How to correctly identify herbal materials in market: A case study based on DNA barcodes

Background: Traditional methods for identifying herbal medicines have many shortcomings. In this study, we aim to test discriminating ability of DNA barcodes and explore feasible method on evaluating identification results.Materials and Methods: Materials of whole-plant medicines were sampled from herbal market. 111 samples were used for DNA sequencing of ITS2 and trnH-psbA regions. Assembled sequences were searched against reference database using the BLAST method. Comprehensive evaluation based on pharmacognostic investigation, macroscopic identification and identification of DNA barcodes were performed for authentication of the herbal materials.Results: As a result, ITS2 had better identifying power than trnH-psbA in species-specific level (55.86% & 45.95%), as well as worse success rate of DNA sequencing (74.58% & 94.59%). In total, 89.19% individuals could be identified in genus level at least.Conclusion: It was revealed that DNA barcoding was useful tool in identifying herbal materials. Both ITS2 and trnH-psbA should be incorporated into the standard regions of DNA barcodes for identifying herbal materials.Keywords: DNA barcodes, herbal materials, ITS2, trnH-psbA, identificatio

HeteFedRec: Federated Recommender Systems with Model Heterogeneity

Owing to the nature of privacy protection, federated recommender systems (FedRecs) have garnered increasing interest in the realm of on-device recommender systems. However, most existing FedRecs only allow participating clients to collaboratively train a recommendation model of the same public parameter size. Training a model of the same size for all clients can lead to suboptimal performance since clients possess varying resources. For example, clients with limited training data may prefer to train a smaller recommendation model to avoid excessive data consumption, while clients with sufficient data would benefit from a larger model to achieve higher recommendation accuracy. To address the above challenge, this paper introduces HeteFedRec, a novel FedRec framework that enables the assignment of personalized model sizes to participants. In HeteFedRec, we present a heterogeneous recommendation model aggregation strategy, including a unified dual-task learning mechanism and a dimensional decorrelation regularization, to allow knowledge aggregation among recommender models of different sizes. Additionally, a relation-based ensemble knowledge distillation method is proposed to effectively distil knowledge from heterogeneous item embeddings. Extensive experiments conducted on three real-world recommendation datasets demonstrate the effectiveness and efficiency of HeteFedRec in training federated recommender systems under heterogeneous settings

MARKET SURVEY ON TRADITIONAL MEDICINE OF THE THIRD MONTH FAIR IN DALI PREFECTURE IN YUNNAN PROVINCE, SOUTH WEST CHINA

Background: The Third Month Fair in Dali is a historical festival and fair. The market of traditional medicine (TM) is one of the main parts in the fair, which has important influence on local and peripheral people. Materials and Methods: In this study, approaches of ethnobotany, pharmacognosy, and participatory rural appraisal were used in market survey. Twenty-six druggists were selected randomly as informants and their TMs were recorded. Results: As a result, 427 TMs were recorded including 362 plant medicines, 33 animal medicines, 13 mineral medicines and 19 unidentified medicines. Xinyi, Shanza and Gancao were the most popular medicines due to their popular usages, whereas Sanqi, Tianma and Renshen were relatively fewer in this investigation probably owing to high price and limited output. The plant medicines were from medicinal plants of 117 families belonged to Angiosperm, Gymnospermae, Pteridophyta, Bryophyta, Lichenes and Fungi. Asteraceae, Apiaceae and Fabaceae provided the maximum numbers of TMs successively. Moreover, these TMs were mainly from the cultivated especially familiar TMs, which reflected significant progress in utilization and conservation of medicinal resource in China. Conclusion: Medicinal market in the Third Month Fair is the most important traditional bazaar in Yunnan province. This study systematically surveyed TMs in the fair for the first time, analyzing and revealing resource compositions and current market situations. These newly gathered data provided precious information for development of medicine cultivation, resource protection and market management as well as further pharmacognostical, pharmacological and clinical researches

Fast growth of monolayer organic 2D crystals and their application in organic transistors

Growth of monolayer 2D organic crystal has been an interesting topic in recent years owing to their promising properties. However, it is still a tough challenge to obtain the 2D organic crystal with precise thickness control and uniform morphology. Herein, we reported the fabrication of 2D crystals of alkane molecules C44H90 with only monolayer thickness and tunable size through the simple dip-coating process. Benefitted from the low solubility of the C44H90 and the isotropic Van der Waals interaction, quadrilateral-shape monolayer 2D crystals with size from several micrometers to nearly hundreds of micrometers can be achieved in the dip-coating process. Utilized the X-ray diffraction and high resolution atomic force microscopy, we obtained the clear packing mode of these monolayer crystals. In addition, these smooth 2D crystals show promising application in the thin film transistors by acting as a molecular template layer. It leads to an increment of about one magnitude on the charge mobility owing to the decreasing of both morphology defects and interface traps.</p

INTERNAL TRANSCRIBED SPACER (ITS), AN IDEAL DNA BARCODE FOR SPECIES DISCRIMINATION IN CRAWFURDIA WALL. (GENTIANACEAE)

Background: DNA barcoding is a technique used to identify species based on species-specific differences in short regions of their DNA. It is widely used in species discrimination of medicinal plants and traditional medicines. Materials and Methods: In the present study, four potential DNA barcodes, namely rbcL, matK, trnH-psbA and ITS (nuclear ribosomal internal transcribed spacer) were adopted for species discrimination in Crawfurdia Wall (Genetiaceae). Discriminatory ability of these DNA barcodes and combinations were evaluated using three classic methods (Distance, Blast and Tree-Building). Results: As a result, ITS, trnH-psbA and rbcL regions showed extremely great universality for a success rate of 100%; whereas matK was disappointing for which only 65% samples gained useful DNA sequences. ITS region performed very well in this study which could clearly and effectively identify the five species in Crawfurdia. On the contrary, trnH-psbA and rbcL were much weaker in discrimination among these species. Conclusion: ITS marker was an ideal DNA barcode in Crawfurdia and it should be incorporated into one of the core barcodes for seed plants

HOW TO CORRECTLY IDENTIFY HERBAL MATERIALS IN MARKET? A CASE STUDY BASED ON DNA BARCODES

Background: Traditional methods for identifying herbal medicines have many shortcomings. In this study, we aim to test discriminating ability of DNA barcodes and explore feasible method on evaluating identification results. Materials and Methods: Materials of whole-plant medicines were sampled from herbal market. 111 samples were used for DNA sequencing of ITS2 and trnH-psbA regions. Assembled sequences were searched against reference database using the BLAST method. Comprehensive evaluation based on pharmacognostic investigation, macroscopic identification and identification of DNA barcodes were performed for authentication of the herbal materials. Results: As a result, ITS2 had better identifying power than trnH-psbA in species-specific level (55.86% & 45.95%), as well as worse success rate of DNA sequencing (74.58% & 94.59%). In total, 89.19% individuals could be identified in genus level at least. Conclusion: It was revealed that DNA barcoding was useful tool in identifying herbal materials. Both ITS2 and trnH-psbA should be incorporated into the standard regions of DNA barcodes for identifying herbal materials

Guidance Compliance Behavior on VMS Based on SOAR Cognitive Architecture

SOAR is a cognitive architecture named from state, operator and result, which is adopted to portray the drivers' guidance compliance behavior on variable message sign (VMS) in this paper. VMS represents traffic conditions to drivers by three colors: red, yellow, and green. Based on the multiagent platform, SOAR is introduced to design the agent with the detailed description of the working memory, long-term memory, decision cycle, and learning mechanism. With the fixed decision cycle, agent transforms state through four kinds of operators, including choosing route directly, changing the driving goal, changing the temper of driver, and changing the road condition of prediction. The agent learns from the process of state transformation by chunking and reinforcement learning. Finally, computerized simulation program is used to study the guidance compliance behavior. Experiments are simulated many times under given simulation network and conditions. The result, including the comparison between guidance and no guidance, the state transition times, and average chunking times are analyzed to further study the laws of guidance compliance and learning mechanism