Miracle-dz/UniFAR-FTUs huggingface dataset:
ImplementingFT-CORBA with PortableInterceptors : LessonsLearned

In this paper , we presentthe designof OpenEDEN, an implementationof the FTCORBA specificationbasedontheuseof agroupcommunicationframework,calledEDEN. Thedesignof OpenEDENwasdrivenby thedesireto useonly portabletechniques(mainly portableinterceptors)to integratethe EDEN framework within a CORBA platform. We discussthemaindifficultieswe encounteredandwedraw someconclusionsabouttheadequacy of this choice.
Examining Gender Safety in Schools: Teacher Agency and Resistance in Two Primary Schools in Kirinyaga, Kenya

This article introduces Stein, Tolman, Porche, and Spencer’s concept of gender safety in schools (GSS) as a useful framework for providing a gendered analysis of safety and equality at the school level within the global context of the Sustainable Development Goal (SDG) 4 goal of equitable, inclusive and quality education for all. This article examines practices that support as well as undermine GSS in two primary schools in Kirinyaga County, Kenya. In these schools, individual teacher agency was the main factor enhancing GSS. Teachers’ efforts were, however, constrained by competing discourses emphasizing hierarchical administration and a narrow understanding of the school’s responsibilities. Teacher agency, therefore, was insufficient to systematically protect students and foster gender equity. The article suggests that teacher agency to enhance GSS in Kenya could be expanded through teachers’ collective empowerment using community-based networks alongside the integration of monitoring and evaluation processes in existing gender equality and child protection policies. It further recommends the GSS framework as a means for monitoring SDG 4’s commitments to gender equality and child protection in schools.
FBXW7 Mutations in Patients with Advanced Cancers: Clinical and Molecular Characteristics and Outcomes with mTOR Inhibitors

Purpose FBXW7 is a tumor suppressor gene responsible for the degradation of several proto-oncogenes. Preclinical data suggest that FBXW7 mutations sensitize cells to mTOR inhibitors. Clinicopathologic characteristics of cancer patients with FBXW7 mutations and their responses to mTOR inhibitors remain unknown. Methods Using multiplex gene panels we evaluated how the FBXW7 mutation affected the cancer phenotype of patients referred to a phase I clinic starting January 2012. Whenever possible patients positive for FBXW7 mutation were treated with regimens containing an mTOR inhibitors and their outcomes were reviewed. Results FBXW7 mutations were detected in 17 of 418 patients (4.0%). Among tumor types with more than 10 patients tested, FBXW7 mutations occurred in colorectal cancer (7/49; 14.3%), squamous cell cancer of head and neck (2/18; 11.1%), liver (1/13; 7.7%), and ovarian cancers (1/40; 2.5%). No one clinical, pathological or demographic feature was characteristic of the FBXW7-mutated patient population. The mutation occurred in isolation in only 2/17 (12%) patients, and KRAS was frequently found as a concomitant mutation, especially in patients with colorectal cancer (6/7; 86%). Ten patients were treated on a protocol containing an mTOR inhibitor, with a median time to treatment failure of 2.8 months (range, 1.3–6.8). One patient with liver cancer (fibrolamellar subtype) continues to have a prolonged stable disease for 6.8+ months. Conclusion In patients with advanced cancers, somatic mutations in FBXW7 usually occur with other simultaneous molecular aberrations, which can contribute to limited therapeutic efficacy of mTOR inhibitors.
Design of Flux Observer Robust to Parameter Variation of Interior Permanent Magnet Synchronous Motor

This paper presents a modified flux observer which is robust to the parameter variation. In this paper, the mathematical modeling of an interior permanent magnet synchronous motor (IPMSM) is shown and the proportional and integral (PI) current regulator with decoupling strategy is analyzed. The flux error terms from the current regulator are used to compensate the parameter variation. The proposed flux observer shows satisfactory performance not only in maximum torque per ampere (MTPA) region, but also in flux weakening region. The experimental results reveal the effectiveness of the proposed observer.
A Method for Lateral Motion Planning on the Biped Robot

A new non-bionic method of lateral motion based on the quasi-passive research methods is presented which need not move center of mass (COM) to supporting foot in advance. The method can be achieved in the ordinary biped robot, which has a simple, controllable increasing quality and so on. Firstly, Process of lateral motion planning of the biped robot is introduced in detail. Then, trajectory of COM of the biped robot is analyzed by Lagrangian method and the feet and other parts are also planned in the different time of step. Finally, stability analysis and Optimized approach of the method has provided. The results of experiment show that the results of experiment in my paper show that the method is feasibility and validity.
From ranking to intransitive preference learning: rock-paper-scissors and beyond

In different fields like decision making, psychology, game theory and biology, it has been observed that paired-comparison data like preference relations defined by humans and animals can be intransitive. The relations may resemble the well-known game of rock-paper-scissors. In the game, rock defeats scissors and scissors defeat paper, but rock loses to paper. Intransitive relations cannot be modelled with existing machine learning methods like ranking models, because these models exhibit strong transitivity properties. More specifically, in a stochastic context, where often the reciprocity property characterizes probabilistic relations such as choice probabilities, it has been formally shown that ranking models always satisfy the well-known strong stochastic transitivity property. Given this limitation of ranking models, we present a new kernel function that together with the regularized least-squares algorithm is capable of inferring intransitive reciprocal relations in problems where transitivity violations cannot be considered as noise. In this approach it is the kernel function that defines the transition from learning transitive to learning intransitive relations, and the Kronecker-product is introduced for representing the latter type of relations. In addition, we empirically demonstrate on two benchmark problems in game theory and biology that our algorithm outperforms methods not capable of learning intransitive reciprocal relations.
Students’ Perceptions of Optional English Preparatory Program: A Case Study in a Turkish University

Teachers’ methods, students’ perceptions in the prep-class and the literature review related show that determining language teaching methods and taking students’ needs and perceptions into consideration in prep-classes could considerably affect the language learning process. Thus, this current study aims to examine the expectations of Turkish prep-class students who studied for one-year in optional prep-classes. A mixed methods convergent design was employed, using an adapted needs analysis questionnaire and unstructured interviews. The sample consisted of 110 graduate prep-class students from different departments in a state university. The results indicate that the majority of Turkish prep-class students think enrolling in the prep-class program is necessary; however, they lost their motivation for some reasons due to learning processes, systems or subjective factors. Besides, they expressed that materials were not suitable enough to improve their level of English and, in general, the prep-class program failed to meet their expectations in relation to program content and language learning processes. Regarding the four language skills, they expressed that productive skills should be given much more importance rather than receptive skills. In conclusion, instructors should try to motivate students more with the help of a variety of authentic materials and technological facilities and they should create an atmosphere in which productive skills are improved. Furthermore, the study suggests that the continuation of language learning processes should be ensured throughout the undergraduate program period, not just in the prep-class and makes some practical recommendations for researchers and educators.
A Middle Layer Open Architecture to Search Query based Web Services over the Public Web

Web Services are the server side procedures provided to the web clients and web programmers to improve the application environment. When the service search is performed respective to particular keyword, there exists number of possible web service with almost same functionality. In such case, the comparative analysis is required in terms of availability, response time and security features of a web service so that effective selection of web service will be done. In this present work a web service search environment is defined that will first search the webservice based on keyword analysis and later on will index them under the availability and response time parameters. The work includes the indexing of web services under different parameters where each parameter will be assigned by a specific weightage. In this paper, the algorithmic work is defined for the web service identification and selection over the web.
On the connection between marginal problem , statistical estimation , and Möbius formula

A solution to the marginal problem is obtained in a form of parametric exponential (Gibbs-Markov) distribution, where the unknown parameters are obtained by an optimization procedure that agrees with the maximum likelihood (ML) estimate. With respect to a difficult performance of the method we propose also an alternative approach, providing the original basis of marginals can be appropriately extended. Then the (numerically feasible) solution can be obtained either by the maximum pseudo-likelihood (MPL) estimate, or directly by Möbius formula.
A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation Using First-Order Logic

Topic models have been used successfully for a variety of problems, often in the form of application-specific extensions of the basic Latent Dirichlet Allocation (LDA) model. Because deriving these new models in order to encode domain knowledge can be difficult and time-consuming, we propose the Foldċall model, which allows the user to specify general domain knowledge in First-Order Logic (FOL). However, combining topic modeling with FOL can result in inference problems beyond the capabilities of existing techniques. We have therefore developed a scalable inference technique using stochastic gradient descent which may also be useful to the Markov Logic Network (MLN) research community. Experiments demonstrate the expressive power of Foldċall, as well as the scalability of our proposed inference method.
Blind equalization of SIMO channels via spatio-temporal anti-Hebbian learning rule

This paper presents a new distributed processing approach to "direct" blind equalization of single-input multi-output (SIMO) channels. Under mild conditions, it is shown that we can recover the original source signal up to its scaled and delayed version by decorrelating the equalizer (neural network) outputs in spatio-temporal domain. The "spatio-temporal anti-Hebbian" learning rule (simple, local, biologically plausible) is derived from an information-theoretic approach and is applied for spatio-temporal decorrelation. A linear feedback neural network with FIR synapses (trained by spatio-temporal anti-Hebbian learning rule) is proposed and is shown to be a good candidate for the equalizer. Computer simulation experiments confirm the validity and high performance of the proposed neural network with the associated learning algorithm.
Weak lensing study of dark matter filaments and application to the binary cluster A 222 and A 223

We present a weak lensing analysis of the double cluster system Abell 222 and Abell 223. The lensing reconstruction shows evidence for a possible dark matter filament connecting both clusters. The case for a filamentary connection between A 222/223 is supported by an analysis of the galaxy density and X-ray emission between the clusters. Using the results of N-body simulations, we try to develop a criterion that separates this system into cluster and filament regions. The aim is to find a technique that allows the quantification of the significance of ( weak lensing) filament candidates in close pairs of clusters. While this mostly fails, the aperture quadrupole statistics (Schneider & Bartelmann 1997, MNRAS, 286, 696) shows some promise in this area. The cluster masses determined from weak lensing in this system are considerably lower than those previously determined from spectroscopic and X-ray observations (Dietrich et al. 2002, A & A, 394, 395; Proust et al. 2000, A& A, 355, 443; David et al. 1999, ApJ, 519, 533). Additionally, we report the serendipitous weak lensing detection of a previously unknown cluster in the field of this double cluster system.
A Method to Evaluate the Synergic Effect in Collaborative Information Seeking

of the strongest appeals of collaboration is th at it allows collaborators achieve something greater than the su m of their individual contributions. This notion, which we ref erred to as synergy, has been understudied in information seeki ng domain. To address this shortcoming, here we outline an app roach to study and evaluate the synergic effect in collaborative i nformation seeking (CIS). Our main contributions consist of a method of evaluation, a set of measures, and a system for exp erimentation. This approach has been applied to several of our re cent works relating to CIS, and shown to be very promising for studying user- driven collaborative projects.
Perfect Sampling and Coupling Times for Assemble-To-Order

We develop perfect sampling algorithms for a family of assemble-to-order systems. Due to the nite capacity, and coupling in demands and replenishments, the exact solving techniques are inecient for larger problem instances. We rst consider the case with individual replenishments of items, and derive an event based representation of the Markov chain that allows applying existing perfect sampling techniques (using the monotonicity properties or bounding chains). In the case of joint replenishments, the state space becomes intractable for the existing methods. We propose a new perfect sampling method, based on aggregation and bounding chains, that allows a signicant reduction of the state space of the Markov chain. We also discuss the coupling times of considered models and provide sucient conditions for linear (in the single server replenishment case) or quadratic (many server case) complexity of our algorithms in terms of the total capacity in the system. 1
Action Detection in Crowd

For automated surveillance, it is useful to detect specific actions performed by people in busy natural environments. This differs from and thus more challenging than the intensively studied action recognition problem in that for action detection in crowd an action of interest is often overwhelmed by large number of background activities of other objects in the scene. Motivated by the success of sliding-window based 2D object detection approaches, in this paper, we propose to tackle the problem by learning a discriminative classifier from annotated 3D action cuboids to capture the intra-class variation, and sliding 3D search windows for detection. The key innovation of our method is a novel greedy k nearest neighbour algorithm for automated annotation of positive training data, by which an action detector can be learned with only a single training sequence being annotated thus greatly alleviating the tedious and unreliable 3D manual annotation. Extensive experiments on real-world action detection datasets demonstrate that our detector trained with minimal annotation can achieve comparable results to that learned with full annotation, and outperforms existing methods.
Murine Macrophages Secrete Interferon γ upon Combined Stimulation with Interleukin (IL)-12 and IL-18: A Novel Pathway of Autocrine Macrophage Activation

Interferon (IFN)-γ, a key immunoregulatory cytokine, has been thought to be produced solely by activated T cells and natural killer cells. In this study, we show that murine bone marrow– derived macrophages (BMMΦ) secrete large amounts of IFN-γ upon appropriate stimulation. Although interleukin (IL)-12 and IL-18 alone induce low levels of IFN-γ mRNA transcripts, the combined stimulation of BMMΦ with both cytokines leads to the efficient production of IFN-γ protein. The macrophage-derived IFN-γ is biologically active as shown by induction of inducible nitric oxide synthase as well as upregulation of CD40 in macrophages. Our findings uncover a novel pathway of autocrine macrophage activation by demonstrating that the macrophage is not only a key cell type responding to IFN-γ but also a potent IFN-γ–producing cell.
On Moduli Stabilization Scheme in Type IIB Flux Compactifications

We revisit the two-stage procedure for moduli stabilization in Type IIB orientifolds at light K\"ahler-modulus limit. In view of the necessity to keep the K\"ahler geometry structure of the moduli space during the stabilization, we define a holomorphic quantity called effective superpotential. The KKLT superpotential as well as the superpotential proposed by Villadoro and Zwirner are then examined with respect to this holomorphic effective superpotential. The mechanism is also illustrated with a simple toy model of one complex structure modulus.
Automated Unit Testing of JavaScript Code through Symbolic Executor SymJS

JavaScript is expected to be a programming language of even wider use, considering demands for more interactive web/mobile applications and deployment in server-side software. While reliability of JavaScript code will be of more importance, testing techniques for the language remain insufficient, compared to other languages. We propose a technique to automatically generate high-coverage unit tests for JavaScript code. The technique makes use of symbolic execution engine for JavaScript, and symbolic stub/driver generation engine, which injects symbolic variables to system under test. Our methodology allows for automatic generation of input data for unit testing of JavaScript code with high coverage, which ensures quality of target code with reduced effort. Keywords–JavaScript; test generation; symbolic execution; symbolic stub and driver generation.
Jet Formation in Black Hole Accretion Systems I: Theoretical Unification Model

Two types of relativistic jets are suggested to form near accreting black holes: a potentially ultrarelativistic Poynting-dominated jet and a Poynting-baryon jet. One source of jet matter is electron-positron pair production, which is driven by neutrino annihilation in GRBs and photon annihilation in AGN and x-ray binaries. GRB Poynting-dominated jets are also loaded by electron-proton pairs by the collisional cascade of Fick-diffused free neutrons. We show that, for the collapsar model, the neutrino-driven enthalpy flux (classic fireball model) is probably dominated by the Blandford-Znajek energy flux, which predicts a jet Lorentz factor of $\Gamma\sim 100-1000$. We show that radiatively inefficient AGN, such as M87, are synchrotron-cooling limited to $\Gamma\sim 2-10$. Radiatively efficient x-ray binaries, such as GRS1915+105, are Compton-drag limited to $\Gamma \lesssim 2$, but the jet may be destroyed by Compton drag. However, the Poynting-baryon jet is a collimated outflow with $\Gamma \sim 1-3$. The jet from radiatively efficient systems, such as microquasar GRS1915+105, may instead be a Poynting-baryon jet that is only relativistic when the disk is geometrically thick. In a companion paper, general relativistic hydromagnetic simulations of black hole accretion with pair creation are used to simulate jet formation in GRBs, AGN, and x-ray binaries.
Sensemaking with Tweeting: Exploiting Microblogging for Knowledge Workers

Just because the rules surrounding microblogging services are simple does not mean that tools support for them should be simple too. Microblogging generates volumes of interesting social content, but there is a lack of frameworks and tools that allow us to exploit such information and enhance knowledge workers’ sensemaking. Beyond adoption, we believe that new promising research directions on microblogging include designing and evaluating tools that extract and exploit social information. In this paper, we discuss a number
Interaction of Bovine Peripheral Blood Polymorphonuclear Cells and Leptospira Species; Innate Responses in the Natural Bovine Reservoir Host

Cattle are the reservoir hosts of Leptospira borgpetersenii serovar Hardjo, and can also be reservoir hosts of other Leptospira species such as L. kirschneri, and Leptospira interrogans. As a reservoir host, cattle shed Leptospira, infecting other animals, including humans. Previous studies with human and murine neutrophils have shown activation of neutrophil extracellular trap or NET formation, and upregulation of inflammatory mediators by neutrophils in the presence of Leptospira. Humans, companion animals and most widely studied models of Leptospirosis are of acute infection, hallmarked by systemic inflammatory response, neutrophilia, and septicemia. In contrast, cattle exhibit chronic infection with few outward clinical signs aside from reproductive failure. Taking into consideration that there is host species variation in innate immunity, especially in pathogen recognition and response, the interaction of bovine peripheral blood polymorphonuclear cells (PMNs) and several Leptospira strains was evaluated. Studies including bovine-adapted strains, human pathogen strains, a saprophyte and inactivated organisms. Incubation of PMNs with Leptospira did induce slight activation of neutrophil NETs, greater than unstimulated cells but less than the quantity from E. coli P4 stimulated PMNs. Very low but significant from non-stimulated, levels of reactive oxygen peroxides were produced in the presence of all Leptospira strains and E. coli P4. Similarly, significant levels of reactive nitrogen intermediaries (NO2) was produced from PMNs when incubated with the Leptospira strains and greater quantities in the presence of E. coli P4. PMNs incubated with Leptospira induced RNA transcripts of IL-1β, MIP-1α, and TNF-α, with greater amounts induced by live organisms when compared to heat-inactivated leptospires. Transcript for inflammatory cytokine IL-8 was also induced, at similar levels regardless of Leptospira strain or viability. However, incubation of Leptospira strains with bovine PMNs did not affect Leptospira viability as measured by limiting dilution culture. This is in contrast to previously reported results of innate inflammatory activation by Leptospira in human and other animal models, or the activation and interaction of bovine PMNs with Escherichia coli and other bacterial pathogens. While it could be hypothesized that variations in innate receptor recognition, specifically variance in toll-like receptor 2, could underlie the observed reduction of activation in bovine PMNs, additional studies would be needed to explore this possibility. Reduction in neutrophil responses may help to establish nearly asymptomatic chronic Leptospira infection of cattle. This study emphasizes the importance of studying host-pathogen relationships in the appropriate species as extrapolation from other animal models may be incorrect and confounded by differences in the host responses.