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159 results for “authentication”
DNA metabarcoding authentication of Ayurvedic herbal products on the European market raises concerns of quality and fidelity
<p>Ayurveda is one of the oldest systems of medicine in the world, but the growing commercial interest in Ayurveda based products has increased the incentive for adulteration and substitution within this herbal market. Fraudulent practices such as the use of undeclared fillers and use of other species of inferior quality is driven both by the increased as well as insufficient supply capacity of especially wild plant species. Developing novel strategies to exhaustively assess and monitor both the quality of raw materials and final marketed herbal products is a challenge in herbal pharmacovigilance. Seventy-nine Ayurvedic herbal products sold as tablets, capsules, powders and extracts were randomly purchased via e-commerce and pharmacies across Europe, and DNA metabarcoding was used to assess the ability of this method to authenticate these products. Our analysis reveals that only two out of 12 single ingredient products contained only one species as labelled, eight out of 27 multiple ingredient products contained none of the species listed on the label, and the remaining 19 products contained 1 to 5 of the species listed on the label along with many other species not specified on the label. The fidelity for single ingredient products was 67 %, the overall ingredient fidelity for multi ingredient products was 21 %, and for all products 24 %. The low level of fidelity raises concerns about the reliability of the products, and detection of threatened species raises further concerns about illegal plant trade. The study highlights the necessity for quality control of the marketed herbal products and shows that DNA metabarcoding is an effective analytical approach to authenticate complex multi ingredient herbal products. However, effort needs to be done to standardize the protocols for DNA metabarcoding before this approach can be implemented as routine analytical approaches for plant identification, and approved for use in regulated procedures.</p>
HCPN Model for the article A Self-Sovereign Identity-based Authentication and Reputation Protocol for IoV Applications
<p>HCPN modules of the entire formal validation model of the article A Self-Sovereign Identity-based Authentication and Reputation Protocol for IoV Applications.</p>
The Influence of Biometric Authentication on Electronic Wallet Security Towards Perceptions of Gen Z Usage Behavior
<p>This study explores the impact of technological developments on Generation Z, especially the security of transactions using electronic payment methods. By focusing on understanding attitudes, behavior, and challenges related to technology, this research aims to identify the factors that influence Generation Z's behavior toward the security of electronic payment transactions. The data collection process was carried out from April 19, 2024, to April 26, 2024, in this research by asking questions via Google Forms. This method was chosen to explore various factors that influence the use of e wallets in Generation Z. A total of 194 responses were collected from 200 participants who have used or are currently using e wallets. Of these respondents, 121 women (62.4%) reported using e-wallets, while 73 men (37.6%) reported using e-wallets. The methodology used in this research uses Partial Least Squares Structural Equation Modeling (PLS-SEM) and SMART-PLS 3 software. The results validate 22 of the 28 indicators considered. This validation is proven through observations of external loads which are in the range of 0.7 to above 0.9. However, it should be noted that indicators such as ATU3, ATU5, PEU2, PEU5, SE5, and UB4 show external loading outside the range mentioned above, thus making them invalid. This study emphasizes the statistical significance of these factors, providing insight into their role in shaping Generation Z's attitudes toward electronic payment adoption.</p>
Behavior-based User Authentication Dataset
<p><strong>Description: </strong></p> <p>The behavior-based user authentication dataset is collected from the smart user authentication system through daily activities leveraging commodity WiFi. The dataset contains the extracted CSI features from 8 walking activities and 9 stationary activities from 11 and 5 volunteers, respectively. The experiments are conducted in 2 different environments, including a university office and an apartment. We hope this dataset will help researchers to reproduce the former work of user authentication through WiFi sensing. </p> <p> </p> <p><strong>Dataset Format:</strong></p> <p>.dat files</p> <p><strong>Section 1: Device Configuration: </strong></p> <ul> <li><strong>Transmitter: </strong>Intel 5300 NIC with a Dell E6430 laptop for control. </li> <li><strong>Receiver: </strong>Intel 5300 NIC with a Lenovo T61 laptop for control.</li> <li>Run with a Linux 14.04 operating system with 4.2.0 kernel. Equipped with 3 MINI PCI-E internal antennas. </li> <li>Intel 5300 network interface card (NIC) for CSI collection. The detail information regarding the CSI tool can be found at <a href="https://dhalperi.github.io/linux-80211n-csitool/faq.html">https://dhalperi.github.io/linux-80211n-csitool/faq.html</a>.</li> <li><strong>WiFi Packet Rate:</strong> 1000 pkts/s</li> </ul> <p> </p> <p><strong>Section 2: Data Format</strong></p> <p>We provide raw data received by the CSI tool. The data files are saved in the dat format. The details are shown in the following:</p> <ol> <li>8 walking activities and 8 stationary activities are collected from 11 and 5 participants are from two different experiments. </li> <li>Each data file contains 30 rounds of one type of activity from each participant.</li> <li>The dataset file name is presented as " Day_Channel_User_Action ". The detailed information as: <ul> <li>Day: The exact date this data was collected. </li> <li>User: The participants that CSI was collected from.</li> <li>Channel: The specific WiFi channel data was collected from.</li> <li>Action: The specific activity performed.</li> </ul> </li> </ol> <p>Note: we select these data specifically to form the dataset to make it efficent, we did not publish every data that we have collected during paper writing. If you have any question regarding the dataset, please contact us for detail information.</p> <p><strong>Section 3: Experimental Setups</strong></p> <p>There are 2 different experiment setups, including a university office and an apartment environment, for our data collection. The detailed setups are shown in the paper. For the activities, we involve 8 walking activities and 8 stationary activities. An image of the experimental setup and the illustration of activities from two different environments is included in the dataset.</p> <ul> <li><strong>Environments: </strong> <ul> <li>2 different environments are involved, including an office environment with the size of 26 ft × 14 ft and an apartment with the size of 36 ft × 22 ft.</li> </ul> </li> <li><strong>Activity description: </strong> <ul> <li>A total of 8 walking activities and 8 stationary activities (30 rounds for each) are performed by 11 and 5 volunteers.</li> <li>The walking activities include 8 different trajectories of walking.</li> <li>The stationary activities include 8 daily activities, such as typing on the keyboard, turning on the light, opening the cabinet, fetching documents, eating, opening the oven, opening the fridge and opening the door.</li> </ul> </li> </ul> <table> <caption>Detailed daily activities performed</caption> <tbody> <tr> <td><strong>Code</strong></td> <td><strong>Walking activity</strong></td> <td><strong>Code</strong></td> <td><strong>Stationary activity</strong></td> </tr> <tr> <td>A</td> <td>Entrance ⇒ Seat</td> <td>a</td> <td>Working (i.e., typing keyboard)</td> </tr> <tr> <td>B</td> <td>Seat ⇒ Entrance</td> <td>b</td> <td>Turning on the light</td> </tr> <tr> <td>C</td> <td>Seat ⇒ Light Switch</td> <td>c</td> <td>Opening the cabinet</td> </tr> <tr> <td>D</td> <td>Light Switch ⇒ Seat</td> <td>d</td> <td>Fetching documents</td> </tr> <tr> <td>E</td> <td>Seat ⇒ Cabinet</td> <td>e</td> <td>Eating at the table</td> </tr> <tr> <td>F</td> <td>Cabinet ⇒ Seat</td> <td>f</td> <td>Opening the microwave oven</td> </tr> <tr> <td>G</td> <td>Entrance ⇒ Kitchen</td> <td>g</td> <td>Opening the refrigerator </td> </tr> <tr> <td>H</td> <td>Kitchen ⇒ Entrance</td> <td>h</td> <td>Opening the door</td> </tr> </tbody> </table> <ul> <li><strong>Number of data samples:</strong> <ul> <li>In total, 3335 activity segments are performed by 11 subjects in the office. 834 activity segments are performed by 5 subjects in the apartment.</li> </ul> </li> </ul> <p> </p> <p><strong>Section 4: Data Description</strong></p> <p>We separate our raw data into different folders based on different environment types. In each environment type, data are further distributed in terms of date. Each file includes all data from three internal antennas. All data files are in .dat format. We also provide Matlab scripts for CSI analysis and visualization. The following variables can be revealed from the codes:</p> <ol> <li>CSI: This is the Channel State Information (CSI) received from one receiver antenna. It describes the signal propagation from the transmitter to the receiver, and it is very sensitive to the impact of environmental changes. Each data reveals CSI from 30 subcarriers. </li> <li>Relative Phase: Relative Phase is a measurement to describe the degree of synchronization between data received from different antennas. It can be used to determine the phase offset for further signal preprocessing.</li> <li>Time: This is the time interval in which the data file contains. It measures time by the number of seconds. It can be used to determine how long the signal has been received.</li> </ol> <p><strong>Section 5: Codes</strong></p> <ul> <li>analysis_spectrogram.m: load a .dat file and extract all data based on the “Data description” (I.e, CSI, and Relative Phase).</li> </ul> <p><strong>Section 6: Citations</strong></p> <p>If your work is related to our work, please cite our papers as follows.</p> <p><a href="https://dl.acm.org/doi/10.1145/3084041.3084061">https://dl.acm.org/doi/10.1145/3084041.3084061</a></p> <p>Cong Shi, Jian Liu, Hongbo Liu, and Yingying Chen. 2017. Smart User Authentication through Actuation of Daily Activities Leveraging WiFi-enabled IoT. In Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing (Mobihoc '17). Association for Computing Machinery, New York, NY, USA, Article 5, 1–10. </p> <p> </p> <p><strong>Bibtex:</strong></p> <p>@inproceedings{shi2017smart,</p> <p> title={Smart user authentication through actuation of daily activities leveraging WiFi-enabled IoT},</p> <p> author={Shi, Cong and Liu, Jian and Liu, Hongbo and Chen, Yingying},</p> <p> booktitle={Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing},</p> <p> pages={1--10},</p> <p> year={2017}</p> <p>}</p>
IDSL.CSA spectra of authentic standards from MTBLS1040 study
<p>IDSL.CSA spectra of authentic standards from MTBLS1040 study. These standards were analyzed at seven concentrations. The results show that only at very low level, CSA spectra lack the minimum ions (2) for authentic standards. </p>
Iraqi Kurd or Arab Male Authenticity Detection Based on Facial Features
<p>This collection comprises images of Iraqi males from the two biggest ethnic groupings in Iraq, Arabs, and Kurds. 260 picture samples were used to depict male Iraqi Kurds and Arabs. A range of preprocessing and data improvement approaches were used for the dataset.</p>
Fig. 3 in Authenticating wild Piper species (peppers) originating from islands in the Indian Ocean on the basis of morphological, genetic and chemical characteristics
Fig. 3. Phylogenetic dendrogram obtained from the combined sequences (Its + psbJ-petA) using the Neighbour Joining (NJ) method.
Fig. 2 in Exploration of genetic, morphological and essential oil variation reveals tools for the authentication and breeding of Salvia pomifera subsp. calycina (Sm.) Hayek
Fig. 2. Principal Coordinates Analysis based on the codominant genotypic distances of the S. pomifera subsp. calycina individuals from the five Peloponnese populations (pom1 (blue square): 1–10, pom2 (green rhombus): 11–20, pom3 (pink triangle): 21–30, pom4 (purple x): 31–39, pom5 (red circle): 40–49). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Exploration of genetic, morphological and essential oil variation reveals tools for the authentication and breeding of Salvia pomifera subsp. calycina (Sm.) Hayek
Fig. 3. Proportion of membership of each pre-defined population in each genetic group created by STRUCTURE for a. K = 2 and b. for K = 4. Every individual is represented by a vertical line divided into colours representing the different genetic groups (1–10: S. fruticosa populations, 11–15: S. pomifera subsp. calycina populations, last vertical line S. officinalis sample). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Exploration of genetic, morphological and essential oil variation reveals tools for the authentication and breeding of Salvia pomifera subsp. calycina (Sm.) Hayek
Fig. 1. Discriminant analysis based on the thirty-one essential oil components, present above 0.1 % in all Salvia pomifera subsp. calycina samples, with the population (pom1-pom5) as grouping variable.
Fig. 3 in Establishment of conventional PCR and real-time PCR assays for accurate, rapid and quantitative authentication of four mistletoe species
Fig. 3. Sensitivity and amplification efficiency of qPCR assay using species-specific primers and serial dilutions of standard DNA. PCR cycling (A, C, E, G) and melting curve (B, D, F, H) analysis of primers specific for V. coloratum using VC-F3/R4 (A, B); T. sutchuenensis var. duclouxii using TS-F3/R4-1 (C, D), K. japonica using KJ-F5-1/R4 (E, F), and L. tanakae using LT-F5/R5-1 primers (G, H). Arrows indicate the amplification curves (A, C, E, G) of serial dilutions of standard DNA with NTC. Threshold was determined according to the Rotor-Gene Q series software (version 2.3.1) manual.
Fig. 2 in Establishment of conventional PCR and real-time PCR assays for accurate, rapid and quantitative authentication of four mistletoe species
Fig. 2. Sensitivity of multiplex PCR assay in conventional PCR. M: 100 bp DNA ladder. VC: V. coloratum. TS: T. sutchuenensis var. duclouxii. KJ: K. japonica. LT: L. tanakae. (+) means samples mixed different species used in PCR template. Hyphens and arrows indicate the sizes of DNA ladder and PCR products, respectively.
Fig. 4 in Establishment of conventional PCR and real-time PCR assays for accurate, rapid and quantitative authentication of four mistletoe species
Fig. 4. Analysis of commercial mistletoe products sold as leached tea in the Korean market using multiplex PCR assay. M: 100 bp DNA ladder. C1, VC_JM; C2, VC_GY; C3, TS_HR1; C4, TS_GC2; C5, KJ_SC1; C6, KJ_PS; C7, LT_GW; and C8, LT_JC (positive control). Lanes 1–16: Commercial food and herbal medicine products distributed as authentic mistletoe. Hyphens and arrows indicate the sizes of DNA ladder and PCR products, respectively. *, inauthentic products whose identity did not match the description on the label; **, inauthentic products whose identity matched the description on the label.
Dataset - Methods to Authenticate Luxury Products: Identifying Key Features and Most Recognized Deficits
<p>This is a complementary dataset for the papers:</p> <p>Zimmermann, R., Udokwu, C. J., Kompp, R., Brandtner, P., & Norta, A. (2022). Authentication of Luxury Products – Identifying Key Requirements from a Seller and Consumer Perspective. <em>Communications in Computer and Information Science</em>, 195-209. https://doi.org/10.1007/978-981-19-8069-5_13</p> <p>Zimmermann, R., Udokwu, C. J., Kompp, R., Staab, M., Brandtner, P., & Norta, A. (In Press). Dataset - Methods to Authenticate Luxury Products: Identifying Key Features and Most Recognized Deficits. <em>SN Computer Science. DOI: 10.1007/s42979-023-02201-5.</em></p>
Sauna for Offline Connections and Interactive, Authentic Living
ClinicalTrials.gov study NCT07223099. IPD Sharing: YES. Countries: 1. Publications: 2.
Fig. 1 in Molecular authentication of Pargo fillets Lutjanus purpureus (Perciformes: Lutjanidae) by DNA barcoding reveals commercial fraud
Fig. 1. Neighbor-joining (NJ) tree constructed from a 600-bp of the COI gene, showing two clades, which indicates the presence of two species among the fillets labeled as "Pargo"; the nucleotide divergence between the species (the value of 8.7%) is indicated above the outermost node. Within parentheses the frequency of each haplotype is described and the replacement rate present in the fillets is shown in plot to the right.
Data from: Comparative authentication of Hypericum perforatum herbal products using DNA metabarcoding, TLC and HPLC-MS
Many herbal products have a long history of use, but there are increasing concerns over product efficacy, safety and quality in the wake of recent cases exposing discrepancies between labeling and constituents. When it comes to St. John's wort (Hypericum perforatum L.) herbal products, there is limited oversight, frequent off-label use and insufficient monitoring of adverse drug reactions. In this study, we use amplicon metabarcoding (AMB) to authenticate 78 H. perforatum herbal products and evaluate its ability to detect substitution compared to standard methods using thin-layer chromatography (TLC) and high performance liquid chromatography coupled with mass spectrometry (HPLC-MS). Hypericum perforatum was detected in 68% of the products using AMB. Furthermore, AMB detected incongruence between constituent species and those listed on the label in all products. Neither TLC nor HPLC-MS could be used to unambiguously identify H. perforatum. They are accurate methods for authenticating presence of the target compounds, but have limited efficiency in detecting infrageneric substitution and do not yield any information on other plant ingredients in the products. Random post-marketing AMB of herbal products by regulatory agencies could raise awareness among consumers of substitution and would provide an incentive to manufacturers to increase quality control from raw ingredients to commercialized products.
PROBLEMATIC ISSUES IN TEACHING ENGLISH TO B1 LEVEL STUDENTS USING AUDIO-VISUAL AUTHENTIC MATERIALS
<p>In these days modern English teacher should be aware of all useful techniques and methods of teaching English. While using such kind of methods, they may come across with many difficulties which students may get distracted during the lessons. </p><p>Therefore, this article focuses on the methodological problems in teaching English to B1 level students using audio-visual authentic materials. Provided that several explanations to some teaching methods of foreign language by giving their positive and negative sides as well. Besides that, during the teaching process, EFL teachers may find using audio-visual authentic materials complicated due to the organizational issues. Taking account of foregoing, in this papers gives some tricky ways of applying audio-visual authentic materials in the classroom. So this paper attempted to investigate Uzbek teachers attitude towards the use of authentic materials at higher level in Uzbek schools according to communicative skills. Fifteen teachers who work at local schools were surveyed by the tool of questionnaire via google form for the purpose of this study. The results and feedbacks were provided at the end of the paper. </p>
Fig. 9 in Species authentication of Tor spp. (family Cyprinidae) in Indonesia based on osteocranium structure and biometric data
Fig. 9. Multivariate analysis (PCA) of the osteocranium biometric characters of four Tor species.
New electronic evidence authentication and protection scheme based on lattice
<p>The electronic evidence authentication and protection scheme is based on the lattice cryptosystem, and other illegal users or attackers are unable to obtain the original electronic evidence data in the whole process of the electronic evidence protection system, which well protects the security of the original electronic evidence and increases the overall security of the scheme.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.