Miracle-dz/UniFAR-FTUs huggingface dataset:
FPSSeer: Visual analysis of game frame rate data

The rate at which frames are rendered in a computer game directly influences both game playability and enjoyability. Players frequently have to deal with the trade-off between high frame rates and good resolution. Analyzing patterns in frame rate data and their correlation with the overall game performance is important in designing games (e.g., graphic card/display setting suggestion and game performance measurement). However, this task is challenging because game frame rates vary both temporally and spatially. In addition, players may adjust their display settings based on their gaming experience and hardware conditions, which further contributes to the unpredictability of frame rates. In this paper, we present a comprehensive visual analytics system FPSSeer, to help game designers gain insight into frame rate data. Our system consists of four major views: 1) a frame rate view to show the overall distribution in a geographic scale, 2) a grid view to show the frame rate distribution and grid element clusters based on their similarity, 3) a FootRiver view to reveal the temporal patterns in game condition changes and potential spatiotemporal correlations, and 4) a comparison view to evaluate game performance discrepancy under different game tests. The real-world case studies demonstrate the effectiveness of our system. The system has been applied to an online commercial game to monitor its performance and to provide feedbacks to designers and developers.
Hypergraph-Based Analysis of Clustered Co-Operative Beamforming With Application to Edge Caching

The evaluation of the performance of clustered co-operative beamforming in cellular networks generally requires the solution of complex nonconvex optimization problems. In this letter, a framework based on a hypergraph formalism is proposed that enables the derivation of a performance characterization of clustered cooperative beamforming in terms of per-user degrees of freedom (DoF) via the efficient solution of a coloring problem. An emerging scenario in which clusters of co-operative base stations (BSs) arise is given by cellular networks with edge caching. In fact, clusters of BSs that share the same requested files can jointly beamform the corresponding encoded signals. Based on this observation, the proposed framework is applied to obtain quantitative insights into the optimal use of cache and backhaul resources in cellular systems with edge caching. Numerical examples are provided to illustrate the merits of the proposed framework.
The Effects of Treadmill Exercise Training on Hip Bone Density and Tibial Bone Geometry in Stroke Survivors: A Pilot Study

Background. Individuals with stroke often sustain bone loss on the hemiparetic side and are prone to fragility fractures. Exercise training may be a viable way to promote bone mineral density (BMD) and geometry in this population. Objective. This was a pilot study to evaluate the effects of a 6-month treadmill exercise program on hip BMD and tibial bone geometry in chronic stroke survivors. Methods. Twenty-one individuals with chronic stroke, with a mean age of 64.5 years and mean poststroke duration of 8.3 years participated in the study. The treatment group underwent a treadmill gait exercise program (two 1-hour sessions per week for 6 months), whereas the control group participated in their usual self-selected activities in the community. The primary outcomes were hip BMD and bone geometry of the midshaft tibia on the paretic side, whereas the secondary outcomes were gait velocity, endurance, leg muscle strength, balance self-efficacy, and physical activity level. Mann-Whitney U tests were used to compare the change in all outcome variables between the 2 groups after treatment. Results. Significant between-group differences in change scores of tibial cortical thickness (P = .016), endurance ( P = .029), leg muscle strength on the paretic side (P < .001) and nonparetic side (P < .001), balance self-efficacy (P = .016), and physical activity level (P = .023) were found. Conclusion . The treadmill exercise program induced a modest improvement in tibial bone geometry in individuals with chronic stroke. Further studies are required to explore the optimal training protocol for promoting favorable changes in bone parameters following stroke.
LLL Reduction Achieves the Receive Diversity in MIMO Decoding

Diversity order is an important measure for the performance of communication systems over multiple-input-multiple-output (MIMO) fading channels. In this correspondence, we prove that in MIMO multiple- access systems (or MIMO point-to-point systems with V-BLAST transmission), lattice-reduction-aided decoding achieves the maximum receive diversity (which is equal to the number of receive antennas). Also, we prove that the naive lattice decoding (which discards the out-of-region decoded points) achieves the maximum diversity.
Link prediction with social vector clocks

State-of-the-art link prediction utilizes combinations of complex features derived from network panel data. We here show that computationally less expensive features can achieve the same performance in the common scenario in which the data is available as a sequence of interactions. Our features are based on social vector clocks, an adaptation of the vector-clock concept introduced in distributed computing to social interaction networks. In fact, our experiments suggest that by taking into account the order and spacing of interactions, social vector clocks exploit different aspects of link formation so that their combination with previous approaches yields the most accurate predictor to date.
Optimal Amplify-and-Forward Precode and Relay Amplifying Matrices

A cooperative amplify-and-forward (AF) wireless relay scheme consisting of M sources, N relays, and L destinations all equipped with a single antenna is studied in this paper. The main objective is to design jointly and iteratively the closed-form of minimum mean square error (MMSE)-based source precode and relay amplifying matrices under a jamming environment with transmit power constraints and aggregate power constraints. With the derived optimal source precode and relay amplifying matrices, the jamming influence on system performance with both transmit and aggregate power constraints is examined numerically by using Monte-Carlo simulations.
3D Multi User Learning Environment Management - An Exploratory Study on Student Engagement with the Learning Environment

3D Multi User Virtual Environments (3D MUVE), or commonly known as 3D virtual worlds, are expanding their application domains from their introduction. These simulated environments with 3D support can be seen as useful applications that facilitate our various needs. Using 3D virtual worlds for supporting learning has shown promising results, introducing a new type of learning platform, known as 3D Multi User Learning Environments (3D MULE). In effect, 3D learning environments based on Multi-User Virtual worlds are a growing feature of UK education (Kirriemuir, 2010). Leading universities are interested in, and have been researching on, applications of this novel technology for their learning needs. 3D MUVE support more intuitive activities for learning complex and advanced concepts. 3D virtual worlds are particularly appropriate for educational use due to their alignment with Kolb's (Kolb, et al. 2001) concept of experiential learning, and learning through experimentation as a particular form of exploration (Allison et al., 2008). Interactive 3D virtual environments demonstrate a great educational potential due to their ability to engage learners in the exploration, construction and manipulation of virtual objects, structures and metaphorical representations of ideas (Dalgarno et al., 2009).
Visor: Video Surveillance Online Repository

Aim of the Visor Project [1] is to gather and make freely available a repository of surveillance and video footages for the research community on pattern recognition and multimedia retrieval. The goal is to create an open forum and a free repository to exchange, compare and discuss results of many problems in video surveillance and retrieval. Together with the videos, the repository contains metadata annotation, both manually annotated as ground-truth and automatically obtained by video surveillance systems. Annotation refers to a large ontology of concepts on surveillance and security related objects and events. The ontology has been defined including concepts from LSCOM and MediaMill ontologies. As well as videos and annotations, Visor provides tools for enriching the ontology, annotating new videos, searching by textual queries, composing and downloading videos.
Documenting and automating collateral evolutions in linux device drivers

The internal libraries of Linux are evolving rapidly, to address new requirements and improve performance. These evolutions, however, entail a massive problem of collateral evolution in Linux device drivers: for every change that affects an API, all dependent drivers must be updated accordingly. Manually performing such collateral evolutions is time-consuming and unreliable, and has lead to errors when modifications have not been done consistently. In this paper, we present an automatic program transformation tool Coccinelle, for documenting and automating device driver collateral evolutions. Because Linux programmers are accustomed to manipulating program modifications in terms of patch files, this tool uses a language based on the patch syntax to express transformations, extending patches to semantic patches. Coccinelle preserves the coding style of the original driver, as would a human programmer. We have evaluated our approach on 62 representative collateral evolutions that were previously performed manually in Linux 2.5 and 2.6. On a test suite of over 5800 relevant driver files, the semantic patches for these collateral evolutions update over 93% of the files completely. In the remaining cases, the user is typically alerted to a partial match against the driver code, identifying the files that must be considered manually. We have additionally identified over 150 driver files where the maintainer made an error in performing the collateral evolution, but Coccinelle transforms the code correctly. Finally, several patches derived from the use of Coccinelle have been accepted into the Linux kernel.
Double DQN method for object detection

This paper proposes an object detection strategy with a deep reinforcement learning method Double DQN in which, given an image window, a deep reinforcement learning agent is trained to determine which predefined region candidates to focus the attention on. In the Double DQN framework, the first DQN is used to select an action to search the target region and the second is to evaluate the selected action. In order to verify the efficiency of our method, we compare the performance of Double DQN with the traditional DQN. Experiments indicate Double DQN has good results with higher precision and recall. The number of actions performed by the Double DQN agent are analyzed and the results show that the object can be found within very few steps. We also conducted an experiment on person detection, the results show that the algorithm has strong adaptive ability.
Sequential phosphorylation of GRASP65 during mitotic Golgi disassembly

Summary GRASP65 phosphorylation during mitosis and dephosphorylation after mitosis are required for Golgi disassembly and reassembly during the cell cycle. At least eight phosphorylation sites on GRASP65 have been identified, but whether they are modified in a coordinated fashion during mitosis is so far unknown. In this study, we raised phospho-specific antibodies that recognize phosphorylated T220/T224, S277 and S376 residues of GRASP65, respectively. Biochemical analysis showed that cdc2 phosphorylates all three sites, while plk1 enhances the phosphorylation. Microscopic studies using these antibodies for double and triple labeling demonstrate sequential phosphorylation and dephosphorylation during the cell cycle. S277 and S376 are phosphorylated from late G2 phase through metaphase until telophase when the new Golgi is reassembled. T220/224 is not modified until prophase, but is highly modified from prometaphase to anaphase. In metaphase, phospho-T220/224 signal localizes on both Golgi haze and mitotic Golgi clusters that represent dispersed Golgi vesicles and Golgi remnants, respectively, while phospho-S277 and S376 labeling is more concentrated on mitotic Golgi clusters. Expression of a phosphorylation-resistant GRASP65 mutant T220A/T224A inhibited mitotic Golgi fragmentation to a much larger extent than the expression of the S277A and S376A mutants. In cytokinesis, T220/224 dephosphorylation occurs prior to that of S277, but after S376. This study provides evidence that GRASP65 is sequentially phosphorylated and dephosphorylated during mitosis at different sites to orchestrate Golgi disassembly and reassembly during cell division, with phosphorylation of the T220/224 site being most critical in the process.
A Role for Estrogen in Schizophrenia: Clinical and Preclinical Findings

Gender differences in schizophrenia have been extensively researched and it is being increasingly accepted that gonadal steroids are strongly attributed to this phenomenon. Of the various hormones implicated, the estrogen hypothesis has been the most widely researched one and it postulates that estrogen exerts a protective effect by buffering females against the development and severity of the illness. In this review, we comprehensively analyse studies that have investigated the effects of estrogen, in particular 17β-estradiol, in clinical, animal, and molecular research with relevance to schizophrenia. Specifically, we discuss the current evidence on estrogen dysfunction in schizophrenia patients and review the clinical findings on the use of estradiol as an adjunctive treatment in schizophrenia patients. Preclinical research that has used animal models and molecular probes to investigate estradiol's underlying protective mechanisms is also substantially discussed, with particular focus on estradiol's impact on the major neurotransmitter systems implicated in schizophrenia, namely, the dopamine, serotonin, and glutamate systems.
Error analysis of approximated PCRLBs for nonlinear dynamics

In practical nonlinear filtering, the assessment of achievable filtering performance is important. In this paper, we focus on the problem of efficiently approximate the posterior Cramer-Rao lower bound (CRLB) in a recursive manner. By using Gaussian assumptions, two types of approximations for calculating the CRLB are proposed: An exact model using the state estimate as well as a Taylor-series-expanded model using both of the state estimate and its error covariance, are derived. Moreover, the difference between the two approximated CRLBs is also formulated analytically. By employing the particle filter (PF) and the unscented Kalman filter (UKF) to compute, simulation results reveal that the approximated CRLB using meancovariance- based model outperforms that using the mean-based exact model. It is also shown that the theoretical difference between the estimated CRLBs can be improved through an improved filtering method.
Overview of the TREC 2014 Federated Web Search Track

The TREC Federated Web Search track facilitates research in topics related to federated web search, by providing a large realistic data collection sampled from a multitude of online search engines. The FedWeb 2013 challenges of Resource Selection and Results Merging challenges are again included in FedWeb 2014, and we additionally introduced the task of vertical selection. Other new aspects are the required link between the Resource Selection and Results Merging, and the importance of diversity in the merged results. After an overview of the new data collection and relevance judgments, the individual participants’ results for the tasks are introduced, analyzed, and compared.
SEGMENTATION OF OPTIC DISK AND OPTIC CUP FROM RETINAL IMAGE

— Retinal image analysis is becoming a prominent tool for detection of eye disease. Glaucoma is one of the serious eye disease. Presently manual inspections of optic disk and cup is a standard procedure which has its own limits for mass screening . In this paper we present an automatic optic disk segmentation and cup segmentation technique for glaucoma detection from retinal images. Detection of glaucoma from retinal image is a difficult task because of occlusions of blood vessel. Optic disk and cup segmentation method which is based on pixel intensities which are considered as a primary evidences of optic disk and cup boundaries. The result shows effectiveness in segmentation of optic disk and cup from retinal image.
ALMA Memo No. 497 ANALYSIS OF WIND DATA GATHERED AT CHAJNANTOR

th Floor, Tucson, AZ 85721 2004 May 7 Abstract A general description and statistics of the wind speeds and directions registered at the ALMA site during 2001 and 2002 are presented. Measurements from different wind directions within 22.5o (in azimuth), topographic sectors and two markedly different daily periods were obtained. Spectra of the wind turbulence are presented for three wind speed conditions. During the diurnal period the convective turbulence and mean wind speed determine the shape and magnitude of the wind spectra, whereas in the nocturnal period the effects of the mechanical turbulence, such as the wind shear and surface roughness together with the mean wind speed, become relevant. No significant differences were found between the spectra obtained from three topographic sectors in the diurnal period, whereas in the nocturnal period a statistical test showed a significant difference for a particular topographic sector and for a given wind speed range, reflecting changes in the wind spectrum structure due to the local topography. General models of average spectra were found for three mean wind speeds, in the diurnal and nocturnal periods. Relations between the models and the mean wind speed were found. These relations makes it possible to estimate the spectral behaviour of the wind at the ALMA site for different mean wind speeds, which will be useful in the study of the wind loading on the antenna structure and pointing. Based on the results we can also conclude that the performance of the ALMA antenna regarding wind load is expected to be better for both day time and nigh time periods.
Partially blind domain adaptation for age prediction from DNA methylation data

Over the last years, huge resources of biological and medical data have become available for research. This data offers great chances for machine learning applications in health care, e.g. for precision medicine, but is also challenging to analyze. Typical challenges include a large number of possibly correlated features and heterogeneity in the data. One flourishing field of biological research in which this is relevant is epigenetics. Here, especially large amounts of DNA methylation data have emerged. This epigenetic mark has been used to predict a donor's 'epigenetic age' and increased epigenetic aging has been linked to lifestyle and disease history. In this paper we propose an adaptive model which performs feature selection for each test sample individually based on the distribution of the input data. The method can be seen as partially blind domain adaptation. We apply the model to the problem of age prediction based on DNA methylation data from a variety of tissues, and compare it to a standard model, which does not take heterogeneity into account. The standard approach has particularly bad performance on one tissue type on which we show substantial improvement with our new adaptive approach even though no samples of that tissue were part of the training data.
hCAF1, a new regulator of PRMT1-dependent arginine methylation

Protein arginine methylation is an emergent post-translational modification involved in a growing number of cellular processes, including transcriptional regulation, cell signaling, RNA processing and DNA repair. Although protein arginine methyltransferase 1 (PRMT1) is the major arginine methyltransferase in mammals, little is known about the regulation of its activity, except for the regulation induced by interaction with the antiproliferative protein BTG1 (B-cell translocation gene 1). Since the protein hCAF1 (CCR4-associated factor 1) was described to interact with BTG1, we investigated a functional link between hCAF1 and PRMT1. By co-immunoprecipitation and immunofluorescence experiments we demonstrated that endogenous hCAF1 and PRMT1 interact in vivo and colocalize in nuclear speckles, a sub-nuclear compartment enriched in small nuclear ribonucleoproteins and splicing factors. In vitro methylation assays indicated that hCAF1 is not a substrate for PRMT1-mediated methylation, but it regulates PRMT1 activity in a substrate-dependent manner. Moreover, small interfering RNA (siRNA)-mediated silencing of hCAF1 in MCF-7 cells significantly modulates the methylation of endogenous PRMT1 substrates. Finally, we demonstrated that in vitro and in the cellular context, hCAF1 regulates the methylation of Sam68 and histone H4, two PRMT1 substrates. Since hCAF1 and PRMT1 have been involved in the regulation of transcription and RNA metabolism, we speculate that hCAF1 and PRMT1 could contribute to the crosstalk between transcription and RNA processing.
Nested Partition Models

This paper introduces a flexible class of models for relational data based on a hierarchical extension of the two-parameter Poisson-Dirichlet process. The model is motivated by two different applications: 1) A study of cancer mortality rates in the U.S., where rates for different types of cancer are available for each state, and 2) the analysis of microarray data, where expression levels are available for a large number of genes in a sample of subjects. In both these settings, we are interested in improving estimation by flexibly borrowing information across rows and columns while partitioning the data into homogeneous subpopulations. Our model allows for a novel nested partitioning structure in the data not provided by existing nonparametric methods, in which rows are clustered while simultaneously grouping together columns within each cluster of rows.
Benchmark Generator for Dynamic Overlapping Communities in Networks

We describe a dynamic graph generator with overlapping communities that is capable of simulating community scale events while at the same time maintaining crucial graph properties. Such a benchmark generator is useful to measure and compare the responsiveness and efficiency of dynamic community detection algorithms. Since the generator allows the user to tune multiple parameters, it can also be used to test the robustness of a community detection algorithm across a spectrum of inputs. In an experimental evaluation, we demonstrate the generator's performance and show that graph properties are indeed maintained over time. Further, we show that standard community detection algorithms are able to find the generated community structure. To the best of our knowledge, this is the first time that all of the above have been combined into one benchmark generator, and this work constitutes an important building block for the development of efficient and reliable dynamic, overlapping community detection algorithms.