Miracle-dz/UniFAR-FTUs huggingface dataset:
Cmv-1, a genetic locus that controls murine cytomegalovirus replication in the spleen

The genetic basis of the control of acute splenic MCMV infection was studied after intraperitoneal inoculation of the virus. Classical Mendelian analyses using C57BL/6 (resistant) and BALB/c (susceptible) parental strains disclosed an autosomal dominant non-H-2 gene that regulates splenic virus replication. The probable location of this gene, to which we have assigned the symbol Cmv-1, is on chromosome 6 as defined by the strain distribution pattern of splenic MCMV replication in CXB recombinant inbred mice. Although there is a similar hierarchy of resistance to MCMV and HSV-1 with respect to the C57BL and BALB genetic backgrounds, the strain distribution pattern of HSV-1 replication in recombinant inbred mice suggests that Cmv-1 is not involved in restricting the spread of this virus. This is the first clear identification of a non-H-2 gene regulating the magnitude of MCMV infection. Elucidation of the function of this gene may be a fundamental step towards understanding the control of systemic CMV infection.
Energy-efficient Resource Management for QoS-guaranteed Computing Clusters

A cluster computing system in data centers not only improves service availability and performance but also increase power consumption. It is a challenge to increase the performance of a cluster computing system and reduce its power consumption simultaneously. MapReduce has recently evolved in data-intensive parallel computing. It is a programming model for processing large data sets. The implementation of MapReduce typically runs on a large scale of cluster computing systems consisting of thousands of commodity machines simply called MapReduce clusters that results in high power consumption, which is a major concern by service providers such as Amazon and Yahoo. In this research, we consider a collection of cluster computing resources owned by a service provider to host an enterprise application for business customers. We investigate the problem of resource allocation for power management in MapReduce clusters. Specifically, we propose resource allocation approaches to minimizing the mean end-to-end delay of customer jobs or services under the constraints of the energy consumption and the availability of MapReduce clusters and to minimizing the energy consumption of MapReduce clusters under the availability of MapReduce clusters and the mean end-to-end delay of customer jobs or services that play an essential role in the delivery of quality of services (QoS) for customer services. Numerical experiments demonstrate that the proposed approaches are applicable and efficient to solve these resource allocation problems for power management in MapReduce clusters.
Semi-Semantic Part of Speech Annotation and Evaluation

This paper presents the semi-semantic part of speech annotation and its evaluation via Krippendorff’s for the URDU.KON-TB treebank developed for the South Asian language Urdu. The part of speech annotation with the additional subcategories of morphology and semantics provides a treebank with sufficient encoded information. The corpus used is collected from the Urdu Wikipedia and news papers. The sentences were annotated manually to ensure a high annotational quality. The inter-annotator agreement obtained after evaluation is 0.964, which lies in the range of perfect agreement on a scale. Urdu is comparatively an under-resourced language and the development of the treebank with rich part of speech annotation will have significant impact on the state-of-the-art for Urdu language processing.
Abstract--this Paper Presents an Efficient and Reliable Particle Swarm Optimization (pso) Method for the Economic Load Dispatch (eld) Problems. the Pso Method Was Developed through the Simulation of a Simplified Social System and Has Been

found to be robust in solving continuous nonlinear optimization problems in terms of accuracy of the solution and computation time and it can out perform other algorithms. The proposed algorithm is applied for the ELD of three unit & six unit thermal plant systems and extended to three plant system in which one plant is combined cycle co-generation plant. The performance of the proposed PSO method is compared with the conventional method and Genetic algorithm method and it is observed that this method is reliable and may replace effectively the conventional practices presently performed in different central load dispatch centers. The comparison of results shows that the proposed PSO method was indeed capable of obtaining higher quality solutions efficiently for ELD problems within less computation time.
MODELING SEASONAL TIME SERIES

The paper studies the seasonal time series as elements of a (…nite dimensional) Hilbert space and proves that it is always better to consider a trend together with a seasonal component even the time series seams not to has one. We give a formula that determines the seasonal component in function of the considered trend that permits to compare the dierent kind of trends.
A Novel Routing Algorithm for Network-on-Chip

In this paper, we suggest a novel routing algorithm for network-on-chip (NoC) based on multilevel congestion control (MLCC). MLCC improves the routing efficiency when NoC is in moderate or severe congestion level. MLCC decides how to do congestion control depending on the different congestion level of the routers. Our experimental results show that MLCC achieves significant better performance than other traditional routing algorithms under uniform and transpose traffic.
Genetic Analysis of an H5N2 Highly Pathogenic Avian Influenza Virus Isolated from a Chicken in a Live Bird Market in Northern Vietnam in 2012

ABSTRACT In August 2012, A/chicken/Vietnam/OIE-2215/2012 (H5N2) was isolated from a chicken in a live bird market (LBM) in Northern Vietnam. Intravenous pathogenicity test revealed that this virus is highly pathogenic in chickens. The PA, HA, NP and M, PB2 and NA, and PB1 and NS genes of the isolate were phylogenetically closely related to those of A/duck/Vietnam/OIE-2202/2012 (H5N1) of clade 2.3. 2.1, A/chicken/Vietnam/OIE-1611/2012 (H9N2) and A/chicken/Vietnam/OIE-2468/2012 (H9N2), respectively. All of these viruses were isolated from birds in LBMs in the same province. These results indicate that A/chicken/Vietnam/OIE-2215/2012 (H5N2) is a genetic reassortant and that surveillance of avian influenza in LBMs and stamping out policy are essential for the eradication of highly pathogenic avian influenza viruses from Asia.
Constraints for 3 D Graphics on the Internet

In this paper we present a ¤exible extension to support constraints in VRML97, the standard for interactive 3D graphics on the internet. After a short introduction to the dynamic concepts of VRML97, we discuss the design rationale of our extension and explain its implementation. In particular we look at how the extension is integrated into the initialization process and the rendering loop of a VRML browser, the software which loads and displays VRML scenes. So far, we implemented solvers for one-way equational and £nite domain constraints, but our architecture allows to easily add other constraint solvers.
Echocardiographic analysis of the left ventricular function in young athletes: a focus on speckle tracking imaging

Introduction The objectives were to assess the left ventricular (LV) structure and function in regularly trained young athletes, using 2 D conventional echocardiographic (echo) methods and speckle tracking echocardiography (STE). An observational cross-sectional study. Methods Thirty-three footballers and 20 healthy untrained subjects were included in the study. The systolic and diastolic LV functions were evaluated by 2D conventional echo parameters, Doppler method and STE. Results All the found values were within the normal range. The LV End Diastolic Diameter (LVED 37.24±2.08 mm/m2) and the LV Mass index (LVMi 97.93±15.58 g/m2) were significantly higher in young athletes as compared with controls. There was no difference regarding the LV systolic function assessed by conventional echo parameters in the 2 study groups. Regarding the diastolic function, the transmitral inflow velocities ratio was significantly higher in athletes (E/A = 2.10±0.49 versus 1.64±0.26, p< 0.001) but there was no difference in the filling pressure in the 2 groups. The STE demonstrated a different pattern of LV deformation in the different groups. A significant lower LV global longitudinal strain (GLS -20.68±2.05 versus -22.99±2.32 %, p<0.001) and higher radial and circumferential strains have been found in the young athletes as compared with controls. A significant relationship between the GLS values and LVED (r= 0.299, p = 0.03) and LVMi was also reported in athletes. Conclusion While conventional morphological and functional echocardiographic parameters failed to distinguish the adaptations in the athlete’s heart, deformation parameters showed a different pattern of LV mechanics in young footballers versus controls.
Image segmentation with threshold based on memristors

Memristor is a newfound circuit element that has the ability of both memory and computing, which brings new opportunity for the development of computer architecture. Image processing is a type of memory-access-intensive application, where large part of time is spent in reading and writing image data. Therefore, we consider using memristors' property of having the ability of both memory and computing to realize some basic image operations, thus avoiding or reducing memory access of image data. In this paper, we propose algorithms achieving image segmentation with threshold based on memristors. First of all, we consider 8-bit gray image segmentation with specific thresholds, including 64, 128 and 192, where the comparison step could by simple. Then, we focus on image segmentation with general threshold, where the key step is to implement comparison of two 8-bit data. We design the comparison algorithm for 8-bit data based on memristors and use it in image segmentation with general threshold. The experimental results and theoretical analysis indicate that, our design is right in function, and could reduce memory access effectively.
TKVM: A method and tool for school web sites knowledge cartography

In this article, we propose a new method TKVM (Teacher's Knowledge Visualization Method) to map school teachers' knowledge by using their school website content. We use then this generated knowledge to create knowledge-driven cartographies. School websites are essential to share information and data between users, but the knowledge contained in these websites are often informal and difficult to locate. This is due to the large amount of existing pages which make navigation more complex. Then, to simplify knowledge localization, we map the school website content and generate ontology-driven visual cartographies where users can find the school teachers' skills and knowledge. Our automatic method and tool enables us to process a large collection of web pages in a short time. Our method comprises four steps: data preparation, ontology domain construction, mapping and visualization.
Physically Distributed Learning: Adapting and Reinterpreting Physical Environments in the Development of Fraction Concepts

Five studies examined how interacting with the physical environment can support the development of fraction concepts. Nine- and 10-year-old children worked on fraction problems they could not complete mentally. Experiments 1 and 2 showed that manipulating physical pieces facilitated children's ability to develop an interpretation of fractions. Experiment 3 demonstrated that when children understood a content area well, they used their interpretations to repurpose many environments to support problem solving, whereas when they needed to learn, they were prone to the structure of the environment. Experiments 4 and 5 examined transfer after children had learned by manipulating physical pieces. Children who learned by adapting relatively unstructured environments transferred to new materials better than children who learned with "well-structured" environments that did not require equivalent adaptation. Together, the findings reveal that during physically distributed learning, the opportunity to adapt an environment permits the development of new interpretations that can advance learning.
A Modeling Study of the Climatological Current Field and the Trajectories of Upwelled Particles in the East Australian Current

Abstract The climatological current field off the coast of New South Wales, Australia, is investigated using results from a field experiment and a diagnostic, numerical modeling study. In particular, the flow dynamics are examined near Smoky Cape (30°55′S) in the vicinity of the East Australian Current separation point. Modeled velocity fields compare favorably with observed velocity measurements that were obtained in this region during November 1998. An investigation of the role of advection in the alongshore momentum equation reveals that UVx and VVy change sign about the separation point, representing a shift in the flow regime from onshore advection and southward acceleration (north of the separation) to seaward advection and weaker southward currents (south of the separation). Bottom stress increases on the continental shelf downstream of the separation point, coincident with high horizontal divergence throughout the region. South of Smoky Cape, the near-bottom flow is characterized by a low Burger n.
NLP APPLICATIONS IN EXTERNAL PLAGIARISM DETECTION

The purpose of our present research is the development of a plagiarism detector, integrating natural language processing tools with similarity measures and n-grams techniques. Our detection target included both verbatim plagiarism and slightly modified passages, in the same language; while the prototype is developed for English documents, the solution can be successfully adapted to other languages. Test results using the prototype over a corpus of documents presented high rates of precision and recall. The current research is in-line with the latest trends in paraphrasing recognition, including high levels of obfuscation, in the quest of uncovering all the forms of plagiarism.
The Development of Bann Thawai’s Mediated Economics Curriculum for Sustainable Wood-Carved Business

This article outlines the implementation of a new concept of economics knowledge in a local economics curriculum for the elementary school students in Bann Thawai, a medium-sized woodcarving village in Thailand, locally and internationally renowned for its handicrafts. Such a Local Economics Curriculum is the result of studies conducted by Thongthew (1998) and Wattanatorn (2004) on the community’s situation of production and trading transactions during 1994-1998 and 1999-2004. The curriculum emphasizes on the curriculum concept of Mediated Economics resulting from a balancing of an economic principle related to ‘modern capitalism’ and the economic principle that focuses on the economic ideas in the existing local culture and wisdom on which the villagers based their wood carving occupation. The detailed ethnographic information on the local economic way of living described in Bann Thawai village and other local villages was integrated as part of the content of the curriculum for elementary schools within the curriculum subject groups that includes Social Studies, Religions and Culture and Science in the Core Curriculum. The new Local Economics Curriculum was developed in response to the villagers’ need for necessary insights regarding their wood carving occupation. The curriculum is designed to be consistent with National Education Act of 1999 in Thailand, and incorporates the learning reform and management as well as the students’ actual lifestyles in the classroom pedagogical contents. This paper describes the original ethnographic study, and culminates in describing the Local Economic Curriculum.
Comparison of FPGA-based implementation alternatives for complex algorithms in networked embedded systems - the encryption example

Field-programmable gate arrays provide a flexible and easy-to-configure implementation platform that supports the development of tamper-proof networked embedded systems. Many of these systems employ the Advanced Encryption Standard algorithm in order to achieve a secure mode of operation. Since this algorithm is of a high computational complexity, this paper utilizes various hardware-software co-design techniques for its implementation. These techniques vary in the degree of required design expertise, the degree of how (software) functionalities are implemented in hardware logic, and the achievable speedup, which is about 12 to approximately four thousand.
Onboard monocular vision for landing of an MAV on a landing site specified by a single reference image

This paper presents a real-time monocular vision solution for MAVs to autonomously search for and land on an arbitrary landing site. The autonomous MAV is provided with only one single reference image of the landing site with an unknown size before initiating this task. To search for such landing sites, we extend a well-known visual SLAM algorithm that enables autonomous navigation of the MAV in unknown environments. A multi-scale ORB feature based method is implemented and integrated into the SLAM framework for landing site detection. We use a RANSAC-based method to locate the landing site within the map of the SLAM system, taking advantage of those map points associated with the detected landing site. We demonstrate the efficiency of the presented vision system in autonomous flight, and compare its accuracy with ground truth data provided by an external tracking system.
IL-4 and IL-13 induce Lsk, a Csk-like tyrosine kinase, in human monocytes

Lsk is a protein tyrosine kinase with homology to the COOH-terminal Src kinase (Csk). Unlike Csk that is ubiquitously expressed, Lsk has limited tissue distribution. Here we have examined the expression and regulation of Lsk and Csk in peripheral human monocytes. We have found that Lsk mRNA and protein were not expressed in resting monocytes but were induced by treatment with interleukin 4 (IL-4) or IL-13 but not by interferon gamma (IFN-gamma) or IL-2. In fact, IFN-gamma, but not IL-2, efficiently blocked Lsk induction by IL-4 or IL-13. In contrast, Csk was constitutively present in human monocytes and was upregulated by IFN-gamma but not by IL-4 or IL-13. These results suggest that despite their structural similarities, Lsk and Csk may play distinct regulatory roles in monocyte functions elicited by cytokines, with Lsk functioning specifically within the context of a Th2-type immune response.
Privity: Scalable infrastructure for enforcing privacy and security of personal information

Today, privacy and security concerns are being perceived as major roadblocks to creating vibrant marketplaces for context-aware personalized information services. Marketplace members would benefit if a trusted third-party could manage the complex privacy and security requirements associated with such services accessing end-user's personal and confidential information. This paper describes a clearinghouse approach that can foster information services marketplaces for end-users, personal and confidential information database owners, and value-added Application Service Providers (ASPs). The paper focuses on a credential-delegation crypto-system for scaling the clearinghouse by obviating the need for ASPs to proxy every request to the clearinghouse for approval.
How Good are Local Features for Classes of Geometric Objects

Recent work in object categorization often uses local image descriptors such as SIFT to learn and detect object categories. Such descriptors explicitly code local appearance and have shown impressive results on objects with sufficient local appearance statistics. However, many important object classes such as tools, cups and other man-made artifacts seem to require features that capture the respective shape and geometric layout of those object classes. Therefore this paper compares, on a novel data collection of 10 geometric object classes, various shape-based features with appearance-based descriptors such as SIFT. The analysis includes a direct comparison of feature statistics as well as results within standard recognition frameworks, which are partly intuitive, but sometimes surprising.
An Effective Method for Snow-Cover Mapping of Dense Coniferous Forests in the Upper Heihe River Basin Using Landsat Operational Land Imager Data

The Normalized Difference Snow Index (NDSI) is an effective index for snow-cover mapping at large scales, but in forested regions the identification accuracy for snow using the NDSI is low because of forest cover effects. In this study, typical evergreen coniferous forest zones on Qilian Mountain in the Upper Heihe River Basin (UHRB) were chosen as example regions. By analyzing the spectral signature of snow-covered and snow-free evergreen coniferous forests with Landsat Operational Land Imager (OLI) data, a novel spectral band ratio using near-infrared (NIR) and shortwave infrared (SWIR) bands, defined as (ρnir − ρswir)/(ρnir + ρswir), is proposed. Our research shows that this band ratio, named the normalized difference forest snow index (NDFSI), can be used to effectively distinguish snow-covered evergreen coniferous forests from snow-free evergreen coniferous forests in UHRB.
Identifying Protein Binding Hot Spots by Using Deeply Buried Atomic Contacts

Solvent accessible surface area (SASA) is an important desc riptor of protein residues and atoms. It is widely used as an outstanding feature in hot s pot prediction by many computational methods. However, SASA is not capable of distinguishing sli ht y buried residues, of which most are non hot spots, and deeply buried ones that are usually ins ide a hot spot. In this work, we propose a new descriptor for residues, atoms and for atomic c onta ts, namely “burial level”, which can capture the depth the residues are buried. We identified t he number of different kinds of the deeply buried atomic contacts at different burial level tha t are directly broken in alanine substitution, and we used these values as input for SVM to classify between h ot spot or non hot spot residues. We got an F measure of 0.6237 under the leave-one-out cross-v alidation on a data set containing 258 mutations. This performance is better than other comput ational methods.
Emerging Pedagogies in the Networked Knowledge Communities

This chapter presents the conceptual and theoretical aspects of emerging pedagogies in the Networked Knowledge Communities (NKCs). The author looks into the notions of networked knowledge communities and emerging pedagogies by analyzing their basic concepts, structures, and components. Then, the chapter explores the possibilities of emerging pedagogies as a concept and as a practice in the context of NKCs. Finally, it discusses the pedagogical implications of emerging pedagogies, specifically focusing on teachers’ knowledge bases of emerging pedagogies in the NKCs.