Miracle-dz/UniFAR-FTUs huggingface dataset:
A model reference adaptive PWM technique

A model reference adaptive pulse-width-modulation (PWM) technique is presented and analyzed. With this technique, the near optimal inverter gating signals are determined through a closed-loop process which compares a reference signal to a feedback signal derived from a built-in reference model of the load. In addition to its simplicity of implementation, the technique has the advantages of inherent controlled constant volts per hertz (V/f) radio operation and filter-free operation with free-running carrier. Such features are of importance in variable-speed AC drive applications where V/f control increases the control circuit complexity and carrier frequency jumps cause harmful torque/speed transients. <<ETX>>
Towards An Extension Of RBAC Model

SystemsRole-based access control (RBAC) has been widely used in information systems including so-called critical systems. Access control models describe the frameworks that dictate permissions. The RBAC model is generally static, ie. , access control decisions are: grant or deny. This model is effective in normal situations. In other situations, such as exceptions or emergencies, flexible access control is required. In order to increase the flexibility of access control, the concept of obligation has been proposed. Obligations are requirements to be fulfilled in order to execute permission decisions. The purpose of this article is to produce a flexible model which uses obligations to manage exception situations. Our model increases the flexibility of the RBAC model. It allows to assign permissions dynamically.For illustration, Anderson's clinical information system is used. Finally, Alloy is used to analyze the validity of the proposed model.
Influence of plant growth regulators and salicylic acid on the production of some secondary metabolites in callus and cell suspension culture of Satureja sahendica Bornm.

The impact of combinations of plant growth regulators (PGRs) on callus culture of Satureja sahendica Bornm. was investigated. In nodal explants, the response of secondary metabolite production to different concentrations of PGRs was analyzed regarding the presence and absence of polyvinylpyrrolidone (PVP). The explants were cultured on MS media in presence of auxins (2,4-dichlorophenoxyacetic acid and naphthylacetic acid) and cytokinins (thidiazuron and kinetin); which were used in equal concentrations of 0.5, 1, and 2 mg l-1. The treatment of 2 mg l-1 2,4-D + 2 mg l-1 Kin (MD3) led to the highest production of total phenolics (4.303 ± 0.449 mg GAE g-1) and flavonoids (24.903 ± 7.016 mg QE g-1). Moreover, the effect of salicylic acid (SA) on the production of secondary metabolites in cell suspension culture of Satureja sahendica was evaluated. The cell suspension culture was established by culturing the nodal-derived friable callus in the liquid medium containing different concentrations of SA (0, 100, 150, 200 µM). An inverse relationship exists between the fresh mass and secondary metabolites contents. In addition, there was a significant difference among concentrations of SA in the production of total phenolics and flavonoid compounds. SA enhances secondary metabolites production and decreases cell fresh mass.
Spatial Hazard Rate Modelling Using Hierarchical Bayes Methods

Abstract Risk mitigation and accident prevention within a spatially distributed system require a good handle on the spatial distribution of accident rates and fatality rates. This is helpful in optimising and prioritising decisions with respect to the design, maintenance and risk management of new and existing infrastructure. Hierarchical Bayes methods of analysis are used (i) to correlate accident fatalities and damages to site-specific indicators (in the case of a road network they include traffic density, speed limit and other indicators); and (ii) to perform a spatial analysis of hazard rates. The (unknown) random field of accident fatality rates is estimated and/or other accident- related hazard rates based on detailed accident reports of events spread randomly throughout the system are considered. To demonstrate the method of analysis, accident data from the national road and traffic data bank for the southern region of Norway are matched to an existing geographical database containing spatial information regarding possible causal factors.
The Performance Evaluation System Transformation Based on Balanced Scorecard—A Case Study of SEICO Company

Application of Balanced Scorecard (BSC) is not so successful in China in the past few years. This paper is to represent how the company Sichuan Ertan Industrial Corporation (SEICO), design performance evaluation system to improve its efficiency and effectiveness and satisfy customers’ needs with the help of BSC principles and methodology. It is found from this case study that the key steps to design performance evaluation system are to: (1) link strategy and performance measurements at company-level; (2) decompose them into all the members in all the units at all the levels of that company; and (3) tie them to an incentive plan. Those steps have not been detailed in publications by Kaplan and Norton.
Image analysis of real-time classification of cherry fruit from colour features

An image analysis algorithm for the classification of cherries in real time by processing their digitalized colour images was developed, and tested. A set of five digitalized images of colour pattern, corresponding to five colour classes defined for commercial cherries, was characterized. The algorithm performs the segmentation of the cheery image by rejecting the pixels of the background and keeping the image features corresponding to the coloured area of the fruit. A histogram analysis was carried out for the RGB and HSV colour spaces, where the Red and Hue components showed differences between each of the specified colour patterns of the exporting reference system. This information led to the development of a hybrid Bayesian classification algorithm based on the components R and H. Its accuracy was tested with a set of cherry samples within the colour range of interest. The algorithm was implemented by means of a real time C++ code in Microsoft Visual Studio environment. When testing, the algorithm showed a 100% effectiveness in classifying a sample set of cherries into the five standardized cherry classes. The components of the hardware-software system for implementing the methodology are low cost, thus ensuring an affordable commercial deployment.
Aspects of a Sustainable Community Development Framework

This paper introduces a research on a user centric and participatory approach to sustainable community development (SCD). The research is structured into three aspects i) requirements engineering, ii) crowd sourcing and iii) human computer interaction. These three aspects act as containers for industrial case studies from Capgemini, the industrial sponsoring company of this research. The three aspects will inform the development of a suite of tool-kits that will provide the core functions of a new SCD framework. An important feature of the research will therefore be the ability to derive generic sustainable development tools from consultant enterprise architecture case studies. In this paper, an approach to developing generic tools that are specific to an aspect of the research will be tested by proposing the first of these three transformations; applying the methodology from a decision support system (DSS) case study for a desktop computing transformation assessment to a user centric DSS for a micro renewable energy supply tool. This new requirements engineering tool will form the SCD framework, it is intended to help users decide which micro renewable technology best fits their requirements.
Perioperative Outcomes in COVID-19 Obstetric Patients Undergoing Spinal Anesthesia for Cesarean Section: A Prospective Observational Study

Coronavirus disease 2019 (COVID-19) adds more challenges to the perioperative management of parturients. The aim of this study is to examine perioperative adverse events and hemodynamic stability among COVID-19 positive parturients undergoing spinal anesthesia. This prospective observational investigation was conducted at a tertiary teaching hospital in Jordan between January and June 2021, during which 31 COVID-19 positive parturients were identified. Each COVID-19 positive parturient was matched with a COVID-19 negative parturient who received anesthesia under similar operating conditions as a control group. Of the 31 COVID-19 patients, 22 (71%) were otherwise medically free, 8 (25.8%) were emergency cesarean sections. The sensory level of spinal block after 10 min was T8 (T6–T10) among COVID-19 positive group, compared to T4 (T4–T6) among control group (p = 0.001). There were no significant differences in heart rate, SBP, DBP, and MAP intraoperatively (p > 0.05). Twelve (36.4%) neonates born to COVID-19 positive patients were admitted to NICU, compared to four (11.8%) among control group (p = 0.018). There was no statistically significant difference in postoperative complications. In conclusion, spinal anesthesia is considered a safe anesthetic technique in COVID-19 parturients, and therefore it is the anesthetic method of choice for cesarean deliveries among COVID-19 patients.
Severe Hypertriglyceridaemia Leading to Factitious Hypobicarbonataemia

Anion gap metabolic acidosis is a laboratory finding commonly encountered in patients with sepsis, diabetic ketoacidosis, acute kidney injury and toxic alcohol ingestion. Serum blood chemistry assessment detects this abnormality. However, this can be falsely low in situations of high triglyceride levels due to lipid interference with measurement of the bicarbonate levels and through volume displacement by these large molecules. Arterial blood gas analysis and a lipid panel are required to confirm accurate bicarbonate levels. Clinicians handling acid-base disorders in hospitalized patients need to be aware of this spurious laboratory value to avoid unnecessary tests and to determine accurate total bicarbonate levels. LEARNING POINTS Elevated triglycerides can cause spurious low blood bicarbonate levels. High anion gap metabolic acidosis is associated with serious clinical illness which can lead to a battery of diagnoses and therapeutics. Accurate knowledge of this condition with falsely low bicarbonate levels will prevent unnecessary medical work-up and guide prompt treatment.
A Reference Section Through Fast‐Spread Lower Oceanic Crust, Wadi Gideah, Samail Ophiolite (Sultanate of Oman): Petrography and Petrology

In the absence of a complete profile through fast‐spreading modern oceanic crust, we established a reference profile through the whole paleo crust of the Samail ophiolite (Sultanate of Oman), which is regarded as the best analogue for fast‐spreading oceanic crust on land. To establish a coherent data set, we sampled the Wadi Gideah in the Wadi‐Tayin massif from the mantle section up to the sheeted dikes and performed different analytical and structural investigations on the same suite of samples. This paper reports our studies of the lower crust, a 5 km thick pile of gabbros, focusing on petrographic features and on the results of mineral analyses. Depth profiles of mineral compositions combined with petrological modeling reveal insights into the mode of magmatic formation of fast‐spreading lower oceanic crust, implying a hybrid accretion mechanism. The lower two thirds of the crust, mainly consisting of layered gabbros, formed via the injection of melt sills and in situ crystallization. Here, upward moving fractionated melts mixed with more primitive melts through melt replenishments, resulting in a slight but distinct upward differentiation trend. The upper third of the gabbroic crust is significantly more differentiated, in accord with a model of downward differentiation of a primitive parental melt originated from the axial melt lens located at the top of the gabbroic crust. Our hybrid model for crustal accretion requires a system to cool the deep crust, which was established by hydrothermal fault zones, initially formed on‐axis at very high temperatures.
Validation of Pre-/Post-TACE-Predict Models among Patients with Hepatocellular Carcinoma Receiving Transarterial Chemoembolization

Simple Summary Transarterial chemoembolization (TACE) is used to treat patients with intermediate stage hepatocellular carcinoma (HCC). However, models to accurately predict survival are lacking. The aim of our retrospective study was to attempt to validate the prognostic performance of the newly proposed Pre- and Post-TACE-Predict models with Korean patients. In our study of 187 patients with HCC who underwent TACE, there was no significant difference between the Pre- and Post-TACE prediction models in HCC patients. Additionally, simple scoring prognosis prediction models performed similarly to or better than the Pre- and Post-TACE-Predict models in our study. Thus, simple scoring prognosis prediction models such as modified hepatoma arterial embolization prognostic (mHAP)-II and SNACOR may be useful in assessing the TACE treatment survival over the Pre- and Post-TACE-Predict models in patients with HCC. Abstract This study attempted to validate the prognostic performance of the proposed Pre- and Post-TACE (transarterial chemoembolization)-Predict models, in comparison with other models for prognostication. One-hundred-and-eighty-seven patients with HCC who underwent TACE were recruited. Regarding overall survival (OS), the predictive performance of the Pre-TACE-Predict model (one-year integrated area under the curve (iAUC) 0.685 (95% confidence interval (CI) 0.593–0.772)) was better than that of the Post-TACE-Predict model (iAUC 0.659 (95% CI 0.580–0.742)). However, there was no significant statistical difference between two models at any time point. For comparison between models using pre-treatment factors, the modified hepatoma arterial embolization prognostic (mHAP)-II model demonstrated significantly better predictive performance at one year (iAUC 0.767 (95% CI 0.683–0.847)) compared with Pre-TACE-Predict. For comparison between models using first TACE response, the SNACOR model was significantly more predictive at one year (iAUC 0.778 (95% CI 0.687–0.866) vs. 0.659 (95% CI 0.580–0.742), respectively) and three years (iAUC 0.707 (95% CI 0.646–0.770) vs. 0.624 (95% CI 0.564–0.688), respectively) than the Post-TACE-Predict model. mHAP-II and SNACOR may be preferred over the Pre- and Post-TACE-Predict models, respectively, considering their similar or better performance and the ease of application.
Experiences of Unemployed Black People Living with Disabilities in Soshanguve Township, South Africa - An Exploratory Study

The promise of a better life for all made by the South African government in 1994 remains unfulfilled, as many South Africans are still living in the margins of the economy where unemployment and poverty are rampant. People living with disabilities (PLWDs) are the worst affected, as they are poor with no access to jobs and housing. Despite the enactment of the Employment Equity Act (EEA) Number 55 of 1988, employment opportunities for black PLWDs are scarce in South Africa. This is due to, among other reasons, the fact that employers are reluctant to employ disabled people. This narrative study examined the experiences of black people living with disabilities (PLWDs) in Soshanguve Township, Tshwane, South Africa. It employed the symbolic interactionist (SI) theory as a lens to gain insights into the experiences of black women and men living with disabilities in their quest to access employment opportunities. The study was exploratory qualitative in nature and employed the case study design approach. Data were collected using a purposive sample of 15 black men and women living with disabilities in the Soshanguwe Township with whom in-depth interviews were conducted. This was complemented by focus group interviews with 13 purposively selected respondents who met the selection criteria. Findings were that people living with disabilities (PLWDs) were discriminated against and marginalised in employment and the workplace before and after post–apartheid South Africa. This situation leaves them inactive, economically disadvantaged and poor. The study expands knowledge on the experiences of black men and women who live with disabilities, thereby contributing towards the design of public policies and other social security interventions meant to alleviate the plight of marginalised communities in general and people living with disabilities.
Online Detection and Prevention of Phishing Attacks (Invited Paper)

isanewtypeofnetwork attack wherethe attacker creates areplica ofanexisting Web pagetofool users (e.g., byusingspecially designed e-mails orinstant messages) intosubmitting personal, financial, orpassword datatowhat theythinkistheir service provides' Web site. Inthis paper, we propose a newend-host basedanti-phishing algorithm, which we callLinkGuard, byutilizing thegeneric characteristics of thehyperlinks inphishing attacks. Thesecharacteristics are derived byanalyzing thephishing dataarchive provided bythe Anti-Phishing WorkingGroup(APWG). Because itisbasedon thegeneric characteristics ofphishing attacks, LinkGuard can detect notonlyknownbutalsounknownphishing attacks. We haveimplemented LinkGuard inWindowsXP.Ourexperiments verified thatLinkGuard iseffective todetect andprevent both knownandunknownphishing attacks withminimal false negatives. LinkGuard successfully detects 195outofthe203phishing attacks. Ourexperiments alsoshowedthatLinkGuard islightweighted andcandetect andprevent phishing attacks inrealtime. IndexTerms-Networksecurity, Phishing attacks, Hyperlink, LinkGuard algorithm. I.INTRODUCTION Theword'Phishing' initially emerged in1990s. Theearly hackers often use'ph' toreplace 'f'toproduce newwordsin thehacker's community, since theyusually hackbyphones. Phishing isanewwordproduced from'fishing', itrefers to theactthattheattacker allure users tovisit a faked Web site bysending themfaked e-mails (orinstant messages), and stealthily getvictim's personal information suchasusername, password, andnational security ID,etc.Theseinformation thencanbeusedforfuture target advertisements oreven identity theft attacks (e.g., transfer moneyfromvictims' bank account).
Public art debates as boundary struggles

ABSTRACT This article investigates the symbolic boundaries that are at play in controversies over public art projects and the criteria different groups of actors, (e.g. artists, art experts, bureaucrats, and local communities), use when evaluating public art. This investigation shed light on how art, artistic autonomy, and public spaces are subject to ”boundary struggles” in which the identities and worth of different social groups and the value of art in society are negotiated. Based on case studies of two public art projects that were rejected before their completion, – and by tracing the media coverage of the public debates these cases generated, – this analysis reveals that the ways art is understood vary considerably between representatives of the artistic field and those outside of it. It is argued that insights into such struggles can inform cultural policy in the narrow and wide sense. It is valuable to gain insight into how ‘ordinary people’ value and draw boundaries around art, as cultural policy research has primarily attended to the perspectives of public authorities and professional actors in the artistic field.
Intraspecific Variation in Molar Topography of the Early Eocene Stem Primate Microsyops Latidens (Mammalia, ?Primates)

ABSTRACT Variation in postcanine teeth is relevant to answering questions about both taxonomy and diet. In such contexts, understanding the patterns and the amounts of variation present in a single species is fundamentally important. Here we use dental topographic analysis (DTA) to study variation in functional aspects of the lower second molar (n = 51) and lower fourth premolar (n = 41) in a large, stratigraphically controlled sample of the early Eocene stem primate Microsyops latidens, which permits study of fine scale variation through time in a single species, during a period of notable climatic change. To contextualize variation in M. latidens, we used DTA to study extant euarchontan taxa, representing three orders and seven families (n = 96). Previous study of M. latidens suggested that it was highly variable in size and lower molar morphology, potentially giving rise to later species of microsyopids. However, comparison with extant taxa suggests that the dental form of M. latidens shows low levels of intraspecific variation. The dental topography of M. latidens also does not reflect the previously postulated taxonomic split. Our results suggest instead that M. latidens likely did not undergo change in dental topography consistent with a shift in either dietary adaptive niche or ecospace. Taken together, our results suggest low levels of variation in dental form and potentially diet of M. latidens, indicating that this taxon likely remained within a single adaptive zone.
Fitting limit lines (envelope curves) to spreads of geoenvironmental data

Geoscientists frequently are interested in defining the overall trend in x-y data clouds using techniques such as least-squares regression. Yet often the sample data exhibits considerable spread of y-values for given x-values, which is itself of interest. In some cases, the data may exhibit a distinct visual upper (or lower) ‘limit’ to a broad spread of y-values for a given x-value, defined by a marked reduction in concentration of y-values. As a function of x-value, the locus of this ‘limit’ defines a ‘limit line’, with no (or few) points lying above (or below) it. Despite numerous examples of such situations in geoscience, there has been little consideration within the general geoenvironmental literature of methods used to define limit lines (sometimes termed ‘envelope curves’ when they enclose all data of interest). In this work, methods to fit limit lines are reviewed. Many commonly applied methods are ad-hoc and statistically not well founded, often because the data sample available is small and noisy. Other methods are considered which correspond to specific statistical models offering more objective and reproducible estimation. The strengths and weaknesses of methods are considered by application to real geoscience data sets. Wider adoption of statistical models would enhance confidence in the utility of fitted limits and promote statistical developments in limit fitting methodologies which are likely to be transformative in the interpretation of limits. Supplements, a spreadsheet and references to software are provided for ready application by geoscientists.