Precise Authentication Research Articles

Fingerprint Identification Method Based on Convulsional Neural Networks

The article presents an advanced method of fingerprint identification based on convolutional neural network (CNN) technology. This work elaborately describes the development and implementation process of a specialized CNN architecture for detecting and verifying the authenticity of fingerprints. Utilizing the comprehensive Socofing dataset allowed for an in -depth analysis of the model’s ability to distinguish between genuine and fabricated fingerprints, where the model demonstrated impressive accuracy – up to 98.964%. Special attention is given to error analysis, including the false discovery and omission rates, pointing towards potential directions for further improvement. Besides highlighting the technical aspects and high identification accuracy, the article also addresses potential challenges and limitations that the method might encounter. This includes issues related to the imbalance and diversity of data in the Socofing set, as well as limitations associated with computational resources when training deep neural networks. Potential pathways for model optimization are discussed, particularly focusing on reducing the false omission rate, which could improve user experience in authentication. The concluding section of the article emphasizes the importance of the presented work for the security sector, where precise authentication of fingerprint images is critically needed. The obtained results can be considered a solid foundation for future scientific developments in this direction. Additionally, the need for systematic updates and modifications of the model is highlighted to adapt it to continually improved imitation techniques, ensuring its long-term relevance and effectiveness.

An Automated Precise Authentication of Vehicles for Enhancing the Visual Security Protocols

The movement of vehicles in and out of the predefined enclosure is an important security protocol that we encounter daily. Identification of vehicles is a very important factor for security surveillance. In a smart campus concept, thousands of vehicles access the campus every day, resulting in massive carbon emissions. Automated monitoring of both aspects (pollution and security) are an essential element for an academic institution. Among the reported methods, the automated identification of number plates is the best way to streamline vehicles. The performances of most of the previously designed similar solutions suffer in the context of light exposure, stationary backgrounds, indoor area, specific driveways, etc. We propose a new hybrid single-shot object detector architecture based on the Haar cascade and MobileNet-SSD. In addition, we adopt a new optical character reader mechanism for character identification on number plates. We prove that the proposed hybrid approach is robust and works well on live object detection. The existing research focused on the prediction accuracy, which in most state-of-the-art methods (SOTA) is very similar. Thus, the precision among several use cases is also a good evaluation measure that was ignored in the existing research. It is evident that the performance of prediction systems suffers due to adverse weather conditions stated earlier. In such cases, the precision between events of detection may result in high variance that impacts the prediction of vehicles in unfavorable circumstances. The performance assessment of the proposed solution yields a precision of 98% on real-time data for Malaysian number plates, which can be generalized in the future to all sorts of vehicles around the globe.

An all-in-one nanoprinting approach for the synthesis of a nanofilm library for unclonable anti-counterfeiting applications

In addition to causing trillion-dollar economic losses every year, counterfeiting threatens human health, social equity and national security. Current materials for anti-counterfeiting labelling typically contain toxic inorganic quantum dots and the techniques to produce unclonable patterns require tedious fabrication or complex readout methods. Here we present a nanoprinting-assisted flash synthesis approach that generates fluorescent nanofilms with physical unclonable function micropatterns in milliseconds. This all-in-one approach yields quenching-resistant carbon dots in solid films, directly from simple monosaccharides. Moreover, we establish a nanofilm library comprising 1,920 experiments, offering conditions for various optical properties and microstructures. We produce 100 individual physical unclonable function patterns exhibiting near-ideal bit uniformity (0.492 ± 0.018), high uniqueness (0.498 ± 0.021) and excellent reliability (>93%). These unclonable patterns can be quickly and independently read out by fluorescence and topography scanning, greatly improving their security. An open-source deep-learning model guarantees precise authentication, even if patterns are challenged with different resolutions or devices.

Pseudotargeted Metabolomics Approach Enabling the Classification-Induced Ginsenoside Characterization and Differentiation of Ginseng and Its Compound Formulation Products.

The use of diversified ginseng extracts in health-promoting foods is difficult to differentiate, as they share bioactive ginsenosides among different Panax species (e.g., P. ginseng, P. quinquefolius, P. notoginseng, and P. japonicus) and different parts (e.g., root, leaf, and flower). This work was designed to develop a pseudo-targeted metabolomics approach to discover ginsenoside markers facilitating the precise authentication of ginseng and its use in compound formulation products (CFPs). Versatile mass spectrometry experiments on the QTrap mass spectrometer achieved classified characterization of the neutral, malonyl, and oleanolic acid-type ginsenosides, with 567 components characterized. A pseudo-targeted metabolomics approach by multiple reaction monitoring (MRM) of 262 ion pairs could assist to establish key identification points for 12 ginseng species. The simultaneous detection of 14 markers enabled the identification of ginseng from 15 ginseng-containing CFPs. The pseudo-targeted metabolomics strategy enabled better performance in differentiating among multiple ginseng, compared with the full-scan high-resolution mass spectrometry approach.

SAPWSN: A Secure Authentication Protocol for Wireless Sensor Networks

With the advancement of RFID systems, there is a need for secure RFID authentication that can provide security against a variety of attacks, so designing a perfectly safe protocol has become a security challenge. The most remarkable security challenges may be information leakage, traceability, and tag impersonation. Several researchers have attempted to address this security demand by proposing ultra-lightweight solutions that use only very low-cost operations such as bit-wise operations. However, approximately all of the presented previous ultra-lightweight authentication schemes are vulnerable to a variety of attacks. For this purpose, Chiou and Chang recently proposed an EPC Class 1 Gen-2-based RFID authentication protocol and claimed it is resistant against replay attacks and also other known active and passive attacks. They also stated that their proposed protocol does not require features such as a secure channel, time parameters, or virtual IDs. In this paper, we will investigate the security of the Chiou and Chang authentication scheme and demonstrate that it is completely insecure. Specifically, we will present the security faults of this scheme. In addition, we will present an enhanced protocol called SAPWSN. The proposed protocol presents precise authentication and highly secure transfers. We demonstrate the proposed protocol’s security in the formal and informal methods. In the formal method, we use the Compromise version of Scyther tool.

ER stress-related protein, CHOP, may serve as a biomarker of mechanical asphyxia: a primary study.

The precise authentication of death from mechanical asphyxia (DMA) has been a complex problem in forensic medicine. Besides the traditional methods that concern the superficial characterization of the body, researchers are now paying more attention to the biomarkers that may help the identification of DMA. It has been reported that the extremely hypoxic environment created by DMA can cause the specific expression of mitochondria-related protein, which may sever as the biomarkers of DMA authentication. Since endoplasmic reticulum stress (ER stress) has been found to be related to the dysfunction of mitochondria, it is promising to look for the biomarkers of DMA among ER stress-related proteins. In this article, animal and cell experiments were conducted to examine how ER-mitochondria interaction may be influenced in the hypoxic condition caused by DMA primarily. Human samples were then used to verify the possible biomarkers of DMA. We found that ER stress-related protein CHOP was significantly up-regulated within a short-term postmortem interval (PMI) in brain tissue of DMA samples, which may interact with a series of ER stress- and mitochondria-related protein, leading to the apoptosis of the cells. It was also verified in human samples that the expression level of CHOP can sever as a potential biomarker of DMA within a specific PMI.

Whole genome sequencing of marine organisms by Oxford Nanopore Technologies: Assessment and optimization of HMW-DNA extraction protocols.

Marine habitats are Earth's largest aquatic ecosystems, yet little is known about marine organism's genomes. Molecular studies can unravel their genetics print, thus shedding light on specie's adaptation and speciation with precise authentication. However, extracting high molecular weight DNA from marine organisms and subsequent DNA library preparation for whole genome sequencing is challenging. The challenges can be explained by excessive metabolites secretion that co‐precipitates with DNA and barricades their sequencing. In this work, we sought to resolve this issue by describing an optimized isolation method and comparing its performance with the most commonly reported protocols or commercial kits: SDS/phenol–chloroform method, Qiagen Genomic Tips kit, Qiagen DNeasy Plant mini kit, a modified protocol of Qiagen DNeasy Plant kit, Qiagen DNeasy Blood and Tissue kit, and Qiagen Qiamp DNA Stool mini kit. Our method proved to work significantly better for different marine species regardless of their shape, consistency, and sample preservation, improving Oxford Nanopore Technologies sequencing yield by 39 folds for Spirobranchus sp. and enabling generation of almost 10 GB data per flow cell/run for Chrysaora sp. and Palaemon sp. samples.

Ultra-high performance liquid chromatography/ion mobility time-of-flight mass spectrometry-based untargeted metabolomics combined with quantitative assay unveiled the metabolic difference among the root, leaf, and flower bud of Panax notoginseng

Despite Panax notoginseng (Sanchi: the root and rhizome) is globally popular serving as the source of food additives, health-care products, and traditional Chinese medicines (TCMs), the saponin difference between the root (PNR) and two aerial parts (leaf, PNL; flower bud, PNF) that can be vicariously used, remains unclear. Authentication of Sanchi, particular from the Chinese patent medicines (CPMs), poses great challenges. Ultra-high performance liquid chromatography/ion mobility-quadrupole time-of-flight mass spectrometry (UHPLC/IM-QTOF-MS)-based untargeted metabolomics and quantitative assay by UHPLC-UV were utilized to establish the “Identification Markers” for Sanchi. Targeted monitoring of multiple identification markers was performed for authenticating Sanchi simultaneously from 15 different CPMs. Dimension-enhanced profiling by UHPLC/IM-QTOF-MS in the negative high-definition MS E (HDMS E ) mode and in-house library-driven peak annotation could characterize totally 328 ginsenosides (133 from PNR, 125 from PNL, and 161 from PNF). Multivariate statistical analysis of the PNR/PNL/PNF samples (45 batches) identified 27 potential markers. Five major markers (notoginsenoside R1, ginsenosides Rg1, -Rb1, -Rb2, and -Rb3) thereof were quantitatively assayed by a fully validated UHPLC-UV (detected at 203 nm) approach. The application of selective ion monitoring (SIM) of 12 differential saponins coupled with UHPLC separation could precisely identify Sanchi from 15 different CPMs (45 batches). Holistic difference in ginsenosides among three parts of P. notoginseng was unveiled, and the markers deduced may assist to identify the illicit substitution of leaf or flower as the root in the TCM compound formulae. Conclusively, the integration of untargeted metabolomics and quantitative analysis can provide reliable information enabling the precise authentication of TCM.

A Novel qNMR Application for the Quantification of Vegetable Oils Used as Adulterants in Essential Oils.

Essential oils (EOs) are more and more frequently adulterated due to their wide usage and large profit, for this reason accurate and precise authentication techniques are essential. This work aims at the application of qNMR as a versatile tool for the quantification of vegetable oils potentially usable as adulterants or diluents in EOs. This approach is based on the quantification of both 1H and 13C glycerol backbone signals, which are actually present in each vegetable oil containing triglycerides. For the validation, binary mixtures of rosemary EO and corn oil (0.8–50%) were prepared. To verify the general feasibility of this technique, other different mixtures including lavender, citronella, orange and peanut, almond, sunflower, and soy seed oils were analyzed. The results showed that the efficacy of this approach does not depend on the specific combination of EO and vegetable oil, ensuring its versatility. The method was able to determine the adulterant, with a mean accuracy of 91.81 and 89.77% for calculations made on 1H and 13C spectra, respectively. The high precision and accuracy here observed, make 1H-qNMR competitive with other well-established techniques. Considering the current importance of quality control of EOs to avoid fraudulent practices, this work can be considered pioneering and promising.

SCoT markers provide insight into the genetic diversity, population structure and phylogenetic relationships among three Pistacia species of Iran

Genetic variability, phylogenetic relationship and population structure were evaluated among 50 accessions of three Iranian Pistacia species using start codon targeted (SCoT) primers and morphological traits. Genetic similarity and structure of the germplasm were evaluated based on the molecular data and their association with phenotypic characters were estimated by multiple regression analysis. The SCoT primers amplified 76 fragments on the germplasm with high level of polymorphism (98.46%). The average of RP, PIC, and MI were 3.30, 0.38, and 2.12, respectively representing the effectiveness of primer set for genetic discrimination among the Pistacia species. A high level of genetic variability was observed among the accessions. The germplasm belonging to the same species were grouped together using different clustering methods. Among the studied species, P. khinjuk Stocks. proved to be the most diverse species and had the highest gene diversity (h = 0.33) and Shannon’s information indices (I = 0.483) followed by P. atlantica Desf. and P. vera L., respectively. According to results, P. vera and P. khinjuk were the most closely related species, while P. atlantica and P. vera had the highest genetic differentiation. Significant association was observed between some of the morphological attributes and a number of SCoT generated fragments. Three species-specific amplicons were detected in P. atlantica and P. vera which can be used for designing sequence characterized amplification regions (SCAR) primers and subsequent marker assistant selection as well as species assignment in controversial cases. This study indicates the effectiveness of SCoT technique for genetic characterization of Pistacia germplasm, which could be used for genetic diversity and evolutionary assessments, detecting and tagging of agronomically important traits as well as quick, reliable and more precise authentication of Pistacia species.

A Multidisciplinary Management Framework for the Treatment of Benign Prostatic Hyperplasia with Focus on Homoeopathy: A Review

AbstractBackground Benign prostatic hyperplasia (BPH) is a globally prevailing urological condition among ageing men. In India, a few epidemiological studies conducted on BPH patients suggest it as the most common pathological condition with an incidence of around 93.3%. Although non-malignant, the condition adversely impacts the quality of life (QoL) in a way similar to that of other non-communicable diseases like diabetes, hypertension and cardiovascular diseases.Objective This article aims to review the comprehensive management of BPH with focus on homoeopathic treatment.Methods PubMed, EMBASE, Google Scholar, AYUSH PORTAL and leading homoeopathic journals were searched for articles on BPH and its homoeopathic management.Results The review offers a holistic framework for management of BPH that is inclusive of modifiable lifestyle factors alongside homoeopathic treatments. It further underscores that the condition may be cost-effectively managed through homoeopathy to bring about better QoL among people with BPH.Conclusion Lifestyle optimisation and management of metabolic risk factors may reduce the progression of BPH. Homoeopathic medicines are not only useful in effective management of BPH but also cost-effective, safe and non-surgical. However, randomised controlled trials and double-blind studies can be further taken up in future for more precise authentication.

A Simultaneous Face and QR-code Collation System Using High-speed Active Vision

We develop a two-factor collation system that can simultaneously authenticate face and QR-code information by tracking them into magnified images with high-speed pan-tilt zooming. It consists of an ultrafast mirror-drive telephoto pan-tilt camera to obtain zoom-in images around a human face and hands for precise authentication and a wide-view camera for human pose estimation. Its effectiveness was verified by showing simultaneous collation results when a person had a smart phone displaying a QR-code at 5 m distance from the camera system.

Untargeted metabolomics coupled with chemometric analysis reveals species-specific steroidal alkaloids for the authentication of medicinal Fritillariae Bulbus and relevant products

Authentication of original species is embedded in the quality control system of herbal medicines. In this work, ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry-based untargeted metabolomics coupled with chemometric analysis was utilized for the precise authentication of the Fritillaria species for both raw materials and commercial products. First, a stepwise difference-enlarging chemometric analysis strategy was proposed to analyze eight medicinal Fritillaria species. Subsequently, 21 species-specific markers were discovered and the specificity was investigated under different sample preparation methods. Finally, the obtained species-specific markers were successfully utilized to identify the Fritillaria species in commercially relevant products. This work is the first to report robust and specific markers for authentication of Fritillaria products, showing promise for tracking the supply chain of herbal suppliers.

Machine Learning for Intelligent Authentication in 5G and Beyond Wireless Networks

The 5G and beyond wireless networks are critical to support diverse vertical applications by connecting heterogeneous devices and machines, which directly increase vulnerability for various spoofing attacks. Conventional cryptographic and physical layer authentication techniques are facing some challenges in complex dynamic wireless environments, including significant security overhead, low reliability, as well as difficulties in pre-designing a precise authentication model, providing continuous protection, and learning time-varying attributes. In this article, we envision new authentication approaches based on machine learning techniques by opportunistically leveraging physical layer attributes, and introduce intelligence to authentication for more efficient security provisioning. Machine learning paradigms for intelligent authentication design are presented, namely for parametric/non-parametric and supervised/ unsupervised/reinforcement learning algorithms. In a nutshell, the machine-learning-based intelligent authentication approaches utilize specific features in the multi-dimensional domain for achieving cost-effective, more reliable, model-free, continuous, and situation-aware device validation under unknown network conditions and unpredictable dynamics.

Configuration-Based Fingerprinting of Mobile Device Using Incremental Clustering

Device fingerprinting has lately received great attention due to its effectiveness in fraud detection, secure authentication, and user tracking. Whereas fingerprinting performs well on labeled device data using classification methods, there are several researches concentrated on unlabeled mobile device data and existing methods often lack in precision and efficiency. To overcome this challenge, we focus on the use of the mobile device’s configuration-related characteristics as a mean to build a device fingerprint, which allows to distinctively and reliably characterize each device. In addition, an incremental clustering approach is proposed to classify unlabeled device data into clusters on the basis of their similarity. Moreover, we customize individual distance threshold for each user according to their device configurations’ modifying frequency, in order to construct a precise authentication mechanism between users and devices. The proposed clustering model and device fingerprinting system are evaluated on 8220 fingerprints from 815 different devices. The experimental results demonstrate the effectiveness and efficiency of our algorithms.

Effect of processing method on platycodin D content in Platycodon grandiflorum roots.

Platycodon grandiflorum root is a traditional medicine and food material rich in triterpenoid saponins. Its major constituent, platycodin D (PD), is known to have various pharmacological properties, but processing methods may influence the PD content. In this study, a fully validated HPLC-ELSD method was developed for the quantification of PD in various states of 73 P. grandiflorum root samples from East Asia, and it exhibited a marked variation of the content. Furthermore, the effects of processing procedures such as peeling and drying temperature on the PD content were investigated using UPLC-ELSD analysis, and as a result, a significant influence of processing methods such as peeling and heating of samples on the content was confirmed. Specifically, unpeeled samples that were dried at 40°C showed the greatest PD content. The obtained results could facilitate the reliable standardization of P. grandiflorum for precise authentication and efficacious applications.

Combined chemometric analysis of 1H NMR, 13C NMR and stable isotope data to differentiate organic and conventional milk

The increased sales of organically produced food create a strong need for analytical methods, which could authenticate organic and conventional products.Combined chemometric analysis of 1H NMR-, 13C NMR-spectroscopy data, stable-isotope data (IRMS) and α-linolenic acid content (gas chromatography) was used to differentiate organic and conventional milk. In total 85 raw, pasteurized and ultra-heat treated (UHT) milk samples (52 organic and 33 conventional) were collected between August 2013 and May 2014. The carbon isotope ratios of milk protein and milk fat as well as the α-linolenic acid content of these samples were determined. Additionally, the milk fat was analyzed by 1H and 13C NMR spectroscopy.The chemometric analysis of combined data (IRMS, GC, NMR) resulted in more precise authentication of German raw and retail milk with a considerably increased classification rate of 95% compared to 81% for NMR and 90% for IRMS using linear discriminate analysis.

PH-Dependent Molecular Behaviors of a New Potential Color Additive: 4{[6-(1-carboxyethyl)-2-hydroxy -1-naphthyl]diazenyl}-3,5- dinitro Benzoic Acid

Phenyl azo hydroxynaphthalene (PAHNP) is the pharmacophore in certain color additives (e.g. sunset yellow, FD & C yellow No. 6) approved for use in human foods, drugs and cosmetics. The azo compound, 4{[6-(1-carboxyethyl)-2-hydroxy -1-naphthyl] diazenyl}-3,5-dinitrobenzoic acid (AZ-03) is a new, non-genotoxic, PAHNP analog, in a mono-azo chemical library. Process understanding of pH dependent behaviors of the highly functionalized molecule, is a critical aid to its identification. Absorption spectra of a fixed concentration of AZ-03 [3.30 x 10-5 M] in buffer solutions of varied pH were recorded. Spectra overlay suggested isosbestic point exists around 520 nm. Absorbance measurements of solutions (1.10 x 10-5 M) of pH 7, 10 and 11 were taken at 522, 524, 526 and 528 nm. Relative contribuiton of variables to overall variance was; wavelength (7%, p = 0.16), pH of media (57%, p < 0.0001), interaction between pH and wavelength (7%, p = 0.46, 2-way ANOVA, Bonferroni test). The probability that signal difference across pH was due to chance was 4 times greater at 522 nm (p=0.29) relative to 524 nm (p=0.08, 1-way ANOVA). The orange, unionized specie and violet, ionized specie both exhibited intense absorption, with molar absorptivities of 14,600 (490 nm) and 12,800 (550 nm) [L mol-1 cm-1 ] respectively. AZ-03 was degraded by pseudo first-order kinetics in alkaline medium by specific-base catalysis. It was shown with some statistical rigor that the dye exhibits isosbestic point at 522 nm . Base-catalyzed degradation gave a non-linear and diagnostic rate-pH profile. These findings could aid precise authentication of this potential color additive, and thus facilitate further understanding and studies of its solution chemistry.

전자상거래에서의 소비자보호에 관한 법.제도적 연구

전자상거래는 1990년대 후반 이후부터 폭발적인 성장을 거듭해 가고 있다. 그러나 전자상거래의 비대면성과 익명성, 국제성, 일방성, 현혹가능성 등과 같은 특성으로 인하여 소비자의 피해가 증가하고 있다. 따라서 본 논문에서는 소비자보호를 위한 법 제도적 개선점을 다음과 같이 종합적으로 도출해 보았다. 첫째, 전자상거래소비자보호법상 청약철회권 행사기간을 연장할 필요가 있다. 둘째, 전자상거래는 비대면적으로 이루어지기 때문에 소비자가 착오를 일으킬 가능성이 높으며, 소비자가 자신의 착오를 입증하기가 용이하지 않으므로 사전에 착오가 발생하지 않도록 정확한 정보가 제공되도록 해야 한다. 셋째, 전자약관에 대한 인증마크 제도를 도입하여야 한다. 넷째, 소비자의 안전한 개인정보관리를 통한 개인정보유출과 이용에 대한 불안감이 없도록 법적, 제도적 그리고 기술적 대책이 강구되어야 한다. 다섯째, 인터넷 신뢰마크에 대한 엄격한 감독이 요구된다. 마지막으로 온라인 조정에 있어서 절차상 전송된 메시지나 문서에 대한 해킹 등을 통하여 제3자의 개입과 간섭이 있을 수 있으므로 당사자간의 명확한 인증을 통하여 시스템상에서의 보안성을 높일 필요가 있다. The electronic commerce keeps going through a tremendous growth since the latter half of 1990's. But the consumer damages are being increased from characteristics such as non-confrontation, anonymity, internationality, unilaterality and possibility of temptation. Accordingly, this thesis has derived legal and systematic improvements for consumer protection in general as follows. First of all, it is necessary to extend the period to exercise the subscription withdrawal rights according to electronic commerce consumer protection law. Second, the electronic commerce has high possibility of causing errors by consumers because it is performed by non-confrontation and the accurate information must be provided to prevent errors in advance because it is not easy for consumers to prove their own errors. Third, a certification mark system on electronic agreement has to be adopted. Fourth, the legal, systematic and technological measures have to be adopted to prevent from having a sense of fear toward leaking or using personal information through a safe personal information management. Fifth, a strict supervision on internet trust mark is required. Finally, because the intervention or interference by a third party may take place through a hacking on messages or documents sent according to procedure in terms of online settlement, it is necessary to raise security on the system through a precise authentication between concerned parties.

Molecular authentication of Thai medicinal plant Khamin khruea by PCR-RFLP analysis

Khamin khruea is a traditional medicine referred to the woody climber with yellow wood and root. Its stem has been widely used in Thai traditional medicine for treatment of stomachic and inflammatory-related symptoms such as cold, fever, and arthritis. In Thailand, Khamin khruea is the local name of three species in the family Menispermaceae including Arcangelisia flava (L.) Merr., Fibraurea tinctoria Lour. and Copscinium fenestratum (Gaertn.) Colebr [1]. These three plants have likely macroscopic and microscopic characteristics. Since neuro-toxicity of C. fenestratum has been reported [2], the precise authentication of C. fenestratum is necessary for the quality control purpose. Based on the18s rDNA sequences of the 3 species, a distinctive site recognized by a restriction enzyme Xma I in C. fenestratum was found and then PCR-restriction fragment length polymorphism (RFLP) analysis was established. A pair of new primers, 18SF404 and 18SR842, was designed based on the sequence of C. fenestratum to amplify a smaller fragment of 439 bp in length from genomic DNAs of the leaves of these three species and of crude drug samples. The PCR fragment of 18S (partial) rDNA region from C. fenestratum was cleaved into two fragments of 112 bp and 327 bp while the other species remained undigested. This method provides an effective and accurate identification of C. fenestratum.