Miracle-dz/UniFAR-FTUs huggingface dataset:
Analyzing performance of classifiers for medical datasets

This paper analyses the performance of classification models using single classification and combination of ensemble method, which are Breast Cancer Wisconsin and Hepatitis data sets as training datasets. This paper presents a comparison of different classifiers based on a 10-fold cross validation using a data mining tool. In this experiment, various classifiers are implemented including three popular ensemble methods which are boosting, bagging and stacking for the combination. The result shows that for the classification of the Breast Cancer Wisconsin data set, the single classification of Naïve Bayes (NB) and a combination of bagging+NB algorithm displayed the highest accuracy at the same percentage (97.51%) compared to other combinations of ensemble classifiers. For the classification of the Hepati-tisdata set, the result showed that the combination of stacking+Multi-Layer Perception (MLP) algorithm achieved a higher accuracy at 86.25%. By using the ensemble classifiers, the result may be improved. In future, a multi-classifier approach will be proposed by introducing a fusion at the classification level between these classifiers to obtain classification with higher accuracies.
Analyzing the Use of Word Graphs for Abstractive Text Summarization

This paper focuses on abstractive text summa- rization. Our aim is to explore to what extent new sentences generated employing a word graph-based method (which either compress or merge information) are suitable for producing abstracts. Moreover, in order to decide which of the new sentences should be included in the abstractive summary, an extractive text summarization approach is developed (i.e., COMPENDIUM), so that the most relevant abstractive sentences can be selected and extracted. As shown by the results obtained, this task is very challenging. However, preliminary experiments carried out prove that the combination of extractive and abstractive information is a more suitable strategy to adopt towards the generation of abstracts.
Levels of effort by project stage — concept to feasibility ( adapted from eds

Groundwater interaction is recognised as one of the key variables influencing slope design and management and is particularly significant in weaker rock masses. Understanding groundwater and pore pressure behaviour in rock masses is generally based on accepted theory related to flow through porous granular media. The presence of discontinuous geological structures within rock masses distorts the accepted hydraulic behaviour and the profile and aperture variability presents the designer with a complex challenge. The paper adopts a geotechnical perspective and provides a review of our understanding of the interaction of groundwater with rock masses, including the accepted mechanics of water flow through granular and fractured media. The discussion considers how this behaviour can be expected to be locally modified and what implications this may have for slope stability. The discussion references observations as well as laboratory testing and physical measurements with consideration of the role of tortuous laminar flow and capillarity.
LOAD DISTRIBUTION ON SOIL PROFILE AS GENERATED BY FARM MACHINERY TIRES/COMPACTAÇÃO DO SOLO GERADOS POR PNEUS DE MÁQUINAS AGRÍCOLAS.

ABSTRACT Soil compaction is considered as a major agricultural problem which is close associated to agricultural productivity. This way, the sources of soil compaction should be identified and conveniently studied, so the interacting factors can be considered to propose a future mathematical model. Great part of Brazilian tractors is equipped with tires, which are recognized to generate soil compaction. This research work proposes the application of the shadow Moire technique to map strain distribution on soil profile as well as density increase due to the action of loads generated by tractor tires. Iso-strain curves generated from more fringes. KEYWORDS: Tires, Moire, Soil Compaction.
The effect of short term feeding with organic and conventional diets on selected immune parameters in rat

There is currently no evidence for beneficial health impacts being associated with the consumption of organic rather than conventional foods. This preliminary study was therefore aimed at using haematological parameters, white blood cell (WBC) number and splenocyte proliferation as sensitive assays to evaluate influence of the organic, low input and conventional components in the diet on rats’ immune system function. The results of a short term feeding trial with two rat generations indicates a potential effect on immune system function, which has to be confirmed by longer-term exposure studies.
Generating random variates from a bicompositional Dirichlet distribution

A composition is a vector of positive components summing to a constant. The sample space of a composition is the simplex, and the sample space of two compositions, a bicomposition, is a Cartesian product of two simplices. We present a way of generating random variates from a bicompositional Dirichlet distribution defined on the Cartesian product of two simplices using the rejection method. We derive a general solution for finding a dominating density function and a rejection constant and also compare this solution to using a uniform dominating density function. Finally, some examples of generated bicompositional random variates, with varying number of components, are presented.
Evaluation of Trapping to Reduce Monk Parakeet Populations at Electric Utility Facilities

Author(s): Tillman, Eric A. ; Genchi, Ann C. ; Lindsay, James R. ; Newman, James R. ; Avery, Michael L. | Abstract: Through accidental and intentional introductions, the monk parakeet, native to South America, is now established in several parts of the United States. In Florida, it occurs in 21 of 67 counties. Monk parakeets build a bulky nest structure of sticks, and they often build on electric utility substations and support structures for distribution and transmission lines. This nesting activity is incompatible with reliable electric service because nest material creates short circuits that cause power outages. Nest removal by electric utility personnel is ongoing but provides only short-term relief, as birds readily rebuild their nests. In this study, we evaluated passive and active methods to trap monk parakeets, and we documented the effectiveness of trapping to reduce rates of nest rebuilding on distribution poles. At electric substations, we tested two passive trap designs: a drop-in style trap, and a walk-in style trap. Monk parakeets were wary of traps, however, and were not easily captured even with extensive pre-baiting and the use of decoy birds. At distribution poles, we actively trapped birds at 47 nest sites using specially designed nets placed over nest entrances at night while birds roosted. Birds were then caught as they flew out of the nests into the net. Capture success at individual nest sites ranged from 0 to 100% with an overall average of 51%. Of the 47 sites where birds were trapped at night, 43 nests were removed immediately or shortly after netting. Subsequent monitoring revealed that higher nest site capture rates resulted in slower rates of nest rebuilding. We conclude that while more research is needed to design an effective passive trapping system, monk parakeets can be readily trapped from distribution pole nests at night thereby enhancing nest removal efforts.
Factors Determining Nurses Hospital Information System Usage

This study employs the combined technology acceptance model (TAM) and theory of planned behavior (TPB) (i.e., C-TAM-TPB) that extended with self-efficacy and knowledge of information technology to examine HIS acceptance by Malaysian nurses. A cross-sectional survey was conducted in three public hospitals in Malaysia to gather data from practicing nurses with experience of using HIS. Structural equation modeling using the partial least squares (PLS) method was utilized to evaluate measurements and structural models. The results stress that a nurse’s intention was significantly influenced by three factors, including his or her attitude, the subjective norm, and perceived behavioral control. The results also indicate that the model can explain over half of the variance in the intention to use HIS.
A PRELIMINARY MODEL OF USER BEHAVIOUR REGARDING THE MANUAL CONTROL OF WINDOWS IN OFFICE BUILDINGS

This paper presents the results of a field study of manual control of windows which has been carried out in 21 individual offices within the Fraunhofer Institute’s building in Freiburg, Germany, from July 2002 to July 2003. Window status, occupancy, room and outdoor climatic conditions were measured every minute. Previous research findings are validated and extended by the results of this field study. The analysis of user behaviour reveals a strong correlation between the percentage of open windows and the time of year, outdoor temperature and building occupancy patterns. Most window opening is connected with the arrival of a person. Based on the results, a preliminary user model is proposed to simulate and predict window status in office buildings with varying outdoor temperature and occupancy.
Use of INSAR in surveillance and control of a large field project

In this paper, we introduce a new element of our [1] multilevel, integrated surveillance and control system: satellite Synthetic Aperture Radar interferometry (InSAR) images of oil field surface. In particular, we analyze five differential InSAR images of the Belridge Diatomite field, CA, between 11/98 and 12/99. The images have been reprocessed and normalized to obtain the ground surface displacement rate. In return, we have been able to calculate pixel-by-pixel the net subsidence of ground surface over the entire field area. The calculated annual subsidence volume of 19 million barrels is thought to be close to the subsidence at the top of the diatomite. We have also compared the 1999 rate of surface displacement from the satellite images with the surface monument triangulations between 1942 and 1997. We have found that the maximum rate of surface subsidence has been steadily increasing from -0.8 ft/year in 1988-97 to -1 ft/year in 1998-99. The respective rates of uplift of the field fringes also increased from 0.1 ft/year to 0.24 ft/year. In 1999, the observed subsidence rate exceeded by 4.5 million barrels the volumetric deficit of fluid injection.
Convergence of the Conjugate Gradient Method on Singular Systems

We analyze the convergence of the Conjugate Gradient (CG) method in exact arithmetic, when the coefficient matrix $A$ is symmetric positive semidefinite and the system is consistent. To do so, we diagonalize $A$ and decompose the algorithm into the range and the null space components of $A$. Further, we apply the analysis to the CGLS and CGNE (CG Normal Error) methods for rank-deficient least squares problems.
LONG SHORT TERM MEMORY BASED TOTAL TRAFFIC PREDICTION FOR CONTAINER LOAD BALANCING

Predictive load balancing is becoming increasingly relevant with the rapid adoption of machine learning models. Current load balancing approaches only considers the current state of the system, even though the current state of the system often varies. Accordingly, dispatch requests are provided herein which not only consider the current load on the system, but also the future load. DETAILED DESCRIPTION Container deployment frequently suffers from latency issues due to short sightedness. In particular, when making decisions relating to dispatching a new container, it is assumed that the load at the current moment in time is going to continue. In one example, there are limited available resources (e.g., only a few containers). Suppose machine A has 50% Central Processing Unit (CPU) free and has containers of type A1 and A2, and machine B has 40% free CPU and has containers of types A2 and A3. If another container of type A2 needs to be run, a load balancer for application deployment would assign machine A to handle it since it has more resources available at that point in time. However, if it could predict that the A1 application will have more demand in a few minutes, then the container orchestration tool could anticipate and allocate the load to machine B. The methodology involves calculating load anticipation of different application types (e.g., a set of endpoint groups in Cisco Systems, Inc.’s Application Centric Infrastructure (ACI) architecture). Long Short Term Memory (LSTM) in Recurrent Neural Networks (RNNs) calculates the future load based on the current and past load. It does not have to create a different model for time of the day, day of the week, or day of the year. LSTM automatically remembers which values of the past data contribute to the future data. 2 Ragupathy and Ma: LONG SHORT TERM MEMORY BASED TOTAL TRAFFIC PREDICTION FOR CONTAIN Published by Technical Disclosure Commons, 2018 Copyright 2018 Cisco Systems, Inc. 2 5591X The load balancer described herein includes two LSTM based prediction systems. The first prediction system predicts the future load for each application type. Using this data it can estimate the average load for each machine at any given time. For example, if the load for application type A is predicted to be 300% for the next hour and there are six machines hosting the type A container, the average load for the three hosts must be at least 50% for the next hour. The second prediction system predicts how long the current request (flow duration) will last. The future load at the target system should be less than 100% for this duration at least. Figure 1 below illustrates an example overview of a system configured to implement the techniques described herein.
International Residential Real Estate Brokerage Fees and Implications for the US Brokerage Industry

It is commonly understood that residential real estate brokerage fees in the US tend to run 6% or 7% within local markets for existing property resales. Exceptions to these historically uniform going rates are starting to appear, and utilization of the internet will provide new efficiencies that should lead to lower commission rates in the future. One possible indication of where the long term commission rates may head, should price competition increase, is provided by a review of commission rates around the world. This study is a first attempt to gather such data and begin the process of global comparisons. Most industrialized country brokerage rates are significantly below those of the US, although there are clearly differences in the services provided, red tape, and liabilities, as well as information access. An exploratory model attempts to explain variations in fees around the world and deepen our understanding of possible equilibriums for US firms should price competition increase.
Trust and Brand Recovery Campaigns in Crisis: Findus Nordic and the Horsemeat Scandal

The aim of this study is to describe and analyze a transboundary crisis, focusing on crisis communication from the perspective of an involved major corporation. More concretely, the intent is to increase understanding of how Findus Nordic in Sweden managed the crisis communication response and repair of its trust and corporate brand during and after the horsemeat scandal in 2013. The case study is based on a theoretical framework that consists of three theories or concepts: transboundary crisis, image repair strategy, and rhetorical arena. Findus Nordic followed its corporate values and applied a consistent image repair strategy: denial and blame shifting towards the supplier Comigel in an extremely multivocal arena. This strategy was supplemented with responsibility evasion. Towards the end of the public crisis, Findus Nordic used the crisis as an opportunity to recover their position and started a campaign that had a positive impact on trust and the corporate brand. The launch of the campaign was very fast and might have been dangerous. However, according to the analysis, the success of the campaign may be explained as a consequence of its sensemaking and auto-communicative approach.
Analysis of the system with vacations under poissonian input stream and constant service times

In the paper approximate formulas for the mean waiting times and the buffer dimensioning in the system with vacations fed by the stream of Poissonian type with constant service times is shown. Furthermore, in the considered system the time intervals of the availability/not-availability of the service are constant and are run alternately according to the assumed cycle. More precisely, presented approach begin with derivation of the mean waiting times and, on the basis of this, the required buffer size for guaranteeing the losses less than predefined value is estimated. The accuracy of the presented analytical formulas is on a satisfactory level. The formulas were used for the System IIP dimensioning. Keywords—approximation analysis, buffer dimensioning, mean waiting times, system with vacations.
Features Reduction using Logistic Regression for Spam Filtering

Today, The much amount of spam that occupies the mail server and network storage occurs the lack of negative issues, such as overload, and for users to delete the spam should spend time, resources have a problem. Automatic spam filtering on the incidence to solve the problem is essential. A lot of Spam filters have tried to solve the problem emerged as an essential element automatically. Unlike traditional method such as Naive Bayesian, PCA through the many-dimensional data set of spam with a few spindle-dimensional process that narrowed the operation to reduce the burden on certain groups for classification Logistic regression analysis method was used to filter the spam. Through the speed and performance, it was able to get the positive results.
Service requirement for terminal delivery: An empirical study from the perspective of online shoppers

To investigate customer’s service requirement for parcel delivery, combining with theoretical analysis and empirical test, a measuring model of customer service requirement was proposed for terminal delivery. Based on literature reviews, five potential dimensions with 27 items were initially discussed. Through exploratory factor analysis on samples collected from Taobao networks, four dimensions with 18 measurement items were finally confirmed including service attitude, service reliability, service standardization and service flexibility. By further confirmatory factor analysis, the fitness of this measuring model was proved to be acceptable. The research revealed that online shoppers paid attention to not only service result but also service process, so related suggestions were also proposed for express firms to promote their service management.
Osteoprotegerin Serum Levels in Rheumatoid Arthritis

P . b . b . G Z 0 2 Z 0 3 1 1 0 8 M , V e r l a g s p o s t a m t : 3 0 0 2 P u r k e r s d o r f , E r s c h e i n u n g s o r t : 3 0 0 3 G a b l i t z Indexed in SCOPUS/EMBASE/Excerpta Medica www.kup. at/mineralstoffwechsel Österreichische Gesellschaft für Orthopädie und Orthopädische Chirurgie Österreichische Gesellschaft für Rheumatologie Offizielles Organ der Österreichischen Gesellschaft zur Erforschung des Knochens und Mineralstoffwechsels Ö S T E R R E I C H I S C H E G E S E L L S C H A F T
Stability and -Gain Analysis for Positive 2D Systems with State Delays in the Roesser Model

This paper considers the problem of delay-dependent stability and -gain analysis for positive 2D systems with state delays described by the Roesser model. Firstly, the copositive-type Lyapunov function method is used to establish the sufficient conditions for the addressed positive 2D system to be asymptotically stable. Then, -gain performance for the system is also analyzed. All the obtained results are formulated in the form of linear matrix inequalities (LMIs) which are computationally tractable. Finally, an illustrative example is given to verify the effectiveness of the proposed results.
Coral recruitment on a high-latitude reef at Sodwana Bay, South Africa : research methods and dynamics.

Coral recruitment is a key process that contributes to the community structure and resilience of coral reefs. As such, quantification of this process is important to assist with the management of these threatened ecosystems. While coral recruitment has been the focus of numerous studies over the past 30 years, an understanding of this process on the high-latitude reefs of South Africa is limited. In addition, variations in methods used in recruitment studies make the results difficult to compare. A rapid in-situ method for universal application in the detection of early post-settled recruits would thus be useful. In this study, scleractinian coral recruitment was investigated at three study sites on Two-mile Reef, over two six-month sampling periods, covering summer and winter. Two components were investigated by attaching settlement tiles consisting of ceramic and marble tiles, and ceramic tiles conditioned with crustose coralline algae (CCA) onto the reef in a spatially structured experimental design. Firstly, coral recruitment was compared on the three different tile surfaces and fluorescence photography was investigated as a rapid in situ technique to detect early post-settled recruits. Fluorescence photography was then used to compare recruitment on tiles with the surrounding natural substrata. Secondly, the spatial and temporal variation in the abundance, composition and size of recruits was investigated. Additionally, the percentage cover of biota surrounding each recruit within three millimeters of its corallum was visually estimated to quantify the microhabitat surroundings of coral recruits. Overall recruitment on the three tile types differed, yet spatial variation in coral recruitment, regardless of tile surface, accounted for most of the variance in recruitment. While the highest recruitment occurred on CCA tiles, this was not significantly greater than ceramic tiles, indicating that the conditioning of ceramic tiles with Mesophyllum funafutiense CCA did not enhance coral settlement in this study. Although many recruits were not detected with fluorescent photography (73%), it proved useful to reveal recruits as small as 0.75 mm in corallum diameter, and indicated that recruitment on the tiles and natural substratum differ significantly. Spatially, the abundance and composition of coral recruits differed between study sites, within sites, and predominantly occurred on tile edges. Coral recruitment was lowest at shallower sites, and was dominated by pocilloporids regardless of study site. Additionally, the abundance and composition of recruits differed between the two sampling periods, with a 6.6-fold decrease in the mean abundance of recruits from summer