Load of Ag3PO4 Particles on Sulfonated Polyphenylene Sulfide Superfine Fibre with High Visible-light Photocatalytic Activity

Pei Wang,Chenchen He,Lingquan Hu,Shaohua Chen,Xianze Yin,Jing Xu,Luoxin Wang,Hua Wang 한국섬유공학회 2018 Fibers and polymers Vol.19 No.7

Ag3PO4 was loaded on sulfonated polyphenylene sulfide (SPPS) superfine fibre by a facile precipitation method. Both the structure and properties of the as-synthesized Ag3PO4/SPPS composites were characterized via XRD, SEM, EDS, XPS, FTIR, and UV-vis. The photocatalytic performance of Ag3PO4/SPPS composites was investigated via degradation of Methylene blue(MB) solution under visible light irradiation. The degradation results revealed that the photocatalytic activity of Ag3PO4/SPPS composites was greatly enhanced by the incorporation of Ag3PO4 with SPPS superfine fibre. For concentrations of AgNO3 and Na2HPO4 solutions of 0.3 M and 0.06 M in the preparation process, the Ag3PO4/SPPS composite showed higher photocatalytic activity under visible light irradiation.

Survival and Performance of Two Cellulose-Degrading Microbial Systems Inoculated into Wheat Straw-Amended Soil

( Pei Pei Li ),( Dong Dong Zhang ),( Xiao Juan Wang ),( Xiao Fen Wang ),( Zong Jun Cui1 ) 한국미생물 · 생명공학회 2012 Journal of microbiology and biotechnology Vol.22 No.1

A cellulose-degrading composite microbial system containing a mixture of microbes was previously shown to demonstrate a high straw-degrading capacity. To estimate its potential utilization as an inoculant to accelerate straw biodegradation after returning straw to the field, two cellulose-degrading composite microbial systems named ADS3 and WSD5 were inoculated into wheat straw-amended soil in the laboratory. The microbial survival of the inoculant was confirmed by a denaturing gradient gel electrophoresis (DGGE) analysis, whereas the enhancement of straw degradation in soil was assessed by measuring the mineralization of the soil organic matter and the soil cellulase activity. The results indicated that most of the DGGE bands from ADS3 were detected after inoculation into straw-amended autoclaved soil, yet only certain bands from ADS3 and WSD5 were detected after inoculation into straw-amended non-autoclaved soil during five weeks of incubation; some bands were detected during the first two weeks after inoculation, and then disappeared in later stages. Organic matter mineralization was significantly higher in the soil inoculants ADS3 and WSD5 than in the uninoculated controls during the first week, yet the enhanced degradation did not persist during the subsequent incubation. Similar to the increase in soil organic matter, the cellulase activity also increased during the first week in the ADS3 and WSD5 treatments, yet decreased during the remainder of the incubation period. Thus, it was concluded that, although the survival and performance of the two inoculants did not persist in the soil, a significant enhancement of degradation was present during the early stage of incubation.

An Autonomous Driving Approach Based on Trajectory Learning Using Deep Neural Networks

Wang Dan,Wang Canye,Wang Yulong,Wang Hang,Pei Feng 한국자동차공학회 2021 International journal of automotive technology Vol.22 No.6

Autonomous driving approaches today are mainly based on perception-planning-action modular pipelines and the End2End paradigm respectively. The End2End paradigm is a strategy that directly maps raw sensor data to vehicle control actions. This strategy is very promising and appealing because complex module design and cumbersome data labeling are avoided. Since this approach lacks a degree of interpretability, safety and practicability. we propose an autonomous driving approach based on trajectory learning using deep neural networks in this paper. In comparison to End2End algorithm, it is found that the trajectory learning algorithm performs better in autonomous driving. As for trajectory learning algorithm, the CNN_Raw-RNN network structure is established, which is verified to be more effective than the original CNN_LSTM network structure. Besides, we propose an autonomous driving architecture of a pilot and copilot combination. The pilot is responsible for trajectory prediction via imitation learning with labeled driving trajectories, while the copilot is a safety module that is employed to verify the effectiveness of the vehicle trajectory by the results of the semantic segmentation auxiliary task. The proposed autonomous driving architecture is verified with a real car on urban roads without manual intervention within 40 km.

Chemical Vapor Deposition Growth of Graphene Domains Across the Cu Grain Boundaries

Yang Wang,Yu Cheng,Yunlu Wang,Shuai Zhang,Chen Xu,Xuewei Zhang,Miao Wang,Yang Xia,Qunyang Li,Pei Zhao,Hongtao Wang 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2018 NANO Vol.13 No.08

Many aspects in the chemical vapor deposition (CVD) growth of graphene remain unclear such as its behavior near the catalyst grain boundaries. Here we investigate the CVD growth mechanism of graphene across the Cu grain boundaries using unidirectional aligned graphene domains, which simplifies the analysis of both graphene and Cu to a large extent. We found that for a graphene domain grown across the Cu grain boundary, the domain orientation is determined by the Cu grain where the domain nucleation center is located, and the Cu grain boundary will not change the growth behavior for this graphene domain. This growth mechanism is consistent with the Custep-attached nucleation and edge-attachment-limited growth mechanism for H-terminated graphene domains and will provide more guidance for the synthesis of high-quality graphene with less domain boundaries.

The Effect of Agomelatine in Behavioral and Psychological Symptoms of Dementia

Carol Sheei-Meei Wang(Carol Sheei-Meei Wang ),Kuo-Sheng Cheng(Kuo-Sheng Cheng),Chia-Hung Tang(Chia-Hung Tang),Ming-Chyi Pai(Ming-Chyi Pai),Pai-Lien Chen(Pai-Lien Chen),Pei-Fang Chien(Pei-Fang Chien) 대한정신약물학회 2022 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.20 No.4

Objective: Moderate and severe behavioral and psychological symptoms of dementia (BPSD) often need medical treatment to improve symptoms. Agomelatine is a selective melatonergic (MT1/MT2) agonist that has normalizing effects on disturbed circadian rhythms and disrupted sleep−wake cycles. Its activity of 5HT-2C receptor antagonism is associated with lessening depression and anxiety and increasing slow-wave sleep. Based on past clinical records and current findings it suggests that agomelatine can improve BPSD for patients. This retrospective cohort study was designed to compare the BPSD before and after using agomelatine. Methods: Records of dementia cases who had ever received agomelatine treatment for BPSD in a general hospital setting during the past 2.5 years were identified and reviewed. Scores from before and after 3 months of treatment with agomelatine were collected for Neuropsychiatric Inventory (NPI), Brief Psychiatric Rating Scale (BPRS), and Clinical Global Impression (CGI) to compare and analyze the difference of psychological and behavioral symptoms pre- and post-agomelatine used. Results: Records of 144 cases of dementia with BPSD who had ever used agomelatine from January 2015 to June 2017 were collected. All of the 112 cases had BPRS and CGI scores, of which 75 cases had additional NPI scores. Among these 112 cases, the BPRS and CGI scores were significantly improved in all types of dementia. NPI scores indicated that the use of agomelatine alleviated obvious symptoms and decreased overall distress, especially in the depression/poor mood, anxiety, and sleep/night behavior. Conclusion: It is consistent with an effective result of agomelatine in improving BPSD.

Involvement of Yellow-y in the cuticle pigmentation of the larvae, pupae and adults in Henosepilachna vigintioctopunctata

Wang Pei,Ze Long-Ji,Jin Lin,Li Guo-Qing 한국응용곤충학회 2022 Journal of Asia-Pacific Entomology Vol.25 No.1

Yellow-y (Y-y) contributes to the accumulation of melanins in insect cuticle. However, the underlining mecha nism requires further investigation. Two classical hypotheses have been proposed: Y-y acts as a dopachrome conversion enzyme (DCE) to accelerate biosynthesis of melanins; alternatively, Y-y serves as a cuticular anchor for pigments. Henosepilachna vigintioctopunctata is a serious defoliator attacking Solanaceae and Cucurbitaceae plants. The beetle shows a species-specific pigmentation pattern: stage-dependent dark patches are distributed on pale-yellow background. Here we noted that RNA interference (RNAi)-aided knockdown of Hvyellow-y at the newly-ecdysed second- and third-instar larval, and 1-day-old prepupal stages changed coloration in both dark patches and pale-yellow background. Black pigmentation was lightened in the Hvy-y hypomorphs, including various body portions such as larval heads, antennae, mouthparts, scoli, strumae, legs and exuviae, pupal and adult thoraces and abdomens, and adult elytra and hindwings. Moreover, the coloration background was yel lowed in the RNAi beetles. Specifically, more yellow pigments were observed to deposit around the black dorsal markings in the hypomorphic pupal metathorax. Furthermore, the boundaries between black patches and yellow background were distinct in the resultant ladybirds. Similarly, the margins around bristle follicles and droplet spots were not fuzzy within the RNAi pupal black patches. In summary, even though Y-y facilitates the pigmentation in H. vigintioctopunctata exocuticle, our data did not support the pigment anchor hypothesis.

Low salinity promotes the growth of broccoli sprouts by regulating hormonal homeostasis and photosynthesis

Pei Wang,Xinyue Li,Lu Tian,Zhenxin Gu,Runqiang Yang 한국원예학회 2019 Horticulture, Environment, and Biotechnology Vol.60 No.1

Broccoli sprouts produce several bioactive compounds and are recognized as a health-promoting vegetable. In this study,the eff ect of salinity (NaCl) on the growth of broccoli sprouts was investigated. Broccoli seeds were germinated for 4 and 8d with spraying 0–120 mM NaCl and then harvested to evaluate changes in endogenous hormones, photosynthetic indices,chlorophyll fl uorescence parameters and chloroplast ultrastructure. The growth of sprouts was signifi cantly promoted by lowsalinity (40 and 80 mM NaCl) and inhibited by high salinity treatment (120, 160 and 200 mM NaCl). In 8-day-old sproutstreated with 80 mM NaCl, levels of abscisic acid, cytokinin, brassinolide, indole-3-acetic acid and gibberellic acid weresignifi cantly enhanced, while net photosynthetic rate increased in low salinity conditions was due to the elevated chlorophyllcontent and increased photosystem II activity. Furthermore, low salinity increased the leaf area maximally in both 4- and8-day-old sprouts. Enlarged chloroplast and an increased number of grana also contributed to improved photosynthesis. Low salinity conditions induced endogenous growth hormone synthesis and improved photosynthesis, thereby promotingthe growth of broccoli sprouts. This study provides a theoretical basis for the improved production of broccoli sprouts inlow salinity conditions.

DIAGNOSTIC VALUE OF ADRENAL SCINTIPHOTOGRAPHY IN ADRENAL DISEASES

Wang, Pei Wen,Huang, Miau Ju,Tzen, Kai Yuan,Su, Cheng Daw 대한핵의학회 1984 핵의학 분자영상 Vol.18 No.1

Expression and Effects of JMJD2A Histone Demethylase in Endometrial Carcinoma

Wang, Hong-Li,Liu, Mei-Mei,Ma, Xin,Fang, Lei,Zhang, Zong-Feng,Song, Tie-Fang,Gao, Jia-Yin,Kuang, Ye,Jiang, Jing,Li, Lin,Wang, Yang-Yang,Li, Pei-Ling Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.7

Previous studies have demonstrated that JMJD2A is a potential oncogene and is overexpressed in human tumors. However, its role in the endometrial carcinoma remains largely unknown. In this study, we discovered that JMJD2A was overexpressed in endometrial carcinoma, using immunohistochemistry, quantitative realtime polymerase chain reaction, and western blotting. Downregulation of JMJD2A led to reduced endometrial carcinoma RL95-2 and ISK cell proliferation, invasion and metastasis as asessed with cell counting kit-8, cell migration and invasive assays. Collectively, our results support that JMJD2A is a promoter of endometrial carcinoma cell proliferation and survival, and is a potential novel drug target.

Meta-Learning Approaches for mmWave Path Loss Modeling in Smart Factories

Pei Wang,Hyukjoon Lee 한국통신학회 2022 ICT Express Vol.8 No.2

With the growing interest in both public and private 5G services based on millimeter wave (mmWave) communication for indoor usage scenarios such as smart factories, site design specialists are seeking sophisticated methods and tools for simulating indoor radio coverage based on highly accurate path loss prediction models. Although machine learning approaches can be used in path loss modeling thanks to the highly accurate prediction capability, their performance can be limited by the size of available measurement data set used for training. In this paper, we propose new approaches to train path loss models in the few-shot learning scenarios of smart factories. The proposed approaches are based on meta-learning with slight modifications to perform fine-tuning over an entire train data set rather than a meta-test data set. It is shown that the indoor path loss models based on convolutional neural networks (CNNs) trained by meta-learning based on three different meta-train task assignment schemes outperform both a conventional CNN model and an empirical model.