Miracle-dz/UniFAR-FTUs huggingface dataset:
The Third Information Systems International Conference Data Mining in Healthcare – A Review

The knowledge discovery in database (KDD) is alarmed with development of methods and techniques for making use of data. One of the most important step of the KDD is the data mining. Data mining is the process of pattern discovery and extraction where huge amount of data is involved. Both the data mining and healthcare industry have emerged some of reliable early detection systems and other various healthcare related systems from the clinical and diagnosis data. In regard to this emerge, we have reviewed the various paper involved in this field in terms of method, algorithms and results. This review paper has consolidated the papers reviewed inline to the disciplines, model, tasks and methods. Results and evaluation methods are discussed for selected papers and a summary of the finding is presented to conclude the paper. © 2015 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the scientific committee of The Third Information Systems International Conference (ISICO 2015)
A Preliminary Study of the Numerical Simulation of a Gaseous Anthracene Compound in an Atmospheric Plasma Reactor for Treating Cooking Fumes

United States Environmental Protection Agency (USEPA) ranked Anthracene (Ant) sixteenth among polycyclic aromatic hydrocarbons (PAHs) priority air pollutants. Computational fluid dynamics (CFD) can be employed to combine knowledge from experiments and theoretical studies by developing chemistry and physics models and evaluating their predictions. Non-uniformity in atmospheric plasma reactor (APR) environments, including flow, temperature, and contaminant concentration distributions, must be considered to optimize design. This can be achieved by applying a CFD technique to an APR for treating cooking fumes through environmental numerical simulation. In simulation, the dimensions and operative conditions of an atmospheric plasma reactor are same as the reactor developed in this study. The reaction zone of the APR was constructed and meshed using a Gambit version 2.4. 6 preprocessor. A three-dimensional structured grid comprising approximately 493,000 cells was employed to describe a quarter of the total volume. The commercial CFD program ANSYS Fluent version 12.1 was used to simulate the combustion process in the APR. The Navier–Stokes governing equations were discretized by a finite volume method and flow fields were estimated using the Reynolds Averaged Navier– Stokes (RANS) model. The Eddy-Dissipation Concept (EDC) function was selected to predict air flow temperature distribution and gaseous anthracene compound mass fraction. Results of the preliminary study of numerical simulations showed that the numerical simulated average temperature and Anthracene compound mass fraction in the tail exhaust varied within ±5% of the measured data.
Innovative decision support for IT service management

Abstract The IT Service Management (ITSM) industry has defined processes as best practices in the widely-accepted IT Infrastructure Library (ITIL®) framework. However, there are few tools available to provide decision support to IT Service Managers who wish to improve service management processes. It is essential to assess the current capability of processes before process improvements are planned. Our research addressed the problems of the lack of transparency and the need for efficiency in ITSM process assessment. Using the Design Science Research methodology, we developed an innovative Software-mediated Process Assessment (SMPA) approach that automates assessment of ITSM processes and supports the decision-making of IT Service Managers. The SMPA approach includes process selection, an online survey to collect assessment data, measurement of process capability and specific recommendations for managers to commence process improvement. We implemented a decision support system (DSS) to automate the SMPA approach and evaluated it at two IT service providers. The evaluations indicated that the SMPA approach supports decision-making on process improvements. In the future, data analytics performed on the assessment data can help IT managers to analyse and visualise the ‘big data’ of process knowledge.
Gas displacement and aggregate stability of soils

When surface soils are dry, 02 and N 2 are adsorbed on the external mineral surfaces. In the process of wetting the soil, water molecules displace the adsorbed 02 and N2 molecules to the gas phase where they can be measured, as was done in this study. These gases, released from the adsorbed phase, join entrapped air in the gaseous phase as the primary factor disintegrating aggregates when soils are wet quickly. Adsorption of N 2 and 0 2 occurs on surface soils during hot dry afternoons as the water molecules leave the surface. During cool nights, relative humidities commonly rise above 50%, allowing more strongly adsorbed H 2O molecules to displace adsorbed 02 and N 2. Release of this adsorbed N2 and 0 2 causes aggregates wetted by immersion during hot afternoons to be less stable than aggregates of the same soil wetted in the morning.
Comparison of hysteresis of high accuracy positioning system with piezoelectric actuators

In the paper, high accuracy positioning systems with flexible elements are investigated. In the analyzed systems, piezoelectric actuators are used for the transmission of motion and the hystereric phenomenon in them is investigated. Effect of the hysteretic phenomena to the precision of the high accuracy positioning systems is of special importance. For the investigations, a special experimental setup was designed and produced as well as the method of the experimental procedure was proposed. The experimental setup includes a computer, a piezocontroller, an inductive displacement sensor and a dynamic data collector. The dynamic data collector is used for the collection of data and for the transfer of data to the software for further processing. Numerical modelling of the hysteretic was performed by using the Matlab/Simulink software. In the process of investigations, it was determined that the maximum dispersion error of the hysteretic model is less than 5 % when compared with the experimental results. Thus, it is concluded that the proposed method of hysteretic phenomenon modelling is suitable for modelling of high accuracy positioning systems with flexible elements, which are controlled by piezoelectric actuators.
Efficiency and Usability of Participatory Budgeting Methods

Participatory budgeting is an influential paradigm that engages residents in the process of allocating a city’s budget. Different implementations vary in the input format they use to elicit participants’ preferences on potential projects. Our goal is to compare input formats on two dimensions: efficiency, which is measured in terms of the social welfare of the resulting outcomes, and usability, which is evaluated through a combination of objective and subjective indicators. To this end, we conduct an extensive empirical study, in which more than 1200 voters used different methods in a controlled setting. Our results suggest that a popular input format known as k-approval imposes low cognitive burden and is strikingly efficient, but is not necessarily perceived as such.
Measuring Busyness of University Facilities

Lack of highly functional occupancy measurement systems on actively used facilities may lead to various scheduling, efficiency and cost-saving complications. Hence, introducing the application, which will measure busyness of actively used facilities, students, alongside with universities` academic, administrative, and technical staff, will benefit from decreasing amount of times spent on busy facilities, and do appropriate utilization related policies. CCS CONCEPTS Machine Learning Approaches → Neural Networks; Image Manipulation → Image processing;
Efficacy of 1.48 μm Diode Laser in Assisted Hatching Technique in Vitro Fertilization

Assisted hatching is a laboratory technique makes an artificial opening in thick zona to make the embryonic cells can hatch out and attach to the uterine wall and form pregnancy. Laser assisted hatching used in conjugation with intra-cytoplasmic insemination fertilization. Material and methods: The study was conducted at Kamal al-Samarrai Specialist Hospital of fertility and IVF-Baghdad during the period from 3 July 2016 to 10 November 2017. Fifty nine infertile couples have been enrolled in this study and were included in ICSI cycle. The patients subdivided into 3 groups according to the duration of laser exposure (2, 4.5 and 8 μs). Results: younger women had higher successful clinical pregnancy compared to older women (40% vs. 27.6%), 4.5 μs had the highest successful clinical pregnancy 57.9% compared to 2 μs and 8 μs, with an PR (95%CI) 8.25 (1.797 – 37.881). Conclusion: Age has modest effect to predict successful clinical pregnancy outcome, in which the older the age of women the lower probability of clinical pregnancy, in multivariate analysis 4.5 μs (and consequently 6.1 μm) was 7 folds associated with better clinical pregnancy compared to 8 μs.
Lipophilic Toxin Profile in Mytilus galloprovincialis from the North Atlantic Coast of Morocco: LC-MS/MS and Mouse Bioassay Analyses

Forthe Moroccan Phycotoxins Monitoring that is part of theSafety of theCoastal Monitoring Network(RSSL),shellfish sampleswereharvestedfromdifferentlocations at NorthAtlantic of Morocco whereharmful algaeblooms were known to have occurred. Forallshellfishsamples found positive by themouse bioassay fordiarrheicshellfishpoisoning(DSP)toxins,liquid chromatography coupled to tandem massspectrometry(LC-MS-MS) in order to search thefollowinglipophilictoxins: okadaic acid (OA), dinophysistoxins(DTXs), pectenotoxins(PTXs), azaspiracids(AZAs), yessotoxins(YTXs), spirolides(SPXs) and gymnodimines (GYMs). Theresultsrevealeddifferentlipophilictoxinprofiles as a function of theshellfish sampling location. It has beennoticed that allthesamples contained OA and its derivativesnamed dinophysistoxins(DTXs). In addition, other lipophilictoxinswerefound in shellfishsamples:(YTXs), and pectenotoxins(PTX-2, PTX-2-seco-acid and 7- epi-PTX-2-seco-acid) on theNorthAtlantic coast . This paper reports on thefirstdetection of YTXs,PTXsGYMs and their derivatives in Moroccan shellfish.
FORSCHUNG AN SYSTEMEN UND TECHNOLOGIEN FÜR WIEDERVERWENDBARE RAUMTRANSPORTSYSTEME IM DLR-PROJEKT AKIRA

In 2017 wurde im DLR das multidisziplinare Forschungsprojekt AKIRA gestartet. In AKIRA werden Systeme und Technologien fur wiederverwendbare Raumtransportsysteme theoretisch und experimentell untersucht und weiterentwickelt. Dieses Papier gibt einen Uberblick uber das Projekt und die dahinter stehende Motiva-tion. Weiterhin werden die einzelnen Teilarbeitsfelder des Projekts vorgestellt, und ihre jeweiligen Ziele sowie der aktuell erreichte Stand diskutiert.
PATHOGENICITY AND DEVELOPMENT OF ASPERGILLUS FLAVUS IN VARIOUS SPECIES OF TERMITES

A locally isolated strain of Aspergillus flavus was found highly pathogenic to Microcerotermes championi, Bifiditermes beesoni and Heterotermes indicola. Pathogenicity was first tested against the workers of M. championi by overhead culture method (exposure) and surface culture method (crawling). As there was no significant difference in the mortality rate of termites duly exposed to fungal culture for 10, 20 or 30 minutes; further experiments were carried out using only crawling method for the nymphs of B. beesoni and workers of H. indicola. Higher mortality of termites occurred when they crawled for a longer period. Histopathological studies showed that their mycelia branched into body cavity and attacked all the organs including the ganglion of nerve cord, when entry mode was through integuments. However, when the conidia entered through oral route, they were seen tapped by cytoplasmic masses and strands developing in the gizzard and gut of the termites were observable. The comparative data of LT50, LT90 and slope of regression line of various species of termites showed that M. championi was most susceptible to A. flavus than H. indicola and B. beesoni.
A New Species of Forstercooperia (Perissodactyla: Paraceratheriidae) from Northern China with a Systematic Revision of Forstercooperiines

ABSTRACT Forstercooperiines are a group of large, primitive rhinocerotoids that are commonly regarded as ancestral to later giant rhinos. However, the type genus of forstercooperiines, the Middle Eocene Forstercooperia, is one of the most poorly known rhinocerotoids, and is represented only by fragmentary material. Here we name a new species, Forstercooperia ulanshirehensis, based on five specimens, including a well-preserved cranium and a pair of complete mandibles. This new material was collected from the Ulan Shireh Formation in the western part of the Erlian Basin and the Irdin Manha Formation in the eastern part of the Erlian Basin, northern China. These specimens provide the most complete craniodental remains of Forstercooperia sensu stricto (excluding Pappaceras), and on this basis the species-level taxonomy of forstercooperiines is thoroughly revised and six species of two genera are considered as valid. Specimens previously assigned to “Forstercooperia minuta” are reassigned to different species based on the revised diagnoses. All equivocal specimens that were thought to have an affinity with Forstercooperiinae are briefly discussed. Based on a new character matrix, phylogenetic analyses fully resolve the relationships of early rhinocerotoids, including the recovery of Forstercooperia and Pappaceras as sister groups. The occurrence of Forstercooperia ulanshirehensis in the eastern and western Erlian Basin is indicative of age correlation between the lower part of the Ulan Shireh Formation and the Irdin Manha Formation.
Preference and Performance of the Water Lily Aphid (Rhopalosiphum Nymphaeae) among Native and Invasive Duckweeds (Lemnaceae)

Water lily aphids, Rhopalosiphum nymphaeae, are a polyphagous species of insect that feed on a variety of host plants including members of the Lemnaceae family. Many studies have focused on the relationship between herbivore preference and performance on different host plants, and as such the goal of this study was to determine if there is any relationship between host plant preference and performance of the water lily aphid on three different species of duckweed, including one invasive duckweed. Aphid preference was determined through a series of choice tests, which showed that the aphids preferred Spirodela polyrhiza over Landoltia punctata over Lemna minor. Water lily aphids also initially preferred the species they were reared on, even if it was not an overall preferred species, suggesting that familiarity plays a role in shaping host preference. To determine performance I measured offspring growth, reproduction and survival on all three species of duckweed. Aphids had the lowest performance levels on Lemna minor and the highest on Landoltia punctata and Spirodela polyrhiza. Aphids preferred and performed the best on the least nitrogen rich duckweed. INDEX WORDS: Host-plant preference, Offspring performance, Rhopalosiphum nymphaeae, Duckweed, Maternal effects
Dr. A.M.—A case of a modern mystic? Implications for psychology and medicine.

In this article we report some excerpts from the writings of Dr A.M., a healthy adult female, in relation to the knowledge she acquired during the regular mystical experiences she has been having since April 2014. This case is exceptional for multiple reasons. First, she experienced this particular state of consciousness without any associated medical or neurological illnesses. Second, these experiences did not harm her professional or personal life; rather, they had a positive impact on her life. Third, the knowledge she has been acquiring encompasses philosophical, religious and historical relevant aspects, the content of which extend far beyond her personal cultural and scientific knowledge.This rare case of a modern mystic challenges our traditional cultural and scientific ideas about the relationship between ordinary human mind activity and spirituality, and between our inner and outer worlds.
Investigating solvability and complexity of linear active networks by means of matroids

The solvability and complexity problems of finear active network are approached from a purely combinatorial point of view, using the concepts of matroid theory. Since the method is purely combinatorial, we take into account the network topology alone. Under this assumption necessary and sufficient conditions are given for the unique solvablity of linear active networks. The complexity and the number of dc-eigenfrequencies are also given. The method enables.you to decide if degeneracies are due to the topology alone, or if they are caused by special relations among network parameter values. If the network parameter values are taken into account, the complexity and number of dc-eigenfrequencies given by the method, are only upper and lower bounds, respectively. The above conditions are fairly easily checked, and the complexity and number of dc-elgenfrequencies are found, using polynomially bounded algorithms (matroid partition and intersection algorithms).
GUI Based Large Scale Image Search with SIFT Features

Any image consists of descriptive features that uniquely describes the characteristics of the image. The scale invariant feature transform descriptors(SIFT descriptors) are one such descriptors that will not change on resizing of image. The patches generated from scale invariant feature transform descriptors are all converted to unit length. The main concern in searching of image is matching. The visual vocabulary consists of collection of features and this can be clustered using the k means algorithm. The two main k means are approximate k means and hierarchical k means. The clustering helps in indexing of image features. More over the words represented as code word which is in binary form helps in minimizing the memory cost to a great extend.
Towards A Framework for Multilayer Computing of Survivability

The notion of survivability has an important position in today enterprise systems and critical functions. This notion has been defined in different ways. However, lacking a comprehensive and multilayer model for computing the survivability quantitatively, is the major gap happened in researches of this field; a model that is tally general and applicable in various applications. This research tries to design a comprehensive, multilayer as well as general model for modeling and computing the survivability. Considering that the Markov property is true in our proposed model, we used the Markov model. Using the proposed three layer architecture and designing a Markov structure, we could have been able to compute the survivability initially for each of infrastructure components separately and regardless of their functional dependency to each other. The computations were generalized to consider component dependencies as well as the upper layers entering dependencies in Markov model and could compute the survivability of each vital function for the highest architectural layer based on the underlying layers. Finally, a common and ordinary structure of crisis management has been studied and its results analyzed. We could examine the abilities of our model to compute the survivability of the whole crisis management system successfully.
GraphIA: an in-situ accelerator for large-scale graph processing

Graph processing is widely used in various domains, while processing large-scale graphs has always been memory-bound. In-situ processing is a promising solution to overcome the "memory wall" challenges in such memory-intensive applications. Previous accelerator designs for graph processing only focused on integrating more computing units inside memories or using more memory layers, rather than exploiting the huge parallelism lying in memory banks. In this paper, we present GraphIA, an In-situ Accelerator for large-scale graph processing based on DRAM technology. GraphIA couples large-capacity memory and computing resource in DRAM by connecting multiple chips with computation circuits inside. GraphIA chips are organized into a scaling ring interconnection, which is able to maximize the individual bandwidth with minimal connection overheads and scale to larger graphs by using more chips. Banks in DRAM are organized into heterogeneous edge and vertex banks, cooperating with customized peripheral circuits. Data duplication and scheduling schemes in heterogeneous banks are further introduced to overcome the performance loss caused by the irregular local and remote memory access in our multi-chip ring structure, achieving 1.63X and 1.16X speedup respectively. According to our extensive experiments, by adopting GraphIA design, our in-situ accelerator achieves 217X speedup CPU-DRAM designs.
Uncertainty and Exploration

In order to discover the most rewarding actions, agents must collect information about their environment, potentially foregoing reward. The optimal solution to this “explore-exploit” dilemma is often computationally challenging, but principled algorithmic approximations exist. These approximations utilize uncertainty about action values in different ways. Some random exploration algorithms scale the level of choice stochasticity with the level of uncertainty. Other directed exploration algorithms add a “bonus” to action values with high uncertainty. Random exploration algorithms are sensitive to total uncertainty across actions, whereas directed exploration algorithms are sensitive to relative uncertainty. This paper reports a multi-armed bandit experiment in which total and relative uncertainty were orthogonally manipulated. We found that humans employ both exploration strategies, and that these strategies are independently controlled by different uncertainty computations.
Attitudes towards environmental accountability in an emerging economy setting - evidence from India

Promoters of corporate Social and Environmental Accountability (SEA) should be conversant with stakeholders’ attitudes toward enhanced accountability. However, little is known about current attitudes, or their determinants. This study presents a survey of the attitudes of corporate managers across India towards 16 key contemporary environmental management issues. It sought to explore whether respondents from India, characterised by their level of development, differ in their attitudes, towards environmental management. Exploratory factor analysis of the items revealed four distinct environmental factors for Indian respondents. Results indicated that significant differences did exist among the respondents on 7 of the 16 questions raised. The findings indicate that Indian respondents were stronger in their support, and categorised several issues to be more important than other environmental factors.
Polymorphism of the ovine calpastatin gene in some Turkish sheep breeds

The calpastatin (CAST) gene has a major effect on muscle growth and meat tenderness after slaughter; it is located on the fifth chromosome in sheep. Blood samples were collected from 720 animals in total from Kivircik (KIV), Sakiz (SZ), Karacabey Merino (KM), and Gokceada (GA) sheep populations raised in West Anatolia. The PCR products were digested by the restriction endonuclease MspI. Allele frequencies for M and N alleles of the gene were found to be 0.85 and 0.15 in KIV, 0.80 and 0.20 in KM, 0.99 and 0.01 in GA, and 0.34 and 0.66 in SZ sheep, respectively. It was determined that NN genotype frequency was quite lower in KIV (0.04) and KM (0.07) populations than in the SZ breed (0.40). On the other hand, the NN genotype was not observed in the GA population. Populations other than KM were found to be in Hardy–Weinberg equilibrium. In general, allele and genotype frequencies of CAST were similar to those in other studies on different sheep populations. This research is a beginning step for finding candidate genes’ effects on meat quantity and quality.