Antioxidant capacity, flavor and physicochemical properties of FH06 functional beverage fermented by lactic acid bacteria: a promising method to improve antioxidant activity and flavor of plant functional beverage

Yan Xian-Tao,Zhang Ziqi,Wang Yubao,Zhang Wenmiao,Zhang Longfei,Liu Yang,Chen Dawei,Wang Wenqiong,Ma Wenlong,Qian Jian-Ya,Gu Ruixia 한국응용생명화학회 2023 Applied Biological Chemistry (Appl Biol Chem) Vol.66 No.-

The ability of natural plants to treat chronic diseases is closely related to their antioxidant function. Lactic acid bacteria (LAB) fermentation is an effective way to improve the nutritional value, biological activity and flavor of food. This study investigated the pH, titratable acidity, total polysaccharide, total flavone, total saponin, total polyphenol, and antioxidant activity of the FH06 beverage before and after probiotic fermentation. Results: After fermentation, FH06 had lower contents of total polysaccharides, total flavonoids, total saponins and total polyphenols but higher titratable acidity. The antioxidant activity was tested by total antioxidant capacity (FRAP method) and DPPH· scavenging ability. The FRAP value significantly increased after fermentation (P < 0.05), and the maximum increase was observed for Lactobacillus fermentum grx08 at 25.87%. For DPPH· scavenging ability, the value of all fermentations decreased, and L. fermentum grx08 had the smallest reduction at 2.21% (P < 0.05). The results of GC–MS and sensory analysis showed that fermentation eliminated bad flavors, such as grass, cassia and bitterness, and highlighted the fruit aroma and soft sour taste. Conclusion: The FRAP value and sensory flavor of FH06 fermentation by L. fermentum grx08 were significantly improved, indicating its great potential as a functional food with both strong antioxidant activity and good flavor.

Stem cells from human exfoliated deciduous teeth attenuate trigeminal neuralgia in rats by inhibiting endoplasmic reticulum stress

Yang, Zhijie,Wang, Chun,Zhang, Xia,Li, Jing,Zhang, Ziqi,Tan, Zhao,Wang, Junyi,Zhang, Junyang,Bai, Xiaofeng The Korean Pain Society 2022 The Korean Journal of Pain Vol.35 No.4

Background: The treatment of trigeminal neuralgia remains a challenging issue. Stem cells from human exfoliated deciduous teeth (SHED) provide optimized therapy for chronic pain. This study aimed to investigate the mechanisms underlying the attenuation of trigeminal neuralgia by SHED. Methods: Trigeminal neuralgia was induced by chronic constriction injury of the infraorbital nerve. The mechanical threshold was assessed after model establishment and local SHED transplantation. Endoplasmic reticulum (ER) morphology and Caspase12 expression in trigeminal ganglion (TG) was evaluated as well. BiP expression was observed in PC12 cells induced by tunicamycin. Results: The local transplantation of SHED could relieve trigeminal neuralgia in rats. Further, transmission electron microscopy revealed swelling of the ER in rats with trigeminal neuralgia. Moreover, SHED inhibited the tunicamycin-induced up-regulated expression of BiP mRNA and protein in vitro. Additionally, SHED decreased the up-regulated expression of Caspase12 mRNA and protein in the TG of rats caused by trigeminal neuralgia after chronic constriction injury of the infraorbital nerve mode. Conclusions: This findings demonstrated that SHED could alleviate pain by relieving ER stress which provide potential basic evidence for clinical pain treatment.

Deep Multi-Agent Reinforcement Learning for Resource Allocation in D2D Communication Underlaying Cellular Networks

Xu Zhang,Ziqi Lin,Beichen Ding,Bo Gu,Yu Han 한국통신학회 2020 한국통신학회 APNOMS Vol.2020 No.09

Device-to-device communications underlaying cellular networks have been recognized as one of the key technologies for the fifth generation (5G) cellular system to improve the spectrum efficiency and system capacity. In this paper, we investigate the potential of deep reinforcement learning (DRL) for joint subcarrier assignment and power allocation in a general form of D2D networks, where a subcarrier can be assigned to multiple D2D pairs and each D2D pair is permitted to utilize multiple subcarriers. We first formulate the above problem as a Markov decision process, and then propose a double deep Q-network (DQN)-based subcarrier-power allocation algorithm to learn the optimal policy in the absence of full instantaneous channel state information (CSI). Specifically, each D2D pair acts as a learning agent that adjusts its own subcarrier-power allocation strategy iteratively through interactions with the operating environment in a trial-and-error fashion. Simulation results confirm that the proposed algorithm achieves near optimal performance in real time. It is worth mentioning that the proposed algorithm is especially suitable for the case where the environmental dynamics is not accurate and the CSI delay cannot be ignored.

An Improved Wu-Manber Multiple Patterns Matching Algorithm for Mobile Internet Content Security Audit in a Chinese Environment

Zhenjiang Zhang,Xinlei Jin,Ziqi Hao,Xiaolan Guan 보안공학연구지원센터 2014 International Journal of Security and Its Applicat Vol.8 No.3

A Small Bipedal Trans-Scale Precision Positioning Stage Based on Inertial Stick-Slip Driving

Xi Zhang,Bowen Zhong,Bin Liu,Ziqi Jin,Zhenhua Wang,Lining Sun 한국정밀공학회 2021 International Journal of Precision Engineering and Vol.22 No.3

The small size and high flexibility of the mobile platform is widely used in many fields such as electron scanning microscope (SEM), but the mobile platform still adopts the structure of guide rail at present and has the problem of large volume and poor flexibility, which cannot meet the requirements of SEM for small cavity. Therefore, this paper proposes a small bipedal trans-scale precision positioning stage based on the inertial stick-slip driving to achieve small size and high flexibility. The mobile platform consists of two piezoelectric actuators, a frame structure, two bottom plates, two pre-tightening screws, and magnets, and the volume is 15 mm × 10 mm × 9.5 mm. To investigate the locomotion characteristics of the mobile platform, a prototype is manufactured, and a series of experiments are carried out. The experimental results show that its linear motion velocity can reach 3.553 mm/s and its angular velocity can reach 462.72mrad/s, which means that the mobile platform has good motion performance.

A Multi-objective Two-sided Disassembly Line Balancing Optimization Based on Artificial Bee Colony Algorithm: A Case Study of an Automotive Engine

Lei Zhang,Yuanfeng Wu,Xikun Zhao,Shiwen Pan,Ziqi Li,Hong Bao,Yongtin Tian 한국정밀공학회 2022 International Journal of Precision Engineering and Vol.9 No.5

Disassembly is an important part of green manufacturing and remanufacturing. The disassembly line is an optimum form for mass and automatic disassembly in the industry. To optimize the disassembly system and the use of resources, the disassembly line balancing problem (DLBP) has attracted much attention. Compared with the conventional one-sided straight disassembly line, the two-sided disassembly line can use both the left and right sides of a conveyor belt for disassembly operation, thereby improving production efficiency, especially for large-sized and complicated products. On the other hand, due to the constraints and precedence among parts, it is a challenge to plan the disassembly scheme for a two-sided disassembly line. In this paper, a model is established to solve a two-sided disassembly line balancing problem (TDLBP). First, a hybrid graph is utilized to express constraints and precedence relationships, and a novel encoding and decoding method is developed for the disassembly scheme planning of a two-sided line for handling the challenge caused by constraints and precedence among parts. Then, a multi-objective TDLBP optimization model is proposed including the number of matedworkstations, idle time, smoothness index, the auxiliary indicator, and a meta-heuristic based on an artificial bee colony (ABC) algorithm is designed to solve TDLBP. Finally, the proposed model and method are applied to an automotive engine case, and the results are compared with NSGA-II, hybrid artificial bee colony algorithm (HABC), and multi-objective flower pollination algorithm (MOFPA) to verify the practicality of the proposed model in solving the TDLBP.

Optimized Modulation for Three-Level Boost Converters with ZVS under Unbalanced Load

Zhou He,Hongfa Ding,Ziqi Zhang,Zhigang Yao,Fei Deng,Yi Tang 전력전자학회 2023 ICPE(ISPE)논문집 Vol.2023 No.-

Three-level boost (TLB) converters with voltage balance capability are promising to serve as the interface in bipolar DC microgrids. With different power of the positive and negative DC buses in bipolar DC microgrids, conventional modulation methods of TLB converters fail to zero voltage switching (ZVS) for all switches, and the peak current is also high, leading to inductor saturation. In this paper, an optimized modulation method is proposed to achieve ZVS for all switches even under unbalanced loads. The modulation degree of freedom of TLB converters is analyzed in detail, and the advantages of the proposed modulation method are compared with its counterparts. The effectiveness and advantages of the optimized modulation method is validated by experiments.

Polymorphism of Estrogen Receptor Genes and Its Interactions With Neurodevelopmental Genes in Attention Deficit Hyperactivity Disorder Among Chinese Han Descent

Yiwei Lin,Haimei Li,Jing Zhang,Ziqi Yang,Yi Zhou,Lu Liu,Qiujin Qian 대한신경정신의학회 2023 PSYCHIATRY INVESTIGATION Vol.20 No.8

Objective Attention deficit hyperactivity disorder (ADHD) is a polygenic neurodevelopmental disorder with significant gender differences. The sexual dimorphism of ADHD may be associated with estrogen acting through estrogen receptors (ESR). This study investigates the impact of <i>ESR</i> gene polymorphism and its interactions with neurodevelopmental genes on ADHD susceptibility.Methods The study compared genotyping data of single nucleotide polymorphisms in <i>ESR1</i> and <i>ESR2</i> in 1,035 ADHD cases and 962 controls. The gene-gene interactions between <i>ESR</i> genes and three neurodevelopmental genes (brain-derived neurotrophic factor [<i>BDNF</i>], synaptosomal-associated protein of 25 kDa gene [<i>SNAP25</i>], and cadherin-13 [<i>CDH13<i></i></i>]) in ADHD were investigated using generalized multifactor dimensionality reduction and verified by logistic regression analysis.Results The G allele of rs960070/<i>ESR2</i> (empirical p=0.0076) and the A allele of rs8017441/<i>ESR2</i> (empirical p=0.0426) were found significantly higher in ADHD cases than in the controls but not in male or female subgroups. Though no difference was found in all subjects or females, the A allele of rs9340817/<i>ESR1</i> (empirical p=0.0344) was found significantly higher in ADHD cases than controls in males. We also found genetic interaction models between <i>ESR2</i> gene, neurodevelopmental genes and ADHD susceptibility in males (<i>ESR2</i> rs960070/<i>BDNF</i> rs6265/<i>BDNF</i> rs2049046/<i>SNAP25</i> rs362987/<i>CDH13</i> rs6565113) and females (<i>ESR2<i></i></i> rs960070/<i>BDNF<i></i></i> rs6265/<i>BDNF</i> rs2049046) separately, though it was negative in overall subjects.Conclusion The <i>ESR</i> gene polymorphism associates with ADHD among Chinese Han children, with interactions between <i>ESR<i></i></i> genes and neurodevelopmental genes potentially influencing the susceptibility of ADHD.