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Hair growth-promotion effects and antioxidant activity of the banana flower extract HappyAngel^(■):double-blind, placebo-controlled trial

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Food Science and Human Wellness 2023年第5期12卷 1917-1923页

作者： Chia-Hua Liang yung-Hsiang Lin yung-Kai Lin Chi-Fu Chiang Department of Cosmetic Science and Institute of Cosmetic Science Chia Nan University of Pharmacy and ScienceTainan 71710China Research&Design Center TCI CO.Ltd.Taipei 114722China Institute of Food Safety and Risk Management Department of Food ScienceTaiwan Ocean UniversityKeelung 202301China Graduate Institute of Biomedical Engineering Chung Hsing UniversityTaichung 202301China

Banana flowers contain various bioactive components, including several antioxidants with anti-inflammatory effects. However, it is unclear whether they can reduce and prevent hair loss. This study examines the effect of banana flower extracts on preventing hair loss and strengthening hair roots. The banana flower extract(HappyAngel^(■))was used to treat human hair follicle dermal papilla cells(HFDPCs)and the expression of reactive oxygen species(ROS), dihydrotestosterone(DHT), and hair-related genes(SRD5A1, SRD5A2, AR, and KROX20)were monitored. Fifty subjects were divided into a placebo group and a banana flower group. The experimental group consumed banana flower extract daily for twelve weeks and then underwent hair testing, hair-related genes analysis, collection of hair loss, and questionnaires. The results showed that the banana flower extract significantly increased hair cell growth and decreased the expression of ROS, DHT, and hair follicle growth inhibition-related SRD5A1, SRD5A2, and AR genes, and significantly increased the expression of hair growth-related KROX20 gene in HFDPCs. Consuming banana flower extract for twelve weeks increased the hair root diameter and reduced hair loss and scalp redness compared to the placebo group. Thus, banana flower extract(HappyAngel^(■))can stimulate hair growth and inhibit the activation of hair loss genes.

关键词： Banana flower Dihydrotestosterone Hair loss ROS Follicle dermal papilla cells

Generating Time-Series Data Using Generative Adversarial Networks for Mobility Demand Prediction

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Computers, Materials & Continua 2023年第3期74卷 5507-5525页

作者： Subhajit Chatterjee yung-Cheol Byun Department of Computer Engineering Jeju National UniversityJeju-si63243Korea Department of Computer Engineering Major of Electronic EngineeringJeju National UniversityInstitute of Information Science&TechnologyJeju63243Korea

The increasing penetration rate of electric kickboard vehicles has been popularized and promoted primarily because of its clean and efficient features.Electric kickboards are gradually growing in popularity in tourist and education-centric localities.In the upcoming arrival of electric kickboard vehicles,deploying a customer rental service is essential.Due to its freefloating nature,the shared electric kickboard is a common and practical means of transportation.Relocation plans for shared electric kickboards are required to increase the quality of service,and forecasting demand for their use in a specific region is crucial.Predicting demand accurately with small data is troublesome.Extensive data is necessary for training machine learning algorithms for effective prediction.Data generation is a method for expanding the amount of data that will be further accessible for training.In this work,we proposed a model that takes time-series customers’electric kickboard demand data as input,pre-processes it,and generates synthetic data according to the original data distribution using generative adversarial networks(GAN).The electric kickboard mobility demand prediction error was reduced when we combined synthetic data with the original data.We proposed Tabular-GAN-Modified-WGAN-GP for generating synthetic data for better prediction results.We modified The Wasserstein GAN-gradient penalty(GP)with the RMSprop optimizer and then employed Spectral Normalization(SN)to improve training stability and faster convergence.Finally,we applied a regression-based blending ensemble technique that can help us to improve performance of demand prediction.We used various evaluation criteria and visual representations to compare our proposed model’s performance.Synthetic data generated by our suggested GAN model is also evaluated.The TGAN-Modified-WGAN-GP model mitigates the overfitting and mode collapse problem,and it also converges faster than previous GAN models for synthetic data creation.The presented model’s performance is compared to

关键词： Machine learning generative adversarial networks electric vehicle time-series TGAN WGAN-GP blend model demand prediction regression

Effects of areca nut consumption on cell differentiation of osteoblasts, myoblasts, and fibroblasts

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BIOCELL 2023年第2期47卷 283-287页

作者： yung-FU CHANG Department of Biomedical Science and Environmental Biology Kaohsiung Medical UniversityKaohsiung807Taiwan Department of Medical Research Kaohsiung Medical University HospitalKaohsiung807Taiwan Translational Research Center of Neuromuscular Diseases Kaohsiung Medical University HospitalKaohsiung807Taiwan

Areca nut is used worldwide as a hallucinogenic addicting drug along the tropical belt.Arecoline,a toxic compound,is the most important alkaloid in areca nuts.The adverse effects of oral uptake and chewing of areca nut are well known.For example,the possibility of cancer caused by chewing areca nuts is widely discussed.Chewing areca nut has other adverse effects on other organs,including abnormal cell differentiation,oral cancer,and several other diseases.The use of areca nut is also associated with low birthweight.Skeletal musculature is the largest organ in the body and is attached to the bones.During embryo development,the differentiation of bone and muscle cells is critical.In this article,we reviewed the effects of areca nut and arecoline on embryonic cell differentiation,particularly osteoblasts,myoblasts,and fibroblasts.

关键词： Areca nut Cell differentiation Osteoblast Myoblast Fibroblast

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基于形变场灰度场插值网络的切片间超分辨率

计算机与现代化 2024年第3期 67-71页

作者：刘迅张东袁达龙武汉大学物理科学与技术学院湖北武汉430072

磁共振成像是一种常见的医学影像方法。由于硬件等因素的限制,MR图像切片间分辨率会远低于切片内分辨率,图像的质量较低,影响医生对患者病情的诊断,因此需要提高切片间分辨率,以便显示图像更多的细节。为了实现切片间超分辨率,提出一种... 详细信息

磁共振成像是一种常见的医学影像方法。由于硬件等因素的限制,MR图像切片间分辨率会远低于切片内分辨率,图像的质量较低,影响医生对患者病情的诊断,因此需要提高切片间分辨率,以便显示图像更多的细节。为了实现切片间超分辨率,提出一种基于非参数化形变场和灰度场插值网络的算法。首先,根据图像配准原理,利用近似U-Net的网络对低分辨率图像中2张相邻切片进行无监督训练,以生成切片间的双向形变场。然后,利用第一张切片与形变场生成配准后的图像,将配准后的图像与第二张切片进行训练,得到它们之间的双向灰度场,由此得到相邻2张切片中间任意位置的形变场和灰度场。最后,利用插值的方法获得中间的任一位置切片。与其他现有的算法相比,该算法在视觉效果和客观评价指标上都有显著提升,其中PSNR和SSIM分别均在30 dB和0.99以上。

关键词：磁共振成像超分辨率形变场灰度场

Generating Synthetic Data to Reduce Prediction Error of Energy Consumption

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Computers, Materials & Continua 2022年第2期70卷 3151-3167页

作者： Debapriya Hazra Wafa Shafqat yung-Cheol Byun Department of Computer Engineering Jeju National UniversityJeju-siKorea

Renewable and nonrenewable energy sources are widely incorporated for solar and wind energy that produces electricity without increasing carbon dioxide emissions.Energy industries worldwide are trying hard to predict future energy consumption that could eliminate over or under contracting energy resources and unnecessary financing.Machine learning techniques for predicting energy are the trending solution to overcome the challenges faced by energy companies.The basic need for machine learning algorithms to be trained for accurate prediction requires a considerable amount of data.Another critical factor is balancing the data for enhanced prediction.Data Augmentation is a technique used for increasing the data available for training.Synthetic data are the generation of new data which can be trained to improve the accuracy of prediction models.In this paper,we propose a model that takes time series energy consumption data as input,pre-processes the data,and then uses multiple augmentation techniques and generative adversarial networks to generate synthetic data which when combined with the original data,reduces energy consumption prediction error.We propose TGAN-skip-Improved-WGAN-GP to generate synthetic energy consumption time series tabular data.We modify TGANwith skip connections,then improveWGANGPby defining a consistency term,and finally use the architecture of improved WGAN-GP for training TGAN-skip.We used various evaluation metrics and visual representation to compare the performance of our proposed model.We also measured prediction accuracy along with mean and maximum error generated while predicting with different variations of augmented and synthetic data with original data.The mode collapse problemcould be handled by TGAN-skip-Improved-WGAN-GP model and it also converged faster than existing GAN models for synthetic data generation.The experiment result shows that our proposed technique of combining synthetic data with original data could significantly reduce the prediction error rate and increase the p

关键词： Energy consumption generative adversarial networks synthetic data time series data TGAN WGAN-GP TGAN-skip prediction error augmentation

An integrative analysis of miRNA and mRNA expression in the brains of Alzheimer's disease transgenic mice after real-world PM_(2.5)exposure

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Journal of Environmental Sciences 2022年第12期34卷 25-40页

作者： Pengfei Fu Yufei Zhao Chuan Dong Zongwei Cai Ruijin Li Ken Kin Lam yung Department of Biology Hong Kong Baptist UniversityHong Kong SARChina Golden Meditech Center for NeuroRegeneration Sciences Hong Kong Baptist UniversityHong Kong SARChina Institute of Environmental Science Shanxi UniversityTaiyuan 237016China State Key Laboratory of Environmental and Biological Analysis Hong Kong Baptist UniversityHong Kong SARChina

Fine particulate matter(PM_(2.5))is associated with increased risks of Alzheimer's disease(AD),yet the toxicological mechanisms of PM_(2.5)promoting AD remain unclear.In this study,wildtype and APP/PS1 transgenic mice(AD mice)were exposed to either filtered air(FA)or PM_(2.5)for eight weeks with a real-world exposure system in Taiyuan,China(mean PM_(2.5)concentration in the cage was 61μg/m~3).We found that PM_(2.5)exposure could remarkably aggravate AD mice's ethological and brain ultrastructural damage,along with the elevation of the pro-inflammatory cytokines(IL-6 and TNF-α),Aβ-42 and ACh E levels and the decline of Ch AT levels in the brains.Based on high-throughput sequencing results,some differentially expressed(DE)m RNAs and DE mi RNAs in the brains of AD mice after PM_(2.5)exposure were screened.Using RT-q PCR,seven DE mi RNAs(mmu-mi R-193b-5p,122b-5p,466h-3p,10b-5p,1895,384–5p,and 6412)and six genes(Pcdhgb8,Unc13b,Robo3,Prph,Pter,and Tbata)were evidenced the and verified.Two mi RNA-target gene pairs(mi R-125b-Pcdhgb8 pair and mi R-466h-3p-IL-17Rα/TGF-βR2/Aβ-42/ACh E pairs)were demonstrated that they were more related to PM_(2.5)-induced brain injury.Results of Gene Ontology(GO)pathways and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathways predicted that synaptic and postsynaptic regulation,axon guidance,Wnt,MAPK,and m TOR pathways might be the possible regulatory mechanisms associated with pathological response.These revealed that PM_(2.5)-elevated pro-inflammatory cytokine levels and PM_(2.5)-altered neurotransmitter levels in AD mice could be the important causes of brain damage and proposed the promising mi RNA and m RNA biomarkers and potential mi RNA-m RNA interaction networks of PM_(2.5)-promoted AD.

关键词： Fine particulate matter mRNAs miRNAs Brain Alzheimer’s disease APP/PS1 transgenic mice

Probe-assisted NMR:Recent progress on the surface study of crystalline metal oxides with various terminated facets

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Magnetic Resonance Letters 2022年第1期2卷 9-16,I0002页

作者： yung-Kang Peng Shik-chi Edman Tsang Department of Chemistry City University of Hong KongKowloon TongHong Kong SAR0000China The Wolfson Catalysis Centre Department of ChemistryUniversity of OxfordOxfordOX13QRUK

The development of metal oxides with specific facet exposure for better catalytic performance in targeted applications has been well-documented.However,the understanding of surface structure-activity correlation is severely hindered by the current poor resolution of conventional surface characterization tools.In this mini-review,some of the latest research developments on the characterization of the surface structure and properties of faceted ZnO and TiO_(2)by probe-assisted nuclear magnetic resonance spectroscopy(NMR)are discussed.

关键词： Probe-assisted nuclear magnetic resonance Surface structure-property relationship ZnO TiO_(2)

基于农村内源性发展模式的新型夯土建筑策略——以“一专一村”西南农村地区项目为例

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建筑学报 2024年第1期 105-111页

作者：万丽吴恩融迟辛安柏文峰周来香港中文大学建筑学院中国香港999077 昆明理工大学建筑与城市规划学院昆明650500

提出内源性发展理念与当地生土建筑相结合的农村建设思路,以“一专一村”计划的一系列新型夯土建筑实践为例,从与环境和谐相处、发掘本土价值、尊重当地人的主体性、引入外部智力资源几个方面进行深入分析,总结出“科学方法、适宜技术... 详细信息

提出内源性发展理念与当地生土建筑相结合的农村建设思路,以“一专一村”计划的一系列新型夯土建筑实践为例,从与环境和谐相处、发掘本土价值、尊重当地人的主体性、引入外部智力资源几个方面进行深入分析,总结出“科学方法、适宜技术”的创新思路及“本土材料、本土技术、本土工匠”的组织原则,探讨系统性、跨学科、跨部门联动,提升乡村发展内生动力的建造模式。

关键词：内源性发展内生动力夯土建筑可持续发展

Effect of Martian atmosphere on aerodynamic performance of supersonic parachute two-body systems

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Chinese Journal of Aeronautics 2022年第4期35卷 45-54页

作者： Xiaopeng XUE He JIA Wei RONG Qi WANG Chih-yung WEN School of Aeronautics and Astronautics Central South UniversityChangsha 410083China Beijing Institute of Space Mechanics and Electricity Beijing 100094China Department of Mechanical Engineering The Hong Kong Polytechnic UniversityHong KongChina

Supersonic flows around parachute two-body systems are numerically investigated by solving the compressible Navier-Stokes equations. In the present study, both rigid and flexible parachute models are considered, which comprise a capsule and a canopy. The objective of the present study is to investigate the effects of the Martian atmosphere on the unsteady flows produced by these parachute two-body models and the structural behavior of the flexible canopy. It was found that in the Martian atmosphere, the supersonic rigid parachutes with shorter trailing distances exhibited weaker aerodynamic interactions between the capsule wake and canopy shock, resulting in a smaller pressure distribution on the typical surfaces of the canopy. By contrast, because the flow modes around the flexible parachute in the Martian atmosphere were similar to those of the rigid parachute under the air conditions of the wind tunnel tests, the canopy shape was almost unchanged. When a new canopy material was designed by decreasing the Young’s modulus and damping coefficient, an area oscillation phenomenon was observed in the flexible parachute with a trailing distance of 10 in the Martian atmosphere. Consequently, the Martian atmosphere(low density and pressure) has a significant effect on the aerodynamic performance of the flexible parachute system.

关键词： Canopy flexibility Fluid structure interaction Martian atmosphere Supersonic parachute Unsteady flow