Miracle-dz/UniFAR-FTUs huggingface dataset:
Solving the Graph Coloring Problem Using Adaptive Artiﬁcial Bee Colony

Summary Recently, some discrete swarm intelligence algorithms such as particle swarm optimization with hamming distance (HDPSO), similarity artiﬁcial bee colony (S-ABC), and discrete ﬁreﬂy algorithm (DFA) have been proposed to solve graph 3-coloring problems (3-GCP) and obtain good results. However, these algorithms use static parameter settings that limit their performance on graphs with various sizes and topology. In this paper, we propose a discrete adaptive artiﬁcial bee colony (A-ABC) algorithm that can adjust the parameter automatically during the evolution according to the graph size and the ﬁtness of candidates. For the convenience of comparison, we also propose a ﬁxed ABC (F-ABC), which is identical to A-ABC but using ﬁxed parameter setting during the evolution. A-ABC is simple and high performance. Experiments on 3-GCP show that A-ABC dramatically outperforms its competitors F-ABC, HDPSO, S-ABC, and DFA. We also study the scout bee phase and report that the scout bee phase is not required in solving 3-GCP.
The Effect of Two Weather Parameters on the Timing of Nesting in a Critically Endangered Population of the European Pond Turtle, Emys orbicularis (L., 1758)

Environmental conditions strongly influence the activity patterns of reptiles having behavioural thermoregulation. This study examined the influence of two weather characteristics (average daily air temperature and daily sunshine duration) on the onset of the nesting period of Emys orbicularis in the conditions of the Tajba National Nature Reserve in eastern Slovakia. Using data collected over 18 years, we found that the period of almost two weeks before the first egg-laying date is the most critical in the progression of the onset of nesting. During these days, the mean daily temperature was ca. 16°C and the mean sunshine duration was eight hours. Inter-annual deviations from the mean values in both daily weather measures caused significant shifts in the first egg-laying date. Intrauterine embryonic development that undergoes in turtle females may explain the observed pattern in their thermoregulatory behaviour during this vulnerable period. The obtained knowledge is necessary for launching subsequent conservation actions for this endangered species.
Barriers and facilitators of implementing robotic systems in nursing care A Systematic Review

Background and Purpose Economic and demographic developments led to the application of robots in medicine and healthcare [1] . The purposes of using robots in this field are to support older individuals in maintaining their independence [2], to reduce the need of care, support and therapy in order to relieve caregivers [3] and to improve medical procedures (e.g. surgeries or diagnostics) [4, 5]. According to these purposes health care robots can be classified in telepresence and assistance robots, social-interactive robots, robots for medical interventions, and rehabilitation robots [1]. The multidisciplinary project* ‘MobIPaR’ (Mobilization of Intensive Care Patients) aims to develop and pre-test such a rehabilitation robot, more specifically an auto-adaptive robotic solution for periodic leg movement that supports early mobilization of intensive care unit (ICU) patients. In order to prepare the development of a meaningful implementation protocol, we carried out a systematic review to identify barriers and facilitators for implementing robotics in nursing.
A VERSATILE MULTI-CAMERA SYSTEM FOR 3D ACQUISITION AND MODELING

Abstract. Image-based 3D models generation typically involves three stages, namely: 2D image acquisition, data processing, and 3D surface generation and editing. The availability of different easy-to-use and low-cost image acquisition solutions, combined with open-source or commercial processing tools, has democratized the 3D reconstruction and digital twin generation. But high geometric and texture fidelity on small- to medium-scale objects as well as integrated commercial system for mass 3D digitization are not available. The paper presents our effort to build such a system, i.e. a market-ready multi-camera solution and a customized reconstruction process for mass 3D digitization of small to medium objects. The system is realized as a joint work between industrial and academic partners, in order to employ the latest technologies for the needs of the market. The proposed versatile image acquisition and processing system pushes to the limits the 3D digitization pipeline combining a rigid capturing system with photogrammetric reconstruction methods.
Configuration Method for Integrated Interface Rule

Until now, the web service process system was carried out in a static environment. However, the external processes or services specified at design time, rather than a static environment it has been for technical studies on run-time inputs to configure the service to be able to add new services, applied service for the techniques of dynamic Service binding. There are multiple service instances for the service type of one. However, since the structure of interfaces is independent so that is difficult to interaction. Even if interfaces perform the same function, function structure of each interface is independent that it has less efficiency as a result internal unnecessary procedures and hard interaction. The function of internal interface has the same mechanism, but Services are constrained to vary the structure of the codes. In this paper, when a user requests a service, service is treated by applying the abstracted specifications to be defined the structure of each interface. The service response time, we propose a method that provides the user with a result of processing by inverse transform according to the structure of each interface specification. To provide the optimum service does not depend on the characteristics of each interface by configuring the abstracted specification.
University of Groningen Superior immunogenicity of inactivated whole virus H5N1 influenza vaccine is primarily controlled by Toll-like receptor signalling Geeraedts,

In the case of an influenza pandemic, the current global influenza vaccine production capacity will be unable to meet the demand for billions of vaccine doses. The ongoing threat of an H5N1 pandemic therefore urges the development of highly immunogenic, dose-sparing vaccine formulations. In unprimed individuals, inactivated whole virus (WIV) vaccines are more immunogenic and induce protective antibody responses at a lower antigen dose than other formulations like split virus (SV) or subunit (SU) vaccines. The reason for this discrepancy in immunogenicity is a long-standing enigma. Here, we show that stimulation of Toll-like receptors (TLRs) of the innate immune system, in particular stimulation of TLR7, by H5N1 WIV vaccine is the prime determinant of the greater magnitude and Th1 polarization of the WIV-induced immune response, as compared to SVor SU-induced responses. This TLR dependency largely explains the relative loss of immunogenicity in SV and SU vaccines. The natural pathogen-associated molecular pattern (PAMP) recognized by TLR7 is viral genomic ssRNA. Processing of whole virus particles into SV or SU vaccines destroys the integrity of the viral particle and leaves the viral RNA prone to degradation or involves its active removal. Our results show for a classic vaccine that the acquired immune response evoked by vaccination can be enhanced and steered by the innate immune system, which is triggered by interaction of an intrinsic vaccine component with a pattern recognition receptor (PRR). The insights presented here may be used to further improve the immune-stimulatory and dose-sparing properties of classic influenza vaccine formulations such as WIV, and will facilitate the development of new, even more powerful vaccines to face the next influenza pandemic. Citation: Geeraedts F, Goutagny N, Hornung V, Severa M, de Haan A, et al. (2008) Superior Immunogenicity of Inactivated Whole Virus H5N1 Influenza Vaccine is Primarily Controlled by Toll-like Receptor Signalling. PLoS Pathog 4(8): e1000138. doi:10.1371/journal.ppat. 1000138 Editor: Kanta Subbarao, National Institutes of Health, United States of America Received December 17, 2007; Accepted August 1, 2008; Published August 29, 2008 Copyright: 2008 Geeraedts et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: This study was conducted under the auspices of the Netherlands Influenza Vaccine Research Centre (NIVAREC), with financial support from the Netherlands Organization for Health Research and Development (ZonMw) and by National Institutes of Health grant AI067497 to KAF. Competing Interests: The authors have declared that no competing interests exist. * E-mail: a.l. w.huckriede@med.umcg. nl
Acurio Machine Learning applied to improve accessibility of PDF documents for Visually Impaired Users

Digital documents are accessed by visually impaired people (VIP) through screen readers. Traditionally, digital documents were translated to braille text, but screen readers have proved to be efficient for the acquisition of digital document knowledge by VIP. However, screen readers and other assistive technologies have significant limitations when there exist tables in digital documents such as portable document format (PDF). For instance, screen readers can not follow the correct reading sequence of the table based on its visual structure causing this content is inaccessible for VIP. In order to deal with this problem, in this work, we developed a system for the retrieval of table information from PDF documents for use in screen readers used by visually impaired people. The proposed methodology takes advantage of computer vision techniques with a deep learning approach to make documents accessible instead of the classical rule-based programming approach. We explained in detail the methodology that we used and how to objectively evaluate the approach through entropy, information gain, and purity metrics. The results show that our proposed methodology can be used to reduce the uncertainty experienced by visually impaired people when listening to the contents of tables in digital documents through screen readers. Our table information retrieval system presents two improvements compared with traditional approaches of tagging text-based PDF files. First, our approach does not require supervision by sighted people. Second, our system is capable of working with image-based as well as text-based PDFs. Key-words: Accessibility, computer vision, deep learning, statistical approach.
TCF4/β-Catenin Complex Activates Smo and Gli1 to Promote Migration and Proliferation of Hepatocellular Carcinoma Cells

*Address for correspondence E-mail: nbeycyj@163.com Accepted 27 September 2019 Revised 29 June 2019 Received 22 February 2019 Indian J Pharm Sci 2019;81(6):1045-1052 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms TCF4/β-Catenin Complex Activates Smo and Gli1 to Promote Migration and Proliferation of Hepatocellular Carcinoma Cells
Sea-Air Impact on Fishing Season 1

Fishing season is important in term of understanding the catch dynamics however, by far the analysis never considered environmental variables into the calculation. The environmental variables in this case is addressed to sea-air interactions during 2012-2015, i.e. monthly wind, surface wind wave, and precipitation level. This study aimed the alternative, yet breakthrough on using Generalized Linear Model (GLM) to analyze the fishing season of skipjack tuna caught by small-scale hand line fleet. The result showed that GLM can be a good alternative in term of predicting the fishing season of skipjack tuna. It provided a good understanding with the surrounded environmental variables. Skipjack tuna fishing season starts from March, reach its peak in April and October. The low season is Februari, June and September. Local weather (wind speed) and religious affair (Fast Ied) significantly affected the fishing behavior thus lead to dynamics of CPUE obtained.
Absent filling of the superficial middle cerebral vein is associated with reperfusion but not parenchymal hematoma in stroke patients undergoing thrombectomy: an observational study

Background Parenchymal hematoma (PH) is the most feared complication of reperfusion therapy after stroke. The opacification of the superficial middle cerebral vein (SMCV) on computed tomography perfusion (CTP) has been associated with poor functional outcomes after stroke, while its association with PH has not been verified for acute stroke patients undergoing thrombectomy. Methods Consecutive patients with acute anterior large artery occlusion (LAO) who received thrombectomy were retrospectively enrolled between May 2018 and May 2019. Absent filing of the SMCV (SMCV−) on CTP-derived CT angiography was defined as no contrast filling of the SMCV across the whole venous phase in the ischemic hemisphere, while SMCV+ was defined as the presence of contrast filling of the SMCV at any time point of the venous phase. Results A total of 52 patients were enrolled in the study, and 15 patients (28.8%) developed a PH within 48 hours after thrombectomy. SMCV− was not associated with PH in both the univariate and multivariate logistic regression analyses (all P>0.05), but was an independent risk factor for reperfusion [modified thrombolysis in cerebral infarction score of 2b-3; odds ratio (OR) =0.172, 95% confidence interval (CI): 0.031–0.960, P=0.045]. Reperfusion was associated with a reduced risk of PH (OR =0.110, 95% CI: 0.013–0.913, P=0.041). However, in a subgroup analysis of patients who had reperfusion, the SMCV− group had a higher rate of PH than the SMCV+ group (40.0% vs. 13.8%, P=0.049). Conclusions In patients who received thrombectomy, SMCV− did not predict PH, but was a risk factor for reperfusion. Although reperfusion was a protective factor for PH, the SMCV− group was still at a higher risk of PH compared with the SMCV+ group when reperfusion was successfully achieved.
University of Groningen In vitro characterization of representative clinical South African Staphylococcus aureus isolates from various clonal lineages Oosthuysen,

Data concerning the virulence and pathogenesis of South African strains of Staphylococcus aureus are limited. We investigated host–pathogen interactions of randomly selected clinical S. aureus isolates representing various clones. We characterized the ability of isolates to adhere to fibronectin, fibrinogen, collagens IV and VI, to invade host cells and to induce cell death in vitro. We analysed the possible association of these results with characteristics such as methicillin resistance, Panton–Valentine leucocidin (PVL) positivity and clonality. The S. aureus isolates displayed diversity in their abilities to adhere to various human ligands. All isolates were highly invasive except for ST121. PVL-negative isolates were significantly more invasive than the PVL-positive isolates (p 0.004). Isolates of CC5, CC30 and CC121 were non-cytotoxic, whereas isolates of CC22, CC8, CC15, CC45 and CC88 were very cytotoxic. No statistical association was identified between cell death and methicillin resistance, bacterial PVL status, clonality or patient HIV status. The vast majority of isolates were invasive and induced significant cell death. PVL-negative isolates were more invasive than PVL-positive isolates, while methicillin-resistant isolates were not found to be more invasive or cytotoxic than methicillin-susceptible isolates.
Phylogenetic Analysis of Selected Lactic Acid Bacteria by Using Bioinformatic Tools

53 www.erpublication. org  Abstract— Bacteriocin is proteinaceous antimicrobial peptides secreted by bacteria that inhibit the growth of closely related microorganism. Bacteriocin produced by lactic acid bacteria have attained a great attention because of its huge potential to use in food product as preservative. In the present study we have done phylogenetic analysis of selected 25 lactic acid bacteria those are found in milk and ready to eat milk products and produces of bacteriocin. Phylogenetic analysis was done by using the distance based and character based methods. 16S rRNA gene sequences of selected 25 lactic acid bacteria retrieved from NCBI database and it was used to build phylogenetic tree using MEGA 5.2 software. In the tree topology obtained from all the 4 methods, likeness was observed in branches (48) , nodes (22), polytomy (0), out group (0), the differences was observed only in monophyletic group , polyphyletic group, monotomy and dichotomy. On the comparison of all the prepared phylogenetic tree on the basis of morphological and biochemical characters, families and production of bacteriocin, superlative evolutionary tree of the selected lactic acid bacteria was obtained from UPGMA (Unweighted Paired Group with Arithmetic Mean) method. The further confirmation of the close relation on the basis of bacteriocin can be done to get alternative lactic acid bacteria to inhibit the growth of pathogenic microbes.
DEVELOPMENT OF NANOEMULSION AND ITS CHARACTERIZATION FOR ANTI BIOFILM AND LARVICIDAL ACTIVITY

Dengue is a mosquito borne viral disease and the main root cause vector is Aedes aegypti. Hence in this work a rapid measure was taken to eradicate the vector using nanoemulsion. Plant essential oil based nanoemulsions was formulated by ultrasonic emulsification method. In the current study, nanoemulsion (O/W) was developed using oil extracted from the leaves of a Tulsi, Neem and Nochi. The emulsions were prepared in different ratios of oil and surfactant (Tween 80) and evaluated for their mechanical and thermal stability. After the confirmation of stable nanoemulsion formation, it was evaluated for its antibiofilm activity. Results revealed that the formulated mixed oil nanoemulsion exhibited enhanced antibiofilm activity against isolated microorganisms from contaminated wall samples. Further the biofilm forming capability of bacterial culture was indirectly assessed by staining with 1% crystal violet and measured absorbance using ethanol as a destaining solution. The mean biofilm production of S3 bacterial isolates significantly greater than that observed for S1 & S2. In addition, antibiofilm activity of the emulsion NE3 was higher against bacterial culture S3. Different concentration of mixed oil nanoemulsiom (NE3) treated group was subjected to evaluate the larvicidal activity against Aedes aegypti between 1 to 12 hours respectively. It was observed that an increase in the nanoemulsion concentration (NE3) to 25 ppm and 50 ppm resulted in complete loss of larval viability in 5 hr and 6 hr respectively. There is no significant difference in larval viability after 6 hr and 12 hr in all the treatment groups. Hence the above findings suggest the applicative potential of mixed nanoemulsion formulation for various applications including mosquito larval control and antibiofilm activity.
INTEGRATION OF PDR AND IMAGE-BASED POSITIONING AIDED BY ARTIFICIAL NEURAL NETWORKS IN INDOOR ENVIRONMENT

Abstract. Location based service (LBS) is a popular issue in recent years, which can be applied widely. The most common one is providing the local information and the guide of the Point of Interesting (POI) to users, which means positioning is the necessary technique to put LBS into practice. In an outdoor scenario, the user’s position can be obtained relying on the Global Navigation Satellite System (GNSS), however, the signal of GNSS might be blocked in a building. So, many indoor positioning techniques are developed in the decades, which have the pros and cons respectively. This paper proposes an indoor positioning technique by integrating Pedestrian Dead Reckoning (PDR) with the image-based positioning method, which can decrease the cost significantly because it only needs a camera built-in the smartphone. In the first experiment, we verify the accuracy of positioning by the proposed method, that the mean error in the horizontal direction is about 0.25 meters. In the following experiment, comparing with the misclosure of PDR only and PDR integrated with the proposed method, it can decrease from 8.53% to 1.44%. The improvement is about 83%, therefore, this method is suitable for applying to indoor navigation.
Genetic improvement of triticale for irrigated systems in south-eastern Australia: a study of genotype and genotype × environment interactions

Abstract. Research into winter cereal breeding in Australia has focused primarily on studying the effects of rainfed environments. These studies typically show large genotype × environment (GE) interactions, and the complexity of these interactions acts as an impediment to the efficient selection of improved varieties. Wheat has been studied extensively; however, there are no published studies on the GE interactions of triticale in Australia under irrigated production systems. We conducted trials on 101 triticale genotypes at two locations over 4 years under intensive irrigated management practices and measured the yield potential, GE interactions, heritability and estimated genetic gain of yield, lodging resistance and several other traits important for breeding triticale. We found that high yield potential exceeding 10 t ha–1 exists in the Australian germplasm tested and that, in these irrigated trials, genotype accounted for a high proportion of the variability in all measured traits. All genetic parameters such as heritability and estimated genetic gain were high compared with rainfed studies. Breeding of triticale with improved yield and lodging resistance for irrigated environments is achievable and can be pursued with confidence in breeding programs.
CONSERVING OUR BOTANICAL HERITAGE: USING GPS/GIS AND MOLECULAR ANALYSIS AS CONSERVATION MANAGEMENT TOOLS FOR GEORGIA PLUME

Georgia plume is a threatened plant endemic only to Georgia. Current records regarding the species are difficult to use and only a very general habitat description is available from several different sources. The goal of this study was to develop a GIS based conservation management tool using Georgia plume as a model system. A second goal was to develop a habitat suitability model for the species using existing environmental geodata. Field surveys were conducted to collect habitat data for several populations of Georgia plume using putative sightings provided by the Department of Natural Resources. Raster analysis was used to develop a habitat suitability model. Approximately 40% of visited populations were found to no longer contain Georgia plume and of these 70% were found to be due to human activity. Overall habitat conditions appeared to be highly variable with no single factor seeming to explain the presence of the species. The habitat suitability model identified approximately 34% of the study area as being either highly or moderately suitable for Georgia plume. These areas could be useful for future conservation areas or reintroduction programs.