Classification List Research Articles

AI hallucination: towards a comprehensive classification of distorted information in artificial intelligence-generated content

Amidst the burgeoning information age, the rapid development of artificial intelligence-generated content (AIGC) has brought forth challenges regarding information authenticity. The proliferation of distorted information significantly impacts users negatively. This study aims to systematically categorize distorted information within AIGC, delve into its internal characteristics, and provide theoretical guidance for its management. Utilizing ChatGPT as a case study, we conducted empirical content analysis on 243 instances of distorted information collected, comprising both questions and answers. Three coders meticulously interpreted each instance of distorted information, encoding error points based on a predefined coding scheme and categorizing them according to error type. Our objective was to refine and validate the distorted information category list derived from the review through multiple rounds of pre-coding and test coding, thereby yielding a comprehensive and clearly delineated category list of distorted information in AIGC. The findings identified 8 first-level error types: “Overfitting”; “Logic errors”; “Reasoning errors”; “Mathematical errors”; “Unfounded fabrication”; “Factual errors”; “Text output errors”; and “Other errors”, further subdivided into 31 second-level error types. This classification list not only lays a solid foundation for studying risks associated with AIGC but also holds significant practical implications for helping users identify distorted information and enabling developers to enhance the quality of AI-generated tools.

Rotationally invariant translators of the mean curvature flow in Einstein's static universe

In this paper, we deal with non-degenerate translators of the mean curvature flow in the well-known Einstein's static universe. We focus on the rotationally invariant translators, that is, those invariant by a natural isometric action of the special orthogonal group on the ambient space. In the classification list, there are three space-like cases and five time-like cases. All of them, except a totally geodesic example, have one or two conic singularities. Also, we show a uniqueness result based on the behaviour of the translator on its boundary. As an application, we extend an isometry of the sphere to the whole translator under simple conditions. This leads to a characterization of a bowl-like example.

Prognostic impact of SF3B1 mutation and multilineage dysplasia in myelodysplastic syndromes with ring sideroblasts: a Mayo Clinic study of 170 informative cases.

The revised 4th edition of the World Health Organization (WHO4R) classification lists myelodysplastic syndromes with ring sideroblasts (MDS-RS) as a separate entity with single lineage (MDS-RS-SLD) or multilineage (MDS-RS-MLD) dysplasia. The more recent International Consensus Classification (ICC) distinguishes between MDS with SF3B1 mutation (MDS-SF3B1) and MDS-RS without SF3B1 mutation; the latter is instead included under the category of MDS not otherwise specified. The current study includes 170 Mayo Clinic patients with WHO4R-defined MDS-RS, including MDS-RS-SLD (N=83) and MDS-RSMLD (N=87); a subset of 145 patients were also evaluable for the presence of SF3B1 and other mutations, including 126 with (87%) and 19 (13%) without SF3B1 mutation. Median overall survival for all 170 patients was 6.6 years with 5- and 10-year survival rates of 59% and 25%, respectively. A significant difference in overall survival was apparent between MDS-RS-MLD and MDS-RS-SLD (P<0.01) but not between MDS-RS with and without SF3B1 mutation (P=0.36). Multivariable analysis confirmed the independent prognostic contribution of MLD (hazard ratio=1.8, 95% confidence interval: 1.1-2.8; P=0.01) and also identified age (P<0.01), transfusion need at diagnosis (P<0.01), and abnormal karyotype (P<0.01), as additional risk factors; the impact from SF3B1 or other mutations was not significant. Leukemia-free survival was independently affected by abnormal karyotype (P<0.01), RUNX1 (P=0.02) and IDH1 (P=0.01) mutations, but not by MLD or SF3B1 mutation. Exclusion of patients not meeting ICC-criteria for MDS-SF3B1 did not change the observations on overall survival. MLD-based, as opposed to SF3B1 mutation-based, disease classification for MDS-RS might be prognostically more relevant.

Phenomenon‐based classification: An Annual Review of Information Science and Technology (ARIST) paper

AbstractWhile bibliographic classifications are traditionally based on disciplines, the logical alternative is phenomenon‐based classification. Although not prevalent, this approach has been explored in the 20th century by J.D. Brown, the Classification Research Group, and others. Its principles have been stated in the León Manifesto (2007) and are currently represented by such general schemes as the Basic Concepts Classification and the Integrative Levels Classification. A phenomenon‐based classification lists classes of phenomena, including things and processes irrespective of the discipline studying them (which can optionally be specified as an additional facet). Facets can work in a phenomenon‐based system much as in a disciplinary one. This kind of system will promote the identification of potential relationships between research in different disciplines, and will especially benefit interdisciplinary work. The paper reviews the theory, history, structure, advantages, applications, and evaluation of phenomenon‐based classification systems.

ON THE FORMULATION OF THE PROBLEM OF THE PHILOSOPHY OF LANGUAGE AND THE LANGUAGE OF THE PHILOSOPHY OF ABU NASR AL-FARABI

Al-Farabi's views on the issue of language largely coincide with Aristotle's. But unlike Aristotle, who limited the study of language to the framework of poetics and rhetoric, and did not accept language as an independent object of study at all, Farabi singles out language as a subject of scientific research, distinguishes it as a subject of scientific research, and includes it in the classification list of subjects that are considered as the main branch of science, which is an in-depth study requires. In the philosophical question of language, the main question is the question of the origin of language. This question has not always escaped the attention of scholars of the Arabic-speaking world, this issue has interested Arab linguists, Muslim theologians, and, of course, philosophers. The philosophy of language and philosophical language problems in the teaching of Abu Nasir al-Farabi: to analyze the history of the development of the main problems of the philosophy of language in order to study the relationship between language and consciousness, the continuity of logic and grammar, and the peculiarities of the formation of philosophical terms, to show their importance for the development of the scientific paradigm of social and humanitarian education, Determining the philosophical (ontological, methodological, epistemological, axiological) foundations of Farabi's teaching about language, formulating the philosophical problems of language in connection with logic, studying his opinions on terms and terminology, conceptual-categorical apparatus with explanations, etc. the critical tasks of providing a philosophical basis for the actual problems and methodological principles of research. The philosophy of language is not only a branch of philosophy that studies the relationship between thinking and language, but also allows to determine the communicative role of language, different forms of speech and speech in discourse, the role of consciousness and knowledge in cognition. Although al-Farabi's sociological, political, and partially logical views have been studied until now, the study of the relationship between words and thinking, grammar and logic, making a systematic philosophical analysis of his linguistic researches, will be an important indicator of the article.

Developing Communication Competencies of Library Professionals Through Semiotics Theory Approach in the Contemporary Information System

Purpose: The purpose of this paper is to identify the relationship between semiotics theory and communication theory and focus on how semiotics could act as a useful tool to play a big role in the development of communication competencies of library professionals in the contemporary information system. Design/ Methodology/ Approach: The study is fundamentally analytical and qualitative in nature. The analysis of semiotic theory and communication theory is done one by one. In this paper, we use the semiotics theory approach in library services and propose an illustrative library classification list based on Dewey Decimal Classification (DDC) for the development of an effective communication competency as well as improve the visual literacy skills of library professionals. Findings: After the study, we find out that the semiotic theory is a general and unrestricted model of sign whereas communication theory is also a general and unrestricted model of communication which is useful for every field of study including the LIS field. Semiotics theory and Communication theory both are very similar and Semiotics build a strong communication competency and improve the visual literacy skills of library professionals. Practical implications: This study will be helpful for library professionals to develop their competencies according to the needs of the hour. Users will be more beneficial and attracted to the library than the formal mode of communication. Those people who cannot communicate in an unknown language and are unable to articulate language can also communicate easily through the visual mode of communication with the help of semiotics. Originality: This paper is the first to combine the theories of communication and semiotics within the context of the competency development of library professionals.

Music Genre Recognition Based on Hybrid Feature Vector with Machine Learning Methods

Music genre recognition is one of the main problems in infotainment tools and music streaming service providers for different tasks such as music selection, classification, recommendation, and personal list creation. Automatic genre recognition systems can be useful for different music-based systems, especially different music platforms. Therefore, this study aimed to classify music genres using machine learning. In this context, GTZAN dataset consisting of 10 classes was used. In this dataset, data augmentation was applied by segmentation. Each record of 30 seconds was divided into 10 parts, increasing the number of samples in the dataset by a factor of 10. Then, features were extracted from the audio signals. The resulting features are chroma, harmony, mel frequency cepstral coefficients, perceptr, root mean square, roll-off, spectral centroid, tempo, and zero crossing rate. The types, variances, and averages of the obtained features were used. Thus, 57 features were obtained. This feature set was pre-processed by delimiting the decimal part, standardization, and label encoding. In the last step, classification was made with different machine learning methods and the results were compared. As a result of hyperparameter optimization in the Extra Tree model, 92.3% performance was achieved. Precision recall and f-score values are 92.4%, 92.3%, and 92.3%, respectively. As a result, an efficient and high-performance model in music genre recognition was created.

IMPLEMENTASI MANAJEMEN BANDWIDTH MENGGUNAKAN METODE PEER CONNECTION QUEUE PADA MIKROTIK

A hotspot consists of one or more WLAN or Wireless LAN Access Points of standard 802.11a/b/g that provide a restricted area in which users can freely join Access Points with WLAN-enabled mobile devices. With advances in technology, a router is a device that is used to perform the routing process. However, since routers are expensive, there are hardware alternatives such as Mikrotik. Mikrotik RouterOS is an operating system that can turn a computer into a router, or often called a PC Router. solutions to take advantage of bandwidth management and use Mikrotik router boards as a tool to divide bandwidth evenly. Because excessive use will cause a long load when accessing the internet or limited bandwidth. To distribute the load and manage the client connection path to a service on the server, the PCQ (Peer Connection Queue) method is used. The way to do PCQ is to upload with type pcq-dpwnload-phd, set the queue size and total queue size, and check the classification list for different addresses. In addition, to implement bandwidth management with PCQ for uploads, you must create the type pcq-upload-pd, set the queue size and total queue size, and check the classifier list for the source address. For setting upload and download targets on the proxy, you must point to the network address 192.168.100.0/24, with a maximum upload speed of 10 MBPS and 30 MBPS download. The results of this study indicate that the use of a PCQ-based proxy network can be applied properly for Pizza Hut delivery in Batam City.

Working capital management and firm performance: evidence from emerging African markets

PurposeThe paper aims to investigate the empirical impact of working capital management (WCM) on firm performance (FP) in the emerging markets of Africa. This paper also aims to investigate this relationship during the global financial crisis of 2008 (GFC, 2008).Design/methodology/approachThe sample of this study comprises two leading emerging markets in Africa (Egypt and South Africa) based on the MSCI world market classification list for the period 2007–2020. The study employs various regression techniques such as fixed effect and system generalized method of moments. In addition to baseline regressions, the authors applied various preliminary tests and, finally robustness measures. Besides the dependent, independent variables, the study uses firm-level and country macroeconomic-level explanatory variables.FindingsThe study's results indicate that (1) WCM and FP exhibit a direct relationship and (2) the WCM components such as cash conversion cycle, average collection period and the average age of inventory, have a significant inverse relationship, whereas the average payment period has a direct relationship with FP. The robustness results are assessed based on the selection of an alternative proxy for FP measurement, controlling for industry, country, year effect and the exclusion of the GFC 2008.Practical implicationsThis study has various implications in terms of theoretical, societal and practical application for practitioners, managers, investors and regulators. In terms of theoretical implications, this is the first study that contributes to the existing body of knowledge in corporate finance and managerial accounting in relation to the examination of this relationship in the African region. Finally, practitioners, including regulators, can benefit from the study's findings while devising investment policies for investors in the region. More specifically, the financial sector conduct authority (FSCA) in South Africa and the financial regulatory authority (FRA) in Egypt can consider these findings to devise financial policies that aim to foster the FP.Social implicationsSociety benefits from the study's findings too. The efficient management of the WCM components will raise firm profits and investment opportunities for the society in Egypt and South Africa. A firm with good performance levels will increase salaries and will provide compensation to their employees in terms of bonuses. These compensations are one of the sources for achieving FP, which is evident from existing literature as well in the case of corporate governance studies. These compensations have psychological impacts as well. As society has its basic needs and goods, compensation levels will be tilted less toward societal ethical issues.Originality/valueThis study has various distinguishing features, which prior studies mostly lack, as most of these studies are on an individual country dataset, shorter periods, mixed results, lesser explanatory variables and no country-related control variables. The authors addressed all these challenges and provided robust results based on various measurement alternatives for the African markets. The study's results confirm a direct relationship between WCM and FP for South Africa and Egypt reflecting the emerging markets in Africa.

Near infrared spectroscopy and multivariate statistical analysis as rapid tools for the geographical origin assessment of Italian hazelnuts

The geographical origin assessment of Italian hazelnuts is nowadays a relevant topic, aimed at the protection of provenience certificates. Near Infrared (NIR) spectroscopy could be a functional candidate for preventing and fighting illegal activities related to this matrix. The present study focuses on the exploitability of the NIR technique on the ‘hazelnut chain’ (fresh, roasted and paste), against the false origin declaration frauds, mainly concerning some of the best Italian varieties (‘Nocciola Piemonte’, ‘Tonda Gentile Romana’, ‘Mortarella’). 216 spectra were recorded, for a total of n = 144 for the training set, and n = 72 for the validation set, considering fresh (n = 57), roasted (n = 107), and paste (n = 52) hazelnuts as different matrices. The training set sample selection was made according to a Design of Experiment (DoE), that considered diverse factors, such as harvesting year, storage shelf life, and presence of peel. The validation set was composed of blended samples generated by mixing Italian and non-Italian ones, and real samples bought from local markets. Multivariate Statistical Analysis was employed for data handling and elaboration, both unsupervised and supervised models, Principal Component Analysis, and Partial Least Square-Discriminant Analysis were built to simplify, observe, and classify the samples. A variables selection was performed by filtering the most important ones considering the Variable Importance in Projection (VIP) scores. The predictive ability of the technology was evaluated by applying Classification List and Confusion Matrix approaches to a prediction set, providing a fit of the observations of this set into the selected supervised model. The outcomes highlight valuable discrimination between authentic samples (related to two different harvesting year campaigns) with classification accuracy rates between 89 % and 100 %. Promising results about the application on blended and real samples were also obtained, especially as regards fresh and roasted hazelnuts, which presented classification accuracy rates of 81 % and 91 %. Therefore, this analytical technique could play a strategic role in the geographical origin assessment considering it is a rapid, direct, non-destructive, and cost-effective approach.

Stories of the Port: Response to Isabel Hofmeyr, Dockside Reading: Hydrocolonialism and the Custom House

Isabel Hofmeyr’s latest book begins with stories around and about the colonial port, though the initial spotlight is on decidedly nonnarrative texts such as classification lists of cargo items, customs handbooks, and what she intriguingly calls the “book-as-form,” namely diaries and registers. These, she says, “offered one unwitting model of colonial writing in which a template from the metropolis was filled with local scribblings” (12). The port is, by definition, a liminal, watery, zone, with uncertain borders between land and sea, but which often acts as the site of border policing that regulates entry into and out of the colony and nation-state. It is a powerfully evocative place around which to set Hofmeyr’s ambitious and wide-ranging book, and the port’s polysemous implications allow her to intervene across a series of disparate fields: climate humanities, postcolonial studies, object-oriented ontology, South African literary histories, and studies of custom and copyright. It is a masterly and original revisioning of what it means to do book history, offering a radically new method of reading. Even more importantly, it proposes a new definition of the book as object: as customs cargo, as charismatic “thing” that creates literary canonicity far from the metropole, and as an epidemiological vector of “contamination” in the mind of the colonial customs official on the alert for seditious or obscene texts, among other suggestive meanings.

Classifying mental disorders through clinicians' subjective approach based on three-way decisions.

The most widely used technique for psychiatric diagnosis is a contemporary manual-based procedure based on prevailing culture-bound data for the classification of mental disorders. However, it has several inherent faults, including the misdiagnosis of complex patient phenomena and others. A potential mental patient from a minority culture could present with atypical symptoms that would be missed by the standard approach. Using the three-way decisions (3WD) as a framework, we propose a unified model that represents the subjective approach (CSA) of clinicians (psychiatrists and psychologists) consisting of three components: qualitative analysis, quantitative analysis, and evaluation-based analysis. The results of the qualitative and quantitative investigation are a classification list and a set of numerical weights based on malady severity levels according to the clinician's highest level of assumptions. Moreover, we construct a comparative classification of diseases into three categories with varying levels of importance; a three-way evaluation-based model is utilized in this study in order to better comprehend and communicate these results. This proposed method enables clinicians to consider identical data-driven individual behavioral symptoms of patients to be integrated with the current manual-based process as a complementary diagnostic instrument to improve the accuracy of mental disorder diagnosis.

Scientific basis for the development of structural and technological devices made of modern domestic materials to ensure the functional reliability and safe operation of surface water intakes

The article provides a classification list of a large number of heuristic techniques for solving various problems of designing a class of hydraulic structures, taking into account the conditions of functional operation of soft floating structures (MNCs) as water intake structures. The concept of rational use of surface water resources provides for an ecosystem approach that allows us to consider a water body together with the catchment area of the hydrographic river network, the surface layers of the atmosphere above it, measures taken to select the calculated water flow rate (Q m3/s), taking into account the consideration of environmental safety in the zones of influence of water intake - as a single system in as a whole. Providing EC in VTK puts forward a number of main tasks to improve existing structural and technological devices and create new ones using modern domestic materials, for example, high-strength synthetic fabric materials. When creating environmentally acceptable design solutions to provide EC in the zones of influence of VTK, one of the most promising areas at present is the methodological basis for the synthesis of soft-coated structures in the composition of VTK. The reliable functioning of both a separate structural element and the structure as a whole should be conditioned by the possibility of periodic updating of its constituent structural elements.

Development of Prediction Models for Acute Myocardial Infarction at Prehospital Stage with Machine Learning Based on a Nationwide Database.

Models for predicting acute myocardial infarction (AMI) at the prehospital stage were developed and their efficacy compared, based on variables identified from a nationwide systematic emergency medical service (EMS) registry using conventional statistical methods and machine learning algorithms. Patients in the EMS cardiovascular registry aged &gt;15 years who were transferred from the public EMS to emergency departments in Korea from January 2016 to December 2018 were enrolled. Two datasets were constructed according to the hierarchical structure of the registry. A total of 184,577 patients (Dataset 1) were included in the final analysis. Among them, 72,439 patients (Dataset 2) were suspected to have AMI at prehospital stage. Between the models derived using the conventional logistic regression method, the B-type model incorporated AMI-specific variables from the A-type model and exhibited a superior discriminative ability (p = 0.02). The models that used extreme gradient boosting and a multilayer perceptron yielded a higher predictive performance than the conventional logistic regression-based models for analyses that used both datasets. Each machine learning algorithm yielded different classification lists of the 10 most important features. Therefore, prediction models that use nationwide prehospital data and are developed with appropriate structures can improve the identification of patients who require timely AMI management.

Methylation Profiling in Diffuse Gliomas: Diagnostic Value and Considerations.

Diffuse gliomas cause significant morbidity across all age groups, despite decades of intensive research efforts. Here, we review the differences in diffuse gliomas in adults and children, as well as the World Health Organisation (WHO) 2021 classification of these tumours. We explain how DNA methylation-based classification works and list the methylation-based tumour types and subclasses for adult and paediatric diffuse gliomas. The benefits and utility of methylation-based classification in diffuse gliomas demonstrated to date are described. This entails the identification of novel tumour types/subclasses, patient stratification and targeted treatment/clinical management, and alterations in the clinical diagnosis in favour of the methylation-based over the histopathological diagnosis. Finally, we address several considerations regarding the use of DNA methylation profiling as a diagnostic tool, e.g., the threshold of the classifier, the calibrated score, tumour cell content and intratumour heterogeneity.

The knowledge and practices of caregivers regarding the administration of oral liquid medication to children at a healthcare clinic in Bloemfontein, South Africa

Background. Children are dependent on their caregivers to accurately administer medication to them.Objectives. To determine the knowledge and practices of primary caregivers regarding their methods of oral liquid medication administration, preferred measuring utensils, accuracy of preferred measuring utensils and different medication classifications that they collected. The study was conducted at Pelonomi Polyclinic Pharmacy, Bloemfontein, South Africa.Methods. A quantitative, cross-sectional descriptive study (with analytical aspects) was conducted, which used consecutive, convenient sampling. The pharmacy staff assisted in recruiting participants, after which a screening form was used to determine their eligibility. Participants were provided with an information document and consent form. The liquid medication was classified according to a drug classification list, and one medication was selected for the focus of the structured interview. The questionnaire was completed using REDCap. Thereafter, researchers used the information on the medication label to determine the accuracy of the caregiver’s answers.Results. The majority of the 89 participants (56.2%) answered all 3 administration-related questions correctly, with 84.3% answering the questions regarding quantity and frequency correctly. The medication measure (43.8%) was the preferred measuring utensil for any liquid medication at home, and the syringe (53.9%) for the selected liquid medication used in the interview, both accurate measuring utensils. Most children (56.2%) were prescribed ‘other medication’ (e.g. vitamins and mineral supplements), followed by analgesics (47.2%) and antibiotics (42.7%).Conclusion. Primary caregivers at Pelonomi Polyclinic Pharmacy know how to administer oral liquid medication to children accurately. Most caregivers indicated that they use accurate measuring utensils

Development of a Semiautomated Database for Patients With Adult Congenital Heart Disease.

Databases for Congenital Heart Disease (CHD) are effective in delivering accessible datasets ready for statistical inference. Data collection hitherto has, however, been labour and time intensive and has required substantial financial support to ensure sustainability. We propose here creation and piloting of a semiautomated technique for data extraction from clinic letters to populate a clinical database. PDF formatted clinic letters stored in a local folder, through a series of algorithms, underwent data extraction, preprocessing, and analysis. Specific patient information (diagnoses, diagnostic complexity, interventions, arrhythmia, medications, and demographic data) was processed into text files and structured data tables, used to populate a database. A specific data validation schema was predefined to verify and accommodate the information populating the database. Unsupervised learning in the form of a dimensionality reduction technique was used to project data into 2 dimensions and visualize their intrinsic structure in relation to the diagnosis, medication, intervention, and European Society of Cardiology classification lists of disease complexity. Ninety-three randomly selected letters were reviewed manually for accuracy. There were 1409 consecutive outpatient clinic letters used to populate the Scottish Adult Congenital Cardiac Database. Mean patient age was 35.4 years; 47.6% female; with 698 (49.5%) having moderately complex, 369 (26.1%) greatly complex, and 284 (20.1%) mildly complex lesions. Individual diagnoses were successfully extracted in 96.95%, and demographic data were extracted in 100% of letters. Data extraction, database upload, data analysis and visualization took 571 seconds (9.51 minutes). Manual data extraction in the categories of diagnoses, intervention, and medications yielded accuracy of the computer algorithm in 94%, 93%, and 93%, respectively. Semiautomated data extraction from clinic letters into a database can be achieved successfully with a high degree of accuracy and efficiency.

Standard homogeneous (α1,α2)${\big(\alpha _1,\alpha _2\big)}$‐metrics and geodesic orbit property

AbstractIn this paper, we introduce the notion of standard homogeneous ‐metric, as a generalization for the normal homogeneity in Finsler geometry with relatively good computability. We explore the geodesic orbit (g.o. in short) property of this metric. Especially, when it is associated with a triple of compact Lie groups, we find new examples of g.o. Finsler spaces from H. Tamaru's classification list. Meanwhile, we prove that all standard g.o. ‐metrics on the Wallach spaces, , and , must be the normal homogeneous Riemannian metrics.

Classification of non-antineoplastic intravenously administered drugs according to their toxicity risk: the path towards safe drug administration

ObjectiveExtravasation is a potential complication resulting from parenteral administration of drugs. The purpose of this study was to characterise the physicochemical properties of non-antineoplastic parenterally administered drugs and determine their...

Cut foliage: potentiality of native Argentine ferns as new ornamental crops

Abstract The cut foliage constitutes an important part of the floricultural production since it represents a fundamental element in flower arrangements, and ferns are the complementary elements most used by florists. In Argentina, there is native material that has not been yet domesticated and could have suitable characteristics for foliage use. The objective of the work was to determine the potential use of 15 native ferns as cut foliage through quality parameters and vase life, generating a scoring system that allows a classification list. Morphological descriptors such as petiole length, length and width of the blade, planes in which the fronds are arranged, brightness, consistency, abundance of spores and presence of pests were taken into account. Also, the production of fronds of six selected species with good scores was recorded. The results showed that it is feasible to consider the commercial production of Pityrogramma calomelanos, Niphidium crassifolium, Campyloneurum nitidum, Blechnum austrobrasilianum and Pteris denticulata by the quantity of fronds obtained and their quality, represented by their size. Campyloneurum nitidum excelled for its vase life of more than 26 days and frond production of 273.61 fronds m-2 at second year cultivation. Pteris denticulata produces 179.44 fronds m-2 but vase life was only 7 days.