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

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.

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.

A Java Prototype Implementation of Coordination for Heterogeneous, Distributed, and Parallel Programming

Hao Wu,Chia-Chu Chiang 보안공학연구지원센터 2012 International Journal of Software Engineering and Vol.6 No.2

Vacuum deposited small molecule and perovskite solar cells

Hao-Wu LIN 한국진공학회 2016 한국진공학회 학술발표회초록집 Vol.2016 No.8

Ginsenoside Rg3 nanoparticles with permeation enhancing based chitosan derivatives were encapsulated with doxorubicin by thermosensitive hydrogel and anti-cancer evaluation of peritumoral hydrogel injection combined with PD-L1 antibody

Wu Hao,Wei Guoli,Luo Lixia,Li Lingchang,Gao Yibo,Tan Xiaobin,Wang Sen,Chang Haoxiao,Liu Yuxi,Wei Yingjie,Song Jie,Zhang Zhenhai,Huo Jiege 한국생체재료학회 2023 생체재료학회지 Vol.27 No.00

Combination of chemotherapy and immune checkpoint inhibitor therapy has greatly improved the anticancer effect on multiple malignancies. However, the efficiency on triple-negative breast cancer (TNBC) is limited, since most patients bear “cold” tumors with low tumor immunogenicity. Doxorubicin (DOX), one of the most effective chemotherapy agents, can induce immunogenic cell death (ICD) and thus initiating immune response.In this study, to maximize the ICD effect induced by DOX, chitosan and cell-penetrating peptide (R6F3)-modified nanoparticles (PNPs) loaded with ginsenoside Rg3 (Rg3) were fabricated using the self-assembly technique, followed by co-encapsulation with DOX based on thermo-sensitive hydrogel. Orthotopic tumor model and contralateral tumor model were established to observe the antitumor efficacy of the thermo-sensitive hydrogel combined with anti-PD-L1 immunotherapy, besides, the biocompatibility was also evaluated by histopathological.Rg3-PNPs strengthened the immunogenic cell death (ICD) effect induced by DOX. Moreover, the hydrogel co-loading Rg3-PNPs and DOX provoked stronger immune response in originally nonimmunogenic 4T1 tumors than DOX monotherapy. Following combination with PD-L1 blocking, substantial antitumor effect was achieved due to the recruitment of memory T cells and the decline of adaptive PD-L1 enrichment.The hydrogel encapsulating DOX and highly permeable Rg3-PNPs provided an efficient strategy for remodeling immunosuppressive tumor microenvironment and converting immune “cold” 4T1 into “hot” tumors.

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>

Estimation of Physical Layer Scrambling Code Sequence of DVB-S2

Hao Wu,Hui Xie,Zhi-Tao Huang,Yi-Yu Zhou 한국전자통신연구원 2014 ETRI Journal Vol.36 No.2

In this letter, the problem of estimating the physical layer(PL) scrambling code sequence of DVB-S2 is studied. Wepresent the first ever scheme to estimate the scramblingsequence. The scheme is based on hypothesis testing. Byanalyzing the PL scrambling process, we construct a newsequence equivalent to the scrambling sequence. We then usehypothesis testing to estimate the new sequence. The thresholdfor the hypothesis testing is also discussed. The experimentresults show that the performance of our estimation schemecan work even under high BER.

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.

Improvement of bond strength and durability of concrete incorporating high volumes of class F fly ash

Wu, Chung-Hao,Chen, Chien-Jung,Lin, Yu-Feng,Lin, Shu-Ken Techno-Press 2021 Advances in concrete construction Vol.12 No.5

This study experimentally investigated the improvement of bond strength and durability of concrete containing high volume fly ash. Concrete mixtures made with 0%, 25% and 60% replacement of cement with class F fly ash were prepared. Water-binder ratios ranged from 0.28 to 0.72. The compressive, flexural and pullout bond strength, the resistance to chloride-ion penetration, and the water permeability of concrete were measured and presented. Test results indicate that except for the concretes at early ages, the mechanical properties, bond strength, and the durability-related chloride-ion permeability and water permeability of concrete containing high volume (60% cement replacement) fly ash were obviously superior to the concrete without fly ash at later ages of beyond 56 days. The enhanced bond strength for the high volume fly-ash concrete either with or without steel confinement is a significant finding which might be valuable for the structural application.