Miracle-dz/UniFAR-FTUs huggingface dataset:
Establishment of a root proteome reference map for the model legume Medicago truncatula using the expressed sequence tag database for peptide mass fingerprinting

We have established a proteome reference map for Medicago truncatula root proteins using two‐dimensional gel electrophoresis combined with peptide mass fingerprinting to aid the dissection of nodulation and root developmental pathways by proteome analysis. M. truncatula has been chosen as a model legume for the study of nodulation‐related genes and proteins. Over 2500 root proteins could be displayed reproducibly across an isoelectric focussing range of 4–7. We analysed 485 proteins by peptide mass fingerprinting, and 179 of those were identified by matching against the current M. truncatula expressed sequence tag (EST) database containing DNA sequences of approximately 105 000 ESTs. Matching the EST sequences to available plant DNA sequences by BLAST searches enabled us to predict protein function. The use of the EST database for peptide identification is discussed. The majority of identified proteins were metabolic enzymes and stress response proteins, and 44% of proteins occurred as isoforms, a result that could not have been predicted from sequencing data alone. We identified two nodulins in uninoculated root tissue, supporting evidence for a role of nodulins in normal plant development. This proteome map will be updated continuously (http://semele.anu.edu.au/2d/2d.html) and will be a powerful tool for investigating the molecular mechanisms of root symbioses in legumes.
Spatialities, Social Media and Sentiment Analysis: Exploring the Potential of the Detection Tool SentiStrength

Social media such as Twitter or Facebook not only create new spaces of interaction and communication, they also influence the way we perceive things and lead to changes in our self-perception and our own worldview. Online data occur in various forms and can contain opinions or expressions of feeling. In this article, we explore the potential of SentiStrength, a tool for sentiment analysis in geographic research. We analyse posts on Twitter containing hashtags for possible constructions of spaces in Ostend, a neighbourhood in Frankfurt, Germany. We collected tweets via the Twitter API and used the SentiStrength online application to conduct our sentiment analysis. In order to evaluate the results, we also classified our data manually for comparison. Through its lexicon-based classification, the tool was able to identify positive and negative associations of Ostend. However, we were also able to demonstrate the limitations of the tool compared to manual analysis. Although it provides a quick and comprehensive overview of sentiments, SentiStrength reaches its limits when other media such as images are involved. Overall, the tool offers a good low-threshold approach for scientists to work with digital data.
The input estimator design and application in estimating atmospheric disturbances for aircraft systems

In this work, the Input-Estimation (IE) algorithm based on Kalman filter (KF) is proposed to estimate the atmospherice disturbance. It can hold a high disturbance estimating performance when system variation is unknown and under the disturbances. The input estimation algorithm is an on-line inverse estimation method that based on the KF and least square method, which estimate the system disturbance without extra sensors. The estimation performance of the proposed estimator is also studied in estimating the atmospheric disturbance for the aircraft system. The simulation results shown that the proposed estimator can be a good disturbance estimator for aircraft system in estimating the atmospheric disturbance.
Online discontent: comparing Western European far-right groups on Facebook

ABSTRACT Far-right groups increasingly use social media to interact with other groups and reach their followers. Social media also enable ‘ordinary’ people to participate in online discussions and shape political discourse. This study compares the networks and discourses of Facebook pages of Western European far-right parties, movements and communities. Network analyses of pages indicate that the form of far-right mobilization is shaped by political opportunities. The absence of a strong far-right party offline seems to be reflected in an online network in which non-institutionalized groups are the most prominent actors, rather than political parties. In its turn, the discourse is shaped by the type of actor. Content analyses of comments of followers show that parties address the political establishment more often than immigration and Islam, compared to non-institutionalized groups. Furthermore, parties apply less extreme discursive practices towards ‘the other’ than non-institutionalized groups.
Internal ministerial advisory bodies: An attempt to transform governing in the Slovak Republic

Abstract In the Slovak Republic, a number of internal ministerial advisory bodies, intended to provide high-quality analyses and evidence based policy making for national policy, have been established over the last two years. We have studied how the rational technocratic model of scientific policy advice as a specific mode of governing, acted out through these new institutional sites of expertise, survives in a highly politicised environment of the Slovak public administration. Central to our study was the reconstruction of an intersubjective account central to the work of organising on which the analytical centres and their staff, as well as their patrons, participate. Complementary to this, we focused on intersubjectively shared elements of the analysts’ community and subculture within the dominant CEE public administration culture. The vision of governing with expertise shared by analytical centres rests on the principles of transparency, orientation on professional merit (primarily econometric, analytical skills), voluntarism, conflict avoidance, political opportunism and institutional autonomy. Analytical centres identify themselves as a distinct professional group – in fact, they form a distinct organisational subculture around traits such as demographic characteristics (predominantly young males with economic or mathematical/IT background), symbols, hierarchies, working culture, humour, as well as artefacts. Analysts see their mission in the provision of impartial, objective analytical evidence for informed decision making, yet they negotiate the boundary between politics and expertise on a daily basis, and, as we found, in numerous aspects of analysts’ work politics cannot be entirely bracketed.
Art-oriented model of hotel service innovation

Purpose The development of artistic services is often unsuccessful because quality artistic services are characterized by offering new experiences to customers and pursuing excellence of the performing services in the details. To successfully facilitate developing artistic services, this study builds an ambidextrous service innovation and service effectiveness (ASISE) model that describes the processes and steps of art-oriented services development. Design/methodology/approach A case study was conducted on Relais & Châteaux (R&C) hotel membership in Taiwan to better understand the steps and activities that describe service innovation processes. Triangulation was performed by compiling secondary data (e.g., official R&C notebooks and documents relating to Volando) and conducting field investigations and semi-structured interviews (with managers, employees, customers, artists). Findings This study combined the ambidexterity perspective with the Plan–Do–Check–Action (PDCA) principle and expanded the applicat.
Balance Based Performance Enhancement for Interactive TCP Traffic Replay

Interactive network traffic replay plays an important role in testing and evaluating in-line network security devices such as Firewalls, IPSs, etc. In this paper we present a balance-based method for improving the performance of interactive TCP traffic replay. The new method is based on the inherent feature of the TCP protocol, that is, two communicating peers keep synchronized with each other using data acknowledgment. This feature is converted as a balance mechanism in interactive TCP traffic replay and incorporated into the current state-based method. In this way, the cost of state-checking can be significantly reduced and the replay performance is thus enhanced. To validate the effectiveness of the method we implement it by building an interactive replay system. The experimental results indicate that: 1) balance-checking reduces the overhead of state-checking by 40%; 2) the balance-based method enhances the overall replay performance by an average of 5% when the actual TCP traffic traces are replayed.
A Matrix Factorization Approach to Graph Compression

We address the problem of encoding a graph of order n into a graph of order k <; n in a way to minimize reconstruction error. We characterize this encoding in terms of a particular factorization of the adjacency matrix of the original graph. The factorization is determined as the solution of a discrete optimization problem, which is for convenience relaxed into a continuous, but equivalent, one. We propose a new multiplicative update rule for the optimization task. Experiments are conducted to assess the effectiveness of the proposed approach.
An efficient approach for opinion mining from skewed twitter corpus using under sampling approach

Data Mining is an efficient technique for knowledge discovery from existing databases. The existing algorithms performance degrades when applied to the imbalance dataset. The imbalance nature of twitter data set also hinders the process of efficient knowledge discovery. In this paper, we proposed an efficient approach for knowledge discovery from imbalance datasets specifically designed for opinion mining. The proposed Under Sampled Imbalance Data Learning (USIDL) approach uses the unique technique for under sampling the instances from majority subset. The experimental results suggest that the proposed approach performs better than the existing C4.5 algorithm on seven evaluation metrics.
SPICE macro-model of magnetic tunnel nanostructure for digital applications and memory cells

This paper presents macro-model and circuit of a spin transfer torque magnetic tunnel junction (MTJ), implemented using two voltage-dependent resistances for parallel and antiparallel layer magnetization. Macro-model suitable for use in any circuit simulators, the problems previously encountered in the convergence of SPICE-like programs eliminated. The efficiency of the model is demonstrated for a MRAM memory, simulation results showed high accuracy and adequacy of the proposed macro-model.
ECG-gated multiecho Dixon fat-water separation in cardiac MRI: advantages over conventional fat-saturated imaging.

OBJECTIVE The purpose of this pictorial essay is to explore the advantages of multiecho Dixon fat-water separation techniques in cardiac MRI. The clinical indications, potential artifacts, and imaging findings with this technique are reviewed. CONCLUSION Multiecho Dixon fat-water separation can be used to help characterize cardiac masses, evaluate for myocardial lipomatous infiltration, and diagnose pericarditis. Advantages over conventional fat-saturation techniques include fewer artifacts from background inhomogeneity, improved contrast of microscopic fat, and capability for use in combination with cine and contrast-enhanced imaging.
The Role of Business Model Design in the Diffusion of Innovations: An Analysis of a Sample of Unicorn-Tech Companies

Innovation scholars have long studied how and why new products and services diffuse into the market following trajectories such as the S-curve and in accordance with epidemic, social, and information cascade models. However, we see today many new products and services, especially those enabled by digital technologies, which do not seem to fit the above-mentioned trajectories and models due to the incredibly high speed and virulence at which they diffuse. Moreover, the diffusion of these innovations does not seem to depend, contrary to what the previous patterns of innovation diffusion argue, on their technological characteristics or on demand-side factors, such as the word-of-mouth effect or the feedback they receive from their early adopters. Rather, their diffusion seems to be affected by the characteristics of the business model adopted by the companies that have created and commercialized them into the market. Accordingly, our study analyzes through the historical research methodology the business model of a sample of 50 Unicorn tech-companies, which have experienced incredibly fast diffusion rates and business growth and are disrupting entire industries. The outcome of our study is a framework that maps two business model configurations that explain the role of different business model design and innovation choices in the diffusion of new products and services enabled by digital technologies.
Optical near fields as photon‐matter interacting systems

A quantum theoretical formulation of an optical near‐field system developed using the projection operator method is shown to be applicable to conventional problems in the optical near field in a unified way, and also addresses different quantum mechanical issues such as atom manipulation and nano‐fabrication. To gain a clear insight, the effective mass of exciton‐polaritons is introduced; this depends on the sizes of the probe tip and sample. We calculate the optical near‐field intensity detected by (a) a probe sphere and (b) tapered probe modelled by two spheres. The results show that the size of the probe tip determines the spatial resolution, while the contribution of the tapered part causes degradation of the signal contrast. A size–resonance effect between the probe and sample is predicted. Furthermore, enhancement of the signal intensity is observed at the edges of a circular aperture perpendicular to incident polarization. These results are consistent with those obtained from different methods. The approach employed is shown to be a valuable tool in physical understanding and analysis of the near‐field optical phenomena as well as experimental situations.
Expression of hsp90 alpha and hsp90 beta during Xenopus laevis embryonic development.

BACKGROUND Members of the eukaryotic Hsp90 family function as important molecular chaperones in the assembly, folding and activation of cellular signaling in development. Two hsp90 genes, hsp90 and hsp90, have been identified in fish and homeothermic vertebrates but not in poikilothermic vertebrates. In the present study, the expression of hsp90 and hsp90 genes in Xenopus laevis, which is phylogenetically positioned between zebrafish and mammals, has been addressed. METHODS Partial Xenopus hsp90 and hsp90 cDNA were identified and isolated using RT-PCR, and a full-length Xenopus hsp90 cDNA was isolated from an embryonic cDNA library. Northern-blot analysis was used to study the expression of hsp90 and hsp90 genes in total RNA of the embryos and in situ hybridization was used to compare the expression of these genes with that of hsp70 and MyoD genes in Xenopus embryogenesis. RESULTS Northern-blot analysis revealed that the hsp90 gene was strongly expressed constitutively at all stages of embryogenesis, but weakly induced following the heat shock. In contrast, the hsp90 gene was weakly expressed in embryos at control temperature, but strongly up-regulated following heat shock. In situ hybridization results showed that hsp90 gene was observed predominantly in cells of the developing somite. Microscopic sections showed that hsp90 and MyoD mRNA are expressed in similar regions in somite and this pattern was distinct from that of hsp70 and hsp90. CONCLUSION These data support the hypothesis that the presence of hsp90 and hsp90 genes is conserved among vertebrates, and these genes are differentially regulated in a tissue, stress, and development stage-specific manner.
An investigation into the segmentation of Japanese traditional ‘Ryokan’ hotels using selection attributes

Characterized as involving ‘Japanese traditionalism elements’, Ryokan-style accommodation includes full food and beverage service, futons and spas (hot springs), and emphasizes local traditional food. Although these Japanese traditional hotels are famous for their excellent service, traditions, and are a unique accommodation experience for overseas visitors, research into the Ryokan market segment remains limited. The aim of the current study is to provide a better understanding of the decision-making of that market segment of travelers from Korea that use Ryokan-style hotels. The data were collected (N = 328) from Korean visitors to Japan during February and March of 2015. Segmentation of tourists by selection attributes resulted in three clusters: ‘personal service seekers’ (36.9%), ‘physical environment seekers’ (21.1%), and ‘spa & gourmet, systematic service and reputation seekers’ (42.0%). There were statistically significant differences between the three clusters with respect to the characteristics of Korean tourists. The implications of this study are discussed relative to possible future Ryokan marketing strategies and to future research on this accommodation type.
Potentiality of off-grid hybrid systems for sustainable power supply at Kathmandu University campus

Electricity generation from most traditional resources has negative environmental impacts. In rural areas, especially in developing countries like Nepal, access to electricity is not enough and chronic power outages all over Nepal exacerbate the energy security for organizations and people. To improve the energy security of Kathmandu University, a model hybrid energy system to utilize the locally available renewable energy resources like solar, biomass, and human waste is developed and optimized using HOMER software. Considering the University having no existing infrastructure to set up the optimized system, it was found that with a capital investment of $148,200, there will be Total Net Present Value (TNPV) of $ 372,847, Levelized Cost of Energy of $ 0.124/kWh, and renewable fraction of 0.904. The payback period was found to be 5.16 years. Similarly, considering using the existing resources of the campus to implement the recommended model, it was found that with a capital investment of $ 73,060, TNPV of $ 339,700, Levelized Cost of Energy $0.113 / kWh, and renewable fraction of 0.888. The payback period for this scenario was found to be 3.004 years. Similar hybrid systems can be developed for many organizations to utilize local resources to generate energy for their sustainability.
Migration, diaspora and development: impressions from India

Purpose The purpose of this paper is to provide a conceptual overview of potential diasporic influence in India by Indian diaspora and to outline a wide spectrum of policy interventions for better utilisation of diasporic resources, which are under-exploited. Design/methodology/approach This paper used a systematic review approach to analyze the vast empirical and theoretical literature, up to 2016, and to assess the different kinds of impacts of diaspora on the homeland. A list of top-tier journals in the field of international migration, diaspora and ethnic entrepreneurship was compiled. From there, each and every paper was identified, examined, coded and classified into high-level themes. These were then reviewed, analyzed and interpreted. Findings Indian diasporic affair has undergone numerous changes since India’s independence. This study presents a conceptual framework on the role of migration and diaspora in the country of origin with a special focus on India and point out the possible directions for future studies. Research limitations/implications The systematic review approach has a qualitative nature, in which the relevant literature was interpreted based on the authors’ domain knowledge and expertise. Practical implications Academicians and policy practitioners can gain a comprehensive understanding of the dynamic relationships among the key influential factors in migration, diaspora and its developmental role in homeland, as presented in the conceptual framework in the study. Accordingly, policymakers will be able to develop effective strategies to leverage the positive impacts of diasporic role in India and the other South-Asian developing countries. Originality/value This systematic review synthesizes the findings reported in most recent publications and government reports and develops an integrated conceptual framework, anchoring on possible positive impacts of diaspora in homeland. This framework provides a visual diagram to practitioners for a better understanding of the relevant literature and assists researchers and policymakers in developing a new strategy for future diasporic affairs.
Video saliency detection based on mutual information and background prior in compressed domain

Saliency detection has been extensively studied due to its promising contributions for various computer vision applications. In this paper, we propose a novel algorithm to detect visual saliency from compressed video signals by exploiting mutual information and background prior. First, the local center-surround contrast principle is applied to detect the foreground saliency map. Separate spatial and temporal saliency maps are generated, where the computation of these saliency maps incorporates the mutual information of feature distribution between center window and surrounding window, and motion vector and the discrete cosine transformation coefficients including luminance, color and texture are used as the essential features. Second, before combining the spatial and temporal saliency maps, the background prior and selective background features from four boundaries of the video frame are implemented to suppress the background noises. To validate the effectiveness of the method, tests are carried out on a public database and experimental results show that the proposed method outperforms the existing state-of-the-art saliency detection methods.
Molting Success of Ixodes scapularis Varies among Individual Blood Meal Hosts and Species

ABSTRACT The blacklegged tick (Ixodes scapularis) is an important vector of emerging human pathogens. It has three blood-feeding stages, as follows: larva, nymph, and adult. Owing to inefficient transovarial transmission, at least for the Lyme disease agent (Borrelia burgdorferi), larval ticks rarely hatch infected, but they can acquire infection during their larval blood meal. Nymphal ticks are primarily responsible for transmitting pathogens to hosts, including humans. The transition from uninfected host-seeking larva to infectious host-seeking nymph is therefore a key aspect of human risk of infection. It can be divided into a series of steps, as follows: finding a host, taking a blood meal, becoming infected, molting, and overwintering. The chance of succeeding in each of these steps may depend on the species identity of the blood meal host. We used a Bayesian method to estimate the molting success of larval I. scapularis collected from four commonly parasitized species of birds and eight commonly parasitized small and mid-sized mammals found in the forests of Dutchess County, New York. We show that molting success varies substantially among host species; white-footed mice, veeries, and gray catbirds support particularly high molting success, whereas ticks feeding on shorttailed shrews, robins, and wood thrushes were less successful. We also show that larval molting success varies substantially between individual blood meal hosts, and that this intraspecific variability is much higher in some species than in others. The causes of both inter- and intraspecific variation in molting success remain to be determined.