Miracle-dz/UniFAR-FTUs huggingface dataset:
Solution of Large-scale LP Problems Using MIP Solvers: Repeated Assignment Problem

With the rapid increase in computing powers in these few decades, today we can solve LP problems with thousands of variables and constraints easily using free or commercial MIP solvers such as CPLEX and XPRESS-MP on conventional personal computers. However, we frequently encounter problems with more than a million variables/constraints, and such a problem is often intractable in our ordinary computing environment. In this paper we consider a repeated assignment problem (RAP) as an example of such a large-scale problem, and show how this can be treated by employing the delayed inclusion technique
Image Segmentation Using Grabcut Based on Anisotropic Diffusion

Image segmentation is a technique used to extract the foreground object from background image. In this paper Grabcut framework is used to extract the object from the background. Color and Texture feature is used as discriminating feature for object extraction. Region based image segmentation is done in this paper. For Texture feature extraction, Structure Tensor is used for finding the correct boundary/edge of the needed object. Smoothing is done using Anisotropic diffusion which will preserve the edges from dislocation. If dislocation in edges arises, it is difficult to get proper segmentation. In this paper, details of anisotropic diffusion is given and it tells how the image quality will be increased using this method.
Measuring High and Low Priority Defects on Traditional and Mobile Open Source Software

Software defects are the major cause for system failures. To effectively design tools and provide support for detecting and recovering from software failures, requires a deep un- derstanding of defect features. In this paper we present an analysis of defect characteristics in two different open source software development domains: Mobile and Traditional. Our attention is focused on measuring the differences between High-Priority and Low-Priority defects. High or Low priority of a given defect is decided by a developer when creating a bug report for an issue tracking system. We sampled hundreds of real world bugs in hundreds of large and representative open-source projects. We used natural language text classifi- cation techniques to automatically analyse roughly 700,000 bug reports from the Bugzilla, Jira and Google Issues issue tracking systems. Results show that there are differences between High-Priority and Low-Priority defects classification in Mobile and Traditional development domains.
Stable parameter settings for PI router mixing TCP and UDP traffic

Research reveals that the fluid-based model can describe the dynamic behavior for bottleneck networks. The stability of the fluid-model can inflect whether there is a congestion of the network. A fluid-based model combined TCP and UDP under PI mechanism has been presented in this paper. We linearized the fluid-model equation and educe two propositions. Based on the fluid model, we linearized this model and added the feedback control mechanism that is introduced by PI, and educed two propositions. Based on two propositions, we can present design guidelines for choosing network parameters that lead to stable operation of the linear feedback control system. We also performed simulations using Matlab and NS2, and the results show that our analysis is suitable.
A Family of Alltop Functions that are EA-Inequivalent to the Cubic Function

Sequences with optimal correlation properties are much sought after for applications in communication systems. In 1980, Alltop (IEEE Trans. Inf. Theory 26(3):350-354, 1980) described a set of sequences based on a cubic function and showed that these sequences were optimal with respect to the known bounds on auto and crosscorrelation. Subsequently these sequences were used to construct mutually unbiased bases (MUBs), a structure of importance in quantum information theory. The key feature of this cubic function is that its difference function is a planar function. Functions with planar difference functions have been called Alltop functions. This paper provides a new family of Alltop functions and establishes the use of Alltop functions for construction of sequence sets and MUBs.
The Molecular Line Opacity of MgH in Cool Stellar Atmospheres

A new, complete, theoretical rotational and vibrational line list for the A 2Π ← X 2Σ+ electronic transition in MgH is presented. The list includes transition energies and oscillator strengths for all possible allowed transitions and was computed using the best available theoretical potential energies and dipole transition moment function with the former adjusted to account for experimental data. The A ← X line list as well as new line lists for the B′ 2Σ+ ← X 2Σ+ and the X 2Σ+ ← X 2Σ+ (pure rovibrational) transitions were included in comprehensive stellar atmosphere models for M, L, and T dwarfs and solar-type stars. The resulting spectra, when compared to models lacking MgH, show that MgH provides significant opacity in the visible between 4400 and 5600 Å. Further comparison of the spectra obtained with the current line list to spectra obtained using the line list constructed by Kurucz show that the Kurucz list significantly overestimates the opacity due to MgH, particularly for the bands near 5150 and 4800 Å, with the discrepancy increasing with decreasing effective temperature.
Detailed Spectral Study of an Ultra-Luminous Compact X-Ray Source, M81 X-9, in the Disk-Dominated State

We report on the results of detailed spectral studies of the ultra-luminous X-ray source (ULX), M81 X-9 (Holmberg IX X-1), made with XMM-Newton on 2001 April 22 and with ASCA on 1999 April 6. On both occasions, the source showed an unabsorbed 0.5-10 keV luminosity of ~2E40 erg/s (assuming a distance of 3.4Mpc) and a soft spectrum apparently represented by a multi-color disk model with an innermost disk temperature of 1.3-1.5 keV. Adding a power-law model further improved the fit. However, as previously reported, the high luminosity cannot be reconciled with the high disk temperature within a framework of the standard accretion disk radiating at a sub-Eddington luminosity. Therefore, we modified the multi-color disk model, and allowed the local disk temperature to scale as r^(-p) on the distance r from the black hole, with p being a free parameter. We then found that the XMM-Newton and the ASCA spectra can be both reproduced successfully with p~0.6 and the innermost disk temperature of 1.4-1.8 keV. These flatter temperature profiles suggest deviation from the standard Shakura-Sunyaev disk, and are consistent with predictions of a slim disk model.
Infection with Chlamydia trachomatis alters the tyrosine phosphorylation and/or localization of several host cell proteins including cortactin

Infection of epithelial cells by two biovars of Chlamydia trachomatis results in the tyrosine phosphorylation of several host proteins. The most prominent change in host protein tyrosine phosphorylation involves a complex of proteins with molecular masses of 75 to 85 kDa (pp75/85) and 100 kDa (pp100). The C. trachomatis-induced tyrosine phosphorylation of pp75/85 and pp100 is observed in several cell lines, including epithelial cells, fibroblasts, and macrophages. Subcellular fractionation and detergent solubility properties of pp75/85 are consistent with its association with the cytoskeleton. Phosphoamino acid analysis demonstrates that the pp75/85 complex is phosphorylated on both tyrosine and serine residues. Immunofluorescence studies of chlamydia-infected cells by using fluorescein isothiocyanate-phalloidin and antibodies to phosphotyrosine and cortactin demonstrate that tyrosine-phosphorylated proteins, as well as cortactin, are localized to the chlamydial vacuole and that this process is facilitated by actin.
Targeted Sequencing of Large Genomic Regions with CATCH-Seq

Current target enrichment systems for large-scale next-generation sequencing typically require synthetic oligonucleotides used as capture reagents to isolate sequences of interest. The majority of target enrichment reagents are focused on gene coding regions or promoters en masse. Here we introduce development of a customizable targeted capture system using biotinylated RNA probe baits transcribed from sheared bacterial artificial chromosome clone templates that enables capture of large, contiguous blocks of the genome for sequencing applications. This clone adapted template capture hybridization sequencing (CATCH-Seq) procedure can be used to capture both coding and non-coding regions of a gene, and resolve the boundaries of copy number variations within a genomic target site. Furthermore, libraries constructed with methylated adapters prior to solution hybridization also enable targeted bisulfite sequencing. We applied CATCH-Seq to diverse targets ranging in size from 125 kb to 3.5 Mb. Our approach provides a simple and cost effective alternative to other capture platforms because of template-based, enzymatic probe synthesis and the lack of oligonucleotide design costs. Given its similarity in procedure, CATCH-Seq can also be performed in parallel with commercial systems.
Image Segmentation Based on Graph Theoretical Approach to Improve the Quality of Image Segmentation

Graph based image segmentation techniques are considered to be one of the most efficient segmentation techniques which are mainly used as time & space efficient methods for real time applications. How ever, there is need to focus on improving the quality of segmented images obtained from the earlier graph based methods. This paper proposes an improvement to the graph based image segmentation methods already described in the literature. We contribute to the existing method by proposing the use of a weighted Euclidean distance to calculate the edge weight which is the key element in building the graph. We also propose a slight modification of the segmentation method already described in the literature, which results in selection of more prominent edges in the graph. The experimental results show the improvement in the segmentation quality as compared to the methods that already exist, with a slight compromise in efficiency.
What Animal Models are Best to Test Novel Rheumatoid Arthritis Therapies

The relevance of animal models of rheumatoid arthritis and their relationship to the development of anti- arthritic therapies is reviewed in depth. Different mechanisms for the induction of experimental arthritis, including infectious processes, non-specific inflammation, autoimmune responses to cartilage components, and genetic manipulation are discussed in context of pathological pathways relevant to rheumatoid arthritis. A variety of species, including rats, mice, dogs, pigs, and monkey are examined for advantages and drawbacks in preclinical development of anti-arthritic agents, and their capacity to mimic critical aspects of arthritis pathology. The history of anti-arthritic therapy from non-steroidal anti-inflammatory agents to biological response modifiers is placed in context with the evolution of animal models of arthritis. The potential of novel models based upon targeted gene manipulations and corresponding pathway-specific drugs is examined as a new approach to identifying therapies relevant to rheumatoid disease.
Effects of sequence elements in the potato virus X RNA 5′ non-translated αβ-leader on its translation enhancing activity

The 5′ non-translated αβ-leader sequence of potato virus X RNA consists of two regions: the α sequence (41 nucleotides with no G) and the β sequence (42 nucleotides upstream from AUG). The αβ-leader has been shown to enhance strongly the expression of adjacent genes in chimeric mRNAs. This phenomenon has been postulated to be due to the unpaired conformation of the 5′-terminal 30 nucleotides and/or to the presence within the α region of the CCACC pentanucleotide complementary to the 3′-terminal conserved structure of 18S rRNA. Different derivatives of αβ-leader have been constructed for use in determining the contribution of separate elements of the αβ sequence to translational enhancement. It was found that deletion of the α sequence large fragment which was supposed to be unfolded did not reduce the Δαβ-leader enhancement activity. Moreover, translational enhancement was greater for this derivative. Deletion of the β sequence resulted in a considerable increase in activity of the α-leader showing that the β region was dispensable for translation. Disruption or ‘masking’ of CCACC led to inactivation of the αβ-leader as a translational enhancer. Thus, we identified the CCACC pentanucleotide as the primary motif responsible for the translation enhancing ability of αβ-leader.
Student Understanding and Engagement in a Class Employing COMPS Computer Mediated Problem Solving: A First Look

COMPS is a web-delivered computer-mediated problem solving environment designed for supporting instructional activities in mathematics. It is being developed as a platform for student collaborative exploratory learning using problemspecific affordances. COMPS will support computer-aided monitoring and assessment of these dialogues. In this paper we report on the first use of COMPS in the classroom, supporting an exercise in quantitative problem-solving. We have identified a number of categories of dialogue contribution that will be useful for monitoring and assessing the dialogue and built classifiers for recognizing these contributions. Regarding the usability of the interface for problem-solving exercises, the primary unexpected behavior is an increase (compared to in-person exercises) in off-task activity and concomitant decrease in shared construction of the answer. Its first large deployment will be for Math 110, a quantitative literacy class at Valparaiso University.
Teaching in Higher Education: Is There a Need for Training in Pedagogy in Graduate Degree Programs?.

The number of students graduating with masters’ and doctoral degrees from the State University System of Florida (SUSF) has increased over the past thirty years. However, no research has been conducted concerning the preparation of graduates to teach in higher education. PK-12 teachers are taught how to teach. Should college and university faculty members also receive instruction in pedagogy? Graduate curricula have a focus on a discipline’s knowledge base and research. It is postulated that college and university faculty members should possess pedagogical skills, have knowledge of lesson planning, and know how to deliver content. This research sought to ascertain professors’ level of perceived need for graduate degree programs to include training in pedagogy that prepares students to teach in higher education. To what extent do university professors perceive a need for graduate degree programs to include training in pedagogy to prepare students to teach in higher education was the research question behind the inquiry. Two hundred full and part-time faculty members in the State University System of Florida responded to survey items, which rendered an overall mean that addressed the research question.
Genome-Wide Identification of Long Noncoding RNAs in CD8+ T Cells1

Previous research into the molecular mechanisms that underlie Ag-specific CD8+ T cell differentiation and function has largely focused on the role of proteins. However, it is now apparent that the mammalian genome expresses large numbers of long (>200 nt) nonprotein-coding RNAs (ncRNAs), and there is increasing evidence that these RNAs have important regulatory functions, particularly in the regulation of epigenetic processes underpinning cell differentiation. In this study, we show that CD8+ T cells express hundreds of long ncRNAs, many of which are lymphoid-specific and/or change dynamically with lymphocyte differentiation or activation. Numerous ncRNAs surround or overlap immunologically important protein-coding genes and can be predicted to function via a range of regulatory mechanisms. The overlap of many long ncRNAs expressed in CD8+ T cells with microRNAs and small interfering RNAs further suggests that long ncRNAs may be processed into and exert their effects via smaller functional species. Finally, we show that the majority of long ncRNAs expressed in CD8+ T cells harbor signatures of evolutionary conservation, secondary structures, and/or regulated promoters, further supporting their functionality. Taken together, our findings represent the first systematic discovery of long ncRNAs expressed in CD8+ T cells and suggest that many of these transcripts are likely to play a role in adaptive immunity.
Data Staging Strategies and Their Impact on the Execution of Scientific Workflows

Data intensive workflows process and generate large amounts of data. Strategies employed to stage data in and out of compute resources can often have a significant impact on the overall execution of a workflow. We study the relationships between data placement services that perform the staging and workflow managers that control the release of computational jobs. We describe a framework that classifies data staging strategies into decoupled, loosely-coupled and tightly-coupled modes, based on the degree of their interaction with the workflow manager. We present the results of simulation studies that investigate the effect of decoupled, loosely-coupled and tightly-coupled data staging strategies on synthetic workflows resembling those from real world scientific applications.
An Exploration on Cross Hedging Method of Chinese Steel Enterprises for Spot Iron Ore and Enlightenments

In order to transfer the huge risk of iron ore spot market, to begin with, this paper analyzes the relationship between spot and future price of rebar and presents that rebar futures (RB) in Shanghai Futures Exchange (SHFE) can reflect concerning information efficiently. Secondly, based on the close relationship between SHEF RB settlement price and iron ore price, it attempts to hedge the risk in spot iron ore with RB futures. Besides, based on the study of this paper, it gives some recommendations.
Transferring Collective Knowledge: Teaching and Learning in the Chinese Auto Industry

This article studies teaching and learning strategies that firms use to transfer collective knowledge between organizations. The benefits of group teaching and group learning in transferring collective knowledge from a source community to a recipient community are discussed first, followed by an examination of international R&D capability transfer in the Chinese auto industry, based on interviews at multiple ventures in China and the US. Several results emerge from the study. Group teaching is more effective than individual teaching in helping recipients understand multiple dimensions of a source’s collective knowledge and in creating bridge networks, and group learning is more effective than individual learning for helping trainees integrate their learning and then re-embed it with their local context. Among four teaching–learning configurations, group teaching–group learning is the most effective transfer strategy for transferring collective knowledge. Individual teaching–individual learning transfers collective knowledge poorly, but can lay a foundation for more complex teaching–learning combinations. The sequence of group teaching– individual learning followed by individual teaching–group learning is less costly than group–group education but takes longer and is less effective for transferring collective knowledge.
Personnel Motivation as Correlate of Organizational Commitment in Academic Libraries in Lagos State, Nigeria

Commitment is crucial to the survival and fulfillment of any academic library’s mandate. Unfortunately, high personnel turnover and mobility appear to have characterized academic libraries in Nigeria. Could this be because they are not motivated enough for them to remain committed to their libraries? Hence this study explores the relationship between personnel motivation and organizational commitment in academic libraries in Lagos State. A survey research design was used. The population consisted of 224 personnel in academic libraries in Lagos State. Using total enumeration all 224 library personnel participated in the study. For data collection a questionnaire was used. A response rate of 81% was obtained. Data was analyzed using include descriptive statistics, Correlation and linear regression analysis. The findings revealed that on the overall, library personnel had average level of commitment (mean=2.73). However, there appear to be more of Affective Commitment (mean=2.88), followed by Normative Commitment (mean=2.82) and then Continuance Commitment (mean=2.48). Library personnel motivation was at an average level (mean=2.95). The tested hypothesis revealed that motivation is not significantly related to Commitment (r=0.09, P>0.05). This may imply that other factors other than motivation are responsible for organizational commitment. Organizational commitment remains pertinent to fulfilling the mandate of any academic library. Therefore, policies and programs that will help maintain the affective commitment of its personnel and work towards improving normative commitment and continuance commitment should be put in place.
Technique of source code obfuscation based on data flow and control flow tansformations

This paper mainly present a solution to cross platform problem about the obfuscation in C/C++ source code, and describe the principle and performance of source code obfuscation algorithm, such as layout obfuscation, data flow obfuscation and control structure flow obfuscation. And it analysis's the obfuscation algorithm's performance of the strength, flexibility, and cost by experimentation. Finally, it discusses the prospect of the research and application of the source code obfuscation technology.
Adaptive kernel-based object tracking with robust appereance model using particle filter

In this paper we propose a method to real time kernel-based human tracking for dealing with partial occlusion. While the target is occluded by background or other objects, the kernel parameters change which adaptively improves the target model. In addition, the number of particles increases in the next frame. To attain the appropriate accuracy in tracking, we use multifeature to describe the target. The color histogram feature is robust to scale, orientation, partial occlusion and non-rigidity of the object. However, this feature is sensitive to illumination variations. Therefore, we utilize the combination of color histogram and generalized LBP for object edge points to describe an appropriate target model. The performance of this method is evaluated for real world scenarios such as PETS benchmark in which the target is occluded by the background or other objects.
Correcting real-word spelling errors by restoring lexical cohesion

Spelling errors that happen to result in a real word in the lexicon cannot be detected by a conventional spelling checker. We present a method for detecting and correcting many such errors by identifying tokens that are semantically unrelated to their context and are spelling variations of words that would be related to the context. Relatedness to context is determined by a measure of semantic distance initially proposed by Jiang and Conrath (1997). We tested the method on an artificial corpus of errors; it achieved recall of 23–50% and precision of 18–25%.