Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancing the Statistical Hybrid Model Performance in Overhead and Underground Medium Voltage Broadband over Power Lines Channels by Adopting Empirical Channel Attenuation Statistical Distribution

Statistical hybrid model is a statistical channel model suitable for the broadband over power lines (BPL) networks while it is based on the statistical processing of channel attenuation and capacity values of preassumed BPL topology classes. One of the key operation elements of the statistical hybrid model, which affects its results fidelity, is the selection of the appropriate channel attenuation statistical distribution among a set of well-known channel attenuation statistical distributions (i.e., such as Gaussian, Lognormal, Wald, Weibull and Gumbel distributions). The selection of the appropriate channel attenuation statistical distribution becomes a hard task since it depends on a number of factors such as the power grid type –either overhead (OV) or underground (UN) power grid–, the representative distribution BPL topology of the examined class, the applied electromagnetic interference (EMI) policies and the used coupling scheme type. The contribution of this paper is to identify the conditions whether the Empirical channel attenuation statistical distribution can act as the default distribution of statistical hybrid model (modified statistical hybrid model) thus replacing the required comparison analysis prior to the selection of the aforementioned distributions of the initial statistical hybrid model. The evaluation comparison is based on the already applied metrics of capacity percentage change and average absolute capacity percentage change. Citation: Lazaropoulos, A. G. (2019). Enhancing the Statistical Hybrid Model Performance in Overhead and Underground Medium Voltage Broadband over Power Lines Channels by Adopting Empirical Channel Attenuation Statistical Distribution. Trends in Renewable Energy, 5, 181-217. DOI: 10.17737/tre.2019. 5.2. 0096
An Effective Feature Selection Scheme for Android ICC-Based Malware Detection Using the Gap of the Appearance Ratio

SUMMARY Android malwares are rapidly becoming a potential threat to users. Among several Android malware detection schemes, the scheme using Inter-Component Communication (ICC) is gathering attention. That scheme extracts numerous ICC-related features to detect malwares by machine learning. In order to mitigate the degradation of detection performance caused by redundant features, Correlation-based Feature Selection (CFS) is applied to feature before machine learning. CFS selects useful features for detection in accordance with the theory that a good feature subset has little correlation with mutual features. However, CFS may remove useful ICC-related features because of strong correlation between them. In this paper, we propose an e ﬀ ective feature selection scheme for Android ICC-based malware detection using the gap of the appearance ratio. We argue that the features frequently appearing in either benign apps or malwares are useful for malware detection, even if they are strongly correlated with each other. To select useful features based on our argument, we introduce the proportion of the appearance ratio of a feature between benign apps and malwares. Since the proportion can represent whether a feature frequently appears in either benign apps or malwares, this metric is useful for feature selection based on our argument. Unfortunately, the proportion is ine ﬀ ective when a feature appears only once in all apps. Thus, we also introduce the di ﬀ erence of the appearance ratio of a feature between benign apps and malwares. Since the di ﬀ erence simply represents the gap of the appearance ratio, we can select useful features by using this metric when such a situation occurs. By computer simulation with real dataset, we demonstrate our scheme improves detection accuracy by selecting the useful features discarded in the previous scheme.
Fatigue EEG Feature Extraction Based on Tasks With Different Physiological States for Ubiquitous Edge Computing

Mental fatigue is a gradual and cumulative phenomenon that manifests in the weakening of human physiological activities for ubiquitous edge computing in the Internet of Things. In this paper, two groups of Stroop tasks with different difficulty levels are proposed to induce fatigue, which is evaluated via electroencephalogram (EEG). Wavelet packet decomposition and sample entropy algorithm are utilized to analyze the EEG signals in both sober and fatigue state. The experiment results show that compared with the sober state, the fatigue state has a higher <inline-formula> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula> wavelet relative energy and <inline-formula> <tex-math notation="LaTeX">$\theta $ </tex-math></inline-formula> wavelet relative energy and significantly lower <inline-formula> <tex-math notation="LaTeX">$\beta $ </tex-math></inline-formula> wave relative energy (<inline-formula> <tex-math notation="LaTeX">$P < 0.05$ </tex-math></inline-formula>). The ratio of parameters <inline-formula> <tex-math notation="LaTeX">$\alpha /\beta $ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$(\alpha +\theta)/\beta $ </tex-math></inline-formula> increases with the fatigue degree, and the sample entropy of each brain region shows a decreasing trend. Compared with the more difficult task group, the change of parameters in the low-difficulty task are more obvious. Hence, the suggested parameters <inline-formula> <tex-math notation="LaTeX">$\alpha /\beta $ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$(\alpha +\theta)/\beta $ </tex-math></inline-formula> can be used as potential indicators to measure mental fatigue, and the appropriate increase in the difficulty of the tasks may be inversely related to the generation of mental fatigue to some extent.
The importance and role of anti-HCV signal/cutoff ratio in diagnosis of hepatitis C virus infection

Summary Aim: Different signal/cutoff values for different commercial kits are used to determine the samples that would predict a true antibody response for Hepatitis C Virus infection. The aim of this study is to determine a specific signal/cutoff ratio with the commercial kit that is used routinely in our laboratory that would predict a true antibody positive result 95% of the time regardless of the anti-HCV prevalance. Material and Methods: A total number of 309 anti-HCV positive samples that were tested with the architect anti-HCV assay (Abbott Laboratories, IL, USA) were reviewed retrospectively and categorized according to their signal/cutoff ratio. These samples were retested with LIA (Innogenetics N.V., Belgium). ROC-curve analysis in SPSS 17.0 statistical package programme was used for data analysis. Results: The signal/cutoff ratio 3.27 is determined as the cutoff point that predicts a true antibody positive result in 94.9% (positive predictive value 94.9 %, specificity 81.4%, sensitivity 91.2%) of the cases according to the ROC curve analysis. Conclusion: A stepwise approach is appropriate for evaluation of patients positive for anti-HCV. It is important for laboratories to determine a cutoff point to distinguish between a low and high positive Anti-HCV result. With the architect anti-HCV assay (Abbott, USA), in cases with signal/cutoff >3.27, the line immunoassay will be positive in most patients, so supplementary testing in such individuals is not needed.
Index of potential contamination for urinary schistosomiasis in five settlements near River Kubanni in Zaria

Urinary schistosomiasis caused by Schistosoma hasmatobium is a disease associated with water contact activities. Urine samples of 1,067 subjects living beside river Kubanni in Zaria (Nigeria) were screened in order to determine the prevalence of infection, intensity of infection among those infected was 77.7 eggs/10ml of urine. Prevalence in males (19.4%) was significantly higher than in females (3.11%; p 0.2). It was only in males that prevalence exhibited a variation with age (p The Nigerian Journal of Parasitology Vol. 24 2003: 95-101
FEL and JIT approaches to tracking adaptive control based on the internal inverse models

This paper aims to establish the theoretical and experimental validity of the two degrees of freedom adaptive tracking control of a nonlinear system. This architecture is based on an adaptive feedforward control via the internal inverse model of the controlled object. In this paper, we consider two different approaches to construct such a inverse model, which are the feedback error learning (FEL) methods and the just-in-time (JIT) methods. For a typical nonlinear controlled object, a two-links direct drive (DD) arm, a stability and a convergence of the adaptive control system are proven theoretically, numerically and experimentally. For the DD arm in the time delay free case, it is shown that both FEL and JIT architectures achieved superior tracking performances for a circle target. These results suggest the possibility of applying the two degrees of freedom adaptive control systems in this paper to more complicated nonlinear control systems.
KAJIAN MUTU DAN KARAKTERISTIK MINYAK SAWIT INDONESIA SERTA PRODUK FRAKSINASINYA

Telah dilakukan kajian mutu dan karakteristik fisiko kimia minyak sawit Indonesia dan produk fraksinasinya.Penentuan mutu dan karakteristik sangat perlu dilakukan untuk menentukan kualitas, keotentikan dan karakterdari masing-masing fraksi. Hasil uji mutu pada sebagian CPO Indonesia memiliki kadar asam lemak bebas,karoten dan deterioration of bleachability index (DOBI) masing-masing belum memenuhi standar SNI 01-2901-2006, Codex dan PORAM. Sedangkan mutu RBDPOlein telah memenuhi SNI 01-0018-2006. Berdasarkankomposisi asam lemak, olein super mengandung asam oleat tinggi (42,61-46,03%) sedangkan RBDPStearinmemiliki asam palmitat tinggi (57,30-66,07%). Bilangan iod olein super merupakan yang tertinggi karenamengandung asam lemak tidak jenuh tinggi dan menyebabkan titik kabut rendah (4,0-7,0oC). Titik lelehRBDPStearin merupakan yang tertinggi (48,8-57,6oC) dan olein super yang terendah (9,4-16,6oC). Bilanganpenyabunan dan kandungan lemak padat pada RBDPStearin juga merupakan yang tertinggi dibandingkan fraksilain. Dari sifat fisiko kimia tersebut menunjukkan bahwa minyak yang mengandung asam lemak tidak jenuh tinggimemiliki titik leleh, bilangan penyabunan, densitas, viskositas dan kandungan lemak padat yang rendah sertabilangan iod tinggi dan sebaliknya. Data karakteristik produk turunan minyak sawit tersebut dapat dijadikan acuandalam pengembangan standar nasional maupun internasional.
Numerical Optimization (Springer Series in Operations Research and Financial Engineering)

Optimization is an important tool used in decision science and for the analysis of physical systems used in This space but at the book requires substantial background. Numerical optimization presents a graduate text, in continuous presents. Mmor mathematical optimization in understanding of initiative. I acknowledge the necessary to use, optimization it talks extensively about algorithmic performance and thinking. The optimization they delve into, the new ideas progressing through more thoroughly updated throughout.
Back to the Future? Abortion Before & after Roe

Next year marks the 40th anniversary of the U.S. Supreme Court decision in Roe v. Wade. We use unique data on abortions performed in New York State from 1971-1975 to analyze the impact of legalized abortion in New York on abortion and birth rates of non-residents. We estimate that abortion rates declined by 12.0 percent for every hundred miles a woman lived from New York in the years before Roe. If Roe were overturned average travel distance to the nearest abortion provider would increase by 157 miles in the 31 states expected to prohibit abortion. Under this scenario abortion rates would fall by 14.9 percent nationally, resulting in at most, 178,800 additional births or 4.2 percent of the U.S. total in 2008. A ban in 17 states would result in a 6.0 percent decline in abortions and at most, 1.7 percent rise in births.
Relationship between compliance, costs, hospitalizations for CML and GIST patients using imatinib mesylate

6598 Background: Imatinib mesylate is an oral tyrosine kinase inhibitor dosed daily for treatment of chronic myeloid leukemia (CML) and gastrointestinal stromal tumor (GIST). The relationships between imatinib compliance and costs and inpatient hospitalizations (IP hosp) for CML and GIST patients (pts) were analyzed with multivariate regression. Methods: Claims data from a large national US health plan were used. Pts had ≥2 imatinib claims from 6/1/01–3/31/05; ≥1-year follow-up (F-U) after 1st imatinib claim; and diagnosis of CML (ICD9 205.1x) or GIST (ICD9 159.0, 159.8, 159.9 or evaluation of claims history and attribution of GIST by independent hematologist/oncologist). Compliance measure was medication possession ratio ((days of imatinib during F- U/days of F-U)*100). Compliance categories were: good, ≥90%; medium, 70–89.9%; poor, <70%. Comorbidity measure was Charlson Comorbidity Index (CCI). Total F-U medical and healthcare (medical + pharmacy) costs, IP hosp and length of stay (LOS) were measured. C.
Absent Patriarchs and Persuasive Enforcers of the Future Nation: A Contextualized Reading of American Wartime Fathers in Walt Disney’s Pinocchio, Dumbo and Bambi

This article discusses the portrayal of fatherhood and paternity in Walt Disney’s benchmark features Pinocchio (1940), Dumbo (1941) and Bambi (1942) through a contextualized historical and cultural analysis. The author aims to provide a coherent study of how the father figure is constructed in each of these films and why the tone of this presentation varies considerably within the short time span between the theatrical releases. The article proceeds to demonstrate how, with their prominent father characters, these features exhibit metaphorically the transitional and challenged sentiments regarding fatherhood and masculinity in early 1940s America. The immense societal crises, the Great Depression and the Second World War, destabilized prevalent gender roles and, as a response, sparked ideologically charged discourses that were pretentiously spread in contemporary mainstream film, and which sought to restore the former patriarchal order. This article intends to discover to what extent the Disney studio participated in these popular discourses or used them for its own interests. Finally, the article investigates how these films contribute to the construction and understanding of ‘reality’ of this past and the role of fathers within it.
Forecasting Cryptocurrency Prices Time Series Using Machine Learning

This paper describes the construction of the short-term forecasting model of cryptocurrencies’ prices using machine learning approach. The modified model of Binary Auto Regressive Tree (BART) is adapted from the standard models of regression trees and the data of the time series. BART combines the classic algorithm classification and regression trees (C&RT) and autoregressive models ARIMA. Using the BART model, we made a short-term forecast (from 5 to 30 days) for the 3 most capitalized cryptocurrencies: Bitcoin, Ethereum and Ripple. We found that the proposed approach was more accurate than the ARIMA-ARFIMA models in forecasting cryptocurrencies time series both in the periods of slow rising (falling) and in the periods of transition dynamics (change of trend).
Effectiveness of Training Program Related to Infection Control and Waste Management Practices in a Private Dental College, Pune − A Quasi-Experimental Study

Introduction: Healthcare workers, in general, are susceptible to contracting with infectious diseases. Thus, appropriate infection control practices are of prime importance in academic institutions, wherein under-graduate students form a major part of the oral healthcare team right from the 3rd year of the curriculum. This fact underlines the need to provide extensive training to prevent healthcare-related infections to the patient and themselves. Aim: To assess the effectiveness of training related to infection control and waste management practices among under-graduate students in a private dental institution. Materials and Methods: The present study conducted among 3rd year under-graduate dental students in Pune, 2015 assessed their knowledge, attitude, and practices related to infection control and waste management followed by an intervention in the form of training. A quasi-experimental design (before and after comparison) was employed. Complete enumeration was performed. Results: Out of the 88 students, 46 (52.27%) had good knowledge at baseline, which improved to 72 (81.81%) after the training; 80 (90.90%) had good attitude, which improved to 88 (100%); and 67 (76.13%) had good practice, which improved to 88 (100%). At the baseline, the results showed that the mean knowledge score was 3.45 ± 1.03, the mean attitude score was 2.90 ± 0.28, and the mean practice score was 7.3 ± 0.76. After the training, the results showed that the mean knowledge score was 4.5 ± 0.25, the mean attitude score was 3, and the mean practice score was 8.1 ± 0.5. Conclusion: The training was effective in improving the over-all score of the participants related to the knowledge, attitude, and practice regarding infection control and waste management. Thus, we propose to train the students on various aspects of infection control and waste management and introduce an on-going training program in the curriculum.
HYPERTENSION - PREVALENCE AND RISK FACTORS AMONG URBAN POPULATION IN NORTH KARNATAKA

Background: Hypertension, a major public health problem, is directly responsible for 57% of all stroke deaths and 24% of coronary heart disease related deaths in India. The prevalence of hypertension is increasing rapidly in developing countries more in urban areas due to changing life style and increasing longevity. Objectives: 1.To estimate the prevalence of hypertension and associated risk factors among urban population (18 years and above) of Raichur district of North Karnataka Materials and Methods: Prevalence of hypertension among adults from the previous studies was found to be 35%. Sample size of 713 was calculated using the formula 4pq/L 2 w i t h 1 0 % a l l o w a b l e e r r o r . Systematic random sampling was used and after taking informed consent, participants were interviewed using a pre tested questionnaire based on WHO STEPS approach for chronic disease risk factor surveillance and examined. Diagnostic criteria were based on JNC VII guidelines, SBP ≥140mmHg and/or DBP ≥90mmHg. Data was analysed using Epi-info and SPSS version 17. proportions and chi square test were used. Results: Prevalence of hypertension was found to be 37.6%; significantly associated with smoking, fruits and vegetables intake, salt intake, junk foods, family history of hypertension and obesity. There is no significant association with type of diet (vegetarian or non vegetarian) alcohol and physical activity. Conclusion: prevalence of hypertension among urban population is high. Life style factors are significantly associated with hypertension. So there is an urgent need for life style modification among urban especially among those with positive family history
Drug- and herb-induced liver injury in 2016 with highly appreciated critical comments: related or not, that is the question!

Received: December 26, 2017; Accepted: January 06, 2018; Published: January 12, 2018 Out of 1,500 publications on drug-induced liver injury (DILI) as well as herb-induced liver injury (HILI) reported in 2016, O. Shahbaz, S. Mahajan, and J.H. Lewis [1] selected 101 papers of relevance and provided an expert-based critical view on actual issues in the field of liver injury including liver pathology. Most interesting and encouraging, it seemed that among the 101 referenced papers there were only few single drugs with a case of a liver injury newly published in 2016. Certainly, new reports of some older drugs with established hepatotoxicity have been published again in 2016 confirming previous reports from before 2016 [1-4]. For instance, among these were drugs such as statins and antituberculosis medications [2,3], which are known for their potential causing rare idiosyncratic DILI, and overdosed acetaminophen [4], known for its intrinsic hepatotoxicity.
Report to Congress on the Evaluation of Medicare Disease Management Programs

Before Medicare Part D, Congress authorized the Medicare disease management demonstration to evaluate whether disease management programsâ€”in conjunction with a comprehensive prescription drug benefitâ€”could improve health outcomes and reduce Medicare expenditures. The demonstration targeted fee-for-service Medicare beneficiaries with advanced congestive heart failure, diabetes, or coronary artery disease. This congressionally mandated study found that, based on the population-based random assignment design, none of the three demonstration programs had impacts on key outcomes of Medicare Part A and B expenditures and service use.
Goal-oriented evaluation of species distribution models’ accuracy and precision: True Skill Statistic profile and uncertainty maps

Goal-oriented evaluation of species distribution mo dels’ 1 accuracy and precision: True Skill Statistic profil e and 2 uncertainty maps 3 4 5 Authors: Alejandro Ruete , Gerardo C. Leynaud 2 6 7 Affiliation: 8 1 Swedish Species Information Centre, Swedish Univers ity of Agricultural Sciences 9 (SLU). P.O. 7007, SE-750 07. Uppsala, Sweden. 10 *Corresponding author: alejandro.ruete@slu.se ; +46-18-672453 11 12 2 Centro de Zoología Aplicada, Facultad de Ciencias Exactas Físicas y Naturales, and 13 Instituto de Diversidad y Ecología Animal (CONICET UNC). Universidad Nacional de 14 Córdoba. Córdoba (5000), Argentina. 15 16 17 Running title: Goal-oriented evaluation of SDM’s performance 18 19
The Impact of Example Comparisons on Schema Acquisition: Do Learners Really Need Multiple Examples?

Comparing multiple examples within problem categories is usually considered a necessary prerequisite for schema acquisition. However, there is an evident lack of conclusive empirical evidence supporting this claim. Moreover, there are findings indicating that carefully designed one-example conditions may allow for profitable processes of example comparison as well. In line with this reasoning, we present an experiment - that builds up on a series of studies conducted by Quilici and Mayer (1996) -- yielding that multiple examples are only helpful for schema acquisition if the examples are processed thoroughly and if additional instructional support is provided for learners. Moreover, our study gives first evidence that multiple examples may even impede performance under less optimal learning conditions.