Miracle-dz/UniFAR-FTUs huggingface dataset:
Climate Change and the Irreversibility Effect - Combining Expected Utility and Maximin

This paper analyzes decisions on emissions of a stock pollutant under uncertainty in a two period model. Decisions are based on a weighted average of expected utility (EU) and the MaxiMin criterion. I first show that more weight on the worst case (less weight on EU) may lead to increased first period emissions. The effect of learning possibilities on emissions is not clear in general, but depends qualitatively on the weight given to MaxiMin: For the quadratic utility case, considering prospective learning increases today’s abatement effort, i.e. the "irreversibility effect" holds, if the weight on EU is small. This contrasts standard results on the irreversibility effect for EU which translates to small weights on MaxiMin. There is, however, the possibility of a negative value of learning. It is shown that the irreversibility effect holds if and only if the value of learning is negative. Consequences for the applicability of generalized EU-MaxiMin are discussed.
Improving Cell Outage Management Through Data Analysis

Self-organizing networks (SONs) are an important feature for network management automation in the new generation of mobile communications. While SONs have been considered to be part of the recent 3GPP standards such as LTE, it is expected that future 5G mobile networks will present new challenges for SON solutions. One of the most important use cases in self-healing is cell outage compensation (COC). This article proposes an important improvement in COC functionality based on analyzing large real data sets from live networks in order to adapt compensation to the real neighboring context. First, we propose two methods (offline and online) to classify outages depending on the degraded metrics in neighboring cells, and we present results for a set of cell outages occurring in a live LTE network. Second, we propose a method for estimating lost traffic due to cell outages in order to quantify the load that cannot be intrinsically absorbed by neighboring cells. Finally, a novel COC methodology is proposed by taking into account the results obtained in the two previous studies.
Diphlorethohydroxycarmalol Inhibits Interleukin-6 Production by Regulating NF-κB, STAT5 and SOCS1 in Lipopolysaccharide-Stimulated RAW264.7 Cells

Diphlorethohydroxycarmalol (DPHC) is a phlorotannin compound isolated from Ishige okamuarae, a brown alga. This study was conducted to investigate the anti-inflammatory effect and action mechanism of DPHC in lipopolysaccharide (LPS)-stimulated RAW 264.7 macrophages. We found that DPHC strongly reduces the production of interleukin 6 (IL-6), but not that of tumor necrosis factor-alpha (TNF-α) induced by LPS. DPHC (12.5 and 100 μM) suppressed the phosphorylation and the nuclear translocation of NF-kappaB (NF-κB), a central signaling molecule in the inflammation process induced by LPS. The suppressor of cytokine signaling 1 (SOCS1) is a negative feedback regulator of Janus kinase (Jak)-signal transducer and activator of transcription (STAT) signaling. In this study, DPHC inhibited STAT5 expression and upregulated that of SOCS1 at a concentration of 100 μM. Furthermore, N-tosyl-l-phenylalanine chloromethyl ketone (TPCK) (a specific NF-κB inhibitor) and JI (a specific Jak2 inhibitor) reduced the production of IL-6, but not that of tumor necrosis factor-alpha (TNF-α) in LPS-stimulated RAW 264.7 macrophages. These findings demonstrate that DPHC inhibits IL-6 production via the downregulation of NF-κB and Jak2-STAT5 pathway and upregulation of SOCS1.
Labor Differentiation and Agglomeration in General Equilibrium

The aim of this article is to explore the structure of cities as a function of labor differentiation, gains to trade, a fixed cost for constructing the transportation network, a variable cost of commodity transport, and the commuting costs of consumers. Firms use different types of labor to produce different outputs. Locations of all agents are endogenous as are prices and quantities. This is among the first articles to apply smooth economy techniques to urban economics. Existence of equilibrium and its determinacy properties depend crucially on the relative numbers of outputs, types of labor, and firms. More differentiated labor implies more equilibria. We provide tight lower bounds on labor differentiation for existence of equilibrium. If these sufficient conditions are satisfied, then generically there is a continuum of equilibria for given parameter values. Finally, an equilibrium allocation is not necessarily Pareto optimal in this model.
Efficient Strategies for Average Constraint-Based Sequential Pattern Mining

Sequential pattern mining based on constraint is now an important research direction of data mining, since it can reduce the generation of useless candidates as well as make the generated patterns meet the requirements of special users. Average value constraint is a kind of tough aggregate constraint. We propose here an effective pruning strategy based on average value constraint to avoid constructing unnecessary projected database and a novel frequent sequential pattern mining algorithm incorporating above strategy. An algorithm called SMAC (sequential frequent pattern mining with average constraints) was proposed and designed here based on Prefix Span method . At last, the algorithm was analyzed by experiment to show that the proposed method is more effective than Prefix Growth.
TREC 2015 Temporal Summarization Track Overview

There are many summarization scenarios that require updates to be issued to users over time. For example, during unexpected news events such as natural disasters or mass protests new information rapidly emerges. The TREC Temporal Summarization track aims to investigate how to e↵ectively summarize these types of event in real-time. In particular, the goal is to develop systems which can detect useful, new, and timely sentence-length updates about a developing event to return to the user. In contrast to classical summarization challenges (such as DUC or TAC), the summaries produced by the participant systems are evaluated against a ground truth list of information nuggets representing the space of information that a user might want to know about each event. An optimal summary will cover all of the information nuggets in the minimum number of sentences. Also in contrast to classic summarization and newer timeline generation tasks, the Temporal Summarization track focuses on performing this analysis online as documents are indexed. For the third 2015 edition of the Temporal Summarization track, we had four main aims. First, to better address the issues with run incompleteness by producing larger run pools and by using pool expansion based on sentence similarity. Second, to lower the barrier to entry for new groups by providing multiple sub-tasks using corpora of varying sizes, allowing groups to pick the task(s) that their infrastructure can cope with. Third, to refine the metrics to better incorporate latency by considering timeliness against the corpus as well as against updates to the Wikipedia page. Finally, to continue to increase the number of events covered by the evaluation. This is the final year of the Temporal Summarization track. For 2016, the track will merge with the Microblog track to become the new Real-Time Summarization (RTS) Track. This new RTS track will still tackle the same challenges as the Temporal Summarization track, but will incorporate microblog streams and will include a new Living-Lab style evaluation in addition to the classical
Licensed under Creative Commons Attribution Cc by Privacy Preserving System Using Attribute Based Encryption for E-health Cloud

Cloud computing is generally a distributed computing over a network. It plays an important role in healthcare integration costs, optimizing resources in a new era of innovations. Many healthcare providers and insurance companies today have adopted some form of electronic medical record systems, most of the medical records stored in centralized databases in the form of electronic records. Typically, a patient may have many healthcare providers, including primary care physicians, therapists, physicians and other medical practitioners. Patient may use multiple healthcare insurance companies for different types of insurances, such as medical, dental, vision, and so forth. Sharing of personal medical records is a patient centric model of health information exchange which can be stored at third party such as cloud providers. The confidentiality of the personal health records is major problem when patient uses commercial web based systems to store their health data, because it can be viewed by everyone. Providing privacy for their own medical records is a promising method to encrypt the files using various cryptographic approaches. There are various issues such as risks for privacy of records, scalability in key management and flexible access have the most important challenges towards achieving fine grained and cryptographically data access control. To achieve fine-grained and scalable data access control for PHRs, we uses attribute based encryption (ABE) techniques to encrypt each patient's medical record file. This survey describes new approach for secure storage and controlled sharing of patient's health data.
Computing Symmetric Rank-Revealing Decompositions via Triangular Factorization

We present a family of algorithms for computing symmetric rank-revealing VSV decompositions based on triangular factorization of the matrix. The VSV decomposition consists of a middle symmetric matrix that reveals the numerical rank in having three blocks with small norm, plus an orthogonal matrix whose columns span approximations to the numerical range and null space. We show that for semidefinite matrices the VSV decomposition should be computed via the ULV decomposition, while for indefinite matrices it must be computed via a URV-like decomposition that involves hypernormal rotations.
FineDyne : A Tool to Browse and Compare Restaurants

Deciding what and where to eat can be challenging due to the gaps in criteria known to finalize a dining decision. Current solutions such as Yelp not only withholds information to fill in these gaps, but also presents restaurant information in a narrow fashion that precludes more complex dining queries such as the comparison of two disparate cuisine categories. We introduce FineDyne, a web-based tool that leverages Yelp’s own restaurant dataset and visualizes restaurant information in a much richer way. Specifically, we present the distributions of various dining criteria categories and link this with matching restaurants on a map view. Annotation features are implemented to allow users to save interesting restaurants of different criteria and compare them for a final more informed
Vacuum-evaporable spin-crossover complexes: physicochemical properties in the crystalline bulk and in thin films deposited from the gas phase

Four analogues of the spin-crossover complex [Fe(H2Bpz2)2(phen)] (H2Bpz2 = dihydrobis(pyrazolyl)borate; 2) containing functionalized 1,10-phenanthroline (phen) ligands have been prepared; i.e., [Fe(H2Bpz2)2(L)], L = 4-methyl-1,10-phenanthroline (3), 5-chloro-1,10-phenanthroline (4), 4,7-dichloro-1,10-phenanthroline (5), and 4,7-dimethyl-1,10-phenanthroline (6). The systems are investigated by magnetic susceptibility measurements and a range of spectroscopies in the solid state and in thin films obtained by physical vapour deposition (PVD). Thermal as well as light-induced SCO behaviour is observed for 3–6 in the films. By contrast, thermal SCO in the solid state occurs only for 3 and 4 but is absent for 5 and 6. These findings are discussed in the light of cooperative and intermolecular interactions.
Selecting and allocating cubes in multi-node OLAP systems: An evolutionary approach

OLAP queries are characterized by short answering times. Materialized cube views, a pre-aggregation and storage of group-by values, are one of the possible answers to that condition. However, if all possible views were computed and stored, the amount of necessary materializing time and storage space would be huge. Selecting the most beneficial set, based on the profile of the queries and observing some constraints as materializing space and maintenance time, a problem denoted as cube views selection problem, is the condition for an effective OLAP system, with a variety of solutions for centralized approaches. When a distributed OLAP architecture is considered, the problem gets bigger, as we must deal with another dimension—space. Besides the problem of the selection of multidimensional structures, there’s now a node allocation one; both are a condition for performance. This chapter focuses on distributed OLAP systems, recently introduced, proposing evolutionary algorithms for the selection and allocation of the distributed OLAP Cube, using a distributed linear cost model. This model uses an extended aggregation lattice as framework to capture the distributed semantics, and introduces processing nodes’ power and real communication costs parameters, allowing the estimation of query and maintenance costs in time units. Moreover, as we have an OLAP environment, whit several nodes, we will have parallel processing and then, the evaluation of the fitness of evolutionary solutions is based on cost estimation algorithms that simulate the execution of parallel tasks, using time units as cost metric.
FEMIP: A high performance FPGA-based features extractor & matcher for space applications

Nowadays, Video-Based Navigation (VBN) is increasingly used in space-applications. The future space-missions will include this approach during the Entry, Descent and Landing (EDL) phase, in order to increase the landing point precision. This paper presents FEMIP: a high performance FPGA-based features extractor and matcher tuned for space applications. It outperforms the current state-of-the-art, ensuring a higher throughput and a lower hardware resources usage.
Robust observer-based sliding mode controller for vehicles with roll dynamics

In this work, an observer-based sliding mode (SM) control scheme for a vehicle considering roll dynamics, is presented. The proposal considers a nonlinear higher order sliding mode reduced observer for the lateral velocity, roll angle and roll velocity. Based on this observer, the controller is designed for the reference tracking of the lateral and yaw velocities of the vehicle, using adaptive super-twisting algorithm. In order to demonstrate the stability of the closed-loop system, Lyapunov functions for each of the algorithms are used. The proposed control scheme has finite-time convergence and the robustness in presence of plant parameters variations. This is demonstrated through the performed simulation.
Identification and Characterization of MicroRNAs from Longitudinal Muscle and Respiratory Tree in Sea Cucumber (Apostichopus japonicus) Using High-Throughput Sequencing

MicroRNAs (miRNAs), as a family of non-coding small RNAs, play important roles in the post-transcriptional regulation of gene expression. Sea cucumber (Apostichopus japonicus) is an important economic species which is widely cultured in East Asia. The longitudinal muscle (LTM) and respiratory tree (RPT) are two important tissues in sea cucumber, playing important roles such as respiration and movement. In this study, we identified and characterized miRNAs in the LTM and RPT of sea cucumber (Apostichopus japonicus) using Illumina HiSeq 2000 platform. A total of 314 and 221 conserved miRNAs were identified in LTM and RPT, respectively. In addition, 27 and 34 novel miRNAs were identified in the LTM and RPT, respectively. A set of 58 miRNAs were identified to be differentially expressed between LTM and RPT. Among them, 9 miRNAs (miR-31a-3p, miR-738, miR-1692, let-7a, miR-72a, miR-100b-5p, miR-31b-5p, miR-429-3p, and miR-2008) in RPT and 7 miRNAs (miR-127, miR-340, miR-381, miR-3543, miR-434-5p, miR-136-3p, and miR-300-3p) in LTM were differentially expressed with foldchange value being greater than 10. A total of 14,207 and 12,174 target genes of these miRNAs were predicted, respectively. Functional analysis of these target genes of miRNAs were performed by GO analysis and pathway analysis. This result provided in this work will be useful for understanding biological characteristics of the LTM and RPT of sea cucumber and assisting molecular breeding of sea cucumber for aquaculture.
Automatic annotation of the Penn-treebank with LFG f-structureinformation

Lexical-Functional Grammar f-structures are abstract syntactic representations approximating basic predicate-argument structure. Treebanks annotated with f-structure information are required as training resources for stochastic versions of unification and constraint-based grammars and for the automatic extraction of such resources. In a number of papers (Frank, 2000; Sadler, van Genabith and Way, 2000) have developed methods for automatically annotating treebank resources with f-structure information. However, to date, these methods have only been applied to treebank fragments of the order of a few hundred trees. In the present paper we present a new method that scales and has been applied to a complete treebank, in our case the WSJ section of Penn-II (Marcus et al, 1994), with more than 1,000,000 words in about 50,000 sentences.
The Structure Optimization Design of Cutting Disc of Defibrator Based on Monte Carlo Method

This paper aims at the factors that the design needed to be considered. There are diameter and structural of defibrator millstone and the rotational speed and torque of millstone and so on. To optimize the cutting disc size and subarea size and the number of cutting disc fan block etc. which will influence the indicator of performance parameters of cutting disc and to arrive at a more reasonable design parameters via the Monte Carlo simulation method.
Velocity Measurement in Carotid Artery: Quantitative Comparison of Time-Resolved 3D Phase-Contrast MRI and Image-based Computational Fluid Dynamics

Background: Understanding hemodynamic environment in vessels is important for realizing the mechanisms leading to vascular pathologies. Objectives: Three-dimensional velocity vector field in carotid bifurcation is visualized using TR 3D phase-contrast magnetic resonance imaging (TR 3D PC MRI) and computational fluid dynamics (CFD). This study aimed to present a qualitative and quantitative comparison of the velocity vector field obtained by each technique. Subjects and Methods: MR imaging was performed on a 30-year old male normal subject. TR 3D PC MRI was performed on a 3 T scanner to measure velocity in carotid bifurcation. 3D anatomical model for CFD was created using images obtained from time-of-flight MR angiography. Velocity vector field in carotid bifurcation was predicted using CFD and PC MRI techniques. A statistical analysis was performed to assess the agreement between the two methods. Results: Although the main flow patterns were the same for the both techniques, CFD showed a greater resolution in mapping the secondary and circulating flows. Overall root mean square (RMS) errors for all the corresponding data points in PC MRI and CFD were 14.27% in peak systole and 12.91% in end diastole relative to maximum velocity measured at each cardiac phase. Bland-Altman plots showed a very good agreement between the two techniques. However, this study was not aimed to validate any of methods, instead, the consistency was assessed to accentuate the similarities and differences between Time-resolved PC MRI and CFD. Conclusion: Both techniques provided quantitatively consistent results of in vivo velocity vector fields in right internal carotid artery (RCA). PC MRI represented a good estimation of main flow patterns inside the vasculature, which seems to be acceptable for clinical use. However, limitations of each technique should be considered while interpreting results.
The Effective Conductivity of Multiphase Composites with Imperfect Thermal Contact at Constituent Interfaces

This paper studies the effective thermal conductivity of multiphase composite in which a thermal boundary resistance exists at constituent interfaces. Based on the theoretical framework of conductivity for binary system composites in the presence of a thermal contact resistance between matrix and inclusion given by Y. Benveniste and T. Miloh (1986), the fundamental concept is generalized for the case of multiphase composites with imperfect contact which permits a temperature discontinuity between matrix and inclusions of different phases. A micromechanics model, the “generalized self-consistent scheme (GSCS)” based on a particle-matrix embedding in the effective medium, is generalized to evaluate the effective conductivity of multiphase medium with imperfect thermal contact at constituent interfaces. Numerical results are given for three-phase particulate composites with spherical particles to illustrate the effect of imperfect interfaces on the effective thermal conductivity of multiphase composites.
Situación estimada de la zona cohesiva en el horno alto

A series of sinters are manufactured in the pilot plant, using a mineral mixture, like that blast furnace. The sinters are characterised, by chemical and granulometric analysis and by determining the softening and melting temperatures. In the blast furnace temperatures are determined by using a series of probes in the furnace which make it possible to locate the position of the isotherm of higher temperature of 950°C, which correspond to the reserve thermic zone. A model has been developed, proposing and indirect estimation of the shape of the cohesive zone through the determination of the isotherm with the highest temperature in the thermic reserve zone. The values of the softening and melting temperatures of sinters can be used to estimate the isotherms limiting the cohesive zone in the 1300-1400 °C range.
Guideline update for MASCC and ESMO in the prevention of chemotherapy- and radiotherapy-induced nausea and vomiting: results of the Perugia consensus conference.

Despite the relevant progress achieved in the last 20 years,vomiting and, especially, nausea, continue to be two of themost distressing side-effects of cancer chemotherapy. In the late1990s several professional organizations publishedrecommendations on the optimal antiemetic prophylaxis inpatients submitted to chemotherapy and radiotherapy.Subsequently, due to the emergence of new ﬁndings and newantiemetic agents since the ﬁrst recommendations from 1997,representatives from several oncology societies met in Perugia,Italy, in 2004 and updated the antiemetic guidelines. On 20–21June 2009 the European Society of Medical Oncology (ESMO)and the Multinational Association of Supportive Care inCancer (MASCC) organized the third Consensus Conferenceon antiemetics in Perugia. The results of this Conference arereported in this paper.The methodology for the guideline process was based ona literature review through 1 June 2009 using MEDLINE(National Library of Medicine, Bethesda, MD, USA) and otherdatabases, with evaluation of the evidence by an expert panelcomposed of 23 oncology professionals in clinical medicine,medical oncology, radiation oncology, surgical oncology,oncology nursing, statistics, pharmacy, pharmacology, medicalpolicy and decision making. With the participating expertscoming from 10 different countries, on ﬁve continents, webelieve that this is the most representative and evidence-basedguideline process that has yet been performed.The panel comprised 10 committees dealing with majortopics in this ﬁeld (e.g. acute or delayed nausea and vomitinginduced by highly emetogenic chemotherapy). Althoughprevention of acute and delayed nausea and vomiting inducedby highly and moderately emetogenic chemotherapy (HEC andMEC) had speciﬁc committees, these worked ﬁnally together, as