Miracle-dz/UniFAR-FTUs huggingface dataset:
Using Computers to Enhance Action Research

This paper outlines the potential benefits of using computers to enhance the action research process for classroom teachers. An argument is made for classifying action research as a type of qualitative methodology. This argument is then used to apply the literature on computer use in qualitative research to its use in action research; advantages of computers for data collection/analysis and validity are summarized. Specific applications of various types of software are discussed in terms of their potential for supporting and strengthening action research efforts, including the use of CAQDAS (Computer Assisted Qualitative Data Analysis Software) for coding and search/retrieval, as well as the increased potential for communication offered by developments in technology. (Contains 12 references.) (MES) Reproductions supplied by EDRS are the best that can be made from the original document. 1 PERMISSION TO REPRODUCE AND DISSEMINATE THIS MATERIAL HAS BEEN GRANTED BY
Nighttime Pedestrian Detection Using Local Oriented Shape Context Descriptor

In this paper, we propose a novel feature based on local oriented shape context (LOSC) descriptor for nighttime pedestrian detection. Shape context descriptor is widely used in object recognition but not making a good performance in complex situations because it does not consider the edge's orientation. To address this limitation, our method adds orientation information to the shape context descriptor. We first compute the image gradient in nine directions and then extract shape context descriptor in each direction. Finally we put the feature vector to linear SVM for training. We tested this descriptor's performance on our nighttime pedestrian samples captured by normal night-vision camera. The experiment results show that our method achieved high detection rate and had fewer dimensions than the HOG descriptor.
Estimating Ads’ Click through Rate with Recurrent Neural Network

With the development of the Internet, online advertising spreads across every corner of the world, the ads' click through rate (CTR) estimation is an important method to improve the online advertising revenue. Compared with the linear model, the nonlinear models can study much more complex relationships between a large number of nonlinear characteristics, so as to improve the accuracy of the estimation of the ads’ CTR. The recurrent neural network (RNN) based on Long-Short Term Memory (LSTM) is an improved model of the feedback neural network with ring structure. The model overcomes the problem of the gradient of the general RNN. Experiments show that the RNN based on LSTM exceeds the linear models, and it can effectively improve the estimation effect of the ads’ click through rate.
Summarization for Indonesian Article Using Vector Space Model

In a scientific work, an abstract always contains main information of an article including at least a researched problem, aim(s), methodology, and result of the study. Writing an abstract requires a conscientious analysis since the contents would affect both the readers’ interestedness and disinterestedness on a particular or overall research topic. However, people generally write manually by summarizing the article. The aim of this study is constructing automation for summarizing Indonesian articles as an alternative approach to an abstract. This is involving two methods to summarize an article. A Term Frequency-inverse Document Frequency is used to get a keyword and weight terms, and a Vector Space Model is utilized to represent abstract text into a vector that used to identify the linkage of documents. From this method, the result of the summary can be generated from documents. Supporting this research, we used several journal articles written by a manual abstract. The results of this application show that the automatic summarization produces a paragraph which consists of more than three same sentences constantly as compared to manual paragraphing.
A PERFECT REALISTIC-BASED SERVICE TO HEALTH-SEEKERS

The very first globally mines the discriminate medical signatures from raw features. The 2nd deems the raw features as well as their signatures as input nodes in a single layer and hidden nodes within the subsequent layer, correspondingly. Within this paper, we first report a person study the data needs of health seekers when it comes to questions after which select individuals that request possible illnesses of the manifested signs and symptoms for more analytic. We next propose a manuscript deep learning plan to infer the potential illnesses because of the questions of health seekers. The suggested plan is composed of two critical factors. Automatic disease inference is worth focusing on to bridge the space between what online health seekers with unusual signs and symptoms need and just what busy human doctors with biased expertise can provide. However, precisely and efficiently inferring illnesses is non-trivial, specifically for community-based health services because of the vocabulary gap, incomplete information, correlated medical concepts, and limited top quality training samples. Meanwhile, it learns the inter-relations between both of these layers via pre-training with pseudo-labeled data. Overall, rid of it fits specific tasks with fine-tuning. With incremental and alternative repeating of the components, our plan builds a sparsely connected deep architecture with three hidden layers. After that, the hidden nodes function as raw features for that more abstract signature mining.
Simulation approach to study the behavior of a milling machine's structure during end milling operation

This paper presents an integrated simulation system that is employed in order to evaluate the static and dynamic performance of a milling machine. The paper discusses the design consideration of the evaluation system, creates the system based on finite element technique, applies it to a case study, and discusses the results. Obtaining such a reliable model could replace many experimental tests that must otherwise be carried out each time the parameters affecting cutting conditions are changed. Modeling and meshing of various machine elements including the mechanical structure are carried out, contacts between each adjacent elements are defined, load components generated from machining process are modeled, and finally the static and dynamic performance of the entire machine is evaluated. The machine performance is identified in terms of static loop stiffness in both x and y directions, mode shapes, and frequency response function at tool center point.
The origin of Brettanomyces bruxellensis in wines: a review

Aims: This work reviews the latest knowledge concerning the role of Brettanomyces bruxellensis in red wine alteration.Results and conclusion: The origin of this yeast species and its place in the wine microbial consortium are discussed as well as microbial equilibriums with the other species, notably Saccharomyces cerevisiae and lactic acid bacteria. As a consequence, fermentations are described as key steps in Brettanomyces development management. Furthermore, the influence of ageing through the use of traditional winemaking practices is explained.Significance and impact of study: Finally, this paper emphases the need for a better understanding of chemical and microbial analysis together in order to better control this undesirable yeast and prevent the production of volatile phenols.
Enhancing the teaching-research nexus in the undergraduate curriculum through assessment

Successful linkages between teaching and research in the undergraduate curriculum are strongly dependent on academics’ ability to encourage and facilitate an inquiry based approach to learning. An assessment strategy in which students become active participants in the assessment process is crucial to facilitate the development of this inquiry based approach. Developing this so-called research-mindedness is central to helping students' to become independent learners and to be more effective professionals in their future careers. This paper describes a distributed systems approach to assessment implemented in the undergraduate module Molecular Biology. The assessment comprised a series of sequence identification, database use and analysis steps, with each student being given a different starting gene. In combination, the students analysed an entire genetic pathway. This approach allows the assignments generated to be combined and used to address a single larger question, which can be either teaching or research based. This is then fed back into the teaching. This direct link between the assessment outcomes and the learning process increases student engagement with the subject and sense of ownership of the work carried out. This approach to assessment, in which students undertake a small part of a larger task, is ideal for various technical, skills-based, assignments, such as those central to the many types of bioinformatics analyses. However, it can be adapted to various types of meta-review. The paper discusses the details for the implementation, as well as the benefits and potential pitfalls of the approach.
Phylogenetic information of freshwater copepod (Diaptomus sicilis) with special reference to 18S rRNA

In the present investigation to isolate freshwater calanoid copepods ( Diaptomus sicilis ) was characterized and identify the organisms by 18S rRNA sequencing. Plankton samples containing D. sicilis were collected during January 2014 (Post-monsoon) from Madippakkam Lake (12°57'41"N80°11'27"E) Chennai, Tamil Nadu. Immediately after sampling, specimens for genetic analyses were fixed in 95% ethyl alcohol. The total DNA was extracted from the individual copepod D. sicilis using Qiagen Blood tissue kit. The nuclear small subunit 18S rRNA gene was amplified using the Universal primer LCO —1490 (5’-GGTCAACAAATCATAAAGATATTGG-3’) and HCO-2198 (5’-TAAACTTCAGGGTGACCAAAAAATCA-3’). PCR products were loaded onto a 1% TAE agarose gel. Sequences were carried out an automated sequencer. The nucleotide sequence of 1282 base pair region of 18S rRNA was determined for D. sicilis. The similarity of sequences of D. sicilis was retrieved by BLASTn pro­gram and maximum identity and E-value was 76% and 0.00, respectively. The PCR products of D. sicilis individuals showed 80% similarity with the partial nuclear small subunit 18S rRNA gene region of other calanoid copepods. Based on molecular data the freshwater Calanoid copepods showed different algorithms and similar types of topologies useful for designing molecular analyses using phylogeny tree construction.Present molecular stud­ies on the relationship of D. sicilis with other freshwater calanoid copepods indicate that this species is close to D. castor followed by D. keniraensis .
Kobe University Repository : Kernel タイトル Tit le Asymptot ic behavior of viscosity solut ions for a degenerate parabolic equat ion associated with the infinity-Laplacian 著者

The asymptotic behavior of viscosity solutions to the CauchyDirichlet problem for the degenerate parabolic equation ut = ∆∞u in Ω× (0,∞), where ∆∞ stands for the so-called infinity-Laplacian, is studied in three cases: (i) Ω = RN and the initial data has a compact support; (ii) Ω is bounded and the boundary condition is zero; (iii) Ω is bounded and the boundary condition is non-zero. Our method of proof is based on the comparison principle and barrier function arguments. Explicit representations of separable type and self-similar type of solutions are also established. Moreover, in case (iii), we propose another type of barrier function deeply related to a solution of ∆∞φ = 0. ∗Department of Machinery and Control Systems, College of Systems Engineering, Shibaura Institute of Technology, 307 Fukasaku, Minuma-ku, Saitama-shi, Saitama 3378570, Japan (e-mail: g-akagi@sic.shibaura-it.ac.jp), Supported in part by the Shibaura Institute of Technology grant for Project Research (No. 211459), and the Grant-in-Aid for Young Scientists (B) (No. 19740073), Ministry of Education, Culture, Sports, Science and Technology. †Department of Mathematics and Statistics, University of Jyväskylä, P.O. Box 35, FIN40014, Finland (e-mail: petri.juutinen@maths.jyu.fi). Supported by the Academy of Finland project 108374. ‡Nagasaki Institute of Applied Science, 536 Aba-machi, Nagasaki 851-0193, Japan (email: kajikiya ryuji@nias.ac.jp), Supported in part by the Grant-in-Aid for Scientific Research (C) (No. 16540179), Ministry of Education, Culture, Sports, Science and Technology.
OSS: Optimized Superpixel Segmentation

-Optimized superpixel segmentation is an approach using lazy random walk and an energy optimization algorithm. The first step is to initializing the seed positions and runs the lazy random walk algorithm on the input to obtain the probabilities of each pixel. The initial superpixels are iteratively optimized by the new optimization function, which is defined based on the texture measurement LBP. Lazy random walk algorithm has the advantage of segmenting the weak boundaries and complicated texture regions by the global probability maps. The superpixel performance is improved by relocating the seed positions of superpixels and splitting the large superpixels into small ones with the optimization algorithm and for foreground object separation use combination of these two methods.
Extending the Self-Organizing Maps Algorithm with Using Gaussian Kernel

SOM algorithm is used for high dimensional data visualization. In other words, this algorithm has map high dimensional data to low dimensions space. However, basic SOM algorithm due to using Euclidean distance has bugs in resolving real issues. Paper main aim is the extension of SOM algorithm. For this purpose in Euclidean distance calculation phase, Gaussian kernel used. For measure the accuracy and quality of clustering, F1 measure is used. With examination results as observed, Kernel SOM algorithm have higher F1 than the basic SOM algorithm.
Concurrent estimation of space and frequency variation for dielectrics: a microwave tomography system for process sensing applications

In many powder processing operations, the effective complex permittivity of the material under processing yields important information concerning the state of the process. This complex permittivity varies in general with respect to both space and frequency. For an accurate estimation of the process material parameters, it is important to be able to incorporate these dependencies in the estimation algorithm. Here, we present a rather general type of parameterization that is tailored for this type of situation. The parameterization is described in terms of a parameterization mesh, which makes it feasible to refine the computational mesh without influencing the number of degrees of freedom in the estimation problem. A test case demonstrates that our approach can yield accurate reconstructions.
Accuracy Enhancement for Precision Angle Measuring Structures

Producing high-quality optical limbs, circular scales, rasters, multibit code disks (key metrological elements hereinafter called “angle measuring structures” (AMS) is an important engineering problem for any manufacturer, making angle measuring gauges. The analysis of the precision parameters of the AMS that were made by the method of circular scanning has revealed that the distorted circular trajectory of the recording laser beam moving across the surface of a semimanufactured article to be the main source of errors in the AMS produced. The main reason causing the distortion has been the rotor imbalance in the spindle unit of the laser generator of images. The article offers solutions for accuracy enhancement in manufacturing precision angle measuring structures. It also describes error estimation process in the raster, manufactured upon implementing the solutions offered.
Evolution of diploid chromosome number, sex‐determining systems, and heterochromatin in Western Mediterranean and Canarian species of the genus Pimelia (Coleoptera: Tenebrionidae)

A compilation of the diploid chromosome numbers and karyotype formulae of 30 species of the genus Pimelia from Morocco, Iberian Peninsula, Balearic and Canary Islands is presented. All species showa conservation of diploid numbers and karyotype formulae 2n ¼ 18 (8 + Xyp) except for Pimelia cribra, Pimelia elevata, and Pimelia interjecta 2n ¼ 20 (9 + Xyp) and Pimelia sparsa sparsa 2n ¼ 18 (8 + neoXY). The ancestral state for the genus Pimelia is suggested to be 2n ¼ 18 (8 + Xyp) in accordance with a previously described phylogeny of these species based on mitochondrial and nuclear DNA. The derived state 2n ¼ 20 (9 + Xyp) is present in a monophyletic clade, which originated about 2.5–5 Mya. The male meiotic formula 8 + neoXY found in P. sparsa sparsa seems to have originated by the reorganization of the Xyp pair resulting in two homomorphic sexual chromosomes and the lost of most of the heterochromatin from the former X chromosome. In all chromosomes C-banding revealed conspicuous pericentromeric heterochromatic blocks, except in the Y chromosome in most of the species, and in situ hybridization of satellite DNA probes revealed the correspondence between heterochromatin and satellite DNA. Finally, the possible role of heterochromatin and satellite DNA is discussed in relation to the uniformity of the Tenebrionidae a-karyology.
An Improved K-modes Clustering Algorithm Based on Intra-cluster and Inter-cluster Dissimilarity Measure

Categorical data clustering has attracted much attentions recently because most practical data contains categorical attributes. The k-modes algorithm, as the extension of the k-means algorithm, is one of the most widely used clustering algorithms for categorical data. In this paper, we firstly analyzed the limitations of two existing dissimilarity measures. Based on this, we proposed a novel dissimilarity measure--IID. IID considers the relationship between the object and all clusters as well as that within clusters. Finally the experiments are made on six benchmark data sets from UCI. And the corresponding results show that IID achieves better performance than two existing ones used in k-modes and KBGRD algorithms.
The effects of competition and regulation on quality in physiotherapy

Pekola P. The effects of competition and regulation on quality in physiotherapy. Helsinki: The Social Insurance Institution of Finland, Studies in social security and health 148, 2018. 132 pp. ISBN 978-952-284-033-2 (print), 978-952-284-034-9 (pdf). In health care, different market mechanisms have become more common in many countries. Competition is believed to increase quality, especially when prices are fixed and patients have a free choice of providers. Intuition dictates that when patients have more choice among providers, demand will be more responsive to quality and firms will only be able to increase revenue by rais­ ing quality. Previous literature on quality competition is mainly from the United Kingdom and the United States, and research has focused primarily on hospital markets. The aim of this study was to evaluate the effect competition and regulation have on quality in physiotherapy for disabled individuals organised and financed by the Social Insurance Institution of Finland (Kela). Thus, with this thesis it is possible to expand the literature into rehabilitation, such as physiotherapy, which has previously drawn only little at­ tention. Kela generally uses competitive bidding in its effort to or­ ganise physiotherapy. When firms participate in tendering, they define both prices and quality in their tenders, and Kela scores these elements. In addition to organising competitive bidding, Kela has piloted fixed-price service vouchers during the contract period 2011–2014. In this system, where patients had a free choice of providers, only firms able to attract patients turned in revenue. Patient deductibles were not collected. A previous change in pro­ curement altered the competitive environment of the firms. Thus, the change in the system most likely had an impact on the firms’ incentives regarding quality investments. This thesis shows that when quality was measured as firms’ quality investments, com­ petition had a negative effect on quality despite the procurement mechanism and the pricing.
SOIL-WATER CHEMISTRY CHANGES AFTER SLASHING AND BURNING OF A "TERRA FIRME" FOREST PARCEL IN ALTA FLORESTA, MATO GROSSO, BRAZIL IN SOUTHERN AMAZON

1-Instituto Nacional de Pesquisas Espaciais (INPE) DMA/CPTEC, C. P. 515, CEP: 12245-970, São José dos Campos,SP, Brasil 2-Universidade Estadual Paulista (UNESP), Departamento de Energia, Guaratinguetá, SP, Brasil 3-University of Washington, Seattle, WA, USA 4-USDA Forest Service, Corvallis, OR, USA 5-Instituto Nacional de Pesquisas Espaciais (INPE) LCP, Cachoeira Paulista, SP, Brasil. E-mail: *forti@cptec.inpe. br
Determination of LD50 of ethyl methanesulfonate (EMS) for induction of mutations in rapeseed-mustard

Mutation breeding is an effective way to enrich genetic variability in crop plants. There are two basic means, physical and chemical mutagens for inducing mutations. Among chemical mutagens, the alkylating agent, ethyl methanesulfonate (EMS) is the most commonly used mutagen in plants as it causes a high frequency of nucleotide substitutions i.e. point mutations. Hence, an optimum dose is highly desired to produce the high frequency of mutations with minimum killing of treated individuals. Therefore, the present investigation was undertaken to determine the LD50 of EMS and effect of different dosages of EMS on seed germination of two Indian mustard varieties (viz. RH-749 and NRCHB-101) and one of its important wild relative Sinapis alba. Results revealed the significant effects of EMS dosages and treatment periods on seed germination. The EMS doses (LD50) at 0.42%, 0.73% and 0.3% for duration of 12 h were found to be optimum for Indian mustard varieties (RH-749, NRCDR-101) and S. alba respectively. The LD50 of EMS for Brassica juncea was higher than the S. alba and it also varied for two varieties of B. juncea. This information would be highly useful for initiating mutation breeding programme in rapeseed-mustard crops.
Experimental Study on Impact Loads Acting on Free-falling Modified Wigley

The characteristics of an impact load and pressure were experimentally investigated. Drop tests were carried out using a modified Wigley with CB = 0.56. The vertical force, pressures, and vertical accelerations were measured. A 6-component load cell was used to measure the forces, piezo-electric sensors were used to capture the impact pressure, and strain-gauge type accelerometers were used to measure the vertical accelerations. A 50-kHz sampling rate was applied to capture the peak values. The repeatability of the measured data was confirmed and the basic characteristics of the impact load and pressure such as the linearity to the falling height were observed for all of the measurements. A simple formula was derived to extract the physical impact load from the measured force based on a simple mass-sensor-mass diagram, which was validated by comparing impact forces with existing data using the mathematical model of Faltinsen and Chezhian (2005). The effects of the elasticity of the model and change in acceleration during the water entry were investigated. It is interesting to observe that the impact loads occurred and reached peak values at the same time duration after water entry for all drop heights.