Miracle-dz/UniFAR-FTUs huggingface dataset:
Future Parking Demand at Rail Stations in Klang Valley

Klang Valley, Malaysia is currently undergoing a massive development of rail transportation system expansion where the current integrated rail transit system will see new extensions of two MRT lines and an LRT line by year 2020. By year 2017, the first MRT line will be ready to run with 31 new rail stations connected to the current passenger rail network. The existing Park and Ride facilities in Klang Valley are commonly known as being unable to sufficiently cater for the current parking space demand. Therefore, with the expansion of many additional rail stations which are rapidly under construction, there are doubts that the future parking space at rail stations will be able to accommodate the sudden rise of rail passengers. Although the authorities are increasing parking bays at various locations, will the future parking demand at rail stations be sufficient? This paper studies the factors influencing parking demand in terms of population, car ownership, new car registrations and passenger rail ridership and estimating the future parking demand using Linear Regression method. Result shows that the forecasted parking demand at rail stations after the implementation of the first new MRT system in 2017 is 2.7 times more than in 2014.
Theory of mechanochemical patterning in biphasic biological tissues

Significance Pattern formation is a central question in developmental biology. Alan Turing proposed that this could be achieved by a diffusion-driven instability in a monophasic system consisting of two reacting chemicals. In this paper, we extend Turing’s work to a more realistic mechanochemical model of multicellular tissue, modeling also its biphasic and mechanical properties. Overcoming limitations of conventional reaction–diffusion models, we show that mechanochemical couplings between morphogen concentrations and extracellular fluid flows provide alternative, non-Turing, mechanisms by which tissues can form robust spatial patterns. The formation of self-organized patterns is key to the morphogenesis of multicellular organisms, although a comprehensive theory of biological pattern formation is still lacking. Here, we propose a minimal model combining tissue mechanics with morphogen turnover and transport to explore routes to patterning. Our active description couples morphogen reaction and diffusion, which impact cell differentiation and tissue mechanics, to a two-phase poroelastic rheology, where one tissue phase consists of a poroelastic cell network and the other one of a permeating extracellular fluid, which provides a feedback by actively transporting morphogens. While this model encompasses previous theories approximating tissues to inert monophasic media, such as Turing’s reaction–diffusion model, it overcomes some of their key limitations permitting pattern formation via any two-species biochemical kinetics due to mechanically induced cross-diffusion flows. Moreover, we describe a qualitatively different advection-driven Keller–Segel instability which allows for the formation of patterns with a single morphogen and whose fundamental mode pattern robustly scales with tissue size. We discuss the potential relevance of these findings for tissue morphogenesis.
Effect of moringa oleifera seeds on bacterial quality of Drinking water in rural communities of Ondo Southwestern, Nigeria

The physicochemical and bacteriological quality of drinking water in the rural communities of Ondo was examined and treated with the seeds of Moringa oleifera. The water samples were analyzed for some physicochemical parameters and pour plate technique was used to determine the presence of bacterial pathogens. Multiple tube fermentation technique was used for the determination of Most Probable Number, after which the water samples were treated with Moringa oleifera seeds for two hours. Bagbe and Uleon streams had unpleasant odour, while streams of Aba Titun, Otasan and Igburowo were odourless. All the water samples o o were within the temperature range of 26 C-27 C and pH range of 6.61-7.27, but were all turbid except the water from Aba Titun. The pathogens that were identified from the water samples include: Escherichia coli, Staphylococcus aureus, Bacillus subtilis, Serratia sp. and Salmonella sp. The treatment significantly reduced the turbidity by between 50 and 66%. The colony forming unit per milliliter of all the water samples exceeded the standard limit of 2 1.0×10 /ml for drinking water (WHO) but the treatment profoundly decreased the total viable count by between 54.3 and 96.2%. The total coliform count was also reduced by between 56.6 and 100%. The presence of bacterial pathogens in drinking is of public health concern as they may cause gastro-intestinal water borne diseases. Moringa oleifera seeds serve as a low cost, efficient and effective treatment for drinking water, especially for the rural communities, where there is poor access to potable water.
Detecting Communities in Social Networks through Modularity Maximization

Community structure in a network plays an important role in understanding its characteristics and functioning. In a social network, community structures represent closely knit groups of people, and are vital to understand and analyze the network as a whole. The network is described by a graph with nodes representing the entities and the edges representing connections between these entities. Very recent of community detection algorithms, is a method that relies on optimization of a parameter called modularity [1], which is an indication of the partition of a network into communities. Another significant article in this regard is [2] by Santo Fortunato and Marc Barth´elemy, which brings out that optimizing modularity on large networks fails to resolve small communities, even when they are well defined. In the present article, irregularities in the mathematical formulation of modularity are addressed and the author proposes an improvised procedure for community detection. The approach suggested is based on Modularity maximization but modified in the sense that the algorithm is applied in a recursive manner on the network until all sub-communities within the communities are identified. The improvised algorithm results in a better community structure with all distinct community structure
Energy Efficient Virtual Machine Migration in Cloud Data Centers

Cloud computing services have been on the rise over the past few decades, which has led to an increase in the number of data centers worldwide which increasingly consume more and more amount of energy for their operation, leading to high carbon dioxide emissions and also high operation costs. Cloud computing infrastructures are designed to support the accessibility and deployment of various service oriented applications by the users. The resources are the major source of the power consumption in data centers along with air conditioning and cooling equipment. Moreover the energy consumption in the cloud is proportional to the resource utilization and data centers are almost the worlds highest consumers of electricity. It is therefore, the need of the hour to devise efficient consolidation schemes for the cloud model to minimize energy and increase Return of Investment(ROI) for the users by decreasing the operating costs. The consolidation problem is NP-complete in nature, which requires heuristic techniques to get a sub-optimal solution. The complexity of the problem increases with increase in cloud infrastructure. We have proposed a new consolidation scheme for the virtual machines(VMs) by improving the host overload detection phase of the scheme. The resulting scheme is effective in reducing the energy and the level of Service Level Agreement(SLA) violations both, to a considerable extent. For testing the performance of our implementation on cloud we need a simulation environment that can provide us an environment with system and behavioural modelling of the actual cloud computing components, and can generate results that can help us in the analysis so that we can deploy them on actual clouds. CloudSim is one such simulation toolkit that allows us to test and analyse our allocation and selection algorithms. In this thesis we have used CloudSim version 3.0. 3 to test and analyse our policies and modifications in the current policies. The advantages of using CloudSim 3.0. 3 is that it takes very less effort and time to implement cloud-based application and we can test the performance of application services in heterogeneous Cloud environments. The observations are validated by simulating the experiment using the CLoudSim framework and the data provided by PlanetLab.
PRODUCTION ORGANIZATION, WORK ORGANIZATION AND KNOWLEDGE MANAGEMENT: A BLUE COLLAR PERSPECTIVE IN AN AUTOMAKER ASSEMBLY LINE

This paper aims to assess the organizational triad which is Production, Work and Knowledge. The importance of these organizational triad factors were assessed from the blue collar workers perspective. The research was conducted in an assembly line of an important Automaker installed in Brazil since the 90's. It was consistently concluded that the main factors for creating knowledge sharing context are: well understanding the objectives of management and workers, a clear definition of roles and responsibilities of the personnel involved in productive activities, good communication among those involved in the production, opportunities for their professional training and improvement, and financial incentives. These factors allow managers to promote a favourable context for knowledge sharing.
Characteristics of urbanization that influence bird communities in suburban remnant vegetation

In many landscapes subject to fragmentation, particularly through the process of urbanization, small remnants of original native vegetation surrounded by a highly modified matrix are often the only suitable habitat for most native species. Management of these small remnants may be the most feasible option for the conservation of regional avian biodiversity and urban-sensitive species. Remnant native vegetation may improve the complexity of urban vegetation, or provide regular habitat or stepping-stones for dispersal in an inhospitable matrix. External factors in the surrounding matrix, or internal constraints related to the size of the remnant may influence bird communities within remnant vegetation. Determining the relative influence between these factors should assist management of conditions that will help to retain urban-sensitive species. On the Central Coast of New South Wales, Australia, bird communities in remnant vegetation were surveyed to investigate the influence of internal and external factors on composition. The effect of housing density and vegetation type was investigated in relation to remnant size. The foraging behaviour of five insectivorous species (present in low numbers) in remnants surrounded by high-density housing was examined in relation to the vegetation structure. Bird movements across habitat edges were investigated at the interface between remnant vegetation and suburban housing. The proportion of crossings by guilds and individual species were compared between edges of high- and low-density housing. Bird communities of remnant vegetation were significantly influenced by the surrounding housing density. There was no interaction between remnant size and
Land Suitability and Farmer Perception on Maize Cultivation in Limboto Basin Gorontalo

Agropolitan program, leads by increasing maize production, has been promoted in Gorontalo. Such effort requires, among others, study on spatial land suitability. The objectives of this study were to determine land suitability for maize in Limboto Basin and to spatially present the quality of land units to the plant (maize) requirements. Farmer perception on maize cultivation is also generated. Standard field and laboratory procedures have been performed to characterize land suitability for maize. Besides, geographical information system has been employed to delineated the spatial availability. Among 35,594 ha evaluated area in Limboto Basin Gorontalo, 21,233 ha is categorized as fairly suitable for maize while 14,361 ha is classified as marginally suitable for maize. Majority of the observed farmers were in favor to cultivate maize on their farmland.
Argumentative Ranking

There are situations where the information we need to retrieve from a set of documents is expressed in the form of arguments. Recent advances in argumentation mining pave the way for a new type of ranking that addresses such situations and can positively reduce the set of documents one needs to access in order to obtain a satisfactory overview of a given topic. We define and implement a proof-ofconcept argumentative ranking prototype, to find that the results it provides can significantly differ from, and possibly improve, those returned by an argumentation-agnostic search engine.
A ROBUST METHOD FOR ESTIMATING TWO-VIEW GEOMETRY

This paper proposes a new method for robustly estimating two-view geometry from point correspondences based on a maximum likelihood formulation. Taking advantage of the interdependence between inliers and image geometry, we associate each point correspondence with a latent variable indicating whether it is an inlier, and then alternately estimate this latent variable and recover the image geometry under an EM framework. The image geometry could be successfully recovered after the EM converges. The quantitative results on benchmark dataset demonstrate that our method is superior to previous approach such as RANSAC. Moreover, the proposed method is efficient, which has linear time complexity in the scale of point correspondences at EM each iteration.
Prospective Science Teachers’ Alternative Conceptions about the Chemistry Issues

The aim of this study is to determine alternative conceptions of prospective science teachers about the concepts of “Evaporation and Boiling”, “Acid-Base Neutralization Reactions”, “Dissolution and Factors Affecting Solubility”, “Gas Laws”, “Factors Affecting Reaction Rate” and “Electrochemical Cells”. The sample of the study conducted according to a case study consisted of 97 third-year students enrolled in Department of Science Teaching Programme in Faculty of Education in Giresun University. As the data collection tool, twotier Chemistry Concept Tests (CCTs) developed by Karslı (2011) was used in this study. The results obtained from CCTs’ data indicated that the prospective science teachers have various alternative conceptions about the chemistry concepts also reported in the literature and not mentioned in the literature. Within this research, possible causes of the alternative concepts determined in this study discussed, and some recommendations are presented for the elimination of these alternative concepts.
ASPECTS OF VOLUMETRIC EFFICIENCY MEASUREMENT FOR RECIPROCATING ENGINES

The volumetric efficiency significantly influences engine output. Both design and dimensions of an intake and exhaust system have large impact on volumetric efficiency. Experimental equipment for measuring of airflow through the engine, which is placed in the intake system, may affect the results of measurements and distort the real picture of the impact of individual structural factors. This paper deals with the problems of experimental determination of intake airflow using orifice plates and the influence of orifice plate diameter on the results of the measurements. The problems of airflow measurements through a multi-process Otto/Diesel engine were analyzed. An original method for determining volumetric efficiency was developed based on in-cylinder pressure measurement during motored operation, and appropriate calibration of the experimental procedure was performed. Good correlation between the results of application of the original method for determination of volumetric efficiency and the results of theoretical model used in research of influence of the intake pipe length on volumetric efficiency was determined. [Acknowledgments. The paper is the result of the research within the project TR 35041 financed by the Ministry of Science and Technological Development of the Republic of Serbia]
PELATIHAN PEMBUATAN JAMU INSTAN SEBAGAI DIVERSIFIKASI PRODUK PENGRAJIN JAMU DI KAMPUNG PEJABAT KELURAHAN LOKTABAT SELATAN BANJARBARU

Kelurahan Loktabat Selatan merupakan daerah yang terkenal dengan penjual jamu gendong. Persentase pertumbuhan jamu dari tahun ke tahun meningkat dan berada di atas rata-rata pertumbuhan obat modern. Beberapa alasan yang mendasari pemilihan jamu sebagai alternatif pengobatan diantaranya adalah diyakini lebih aman dan minim efek samping. Tujuan dari pengabdian masyarakat ini adalah untuk meningkatkan pendapatan pengrajin jamu di kelurahan Loktabat Selatan. Pentingnya pengabdian masyarakat ini karena pada awalnya pengrajin jamu hanya menjual jamu segar (jamu gendong) yang nilai jual relatif rendah. Oleh karena itu, perlu dilakukan pelatihan pembuatan jamu instan sebagai diversifikasi produk pengrajin jamu, Pelaksanaan pengabdian diawali dengan sosialisasi dan penyuluhan tentang jamu instan, kemudian dilakukan praktek pembuatan jamu instan. Hasil yang diperoleh dari pengabdian masyarakat adalah pengrajin jamu mampu memproduksi jamu instan secara mandiri sebagai diversifikasi produk dan diharapkan dapat meningkatkan pendapatan. Kata kunci: Pelatihan, Jamu Instan, Diversifikasi Produk, Kampung Pejabat
Sensorimotor Distractions When Learning with Mobile Phones On-the-Move.

This paper presents a discussion on potential conflicts originated by sensorimotor distractions when learning with mobile phones on-the-move. While research in mobile learning points to the possibility of everywhere, all the time learning; research in the area suggests that tasks performed while on-the-move predominantly require low cognitive processing. This work uses Bloom’s taxonomy to identify low and high order thinking activities associated to the functionalities of a mobile phone. It also provides preliminary results from a survey identifying correlations between high and low cognitive processing tasks and locations involving users’ sensorimotor engagement.
Some characterizations of partial exchangeability

Abstract Kallenberg [2] introduced the concept of F-exchangeable sequences of random variables and produced some characterizations of F-exchangeability in terms of stopping times. In this paper ways of extending the concept of F-exchangeability to doubly indexed arrays of random variables are explored and some characterizations obtained for row and column exchangebale arrays, weakly exchangeable arrays and separately exchangeable continuous processes.
AN ASSESSMENT OF MICROFINANCE INSTITUTION PERFORMANCE: The Importance of Institutional Environment

This paper aims to assess the performance of Village Credit Institutions (Lembaga Perkreditan Desa or LPD) in Gianyar district, Bali province, Indonesia and its affecting factors –particularly its institutional environment. The performance indicators assessed include financial indicators (such as portfolio quality, leverage, capital adequacy ratio, productivity, efficiency, profitability, and financial viability) and outreach of the LPDs. Institutions here refer to the rules or procedures that shape how agents (people) interact and the organizations that implement the rules and codes of conduct to achieve desired outcomes. Based on data from financial reports of 174 LPDs of Gianyar district in 1999 and 2001, interviews with some stakeholders (clients, chairmen, and member of commissioner board) of the LPDs, and using descriptive analysis approach, this paper reveals that the LPDs have achieved a good performance indicators and been sustainable, and the good performance and sustainability have been very much influenced by institutional environment which includes both formal and informal institutions.
Subsection Optimization Method Research of Slotted Screen Liner Parameters for Horizontal Wells

The slotted screen liner parameters are the same along the whole horizontal wellbore for most slotted Screen Liner completion of horizontal well, it will lead to water prematurely appears and the high water cut in high permeability area, so the research of subsection optimization for slotted screen liner parameters of horizontal well is important, which can adjust the inflow profile along the whole horizontal wellbore to enhance oil recovery, stabilize oil production and control water cut. Based on the skin factor model of slotted screen liner and the inflow control principle of horizontal wellbore, a subsection optimization model for slotted parameters of horizontal wells in heterogeneous reservoirs is established, and the subsection optimization design of horizontal well slotting parameters in heterogeneous reservoirs is realized by genetic optimization algorithm.
The role of soil pH in linking groundwater flow and plant species density in boreal forest landscapes

In hilly boreal landscapes topography governs groundwater flow which strongly influences soil development, and thus vegetation composition. Soil pH is known to correlate well with plant species density and composition, but in boreal forests this relationship has been little studied. Previously, we successfully used a topography-based hydrological index, the topographical wetness index (TWI), as an approximation of the variation in groundwater flow to predict local plant species density in a boreal forest landscape. Data on species indicator values demonstrated that soil pH can be an important soil variable linking groundwater flow and plant species density. In the present paper we explore this link by relating measured soil pH to species numbers of vascular plants and TWI in 200-m2 plots within two boreal forest landscapes, differing in average soil pH. The two landscapes showed almost identical relationships between plant species number and soil pH, implying that this relationship is robust. The landscapes also had similar relationships between soil pH and TWI as well as between plant species number and TWI except at high TWI values, which indicate groundwater discharge areas. In these areas soil pH and plant species numbers were higher in the high-pH landscape at any given TWI value. We conclude that for predictive mapping of the species density of vascular plants in boreal forests, soil pH is a major factor. However, TWI as a measure of groundwater flow is a practical alternative predictor.
Estimation of longitudinal muscle motion using a primal-dual algorithm

Ultrasonography is a convenient and widely-used technique to view the longitudinal muscle motion as it is non-invasive and real-time. However, the estimation of longitudinal muscle motion, in sense of dense deformation field, was paid little attention to previously. In this report a primal-dual algorithm was used to estimate the motion of gastrocnemius muscle (GM) in longitudinal direction. Then a color encoding scheme and the mean velocities (mm/s) of frame-wise motion field were adopted to show the synchronous activities. The preliminary results, on 600 frames of ultrasound muscle images in motion, demonstrated that the proposed estimation method are helpful to study of the contraction of muscle in longitudinal direction, providing motion details both spatially and temporally.
P versus NP

The term P, or polynomial time, refers to the class of (decisional) problems that can be efficiently solved by an algorithm. NP, for nondeterministic polynomial time, is the class of (decisional) problems for which “solutions” or certificates are efficiently verifiable. Therefore the question of whether P is equal to NP means whether solving is harder than verifying. Yet in other words, we want to know whether there is always an efficient alternative to brute force search. Formal definitions will be given in the next section.