Genome-wide DNA methylation profiling in differentiating Crohn’s disease from intestinal tuberculosis

Wu Hao,Liu Hongchun,Liu Haining,Chen Yanjie,Liu Taotao,Shen Xizhong,Liu Lili 한국유전학회 2022 Genes & Genomics Vol.44 No.5

Background: Differential diagnosis of Crohn's disease (CD) and intestinal tuberculosis (ITB) is still difficult in clinical pratice. DNA methylation has been considered as a favorable area for biomarker exploration and identification. Objective: The purpose of the current study was to evaluate DNA methylation changes between CD and ITB. Methods: We performed a genome-wide association study to identify differentially methylated positions (DMPs), including 8 CD patients (before the initial of biologics or immunomodulators), 6 ITB patients, and 8 healthy controls (HCs), in whole blood DNA using the Infinium HumanMethylation850 BeadChip. Results: Patients in the CD group and ITB group were all observed with hypo-methylated changes compared with HCs. However, the CD group overlaps with the ITB group in DNA methylation, suggesting a stable epigenetic profile between the two diseases. The pathway enrichment analysis showed the alternation in inflammation-related pathway, immune system, and signal transduction. Focused on the DMPs located in the promoter region, further analysis indicated hypermethylation of cg03122532 (5'UTR of KCNJ15) could be a potential CD-specific biomarker. Conclusions: We identified specific differential methylation loci related to CD and ITB in blood DNA. DNA metylation as a important epigenetic modification could contribute to the pathogenesis study and biomarker exploration of the diseases.

Extraction behaviors of platinum group metals in simulated high-level liquid waste by a hydrophobic ionic liquid bearing an amino moiety

Wu, Hao,Kim, Seong-Yun,Takahashi, Tadayuki,Oosugi, Haruka,Ito, Tatsuya,Kanie, Kiyoshi Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.4

A hydrophobic ionic liquid including an amino moiety ([DiOcAPmim][NTf₂]) was synthesized. Its extraction behaviors towards Pd(II), Ru(III), Rh(III) were investigated in nitric acid aqueous solution as a function of contact time, effect of concentration of nitric acid, effect of temperature, and effect of co-existing metal ions. The extraction kinetics of Pd(II) was fairly fast and extraction equilibrium can be attained within only 5 min under the [HNO₃] = 2.05 M. When [HNO₃]< 1 M, the extraction percentage of Pd(II), Ru(III), Rh(III) were all above 80%. When [HNO₃] reached 2 M, all of the extraction percentage decreased and in an order of Pd(II)>Ru(III)>Rh(III). When [HNO₃]> 2 M, the extraction performance gradually recovered. The effect of temperature can slightly affect the extraction performance of Pd(II). Furthermore, in simulated high-level liquid waste, [DiOcAPmim][NTf₂] showed a better preference towards Pd(II) under the interference of various other co-existing metal ions.

Adsorption and separation behaviors of Y(III) and Sr(II) in acid solution by a porous silica based adsorbent

Wu, Hao,Kawamura, Taiga,Kim, Seong-Yun Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.10

Aiming at selective adsorption and separation of Y(III) from the Y(III)-Sr(II) group in acid solution, a silica-based TODGA impregnated adsorbent [(TODGA+1-dodecanol)/SiO₂-P-F600] has been prepared. Batch adsorption experiments were conducted under the effect of contact time, acid concentration, solution temperature, and adsorption capacity etc. Chromatography recovery of more than 90% Y(III) was successfully achieved under elution with 0.01 M DTPA solution in nitric acid adsorption system, and 0.1 M HCl solution in hydrochloride adsorption system, respectively.

Carbon Emission Early Warning System Modeling and Simulation Study of Urban Regional Transportation

Hao Wu,Xianglian Zhao 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.8

Accurate assessment of carbon emission of urban regional transportation is the core of urban low-carbon traffic construction. Traditional carbon emission evaluation methods need a large number of samples and sample data of carbon emission of urban regional transportation is smaller, so the precision will be lower if traditional methods are adopted. This paper proposes particle swarm optimization to optimize support vector machine carbon emission early warning system of urban regional transportation (PSO-SVM) and takes the advantage of small sample data modeling of support vector machine to improve the carbon emission evaluation accuracy of urban regional transportation. Furthermore, this paper takes carbon emission evaluation accuracy of urban regional transportation as modeling target, selects reasonable evaluation index, confirms carbon emission evaluation model structure of urban regional transportation and then optimizes support vector machine (SVM) by adopting particle swarm optimization (PSO) to establish evaluation model and conduct system simulation. Results show that PSO-SVM actually increases the assessment accuracy, having practical application value in urban traffic carbon emission management.

Prediction Simulation Study of Road Traffic Carbon Emission Based on Chaos Theory and Neural Network

Hao Wu,Xianglian Zhao 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.7

Study the road traffic carbon emission and accurately predict the problems, the road traffic carbon emission has the complex systems of chaos and nonlinearity, the traditional method ignores the chaos of the road traffic carbon emission change, and it is so difficult to precisely control the rules of the road traffic carbon emission change that the precision of the of traffic carbon emission prediction is lower. In this study, it proposes the road traffic carbon emission prediction model based on the chaos theory and neural network and improves the prediction precision of the road traffic carbon emission time sequence. First of all, it reconstructs the time sequence data of the road traffic carbon emission change through the space, and sorts out the chaos change rules hidden in the time sequence data and then uses the BP neural network to study and carry out the modeling of the time sequence data of the road traffic carbon emission, and optimize the neural network parameter in order to improve the prediction precision of the road traffic carbon emission time sequence. The simulation result shows that, Chao-BPNN has overcome the deficits of the traditional method and could precisely and comprehensively reflect the change rules of the road traffic carbon emission time sequence, and effectively improved the prediction precision of the road traffic carbon emission.

Investigations of the Temperature Field and Cracking Risk in Early Age Massive Concrete in the # 0 Segment of a Box Girder Bridge

Hao Wu,Jia Liu 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.9

Massive high-strength concrete is often used for the # 0 segment of continuous box girders in modern large-span bridges. Thus, the release of substantial hydration heat results in thermal cracking during construction, which greatly affects bridge safety and durability. To predict the risk of structural cracking, it is important to clarify the distribution of the temperature gradient associated with the hydration heat in the # 0 segment and develop an accurate and simple method for calculations to assess of cracking. In this study, based on an actual bridge project, the temperature variation of the # 0 segment caused by hydration heat were measured, and the temperature distribution and development were investigated. The finite element method (FEM) was utilized to simulate the temperature field of the # 0 segment. Three thermodynamic methods for the assessment of cracking were compared and analyzed by practical calculations, and the influence of different parameters on the cracking risk was investigated. Measurements showed that the temperature field of the # 0 segment had a skewed unimodal normal distribution in time and a U-shaped distribution of low and high temperatures in outer and inner positions, respectively. The temperature distributions associated with the hydration heat were discontinuous in time for the root section and obeyed different but correlated Gaussian functions along the width of different pouring layers of the intermediate crossbeam at the # 0 segment. Additionally, the results of the FEM simulation were very consistent with the measurements, which verified the accuracy of the FEM simulation. The cracking assessment methods in EC2 and GB 50496 were used to exactly evaluate the cracking of massive concrete structures. On the basis of the results of the study, it was recommended to reduce casting temperature, delay removal of formwork and control curing temperature above 15oC to curb cracking.

Inductive and combinatorial reasoning in international educational context: assessment, measurement invariance, and latent mean differences

Wu, Hao,Saleh, Andi Rahmat,Molnár, Gyöngyvér 서울대학교 교육연구소 2022 Asia Pacific Education Review Vol.23 No.2

Indonesian 15-year-old students’ educational achievement has proved to be significantly lower than the international average based on one of the most prominent international large-scale assessments, OECD PISA. This prompted our interest in Indonesian students’ cognitive development during secondary schooling in comparison with that of students who are more successful on the PISA scale. This study aims to describe the development of Indonesian students’ thinking skills, especially inductive and combinatorial reasoning, to map the influencing factors in the development of reasoning skills and make a cross-national comparison study with their Hungarian peers. The sample was drawn from 250 Indonesian and 864 Hungarian 8th and 11th graders. The reliabilities of the tests were acceptable, with Cronbach’s alpha varying between .70 and .86. Results mainly indicated that: (a) the measures of these two constructs were partially invariant across nationalities; (b) the Indonesian students’ reasoning skills did not sufficiently develop between the 8th and 11th grades; (c) the Indonesian students’ inductive and combinatorial reasoning achievement was significantly worse than that of the Hungarian students in 11th grade, but not in 8th grade; and (d) the students’ learning strategies proved to be predictive factors in students’ reasoning skills achievement in both Indonesian and Hungarian contexts, but the level of prediction varied. Overall, the results of the current study provide support for an understanding of Indonesian students’ cognitive development compared to an international benchmark. The findings have implications for revising educational methods in Indonesia and may form the basis for further studies.

Recovery of cesium ions from seawater using a porous silica-based ionic liquid impregnated adsorbent

Hao Wu,Tatsuya Kudo,Seong-Yun Kim,Misako Miwa,Shigeo Matsuyama 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.5

A porous silica-based adsorbent was prepared by impregnating the pores of a silica support with theextractant 1,3-[(2,4-diethylheptylethoxy)oxy]-2,4-crown-6-calix[4]arene (Calix[4]arene-R14) and anadditive agent 1-ethyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide (C2mim þ NTf2) as thematerials to remove cesium(I) (Csþ) ions from seawater. The as-prepared adsorbent showed excellentadsorption performance toward Csþ ions, with adsorption equilibrium reached within 2 h and anadsorption amount of 0.196 mmol/g observed. The solution pH, temperature, and the presence ofcoexisting metal ions were found to have almost no effect on Csþ adsorption. The adsorption mechanismwas considered to proceed via ion exchange between Csþ and C2mimþ. In addition, the particle-inducedX-ray emission analysis results further clarified that the adsorbed Csþ ion species on the adsorbent wasin the form of both CsCl and CsBr

One-pot synthesis of silica-gel-based adsorbent with Schiff base group for the recovery of palladium ions from simulated high-level liquid waste

Wu Hao,Kim Seong-Yun,Ito Tatsuya,Miwa Misako,Matsuyama Shigeo 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.10

A simple solvothermal reaction was used to prepare a 3-aminopropyl-functionalized silica-gel-based adsorbent for adsorbing Pd(II) from the nitric acid solution. Scanning electron microscopy, fourier transform infrared spectroscopy, and thermogravimetry analysis were performed on the as-synthesized adsorbent to demonstrate the successful introduction of Schiff base groups. Batch experiments were used to investigate the effects of contact time, nitric acid concentration, solution temperature, and adsorption capacity. It is worth noting that the prepared adsorbent exhibited a higher affinity toward Pd(II) with the uptake approximately 100% even in a 2 M HNO3 solution. At an equilibrium time of 5 h, the maximum adsorption capacity of Pd(II) was estimated to be 0.452 mmol/g. The adsorbed Pd(II) could be completely eluted by dissolving 0.2 M thiourea solution in 0.1 M HNO3. Using a combination of particle-induced Xray emission analysis and an X-ray photoelectron spectrometer, the adsorbed Pd was found to be uniformly distributed on the surface of the prepared adsorbent and the existing species were Pd(II) and zero-valent Pd(0). Due to the desirable performances, facile preparation method, and abundant raw material source, the prepared adsorbent demonstrated a high application potential in the recovery of Pd(II) from simulated high-level liquid waste treatment

Cathode interfacial layer-free all small-molecule solar cells with efficiency over 12%

Wu, Hao,Yue, Qihui,Zhou, Zichun,Chen, Shanshan,Zhang, Dongyang,Xu, Shengjie,Zhou, Huiqiong,Yang, Changduk,Fan, Haijun,Zhu, Xiaozhang The Royal Society of Chemistry 2019 Journal of materials chemistry. A, Materials for e Vol.7 No.26

<P>While nonfullerene small-molecule solar cells (NF-SMSCs) have relatively inferior performance compared with nonfullerene polymer solar cells, their performance is improving. In this work, a weak crystalline molecular donor BSFTR, was designed and synthesized to achieve efficient NF-SMSCs. By blending with a strong crystalline acceptor NBDTP-Fout, BSFTR achieves a well-intermixed blending morphology, which favors the formation of efficient charge percolation pathways with suppressed recombination. The BSFTR:NBDTP-Fout device obtains a power-conversion efficiency (PCE) of approximately 11.97% by achieving an efficient cathode interfacial layer (CIL)-free device that delivers an even higher PCE of 12.3%, which ranks among the top values for the reported NF-SMSCs. This work provides a simple solution for achieving high-performance NF-SMSCs by identifying the key factors for designing efficient, cost-saving, mass production-favorable CIL-free organic photovoltaic devices.</P>