bluuebunny/crossref_metadata_2025_split huggingface dataset:
A IMPACT OF PARENTING PATTERNS AND INTENSITY OF GADGET USE ON ELEMENTARY SCHOOL AGE CHILDREN
Authors: Fauziyah Hayyin Nur 
Published: July 2022

Gadgets provide positive and negative impacts for their users. The excessive intensity of the use of gadgets makes children vulnerable to the negative effects of gadgets. The intensity of the use of gadget can be influenced by the type of parenting applied by the parents. The treatment given by the parents will affect the child. This study aims to identify how children's behavior and the intensity of gadget in authoritarian, democratic and permissive parenting. This intensity is seen from aspects of parenting such as parental demands, forms of parental supervision and communication that occurs between children and parents regarding the use of gadgets. This study uses a qualitative approach to the type of phenomenology. Phenomenology is a type of research where researchers find out by seeing and hearing the explanations and behavior of informants. Based on the analysis of the data found, it is known that authoritarian parenting has high demands on children and has many rules. So the intensity of using gadgets is low. For democratic parenting, parents supervise but sometimes give freedom. So that the intensity of children's use of gadgets is higher than authoritarian parenting. While permissive parenting, parents give freedom to children. Children and parents also rarely have time to communicate. So that the intensity of the use of gadgets in this permissive parenting pattern is high.
Keywords: Intensity; Parenting; Gadgets; Elementary School Children.
Parthenium hysterophorus Being Boon and Bane for Human Beings: A Review
Authors: . Nishtha , Rana Rishika 
Published: July 2022

Talking about the invasive species of plants there are many of them like Ageratum conyzoides, Cannabis sativa, Parthenium hysterophorus, Lantana camara, Tribulus terrestris and many more. And one of these is Parthenium hysterophorus which we will be discussing in this paper. P. hysterophorus is native species to tropical America, Mexico and the southern USA. This invasive plant belongs to the Asteraceae family. This is said to be a poisonous annual herb that grows aggressively. It has certain harmful effects on agriculture, livestock and human life. This herb tends to cause skin problems, respiratory problems, fever and bronchitis-like problems in humans. Despite having many harmful elements this weed is also known to have health benefits examples as urinary tract infection, rheumatic pain and Diarrhoea. This herb is spreading all over India badly. Certain experiments and methods are being done on this plant to know the impactful parameters of the plant which can be used in a productive way. It has the potential to be used as bio-pesticides and for removing heavy metals and dyes. In this paper, we have discussed this noxious herb and its benefits. The goal of the review is to impart basic knowledge about, morphology, discovery, harmful and beneficial effects, active compounds and preventive measures about P. hysterophorus.
Complete genome sequence of patchouli chlorosis-associated cytorhabdovirus, a new cytorhabdovirus infected in patchouli plant in Brazil
Authors: Kauffmann Caterynne Melo , Boari Alessandra de Jesus , Silva João Marcos Fagundes , Blawid Rosana , Nagata Tatsuya 
Published: July 2022

Abstract
A cytorhabdovirus, tentatively named “patchouli chlorosis-associated cytorhabdovirus” (PCaCV), was identified in patchouli plant, using high-throughput sequencing. Its genome confirmed by Sanger sequencing comprises 12,913 nucleotides and contained five open reading frames in order of 3'-N-P'-P-P3-M-L-5'. The glycoprotein gene exhibited irregular patterns with stop codons in coding frame, hence this gene is considered as defective. PCaCV is more closely related to tomato yellow mottle-associated virus, sharing 38.7% nucleotide sequence identity of the complete genome and 73.9% amino acid sequence identity of the L protein. These analyses suggest that PCaCV is considered a new member of the genus Cytorhabdovirus.
Trait-mediated leaf retention of atmospheric particulate matter in fourteen tree species in southern China
Authors: Zhao Kangning , Liu Dandan , Chen Yongfa , Feng Jiayi , He Dong , Huang Chunhua , Wang Zhiyuan 
Published: July 2022

Abstract
Particulate air pollution is a serious threat to human health, especially in urban areas, and trees can act as biological filters and improve air quality. However, studies on greening tree species selection are rare. We measured three particular matter adsorption metrics (PM2.5, PM2.5−10 and PM> 10 captured per leaf area) and six functional traits for each of fourteen species and estimated their minimum light requirements based on field surveys. We found that shade-tolerant species captured more coarse particles (PM2.5−10) than light-demanding species. For traits, a strong negative correlation was found between photosynthetic capacity and adsorption capacity for all three PM size fractions, indicating that in comparison to acquisitive species, conservative species captured larger amounts of particles. Moreover, denser wood species and smaller leaves were more efficient in capturing large particles (PM> 10), while species with ‘expensive’ leaves (high leaf N or P) were more efficient in capturing fine particles (PM2.5), indicating that capturing large and fine particles was related to mechanical stability traits and leaf surface traits, respectively. Our results demonstrated that the metabolism (e.g., photosynthetic capacity) and chemistry (e.g., leaf N and leaf P) of leaves help explain species capacity to capture PM. We encourage future studies to investigate the ecosystem functions and stress tolerance of tree species with the same framework and trait-based methods.
Elucidating HONO formation mechanism and its essential contribution to OH during haze events
Authors: Ge Maofa , Zhang Xinran , Tong Shengrui , Jia Chenhui , Zhang Wenqian , Wang Zhen , Tang Guiqian , Hu Bo , Liu Zirui , Wang Lili , Zhao Pusheng , Pan Yuepeng 
Published: July 2022

Abstract
Atmospheric nitrous acid (HONO) chemistry is of critical importance to air quality during polluted haze events. However, current air quality models generally underestimate the concentration of HONO, indicating that a fundamental understanding of haze pollution is lacking. Here, by combining field observations during haze events in Beijing and modeling results, we developed the new parameterization scheme for heterogeneous nitrogen dioxide (NO2) reaction on aerosol surfaces [with the synergistic effects of relative humidity, ammonia, and sulfur dioxide], which has not been considered in existing air quality models. Including NO2 heterogeneous reactions into modeling significantly improves the estimation accuracy of HONO and OH levels, with the contribution reaching up to 91% and 78% during pollution episodes. The OH derived by HONO can partly explain high concentrations of particulate matter. Together, our work provides a new approach to illustrate the formation of HONO, OH, and haze with the consideration of heterogeneous NO2→HONO chemistry.
NQO1/CPT1A promotes the progression of pancreatic adenocarcinoma via fatty acid oxidation
Authors: Xu Ran , Liu Ying , Ma Liang , Sun Yao , Liu Hai Feng , Yang Yang , Jin Tie Feng , Yang Da Wei 
Published: July 2022

Abstract
NQO1, a cytosolic enzyme, is closely related to progression of cancers and patients’ poor outcome. However, the molecular biological mechanism of NQO1 tumorigenicity in pancreatic adenocarcinoma (PAAD) has not been clearly reported. Therefore, we demonstrate the molecular mechanism of NQO1 PAAD in proliferation, metastasis and fatty acid oxidation (FAO). In this report, NQO1 is overexpressed in PAAD, connects with lymph node metastasis and poor overall survival. The overexpression of NQO1 improves tumor growth, metastasis and FAO in PAAD. Mechanistically, NQO1 is able to bind to carnitine palmitoyltransferase 1A (CPT1A), a key enzyme controlling FAO. And NQO1 promotes the PAAD progression via CPT1A-mediated FAO. In short, our findings identify CPT1A-depedent FAO as an essential metabolic pathway for NQO1 to promote PAAD process. Targeting NQO1/CPT1A in PAAD to attenuate proliferation and dissemination is a potential approach to promote a better antitumor effect and improve patient outcomes.
Key words: NQO1; PAAD; metastasis; fatty acid oxidation; CPT1A
Assessing safety and transceive performance of volumetric wireless coil for wrist MRI at 3 T
Authors: Nasonov Aleksei , Schelokova Alena , Tikhonov Pavel , Brui Ekaterina 
Published: July 2022

Abstract
Background
The concept of a volumetric wireless coil electromagnetically coupled to a body coil (BC) to improve the quality and radiofrequency (RF) safety of wrist MRI at 1.5 T was recently proposed and confirmed via in vivo studies. Here, we demonstrate, for the first time, that the same concept can be applied at 3 T, where the RF safety issue is more critical. Our work includes a detailed analysis of the wireless coil robustness to the possible breakages of coil elements and its imperfect positioning inside the BC.
Methods
The wireless coil design is based on a periodic array of coupled split-loop resonators. The cases of a wireless coil breakage and inaccurate positioning were considered in terms of influence on RF safety via electromagnetic simulations with a human voxel model. In vivo experiments were also performed to evaluate the transmit efficiency and uniformity of the B1+-field.
Results
Numerical simulations demonstrated that the wireless coil provides a 4.1-fold increase in the local RF safety and almost a 7-fold increase in the global RF safety in comparison with the case of the same BC used alone. Minor breakages and positioning errors only slightly affect the transmit efficiency and the RF safety, confirming the wireless coil robustness.
Conclusion
The wireless coil was shown to be feasible for wrist imaging at 3 T. A significant improvement of the RF safety may be useful in studies with implants and in the case when high-performance pulse sequences are required for improving the image quality.
High-k materials based on SrHfO3 and BaHfO3: A Hybrid Density Functional Theory Study
Authors: Yeo Abdul Hannan , Wu Wei , Choy Kwang-Leong 
Published: July 2022

Abstract
High-dielectric-constant (high-k) materials are important as dielectric layers for computer processors to prevent unnecessary electrical current leakages. There is a fast-growing demand in the semiconductor industry for the exploration and integration of alternative high-k materials with the electronic device because the conventional dielectric material such as it gradually becomes difficult for SiO2 to satisfy the industrial need. There are many promising candidates for the high-k materials such as BaTiO3 and HfO2. Among these, ternary oxides (consisting of three elements and usually having perovskite crystal structure) can offer much better electrical properties than SiO2, thus providing potentially better solutions for the current-leakage problem. The previous experiments on the band structure and dielectric properties of SrHfO3 and BaHfO3 have shown their good potential for high-k materials. However, the theoretical understanding of these materials is still rare. In this paper, we have computed the electronic structure, optical and static dielectric constants of SrHfO3 and BaHfO3 by using hybrid-exchange density-functional theory. This work aims to provide a better understanding through accurate computational calculations of ternary oxides to prove its compatibility and superior material qualities for the future integration into semiconductor devices. A larger band gap (~ 10 eV) with comparable static dielectric constant with HfO2 (another good candidate for high-k dielectrics) has been suggested by our calculations for SrHfO3 and BaHfO3. The computed static dielectric constants for both materials are in agreement with the experimental results reported previously. Our calculations will provide a solid theoretical foundation for using Hf-bearing ternary oxides to tackle the future need of high-k materials.
Expressions of bone development related protein BMP5, HMGA1 and PLAG1 varied with the expression of HOXA1 in mouse osteoblasts
Authors: Zhang Ben , Hu Panyang , Zhang Menghao , Shi Lidan , Ju Mingming , Wang Chunxiu , Qiao Ruimin 
Published: July 2022

Abstract
Background: To investigate if the expression of bone development causal genes BMP5, HMGA1 and PLAG1 in animals could be affected by HOXA1 with small molecule interfering RNA (siRNA) experiment in mouse embryonic osteoblast precursor cells.Methods: Four HOXA1 target siRNA sequences (siRNA1-4) were designed to transfect Mc3t3-e1-24 cells with LipofectamineTM2000 liposomes. The transcription and protein expression levels of HOXA1 were compared between siRNA groups. The mRNA and protein expressions of BMP5, HMGA1 and PLAG1 were compared before and after HOXA1 transfection. The mRNA expressions of bone cell proliferation marker genes Runx2, ALP, OCN, FGF3 and IGF2 were measured.Results: SiRNA1 has the strongest interference efficiency. The expressions of HOXA1 transfected with siRNA1 in Mc3t3-e1-24 cells were significantly down-regulated (P < 0.05). After the expression of HOXA1 was suppressed, the mRNA and protein expressions of BMP5 (P < 0.01), HMGA1 (P < 0.05) and PLAG1 (P < 0.05) were significantly increased. And, the transcription levels of Runx2, ALP, OCN, FGF3 and IGF2 genes were significantly increased (P < 0.05, P < 0.01), which indicated the increasing of osteoblast proliferation.Conclusions: In mouse embryonic osteoblast precursor cells, the expression levels of BMP5, HMGA1 and PLAG1 could be affected by the inhibition of HOXA1, and the changes of their expression levels were consistent that they all increased with the decreased HOXA1 and the increased cell proliferation. The molecular mechanisms under the interaction among these genes needs to be further studied.
Influencing factors decomposition of CO2 emission during in silicon production by using method of LMDI
Authors: Jiang Kaizhi , Chen Zhengjie , Ma Wenhui 
Published: July 2022

Abstract
It is important to understand the factors actually influencing CO2 emissions during the production of industrial silicon so that targeted energy saving and emission reduction policies can be formulated. According to the production data provided by an industrial silicon manufacturer, the dynamic characteristics of CO2 emissions from 8.5 MVA and 12.5 MVA submerged arc furnaces (SAF) during silicon production were analyzed. Using the Logarithmic Mean Divisia Index method (LMDI method) to build an index decomposition model for CO2 emissions, the factors influencing CO2 emissions from an industrial silicon furnaces were decomposed into four factors , namely CO2 emission coefficient, energy consumption structure, energy intensity, and the total production. This quantitative factor analysis of the silicon production industry identified the driving factors underlying changes in CO2 emissions. Industrial silicon production (ISP) was the most influential factor underlying increases in CO2 emissions, while energy intensity was the biggest factor restraining for CO2 emissions. Energy consumption structure also had an important impact on the reduction of CO2 emissions, but the effect was not obvious because no marked improvements in energy structure were made during this period. Therefore, improving the energy efficiency of silicon production is key to achieving CO2 emission reductions.
Construction of regeneration system of Pyrus and the genetic stability analysis of regenerated population
Authors: Liu Qi , Yang Yingjie , Liu Jianlong , Song Jiankun , Li Dingli , Wang Rencai , Wang Ran 
Published: July 2022

Abstract
Genetic assessment of pear regeneration population is very important for genetic fidelity maintenance in genetic engineering breeding. In this research, a regeneration system for a pear dwarfing rootstock cultivar, 'Qingzhen D1', was constructed on NN69 medium supplemented with different concentrations of thidiazuron (TDZ) and Indole-3-butyric acid (IBA). And the genetic stability of the regenerated population was evaluated through flow cytometry (FCM) and whole genome resequencing techniques. The highest percentage (93%) regeneration rate was induced on NN69 medium supplemented with 3.0 mg·L− 1 TDZ and 2.4 mg·L− 1 IBA, with 3.9 adventitious buds per leaf. No phenotype and ploidy changes were detected in regeneration population. But a high variation frequency (5.0×10 − 4) at a single site was detected. The mutations occurred most frequently on chromosome 5, 10 and chromosome 15, while least on chromosome 4. High-impact changes only accounted for 0.065% of SNPs and 1.429% of Indels of all polymorphisms, and most of which caused by frameshift. Functional analysis of genes affected by high impact variants showed that they were mainly related to adaptation to environment. This study will provide a theoretical basis for the application of pear genetic engineering breeding in the future.
An abuse liability assessment of the glo tobacco heating product in comparison to combustible cigarettes and nicotine replacement therapy
Authors: Hardie George , Gale Nathan , Milleri Stefano , Ziviani Luigi , Proctor Christopher J. , Murphy James , McEwan Michael 
Published: July 2022

Abstract
Tobacco heating products (THPs) have reduced emissions of toxicants compared with cigarette smoke, and as they expose user to lower levels than smoking, have for a role to play in tobacco harm reduction. One key concern of Public Health is that new tobacco and nicotine products should not be more addictive than cigarettes. To assess their abuse liability, we determined nicotine pharmacokinetics and subjective effects of two THPs compared with conventional cigarettes and a nicotine replacement therapy (Nicotine inhaler). In a randomised, controlled, open-label, crossover study healthy adult smokers used a different study product in a 5 min ad libitum use session in each of four study periods. Product liking, overall intent to use again, urge for product and urge to smoke questionnaires were utilised to assess subjective effects. Nicotine uptake was greater for the cigarette (Cmax = 22.7 ng/mL) than for either THP (8.6 and 10.5 ng/mL) and the NRT (2.3 ng/mL). Median Tmax was significantly longer for the NRT (15.03 minutes) than for the tobacco products (4.05–6.03 minutes). Product liking and overall intent to use again was highest for the cigarette, and higher for the THPs than the NRT. Urge to smoke was reduced more by the cigarette than by the other three products. Urge to use the THPs was greater than the NRT. These findings suggest that the abuse liability of the THPs lies between that of subjects usual brand cigarettes and the NRT.
Cold Formed Steel Stud Walls Subject to Blast Loading-non Linear Dynamic Analysis
Authors: Juluru Srija , R Divahar , R Abirami 
Published: July 2022

Abstract
A detailed dynamic non-linear numerical investigation has been conducted on the conventional and stiffened steel stud wall panel under blast loading. Various parameters such as charge weight, mesh dependency and boundary condition have been investigated in this study, with a specific emphasis on assessing performance of both the types of stud wall panels with respect to midpoint displacement and energy dissipation of the models, with the inclusion of geometrical and material non-linearity. Modeling method and material properties used have been discussed in detail. Initially the numerical simulation has been validated by considering existing experimental results available in literature. The analysis has been led to numerous interesting results on the response of square honeycomb stiffened steel stud wall panel compared to a conventional one. The comparative study also includes suggestion regarding improvement of performance of steel stud walls under blast loading.
Development of a high-performance platinum-sensitized Co2P/NF electrode for hydrogen production from water decomposition
Authors: Deng Xiaoyan , Qu Qiuyue , Ji Xiaoyang , Bu Hongkai , Zhao Yan , Wang Chuanling , Gao Hongtao 
Published: July 2022

Abstract
Clean energy hydrogen, which can be produced by catalytic water splitting, has attracted more and more attention of researchers. Due to their low cost, abundance, and high efficiency, Transition metal phosphides (TMPs) have received more and more attention as ever-evolving catalytic materials instead of noble metal catalysts. In this work, The Cobalt hydroxide precursor was first grown on foam nickel (NF) by hydrothermal reaction, which was phosphated to Co2P though high temperature vapor phase. Then a small amount of Pt was anchored on the surface of Co2P, marked as Pt-Co2P/NF, by potential-cycling method. Both electrochemically active surface area (ECSA) and intrinsic catalytic activities of the catalyst were improved, with the performance of hydrogen evolution reaction (HER) increasing. The electrochemical test indicated that the Pt-Co2P/NF exhibited excellent electrocatalytic performance in alkaline electrolyte, and the overpotential was only 13mV and 133mV respectively at 10 and 1000 mA cm-2. The low Tafel slope of 28 mV dec−1 implied its rapid HER kinetics. Especially at high current density, Pt-Co2P/NF showed excellent catalytic activity and stability, which was possible to meet the requirements of hydrogen production industry. Coupled by first principle calculations based on density functional theory (DFT), a mechanism insight of the chemical transformation was provided, which could elucidate the origin of the platinum-sensitized behavior of HER.
First Principles Data Driven Potentials for Prediction of Iron Carbide Clusters
Authors: Diao Enhu , Liu Xuhong , Tong Qiang , Liu Xiulei 
Published: July 2022

Abstract
Iron carbide clusters are studied extensively in many catalysis fields by quantum chemistry methods. The high cost of structural energy calculation has always been the bottleneck of its development. First principles based on density functional theory (DFT) have high calculation accuracy and sound portability. Still, its computational cost is so high that it is difficult to carry out large-scale, long-term, and high-throughput simulations. A data driven potential is crucial for further accelerating the screening or prediction process in the high through-put calculation. In this paper, we generate 177k clusters data and choose some state-of-the-art machine learning models in physical chemistry to train them. The generated potential gives a very high prediction accuracy on the order of the structure stability and achieves better adaptability/tolerance on poor structures of clusters. In addition, we use the machine learning potential to assist in high-throughput data collection and realize the prediction of the adsorption position of hydrogen atoms on the cluster surface. We can get a more stable adsorption position of the hydrogen atom in a shorter time, compared with traditional quantum chemical calculators.