Miracle-dz/UniFAR-FTUs huggingface dataset:
Differentiation of porcine reproductive and respiratory syndrome virus European vaccine strains from Czech field isolates by restriction fragment length polymorphism analysis of ORF5 gene

Restriction fragment length polymorphism (RFLP) analysis of open reading frame 5 was developed for typing of Czech strains of porcine reproductive and respiratory syndrome virus (PRRSV). e set of restriction enzymes Acc I, Hae II and SnaB I allowed the differentiation of heterogeneous Czech strains of PRRSV clustered separately in the phylogenetic tree. e high-passage strain V-502 (164) was also differentiated from its parent strain V-502. e same restriction enzymes could distinguish the European-type vaccine strains Porcilis PRRS and Pyrsvac-183, registered in Czech Republic, from the Czech field isolates. e published ORF5 nucleotide sequences allowed us to presume that it will also be possible to distinguish most of European field strains from vaccine strains. PCR-based RFLP analysis can become a valuable tool in epidemiological studies of PRRSV in Europe.
High-Tech Optimization for Predicting Various Varieties of Paddy Grains

In recent years, many seed processing plants are emerging, among that the paddy processing unit plays a major role and a quality of paddy variety is most important. Now-a-days, classification of paddy varieties is done manually by visual inspection which is time consuming and tedious process. To overcome this, a new method is proposed based on Dual Tree Complex Wavelet Transform (DT-CWT) to automatically differentiating five varieties of paddy such as ADT-38, ADT-39, ADT-43, ASD-16, and TKM-9. In this paper first paddy kernel image is acquired, then undergone various image pre-processing steps and finally segmented based on the color and texture features. The proposed method provides efficient classification of paddy varieties.
Multimodal Imaging and Detection Strategy With 124 I-Labeled Chimeric Monoclonal Antibody cG250 for Accurate Localization and Confirmation of Extent of Disease During Laparoscopic and Open Surgical Resection of Clear Cell Renal Cell Carcinoma

Renal cell carcinoma (RCC) accounts for approximately 85% to 90% of all primary kidney malignancies, with clear cell RCC (ccRCC) constituting approximately 70% to 85% of all RCCs. This study describes an innovative multimodal imaging and detection strategy that uses 124I-labeled chimeric monoclonal antibody G250 (124I-cG250) for accurate preoperative and intraoperative localization and confirmation of extent of disease for both laparoscopic and open surgical resection of ccRCC. Two cases presented herein highlight how this technology can potentially guide complete surgical resection and confirm complete removal of all diseased tissues. This innovative 124I-cG250 (ie, 124I-girentuximab) multimodal imaging and detection approach, which would be clinically very useful to urologic surgeons, urologic medical oncologists, nuclear medicine physicians, radiologists, and pathologists who are involved in the care of ccRCC patients, holds great potential for improving the diagnostic accuracy, operative planning and approach, verification of disease resection, and monitoring for evidence of disease recurrence in ccRCC patients.
Development of a unique epigenetic signature during in vivo Th17 differentiation

Activated naive CD4+ T cells are highly plastic cells that can differentiate into various T helper (Th) cell fates characterized by the expression of effector cytokines like IFN-γ (Th1), IL-4 (Th2) or IL-17A (Th17). Although previous studies have demonstrated that epigenetic mechanisms including DNA demethylation can stabilize effector cytokine expression, a comprehensive analysis of the changes in the DNA methylation pattern during differentiation of naive T cells into Th cell subsets is lacking. Hence, we here performed a genome-wide methylome analysis of ex vivo isolated naive CD4+ T cells, Th1 and Th17 cells. We could demonstrate that naive CD4+ T cells share more demethylated regions with Th17 cells when compared to Th1 cells, and that overall Th17 cells display the highest number of demethylated regions, findings which are in line with the previously reported plasticity of Th17 cells. We could identify seven regions located in Il17a, Zfp362, Ccr6, Acsbg1, Dpp4, Rora and Dclk1 showing pronounced demethylation selectively in ex vivo isolated Th17 cells when compared to other ex vivo isolated Th cell subsets and in vitro generated Th17 cells, suggesting that this unique epigenetic signature allows identifying and functionally characterizing in vivo generated Th17 cells.
Using WordNet Glosses to Refine Google Queries

This paper describes one of the ways how to overcome some of the major limitations of current fulltext search engines. It deals with synonymy of the web search engine results by clustering them into rele- vant synonym category of given word. It employs WordNet lexical database and several linguistic approaches to classify results in search engine re- sult page (SERP) in appropriate synonym category according to Word- Net synsets. Some methods to refine the classification are proposed and some initial experiments and results are described and discussed.
Two Cases Based on Normal Parameter Reduction in Soft Sets

This paper is concerned with two cases of the normal parameter reduction in soft sets. Changing entries and adding objects in soft sets are analyzed. Then, we introduce the definition of positive and negative changed rates, and these properties are proposed. Furthermore, the theorems about normal parameter reduction are proposed after changing entries and adding objects in soft sets. And examples are provided to understand the above properties and theorems.
Supporting the Learning Process of Open Source Novices: An Evaluation of Visualization Tools

to Open Source Software (OSS) projects provides students with opportunities to experience "real-world" software development processes and practices, including the opportunity to work with large, existing, and complex code-bases and development communities. Working with OSS also poses challenges. In this paper, we look at some of the challenges students may face when learning about and joining an OSS project. We investigate how visualization tools can help streamline the initial learning process, and present results from a controlled experiment.
Distinct Functional Contributions of Primary Sensory and Association Areas to Audiovisual Integration in Object Categorization

Multisensory interactions have been demonstrated in a distributed neural system encompassing primary sensory and higher-order association areas. However, their distinct functional roles in multisensory integration remain unclear. This functional magnetic resonance imaging study dissociated the functional contributions of three cortical levels to multisensory integration in object categorization. Subjects actively categorized or passively perceived noisy auditory and visual signals emanating from everyday actions with objects. The experiment included two 2 × 2 factorial designs that manipulated either (1) the presence/absence or (2) the informativeness of the sensory inputs. These experimental manipulations revealed three patterns of audiovisual interactions. (1) In primary auditory cortices (PACs), a concurrent visual input increased the stimulus salience by amplifying the auditory response regardless of task-context. Effective connectivity analyses demonstrated that this automatic response amplification is mediated via both direct and indirect [via superior temporal sulcus (STS)] connectivity to visual cortices. (2) In STS and intraparietal sulcus (IPS), audiovisual interactions sustained the integration of higher-order object features and predicted subjects' audiovisual benefits in object categorization. (3) In the left ventrolateral prefrontal cortex (vlPFC), explicit semantic categorization resulted in suppressive audiovisual interactions as an index for multisensory facilitation of semantic retrieval and response selection. In conclusion, multisensory integration emerges at multiple processing stages within the cortical hierarchy. The distinct profiles of audiovisual interactions dissociate audiovisual salience effects in PACs, formation of object representations in STS/IPS and audiovisual facilitation of semantic categorization in vlPFC. Furthermore, in STS/IPS, the profiles of audiovisual interactions were behaviorally relevant and predicted subjects' multisensory benefits in performance accuracy.
Women’s mountaineering tourism: an empirical investigation of its theoretical constraint dimensions

Abstract The purpose of this study is to investigate the perceived constraints on participating in mountaineering tourism faced by women, and to empirically verify the dimensionality of those constraints. Survey responses from 314 female mountaineers were collected and four constraint dimensions were identified using confirmatory factor analysis. Three of these dimensions: ‘intra-personal’, ‘inter-personal’ and ‘structural’ constraints support earlier findings in the extant literature, both in general and in the adventure literature more specifically. The identification of a fourth dimension relating to ‘family’ constraints represents a theoretical contribution to the literature and an additional barrier to women’s participation in mountaineering tourism. In previous studies, ‘family’ constraints have typically been subsumed within ‘inter-personal’ or ‘intra-personal’ constraints, but have emerged as a distinctly separate constraint category for women in relation to this particular tourist activity. The findings also have important implications for adventure tourism management practice.
Pengaruh Skeptisme Profesional, Etika, Independensi, Dan Pengalaman Auditor Terhadap Opini Audit (studi Empiris Pada Kantor Akuntan Publik Di Bandung)

Abstrak Akuntan publik memiliki kewajiban untuk memberikan opini secara tepat mengenai kewajaran suatu laporan keuangan, opini audit dalam penelitian ini ditentukan oleh empat hal yaitu skeptisme profesional, etika, independensi, dan pengalaman auditor. Populasi dalam penelitian ini adalah auditor yang bekerja di Kantor Akuntan Publik (KAP) di Bandung. Sampel penelitian diambil menggunakan teknik convenience sampling dan menghasilkan responden sebanyak 51 auditor. Alat statistik yang digunakan untuk menguji hipotesis adalah regresi berganda (multiple regression). Skeptisisme profesional, independensi, etika dan pengalaman auditor berpengaruh terhadap opini audit. Penelitian yang menggunakan kuisioner dengan auditor eksternal sebagai responden disarankan untuk melakukan penelitian pada waktu KAP sedang low season, hal ini untuk memudahkan peneliti dalam mengumpulkan data. Kata kunci – Skeptisisme profesional, etika, independensi, pengalaman auditor, opini audit Abstract Public Accountant has a responsibility to provide an accurate opinion on the fairness of a financial report. In this research, audit opinion is determined by four things: professional skepticism, ethics, independence, and auditor’s experience. Population in this research were auditors working at Public Accounting Firms in Bandung. The sample was taken using convenience sampling method, resulted in 51 respondents. Statistic tools used to test the hypothesis was multiple regression. Professional skepticism, ethics, independence, and experience of the auditors influence on audit quality in the public accounting firm in Bandung. Research using questionnaires with external auditors as respondents is suggested to conduct research when the Public Accountant Firm at its low season, this is to facilitate researchers in collecting data. Keywords : professional skepticism, ethics, independence, auditor’s experience, audit opinion.
A Community-Based Approach to Personalizing Web Search

Researchers can leverage the latent knowledge created within search communities by recording users' search activities - the queries they submit and results they select - at the community level. They can use this data to build a relevance model that guides the promotion of community-relevant results during regular Web search. This discusses the collaborative Web search approach that promotes the idea that community search activities can provide valuable form of search knowledge and sharing of this knowledge makes adapting traditional search-engine results possible.
Coded Packet Transport for Optical Packet/Burst Switched Networks

This paper presents the Coded Packet Transport (CPT) scheme, a novel transport mechanism for Optical Packet/Burst Switched (OPS/OBS) networks. The CPT scheme exploits the combined benefits of source coding by erasure codes and path diversity to provide efficient means for recovering from packet loss due to contentions and path failures, and to provide non-cryptographic secrecy. In the CPT scheme, erasure coding is employed at the OPS/OBS ingress node to form coded packets, which are transmitted on disjoint paths from the ingress node to an egress node in the network. The CPT scheme allows for a unified view of Quality of Service (QoS) in OPS/OBS networks by linking the interactions between survivability, performance and secrecy. We provide analytical models that illustrate how QoS aspects of CPT are affected by the number of disjoint paths, packet overhead and processing delay.
An Approach for the Development of Agent-Oriented Distributed eLearning Center

The paper presents the approach for the development of the agent-oriented version of DeLC (Distributed eLearning Center). A re-engineering proces supported the transition from the object-component to the agent-oriented version is described. The communication between the agents and eServices will be based on the DAML-S (OWL-S) protocol.
Immunological suppression of head and neck carcinoma by dendritic cell tumor fusion vaccine

The successful treatment of cancer with dendritic cell (DC) tumor vaccine is highly dependent on the efficacy of antigen presentation and T cell activation. In the present study, a novel vaccine of DCs fused with autologous tumor cells was introduced, which had a marked ability to suppress head and neck carcinoma. DCs generated from the bone marrow of mice were fused with an autologous tumor cell line using polyethylene glycol (PEG). To observe the fused cells, confocal microscopy and FACS analysis were performed. Subsequently, the activation and proliferation of T cells, as well as animal experiments, were examined. The efficiency of DC/tumor fusion was 18.03% and T cells were well-activated by the hybrids. The volumes of tumors on the tumor-bearing mice were controlled, survival time of tumor-bearing mice was prolonged and the level of IFN-γ in serum was significantly increased compared with the control group and lysate-pulsed DC group. The results indicate that the DC/tumor fusion vaccine appears to be more effective than DCs pulsed with tumor lysate for the treatment of head and neck carcinoma, which may be useful in future clinical studies.
Statistics of visits to sites in random walks

This paper analyses the statistics of visits to a site in random walks. First general formulas will be derived, and next they will be applied to simple symmetric random walks on 1nite and in1nite lattices; the dependence of the statistics on the lattices dimensionality will also be studied. Finally, an application will be presented to explain the structure of the radio-maps that trace the supernova remnants. c © 2004 Elsevier B.V. All rights reserved. PACS: 02.50. Ey; 05.40. Fb; 46.65. +g
A new image labeling method based on content-based image retrieval and conditional random field

This paper presents a new image labeling approach that implicitly incorporates top-down information using content-based image retrieval (CBIR) with conditional random field (CRF) model. To reduce the content ambiguities a small content similar training set for CRF labeling is built using retrieved matches from CBIR. To achieve global consistency of image labeling, a novel CRF probabilistic model with a revised global factor is also presented. The proposed method is devised for large labeled databases by learning the top-down content information with CBIR and integrating CBIR retrieval information with the CRF model. The new image labeling model base on CBIR and CRF is compared with the CRF approach without retrieval and demonstrates promising results for floor labeling with Labelme database.
Information classification scheme of feedforward networks organised under unsupervised learning

Typical unsupervised learning, also called self-organisation, makes each neuron responsive to one of the input signals frequently presented. The prominent response of a neuron has been considered as a feature-detecting signal. It is found that a network organised under unsupervised learning has an information classification scheme rather than a mere ability to detect. Each bit of information is represented by an activity pattern of the set of neurons in the input layer and it is mapped into another activity pattern of the set of neurons in the output layer. Analysis of the activity pattern of multiple output neurons revealed the following tendencies beyond the feature detection by a single neuron. First, nearness and remoteness between pieces of information are emphasised by the mapping. Thus the neighbouring pieces are clustered. Secondly, the mapping emphasises the interrelationship implicit in the pieces of information and tends to categorise them. The point is discussed from a viewpoint of ultrametricity.
The Dynamics and Light Curves of Beamed Gamma-Ray Burst Afterglows

The energy requirements of gamma-ray bursts have in past been poorly constrained because of three major uncertainties: the distances to bursts, the degree of burst beaming, and the efficiency of gamma-ray production. The first of these has been resolved, with both indirect evidence (the distribution of bursts in flux and position) and direct evidence (redshifted absorption features in the afterglow spectrum of GRB 970508) pointing to cosmological distances. We now wish to address the second uncertainty. Afterglows allow a statistical test of beaming, described in an earlier paper. In this paper, we modify a standard fireball afterglow model to explore the effects of beaming on burst remnant dynamics and afterglow emission. If the burst ejecta are beamed into angle ζm, the burst remnant's evolution changes qualitatively once its bulk Lorentz factor Γ ≲ 1/ζm: before this, Γ declines as a power law of radius, while afterward, it declines exponentially. This change results in a broken power-law light curve whose late-time decay is faster than expected for a purely spherical geometry. These predictions disagree with afterglow observations of GRB 970508. We explored several variations on our model, but none seems to be able to change this result. We therefore suggest that this burst is unlikely to have been highly beamed and that its energy requirements were near those of isotropic models. More recent afterglows may offer the first practical applications for our beamed models.
Airborne remote sensing for mapping asbestos roofs in aosta valley

This paper describes the use of airborne hyperspectral remote sensing for mapping asbestos roofs in an orographic complex area in Northern Italy, the Aosta Valley. Using training samples collected during field surveys, thematic classification was able to detect the majority of asbestos surfaces. Considering the total amount of asbestos areas validation showed a correct detection of about 80%, while considering the number of asbestos roofs correctly detected this value decreased to 43%. This difference pointed out a clear relationship between data spatial resolution and asbestos roofs area. The study served as a first approach to an extensive use of the remote sensing technology for asbestos mapping over large areas and the encouraging results will support Public Administrations for decision making strategies and policies for their removal.
Dataset for "Using Adaptive Immersive Environments to Stimulate Emotional Expression and Connection in Dementia Care: Insights from User Perspectives towards SENSE-GARDEN"

This paper presents early stage research on the development of an immersive, multisensory room for people living with dementia. Dementia is considered to be a public health priority on a global level. Our research addresses the challenge of meeting individual needs in dementia care, particularly in relation to social and emotional wellbeing. We draw upon findings from 52 interviews with users, including people with mild cognitive impairment, professional caregivers, and informal caregivers. These interviews were conducted to explore initial responses towards a multisensory room called SENSE-GARDEN. Findings indicate that users view the immersive environment as a space in which a person with dementia’s sense of self can be supported and expressed with others. SENSE-GARDEN was considered to be a tool for creating emotional environments in which users can explore their life stories together with loved ones. Technology’s role in fostering emotional spaces is discussed in terms of a transactional relationship between the person with dementia, the caregiver, and the immersive environment. This research provides rationale for the study of emotional engagement and interaction not only in the SENSE-GARDEN project, but also in the wider context of welfare technology as a whole. Keywords-dementia; virtual environments; immersive technology; emotions; interpersonal relationships
Enabling autonomous capabilities in underwater robotics

Underwater operations present unique challenges and opportunities for robotic applications. These can be attributed in part to limited sensing capabilities, and to locomotion behaviours requiring control schemes adapted to specific tasks or changes in the environment. From enhancing teleoperation procedures, to providing high-level instruction, all the way to fully autonomous operations, enabling autonomous capabilities is fundamental for the successful deployment of underwater robots. This paper presents an overview of the approaches used during underwater sea trials in the coral reefs of Barbados, for two amphibious mobile robots and a set of underwater sensor nodes. We present control mechanisms used for maintaining a preset trajectory during enhanced teleoperations and discuss their experimental results. This is followed by a discussion on amphibious data gathering experiments conducted on the beach. We then present a tetherless underwater communication approach based on pure vision for high-level control of an underwater vehicle. Finally the construction details together with preliminary results from a set of distributed underwater sensor nodes are outlined.
An Axiomatic Approach to the Notion of Similarity of Individual Sequences and Their Classification

An axiomatic approach to the notion of similarity of sequences, that seems to be natural in many cases (e.g. Phylogenetic analysis), is proposed. Despite of the fact that it is not assume that the sequences are a realization of a probabilistic process (e.g. a variable-order Markov process), it is demonstrated that any classifier that fully complies with the proposed similarity axioms must be based on modeling of the training data that is contained in a (long) individual training sequence via a suffix tree with no more than O(N) leaves (or, alternatively, a table with O(N) entries) where N is the length of the test sequence. Some common classification algorithms may be slightly modified to comply with the proposed axiomatic conditions and the resulting organization of the training data, thus yielding a formal justification for their good empirical performance without relying on any a-priori (sometimes unjustified)probabilistic assumption. One such case is discussed in details.