Miracle-dz/UniFAR-FTUs huggingface dataset:
Sampling Trajectory Streams with Spatiotemporal Criteria

Monitoring movement of high-dimensional points is essential for environmental databases, geospatial applications, and biodiversity informatics as it reveals crucial information about data evolution, provenance detection, pattern matching etc. Despite recent research interest on processing continuous queries in the context of spatiotemporal data streams, the main focus is on managing the current location of numerous moving objects. In this paper, we turn our attention onto a historical perspective of movement and examine trajectories generated by streaming positional updates. The key challenge is how to maintain a concise, yet quite reliable summary of each object's movement, avoiding any superfluous details and saving in processing complexity and communication cost. We propose two single-pass approximation techniques based on sampling that take advantage of the spatial locality and temporal timeliness inherent in trajectory streams. As a means of reducing substantially the scale of the datasets, we utilize heuristic prediction to distinguish which locations to preserve in the compressed trajectories. A comprehensive experimental study verifies the stability and robustness of the proposed techniques and demonstrates that intelligent compression schemes are able to act as effective load shedding operators achieving remarkable results
Genome-Wide Survey Reveals Transcriptional Differences Underlying the Contrasting Trichome Phenotypes of Two Sister Desert Poplars

Trichomes, which are widely used as an important diagnostic characteristic in plant species delimitation, play important roles in plant defense and adaptation to adverse environments. In this study, we used two sister poplar species, Populus pruinosa and Populus euphratica—which have, respectively, dense and sparse trichomes—to examine the genetic differences associated with these contrasting phenotypes. The results showed that 42 and 45 genes could be identified as candidate genes related to trichomes in P. pruinosa and P. euphratica, respectively; most of these genes possessed high degrees of diversification in their coding sequences, but they were similar in intron/exon structure in the two species. We also found that most of the candidate trichome genes were expressed at higher levels in P. pruinosa, which has dense trichomes, than in P. euphratica, where there are few trichomes. Based on analyses of transcriptional profiles, a total of 195 genes, including many transcription factors, were found to show distinct differences in expression. The results of gene function annotation suggested that the genes identified as having contrasting levels of expression level are mainly associated with trichome elongation, ATPase activity, and hormone transduction. Changes in the expression of these and other related genes with high sequence diversification may have contributed to the contrast in the pattern of trichome phenotypes between the two species.
PUMPING IONS: RAPID PARALLEL EVOLUTION OF IONIC REGULATION FOLLOWING HABITAT INVASIONS

Marine to freshwater colonizations constitute among the most dramatic evolutionary transitions in the history of life. This study examined evolution of ionic regulation following saline‐to‐freshwater transitions in an invasive species. In recent years, the copepod Eurytemora affinis has invaded freshwater habitats multiple times independently. We found parallel evolutionary shifts in ion‐motive enzyme activity (V‐type H+ ATPase, Na+/K+‐ATPase) across independent invasions and in replicate laboratory selection experiments. Freshwater populations exhibited increased V‐type H+ ATPase activity in fresh water (0 PSU) and declines at higher salinity (15 PSU) relative to saline populations. This shift represented marked evolutionary increases in plasticity. In contrast, freshwater populations displayed reduced Na+/K+‐ATPase activity across all salinities. Most notably, modifying salinity alone during laboratory selection experiments recapitulated the evolutionary shifts in V‐type H+ ATPase activity observed in nature. Maternal and embryonic acclimation could not account for the observed shifts in enzyme activity. V‐type H+ ATPase function has been hypothesized to be critical for freshwater and terrestrial adaptations, but evolution of this enzyme function had not been previously demonstrated in the context of habitat transitions. Moreover, the speed of these evolutionary shifts was remarkable, within a few generations in the laboratory and a few decades in the wild.
Ethyl 2-(bromomethyl)-5-methoxy-1-phenylsulfonyl-1H-indole-3-carboxylate

In the title compound, C19H18BrNO5S, the plane of the phenyl ring forms a dihedral angle of 76.99 (6)° with the indole ring system. The Br atom is disordered over two positions, with site-occupancy factors of 0.833 (14) and 0.167 (14). The molecular structure is stabilized by weak intramolecular C—H⋯O interactions and the crystal packing is stabilized by weak intermolecular C—H⋯O interactions.
Efficient Network Tomography for Internet Topology Discovery

Accurate and timely identification of the router-level topology of the Internet is one of the major unresolved problems in Internet research. Topology recovery via tomographic inference is potentially an attractive complement to standard methods that use TTL-limited probes. Unfortunately, limitations of prior tomographic techniques make timely resolution of large-scale topologies impossible due to the requirement of an infeasible number of measurements. In this paper, we describe new techniques that aim toward efficient tomographic inference for accurate router-level topology measurement. We introduce methodologies based on Depth-First Search (DFS) ordering that clusters end-hosts based on shared infrastructure and enables the logical tree topology of a network to be recovered accurately and efficiently. We evaluate the capabilities of our algorithms in large-scale simulation and find that our methods will reconstruct topologies using less than 2% of the measurements required by exhaustive methods and less than 15% of the measurements needed by the current state-of-the-art tomographic approach. We also present results from a study of the live Internet where we show our DFS-based methodologies can recover the logical router-level topology more accurately and with fewer probes than prior techniques.
A New Backoff Algorithm for IEEE 802.11 Distributed Coordination Function

DCF (Distributed Coordination Function) of IEEE802.11 MAC protocols uses binary exponential increasing mechanism, called BEB (Binary Exponential Backoff) algorithm. Due to the lack of a mechanism evaluating the channel condition, it can not tune the value of contention windows adaptively, according to the actual network traffic. By introducing the network allocation vector count in routing protocol to approximate the intensity of surrounding traffic of nodes, the algorithm has been improved, so that the contention windows of backoff mechanism are adjusted reasonably according to the traffic of WLAN. Simulation experiments are done and the results prove that the improved algorithm provides a better channel utilization and reduces the average transmission delay.
Monitoring biodegradation capacity of organic pollutants in the environment

Micro-organismen zijn in staat om organische verbindingen om te zetten in minder schadelijke stoffen en spelen daarom een belangrijke rol bij het opruimen van milieuvervuiling. Voor beleidsmakers, landgebruikers en landeigenaren is het belangrijk dat er bij milieuverontreiniging goed toezicht wordt gehouden op de biologische afbraakprocessen en dat deze goed worden beheerst. Aangezien microbiele activiteit in het milieu wordt beinvloed door diverse fysische, geochemische en biologische factoren, is nauwkeurige kennis van het afbraakproces hierbij noodzakelijk. In dit promotieonderzoek wordt de relatie tussen geochemische condities en de biologische afbraakcapaciteit van micro-organismen in het milieu beschreven, inclusief methoden om de activiteit en metabole functies van deze micro-organismen in het milieu te meten
Retargeted Multi-View Feature Learning With Separate and Shared Subspace Uncovering

Multi-view feature learning aims at improving the performances of learning tasks, by fusing various kinds of features (views), such as heterogeneous features and/or homogeneous features. Current leading multi-view feature learning approaches usually learn features in each view separately while not uncovering shared information from multiple views. In this paper, we propose a multi-view feature learning framework, which can simultaneously learn separate subspace for each view and shared subspace for all the views, respectively; specifically, the separate subspace for each view can preserve the particular information within this view, meanwhile, the shared subspace can capture feature correlation among multiple views. Both the particularity and communality are essential for classification. Furthermore, we relax the labels of training samples within the concatenated subspaces, thus resulting in the retargeted least square regression (LSR) classifier. The transformation matrices tailored for each subspace within the corresponding view and the label relaxed LSR classifier are jointly learned in a unified framework, based on an efficient alternative optimization manner. Extensive experiments on four benchmark data sets well demonstrate the superiority of the proposed method, which has led to better performances than compared counterpart methods.
Quality-centric design of Peer-to-Peer systems for live-video broadcasting

Ce document presente la definition, le developpement et l'evaluation d'une architecture P2P pour la diffusion de video en direct. La conception est orientee vers la Qualite d'Experience (QoE) au lieu de la traditionnelle Qualite de Service, via sa composante principale ici, la qualite percue par les utilisateurs finaux. Nous etendons la methodologie PSQA (pseudo—Subjective Quality Assessment) recemment proposee pour la mesure, automatique et temps reel, de la qualite video percue. Ensuite, nous proposons une technique de streaming multi-source avec une signalisation extremement faible. Nous decrivons une methode de conception basee dans PSQA, qui permet un controle fin de la decomposition du stream en sous-streams, ainsi que de la redondance ajoutee, en fonction de la dynamique du reseau. Nous presentons egalement une structure arborescente de reseau permettant le controle de la topologie par optimisation de la qualite globale esperee (evalue en utilisant PSQA). Nous etudions comment etendre le reseau avec deux services complementaires : video a la demande et « MyTV » et proposons une strategie de recherche dans les caches maximisant le nombre de reponses correctes aux requetes sur les videos, etant donnee une dynamique particuliere des contenus et des restrictions de bande passante. La conception globale de ces systemes (architectures P2P, services associes) est basee dans des scenarios realistes, avec des donnees reelles sur un service existant de distribution video. Notre prototype completement operationnel est une application de logiciel libre, basee sur des technologies eprouvees et nos resultats de recherche, executable sur plusieurs systemes operatifs.
Theoretical model for the responding time in low permeability reservoirs

As an important index in oilfield development, flood-response time can be used to describe the effect of water flooding in porous media. The responding time in low permeability reservoir is usually calculated by the method of stable state successive substitution neglecting the effect of medium deformation. Numerous studies show that the media deformation has an important impact on the development for low permeability reservoirs and can not be neglected. On the base of streamline tube model, we developed a method to interpret responding time with medium deformation factor. The results show that: the media deformation factor, threshold pressure gradient and well spacing have a significant effect on the flood response time. With the greater the media deformation factor, threshold pressure gradient or well spacing, the flooding response time becomes slower. As the angle with the main streamline increases, the water flooding response time delays as a “parabola” shape.
Parts identification and motion estimation on CT scanned assembly meshes

Along with the recent improvements of the industrial X-ray CT scanning systems, it is now possible to non-destructively acquire the entire meshes of mechanical assemblies. This technology has the potential to realize an advanced inspection of assemblies, such as examining assembling errors or dynamic behaviors in motion using the meshes reflecting really-assembled situations. However, to realize such advance inspections, it is required to identify each part and to estimate their motions in the meshes.
DP-SLAM: Fast, Robust Simultaneous Localization and Mapping Without Predetermined Landmarks

A fundamental task for reasoning with preferences is the following: given input preference information from a user, and outcomes α and β, should we infer that the user will prefer α to β? For CP-nets and related comparative preference formalisms, inferring a preference of α over β using the standard definition of derived preference appears to be extremely hard, and has been proved to be PSPACE-complete in general for CP-nets. Such inference is also rather conservative, only making the assumption of transitivity. This paper defines a less conservative approach to inference which can be applied for very general forms of input. It is shown to be efficient for expressive comparative preference languages, allowing comparisons between arbitrary partial tuples (including complete assignments), and with the preferences being ceteris paribus or not.
Developing a Survey to Measure Best Practices of K-12 Online Instructors

Limited data exists related to teaching and learning in K-12 virtual schools. This paper builds upon a recent study related to successful practices of K-12 online instructors. The paper describes the utilization of a survey built upon qualitatively derived best practices of K-12 online instructors and provides the opportunity to relate these practices to teacher’s perceived professional development needs. Outcomes indicate that virtual school instructors identify online presence, diligent student monitoring and an enjoyment of technology among factors that contribute to virtual school instructor success. Instructors also identified face-to-face student mentors as a key component for success. Respondents felt that they would benefit from professional development focused on technological skills, content-based technological integration and evaluative resources for online learners. The paper concludes with a call for additional research to refine and implement the assessment.
Diabetic Mice Treatment in Type 1 Diabetes in Nonobese Cells after Anti-CD20 + The Role of Gr1

Studies suggest that Gr1 + CD11b + cells have immunoregulatory function, and these cells may play an important role in autoimmune diseases. In this study, we investigated the regulatory role of Gr1 + CD11b + cells in protecting against type 1 diabetes in NOD mice. In this study, we showed that temporary B cell depletion induced the expansion of Gr1 + CD11b + cells. Gr1 + CD11b + cells not only directly suppress diabetogenic T cell function but also can induce regulatory T cell differentiation in a TGF- b –dependent manner. Furthermore, we found that Gr1 + CD11b + cells could suppress diabetogenic CD4 and CD8 T cell function in an IL-10–, NO-, and cell contact-dependent manner. Interestingly, single anti-Gr1 mAb treatment can also induce a transient expansion of Gr1 + CD11b + cells that delayed diabetes development in NOD mice. Our data suggest that Gr1 + CD11b + cells contribute to the establishment of immune tolerance to pancreatic islet autoimmunity. Manipulation of Gr1 + CD11b + cells could be considered as a novel immunotherapy for the prevention of type 1 diabetes. The Journal of Immunology , 2012, 188: 000–000.
A Comparative Clinical Trial of Mitomycin C and Cyclosporin a in Trabeculectomy

This prospective, randomized clinical trial assessed the effects of mitomycin C and cyclosporin A used as antimetabolites in trabeculectomy on the post-operative IOP and success rate. Eighty-six consecutive patients were randomly allocated to three treatment groups. There were 30 patients in the mitomycin C group, 28 in the cyclosporin A group and 28 in the control group. The follow-up periods were different for the three groups and ranged from 6 to 30 months. The treatment groups consisted of primary open-angle glaucoma, closed-angle glaucoma, various secondary glaucomas and prior failed trabeculectomy. There were no significant differences pre-operatively with respect to IOP and number of medications used (p>0.05). Postoperative IOP was considered to be successfully reduced when it was reduced by more than 25% from baseline or when it was lower than 20 mmHg. According to these criteria, IOP was under control in 90% of the mitomycin C treated eyes, 85.7% of cyclosporin A treated eyes and 71.4% of the control eyes. Postoperatively there was a significant decrease in IOP (p<0.01) and in the number of medications needed to control IOP (p<0.01) in the mitomycin C and cyclosporin A groups. Post-operative IOP and number of medications in the mitomycin C and cyclosporin A groups were similar. Complications encountered in the three groups were similar. There were no serious complications like hypotonus maculopathy. Our study highlights the utility of mitomycin C as an adjunct in glaucoma filtering surgery and indicates that cyclosporin A may also be used as an antimetabolite.
Quasi multi-mode resonator for wideband filter applications

This paper presents a compact planar bandpass filter that comprises of multiple coupled-line sections to exhibit a wideband elliptic function response. The equivalent circuit representing the proposed resonator structure was synthesized using a conventional coupled-line J-inverter model. The electrical length of the transmission-line connecting the two inverters is λ/6, thus effectively reducing its physical size compared to existing designs. The proposed filter structure using triple coupled quasi multi-mode resonators provides a frequency response with a wide 3-dB fractional bandwidth of 50%, and the two transmission zeros at the upper and lower stop-bands provide a highly sharp cut-off response with a low passband insertion-loss and good return-loss characteristics.
Improving Switch Lowering for The LLVM Compiler System

Switch-case statements (or switches) provide a natural way to express multiway branching control flow semantics. They are common in many applications including compilers, parsers, text processing programs, virtual machines. Various optimizations for switches has been studied for many years. This paper presents the description of switch lowering refactoring recently made for the LLVM Compiler System [1].
Ranking-based clustering of heterogeneous information networks with star network schema

A heterogeneous information network is an information network composed of multiple types of objects. Clustering on such a network may lead to better understanding of both hidden structures of the network and the individual role played by every object in each cluster. However, although clustering on homogeneous networks has been studied over decades, clustering on heterogeneous networks has not been addressed until recently. A recent study proposed a new algorithm, RankClus, for clustering on bi-typed heterogeneous networks. However, a real-world network may consist of more than two types, and the interactions among multi-typed objects play a key role at disclosing the rich semantics that a network carries. In this paper, we study clustering of multi-typed heterogeneous networks with a star network schema and propose a novel algorithm, NetClus, that utilizes links across multityped objects to generate high-quality net-clusters. An iterative enhancement method is developed that leads to effective ranking-based clustering in such heterogeneous networks. Our experiments on DBLP data show that NetClus generates more accurate clustering results than the baseline topic model algorithm PLSA and the recently proposed algorithm, RankClus. Further, NetClus generates informative clusters, presenting good ranking and cluster membership information for each attribute object in each net-cluster.
The Plight of Transnational Latina Mothers: Mothering from a Distance

Economic globalization, trade agreements, and revolutionary changes in transportation and communication have fueled a steady increase in international migration. Foreign-born Latinas, driven by a strong desire to escape poverty and to improve life for their children, face difficult decisions as transnational mothers. These women emigrate from their countries of origin, leaving their children behind with relatives. After overcoming the hardships and dangers involved in a clandestine crossing of the U.S.-Mexico border, they continue to suffer the pain of separation from their children and to hope for eventual family reunification. This study focuses on the experiences of eight Latina transnational mothers and calls for reflection and solidarity by nurses and other health care professionals in order to influence the dynamics of social, economic, and political actions to relieve social suffering.
Spatiotemporal Dynamics of Bimanual Integration in Human Somatosensory Cortex and Their Relevance to Bimanual Object Manipulation

Little is known about the spatiotemporal dynamics of cortical responses that integrate slightly asynchronous somatosensory inputs from both hands. This study aimed to clarify the timing and magnitude of interhemispheric interactions during early integration of bimanual somatosensory information in different somatosensory regions and their relevance for bimanual object manipulation and exploration. Using multi-fiber probabilistic diffusion tractography and MEG source analysis of conditioning-test (C-T) median nerve somatosensory evoked fields in healthy human subjects, we sought to extract measures of structural and effective callosal connectivity between different somatosensory cortical regions and correlated them with bimanual tactile task performance. Neuromagnetic responses were found in major somatosensory regions, i.e., primary somatosensory cortex SI, secondary somatosensory cortex SII, posterior parietal cortex, and premotor cortex. Contralateral to the test stimulus, SII activity was maximally suppressed by 51% at C-T intervals of 40 and 60 ms. This interhemispheric inhibition of the contralateral SII source activity correlated directly and topographically specifically with the fractional anisotropy of callosal fibers interconnecting SII. Thus, the putative pathway that mediated inhibitory interhemispheric interactions in SII was a transcallosal route from ipsilateral to contralateral SII. Moreover, interhemispheric inhibition of SII source activity correlated directly with bimanual tactile task performance. These findings were exclusive to SII. Our data suggest that early interhemispheric somatosensory integration primarily occurs in SII, is mediated by callosal fibers that interconnect homologous SII areas, and has behavioral importance for bimanual object manipulation and exploration.
Multi-objectivity for brain-behavior evolution of a physically-embodied organism

In this paper, we present a pareto multi-objective approach for evolving the behavior and brain (an artificial neural network (ANN)) of embodied artificial creatures. We will attempt to simultaneously minimize the network size while maximizing horizontal locomotion. A variety of network sizes and behaviors were generated by the pareto approach. The best networks exhibited a higher level of sensory-motor coordination and the creature was able to maintain the walking behavior under different environmental setups.