Miracle-dz/UniFAR-FTUs huggingface dataset:
Possibility of cost reduction by mutant clustering according to the clustering scope

Mutation testing offers developers a good way to improve the quality of a test set. However, the high cost of executing a large number of mutants remains an issue. This paper examines the possibility of reducing the cost of statement‐level mutant clustering by comparing the number of mutant executions with those of expression‐level and block‐level mutant clustering. The goal is to investigate to what extent the clustering scope should be extended. The experimental results using nine real‐world programs show that statement‐level clustering can reduce the mutant executions that are required by expression‐level clustering by 10.51% on average. Block‐level clustering exhibits an unexpected result; the number of mutant executions with block‐level clustering is only 1.06% times less than that with statement‐level clustering. That is, statement‐level clustering is more cost‐effective than block‐level clustering when considering their clustering overheads. A compound expression plays a major role in providing a cost‐reduction effect in statement‐level clustering. With a compound expression, the number of candidate mutants to be clustered in a statement scope increases, and state change can be comprehensively examined, thereby increasing the possibility of cost reduction. © 2018 John Wiley & Sons, Ltd.
Deployment and topology of a wireless sensor network for precision viticulture

Precision viticulture is a specialization of precision agriculture techniques applied to viticulture. Precision agriculture is the use of information system technologies applied to agricultural production. Some of the applicable technologies are; Wireless Sensor Networks (WSN), Global Positioning Systems (GPS), spectroscopy analysis of Near-Infrared (NIR), Geographic Information Systems (GIS). These systems provide means of observation, evaluation and control of agricultural activities. The farmers demand assistant systems to perform actions for saving time and avoiding risks. There are studies of maps crops and mesh-sampling techniques to predict the harvest volume in a vineyard with a certain varieties of grapes. The prediction is based on a previous study of crops over a period of three to four years. Along these three or four years a large volume of samples is taken to study several parameters. In this application area is where the wireless sensor networks technologies would have high incidence. In this context we intend to analyse, at first place, the specific characteristics of the operational environment of a vineyard. Second, we will analyse the most appropriate architecture for a sensor network in this environment. Application of wireless sensor networks technology can take many forms depending of environment, and implementation objectives. In this paper we discuss about the best procedure for deployment and the optimal topology of a wireless sensor network for viticulture.
Infertility Performance of outpatient transvaginal hydrolaparoscopy

R. Coenders-Tros1,*, M.A. van Kessel2, M.M.A. Vernooij3, G.J.E. Oosterhuis3, W.K. H. Kuchenbecker4, B.W. J. Mol5,6, and C.A.M. Koks7 Department of Obstetrics & Gynecology, VU Medical Centre, Amsterdam, The Netherlands Department of Obstetrics & Gynecology, University Medical Centre Groningen, Groningen, The Netherlands Department of Obstetrics & Gynecology, St. Antonius Hospital, Nieuwegein, The Netherlands Fertility Centre, Isala Clinics, Zwolle, The Netherlands The Robinson Research Institute, School of Paediatrics and Reproductive Health, University of Adelaide, Adelaide, Australia The South Australian Health and Medical Research Institute, Adelaide, Australia Department of Obstetrics & Gynecology, Maxima Medisch Centre, Veldhoven, The Netherlands
Derivation of separation distance for LTE-M protection from HIBS interference signal

Recently, standardization and regulations for mobile communication services using high-altitude platforms have been actively underway. Transmitted signals at high altitudes may have a wider service coverage area, but it means that they cause interference to a wider area. In this paper, we proposed the analysis method to evaluate the effect of interference on Korean LTE for Maritime (LTE-M) by High-altitude platform stations as International Mobile Telecommunications (IMT) Base Station (HIBS) systems in Japan using 700 MHz frequency band. And the separation distance was derived for the protection of LTE-M downlink from HIBS interference signal.
Tropospheric BrO column densities in the Arctic from satellite : retrieval and comparison to ground-based measurements

Tropospheric BrO column densities in the Arctic from satellite: retrieval and comparison to ground-based measurements H. Sihler, U. Platt, S. Beirle, T. Marbach, S. Kühl, S. Dörner, J. Verschaeve, U. Frieß, D. Pöhler, L. Vogel, R. Sander, and T. Wagner Max Planck Institute for Chemistry, Hahn-Meitner-Weg 1, 55128 Mainz, Germany Institute of Environmental Physics, University of Heidelberg, Im Neuenheimer Feld 229, 69120 Heidelberg, Germany EUMETSAT, Eumetsat Allee 1, 64295 Darmstadt, Germany Norwegian Geotechnical Institute, Sognsveien 72, 0855 Oslo, Norway
Hello Messaging based Aodv Routing Protocol and Its Simulation

Routing is the method, which is used to maintain, the wireless communication of ad-hoc network. It has various discoveries and different paths between every node within a network. The process of preparing Routing table itself is called Routing. Routing uses the concept of switching. In switching an incoming packet is transferred to destination using MAC address. It is done within the network. The efficiency of a dynamic ad-hoc routing protocols is mainly based on the changes in network topology. The transmission via wireless medium increase the security of message transmission. It prevents the unauthorized access and provides security and offers authentication and access-control to the transmission of Messages. The, increasing day-by-day use of wireless media has reduced the works of humans and their access to the wireless devices. As, everything has its Merits and Demerits the, wireless media also have both Merits and Demerits, the disadvantage as included minimizing size and cost security and loss, mobility signal fading etc. In this paper, we adaptively optimize the performance of AODV protocol using simulation results. The proposed fuzzy algorithm used to model the uncertainty measurements for updating local connectivity successfully in time and provide an overview of the Research Issues and Challenges in wireless networks and wireless network performance.
Transliminality , “ Thin ” Boundaries and Aura Vision As A Non-Pathological Anomalous Experience

According to occult/esoteric literatures, and some New Age thinkers identify the aura as fields which around all living. However, a psychological examination shows that people who reported spontaneous or aura/ energies might tend to have a higher level of imaginative/fantasy activity or fantasy proneness. Three specific hypotheses are tested: People who report seeing “aura” (experients) have a higher capacity for (1) cognitive anomalous experiences (measured by Bell ́s CAPS), (2) higher transliminality, that is hypersensitivity to psychological material originating in the unconscious and/or the external environment, (3) and thinner boundaries, that is an experient's sensitivity due to permeable ego boundaries related to physiological differences in percep-tual processing, who score differently than control (non--experients). The sample consisted of 212 participants recruited through e-mailing list and interested/students of paranormal and new age topics (Age ranged from 18 to 83, M = 44.69; SD = 13.37). Data were compared on aura experients (n= 97) and nonexperients (n= 115). Hypothesis were supported, that is, experients scored higher on anomalous experiences, on transliminality, and on thinner boundaries, and it was found that the transliminality was the best predictor for aura experience. It may well be that some boundaries have not good explanatory value, whilst others are simply relevant for the understanding of spontaneous paranormal experiences, such as aura viewing.
Anti-Diabetic and Anti-Obesity Effect of a Crude Polysaccharide Isolated from Vitex negundo Linn . Leaves in db / db Mice

DOI: 10.21276/sjmps.2018. 4.2. 9 Abstract: Various plant actives have been reported for their therapeutic potential in obesity so far and plant polysaccharides are one of them. Naturally occurring non-starch polysaccharides are widely known for their anti-oxidant, immunomodulatory, anti-diabetic and anticancer activities as well in various in vitro and in vivo test systems. This paper focuses on one such crude polysaccharide fraction isolated from the leaves of the plant Vitex negundo which was tested for its anti-obesity activity in male db/db mice at 50 mg/Kg dose via both subcutaneous and per oral route of administration for 7 days. The activity via both the routes was compared with pair-fed and normal control animals for various parameters such as daily food intake, body weight, fasting serum glucose, insulin and triglyceride levels as well as changes in glucose levels during oral glucose tolerance test (OGTT). Obtained results demonstrate a significant reduction in food intake, body weight and fasting glucose levels in crude polysaccharide treated animals which are suggestive of its anti-obese activity. Further, a remarkable increase in fasting insulin and a significant decrease in glucose intolerance in crude polysaccharide treated animals was also observed, which indicate its anti-diabetic activity. Thus, this study primarily establishes a positive role of the crude polysaccharide from V. negundo leaves in treatment of both obesity and type 2 diabetes mellitus.
SMS spam classification using vector space model and artificial neural network

As there are increasing numbers of mobile subscriber and the market demands of reaching customer personally, Short Message Service (SMS) has become a target of unsolicited text message known as Spam that resulting waste in time, money, and privacy. Many text classification methods using traditional machine learning algorithm has been proposed to prevent spam. However, none of these solutions can guarantee 100% spam-proof solution as each filtering and modeling technique has their own weaknesses and strengths. The objective of this paper is to propose SMS spam classification using Vector Space Model (VSM) and Artificial Neural Network techniques on the publicly available SMS dataset. The result shows a significant improvement based on the accuracy which is 99.10%. This paper will contribute on practical applications and provide contribution to the body of knowledge
Vegetation structure of Debra-libanos Monastery forest patch of North Oromia Region, Central Ethiopia

Context: Dry Afromontane forests are the most altered and endangered ecosystems. Objectives: This study was aimed to assess the status of basal area, and vegetation structure of woody plant species in Debra-libanos Monastery forest patch (DMFP) in Oromia Region. Fifty quadrats were placed on transects along altitudes using a systematic sampling design. Methods: Quadrats of 1m, ANALYSIS Vol. 20, 2019 Species ISSN 2319–5746 EISSN 2319–5754
LAMA 4 expression is activated by zinc finger E ‐ box ‐ binding homeobox 1 and independently predicts poor overall survival in gastric cancer

The present study aimed to investigate the association between the expression of ZEB1 and LAMA4 in gastric cancer and the possible underlying mechanisms of this. In addition, the present study also investigated the prognostic value of LAMA4 in gastric cancer. LAMA4, MMP2, MMP9 and ZEB1 expression and their associations were analyzed by data mining in The Cancer Genome Atlas-stomach adenocarcinoma (TCGA-STAD). Overall survival (OS) curves of patients with gastric cancer were generated using data from TCGA and Kaplan-Meier plotting. Gastric cancer HGC-27 and SGC-7901 cell lines were used as in vitro cell models to assess the effect of LAMA4 on cell migration and invasion and to study the regulatory effect of ZEB1 on LAMA4 expression. The results of the present study indicated that LAMA4 upregulation was associated with higher grade tumors. LAMA4-knockdown significantly reduced MMP2 expression in gastric cancer cells and impaired the speed of wound healing and the invasive capability of the cancer cells. ZEB1 was strongly co-expressed with LAMA4 in TCGA-STAD (Pearson's r=0.85). Induced ZEB1 expression significantly increased LAMA4 expression at the mRNA and protein level in HGC-27 and SGC-7901 cells. A dual‐luciferase assay confirmed that ZEB1 directly binded to the promoter of LAMA4. High LAMA4 expression independently predicted a poor OS (HR, 1.614; 95% CI, 1.155-2.256; P=0.005) in patients with primary gastric cancer. These results indicated that ZEB1 was able to epigenetically activate LAMA4 expression via binding to its promoter in gastric cancer cells. High LAMA4 expression was an independent indicator of a poor OS in patients with gastric cancer.
ungal endophytes help prevent weed invasions

This study tested whether the endophyte-promoted competitive superiority of forage grass can be used in biological weed control. Feasibility of endophytes in weed control was tested by manipulating endophyte colonization of meadow fescue (Scherodonus pratensis ex. Lolium pratense and Festuca pratensis) in three experiments. First, species richness, the cover percentages and biomass of detected species were estimated in replicated field plots seeded with endophyte-free (E−) or endophyte colonized (E+) meadow fescue. Four years after establishment of the grass monocultures, weed species richness and coverage was higher in E− plots compared to E+ plots. The cover percentages of meadow fescue decreased with weed invasions being 75% and 98% in E− and E+ plots, respectively. Similarly, the proportion of weeds in the total biomass was over 45% higher in E− plots compared to E+ plots at the end of the six years study.
Color Model Analysis for Solder Pad Segmentationon Printed Circuit Boards

This paper presents and discuss the robustness and suitability of major color models that are extensively used in image processing applications, for the segmentation of solder joints on different printed circuit board (PCB) surfaces with the use of efficient color image segmentation techniques. A detailed analysis has been carried out with respect to the parameters of color vectors that lie on the foreground (solder pad area) and background (PCB surface area) over major PCB surface variations and solder pad appearances. Eventhough many automatic optical inspection (AOI) systems are available for the inspection of surface mount devices (SMD) with the use of prior teaching of individual component, no visual inspection system exists that performs the automatic identification and quality analysis of through hole technology (THT) joints. This paper completes the first stage of an AOI system for THT solder joint inspection with providing a suitable color model for solder joint segmentation over a given PCB type.
Unveiling Taxi Drivers' Strategies via cGAIL: Conditional Generative Adversarial Imitation Learning

Smart passenger-seeking strategies employed by taxi drivers contribute not only to drivers' incomes, but also higher quality of service passengers received. Therefore, understanding taxi drivers' behaviors and learning the good passenger-seeking strategies are crucial to boost taxi drivers' well-being and public transportation quality of service. However, we observe that drivers' preferences of choosing which area to find the next passenger are diverse and dynamic across locations and drivers. It is hard to learn the location-dependent preferences given the partial data (i.e., an individual driver's trajectory may not cover all locations). In this paper, we make the first attempt to develop conditional generative adversarial imitation learning (cGAIL) model, as a unifying collective inverse reinforcement learning framework that learns the driver's decision-making preferences and policies by transferring knowledge across taxi driver agents and across locations. Our evaluation results on three months of taxi GPS trajectory data in Shenzhen, China, demonstrate that the driver's preferences and policies learned from cGAIL are on average 34.7% more accurate than those learned from other state-of-the-art baseline approaches.
Applying molecular technology to identify termite species of the genus Coptotermes in the Hanoi Old Quarter by

Research on the termites damaging buildings in the Hanoi Old Quarter determined 3 species, belonging to 2 genera and 2 families. In which, 2 species of Coptotermes were found to be abundant and the main pest damaging various structures in this area, although their individuals are different in soldier head shape and size. Furthermore, this study might be the premise for further termite taxonomy in Vietnam, using molecular technology.
Exploring the end-to-end compression to optimize the power-performance tradeoff in NoC-based multicores

The continous evolution of market applications and technological devices have posed new challenges to hardware manufacturers, in order to meet everincreasing low-power and performance requirements. The Network-on-Chip (NoC) emerged as a de-facto on-chip interconnect to meet scalability and flexibility. However, its non-negligible impact on performance and power consumption on the entire chip forces different optimization strategies to cope with the market requirements. The literature reports several optimization methodologies to cope with such a tradeoff ranging from the router architecture changes to priority-based packet scheduling techniques and optimized NoC topologies. In this scenario, data compression techniques represent a viable solution to reduce the injected traffic thus reducing the required bandwidth, the energy profile and increasing the system-wide performance. The compression techniques falls in two broad categories: cache compression and end-to-end compression (E2E). The former has the objective to virtually increase the cache bank capacity by fitting more compressed cache lines into the same cache bank, where the latter instead aims to compress cache blocks before their injection into the on-chip interconnect. Previous analysis on different workloads highlighted the fact that the majority of the network traffic is due to data transfers. Starting from this assumptions, we propose an analysis of the impact that E2E compression scheme has on the NoC. This thesis investigates the power-performance tradeoff offered by the E2E compression in NoCs with particular emphasis on the power and performance overheads as well as the achievable compression ratio with respect to the optimal compression ratio from a golden model. We selected this type of scheme because of its transparency with respect to the rest of the NoC, giving more flexibility in terms of system design and Intellectual Property (IP) embedding, and because of its very small area and power overheads. Previous works on data compression focus their attention only on power savings and reduced
Investigation of Content Features that Determine Korean EFL Learners’ Argumentative Writing Qualities

Paek, Jin Kyung & Kang, Yusun. (2017). Investigation of content features that determine Korean EFL learners’ argumentative writing qualities. English Teaching, 72(2), 101-122. Despite extensive research attention that has been paid to second language (SL) or foreign language (FL) learners’ argumentative writing, most research has focused on the structural features characteristic of such writers. There have not been many systematic attempts to identify the quality of argument features SL or FL writers rely on, and how they contribute to the overall writing qualities. This study was designed to examine the relationship between the Toulmin elements, widely used measures of content qualities in arguments which include claims, data, warrants, rebuttals, qualifiers, and backings, and the overall qualities of advanced Korean high school EFL learners’ argumentative writing. Each of the thirty three participants’ argumentative writing was analyzed, applying the Toulmin model, and the results demonstrate that their overall argument qualities were closely related to the uses of the fundamental Toulmin elements, especially data and predicted best by the degree to which each claim was supported with relevant and sufficient data. These findings shed light on the need for instruction on the use of Toulmin elements in enhancing the overall quality of Korean EFL learners’ argumentative writing.
Assessing the interaction between different auditory profiles and benefit from six hearing aid processing strategies: Insights from the BEAR project

aid processing strategies: Insights from the BEAR project DTU Orbit (24/10/2019) Assessing the interaction between different auditory profiles and benefit from six hearing aid processing strategies: Insights from the BEAR project The current study forms part of the Better hEAring Rehabilitation (BEAR) project, which aims at developing and evaluating new clinical tools for individual hearing loss characterization and hearing aid benefit assessment. The purpose of the current study was to assess the interaction between four different auditory profiles and two outcome measures of aided performance obtained for six selected hearing-aid processing strategies (Sanchez-Lopez et al., Euronoise 2018). Sixty older habitual hearing-aid users who participated in the study were previously classified into four auditory profiles based on a data-driven approach (Sanchez-Lopez et al., Trends in Hearing 2018). All stimuli were generated with the help of a hearing aid simulator and presented via headphones. Speech recognition in noise was assessed at fixed signal-to-noise ratios based on individual 50%-correct speech reception thresholds measured in a realistic noise environment. Subjective ratings of overall quality and noise annoyance were measured using a multiple stimulus comparison paradigm. It is hypothesized that the four auditory profiles will have different needs in terms of compensation so perceptual outcomes for the six hearing aid processing strategies are expected to be different.
A Survey on Big Data Storage

: In the 21st century digital data generated from various sources and growing exponentially. Generated data from various sources are in the different format such as structure, unstructured & semi-structured and huge in size (GB, PB, TB etc). This types of data are complex in nature which cannot be stored by traditional databases. Traditional databases get slow, expensive and gives degrade performance, in the form storing, processing & analysis. To handle Big data Hadoop is introduced by Apache, which can store different type of data in seconds and it is quite better than traditional storage databases. In this paper, we survey on traditional databases storage vs hadoop.