bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimal Phasor Measurement Unit Placement for Numerical Observability Using A Two-Phase Branch-and-Bound Algorithm
Authors: Theodorakatos Nikolaos P. 
Published: February 2018

Abstract
Given an undirected graph representing the network, the optimization problem of finding the minimum number of phasor measurement units to place on the edges such that the graph is fully observed, is studied. The proposal addresses the issue of the optimization using a two-phase branch-and-bound algorithm based on combining both Depth-First Search and Breadth-First Search algorithms to attempt to find guaranteed global solutions for OPP. The problem in question is stated, outlining the underlying mathematical model in use formulated in terms of (pure) mixed-integer-linear-programming (MILP) and the branch-and-bound algorithm adopted to obtain efficient solutions in practice. A topology based on transformations considering pre-existing conventional and zero injection measurements in a power network is implemented. The (zero-one) (MILP) model is applied to IEEE systems. The numerical results indicate that the branch-and-bound ensures solution points at the optimal objective function value from a global-optimization point of view. The synchronized and conventional measurements are included in a (DC) linearized State Estimator (SE). The topological observability analysis is verified numerically based on observability criteria for achieving solvability of state estimation. Large-scale systems is also analyzed to exhibit the applicability of the proposed algorithm to practical power system cases.
Narrative circulation, disputed transformations, and bilingual appropriations at a public school “somewhere in La Mancha”
Authors: Relaño-Pastor Ana María 
Published: February 2018

AbstractThis article addresses the narratives of bilingualism that emerged in ethnographic interviews with members of Sancho’s Primary in La Mancha city (Spain), whose prestige as the first MEC/British bilingual school in town has been disputed, transformed and eventually socially accepted as competitively eligible in the global market for two decades. By bringing to the fore a perspective of heteroglossia, the article discusses stakeholders’ stancetaking towards the salient tensions and dilemmas related to bilingualism in the region of Castilla-La Mancha. The analysis discusses how Sancho’s stakeholders by means of indexical meanings and heteroglossic resources come to terms with bilingualism as ideology and practice regarding who the legitimate teacher of English is, whose English-es are legitimated, which classroom practices are most valued and who can guarantee the status and prestige of bilingual programs in this region. In addition, the analysis emphasizes the validity of narratives emerging in interviews as situated, context-dependent, and contextualizing practices shaped by the conditions of linguistic ethnography, while shaping the researcher and participants’ significant values, beliefs and ideas about bilingualism and bilingual programs in Castilla-La Mancha.
Self-Adaptive Mussels Wandering Optimization Algorithm with Application for Artificial Neural Network Training
Authors: Abusnaina Ahmed A. , Abdullah Rosni , Kattan Ali 
Published: February 2018

Abstract
The mussels wandering optimization (MWO) is a recent population-based metaheuristic optimization algorithm inspired ecologically by mussels’ movement behavior. The MWO has been used successfully for solving several optimization problems. This paper proposes an enhanced version of MWO, known as the enhanced-mussels wandering optimization (E-MWO) algorithm. The E-MWO aims to overcome the MWO shortcomings, such as lack in explorative ability and the possibility to fall in premature convergence. In addition, the E-MWO incorporates the self-adaptive feature for setting the value of a sensitive algorithm parameter. Then, it is adapted for supervised training of artificial neural networks, whereas pattern classification of real-world problems is considered. The obtained results indicate that the proposed method is a competitive alternative in terms of classification accuracy and achieve superior results in training time.
A hierarchical Bayesian tri-variate analysis on factors associated with anthropometric measures in a large sample of children and adolescents: the CASPIAN-IV study
Authors: Kelishadi Roya , Heidari Zahra , Kazemi Iraj , Jafari-Koshki Tohid , Mansourian Marjan , Motlagh Mohammad-Esmaeil , Heshmat Ramin 
Published: February 2018

Abstract

Background:
This study aimed to assess determinants of anthropometric measures in a nationally representative sample of Iranian children and adolescents.

Methods:
This nationwide study was conducted among 13,280 students, aged 6–18 years, who were randomly selected from 30 provinces in Iran. Anthropometric measures were determined by calibrated instruments. Demographic and socio-economic (SES) variables, lifestyle behaviors, family history of chronic disease and prenatal factors were studied, as well. A hierarchical Bayesian tri-variate analysis was used to assess the factors associated with obesity measures of the body mass index (BMI), waist-to-height ratio (WHtR) and wrist circumference (WrC).

Results:
The results showed that the BMI was associated with SES score, family history of obesity, family history of diabetes mellitus, physical inactivity, screen time, duration of sleep, breakfast consumption, birth weight, breastfeeding, junk food and place of residence (urban-rural). All these factors were also significantly associated with WrC except for consumption of junk food. Many of these factors had a partial but significant relationship with WHtR.

Conclusions:
Various factors contribute to obesity. Preventive and educational programs on manageable factors such as increasing physical activity, eating breakfast and limiting TV or screen time could be helpful in controlling obesity in schoolchildren and reducing associated complications.
Conceiving God: Literal and Figurative Prompt for a More Tectonic Distinction
Authors: Masson Robert 
Published: February 2018

Abstract
John Sanders’ Theology in the Flesh, the first comprehensive overview of the toolkit that contemporary cognitive linguistics offers for theological appropriation, despite its remarkable success, gives rather minimal attention to blending theory, one of the discipline’s most formidable tools. This paper draws on blending theory to offer an alternative to Sanders’ chapter on conceiving God. Central to the proposal is claim that God-talk, like many of the advances in science, technology, and art, entails a kind of tectonic understanding and conceptual mapping that is neither literal nor figurative.
Vocabulary on nominal property, examination, and related concepts for clinical laboratory sciences (IFCC-IUPAC Recommendations 2017)
Authors: Nordin Gunnar , Dybkaer René , Forsum Urban , Fuentes-Arderiu Xavier , Pontet Françoise 
Published: February 2018

Abstract
Scientists of disciplines in clinical laboratory sciences have long worked on a common language for efficient and safe request of investigations, report of results, and communication of experience and scientific achievements. Widening the scope, most scientific disciplines, not only clinical laboratory sciences, rely to some extent on various examinations in addition to measurements. The ‘International vocabulary of metrology – Basic and general concepts and associated terms’ (VIM), is designed for metrology, the science of measurement. The aim of this vocabulary is to suggest definitions and explanations of concepts and a selection of terms related to nominal properties, i.e. properties that have no size.
Privacy-preserving Wi-Fi Analytics
Authors: Alaggan Mohammad , Cunche Mathieu , Gambs Sébastien 
Published: February 2018

Abstract
As communications-enabled devices are becoming more ubiquitous, it becomes easier to track the movements of individuals through the radio signals broadcasted by their devices. Thus, while there is a strong interest for physical analytics platforms to leverage this information for many purposes, this tracking also threatens the privacy of individuals. To solve this issue, we propose a privacy-preserving solution for collecting aggregate mobility patterns while satisfying the strong guarantee of ε-differential privacy. More precisely, we introduce a sanitization mechanism for efficient, privacy-preserving and non-interactive approximate distinct counting for physical analytics based on perturbed Bloom filters called Pan-Private BLIP. We also extend and generalize previous approaches for estimating distinct count of events and joint events (i.e., intersection and more generally t-out-of-n cardinalities). Finally, we evaluate expirementally our approach and compare it to previous ones on real datasets.
Functional Credentials
Authors: Deuber Dominic , Maffei Matteo , Malavolta Giulio , Rabkin Max , Schröder Dominique , Simkin Mark 
Published: February 2018

AbstractA functional credential allows a user to anonymously prove possession of a set of attributes that fulfills a certain policy. The policies are arbitrary polynomially computable predicates that are evaluated over arbitrary attributes. The key feature of this primitive is the delegation of verification to third parties, called designated verifiers. The delegation protects theprivacy of the policy: A designated verifier can verify that a user satisfies a certain policy without learning anything about the policy itself. We illustrate the usefulness of this property in different applications, including outsourced databases with access control. We present a new framework to construct functional credentials that does not require (non-interactive) zero-knowledge proofs. This is important in settings where the statements are complex and thus the resulting zero-knowledge proofs are not efficient. Our construction is based on any predicate encryption scheme and the security relies on standard assumptions. A complexity analysis and an experimental evaluation confirm the practicality of our approach.
Hessian-based covariance approximations in variational data assimilation
Authors: Gejadze Igor Yu. , Shutyaev Victor P. , Le Dimet François-Xavier 
Published: February 2018

AbstractThe problem of variational data assimilation (estimation) for a nonlinear model is considered in general operator formulation. Hessian-based methods are presented to compute the estimation error covariances. The importance of dynamic formulation and the role of the Hessian and its inverse are discussed.
Experimental Verification of Integrity of Low-Pressure Injection Piles Structure – Pile Internal Capacity
Authors: Pachla Henryk 
Published: February 2018

Abstract
The idea of strengthening the foundation using injection piles lies in transferring loads from the foundation to the piles anchorage in existing structure and formed in the soil. Such a system has to be able to transfer loads from the foundation to the pile and from the pile onto the soil. Pile structure often reinforced with steel element has to also be able to transfer such a loading. According to the rules of continuum mechanics, the bearing capacity of such a system and a deformation of its individual elements can be determined by way of an analysis of the contact problem of three interfaces. Each of these surfaces is determined by different couples of materials. Those surfaces create: pile-foundation anchorage, bonding between reinforcement and material from which the pile is formed and pilesoil interface. What is essential is that on the contact surfaces the deformation of materials which adhere to each other can vary and depends on the mechanical properties and geometry of these surfaces. Engineering practice and experimental research point out that the failure in such structures occurs at interfaces. The paper is concentrating on presenting the experiments on interaction between cement grout and various types of steel reinforcement. The tests were conducted on the special low pressure injection piles widely used to strengthen foundations of already existing structures of historical buildings due to the technology of formation and injection pressure.
TGF-Β as a Marker of Ulcerative Colitis and Disease Severity
Authors: Jovanovic Marina , Zdravkovic Natasa , Jovanovic Ivan , Radosavljevic Gordana , Gajovic Nevena , Zdravkovic Nebojsa , Maric Veljko , Arsenijevic Nebojsa 
Published: February 2018

Abstract
Ulcerative colitis (UC) represents chronic inflammation of the large intestine. Immune response plays an important role in disease genesis and progression. Activated leukocytes secrete several cytokines that actively regulate the inflammatory response in UC. The aim of this study was to determine levels of cytokines IL-17, IL-27, IFN-γ and TGF-β in patients with UC and to test them as biomarkers for disease.
The blood samples of 24 patients with ulcerative colitis without previous treatment and 37 healthy individuals were analyzed. Serum levels of IL-17, IL-27, IFN-γ and TGF-β were measured using sensitive enzyme-linked immunosorbent assay (ELISA) kits.
Serum levels of IL-17, IL-27, IFN-γ and TGF-β were increased in patients with UC, compared to healthy controls (p=0.022; p=0.001; p=0.001; and p=0.002; respectively). Ratios of cytokines IL-27/IL-17, IFN-γ/TGF-β and IL-17/TGF-β were significantly higher in group of patients with UC (p=0.002; p=0.002; p=0.003; respectively). Serum value of TGF-β higher than 20 pg/ml presents a highly sensitive and specific marker for UC.
We believe that increased production and predominance of immunosupressive TGF-β may represent compensatory mechanism for ongoing pro-inflammatory processes in UC.
A multiple-dose double-blind randomized study to evaluate the safety, pharmacokinetics, pharmacodynamics and analgesic efficacy of the TRPV1 antagonist JNJ-39439335 (mavatrep)
Authors: Manitpisitkul Prasarn , Flores Christopher M. , Moyer John A. , Romano Gary , Shalayda Kevin , Tatikola Kanaka , Hutchison James S. , Mayorga Arthur J. 
Published: February 2018

Abstract

Background and aims:
This double-blind (DB), randomized, placebo-controlled, sequential-group, multiple-ascending dose, phase 1 study evaluated safety, pharmacokinetics and pharmacodynamics of JNJ-39439335 in healthy men (part 1), and in participants with knee osteoarthritis (part 2).

Methods:
Both parts 1 and 2 consisted of screening (upto 21 days), 21-day DB treatment phase [eight participants/group: JNJ-39439335 (part 1: 2–50 mg; part 2: 10–50 mg): n=6; placebo: n=2] and follow-up (total study duration ~10 weeks).

Results:
Plasma concentrations and systemic exposure of JNJ-39439335 increased in slightly higher than dose-proportional fashion (steady-state reached by day 14). Renal excretion of JNJ-39439335 was negligible. Marked dose-related increases in pharmacodynamic heat pain assessments were observed in JNJ-39439335-treated participants, which persisted throughout the treatment with no signs of tolerance with repeated dosing. No effect on pharmacodynamic cold pain or mechanical pain assessments were seen. Effects on pharmacodynamic capsaicin-induced flare assessments in JNJ-39439335-treated participants versus placebo were consistent with effects observed with single-dose, and did not demonstrate tolerance with multiple dosing. In participants with knee osteoarthritis, significant improvements versus placebo were observed in a stair-climbing-induced pain model. All JNJ-39439335-treated participants reported ≥1 treatment-emergent adverse events (TEAE); most common (≥50% incidence) TEAEs in part 1 were feeling hot (79%), thermohypoesthesia (71%), paresthesia (58%) and feeling cold (50%), and in part 2, were minor thermal burns (50%).

Conclusions:
JNJ-39439335 (doses 2–50 mg) was well-tolerated, and associated with acceptable multiple-dose pharmacokinetic profile. JNJ-39439335 demonstrated sustained pharmacodynamic effects (heat pain perception, heat pain latency, capsaicin-induced flare), and an efficacy signal in participants with osteoarthritis pain.

Implications:
Given the efficacy signal observed and the unique safety profile, larger phase 2 studies are needed to better understand the potential of JNJ-39439335 in the treatment of chronic pain. Analgesic efficacy of lower doses administered over a longer period of time and improved patient counseling techniques to reduce the minor thermal burns can be explored to minimize the adverse events.
Ein Vorschlag für ein neues Verständnis von Joh 12,39–40
Authors: Förster Hans 
Published: February 2018

Abstract:
John 12,40, a quote from Isaiah 6,10 (albeit in a wording which differs from the Septuagint), has been acknowledged as crux interpretum. In order to make things easier to understand, some modern translations insert “God” as the subject of John 12,40a. This insertion is against all known Greek witnesses. Moreover, it is unnecessary and – since “God” is not the subject of John 12,40a – misleading. An analysis of syntax and semantics reveals the grammatical errors of the traditional view of John 12,39–40. The newly analysed text is the basis of a new translation. If this proposed new meaning of the text is used for interpretation, there is no crux interpretum.
Fabrication of Protein Microparticles and Microcapsules with Biomolecular Tools
Authors: Cheung Kwan Yee , Lai Kwok Kei , Mak Wing Cheung 
Published: February 2018

Abstract
Microparticles have attracted much attention for medical, analytical and biological applications. Calcium carbonate (CaCO3) templating method with the advantages of having narrow size distribution, controlled morphology and good biocompatibility that has been widely used for the synthesis of various protein-based microparticles. Despite CaCO3 template is biocompatible, most of the conventional methods to create stable protein microparticles are mainly driven by chemical crosslink reagents which may induce potential harmful effect and remains undesirable especially for biomedical or clinical applications. In this article, we demonstrate the fabrication of protein microparticles and microcapsules with an innovative method using biomolecular tools such as enzymes and affinity molecules to trigger the assembling of protein molecules within a porous CaCO3 template followed by a template removal step. We demonstrated the enzyme-assisted fabrication of collagen microparticles triggered by transglutaminase, as well as the affinity-assisted fabrication of BSA-biotin avidin microcapsules triggered by biotin-avidin affinity interaction, respectively. Based on the different protein assemble mechanisms, the collagen microparticles appeared as a solid-structured particles, while the BSA-biotin avidin microcapsules appeared as hollow-structured morphology. The fabrication procedures are simple and robust that allows producing protein microparticles or microcapsules under mild conditions at physiological pH and temperature. In addition, the microparticle morphologies, protein compositions and the assemble mechanisms were studied. Our technology provides a facile approach to design and fabricate protein microparticles and microcapsules that are useful in the area of biomaterials, pharmaceuticals and analytical chemistry.
Monitoring Athlete Load: Data Collection Methods and Practical Recommendations
Authors: Wing Chris 
Published: February 2018

ABSTRACT
COLLECTING DATA ABOUT ATHLETE LOAD ENABLES SUPPORT STAFF TO MAKE APPROPRIATE CHANGES TO AN ATHLETE OR TEAM'S TRAINING DOSE. THROUGH THIS CAREFUL MANIPULATION, ATHLETE INJURY AND ILLNESS OCCURRENCE CAN BE REDUCED. FURTHERMORE, ATHLETES CAN BE SAFELY RETURNED TO PLAY AFTER INJURY. THERE ARE SEVERAL DATA COLLECTION METHODS AVAILABLE WHICH INCLUDE: RATING OF PERCEIVED EXERTION, GLOBAL POSITIONING SYSTEMS, WELLNESS QUESTIONNAIRES, AND HEART RATE MEASURES. WHICH ONES TO ADOPT AND HOW TO IMPLEMENT THEM WITHIN PRACTICE CAN DEPEND ON SEVERAL FACTORS. ULTIMATELY, THE WAY IN WHICH THE DATA ARE USED TO INFORM PRACTICE IS THE KEY TO EFFECTIVE LOAD MANAGEMENT.
The Sync/deSync Model: How a Synchronized Hippocampus and a Desynchronized Neocortex Code Memories
Authors: Parish George , Hanslmayr Simon , Bowman Howard 
Published: February 2018

Neural oscillations are important for memory formation in the brain. The desynchronization of alpha (10 Hz) oscillations in the neocortex has been shown to predict successful memory encoding and retrieval. However, when engaging in learning, it has been found that the hippocampus synchronizes in theta (4 Hz) oscillations, and that learning is dependent on the phase of theta. This inconsistency as to whether synchronization is “good” for memory formation leads to confusion over which oscillations we should expect to see and where during learning paradigm experiments. This paper seeks to respond to this inconsistency by presenting a neural network model of how a well functioning learning system could exhibit both of these phenomena, i.e., desynchronization of alpha and synchronization of theta during successful memory encoding.We present a spiking neural network (the Sync/deSync model) of the neocortical and hippocampal system. The simulated hippocampus learns through an adapted spike-time dependent plasticity rule, in which weight change is modulated by the phase of an extrinsically generated theta oscillation. Additionally, a global passive weight decay is incorporated, which is also modulated by theta phase. In this way, the Sync/deSync model exhibits theta phase-dependent long-term potentiation and long-term depression. We simulated a learning paradigm experiment and compared the oscillatory dynamics of our model with those observed in single-cell and scalp-EEG studies of the medial temporal lobe. Our Sync/deSync model suggests that both the desynchronization of neocortical alpha and the synchronization of hippocampal theta are necessary for successful memory encoding and retrieval.SIGNIFICANCE STATEMENTA fundamental question is the role of rhythmic activation of neurons, i.e., how and why their firing oscillates between high and low rates. A particularly important question is how oscillatory dynamics between the neocortex and hippocampus support memory formation. We present a spiking neural-network model of such memory formation, with the central ideas that (1) in neocortex, neurons need to break out of an alpha oscillation to represent a stimulus (i.e., alpha desynchronizes), whereas (2) in hippocampus, the firing of neurons at theta facilitates formation of memories (i.e., theta synchronizes). Accordingly, successful memory formation is marked by reduced neocortical alpha and increased hippocampal theta. This pattern has been observed experimentally and gives our model its name—the Sync/deSync model.