Miracle-dz/UniFAR-FTUs huggingface dataset:
Methane Storage: Molecular Mechanisms Underlying Room-Temperature Adsorption in Zn4O(BDC)3 (MOF-5)

In this paper we study how the methane adsorption properties of the ionic MOF-5 are derived from the local structure of its coordinated metal-cluster. Density functional theory is used to study the adsorption process and identify the key interactions which drive it at ambient temperatures. A detailed adsorption model which represents the adsorption process is derived and used to extract thermodynamic properties from previously reported adsorption isotherms. We find that after adsorption of a single molecule to the face of the metal cluster, a nanostructured surface is formed which enables adsorption of additional CH4 molecules at reduced entropic penalty thanks to on-surface hopping motions and retention of significant translational freedom. Binding of the CH4 molecules to the MOF is dominated by electrostatic interactions with negatively charged carboxylate groups, while CH4–CH4 dispersion interactions are important only at high pressures. Last, the MOF-specific adsorption model is compared against the s.
A Buck-Boost Type Charger with a Switched Capacitor Circuit

In this paper, a buck-boost type battery charger is developed for charging battery set with a lower voltage. This battery charger is configured by a rectifier circuit, an integrated boost/buck power converter and a switched capacitors circuit. A boost power converter and a buck power converter sharing a common power electronic switch are integrated to form the integrated boost/buck power converter. By controlling the common power electronic switch, the battery charger performs a hybrid constant-current/constant-voltage charging method and gets a high input power factor. Accordingly, both the power circuit and the control circuit of the developed battery charger are simplified. The switched capacitors circuit is applied to be the output of the boost converter and the input of the buck converter. The switched capacitors circuit can change its voltage according to the utility voltage so as to reduce the step-up voltage gain of the boost converter when the utility voltage is small. Hence, the power efficiency of a buck-boost type battery charger can be improved. Moreover, the step-down voltage gain of the buck power converter is reduced to increase the controllable range of the duty ratio for the common power electronic switch. A prototype is developed and tested to verify the performance of the proposed battery charger.
Artificial saliva can stimulate chemokine expression in oral fibroblasts

Objectives: Artificial saliva is widely used to overcome reduced natural salivary flow. Natural saliva provokes the expression of chemokines in oral fibroblasts in vitro. However, if artificial saliva changes the expression of chemokines remains unknown. Material and Methods: Here, we investigated the ability of four commercial preparations of artificial saliva to change the expression of chemokines in human oral fibroblasts and the human oral epithelial cell line HSC-2 by means of reverse transcription polymerase chain reaction and immunoassays. Mucins isolated from bovine submaxillary glands and recombinant human mucin 1 were included in the bioassay. Formazan formation and LIVE/DEAD® staining determined the impact of artificial saliva on cell viability. The involvement of signaling pathways was determined by pharmacologic inhibitors and western blotting. Results: We report that Saliva Orthana® containing mucins, but not Aldiamed®, Glandosane® and Saliva natura® provoked a significantly increased expression of CXC ligand 8 (CXCL8, or interleukin 8), CXCL1, and CXCL2 in gingival fibroblasts, but not in HSC-2 cells. Immunoassays for CXCL8 and CXCL1 confirmed the translation at the protein level. The respective dilution of artificial saliva had no impact on formazan formation and LIVE/DEAD® staining. Supporting their potential role as the active component of artificial saliva, mucins isolated from bovine submaxillary glands and recombinant human mucin 1 also increased CXCL8, CXCL1, and CXCL2 expression in gingival fibroblasts. BAY 11-7082, a NF-κB inhibitor, blocked chemokine expression of Saliva Orthana® and bovine mucins. Conclusions: Saliva Orthana® stimulated chemokine expression in gingival fibroblasts. A similar response was observed with mammalian mucins, suggesting that these glycosylated proteins contribute to the changes in gene expression provoked by the respective artificial saliva. Clinical significance: Artificial saliva can incite a cellular response, if however the increased expression of chemokines by isolated fibroblasts in vitro translates into a clinical condition is not clear.
Shell-fish from the Bronze Age Site of Clos des Châtaigniers (Mathieu, Normandy, France)

1. University of Rennes 1, UMR 6566 CReAAH, Campus de Beaulieu, Bât 24-25, 263 avenue de General Leclerc, CS 74205, 35042 Rennes CEDEX. Email: caroline.mougne@gmail.com 2. CNRS, UMR 6566 CReAAH, Campus de Beaulieu, Bât 24-25, 263 avenue de General Leclerc, CS 74205, 35042 Rennes CEDEX.catherine. dupont@univ-rennes1.fr 3. INRAP, UMR 6566 CReAAH, Base INRAP de Bourguebus, 4 boulevard de l'Europe, 14 540 Bourguebus. Email: david.giazzon@inrap.fr 4. CNRS, UMR 6566 CReAAH, Campus de Beaulieu, Bât 24-25, 263 avenue de General Leclerc, CS 74205, 35042 Rennes CEDEX. Email:laurent.quesnel@univ-rennes1.fr
Conference of the European Chapter of the Association for Computational Linguistics Romand 2006: Robust Methods in Analysis of Natural Language Data Workshop Organizers: Programme Committee: Invited Speaker: Workshop Program Table of Contents Another Evaluation of Anaphora Resolution Algorithms and 

Preface Robustness is a fuzzy notion, which accordingly is difficult to define. This difficulty mainly arises from the fact that robustness touches upon the highly subjective and application-specific notion of the norm and the deviation thereof. Thus, robustness is inherently about the unexpected, about all the things that can and will go wrong, which have not been taken care of and which usually cannot be fully anticipated. On the other hand, robustness is one of the most prominent characteristics of intelligent human behaviour which facilitates flexible and sensible responses to a wide variety of unpredictable situations. A closer look at the phenomenon reveals a multitude of different aspects. Thus merely speaking about robustness requires to identify precisely against which particular kind of deviation robust behaviour is desired, a question which is highly dependent on the application and the task at hand. The contributions to this workshop deal with issues of robustness in quite different areas of Natural Language Processing, ranging from anaphora resolution on the one hand to three different sentence analysis tasks on the other. Delmonte et al. compare their system for anaphora resolution against three other systems from the literature and show that it outperforms the other approaches significantly. They attribute this success to the use of a robust parser, which is able to determine surface and deep syntactic relationships robustly. Semantically annotated structures are in the focus of Musillo and Merlo's paper. They modified a statistical parsing model to also assign semantic role labels as annotated in the Prop bank. The solution differs from other approaches in that it integrates both labeling tasks into a single processing step. The results show that despite a 20-fold increase in non-terminals a fairly high f-measure of 82\% was obtained. This corresponds to an absolute reduction of as little as 6\% compared to the baseline system, which only considers purely syntactic categories. Musillo and Merlo interpret this as evidence for the robustness of the underlying stochastic model (Simple Synchrony Network), which does not require making specific assumptions about parameter independence. Philippe Blache applies Property Grammar, a constraint-based formalism for phrase structure descriptions, to shallow parsing of French sentences. Robustness in this case is achieved by relaxing constraints if necessary. Finally, Foth and Menzel investigate the relationship between coverage and accuracy when parsing unrestricted German text. Their results confirm that even for a grammar which is able to determine the optimal structure …
Effect of ablation rings and soil temperature on 3-year spring CO2 efflux along the Dalton Highway, Alaska

Winter and spring soil CO2 efflux measurements represent a significant component in the assessment of annual carbon budgets of tundra and boreal forest ecosystems, reflecting responses to climate change in the Arctic. This study was conducted in order to quantify CO2 efflux, using a portable chamber system at representative sites along the Dalton Highway. Study sites included three tundra, two white spruce, and three black spruce forest locations during the winter and spring seasons of 2010–2012; the study of these sites promised better understanding of winter and spring carbon contributions to the annual carbon budget, as well as the respective ablation-ring effects during spring. Three-year spring CO2 efflux depends on soil temperature at 5 cm depth on a regional scale. At their highest, Q10 values were 4.2× 10, within the exposed tussock tundra of the upland tundra site, which tundra soils warmed from −0.9 to 0.5 C, involving soil microbial activity. From the forest census (400 m) of the two white spruce forest sites, CO2 emissions were estimated as 0.09–0.36 gCm −2 day in winter and 0.14–4.95 gCm day in spring, corresponding to 1–3 % and 1–27 % of annual carbon, respectively. Contributions from spring CO2 emissions are likely to increase as exposed soils widen in average length (major axis) from the east-, west-, south-, and north-side lengths (minor axis). Considering the periods of winter and spring seasons across tundra and boreal forests, average winterand springseasonal CO2 contributions to annual carbon budgets correspond roughly to 14–22 % for tundra and 9–24 % for boreal forest sites during 2011 and 2012. Spring carbon contributions, such as growing season CO2 emissions, are sensitive to subtle changes at the onset of spring and during the snowcovered period in northern high latitudes, in response to recent Arctic climate change.
Cancer Cell Epigenetic Silencing of the MLH 1 CpG Island aberrant gene regulation in cancer

Joy C. Lin,1 Shinwu Jeong,1 Gangning Liang,1 Daiya Takai,1,2 Merhnaz Fatemi,1,3 Yvonne C. Tsai,1 Gerda Egger,1 Einav Nili Gal-Yam,1 and Peter A. Jones1,* 1Departments of Urology, Biochemistry, and Molecular Biology, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, Los Angeles, CA 90089, USA 2Present address: Department of Clinical Laboratory, University of Tokyo Hospital, Tokyo 113-8655, Japan. 3Present address: Laboratory of Molecular Carcinogenesis, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA. *Correspondence: jones_p@ccnt.usc. edu DOI 10.1016/j.ccr. 2007.10. 014
Average Portfolio Insurance Strategies

We design average portfolio insurance (API) strategies with an investment floor and a buffer that is a power of a geometric average of the underlying asset price. We prove that API strategies are optimal for investors with hyperbolic absolute risk aversion who become progressively more risk averse over time. During the averaging period, API strategies reduce the proportion of wealth allocated to the risky asset, which is the traditional life cycle investment recommendation. We compare the sensitivities of the fair price of equivalent payoffs generated by average and constant proportion portfolio insurance strategies and illustrate the performance of API strategies.
3D phenomenological constitutive modeling of shape memory alloys based on microplane theory

This paper concerns 3D phenomenological modeling of shape memory alloys using microplane theory. In the proposed approach, transformation is assumed to be the only source of inelastic strain in 1D constitutive laws considered for any generic plane passing through a material point. 3D constitutive equations are derived by generalizing the 1D equations using a homogenization technique. In the developed model, inelastic strain is explicitly stated in terms of the martensite volume fraction. To compare this approach with incremental constitutive models, such an available model is applied in its 1D integral form to the microplane formulation, and it is shown that both the approaches produce similar results for different uniaxial loadings. A nonproportional loading is then studied, and the results are compared with those obtained from an available model in which the inelastic strain is divided into two separate portions for transformation and reorientation. A good agreement is seen between the results of the two approaches, indicating the capability of the proposed microplane formulation in predicting reorientation phenomena in shape memory alloys. The results of the model are compared with available experimental results for a nonproportional loading path, and a good agreement is seen between the findings.
Optical and Electrical studies of GaAs Nanowire arrays on Si substrates

Six different patterned samples and one unpatterend sample of GaAs/AlGaAs, core/shell, nanowires (NWs) grown by the self-catalysed technique was investigated using scanning electron microscopy and photoluminescence (PL) spectroscopy. The aim was to optimize growth in a way that yielded emission at the free exciton energy of 1.515 eV. To investigate this the samples have been subjected to a temperature of 12 K. The physical sizes have been analyzed and compared. The PL measurements have been used to find the integrated intensity per second for each sample along with the emission energy. Using this with the growth conditions some conclusions have been attempted. The aim of the optimization have not been achieved. None of the patterned samples showed a consistent free exciton emission.
rojections of climate change impacts on potential C 4 crop productivity over ropical regions

Climate change impacts on agriculture could arguably be most critical for developing countries in tropical regions: their populations rely importantly on agriculture and climate-dependant resources, poverty limits their capacity to anticipate and adapt to climate change, and population increase already poses a serious challenge to food security in those regions. Current projections of climate change impacts on tropical crop yields, even though on average negative, remain largely uncertain: there is need for more consistent, large-scale, quantitative assessments. In this study we use a newly developed agro-DGVM (Dynamical Global Vegetation Model including an explicit representation of croplands) driven by projections from several climate models and two SRES scenarios to evaluate climate change impacts on potential C4 crop productivity over Africa and India from 1960 to 2100. We specifically separate the effect of increasing atmospheric CO2 levels. We perform transient simulations directly forced by climate model outputs: to preserve consistency in the analysis despite regional biases in climate models, we analyze yield change on a bioclimatic basis (using the Köppen classification) rather than on a geographical basis. We find that the potential productivity of one of the most important staple crops in those regions, millet, will overall decrease, on average over all models and scenarios, by −6% (individual model projections ranging from −29% to +11%). The bioclimatic analysis allows us to highlight the main climate drivers of these changes. The main impact is a moderate but robust temperature-driven yield decrease over Equatorial and Temperate Köppen zones; larger but much more inconsistent yield changes occur in Arid Köppen zones, reflecting the uncertainty in precipitation projections from climate models. The uncertainty in aggregated impacts reflects the uncertainty over these areas, underlining the need to narrow the uncertainty in precipitation projections over dry areas if more reliable agricultural impact assessments over tropical regions are to be provided. Our results are also consistent with the limited magnitude of the impact of increased atmospheric CO2 levels on C4 crop yields described in the literature. While such climatic impacts further increase the challenge of achieving future food security in developing countries in the Tropics, most of these impacts can arguably ptati be mitigated through ada
A Suggestion as to Guided Regeneration of Bone Defects After Cystectomy – Case Report

The methods used to treat small cysts are well-established and undisputable. Nowadays, the process of bone regeneration for future implants and prosthetic treatment is supplemented by inserting bone-replacement materials into such defects. A problem arises in the case of large cysts, where bone-replacement materials cannot be used to secure proper bone regeneration. After operations on large mandible cysts, the patients are often compelled to use an obdurate for a period of about 2 years to heal the site or decompress the cyst. This makes the treating process very strenuous and long for patients. On the other hand, an excellent alternative seems to be the use of autogenic materials causing no significant mutilation or severe complications. Currently, the best in the regeneration of bone is considered to be autogenously materials that have not only osteoconductive properties, but also osteoinductive and osteogenic. However, it is important to note that obtaining this material was the least burdensome for the patient and it was possible to collect a large amount of tissue. Based on the case presented in this paper, we suggest a tibiae bone as a donor place and platelet rich fibrin as a membrane covering the material and support rapid healing (Dent. Med. Probl. 2014, 51, 2, 252–258).
Nondestructive testing of fiber array with multiple missing fibers

Our goal is to detect defects in composite materials composed by multilayer planar plates with a periodic set of circular cylindrical fibers embedded in each layer. As a starter, the work presented is electromagnetic (EM) modeling and imaging of missing fibers within a fiber array standing in air. The multiple scattering method is utilized to analyze the electromagnetic behavior, and the corresponding imaging model is established directly from Lippman-Schwinger integral formulation. Standard MUltiple SIgnal Classification (MUSIC) and the proposed joint sparsity which borrows the idea of sparse theory are applied to retrieve the locations of missing fibers. Numerical results are provided to confirm availability and accuracy of EM modeling and defect imaging.
POST-GENOMIC TECHNOLOGIES FOR THE ADVANCEMENT OF OIL PALM RESEARCH

For a century, Malaysia has been bestowed with oil palm as one of its economic drivers. In the recent decades, the industry witnesses a major breakthrough in oil palm research with the success of oil palm genome sequencing. The access to genome information opens a new door for the crop improvement towards higher yield and quality. Herein, we highlight the harnessing of this opportunity via genetic engineering, coalesced with transcriptomics, proteomics and metabolomics techniques to lay a foundation for comprehensive and systematic crop advancement programme. With the extensive complement of genes, promoters and constructs for oil palm, and the development of reliable transformation systems, genetic engineering programme has been embarked with an objective to fulfil and sustain the growing global need for oils and fats. The production of transgenic oil palm has been reported and this achievement has further created an opportunity towards genome editing. Spectrometry detection and measurement of oil palm biochemical components aided with chemometrics data interpretation further reinforce post-genomic investigation with in-depth understanding of oil palm biology. The availability of genetic engineering system and the application of omics platform on the genome-wide association study outlined in this article create an unprecedented prospect for oil palm improvement programme.
Cu, Ni and Zn Phytoremediation and Translocation by Water Hyacinth Plant at Different Aquatic Environments.

The ability of water hyacinth (Eichhornia crassipes (Mart.) Solms. ) to absorb and translocate copper (Cu), nickel (Ni) and zinc (Zn) was studied at three different aquatic environments (River Nile, agricultural drain & mixed industrial and agricultural drain). Results showed that at all the studied locations, Cu, Ni and Zn were more accumulated in water hyacinth roots; their concentrations in the roots were 2 to17 times higher than in the shoots. Trace metals accumulation in root tissues was found to be in the order of Zn > Cu > Ni. Maximum values of bioconcentration factor (BCF) for Cu, Ni and Zn in water hyacinth roots were 1344.6, 1250.0 and 22758.6 respectively, indicating that the accumulation potential of Zn by water hyacinth is higher than that for Cu and Ni. Translocation ability (TA) is the ratio between the concentration of a trace element accumulated in root tissues by that accumulated in shoot tissues; a larger ratio implies poorer translocation capability. In this study the ratio results were in the order of Ni > Cu > Zn revealing that Zn is more mobile from roots to shoots than Cu & Ni. Highest concentrations of Cu, Ni and Zn in water were recorded at the mixed industrial and agricultural drain; this was accompanied by the highest accumulation of the three metals in roots of water hyacinths collected from this drain, suggesting that metal content of water hyacinth roots can serve as good bioindicator of metal pollutaion at different aquatic environments. Based on BCF values of the three metals in plant roots, water hyacinth can be primarily utilized as a good phytoaccumulator of Zn followed by Cu then by Ni. Statistical analysis showed positive significant correlations between the trace metals concentrations in ambient water and their accumulation and bioconcentration in roots and shoots of water hyacinth plant.
The phylogeography, post-glacial expansion and systematics of the purple finch (Carpodacus purpureus)

iii ACKNOWLEDGEMENTS iv LIST OF TABLES viii LIST OF FIGURES ix LIST OF ABBREVIATIONS xi CHAPTER ONE: General Introduction 1.1 Physical Barriers 1 1.1.1 Mountain ranges 1 1.1.2 Bodies of water 2 1.1.3 Unsuitable habitat 2 1.1.4 Anthropogenic barriers 3 1.2 Pleistocene Glaciations 4 1.2. 1 Speciation 4 1.2. 2 Climatic changes 6 1.2. 3 Post-glacial expansion 6 1.3 Nonphysical Barriers 7 1.4 Study Species 8 1.5 Molecular Markers 10 1.5. 1 Microsatellites 10 1.5. 2 Mitochondrial markers 11 1.5. 3 Z-linked markers 12 1.6 Ecological Niche Modeling 13 1.7 Thesis Aims 13 CHAPTER TWO: Phylogeography, post-glacial expansion and systematics of the purple finch (Carpodacus purpureus) 2.
CLINICOPATHOLOGIC CORRELATIONS

Conspicuous abnormalities of the coronary arteries and veins and of the sinus node, atrioventricular (A-V) node and His bundle are described in the heart of a boy dying with congenital homocystinuria. The unproven possibility of transient disturbances of cardiac rhythm or conduction is discussed relative to the pathogenesis of the bouts of unconsciousness with and without convulsions characteristic of the disease. Factual information on the stability or instability of electrical activity of the heart in such patients is particularly needed because of the possibility of treatable aspects of an otherwise seemingly inexorable process.