Miracle-dz/UniFAR-FTUs huggingface dataset:
Groups III and V impurity solubilities in silicon due to laser, flash, and solid-phase-epitaxial-regrowth anneals

• A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
A fast preliminary estimation model for transoceanic tsunami propagation

A simplified one-dimensional method is proposed to estimate the height of the leading wave of transoceanic tsunamis bymeans of a directivity function applied to the one-dimensional finite difference model based on the shallow water equations. Thenumerical modeling of the October 4, 1994 Shikotan tsunami, and the analysis of its deep-ocean signature observed at a distanceof ~6300 km from the source, as well as the analysis of the linear shallow water equations (non-dispersive theory) and of theBoussinesq equations (dispersive theory), shows that the frequency dispersion mechanism, as prescribed by Boussinesq equations,is a necessary and sufficient condition to simulate the transoceanic propagation of tsunamis. The analytical results from nondispersiveequations, as compared with those obtained using dispersive theory, overestimate significantly the height of the leadingwave of large and medium size tsunamis. The results confirm that the linear shallow water equations solved by an explicit centralfinite difference method are appropriate to simulate the tsunami propagation from the source area to the far field. This is due to thefact that the inherent frequency dispersion in the numerical method mimics the frequency dispersion prescribed by Boussinesqequations (Imamura et al., 1990; Liu et al., (1995).
Eleventh International Multi-Conference on Information Processing-2015 ( IMCIP-2015 ) Search-Based Object-Oriented Software Re-Structuring with Structural Coupling Strength Amarjeet

In real world, the software systems often need to be continuously modified to satisfy the ever changing requirements and environment. Mostly, it is carried out without following the original design principles of the system. Over a period of time, such a continuous modification deteriorates the structural quality, hence increases the system complexity. To improve the structural quality of whole system, the software clustering seems more feasible technique. Recently, the search – based approach gain more attention to solve the software clustering problem. In this paper, we propose a search – based multi – objective optimization to re-structure the object – oriented software system using different coupling strength scheme such as binary coupling, absolute coupling and relative coupling scheme. The approach is evaluated over four real – world and three random software applications. The experimentation results show that how the use of absolute and relative coupling strength scheme leads to generate more effective solutions compared binary coupling strength. © 2015 The Authors. Published by Elsevier B.V. Peer-review under responsibility of organizing committee of the Eleventh International Multi-Conference on Information Processing-2015 (IMCIP-2015).
Benchmarking and Improving Recovery of Number of Topics in Latent Dirichlet Allocation Models

Latent Dirichlet Allocation (LDA) is a generative model describing the observed data as being composed of a mixture of underlying unobserved topics, as introduced by Blei et al. (2003). A key hyperparameter of LDA is the number of underlying topics k, which must be estimated empirically in practice. Selecting the appropriate value of k is essentially selecting the correct model to represent the data; an important issue concerning the goodness of fit. We examine in the current work a series of metrics from literature on a quantitative basis by performing benchmarks against a generated dataset with a known value of k and evaluate the ability of each metric to recover the true value, varying over multiple levels of topic resolution in the Dirichlet prior distributions. Finally, we introduce a new metric and heuristic for estimating kand demonstrate improved performance over existing metrics from the literature on several benchmarks.
A DETAIL REVIEW ON ENERGY EFFICIENT FAULT-TOLERANCETECHNIQUES AND RELATED ISSUES IN WSNS

In this paper we give a survey on various fault tolerance techniques and related issues in distributed systems and WSNs. More specially speaking, we talk about two most important issues; multiple fault handling capability and performance. This survey provides the related research results and also explored the future directions about fault tolerance techniques, and it is a good reference for researcher.
A Mathematical Model to Simulate the Cellular Dynamics of Adult T-cell Leukemia Induced by HTLV-I Infection

HTLV-I induced adult T-cell leukemia (ATL) is a good example of dysregulative leukemogenesis. It thus can validate a mathematical model designed to simulate cell proliferation under physiological and pathological conditions. Model development follows several steps beginning with a basic model containing physiological T-cell pools to the introduction of infectious stimuli in the final model. The simulation results correspond well to the data as documented in human patients. They suggest that the mathematical model presented here for the simulation of T-cell levels in a given virus infection may well serve as a tool for similar studies of other viral infections including those causing cellular aplasia or hyperplasia. Key-Words: Mathematical modeling; ATL; HTLV-I
Physiological Aspects of Walking in Simulated Hypogravity

Salisbury T, Baptista RR, Fei J, Susin F, Russomano T. Physiological Aspects of Walking in Simulated Hypogravity. JEPonline 2015;18(2):13-24. The purpose of this study was to compare the differences in gait between land (1G), Lunar (Lunar G), and Martian (Mars G) based ambulation. Nine subjects (mean age = 24.2 ± 3.4; weight = 69.88 ± 14.65kg; height = 163.22 ± 7.8cm; 5 male and 4 female) were placed in a Body Suspension Device (BSD) and had baseline oxygen consumption (VO2) measured along with measures of comfort, pain, and exertion. Then, the BSD was engaged and the subjects underwent 10 min of walking at a self-selected speed in a simulated Mars G or Lunar G environment. The findings demonstrate that as gravity is decreased, self-selected walking speed decreases. However, there was no significant difference in relative and absolute VO2 between Lunar G and Mars G. The experiment will be repeated using a lower body positive pressure device that will enable the comparison of results.
The energetic 2010 MW 7.1 Solomon Islands tsunami earthquake

SUMMARY On 2010 January 3 a moment magnitude MW 7.1 earthquake struck the Solomon Islands very near the San Cristobal trench, causing extensive landslides and surprisingly large tsunami waves. Because of the unique proximity of islands to the trench (<20 km) and earthquake, a post-seismic survey successfully identified unexpected widespread coseismic subsidence towards the trench (up to 80 cm), with no discernable post-seismic deformation. Approximately 1000 km from the earthquake ocean-bottom pressure sensors measured 1–2 cm open-ocean tsunami waves. Though spatially limited, the local tsunami wave heights up to 7 m were comparable to the much larger adjacent 2007 MW 8.1 earthquake. The seismically determined focal mechanism, broad-scale subsidence, tsunami amplitude and open ocean wave heights are all explained by an extremely shallow low-angle thrust adjacent to the impinging subduction of the two seamounts near the trench. This event belongs to a potentially new class of shallow ‘tsunami earthquakes’ that is not identified as deficient in radiated seismic energy.
SOCIO-ECONOMICALLY MARGINALIZED (MIGRANT FARMWORKERS) IN MEXICO: THEORETICAL APPROACHES TO THEM STUDY

This article is the result of scientific-sociological research, which was consisted in identify the main characteristics of the theory of marginality as a theoretical foundation for the study of migrant farmworkers. The author found that the study of migrant farm workers being socio-economically marginalized should be conducted from the positions of the theory of marginality, because this group of people has all the traits of marginalized: feeling “useless” in the new postindustrial society , present apathy, resistance, frustration, impotence, staff neglect and fatalism, absence of excellence spirit, accepting conformity with what little they have without trying to project towards a brighter future, formation of new identities and struggle. The theory of marginality analyzes not only the economic and social condition of the marginal people, but also their psychological state, that determines the first two: the marginalized internalize their exclusion and depend on it insomuch that cannot live without it, lose the orientation and even the very meaning of life.
Characterization of flow transport within pore spaces of an open-work gravel bed

Analysis of the flow dynamics within the near-bed and sub-surface regions of river bed sediment is critical in understanding fluid exchange and related chemical transfer/reactions. The knowledge in above is limited as these regions are difficult to measure using traditional instrumentation methods. In this paper, we tried the use of Magnetic Resonance Imaging (MRI) technique to non-invasively image flow dynamics of simulated river bed. We developed a bespoke MRI-compatible open-channel flume in order to acquire real-time flow images from within the MRI bore and used contrast agent (Gd-DTPA) as a tracer through an immobile, porous gravel bed. Single MR Image slices along the flume length were obtained for analysis. The flow tracer images from within the sediment bed are calibrated from the output data in order to provide fully quantitative maps of tracer concentration at regular time intervals. These ‘whitebox’ (i.e. data from within the porous bed) tracer profiles were evaluated with the CXTFIT computer package to estimate the transport parameters. The intention was both, to illustrate the appropriateness of MRI for flow-sediment research and to analyse the relationship between tracer dispersion and gravel framework structure.
Critical evaluation of normotensive rats as models for hypercholesterolaemia-induced atherosclerosis

In view of recent findings describing atherosclerosis as an inflammatory disease, the objective of the present study was to re-evaluate critically the potential of normotensive Wistar rats to represent a model for diet-induced hypercholesterolaemia and the hypercholesterolaemia induced atherosclerosis. Fourty five-week-old male rats were randomly allocated into two groups (n=20) and fed two different diets for 12 weeks: I control AIN-93G diet and II hypercholesterolaemic (high-cholesterol, high-cholate) AIN-93G diet, containing cholesterol (1 g/100 g) and cholate (0.5 g/100 g). Serum lipid profile, plasma inflammatory markers and endothelial functions were examined after 0, 4, 8 and 12 weeks. In addition, the atherosclerotic lesions formation in the aorta was evaluated after 12 weeks. In contrast to the control animals, the rats fed the hypercholesterolaemic diet had an elevated concentration of total serum cholesterol (2.05 vs 7.97 mmol/L) and LDLcholesterol (0.63 vs 6.80 mmol/L). At the same time, the hypercholesterolaemic diet only slightly decreased serum HDL-cholesterol and had no effect on triglicerides. The hypercholesterolaemic diet, compared with the control diet, increased mildly plasma proinflammatory interleukin-6 concentrations (2.68 vs 4.85 pg/ml) whereas plasma C-reactive protein concentrations were below the detection limit (<0.01 pg/ml). The relaxation concentration curves to acetylcholine (to test endothelium-dependent relaxation) were not impaired in rats fed the hypercholesterolaemic diet. Also, the hypercholesterolaemic diet did not induce atherosclerotic lesion formation in the aortas of rats. In conclusion, diet-induced hypercholesterolaemia in normotensive rats induces only mild inflammatory process of the endothelium but it does not affect endothelial functions. 340 NORMOTENSIVE RATS AS MODELS FOR ATHEROSCLEROSIS 341 PISULEWSKI P.M. ET AL. Consequently, diet-induced hypercholesterolaemia does not lead to progression of atherosclerosis in rats thus invalidating the use of these animals as models for studies on hypercholesterolaemiainduced atherosclerosis.
Modern random measures : Palm theory and related models

This paper aims at developing the theory of Palm measures of stationary random measures on locally compact second countable groups. The focus will be on recent developments concerning invariant transport-kernels and related invariance properties of Palm measures, shift-coupling, and mass-stationarity. Stationary partitions and (invariant) matchings will serve as extensive examples. Many recent results will be extended from the Abelian (or R) case to general locally compact groups.
POLYMERIC COMPOSITE RAILWAY SLEEPERS

Railway sleepers are one of the most important elements of the railway track system. Although timber sleepers are still the most common, use of pre-stressed concrete and steel materials is also increasing. In addition, ties produced using recycled materials are of interest, recently. By recycling plastic waste, considerable amount of money can be kept from ending up in the landfills. As composite ties are strong, durable, and reliable, they require less maintenance and have longer life than common railroad ties. Therefore, they can be an excellent, cost-effective and long-term solution. This paper presents a review of recent developments on polymer composites as an alternative material for railway sleepers. An overview of on-going research and development on innovative fiber composite railway sleepers with investigation on their advantages and disadvantages are also presented.
Evaluation of some methods for lower bound determination in the transition region of ferritic steels

Fracture toughness characterization of ferritic steels in the ductile to brittle transition region is problematic due to the observed scatter. This scatter makes not possible to obtain a single toughness value, although some statistical methods presented in the literature allow to manage it and indeed to have a lower bound value. The ability of some of these proposals to give a technological lower bound value from experimental sets of data was studied. Data from literature and our research were used for this purpose. One hundred random combinations of reduced number of elements from each data set were taken, repeating this procedure for different number of elements. The lower bound value dependence on sample size and the minimum number of specimens needed for a technological lower bound value determination were studied. The SPRODZON Method seems to give the best estimation of a technological lower bound LB.
Growth and Nutrient Uptake of Orchardgrass ( Dactylis glomerata L.) and Meadow Fescue ( Festuca pratensis Huds.) as Affected by Rhizobacteria

A diverse group of soil bacteria found in the rhizosphere which can colonize plant roots and improve plant growth are designated as plant growth promoting rhizobacteria. The aim of this study was isolation and screening of different rhizobacterial strains for plant growth promoting characteristics and their ability to improve growth of two grass species, orchardgrass ( Dactylis glomerata L.) and meadow fescue ( Festuca pratensis Huds.). The strains investigated, belonging to the genera Azotobacter , Bacillus , Pseudomonas and rhizobial bacteria, showed various plant growth promoting traits, such as phosphate solubilisation, siderophore production, and indole-3-acetic acid (IAA) production. Co-inoculation of meadow fescue with Azotobacter chroococcum A2 and Sinorhizobium meliloti or Pseudomonas sp. , and A. chroococcum A5 with S. meliloti , significantly increased shoot dry weight (SDW)(25-33%), as well as total N (26-33%), P (24-31%) and K (26-28%) contents in plants (mg pot -1 ), compared to uninoculated control. In addition, inoculation of orchardgrass with A. chroococcum strain A1, as well as co-inoculation with B. megaterium and A. chroococcum A1 or A31, significantly increased SDW (51-59%) and total N (54-59%), P (51-74%) and K (49-55%) contents, compared to uninoculated control. Nitrogen percentage in SDW was slightly higher than sufficiency ranges, while K percentage was optimal in all treatments in both species. Phosphorous percentage was lower than sufficiency ranges as a consequence of very low soil P content. The results emphasize the potential of particular rhizobacteria to improve the growth of forage grasses.
EFFECT OF PHYSICAL EXERCISE ON COMPLEMENT AND IMMUNOGLOBULIN LEVELS IN WRESTLERS AND SEDENTARY CONTROLS Do ~

Complement, immunoglobulins and cortisol levels were investigated in highly endurance-trained wrestlers (n=10) and compared with untrained subjects (n=10) before and up to 2h after a graded exercises to exhaustion on a bicycle ergometer. At rest, cortisol and IgG, IgA, IgM levels were similar in wrestlers and untrained men, while complement C3 and C4 were lower but not statistically significant in wrestlers. Physical exercise caused significant rises in complement, cortisol and immunoglobulin levels in trained and untrained subjects (p<O.05, p<O.01, p<O.05 respectively). Values for complement and immunoglobulins but not the cortisol retumed to pre-exercises values in recovery period. Our data suggest that intensive exercise caused temporarilysignificantincreases blood concentration of C3 and C4, IgG, IgA, IgM and cortisol in both groups. Increases in immunoglobulins and compleman levels associated with partly the change in plasma wolume in trained and untrained subjects.
THE EFFECTS OF SOME ORGANIC AND CHEMICAL FERTILIZER APPLICATIONS ON YIELD, MORPHOLOGY, QUALITY AND MINERAL CONTENT OF COMMON VETCH (Vicia sativa L.)

A field experiment was conducted to evaluate the effects of some organic and chemical fertilizers on morphological, yield and quality properties and mineral contents of common vetch (Vicia sativa L.) between 2007 and 2008 in Gumushane, Turkey. Treatments were control (no fertilizer), liquid manure (LM = 51-52 L ha -1 N ), chemical fertilizer (CF = 30 kg N ha -1 + 80-100 kg P2O5 ha -1 ), three leonardite doses (L1= 2.8; L2= 5.6 and L3= 8.4 kg N ha -1 ), three zeolite doses (Z1= 0.4; Z2= 0.8 and Z3= 1.2 N kg ha -1 ) and three solid cattle manure doses (SM1= 34-35 kg N ha -1 , SM2= 68-70 kg N ha -1 , SM3= 102-105 kg N ha -1 ). Dry hay yield (DHY), leaf weight, stem weight, plant height, leaf number, crude protein content (CP), crude protein yield (CPY), acid detergent fiber (ADF), neutral detergent fiber (NDF), Ca, Fe, K, Mg, B, Cu, Mn, Na, Ni, P, Pb, S and Zn contents were determined. Organic and chemical fertilizer applications had significant effect (P<0.01) on DHY, leaf weight, stem weight, CP, CPY and mineral contents except leaf number, ADF and NDF in the both years. The plant height were significantly (P<0.05) affected by the treatments in the first year. The SM2 application in the first year and control and LM applications in the second year resulted to obtain improved yield components and crude protein yield. Z2 and Z3 applications also loomed large in terms of mineral contents.
Evaluation of Factors Affecting European Plum (Prunus domestica L.) Genetic Transformation

Yuan Song1,4, Fatih Ali Canli2, Farida Meerja3,4, Xinhua Wang3,4, Hugh A. L. Henry3, Lizhe An1 and Lining Tian4 1School of Life Sciences, Lanzhou University, Lanzhou, Gansu 2Department of Horticulture, Faculty of Agriculture, Suleyman Demirel University, Cunur/Isparta 3Department of Biology, University of Western Ontario, 4Southern Crop Protection and Food Research Centre Agriculture and Agri-Food Canada 1China 2Turkey 3,4Canada
Deep Learning for Manipulation with Visual and Haptic Feedback

Recent advances in deep learning for robotics have demonstrated the possibility to learn a mapping from raw visual input to control signals. For contact-rich real-world manipulation tasks however, it is questionable whether purely vision-guided control is sufficient. Aiming at a deep learning framework for deep imitation or reinforcement learning for manipulation from both visual and haptic feedback, we have investigated a peg-in-hole task with sensory feedback from a camera and a module providing both passive compliance and sensor feedback about the end effector displacement. We have trained a neural network that adjusts the end effector position on a horizontal plane while the height of the end effector is steadily decreased by a simple external controller. Preliminary results demonstrate that network performance increases when tactile feedback is available but leave several questions open for discussion and future investigations.
Information, Ideas and Input: The Value of Enterprise Social Networks

Enterprise social networks (ESN) make fast inroads into organisations. They are said to improve communication across silos and the capacity to collaborate and innovate. Yet, despite increasing academic interest, there is limited empirical research on what uses of ESN create value for individual users. To fill this void, we first report on results of a cross-case analysis into ESN communication patterns. We identify five prevalent activities of ESN users, which we use to derive constructs measuring ESN usage. We place these constructs as determinants of perceived value. We test our research model with survey data from active ESN users using partial least squares (PLS). The results show that the primary source of value derives from generating and obtaining ideas and new information as input for one's work. The study contributes to theorising ESN value and the nature of ESN systems.
Identification of artistic styles using a local statistical metric

An algorithm for identifying the artist who created a picture is described. The algorithm relies upon computing the distribution of long and short lines in the image and comparing this distribution. The algorithm is one example of algorithms which can be designed to answer questions about global characteristics. This particular example computes the averages against a precomputed set from model samples. The distribution of line lengths is a statistical characterization which can be used to distinguish between artists. The current implementation is limited to black-and-white binary images. The results of testing the implementation on the daily comics is presented. Some of the related work in both computer science and art history which provides a conceptual background for the algorithm is also discussed. <<ETX>>