Miracle-dz/UniFAR-FTUs huggingface dataset:
A comparison between opportunistic and fair resource allocation scheduling for LTE

The increasing demand for data traffic through high capability mobile devices and the trade-off between revenues and costs for upgrading the communication infrastructures strongly push the network operators to make the best use of the available network resources, which renews and reinforces the interest on resource management strategies. In this respect, a key challenge consists in finding a proper balance between an opportunistic approach, which aims at maximizing the total amount of carried traffic, and a fairness-based approach that, instead, aims at providing some type of fairness among the users. In this paper, we compare a few resource allocation policies for the downlink channel of LTE networks in terms of aggregate capacity, user fairness, and scheduler complexity. Two schemes are based on the Hungarian method, which was designed to associate exactly one resource to each user, while minimizing the overall cost of the assignment. This method hence provides a nice tradeoff between resource exploitation and user fairness in terms of number of allocated resources. We then propose practical implementations of the Hungarian method that work even when the number of users differs from the number of available resources, and users have heterogenous channel conditions and offered traffic. In addition, we consider a third scheduler that follows a back-pressure approach, which which assignes resources to users with longer backlog in an opportunistic manner, thus pursuing both aggregate throughput maximization and fairness among users with equal traffic demand.
A comparative review of tone‐mapping algorithms for high dynamic range video

Tone‐mapping constitutes a key component within the field of high dynamic range (HDR) imaging. Its importance is manifested in the vast amount of tone‐mapping methods that can be found in the literature, which are the result of an active development in the area for more than two decades. Although these can accommodate most requirements for display of HDR images, new challenges arose with the advent of HDR video, calling for additional considerations in the design of tone‐mapping operators (TMOs). Today, a range of TMOs exist that do support video material. We are now reaching a point where most camera captured HDR videos can be prepared in high quality without visible artifacts, for the constraints of a standard display device. In this report, we set out to summarize and categorize the research in tone‐mapping as of today, distilling the most important trends and characteristics of the tone reproduction pipeline. While this gives a wide overview over the area, we then specifically focus on tone‐mapping of HDR video and the problems this medium entails. First, we formulate the major challenges a video TMO needs to address. Then, we provide a description and categorization of each of the existing video TMOs. Finally, by constructing a set of quantitative measures, we evaluate the performance of a number of the operators, in order to give a hint on which can be expected to render the least amount of artifacts. This serves as a comprehensive reference, categorization and comparative assessment of the state‐of‐the‐art in tone‐mapping for HDR video.
SIERRA: A Spatial Data System for Neuronal Data

Neuroinformatics requires the manipulation and querying of data in a spatial, visual, and relational milieu. SIERRA is a system for storing and querying neuronal data within a relational data framework, and hybridizes proven technologies (RDBMS, octrees) to meet stringent real-time visualization requirements in a simple yet elegant way.
Cooperative Limiting Localization Schemes for Wireless Sensor Networks

Wireless sensor networks have been proposed for a multitude of location-dependent applications. A reliable and low cost localization scheme will provide great advantage for the application of wireless sensor network. In this paper, a RSSI-based cooperative limiting localization algorithm is proposed. The wireless node monitors all neighbor nodes' signals, not only from beacons but also from other sister nodes. The signals are iteratively used to refine the node region by applying the theoretic signal propagation constrains. The algorithm is easy deployment and does not need pre-training. Simulation results indicate that localization precision is satisfied even deploying a few of beacons in the environment
Construction and analysis of human phosphorylation network

Phosphorylation controls the dynamic behavior and decision processes of eukaryotic cells. So far, thousands of phosphorylation sites have been discovered by proteome-wide mapping and other biochemical studies. In this study, we constructed a human phosphorylation network by using an integrated dataset of experimentally and computationally identified protein kinase-substrate information based on Phospho. ELM database. We performed topological analysis and component analysis for this network. Topological analysis showed distinct properties of this network such as scale-free, small-world, nonrandom and non-uniform. The component analysis identified that the protein kinase DNA-PK has the most substrates. We also found that its 718 substrates were significantly related to different cancers such as breast cancer, etc., by function annotation using DAVID bioinformatics resources. These results suggest that study on human phosphorylation network may contribute to better understanding of the function of protein kinases and their implication in diseases.
Geodesic tree-based dynamic programming for fast stereo reconstruction

In this paper, we present a novel tree-based dynamic programming (TDP) algorithm for efficient stereo reconstruction. We employ the geodesic distance transformation for tree construction, which results in sound image over-segmentation and can be easily parallelized on graphic processing unit (GPU). Instead of building a single tree to convey message in dynamic programming (DP), we construct multiple trees according to the image geodesic distance to allow for parallel message passing in DP. In addition to efficiency improvement, the proposed algorithm provides visually sound stereo reconstruction results. Compared with previous related approaches, our experimental results demonstrate superior performance of the proposed algorithm in terms of efficiency and accuracy.
Why Engage in Collective Action? The Conditional Effect of Social Support and Efficacy on Protest Participation

ABSTRACT Why do people engage in collective actions, such as demonstrations? We suggest that intentions to engage in protest activities come from the perception that the action is an efficient way to affect policy but is also dependent upon the level of others’ engagement. Specifically, lower support should spur intentions to engage if the individual believes that the collective act is an efficient means to bring about social change. In two experiments, manipulating social support, efficacy increased intentions to participate in collective actions but mainly for participants with low social support (Experiments 1 and 2). In Experiment 3, manipulating efficacy, high social support was related to decreased intentions to engage. However, in this study, social support did not interact with efficacy.
A promised land for educational decision-making?: present and future of learning analytics

There is increasing interest in Learning Analytics, a concept that has evolved in the last years from the status of buzzword or trend to the generation of a discipline within the educational field. In this paper, we introduce the Track on Learning Analytics within the Technological Ecosystems for Enhancing Multiculturality 2013 Conference. The paper provides a general overview of the motivations behind the proposal of this track, including a review of the current state of Learning Analytics, from its origins and a definition of the term to some pending issues for future research, which are addressed by the papers participating in the track and which hopefully will be expanded by future studies. The paper also includes an insight on the submission management and participants' selection process, which is followed by a detailed summary of the manuscripts accepted for participation in the conference and how they are linked to the track objectives.
Robustness of the vacuum wave function and other matters for Yang-Mills theory

In the first part of this paper, we present a set of simple arguments to show that the two-dimensional gauge anomaly and the (2+1)-dimensional Lorentz symmetry determine the leading Gaussian term in the vacuum wave function of (2+1)-dimensional Yang-Mills theory. This is to highlight the robustness of the wave function and its relative insensitivity to the choice of regularizations. We then comment on the correspondence with the explicit calculations done in earlier papers. We also make some comments on the nature of the gauge-invariant configuration space for Euclidean three-dimensional gauge fields (relevant to (3+1)-dimensional Yang-Mills theory)
On-line time-optimal path tracking for robots

This paper focuses on time-optimal path tracking, which involves planning of robot motions along prescribed geometric paths. Starting from a discretized convex reformulation of time-optimal path tracking problems, a log-barrier based batch solution method is presented which allows to rapidly obtain an approximate solution with smooth actuator torques. Based on this batch method, a recursive variant is derived for on-line path tracking. By means of an experimental test case in which the path data is generated on-line by human demonstration, the results and trade-offs in calculation time, delay and path duration are compared for the batch and recursive variant of the log-barrier method as well as for an exact solution method.
Expression Variation: Its Relevance to Emergence of Chronic Disease and to Therapy

Background Stochastic fluctuations in the protein turnover underlie the random emergence of neural precursor cells from initially homogenous cell population. If stochastic alteration of the levels in signal transduction networks is sufficient to spontaneously alter a phenotype, can it cause a sporadic chronic disease as well – including cancer? Methods Expression in >80 disease-free tissue environments was measured using Affymetrix microarray platform comprising 54675 probe-sets. Steps were taken to suppress the technical noise inherent to microarray experiment. Next, the integrated expression and expression variability data were aligned with the mechanistic data covering major human chronic diseases. Results Measured as class average, variability of expression of disease associated genes measured in health was higher than variability of random genes for all chronic pathologies. Anti-cancer FDA approved targets were displaying much higher variability as a class compared to random genes. Same held for magnitude of gene expression. The genes known to participate in multiple chronic disorders demonstrated the highest variability. Disease-related gene categories displayed on average more intricate regulation of biological function vs random reference, were enriched in adaptive and transient functions as well as positive feedback relationships. Conclusions A possible causative link can be suggested between normal (healthy) state gene expression variation and inception of major human pathologies, including cancer. Study of variability profiles may lead to novel diagnostic methods, therapies and better drug target prioritization. The results of the study suggest the need to advance personalized therapy development.
The Indirect Role of Fibroblast Growth Factor-8 in Defining Neurogenic Niches of the Olfactory/GnRH Systems

Bone morphogenic protein-4 (BMP4) and fibroblast growth factor-8 (FGF8) are thought to have opposite roles in defining epithelial versus neurogenic fate in the developing olfactory/vomeronasal system. In particular, FGF8 has been implicated in specification of olfactory and gonadotropin releasing hormone-1 (GnRH) neurons, as well as in controlling olfactory stem cell survival. Using different knock-in mouse lines and Cre-lox-mediated lineage tracing, Fgf8 expression and cell lineage was analyzed in the developing nose in relation to the expression of Bmp4 and its antagonist Noggin (Nog). FGF8 is expressed by cells that acquire an epidermal, respiratory cell fate and not by stem cells that acquire neuronal olfactory or vomeronasal cell fate. Ectodermal and mesenchymal sources of BMP4 control the expression of BMP/TGFβ antagonist Nog, whereas mesenchymal sources of Nog define the neurogenic borders of the olfactory pit. Fgf8 hypomorph mouse models, Fgf8neo/neo and Fgf8neo/null, displayed severe craniofacial defects together with overlapping defects in the olfactory pit including (1) lack of neuronal formation ventrally, where GnRH neurons normally form, and (2) altered expression of Bmp4 and Nog, with Nog ectopically expressed in the nasal mesenchyme and no longer defining the GnRH and vomeronasal neurogenic border. Together our data show that (1) FGF8 is not sufficient to induce ectodermal progenitors of the olfactory pit to acquire neural fate and (2) altered neurogenesis and lack of GnRH neuron specification after chronically reduced Fgf8 expression reflected dysgenesis of the nasal region and loss of a specific neurogenic permissive milieu that was defined by mesenchymal signals.
Further evidence against eye–hand coordination as a general ability

A number of companies are marketing general eye–hand coordination training devices, which are purported to enhance performance on the device and in a sporting domain. An act comprising eye–hand coordination involves the complex combination of a number of distinct functions, and an investigation of what tasks share this common factor has not been completed. There is also a lack of evidence investigating the interrelationship between different tests to assess eye–hand coordination using these devices. A number of different eye–hand coordination abilities, rather than one common factor, could potentially underpin any range of tasks involving eye–hand coordination and visual stimuli. Therefore, the present study investigated the theoretical assumption upon which such eye–hand coordination training devices are based, that is, whether eye–hand coordination is a general ability. Eighty-seven currently active sportspeople (age: 18.6 ± 0.9 years; 58 males and 29 females) completed four tests of eye–hand coordination: three laboratory tasks (the Sports Vision Trainer™; Batak Pro™; and Graded Pegboard) and a field task (wall catch test). Intercorrelations between the tasks ranged from weak to strong, but the percentage of shared variance was typically low. Overall, the results do not support the existence of a common eye–hand coordination ability underpinning the performance on general eye–hand coordination training devices. Consequently, coaches and sport scientists should be aware that training on general eye–hand coordination training devices is unlikely to transfer to sporting performances. Instead, practitioners are encouraged to explore sport-specific assessment and training of eye–hand coordination.
A Version-enabled Peer-to-peer Content Distribution System based on DHT

This paper focuses on the design and prototype of a version-enabled peer-to-peer content distribution system based on distributed hash table. The system is different from the CVS system; it manages the version at item level, not project level. The system provides the user version management functionality, which is absence in most of the current peer-to-peer content distribution network. In addition, the version management functionality can be used as a concurrent version system in team collaboration system. In such application, it provides more features such as serverless, robustness and reliability. The peer-to-peer nature of our system is more suitable to the human collaboration model than the client-server model. The system is now being prototyped using OpenDHT on Java2 platform
A Methodology for Developing Distributed Programs

A methodology, different from the existing ones, for constructing distributed programs is presented. It is based on the well-known idea of developing distributed programs via synchronous and centralized programs. The distinguishing features of the methodology are: 1) specification include process structure information and distributed programs are developed taking this information into account, 2) a new class of programs, called PPSA's, is used in the development process, and 3) a transformational approach is suggested to solve the problems inherent in the method of developing distributed programs through synchronous and centralized programs. The methodology is illustrated with an example.
Low-cost indoor positioning system using BLE (bluetooth low energy) based sensor fusion with constrained extended Kalman Filter

In this paper, a BLE (Bluetooth Low Energy) based new sensor fusion algorithm is proposed. We can estimate distance by using the signal strength from the BLE beacons. Other sensors support the estimation process which uses the proposed “constrained extended Kalman Filter”. BLE is more efficient than the existing wireless communication, and is easy to install. The proposed algorithm effectively reduces offline tasks and accurately estimates indoor position. It is verified with practical experiments.
The Role of Task-Specific Response Strategies in Blocked-Cyclic Naming

In word retrieval, speakers need to select a lexical entry among several co-activated candidates for lexicalization. How a target entry is selected is a matter of ongoing debate. Semantic context effects on naming times, as seen in the blocked-cyclic naming paradigm, are of specific interest to this debate. In the standard version of this paradigm, participants name lists of objects compiled from several repetitions (cycles) of a small set of semantically related objects (homogeneous context) or unrelated objects (heterogeneous context). In the first cycle, participants typically show either no context effect or semantic facilitation. From cycle two onward, they display a stable semantic interference effect that does not increase over cycles. In this review, I demonstrate that the early semantic facilitation effect is only observed consistently in studies that present homogeneous and heterogeneous lists in a blocked fashion. With this design, participants can easily pick up on the categorical relatedness of the items in semantically related contexts and apply this knowledge strategically. In principle, such response strategies can be easily tied in with existing models of lexical selection, but they are incompatible with accounts of semantic context effects that take the semantic facilitation effect in cycle 1 to be a consequence of processes inherent to the lexicalization process. Users of the blocked-cyclic naming paradigm should review their experimental designs carefully regarding potential response strategies. Once these are taken into account, the paradigm can be used to study lexical-semantic encoding in different populations of healthy and also impaired speakers.
Characterization of the UDP Glucuronosyltransferase Activity of Human Liver Microsomes Genotyped for the UGT1A1*28 Polymorphism

The UGT1A1*28 polymorphism is known to correlate with altered clearance of bilirubin (Gilbert syndrome) and drugs such as 7-ethyl-10-[4-(1-piperidino)-1-piperidino] carbonyloxy camptothecin (CPT-11). Although this polymorphism is clinically relevant and leads to significant drug-related toxicity of CPT-11, in vitro tools to allow prediction of how it will affect the clearance of new chemical entities have not been completely developed. To allow a more complete assessment of whether new chemical entities will be affected by the UGT1A1*28 polymorphism, a panel of microsomes was prepared from 15 donor livers genotyped as UGT1A1*1/*1, UGT1A1*1/*28, and UGT1A1*28/*28 (five donors per genotype). The microsomes were phenotyped by measuring activities of a panel of substrates, both those reported to be conjugated specifically by UGT1A1 or by other UDP glucuronosyltransferase enzymes. Bilirubin, estradiol (3-OH), ethinyl estradiol (3-OH), and 7-ethyl-10-hydroxycamptothecin (SN-38) were found to show significantly lower rates of metabolism in the UGT1A1*28/*28 microsomes with no change in Km values. In addition, microsomes genotyped as UGT1A1*1/*28 showed intermediate rates of metabolism. Acetaminophen, 3′-azido-3′-deoxythymidine, muraglitazar, estradiol (17-OH), and ethinyl estradiol (17-OH) were all found to show similar rates of metabolism regardless of UGT1A1 genotype. Interestingly, muraglitazar (UGT1A3 substrate) showed an inverse correlation with glucuronidation of UGT1A1 substrates. These genotyped microsomes should provide a useful tool to allow a more comprehensive prediction of UGT1A1 metabolism of a new drug and gain insight into the effect of the UGT1A1*28 polymorphism.
Lagrangian Decomposition Algorithm for Allocating Marketing Channels

In this paper, we formulate a new problem related to the well-known influence maximization in the context of computational advertising. Our new problem considers allocating marketing channels (e.g., TV, newspaper, and websites) to advertisers from the view point of a match maker, which was not taken into account in previous studies on the influence maximization. The objective of the problem is to find an allocation such that each advertiser can influence some given number of customers while the slots of marketing channels are limited. We propose an algorithm based on the Lagrangian decomposition. We empirically show that our algorithm computes better quality solutions than existing algorithms, scales up to graphs of 10M vertices, and performs well particularly in a parallel environment.
Research on Curricular Development for Pre-Kindergarten Mathematics and Science

Background/Context As increasing attention is paid to preparing students to succeed in school, the development and adoption of research-based curricula have become progressively more important. However, many curricular designs lack a basis in scientific evidence; research and curricular design are frequently treated as two separate enterprises. Purpose/Objective In this paper, we present the Research on Curriculum Design (RCD) model, first advanced by Clements in 2007, with results from its application to the design and iterative development of pre-kindergarten mathematics and science curricula. Research Design RCD is an example of design-based research, with the additional specific goals of the production of an effective curriculum and the evolution of theoretical guidelines to inform future curricular designs. Our implementation spanned two years and involved iterative development and testing of two, year-long curricula. Findings/Results Application of RCD methods informed our understandings of the target population, the knowledge and skills to be developed, and the theoretical and research-based models that guided the designs. Subsequent iterative development and evaluation in five pre-K classrooms enabled refinement of the curricular design, as well as the evolution of design guidelines useful for informing future curriculum development efforts. A culminating test of the resulting curricula in eight pre-K classrooms suggests the success of the RCD approach, yielding high-quality, high-fidelity teacher implementation, with teacher fidelity and curricular dosage predicting students’ mathematics learning gains across the year. Conclusions/Recommendations Results support the value of the RCD model for achieving research-based curricula that have the potential to effectively support teachers in their practice and positively impact children's early learning.