Miracle-dz/UniFAR-FTUs huggingface dataset:
Review of Heart Disease Prediction using Data Mining Classifications

In the research data mining techniques will helpful to handle this technique of predictive model. Research will show the most effective parameter of the heart disease prediction and will get the scenario for least predictive value and most predictive value in whole data mining technique. Initially need to identify the exact state of the user entering parameter which can be frequent item although random value of dataset in data modeling . This research has a prototype Heart Disease Prediction using data mining techniques, namely Naive Bayes which in artificial Neural Network concept. Results show that each technique has its unique strength in identify the objectives of the defined mining goal and expert system . Researchers are using some medical exponent attributes such as age, sex, blood pressure and blood sugar , glucose and some related factors can predict the likelihood of patients getting a heart disease with its exact probability. Basically this technique is expended on the defected and non-defected parameter which works as result class. Keywords: - Back propagation, Data mining, Heart disease, Multilayer perceptron neural network, Neural Network, Naive Byes
Análisis del gasto energético en entrenamiento con cargas en circuito Comparación de cargas elevadas vs ligeras. Analysis of energy expenditure in circuit training with load. Comparison between heavy and light loads

Resistance training is a common physical activity, either in europeans (more than 38 millions of persons) or americans (more than 40 millions). In this context, to know the energy expediture in this activity could be helpful to plan activities which aim is the loss of weight. Six men and six women carried out a circuit without rest in two differents days. The first day with a light intensity (lower than 60%) and the second day at higher intensity (larger than 70%). Statistical differences were found between intensities as between genders, mainly due to the genetic component (fiber composition and corporal composition). In conclusion, protocols consisting of high intensity circuit training consume more aerobic energy than low intensity.
Sub‐Seasonal Prediction of Drought and Streamflow Anomalies for Water Management in India

Meteorological and hydrologic prediction at short to sub‐seasonal scales is essential for reservoir operations to mitigate droughts. We examine the skills in the meteorological forecast from the Subseasonal Experiment (SubX) and Extended Range Forecast System (ERFS) for precipitation, maximum and minimum temperatures at 1, 7, 15, and 30 days lead. We bias‐corrected meteorological forecasts using the multivariate bias correction method for hydrologic prediction. The Variable Infiltration Capacity model was used to simulate total runoff and root‐zone soil moisture for India. We also developed a streamflow forecast for the five major river basins that have large reservoirs. Bias correction of meteorological forecast (precipitation, maximum and minimum temperatures) resulted in a considerable improvement in hydrologic and meteorological forecast skills. The Environmental Modeling Center (EMC) model from the SubX provides either better or equal forecast skills for the raw meteorological forecast compared to ERFS, which is an operational product in India. We examined the forecast skills of the meteorological and hydrological products for the two major droughts that occurred recently. We find that most forecast models effectively captured the onset, peak, and termination of the North Indian drought in 2015–2016 and the South Indian drought in 2016–2017 at a 30‐day lead. Bias correction of the meteorological forecast improved the streamflow forecast for the selected drought event upstream of the major reservoirs. The EMC model showed better forecast skills for the two major droughts than other forecast products. Overall, the SubX products show potential for short‐to‐sub‐seasonal scale hydrologic prediction that can assist water management in India.
The Detection and Remediation Technologies of PCB-Contaminated Soils

Polychlorinated biphenyls (PCBs) are the organic pollutants that of persistence, fat soluble and character such as biological toxicity, widely distributed. It also showed a highly persistent in the environment, strong enrichment and high biological toxicity, having the serious harm to human health and ecological environment. The final destination of PCBs in the environmental system is soil and sediment due to its highly distribution coefficient between sediment and water. PCBs in soil is difficult to decompose and has strong adsorption. Therefore, the detection and remediation of PCBs in soil is very critical. PCBS in soil detection technologies becoming matured at present. Such as dual column gas chromatography analysis method, GC – MS, enzyme immunoassay for PCBs detecting have been widely used. Low cost, high resolution and high accuracy detection technology has been more and more attention. For the remediation technologies of contaminated soils, chemical remediation, bioremediation technologies developed fast. Efficient, economic and environmental multiple remediation method, such as elution pretreatment on contaminated soil, combination of multiple remediation techniques are the development direction of the future. Based on the analysis on detection and remediation technologies of PCBs in soil. The principle and suitable condition of different detection methods and remediation technologies of PCBs in soil was studied in this paper. To provide technical support to remediation the PCB-contaminated soils.
Social Media Impact on Traditional Media: A Review on the Reason Behind the Closure of Utusan Malaysia

Social media has changed people's behaviour, attitudes, habits, lifestyles, and the process of communication. The scholar describes social media as a double-edged sword because of having a positive and negative impact on society. The aim of the paper is to identify the effects of social media on traditional media, especially on printed newspapers. Content analysis in systematic reviews has been applied to collect data from secondary sources such as journal articles, newspaper articles, government websites, and non-government websites. Based on the collected data, social media's positive effects on society are imparting knowledge, accelerating the communication process, building a virtual workplace, and e-commerce marketing. On the other hand, social media's adverse effects are cyberbullying, hacking, addiction, and spreading fake news. Social media have threatened the printed newspaper, and the journalist confronts challenges staying on track. The circulation of the daily printed newspaper declined gradually due to the revolution of social media and social media-based citizen journalism practising in Malaysia. Many newspapers have been compelled to cease their operation due to losing subscribers dramatically. Finally, this paper provides a review of the reason behind the closure of printed newspapers in Malaysia. Based on the discussions and the previous study, the paper presents three significant reasons behind Utusan Malaysia's closure: poor economic conditions, political crisis, social media revolution, and citizen journalism practising in Malaysia. In conclusion, few suggestions have been discussed that might help printed newspapers in Malaysia to survive in the digital era. Keywords: Social Media; Impacts; Traditional Media; Newspapers; Citizen Journalism
Bulletin of Electrical Engineering and Informatics

Received Oct 17, 2021 Revised Dec 27, 2021 Accepted Jan 13, 2022 Requirement traceability supports several activities of software development processes such as impact analysis, requirement changes, maintenance, verification, and validation of a software system. For its effective use in those activities, the graphical representation of traceability data plays an important role. However, several traceability tools lack an excellent visual representation to present these type of data. Therefore, this paper presents a visual framework which has been designed and proposed as a prototype tool that can visualize traceability data. The framework applies data visualization techniques to represent requirements and its artefacts relationships as colourcoded symbols on a node-link diagram; users can traverse the graph with an impact analysis method to understand data and make decisions. The evaluation result shows that the proposed tool is useful and easy enough in terms of improving user interaction and to better understand requirement traceability data.
Acaricide resistance in the spinose ear tick, Otobius megnini (Acari: Argasidae) infesting racehorses in Sri Lanka

: The spinose ear tick Otobius megnini is a causative agent of otoacariasis in horses and jockeys in the Nuwara Eliya racecourses. The present study aimed at investigating the status of acaricide resistance and underlying mechanisms in this tick species under laboratory conditions. Live ticks collected from the ear canal of horses were used to establish a laboratory colony. Larval bioassays were carried out with an organophosphate (malathion), pyrethroids (flumethrin and permethrin), and an organochlorine (DDT) using Larval Packet Tests (LPT). The LC 50 (24 h) values for malathion, flumethrin, permethrin and DDT were recorded as 0.11%, 0.0003%, 0.008% and 0.124%, respectively, and the respective values for LC 90 were 0.722%, 0.004%, 0.300% and 3.049%. Biochemical assays revealed that the mean specific activity levels of esterase, glutathione S-transferases (GSTs), and monooxygenase amounts were 0.064 ± 0.008 μmol min -1 mg -1 , 0.104 ± 0.050 μmol min -1 mg -1 , and 0.068 ± 0.020 equivalent units of cytochrome P450, respectively. The percentage remaining activity of the propoxur-inhibited Acetylcholinesterase (AChE) was 33.88 ± 13.60%. Our data indicated that the O. megnini population of Nuwara Eliya, Sri Lanka was most susceptible to flumethrin and showed resistance to DDT. Development of resistance to malathion through increased activity of esterase and insensitive AChEs was evident. Since the activities of monooxygenases and GSTs were not enhanced, permethrin and DDT resistance may have developed through target site insensitivity.
A Wearable Real-Time and Non-Invasive Thoracic Cavity Monitoring System

ii Dedication . iv Acknowledgments. v Vita . vii List of Tables . xiv List of Figures . xv Chapter 1: Introduction . 1 Chapter 2: Non-Invasive Medical Imaging Techniques . 7 2.1 Electrical impedance tomography . 7 2.2 Ultrasound and acoustic impedance tomography. 11 2.3 Microwave imaging. 14 2.4 Conclusions . 15 Chapter 3: Determining the Relative Permittivity of Deep Embedded Biological Tissues Using a Compact Planar Sensor . 17 3.1 RF Sensor structure and development . 19 xi 3.2 Sensor design for dielectric constant extraction . 22 3.3 Correlation between measured scattering parameters and the dielectric constant 23 3.4 Measurements and validation . 27 3.5 Sensor placement study . 30 3.6 A theoretical study on the accuracy of the small planar sensor in estimating the dielectric constant of deep biological tissues . 32 3.7 Discussion and summary . 33 Chapter 4: Applications of the Compact Planar Sensor . 34 4.1 Sample study for edema and emphysema symptoms . 35 4.2 Tissue emulation technique . 37 4.3 Measurements using a human phantom . 39 4.4 Design of the body-area network for medical sensing (MS-BAN 1.0) . 43 4.4.1 Architecture of the body-area network . 43 4.4.2 Wireless communication system. 44 4.4.3 RF-to-DC converting circuit . 46 4.5 Experimental validation of MS-BAN wireless link . 47 4.6 Textile sensor . 49 4.7 Discussion and summary . 50
Driven by News Tone? Understanding Information Processing When Covariates are Unknown: The Case of Natural Gas Price Movements

Digitization promotes the instant dissemination of news in financial markets. These news represent unprecedented amounts of unstructured data. This paper applies Big Data analytics to financial news related to the natural gas market. To date, we find evidence on 16 different variables as drivers of the natural gas price. However, these fundamental drivers cannot explain a significant share of natural gas price volatility. Thus, we first apply a LASSO shrinkage method to identify the most significant control variables. Our feature-selection LASSO method suggests 4 out of the 16 drivers as relevant. Second, we investigate the effect of news sentiment on the Henry Hub gas price as a potential driver of volatility. We include the 4 most relevant control variables as of the LASSO method into our regression model. Our findings suggest a significant positive effect of news sentiment on the natural gas price.
Facilitated learning and adaptive systems for building business sustainability: the farm business resilience program for WA farmers

Farming businesses are expected to be adversely affected by climate change and have low levels of training. Facilitated learning and adaptive systems training methods for these small and micro businesses were used in the Farm Business Resilience (FBR) Program in 2010 and 2011 to build capacity for business sustainability. In five modular workshops, farmers identified key environmental, social, financial and production challenges with the assistance of trained facilitators. They then had an opportunity to ‘self discover’ potential ‘solutions’ and write strategic plans. Grants were available to assist implementation of priority activities. Results presented relate to the impact of the program, particularly changes in participant attitude, behaviour and expected future behaviour. Conclusions are made about the key characteristics of the process.
Recent advances in single-phase transformerless photovoltaic inverters

Photovoltaic (PV) power systems have been in the spotlight of scientific research for years. However, this technology is still undergoing developments, and several new architectures are proposed each year. This study describes the main challenges facing grid-connected PV systems without galvanic isolation, then carries out a review of the state-of-the-art of single-phase systems. The converter topology review is focused on the match between the different types of converters and the different PV panel technologies, determined by the common-mode voltage between the PV string terminals and the ground. The ground leakage current, due to time variations of this voltage, is a source of electric safety and electromagnetic interference (EMI)-related problems, and its amplitude is constrained by international standards. The basic principles of operation of the different solutions are described, along with their strengths and drawbacks. Conversion efficiency is evaluated qualitatively comparing the semiconductor power losses. Finally, the future trends regarding semiconductor devices, PV panels and international regulations for single-phase grid-connected equipment are discussed, and indications on how these might steer future research efforts in PV converters are inferred.
Aquisição e desenvolvimento de recursos estratégicos de restaurantes gastronômicos: estudo de multicasos na América Latina

The general purpose of this research is to analyze the process of development and/or acquisition of strategic resources of gastronomy restaurants in Latin America. The methodology used was a longitudinal-qualitative multiple case study, carried out at Mocoto, Epice and Astrid y Gaston restaurants. Data were collected through semistructured personal interviews with nine participants, among managers, journalists and food critics, besides some documents - menus, newspapers/magazines and books - which were examined by using content analysis techniques. The results indicated that, in the three cases studied, strategic resources were: human, organizational, relational, reputational, technological, financial and physical resources which, in turn, were developed internally. The resources obtained from the market were exclusively human, physical and financial resources. Moreover, the results also pointed that, in the three cases studied, the chef is the key resource for any restaurant whose purpose is to appear on a recognized gastronomic guide. Such a human resource was referred as being crucial for the design and implementation of restaurants' strategies, as well as being responsible for combining and complementing the other strategic resources. Based on these results, it was found that the chefs have created a distinctive identity for their companies, differentiating them from the competitors and generating a sustainable competitive advantage.
Exact Solutions for Minimizing cost Function with Five Criteria and Release Dates on Single Machine

In this paper, we present a Branch and Bound (B&B) algorithm of scheduling (n) jobs on a single machine to minimize the sum total completion time, total tardiness, total earliness, number of tardy jobs and total late work with unequal release dates. We proposed six heuristic methods for account upper bound. Also to obtain lower bound (LB) to this problem we modified a (LB) select from literature, with (Moore algorithm and Lawler's algorithm). And some dominance rules were suggested. Also, two special cases were derived. Computational experience showed the proposed (B&B) algorithm was effective in solving problems with up to (16) jobs, also the upper bounds and the lower bound were effective in restricting the search.
An exploratory study of work life balance among banking and insurance sector employees

INTRODUCTION Due to advances in communication technology, people are able to carry on work from any location to support both colleagues and clients in distant locations. Endless e-mails, unpredictable deadlines and longer hours at work are constant threats to an individual’s personal and family life. An employee is often concerned that attending to family matters during office hours may give the impression of being less committed to work. Yet, sometimes there is little or no alternative but to take time off from work to attend to domestic needs. Working couples find it particularly difficult to meet commitments to family, friends and community. In such scenario it is easy for work to invade the personal life making both work life and personal life go out of the balance. Thus finding work life balance in today’s past paced world becomes a Herculean task and presents a major challenge to both employers and employees. Work life balance is now increasingly becoming the focal point of study by HRM experts as also managing the teams of employing corporate. It is also an important HR issue that is thoroughly debated. Work life balance is as vital to the employing corporate, as it is to the employees. For an employer, a highly satisfied and hardly stressed employee is an invaluable asset and virile source of productivity. For an employee Work life balance would mean stress free, enjoyable private life.
Decision Science Can Help Address the Challenges of Long‐Term Planning in the Colorado River Basin

“Deep uncertainty” is a term that describes planning contexts in which it is impossible to determine the likelihood of any given set of future conditions, there are conflicting performance objectives and priorities, and decision outcomes are unpredictable. Evidence of the relevance of this term in the Colorado River Basin can be found in the unexpected severity and length of the ongoing drought, the existence of a wide range of future streamflow and demand projections and anticipated system requirements, as well as in the diverse range of stakeholders, viewpoints, and priorities that must be considered when developing and analyzing future operating policies. Decision Making under Deep Uncertainty (DMDU) is a branch of decision science devoted to developing planning approaches that can address these challenges. Reclamation began exploring DMDU techniques in 2012 in the Colorado River Basin Water Supply and Demand Study when it used the concepts of adaptation, vulnerability, and robustness in the design and evaluation of portfolios of options and strategies to address a potential supply‐demand imbalance in coming decades. This article presents the basis for continuing to explore DMDU techniques and briefly describes how Reclamation’s recent and ongoing DMDU studies could contribute to future planning efforts in the Colorado River Basin.
DIE ANWENDUNG DER GENETISCHEN ALGORITHMEN IM KONSTRUKTIONSPROZESS

The aim of product development is to meet, even more, to form and evolve any requirements of the chosen market segment. It is only possible via the early recognition of real demands and developing products which are flexibly adjustable to the permanently changing needs. Establishment of constructional variants adjusted to a system of abstract requirements with the use of artificial intelligence methods may be faster and their evaluation more objective. Via the example of planar linkage mechanism this paper presents how to apply genetic algorithms in different phases of the constructional design process. The presented method gives a procedure for the automatic solution of problems emerging in early, conceptional phases of the constructional design process.
Do environmental temperatures and altitudes affect physical outputs of elite football athletes in match conditions? A systematic review of the ‘real world’ studies

ABSTRACT Players involved in the various football codes compete throughout the calendar year around the world. Therefore, environmental stressors such as temperature and altitude should be considered in preparation for, and during, matches. We aimed to systematically review the observational and quasi-experimental studies that have been specifically designed to quantify the effects of temperature (hot or cold) high altitude on in-match physical performance indicators. A search of electronic databases (Web of Science, Scopus, SPORTDiscus, PubMed/MEDLINE) was conducted, with 19,424 papers identified as relevant. Following sifting in relation to the eligibility criteria, 12 papers were deemed directly relevant. The reviewed studies scored 6–9 (on a 0–9 scale) for quality assessment using a previously used scale. The major outcome variables relevant to the current review were total distance (m), high-speed running (m) and high-speed runs (count) measured during matches. Standardized effect sizes (ES) were heterogeneous across studies for total distance (ES: −0.96 to −0.14) and high-speed running (ES: −0.69 to 0.12) for >1000 m vs sea-level, time spent at the given altitude being a putative factor for this heterogeneity. Heat had mainly detrimental effects on performance, but ES were, again, heterogeneous across studies (ES: −1.25 to 0.26), dependent on temperature. Given the small number of studies that involved mostly male athletes, and large heterogeneity across studies, more research needs be conducted on physical performance in these environmental conditions, with attention paid to standardizing outcomes and broadening the approaches of studies to guide future decision-making in professional sporting environments.
EDUCATIONAL DATA MINING APPLICATIONS

The tools and techniques of data mining are being adopted by the industries to generate business intelligence for improving decision making. Education institutions are beginning to use data mining techniques for improving the services they provide and for increasing student grades and retention. This paper presents broad areas of applications in which educational data mining can be applied to e-learning. The application areas discussed in this paper are: 1) User modelling 2) User grouping or profiling 3) Domain modelling and 4) Trend analysis. A MathsTutor for school students of 6 th , 7th and 8 th grade is designed and implemented in 3 schools in Tamilnadu. The student data are taken for analysis for the above said areas. This helps teachers, policy makers, and administrators to understand how educational data mining work to support education related decision making.