Miracle-dz/UniFAR-FTUs huggingface dataset:
An abscopal effect in a case of concomitant treatment of locally and peritoneally recurrent gastric cancer using adoptive T‐cell immunotherapy and radiotherapy

The mechanism of abscopal effect is becoming clear by the progress of cancer immunology. A 54‐year‐old male with recurrent gastric cancer presented an abscopal effect after radiotherapy with concurrent adoptive T‐cell immunotherapy (immunoradiotherapy). Immunoradiotherapy has potential to induce abscopal effect by strengthening systemic antitumor immunity even in recurrent cancer.
An improved hybrid sensor schedule for remote state estimation under limited communication resources

In this paper, we consider remote state estimation. A sensor locally processes its measurement data and sends its local estimate to a remote estimator for further processing. Due to the limited communication resources, the sensor can only communicate with the estimator for a pre-specified number within a given horizon. We propose a hybrid sensor data schedule which introduces an event-triggering mechanism on top of an optimal offline sensor schedule. This hybrid schedule, having a small implementation cost, leads to a smaller estimation error at the remote estimator when compared with the optimal offline sensor schedule.
Inducing Lexicons of Formality from Corpora

The spectrum of formality, in particular lexical formality, has been relatively unexplored compared to related work in sentiment lexicon induction (Turney and Littman, 2003). In this paper, we test in some detail several corpus-based methods for deriving real-valued formality lexicons, and evaluate our lexicons using relative formality judgments between word pairs. The results of our evaluation suggest that the problem is tractable but not trivial, and that we will need both larger corpora and more sophisticated methods to capture the full range of linguistic formality.
Intellecutal Property Rights and Cannibalization in Information Technology Outsourcing Contracts

This paper examines the question of how intellectual property rights in the software created during information technology outsourcing relationships should be divided. This paper expands on the property rights approach developed by Grossman, Hart, and Moore by recognizing that, with respect to software, it is possible to separate excludability rights from usability rights. These rights are modeled and the contractually optimal distribution is determined. This model is then modified to account for the possibility of cannibalization of the client's benefit when multiple others are allowed use of the software. The results show that the best contractual structure depends strongly on the environment.
Efficient Kriging via Fast Matrix-Vector Products

Interpolating scattered data points is a problem of wide ranging interest. Ordinary kriging is an optimal scattered data estimator, widely used in geosciences and remote sensing. A generalized version of this technique, called cokriging, can be used for image fusion of remotely sensed data. However, it is computationally very expensive for large data sets. We demonstrate the time efficiency and accuracy of approximating ordinary kriging through the use of fast matrix-vector products combined with iterative methods. We used methods based on the fast Multipole methods and nearest neighbor searching techniques for implementations of the fast matrix-vector products.
Relationships between Working Memory Capacity and Listening and Reading Sentence Comprehension in Normal Elderly Individuals and Persons with Aphasia

The purposes of the study are to investigate whether working memory (WM) capacity significantly predicts performance on auditory and reading comprehension tasks for aphasic individuals, and to examine whether WM-group differences between low and high WM groups emerge in demanding comprehension tasks. The results revealed that WM capacity significantly predicted performance on an auditory comprehension task and on a reading comprehension task presented with a self-paced moving window method. WM group effects emerged especially under the subtests with more linguistic elements and these findings are consistent with the WM capacity model (Just & Carpenter, 1992).
Motoneuron-Derived Neurotrophin-3 Is a Survival Factor for PAX2-Expressing Spinal Interneurons

Rat spinal cord interneurons undergo programmed cell death shortly after birth. We investigated here whether cell death of interneurons could be regulated by trophic factors produced by motoneurons, one of their main targets. To test this hypothesis, we studied the effect of the selective destruction of motoneurons on the survival of interneurons in organotypic cultures of embryonic rat spinal cords. Motoneurons were eliminated by an anti-p75NTR-specific immunotoxin (192 IgG-saporin). We then observed a decrease of 28% in the number of ventral spinal interneurons immunoreactive (IR) for the homeoprotein PAX2. This was correlated with an increase in the number of apoptotic nuclei in the same area. Because neurotrophin-3 (NT-3) is specifically produced by motoneurons and because interneurons express the NT-3 high-affinity receptor trkC, we examined the role of NT-3 in the survival of PAX2-IR interneurons. Addition of NT-3 to 192 IgG-saporin-treated explants rescued ventral PAX2-IR interneurons. Depletion of secreted NT-3 by anti-NT-3 antibodies induced 66% loss of ventral PAX2-IR interneurons. We conclude that motoneuron-derived NT-3 is a trophic factor for ventral PAX2-IR interneurons.
MESSENGERS : Distributed Programming Using Mobile AutonomousObjectsMunehiro

Messengers are autonomous objects, each capable of navigating through the underlying network and performing various tasks at each node. This requires a programming paradigm shift where applications must be written not as collections of communicating processes but from the point of view of each Messenger as it navigates through the system. Using several diierent applications, we demonstrate the new programming style and its implications for distributed programming, which include the ability to compute in unknown network topologies, ability to modify or extend the applications' functional capabilities at runtime, and generally a smaller semantic gap between the abstract algorithms and their implementations, thus resulting in more intuitive program construction.
MIL at ImageCLEF 2014: Scalable System for Image Annotation

We give details of our methods in the ImageCLEF 2013 Scal- able Concept Image Annotation task. For the textual feature, we propose a method for selecting text closely related to an image from its webpage. In addition, to consider the meaning of the concept, we propose to use WordNet for getting words related to the concept. For visual features, we use Fisher Vector (FV), which is regarded as an extension of the Bag- of-Visual-Words representation. We trained linear classifiers by Passive- Aggressive with Averaged Pairwise Loss (PAAPL), an online multilabel learning method based on Passive-Aggressive. Since PAAPL is compu- tationally efficient and able to cope with multilabel data appropriately, it is suitable for this task. Results show that our annotation pipeline is simple but works well in this task.
Eigenvalue and Eigenvector Analysis of Dynamic Systems

While several methods aimed at understanding the causes of model behavior have been proposed in recent years, formal model analysis remains an important and challenging area in system dynamics. This paper describes a mathematical method to incorporate eigenvectors to the more traditional eigenvalue analysis of dynamic models. The proposed method derives basic formulas that characterize how a change in link (or loop) gain influence state behavior in linear dynamic systems. Based on the insights developed from linear theory, I extend the method to nonlinear dynamic systems by linearizing the system at every point in time and evaluating the impact to the derived formulas. The paper concludes with an application of the method to a linear system.
View synthesis by edge transfer with application to the generation of immersive video objects

1. ABSTRACT This paper presents a novel automatic method for view synthesis (or image transfer) from a number of uncalibrated images based on edge transfer. The edge-based technique is of general practical relevance because it overcomes most of the problems encountered in other approaches that either rely upon dense correspondence, work in projective space or need explicit camera calibration. The method has been used to generate immersive video objects which we call 3D video sprites. They consists of a number of synchronous video streams and mark up information that allows virtual viewpoints with respect to a live action video to be rendered and combined with traditional 3D virtual environments.
Rationally engineered Cas9 nucleases with improved specificity

Making the correct cut The CRISPR/Cas system is a prokaryotic immune system that targets and cuts out foreign DNA in bacteria. It has been adopted for gene editing because it can be designed to recognize and cut specific locations in the genome. A challenge in developing clinical applications is the potential for off-target effects that could result in DNA cleavage at the wrong locations. Slaymaker et al. used structure-guided engineering to improve the specificity of Streptococcus pyogenes Cas9 (SpCas9). They identified enhanced-specificity variants (eSpCas9) that display reduced off-target cleavage while maintaining robust on-target activity Science, this issue p. 84 Structure-guided engineering improves the genome editing specificity of the CRISPR-associated endonuclease Cas9. The RNA-guided endonuclease Cas9 is a versatile genome-editing tool with a broad range of applications from therapeutics to functional annotation of genes. Cas9 creates double-strand breaks (DSBs) at targeted genomic loci complementary to a short RNA guide. However, Cas9 can cleave off-target sites that are not fully complementary to the guide, which poses a major challenge for genome editing. Here, we use structure-guided protein engineering to improve the specificity of Streptococcus pyogenes Cas9 (SpCas9). Using targeted deep sequencing and unbiased whole-genome off-target analysis to assess Cas9-mediated DNA cleavage in human cells, we demonstrate that “enhanced specificity” SpCas9 (eSpCas9) variants reduce off-target effects and maintain robust on-target cleavage. Thus, eSpCas9 could be broadly useful for genome-editing applications requiring a high level of specificity.
Joint Scheduling and ARQ for MU-MIMO Downlink in the Presence of Inter-Cell Interference

User scheduling and multiuser multi-antenna (MU-MIMO) transmission are at the core of high-rate data-oriented downlink schemes of the next-generation of cellular systems (e.g., LTE-Advanced). Scheduling selects groups of users according to their channels vector directions and SINR levels. However, when scheduling is applied independently in each cell, the inter-cell interference (ICI) power at each user receiver is not known in advance since it changes at each new scheduling slot depending on the scheduling decisions of all interfering base stations. In order to cope with this uncertainty, we consider the joint operation of scheduling, MU-MIMO beamforming and Automatic Repeat reQuest (ARQ). We develop a game-theoretic framework for this problem and build on stochastic optimization techniques in order to find optimal scheduling and ARQ schemes. Particularizing our framework to the case of "outage service rates", we obtain a scheme based on adaptive variable-rate coding at the physical layer, combined with ARQ at the Logical Link Control (ARQ-LLC). Then, we present a novel scheme based on incremental redundancy Hybrid ARQ (HARQ) that is able to achieve a throughput performance arbitrarily close to the "genie-aided service rates", with no need for a genie that provides non-causally the ICI power levels. The novel HARQ scheme is both easier to implement and superior in performance with respect to the conventional combination of adaptive variable-rate coding and ARQ-LLC.
Nosocomial Legionellosis Associated with Aspiration of Nasogastric Feedings Diluted in Tap Water

Abstract Problem: Two cases of nosocomial legionellosis due to Legionella pneumophila serogroup 6 (Lp6) were identified in the intensive care unit. Both patients had a history of aspiration of nasogastric tube feedings, developed pulmonary infiltrates, had positive cultures for Lp6, had serological titer rises to Legionella, were treated, and recovered. Method: Isolates of Lp6 from the potable water system and patients were characterized by DNA restriction enzyme analyses using pulsed-field gel electrophoresis (PFGE). Results: Water samples grew >1O4 CFU/L of Lp6, and the same PFGE pattern was observed with the patient and water isolates. Potable water was used only for delivering medications and diluting feeding solutions given through the nasogastric tubes of the patients. Heat shock of the hot water system (140° to 160°F or 60° to 7O°C, 4 hours) was performed and the temperature was maintained between 131° to 140°F (55° to 60°C). Surveillance over 18 months revealed a reduction in Legionella to <102 CFU/L. Conclusion: We speculate that nosocomial Legionella pneumonia occurred due to aspiration of nasogastric tube solutions diluted with tap water. A nursing practice change to use only sterile water to dilute feedings and flush medications for nasogastric administration was instituted. The hot water temperature at the faucet was increased to ≥131°F (≥60°C) to control Legionella. No further nosocomial cases have occurred.
State-of-the-art multihoming solutions for Android: A quantitative evaluation and experience report

The technical challenges associated with multihoming management in mobile systems and applications have attracted relevant research activities, as demonstrated by the wide related literature of the recent years. However, only very recently some multihoming solutions and techniques have started to be applied in industrially-relevant platforms and cases, often in a limited and very controlled way. This paper has the specific and focused objective of reporting a fresh state-of-the-art overview of the maturity of multihoming solutions for Android and to describe our practical experience of multihoming configuration and evaluation over off-the-shelf Android devices. In particular, we report the experience made while considering the relevant Locator/Identifier Separation Protocol (LISP) and especially LISPmob support solutions, by i) showing how to efficiently configure LISPmob on non-rooted Android devices; and ii) thoroughly analyzing its supported features towards the abstraction of seamless mobility. In addition, the paper includes a qualitative and quantitative comparison of different multihoming support approaches, as well as original experimental results about the performance of LISPmob over Android terminals.
The Effect of LUT and Cluster Size on a Tree Based FPGA Architecture

In this paper we present the effect of lookup table (LUT)size (no of inputs to a LUT) and cluster size (no of LUTs per cluster) on the area and critical path of a tree based FPGA architecture (MFPGA). For this purpose we have designed a flow that places and routes a set of bench mark circuits on different tree based architectures with varying lookup table (lookup table size varies from 3 to 7) and cluster sizes ( cluster size varies from 4 to 8). With the help of experimental results we have analyzed the alteration in the MFPGA area with different LUT and cluster sizes. We have shown that in general LUTs having 4 or 5 inputs and clusters having 4 or 5 LUTs per cluster produce most efficient results in terms of area for the tree based architecture. We have also determined the mutation in the number of switches crossed by the critical path with changing LUT and cluster size and we have shown that architectures with higher LUT size and higher cluster size can be more optimal in terms of critical path though they are not optimal in terms of area.
JParEnt: Parallel entropy decoding for JPEG decompression on heterogeneous multicore architectures

The JPEG format employs Huffman codes to compress the entropy data of an image. Huffman codewords are of variable length, which makes parallel entropy decoding a difficult problem. To determine the start position of a codeword in the bitstream, the previous codeword must be decoded first. We present JParEnt, a new approach to parallel entropy decoding for JPEG decompression on heterogeneous multicores. JParEnt conducts JPEG decompression in two steps: (1) an efficient sequential scan of the entropy data on the CPU to determine the start‐positions (boundaries) of coefficient blocks in the bitstream, followed by (2) a parallel entropy decoding step on the graphics processing unit (GPU). The block boundary scan constitutes a reinterpretation of the Huffman‐coded entropy data to determine codeword boundaries in the bitstream. We introduce a dynamic workload partitioning scheme to account for GPUs of low compute power relative to the CPU. This configuration has become common with the advent of SoCs with integrated graphics processors (IGPs). We leverage additional parallelism through pipelined execution across CPU and GPU. For systems providing a unified address space between CPU and GPU, we employ zero‐copy to completely eliminate the data transfer overhead.
Vaccine Therapy in NHL: Future Promises and Current Limitations

Recent advances in genomics are revealing new molecular targets for vaccination strategies in cancer, and unraveling the immune pathways that must be activated. Initially, work focused on idiotypic antigen expressed by the clonal immunoglobulin (Ig) of B-cell tumors. This involved assembling the encoding VH and VL genes as single-chain Fv (scFv), which has been fused to Fragment C (FrC) of tetanus toxin to enhance recognition and response. The fusion gene induces strong anti-idiotypic protection against lymphoma in experimental models, and is now in clinical trials with encouraging results emerging. This principle of fusing a pathogen-derived sequence is widely applicable. A coat protein from a potato virus substituted for the FrC sequence has also been found to be capable of promoting anti-tumor immunity. The current design is effective in inducing anti-idiotypic (Id) antibody and CD4+ T-cell attack. For intracellular tumor antigens expressed as MHC Class I-associated peptides, a design consisting of a gene encoding a single domain of FrC linked to a candidate peptide sequence has been developed. This induces fast cytotoxic T-cell attack on peptide-expressing tumor cells. Injection of DNA appears safe and clinical trials will test the efficacy of this approach, and probably lead to improvements in these flexible vaccines.
High prevalence of eosinophilia in growth hormone‐deficient children

Abstract Background : To determine the clinical significance of eosinophilia in growth‐hormone (GH)‐deficient children, a clinical study consisting of 72 children and adolescents (mean age 9 years and 6 months at diagnosis) with GH deficiency (GHD) was undertaken. Patients were treated with GH, along with supplementation for the combined deficiency in patients with multiple hormone deficiency.
Articulated and Generalized Gaussian Kernel Correlation for Human Pose Estimation

In this paper, we propose an articulated and generalized Gaussian kernel correlation (GKC)-based framework for human pose estimation. We first derive a unified GKC representation that generalizes the previous sum of Gaussians (SoG)-based methods for the similarity measure between a template and an observation both of which are represented by various SoG variants. Then, we develop an articulated GKC (AGKC) by integrating a kinematic skeleton in a multivariate SoG template that supports subject-specific shape modeling and articulated pose estimation for both the full body and the hands. We further propose a sequential (body/hand) pose tracking algorithm by incorporating three regularization terms in the AGKC function, including visibility, intersection penalty, and pose continuity. Our tracking algorithm is simple yet effective and computationally efficient. We evaluate our algorithm on two benchmark depth data sets. The experimental results are promising and competitive when compared with the state-of-the-art algorithms.
The potential of Lagenaria rootstock to confer resistance to the carmine spider mite, Tetranychus cinnabarinus (Acari: Tetranychidae) in Cucurbitaceae

Abstract Antibiosis and resistance of six Cucurbita and two Lagenaria accessions to the carmine spider mite, Tetranychus cinnabarinus Boisduval, were evaluated in the laboratory. Significant differences among accessions were observed three days after the inoculation of detached leaf discs. The Lagenaria accessions, Slawi and Sus, proved to be the most resistant to mites, with average populations of mite eggs, 87 and 95%, respectively less than that of the susceptible C. pepoaccession, Orangetti. The Cucurbita accessions, Tace, Brava, Tetsukabuto, Phoenix and TZ-148 had mite egg totals 4, 9, 13, 26 and 40%, respectively, less than those of accession Orangetti. The Sus accession of Lagenaria was resistant to T. cinnabarinus from the four-leaf stage until fruit set in laboratory and field tests. Grafting the susceptible Brava onto Sus rootstock increased the resistance of the scion to the same level as that of non-grafted Sus. Grafting the susceptible Cucumis melo Noy Yizre’el on resistant or susceptible rootstocks of Cucurbita and Lagenaria accessions did not affect its susceptibility to T. cinnabarinus. The results indicate that resistance to T. cinnabarinuscan be transferred by grafting from Lagenaria stocks to Cucurbita scions but not in the opposite direction.
Gaming On and Off the Social Graph: The Social Structure of Facebook Games

Games built on Online Social Networks (OSNs) have become a phenomenon since 3rd party developer tools were released by OSNs such as Facebook. However, apart from their explosive popularity, little is known about the nature of the social networks that are built during play. In this paper, we present the findings of a network analysis study carried out on two Facebook applications, in comparison with a similar but stand-alone game. We found that games built both on and off a social graph exhibit similar social properties. Specifically, the distribution of player-to-player interactions decays as a power law with a similar exponent for the majority of players. For games built on the social network platform however, we find that the networks are characterised by a sharp cut-off, compared with the classically scale-free nature of the social network for the game not built on an existing social graph.