Miracle-dz/UniFAR-FTUs huggingface dataset:
An energy efficient and self-healing 3-dimensional sensor cover

Wireless Sensor Networks (WSNs) promise a maintenance free, fault-tolerant platform for gathering different kinds of data. For widespread adoption of the wireless sensor technology, robustness in the event of abnormal behaviour is critical. In this paper, the coverage problem in a 3-dimensional space is studied. Due to node failures or node migration, some uncovered holes are created. The problem of a self-healing sensor network in the case of coverage holes is addressed through a back up scheme where a designated substitute set of sensor nodes is activated.
8-Cl-cAMP Affects Glioma Cell-Cycle Kinetics and Selectively Induces Apoptosis

8-Chloro-cyclic-adenosine-3′,5′-monophosphate (8-Cl-cAMP), a site-selective synthetic cyclic adenosine 3′,5′-monophosphate (cAMP) analog exhibits growth inhibition in a broad spectrum of human cancer lines. However, detailed studies on the effects exerted by cAMP analogs on cell-cycle kinetics have been lacking. We have examined and compared the effect of 8-Cl-cAMP on cell-cycle kinetics in two human glioma cell lines, U87MG (p53wt) and U251MG (p53mt). A flow cytometric analysis of cell-cycle distribution as well as apoptosis evaluation were performed by univariate DNA analysis after 24–72 hr of treatment with 10–50 μM concentrations of 8-Cl-cAMP. Longer incubation with 8-Cl-cAMP induced dose related accumulation of cells in S phase and a subsequent decrease in the proportion of cells in G0/G1 phase of cell cycle in both cell lines. Time-dependant suppression of cyclin B1 was detected in both glioma cell lines and could be associated with observed G2 delay. However, 8-aCl-cAMP selectively induced apoptotic cell death only in U87MG, but not in U251MG cells. Induction of apoptosis was revealed both by flow cytometry and apoptotic cell morphology. These results provide an insight into the mechanism of 8-aCl-cAMP action, suggesting that the disturbance of cell-cycle kinetics and induction of apoptosis might contribute to its growth-inhibitory effect on cancer cells.
Energy-efficient tracking strategy for wireless sensor networks

In this paper, the problem of tracking cooperative mobile nodes in wireless sensor networks is addressed. Aiming at an efficient resource solution, the research adopts a strategy of combining target tracking with node selection procedures in order to select informative sensors to minimize the energy consumption of the tracking task. We devise a cluster-based architecture to address the limitations in computational, battery power and communications of the sensor devices. To track mobile nodes two kinds of particle filters, bootstrap and unscented particle filter, are considered to estimate the actual position and predict future locations. The particle filters have been already used in tracking algorithms, but their energy efficiency has received less attention. To save energy, a node selection procedure is proposed. The node selection problem is formulated as a cross-layer optimization problem and it is solved using greedy algorithms.
Differential Activation of Pregnane X Receptor and Constitutive Androstane Receptor by Buprenorphine in Primary Human Hepatocytes and HepG2 Cells

Buprenorphine is a partial μ-opioid receptor agonist used for the treatment of opioid dependence that has several advantages over methadone. The principal route of buprenorphine disposition has been well established; however, little is known regarding the potential for buprenorphine to influence the metabolism and clearance of other drugs by affecting the expression of drug-metabolizing enzymes (DMEs). Here, we investigate the effects of buprenorphine on the activation of pregnane X receptor (PXR) and constitutive androstane receptor (CAR), as well as the induction of DMEs, in both HepG2 cells and human primary hepatocytes (HPHs). In HepG2 cells, buprenorphine significantly increased human PXR-mediated CYP2B6 and CYP3A4 reporter activities. CYP2B6 reporter activity was also enhanced by buprenorphine in HepG2 cells cotransfected with a chemical-responsive human CAR variant. Real-time reverse transcription-polymerase chain reaction analysis revealed that buprenorphine strongly induced CYP3A4 expression in both PXR- and CAR-transfected HepG2 cells. However, treatment with the same concentrations of buprenorphine in HPHs resulted in literally no induction of CYP3A4 or CYP2B6 expression. Further studies indicated that buprenorphine could neither translocate human CAR to the nucleus nor activate CYP2B6/CYP3A4 reporter activities in transfected HPHs. Subsequent experiments to determine whether the differential response was due to buprenorphine's metabolic stability revealed a dramatically differential rate of elimination for buprenorphine between HPHs and HepG2 cells. Taken together, these studies indicate that metabolic stability of buprenorphine defines the differential induction of DMEs observed in HepG2 and HPHs, and the results obtained from PXR and CAR reporter assays in immortalized cell line require cautious interpretation.
The Contribution of Neighbourhood Material and Social Deprivation to Survival: A 22-Year Follow-up of More than 500,000 Canadians

Background: We examined the incremental influence on survival of neighbourhood material and social deprivation while accounting for individual level socioeconomic status in a large population-based cohort of Canadians. Methods: More than 500,000 adults were followed for 22 years between 1982 and 2004. Tax records provided information on sex, income, marital status and postal code while a linkage was used to determine vital status. Cox models were used to estimate hazard ratios (HR) for quintiles of neighbourhood material and social deprivation. Results: There were 180,000 deaths over the follow-up period. In unadjusted analyses, those living in the most materially deprived neighbourhoods had elevated risks of mortality (HRmales 1.37, 95% CI: 1.33–1.41; HRfemales 1.20, 95% CI: 1.16–1.24) when compared with those living in the least deprived neighbourhoods. Mortality risk was also elevated for those living in socially deprived neighbourhoods (HRmales 1.15, CI: 1.12–1.18; HRfemales 1.15, CI: 1.12–1.19). Mortality risk associated with material deprivation remained elevated in models that adjusted for individual factors (HRmales 1.20, CI: 1.17–1.24; HRfemales 1.16, CI: 1.13–1.20) and this was also the case for social deprivation (HRmales 1.12, CI: 1.09–1.15; HRfemales 1.09, CI: 1.05–1.12). Immigrant neighbourhoods were protective of mortality risk for both sexes. Being poor and living in the most socially advantageous neighbourhoods translated into a survival gap of 10% over those in the most socially deprived neighbourhoods. The gap for material neighbourhood deprivation was 7%. Conclusions: Living in socially and materially deprived Canadian neighbourhoods was associated with elevated mortality risk while we noted a “healthy immigrant neighbourhood effect”. For those with low family incomes, living in socially and materially deprived areas negatively affected survival beyond their individual circumstances.
Multi-agent Robust Consensus: Convergence Analysis and Application

The paper investigates consensus problem for continuous-time multi-agent systems with time-varying communication graphs subject to process noises. Borrowing the ideas from input-to-state stability (ISS) and integral input-to-state stability (iISS), robust consensus and integral robust consensus are defined with respect to $L_\infty$ and $L_1$ norms of the disturbance functions, respectively. Sufficient and/or necessary connectivity conditions are obtained for the system to reach robust consensus or integral robust consensus, which answer the question: how much communication capacity is required for a multi-agent network to converge despite certain amount of disturbance. The $\epsilon$-convergence time is then obtained for the network as a special case of the robustness analysis. The results are based on quite general assumptions on switching graph, weights rule and noise regularity. In addition, as an illustration of the applicability of the results, distributed event-triggered coordination is studied.
Identities in action: a nexus analysis of identity construction and language shift

This article investigates language shift and identity construction in two Finnic-speaking communities: Lappe in Ontario, Canada and Bugøynes in Northern Norway by asking how the people of these two communities perceive themselves at a time when their minority language is in the process of disappearing. Identity construction through visual and linguistic means are analysed and compared. In both communities, people speak similar minority languages, observe similar traditions and have Finnish items in their homes, but such actions do not carry the same symbolic value. In Lappe, these items and traditions have been allocated social meaning; they are explicitly referred to as ‘Finn’, whereas similar items and traditions do not carry any overt symbolic value in Bugøynes. This symbolic value, or lack thereof, is not a direct result of the items and traditions themselves; rather they mediate social action. An analysis of the social actions and the way these actions take part in identity construction reveals that it is not the traditions and items in themselves that carry symbolic value, but rather the actions that precede or accompany them.
Development of the Regional EPR and PACS Sharing System on the Infrastructure of Cloud Computing Technology Controlled by Patient Identifier Cross Reference Manager

A Newly developed Oshidori-Net2, providing medical professionals with remote access to electronic patient record systems (EPR) and PACSs of four hospitals, of different venders, using cloud computing technology and patient identifier cross reference manager. The operation was started from April 2012. The patients moved to other hospital were applied. Objective is to show the merit and demerit of the new system.
Knowledge Representation for On-Road Driving

This paper will present a knowledge layer used by a hierarchical on-road driving planner that represents a road network as a discrete set of attributed road states. This knowledge layer facilitates the construction of a planning graph by providing simulation and prediction services to the planning system. These services allow the determination of possible spatial transitions along a road network that a vehicle may take from its current location given its current state.
Tetracycline resistance heterogeneity in Enterococcus faecium

The tetracycline (Tet) determinants, which encode resistance either to tetracyclines without minocycline (Tcr) or to tetracyclines including minocycline (Tcr-Mnr), of 30 wild-type clinical isolates of Enterococcus faecium were identified and localized. The Tet determinants were transferred by conjugation into a plasmid-free Enterococcus faecalis recipient at frequencies of 10(-6) to 10(-9) transconjugants per donor, as follows: Tcr, 6 strains; Tcr-Mnr, 14 strains; both Tcr and Tcr-Mnr, 6 strains; no detectable transfer, 4 strains. Classes L (Tcr phenotype) and M and O (Tcr-Mnr phenotype) of the Tet determinants were identified by DNA-DNA hybridization experiments. The Tet L determinant was plasmid-borne in 18 strains and was chromosomal in 2 strains. Tet M was chromosomal in 27 strains and plasmid-borne (pIP1534) in 1 strain; pIP1534 also carried Tet L. Tet M was located on Tn916-like elements in 22 strains and on a Tn916-modified element in 1 strain. Tet O was detected in only one strain in which it was plasmid-borne. Both Tet L and Tet M determinants were carried by 19 strains. One strain carried, in addition to chromosomal nonconjugative Tet L and Tet M determinants, a conjugative Tcr-Mnr marker which did not correspond to any Tet determinant tested in this study. These results attest to the genetic complexity of tetracycline resistance in E. faecium strains.
Positive relationship between melatonin receptor type 1B polymorphism and rheumatoid factor in rheumatoid arthritis patients in the Korean population

Abstract: Melatonin is reported to be an anti‐inflammatory agent. No genetic study concerning the association between melatonin and inflammatory disease has yet been reported. Here we performed a polymorphism study on the melatonin receptor type 1B (MTNR1B) in Korean rheumatoid arthritis (RA) patients and controls. The polymorphism of MTNR1B located in 3′‐untranslated region (rs 1562444) was selected for its higher rate of heterozygosity among other single nucleotide polymorphisms (SNPs) in both MTNR1A and MTNR1B genes and investigated in RA patients (n = 173) and healthy controls (n = 195) by polymerase chain reaction‐restriction fragment length polymorphism assay using NlaIII restriction enzyme. No statistically significant difference in either genotype distribution or allele frequency was observed between RA patients and controls. The genotype distributions and allele frequencies of rheumatoid factor negative [RF(−)] patients were similar to those of controls. However, statistical analysis of genotype revealed a significant association (χ2 = 6.42, P = 0.04) is present between RF(+) and MTNR1B SNP (rs 1562444). Although no statistically significant difference in allele frequency between RF(+) and controls was observed (χ2 = 2.75, P = 0.10), the results might suggest that MTNR1B SNP (rs 1562444) is associated with the presence of RF in RA. This is the first study, to our knowledge, to report a positive genetic relationship between melatonin and RA.
Towards a unified Requirements Modeling Language

Requirements engineering for complex systems often requires inter-disciplinary collaboration between domain experts who might not have software or systems engineering background. Existing requirements modeling languages unfortunately do not support this scenario well. First, the visual notation of languages like UML or SysML does not follow scientific heuristics and therefore does not provide a homogeneous and more important interdisciplinary comprehensible visualization. Second they provide isolated solutions for specific aspects like feature modeling or hazard modeling and therefore do not provide integrated and interdisciplinary traceability. We propose the Unified Requirements Modeling Language (URML) to overcome these two issues. URML integrates aspects like goal modeling, feature modeling and hazard analysis into one model and aims at a homogeneous and comprehensible visualization. In this paper we propose the meta-model for URML, describe the development of the corresponding visualization as well as initial tool support.
What is Basic about Basic Emotions? Lasting Lessons from Affective Neuroscience

A cross-species affective neuroscience strategy for understanding the primary-process (basic) emotions is defended. The need for analyzing the brain and mind in terms of evolutionary stratification of functions into at least primary (instinctual), secondary (learned), and tertiary (thought-related) processes is advanced. When viewed in this context, the contentious battles between basic-emotion theorists and dimensional-constructivist approaches can be seen to be largely nonsubstantial differences among investigators working at different levels of analysis.
Effect of amplitude correlations on coherence in the local field potential

Neural activity across the brain shows both spatial and temporal correlations at multiple scales, and understanding these correlations is a key step toward understanding cortical processing. Correlation in the local field potential (LFP) recorded from two brain areas is often characterized by computing the coherence, which is generally taken to reflect the degree of phase consistency across trials between two sites. Coherence, however, depends on two factors—phase consistency as well as amplitude covariation across trials—but the spatial structure of amplitude correlations across sites and its contribution to coherence are not well characterized. We recorded LFP from an array of microelectrodes chronically implanted in the primary visual cortex of monkeys and studied correlations in amplitude across electrodes as a function of interelectrode distance. We found that amplitude correlations showed a similar trend as coherence as a function of frequency and interelectrode distance. Importantly, even when phases were completely randomized between two electrodes, amplitude correlations introduced significant coherence. To quantify the contributions of phase consistency and amplitude correlations to coherence, we simulated pairs of sinusoids with varying phase consistency and amplitude correlations. These simulations confirmed that amplitude correlations can significantly bias coherence measurements, resulting in either over- or underestimation of true phase coherence. Our results highlight the importance of accounting for the correlations in amplitude while using coherence to study phase relationships across sites and frequencies.
Workshop on the relationship between design and HCI

INTRODUCTION The field of HCI emerged out of an interaction between computer science and behavioral science; two disciplines with a rationale and scientific approach to research and development. More recently there has been a growing interest in the role designers and the design process can play in HCI. The creation of the Designing Interactive Systems conference (ACM DIS) in 1995; the CHI@20 paper where Don Norman suggests that design is “skill one” and Stu Card calls for a robust HCI component within Industrial Design[4]; and the Design and Emotion theme from last year’s CHI in Florida all offer anecdotal evidence of this growing interest.
Early Childhood Music Education

This article aims to present the information about music education in early childhood in various aspects 1) The ideas of early childhood education 2) The principles of early childhood education 3) The importance of teaching music in early childhood education 4) State and problems of teaching music in early childhood education in non-formal school setting and 5) The Guidelines for Developing of teaching music in early childhood education in non-formal school setting.
Modeling energy constrained routing in selfish ad hoc networks

In static networks, game theory has long been used to model the routing decisions of network nodes. However, once we move to dynamic and resource constrained settings, such as ad hoc or sensor networks, traditional models are no longer sufficient. Instead, new models that capture the dynamic nature of the decisions and the resource constraints of the devices are needed. To date, several models that attempt to capture the dynamic nature of routing decisions have been proposed. However, the resource constraints of the devices and the uncertainty about the resources of other devices have been thus far ignored. To this end, we present a game theoretic model that formalizes the resources of the nodes and the beliefs the nodes have about the resources of other nodes. We also discuss the structure of strategies in the proposed model and make explicit the role the resources and beliefs of the nodes play in routing decisions. In addition to presenting a game theoretic model, we propose a method that allows the nodes to learn equilibrium strategies over time, and prove that the strategies suggested by the mechanism converge to a sequential equilibrium. Finally, we present simulations that give insights into the expected behavior of the devices under the proposed model.
Alcohol and Rape

This study examined the effects of victim and offender intoxication on attributions of blame in a rape incident. Participants read scenarios of a rape incident in which victim, offender, both, or neither were intoxicated. The male offender was attributed less and the situation was attributed more responsibility when the offender was drunk than when he was sober. In addition, participants derogated the female victim's character and assigned her greater responsibility when she was drunk than when she was sober.
Oral Microbiome of Deep and Shallow Dental Pockets In Chronic Periodontitis

We examined the subgingival bacterial biodiversity in untreated chronic periodontitis patients by sequencing 16S rRNA genes. The primary purpose of the study was to compare the oral microbiome in deep (diseased) and shallow (healthy) sites. A secondary purpose was to evaluate the influences of smoking, race and dental caries on this relationship. A total of 88 subjects from two clinics were recruited. Paired subgingival plaque samples were taken from each subject, one from a probing site depth >5 mm (deep site) and the other from a probing site depth ≤3mm (shallow site). A universal primer set was designed to amplify the V4–V6 region for oral microbial 16S rRNA sequences. Differences in genera and species attributable to deep and shallow sites were determined by statistical analysis using a two-part model and false discovery rate. Fifty-one of 170 genera and 200 of 746 species were found significantly different in abundances between shallow and deep sites. Besides previously identified periodontal disease-associated bacterial species, additional species were found markedly changed in diseased sites. Cluster analysis revealed that the microbiome difference between deep and shallow sites was influenced by patient-level effects such as clinic location, race and smoking. The differences between clinic locations may be influenced by racial distribution, in that all of the African Americans subjects were seen at the same clinic. Our results suggested that there were influences from the microbiome for caries and periodontal disease and these influences are independent.
Study on Leakage Acoustic Signal in Natural Gas Pipeline

The leakage is a serious threat to safety in natural gas transportation pipeline system. When the leakage is happening, the acoustic signal is generated by high-speed jet flow from inter pipelines. Leakage acoustic signal propagates within pipelines, and it can be collected by sensors. Leakage can be detected and located by leakage acoustic signal. The mechanisms of leakage acoustic signal is considerably complex, meanwhile, collecting signal includes much noise, which reduces the accuracy of leakage identification and location. This paper builds a numerical simulation model and analyzes frequency characteristics of leak acoustic signal by CFD (computational fluid dynamics) software. Calculation results of typical chaotic characteristic parameters demonstrate that leakage acoustic signals have chaos. Linear noise reduction methods are not suitable to leakage acoustic signal. Compared to noise reduction effect of wavelet packing and local projection, the latter method can effectively separate noise components and remain high frequency contents. Indoor simulation experimental results indicate that local projection method is suitable for leakage acoustic series noise reduction.
Behavioral / Systems / Cognitive Hippocampal Place Cells Can Encode Multiple Trial-Dependent Features through Rate Remapping

Kevin Allen,1,2 J. Nick P. Rawlins,3 David M. Bannerman,3 and Jozsef Csicsvari1,4 1MRC Anatomical Neuropharmacology Unit, Department of Pharmacology, University of Oxford, Oxford, OX1 3TH, United Kingdom, 2Department of Clinical Neurobiology, Heidelberg University Hospital and German Cancer Research Center (DKFZ), INF 280, 69120 Heidelberg, Germany, 3Department of Experimental Psychology, University of Oxford, Oxford, OX1 3UD, United Kingdom, and 4Institute of Science and Technology Austria, Klosterneuburg, A-3400, Austria