bluuebunny/crossref_metadata_2025_split huggingface dataset:
Natural hazards revealed to children: the other side of prevention
Authors: Piangiamore Giovanna Lucia , Musacchio Gemma , Pino Nicola Alessandro 
Published: March 2015

Abstract
Risk misperception often ineffectively drives us to choose recovery over prevention; the latter being usually conceived with actions aimed at mitigation of infrastructure vulnerability. Although it is fundamental to implant the culture of prevention and therefore have an impact on risk mitigation and community disaster resilience, long-term programmes encompassing knowledge, innovation and education are often underestimated. If education involves children, we more efficiently spread the culture of risk reduction through a chain reaction dissemination mechanism and prompt behaviours that are better imprinted on the mind, reinforce awareness of hazard response, and foster citizens who tomorrow might be part of the process of making crucial decisions on prevention strategies. For the past 10 years, our learn-by-playing, hands-on, emotional-driven, curiosity-driven approach activities have involved more than 20 000 students and teachers living in areas prone to natural hazards. In addition to requests and appreciation from the public, questionnaires handed out to teachers and students have proved that our approach to prevention best practice is successful. Questionnaires filled in by children and their families encouraged us to promote the strong potential for dissemination in the local environment. We are engaged in on-going research on risk reduction oriented science outreach activities to implement models focused on geoscience education and to give citizens tools to affect the process of risk reduction decision-making.
Robust Design Space Modeling
Authors: Guo Qi , Chen Tianshi , Zhou Zhi-Hua , Temam Olivier , Li Ling , Qian Depei , Chen Yunji 
Published: March 2015

Architectural design spaces of microprocessors are often exponentially large with respect to the pending processor parameters. To avoid simulating all configurations in the design space, machine learning and statistical techniques have been utilized to build regression models for characterizing the relationship between architectural configurations and responses (e.g., performance or power consumption). However, this article shows that the accuracy variability of many learning techniques over different design spaces and benchmarks can be significant enough to mislead the decision-making. This clearly indicates a high risk of applying techniques that work well on previous modeling tasks (each involving a design space, benchmark, and design objective) to a new task, due to which the powerful tools might be impractical.
Inspired by ensemble learning in the machine learning domain, we propose a robust framework called ELSE to reduce the accuracy variability of design space modeling. Rather than employing a single learning technique as in previous investigations, ELSE employs distinct learning techniques to build multiple base regression models for each modeling task. This is not a trivial combination of different techniques (e.g., always trusting the regression model with the smallest error). Instead, ELSE carefully maintains the diversity of base regression models and constructs a metamodel from the base models that can provide accurate predictions even when the base models are far from accurate. Consequently, we are able to reduce the number of cases in which the final prediction errors are unacceptably large. Experimental results validate the robustness of ELSE: compared with the widely used artificial neural network over 52 distinct modeling tasks, ELSE reduces the accuracy variability by about 62%. Moreover, ELSE reduces the average prediction error by 27% and 85% for the investigated MIPS and POWER design spaces, respectively.
Measuring and Synthesizing Systems in Probabilistic Environments
Authors: Chatterjee Krishnendu , Henzinger Thomas A. , Jobstmann Barbara , Singh Rohit 
Published: March 2015

The traditional synthesis question given a specification asks for the automatic construction of a system that satisfies the specification, whereas often there exists a preference order among the different systems that satisfy the given specification. Under a probabilistic assumption about the possible inputs, such a preference order is naturally expressed by a weighted automaton, which assigns to each word a value, such that a system is preferred if it generates a higher expected value. We solve the following optimal synthesis problem: given an omega-regular specification, a Markov chain that describes the distribution of inputs, and a weighted automaton that measures how well a system satisfies the given specification under the input assumption, synthesize a system that optimizes the measured value.
For safety specifications and quantitative measures that are defined by mean-payoff automata, the optimal synthesis problem reduces to finding a strategy in a Markov decision process (MDP) that is optimal for a long-run average reward objective, which can be achieved in polynomial time. For general omega-regular specifications along with mean-payoff automata, the solution rests on a new, polynomial-time algorithm for computing optimal strategies in MDPs with mean-payoff parity objectives. Our algorithm constructs optimal strategies that consist of two memoryless strategies and a counter. The counter is in general not bounded. To obtain a finite-state system, we show how to construct an ϵ-optimal strategy with a bounded counter, for all ϵ > 0. Furthermore, we show how to decide in polynomial time if it is possible to construct an optimal finite-state system (i.e., a system without a counter) for a given specification.
We have implemented our approach and the underlying algorithms in a tool that takes qualitative and quantitative specifications and automatically constructs a system that satisfies the qualitative specification and optimizes the quantitative specification, if such a system exists. We present some experimental results showing optimal systems that were automatically generated in this way.
SDX
Authors: Gupta Arpit , Vanbever Laurent , Shahbaz Muhammad , Donovan Sean P. , Schlinker Brandon , Feamster Nick , Rexford Jennifer , Shenker Scott , Clark Russ , Katz-Bassett Ethan 
Published: March 2015

BGP severely constrains how networks can deliver traffic over the Internet. Today's networks can only forward traffic based on the destination IP prefix, by selecting among routes offered by their immediate neighbors. We believe Software Defined Networking (SDN) could revolutionize wide-area traffic delivery, by offering direct control over packet-processing rules that match on multiple header fields and perform a variety of actions. Internet exchange points (IXPs) are a compelling place to start, given their central role in interconnecting many networks and their growing importance in bringing popular content closer to end users.
To realize a Software Defined IXP (an "SDX"), we must create compelling applications, such as "application-specific peering"---where two networks peer only for (say) streaming video traffic. We also need new programming abstractions that allow participating networks to create and run these applications and a runtime that both behaves correctly when interacting with BGP and ensures that applications do not interfere with each other. Finally, we must ensure that the system scales, both in rule-table size and computational overhead. In this paper, we tackle these challenges and demonstrate the flexibility and scalability of our solutions through controlled and in-the-wild experiments. Our experiments demonstrate that our SDX implementation can implement representative policies for hundreds of participants who advertise full routing tables while achieving sub-second convergence in response to configuration changes and routing updates.
Balancing accountability and privacy in the network
Authors: Naylor David , Mukerjee Matthew K. , Steenkiste Peter 
Published: March 2015

Though most would agree that accountability and privacy are both valuable, today's Internet provides little support for either. Previous efforts have explored ways to offer stronger guarantees for one of the two, typically at the expense of the other; indeed, at first glance accountability and privacy appear mutually exclusive. At the center of the tussle is the source address: in an accountable Internet, source addresses undeniably link packets and senders so hosts can be punished for bad behavior. In a privacy-preserving Internet, source addresses are hidden as much as possible.
In this paper, we argue that a balance is possible. We introduce the Accountable and Private Internet Protocol (APIP), which splits source addresses into two separate fields --- an accountability address and a return address --- and introduces independent mechanisms for managing each. Accountability addresses, rather than pointing to hosts, point to accountability delegates, which agree to vouch for packets on their clients' behalves, taking appropriate action when misbehavior is reported. With accountability handled by delegates, senders are now free to mask their return addresses; we discuss a few techniques for doing so.
Network stack specialization for performance
Authors: Marinos Ilias , Watson Robert N.M. , Handley Mark 
Published: March 2015

Contemporary network stacks are masterpieces of generality, supporting many edge-node and middle-node functions. Generality comes at a high performance cost: current APIs, memory models, and implementations drastically limit the effectiveness of increasingly powerful hardware. Generality has historically been required so that individual systems could perform many functions. However, as providers have scaled services to support millions of users, they have transitioned toward thousands (or millions) of dedicated servers, each performing a few functions. We argue that the overhead of generality is now a key obstacle to effective scaling, making specialization not only viable, but necessary.
We present Sandstorm and Namestorm, web and DNS servers that utilize a clean-slate userspace network stack that exploits knowledge of application-specific workloads. Based on the netmap framework, our novel approach merges application and network-stack memory models, aggressively amortizes protocol-layer costs based on application-layer knowledge, couples tightly with the NIC event model, and exploits microarchitectural features. Simultaneously, the servers retain use of conventional programming frameworks. We compare our approach with the FreeBSD and Linux stacks using the nginx web server and NSD name server, demonstrating 2--10x and 9x improvements in web-server and DNS throughput, lower CPU usage, linear multicore scaling, and saturated NIC hardware.
Vidyut
Authors: Yenamandra Vivek , Srinivasan Kannan 
Published: March 2015

Global synchronization across time and frequency domains significantly benefits wireless communications. Multi-Cell (Network) MIMO, interference alignment solutions, opportunistic routing techniques in ad-hoc networks, OFDMA etc. all necessitate synchronization in either time or frequency domain or both. This paper presents sysname, a system that exploits the easily accessible and ubiquitous power line infrastructure to achieve synchronization in time and frequency domains across nodes distributed beyond a single-collision domain. sysname uses the power lines to transmit a reference frequency tone to which each node locks its frequency. sysname exploits the steady periodicity of delivered power signal itself to synchronize distributed nodes in time.
We validate the extent of sysname's synchronization and evaluate its effectiveness. We verify sysname's suitability for wireless applications such as OFDMA and multi-cell MIMO by validating the benefits of global synchronization in an enterprise wireless network. Our experiments show a throughput gain of 8.2x over MegaMIMO, 7x over NemoX and 2.5x over OFDMA systems.
Enterprise wireless networks are supported by an Ethernet backbone. Researchers have been exploring techniques over the backbone to enable and assist in improving the performance of the wireless networks. Recent work also showed the benefit of sharing information in the air between the nodes to enable higher performance of the network. Even sharing information as little as synchronization information has been demonstrated to open new avenues (such as MU-MIMO, Physical Network Coding, Opportunistic routing, etc.) for the wireless networks to enhance its performance. However, another medium shared by majority of the nodes in the enterprise network - the power line infrastructure - has been largely left untapped to assist the wireless network. While the power lines are noisy and have a frequency selective transmission characteristic, its uniqueness is that its range can extend beyond that over air while it is unburdened by switching and other responsibilities of the Ethernet backbone. This paper poses the following question: How best to exploit the opportunity presented by the power lines to further enhance enterprise wireless networks?
The key contributions of this paper are the following: Identify and demonstrate the feasibility of utilizing power lines as a medium to achieve synchronization (in time and frequency domains) between nodes in the network; Demonstrate the scalability of this technique by achieving synchronization between nodes beyond the transmission range of any of the individual nodes. The paper presents empirical results pertaining to the accuracy of synchronization and the benefit of the proposed synchronization method to existing distributed wireless techniques by virtue of extension across multiple collision domains.
Development and Clinical Validation of an In Situ Biopsy-Based Multimarker Assay for Risk Stratification in Prostate Cancer
Authors: Blume-Jensen Peter , Berman David M. , Rimm David L. , Shipitsin Michail , Putzi Mathew , Nifong Thomas P. , Small Clayton , Choudhury Sibgat , Capela Teresa , Coupal Louis , Ernst Christina , Hurley Aeron , Kaprelyants Alex , Chang Hua , Giladi Eldar , Nardone Julie , Dunyak James , Loda Massimo , Klein Eric A. , Magi-Galluzzi Cristina , Latour Mathieu , Epstein Jonathan I. , Kantoff Philip , Saad Fred 
Published: March 2015

Abstract
Purpose: Prostate cancer aggressiveness and appropriate therapy are routinely determined following biopsy sampling. Current clinical and pathologic parameters are insufficient for accurate risk prediction leading primarily to overtreatment and also missed opportunities for curative therapy.
Experimental Design: An 8-biomarker proteomic assay for intact tissue biopsies predictive of prostate pathology was defined in a study of 381 patient biopsies with matched prostatectomy specimens. A second blinded study of 276 cases validated this assay's ability to distinguish “favorable” versus “nonfavorable” pathology independently and relative to current risk classification systems National Comprehensive Cancer Network (NCCN and D'Amico).
Results: A favorable biomarker risk score of ≤0.33, and a nonfavorable risk score of &gt;0.80 (possible range between 0 and 1) were defined on “false-negative” and “false-positive” rates of 10% and 5%, respectively. At a risk score ≤0.33, predictive values for favorable pathology in very low-risk and low-risk NCCN and low-risk D'Amico groups were 95%, 81.5%, and 87.2%, respectively, higher than for these current risk classification groups themselves (80.3%, 63.8%, and 70.6%, respectively). The predictive value for nonfavorable pathology was 76.9% at biomarker risk scores &gt;0.8 across all risk groups. Increased biomarker risk scores correlated with decreased frequency of favorable cases across all risk groups. The validation study met its two coprimary endpoints, separating favorable from nonfavorable pathology (AUC, 0.68; P &lt; 0.0001; OR, 20.9) and GS-6 versus non–GS-6 pathology (AUC, 0.65; P &lt; 0.0001; OR, 12.95).
Conclusions: The 8-biomarker assay provided individualized, independent prognostic information relative to current risk stratification systems, and may improve the precision of clinical decision making following prostate biopsy. Clin Cancer Res; 21(11); 2591–600. ©2015 AACR.
COX-2 Elevates Oncogenic miR-526b in Breast Cancer by EP4 Activation
Authors: Majumder Mousumi , Landman Erin , Liu Ling , Hess David , Lala Peeyush K. 
Published: March 2015

Abstract
MicroRNAs (miRs) are small regulatory molecules emerging as potential biomarkers in cancer. Previously, it was shown that COX-2 expression promotes breast cancer progression via multiple mechanisms, including induction of stem-like cells (SLC), owing to activation of the prostaglandin E2 receptor EP4 (PTGER4). COX-2 overexpression also upregulated microRNA-526b (miR-526b), in association with aggressive phenotype. Here, the functional roles of miR-526b in breast cancer and the mechanistic role of EP4 signaling in miR-526b upregulation were examined. A positive correlation was noted between miR-526b and COX-2 mRNA expression in COX-2 disparate breast cancer cell lines. Stable overexpression of miR-526b in poorly metastatic MCF7 and SKBR3 cell lines resulted in increased cellular migration, invasion, EMT phenotype and enhanced tumorsphere formation in vitro, and lung colony formation in vivo in immunodeficient mice. Conversely, knockdown of miR-526b in aggressive MCF7-COX-2 and SKBR3-COX-2 cells reduced oncogenic functions and reversed the EMT phenotype, in vitro. Furthermore, it was determined that miR-526b expression is dependent on EP4 receptor activity and downstream PI3K–AKT and cyclic AMP (cAMP) signaling pathways. PI3K–AKT inhibitors blocked EP4 agonist–mediated miR-526b upregulation and tumorsphere formation in MCF7 and SKBR3 cells. NF-κB inhibitor abrogates EP agonist–stimulated miRNA expression in MCF7 and T47D cells, indicating that the NF-κB pathway is also involved in miR-526b regulation. In addition, inhibition of COX-2, EP4, PI3K, and PKA in COX-2–overexpressing cells downregulated miR-526b and its functions in vitro. Finally, miR-526b expression was significantly higher in cancerous than in noncancerous breast tissues and associated with reduced patient survival. In conclusion, miR-526b promotes breast cancer progression, SLC-phenotype through EP4-mediated signaling, and correlates with breast cancer patient survival.
Implications: This study presents novel findings that miRNA 526b is a COX-2 upregulated, oncogenic miRNA promoting SLCs, the expression of which follows EP4 receptor-mediated signaling, and is a promising biomarker for monitoring and personalizing breast cancer therapy. Mol Cancer Res; 13(6); 1022–33. ©2015 AACR.
Sarsaparilla (Smilax Glabra Rhizome) Extract Inhibits Cancer Cell Growth by S Phase Arrest, Apoptosis, and Autophagy via Redox-Dependent ERK1/2 Pathway
Authors: She Tiantian , Qu Like , Wang Lixin , Yang Xingxin , Xu Shuo , Feng Junnan , Gao Yujing , Zhao Chuanke , Han Yong , Cai Shaoqing , Shou Chengchao 
Published: March 2015

Abstract
Cancer is still the major cause of death across the world. Regular approaches cannot effectively solve the emerging problems, including drug/radiation resistance, side effects, and therapeutic ineffectiveness. Natural dietary supplements have shown effectiveness in the prevention and treatment of cancer. Sarsaparilla (Smilax Glabra Rhizome) has growth-inhibitory effects on several cancer cell lines in vitro and in vivo, with little toxicity on normal cells. However, the mechanism underlying its function remains elusive. In the present study, we examined the anticancer activity of the supernatant of the water-soluble extract (SW) from sarsaparilla. Liquid chromatography/mass spectrometry–ion trap–time-of-flight (LC/MS-IT-TOF) analysis identified flavonoids, alkaloids, and phenylpropanoids as the major bioactive components of SW. SW was shown to markedly inhibit the growth of a broad spectrum of cancer cell lines in the in vitro and in vivo assays. S phase arrest, autophagy, or/and apoptosis were partly responsible for SW-induced growth inhibition. Results of microarray analysis and validation by quantitative RT-PCR indicated the involvement of oxidative stress and the MAPK1 pathway in SW-treated cells. We further found that SW destroyed intracellular-reduced glutathione/oxidized glutathione (GSH/GSSG) balance, and supplement with N-acetylcysteine (NAC) or glutathione (GSH) significantly antagonized SW-induced S phase arrest, apoptosis, and autophagy. In addition, SW-induced GSH/GSSG imbalance activated the ERK1/2 pathway, which contributed to SW-induced S phase arrest, apoptosis, autophagy, and resultant growth-inhibitory effect. Together, our results provide a molecular basis for sarsaparilla as an anticancer agent. Cancer Prev Res; 8(5); 464–74. ©2015 AACR.
The Framing of Characters in Popular Movies
Authors: Cutting James E. 
Published: March 2015

I investigated the number and locations of characters as they appear on the screen in 48 popular movies released from 1935 to 2010. Sampling an average of one of every 500 frames (∼20 s of film) I amassed data from almost 14 000 movie images. The number and placement of the characters in each image were digitally recorded and compared across years and across aspect ratios (the ratio of the width to the height of the image). Results show a roughly linear decrease in the number of characters on the screen across years. Moreover, the number of characters influences shot scale, shot duration, and mediates their direct effect on one another. The location of characters on the screen was measured by the bridge of the nose between the eyes. By this measure I found that framing varies widely across aspect ratios, but when each image is conformed to the same shape, the overlap of the locations of characters is remarkably constant across years and aspect ratios for images with one, two, and three characters. Together, these results exemplify both constancy and change in the evolution of popular movies.
Paspalum chilense (Poaceae, Paspaleae): A new species from southern South America
Authors: Catanzaro María Paz , Bonasora Marisa Graciela , Speranza Pablo Rafael , Medina-Nicolas Marcelo , Valls José F.M. , Rua Gabriel Hugo 
Published: March 2015

Paspalum chilense, a new species from Chile belonging to the informal Notata group, is described and illustrated on the basis of morphological, cytological and molecular evidence. Our evidence supports its affinity with P. barretoi and P. nummularium, from Brazil, from which it probably diverged by vicariant speciation. The limited available material of the new species was previously identified as P. pumilum or P. minus. A new key to the species of the core Notata group is provided.