hand-foot-and-mouth disease, chickenpox, influenza virus, and adenovirus infections, was not higher in preterm than in full-term infants after covariates adjustment for maternal and children factors. These findings suggest Palivizumab prophylaxis could reduce the frequencies of lower respiratory tract infection in preterm to the same level as in full-term infants.
Morphoanatomical and biochemical factors associated with rice resistance to the South American rice water weevil, Oryzophagus oryzae (Coleoptera: Curculionidae)
Authors: de Bastos Pazini Juliano , da Silva Martins José Francisco , da Rosa Dorneles Keilor , Lopes Crizel Rosane , da Silva Fernando Felisberto , Clasen Chaves Fábio , Fernando Juliana Aparecida , Dallagnol Leandro José , Seidel Enio Júnior , Stout Michael Joseph , Grützmacher Anderson Dionei 
Published: December 2022

AbstractThe rice water weevil, Oryzophagus oryzae (Coleoptera: Curculionidae), is an economically important pest of flooded rice paddies throughout South America, and species with similar life histories are present in many rice-producing regions globally (collectively referred to here as RWWs). Plant resistance is a key strategy for management of RWWs; however, the mechanisms responsible for rice resistance to RWWs are poorly understood. We investigated morphoanatomical and biochemical plant traits potentially involved in rice resistance to O. oryzae. Resistance-associated traits were characterized in two cultivars, ‘Dawn’ (resistant) and ‘BRS Pampa CL’ (‘Pamp’ = susceptible), which were selected from among six cultivars on 2-year field screenings. Anatomical and morphological traits of leaf tissues from ‘Pamp’ and ‘Dawn’ were similar, which perhaps explains the lack of antixenosis during host plant selection. However, significant antibiosis effects were found. The activities of antioxidant enzymes involved in plant defense, as well the content of hydroxycinnamic and hydroxybenzoic acids derivatives and lignin, were higher in roots of ‘Dawn’ than in ‘Pamp’, over the period of larval infestation in the field. Additionally, ‘Dawn’ exhibited a root sclerenchyma arranged in three layers of lignified cells, which differed from the arrangement of cells in ‘Pamp’, regardless of larval infestation. Our results provide the first evidence for specific resistance-related traits associated with mortality and malnutrition of RWWs in rice.
Molecular Tetris by sequence-specific stacking of hydrogen bonding molecular clips
Authors: Lee Hyun , Lee Dongwhan 
Published: December 2022

AbstractA face-to-face stacking of aromatic rings is an effective non-covalent strategy to build functional architectures, as elegantly exemplified with protein folding and polynucleotide assembly. However, weak, non-directional, and context-sensitive van der Waals forces pose a significant challenge if one wishes to construct well-organized π-stacks outside the confines of the biological matrix. To meet this design challenge, we have devised a rigid polycyclic template to create a non-collapsible void between two parallel oriented π-faces. In solution, these shape-persistent aromatic clips self-dimerize to form quadruple π-stacks, the thermodynamic stability of which is enhanced by self-complementary N–H···N hydrogen bonds, and finely regulated by the regioisomerism of the π-canopy unit. With assistance from sufficient electrostatic polarization of the π-surface and bifurcated hydrogen bonds, a small polyheterocyclic guest can effectively compete against the self-dimerization of the host to afford a triple π-stack inclusion complex. A combination of solution spectroscopic, X-ray crystallographic, and computational studies aided a detailed understanding of this cooperative vs competitive process to afford layered aromatics with extraordinary structural regularity and fidelity.
Expanding agroforestry can increase nitrate retention and mitigate the global impact of a leaky nitrogen cycle in croplands
Authors: Elrys Ahmed S. , Uwiragiye Yves , Zhang Yanhui , Abdel-Fattah Mohamed K. , Chen Zhao-xiong , Zhang Hui-min , Meng Lei , Wang Jing , Zhu Tong-bin , Cheng Yi , Zhang Jin-bo , Cai Zu-cong , Chang Scott X. , Müller Christoph 
Published: December 2022

AbstractThe internal soil nitrogen (N) cycle supplies N to plants and microorganisms but may induce N pollution in the environment. Understanding the variability of gross N cycling rates resulting from the global spatial heterogeneity of climatic and edaphic variables is essential for estimating the potential risk of N loss. Here we compiled 4,032 observations from 398 published15N pool dilution and tracing studies to analyse the interactions between soil internal potential N cycling and environmental effects. We observed that the global potential N cycle changes from a conservative cycle in forests to a less conservative one in grasslands and a leaky one in croplands. Structural equation modelling revealed that soil properties (soil pH, total N and carbon-to-N ratio) were more important than the climate factors in shaping the internal potential N cycle, but different patterns in the potential N cycle of terrestrial ecosystems across climatic zones were also determined. The high spatial variations in the global soil potential N cycle suggest that shifting cropland systems towards agroforestry systems can be a solution to improve N conservation.
Weak grid integrated solar photovoltaic‐based distributed generation system proficient in supplying VAR requirement with current restriction
Authors: Pradhan Subarni , Singh Bhim , Panigrahi Bijaya Ketan 
Published: December 2022

AbstractThis study presents a grid interactive solar photovoltaic (PV) system proficient with low voltage ride through capability. When the supply voltage drops more than 10%, the solar PV system remains connected and continues to supply the active power to the loads as well as to the grid. Along with the active power supply, the solar PV array system supplies the reactive power for stabilising the system. Due to the supply of both the active and reactive powers, there is a chance for a grid fed inverter (GFI) current to exceed the maximum current limit. It may result in the tripping of inverter protection. Therefore, a current limiting logic is incorporated to keep the inverter current within the safe limit. The unbalanced voltages are responsible for circulation of negative sequence currents in the system. As the prime aim of the present work deals with the supply of positive sequence currents to the grid, it is required to estimate the positive and negative sequence voltages separately. Intending the estimation of sequence voltages from unbalanced supply voltages, a frequency adaptive higher order complex filter (FAHOCF) is used. A MATLAB model of grid interactive solar PV array is developed and simulated results are verified with test results.
Enhanced parallel salp swarm algorithm based on Taguchi method for application in the heatless combined cooling‐power system
Authors: Shan Jie , Xie Bo‐Lin , Zhang Yong‐Jun , Pan Jeng‐Shyang , Xie Yu‐Hong , Fu Yang 
Published: December 2022

AbstractSalp swarm algorithm (SSA) is an excellent meta‐heuristic algorithm, which has been widely used in the engineering field. However, there is still room for improvement in terms of convergence rate and solution accuracy. Therefore, this paper proposes an enhanced parallel salp swarm algorithm based on the Taguchi method (PTSSA). The parallel trick is to split the initial population uniformly into several subgroups and then exchange information among the subgroups after a fixed number of iterations, which speeds up the convergence. Communication strategies are an important component of parallelism techniques. The Taguchi method is widely used in the industry for optimizing product and process conditions. In this paper, the Taguchi method is adopted into the parallelization technique as a novel communication strategy, which improves the robustness and accuracy of the solution. The proposed algorithm was also tested under the CEC2013 test suite. Experimental results show that PTSSA is more competitive than some common algorithms. In addition, PTSSA is applied to optimize the operation of a heatless combined cooling‐power system. Simulation results show that the optimized operation provided by PTSSA is more stable and efficient in terms of operating cost reduction.