Miracle-dz/UniFAR-FTUs huggingface dataset:
Estimation of Wavenet Optimistic Values by using Genetic algorithm to Recognize Colored images

The purpose of this work is to use Wave net and genetic algorithms for the prediction of the presented an original initialization procedure for the parameters of feed-forward wavelet networks, prior to training by gradient-based techniques. Genetic algorithm global optimization techniques can be providing near optimal value for learning rate, translation, dilation, and hidden nodes. Then the net work can be learning in short learning time (reduce %50 from number of iteration) with desired accuracy is more than the desired accuracy without using genetic algorithm. Then it uses the genetic algorithm method to determine a set of best wave net whose translation and dilation parameters with optimal value of learning rate. The hidden nodes are used as initial values for subsequence training. The results show high accuracy in classification and recognize of color medical images convert as gray level of applying of (WN).
Shape model and spin-state analysis of PHA contact binary (85990) 1999 JV6 from combined radar and optical observations

Context. The potentially hazardous asteroid (85990) 1999 JV6 has been a target of previously published thermal-infrared observations and optical photometry. It has been identified as a promising candidate for possible Yarkovsky-O’Keefe-Radzievskii-Paddack (YORP) effect detection. Aims. The YORP effect is a small thermal-radiation torque considered to be a key factor in spin-state evolution of small Solar System bodies. In order to detect YORP on 1999 JV6 we developed a detailed shape model and analysed the spin-state using both optical and radar observations. Methods. For 1999 JV6, we collected optical photometry between 2007 and 2016. Additionally, we obtained radar echo-power spectra and imaging observations with Arecibo and Goldstone planetary radar facilities in 2015, 2016, and 2017. We combined our data with published optical photometry to develop a robust physical model. Results. We determine that the rotation pole resides at negative latitudes in an area with a 5° radius close to the south ecliptic pole. The refined sidereal rotation period is 6.536787 ± 0.000007 h. The radar images are best reproduced with a bilobed shape model. Both lobes of 1999 JV6 can be represented as oblate ellipsoids with a smaller, more spherical component resting at the end of a larger, more elongated component. While contact binaries appear to be abundant in the near-Earth population, there are only a few published shape models for asteroids in this particular configuration. By combining the radar-derived shape model with optical light curves we determine a constant-period solution that fits all available data well. Using light-curve data alone we determine an upper limit for YORP of 8.5 × 10−8 rad day−2. Conclusions. The bifurcated shape of 1999 JV6 might be a result of two ellipsoidal components gently merging with each other, or a deformation of a rubble pile with a weak-tensile-strength core due to spin-up. The physical model of 1999 JV6 presented here will enable future studies of contact binary asteroid formation and evolution.
THE INVESTIGATION OF OPPORTUNITIES OF BIG DATA ANALYTICS AS ANALYTICS-AS-A-SERVICE IN CLOUD COMPUTING FOR OIL AND GAS

The increase in volume of data collected in oil and gas industry has engendered the emergence of serious problems in this sector. The problems caused by large-volume data in oil-gas industry and the current state of application of big data analytics in this sector are analyzed in the article. The big data analytics platforms developed for oil and gas industry by large organizations and the practice of large world oil and gas companies in big data analytics are studied. The analysis of large-volume data for big data analytics and the purposes of usage of cloud computing platform are explored. The suggestions and recommendations are presented for the realization of big data analytics as Analytics-as-a-Service.
Fluid Inclusion and H–O–S–Pb Isotope Geochemistry of the Yuka Orogenic Gold Deposit, Northern Qaidam, China

The Yuka gold deposit, located in the western part of northern Qaidam, contains Au orebodies hosted in early Paleozoic metamorphic basic volcaniclastic rocks. The Yuka mineralization can be divided into three stages: early quartz-pyrite (stage-I), middle quartz-gold-polymetallic sulfide (stage-II), and late quartz-carbonate (stage-III). Gold deposition is primarily contained within stage-II. Three types of fluid inclusions were identified in the vein mineral assemblages using petrography and laser Raman spectroscopy: H2O-CO2-NaCl (C-type), H2O-NaCl (W-type), and pure CO2 (PC-type). Stage-I fluids record medium temperatures (205.2°C to 285.5°C) and H2O-CO2-NaCl±CH4 fluids with variable salinities (0.6–8.5 wt.% NaCl equiv.). Stage-II fluids evolved towards a more H2O-rich composition within a H2O-CO2-NaCl±CH4 hydrothermal system at medium temperatures (193.1°C to 271.1°C), with variable salinities (0.4–11.7 wt.% NaCl equiv.). Stage-III fluids are almost pure H2O and characterized by low temperatures (188.1°C to 248.5°C) and salinities (0.4–16.1 wt.% NaCl equiv.). These data indicate that ore-forming fluids are characterized by low to medium homogenization temperatures and low salinity and are evolved from a CO2-rich metamorphogenic fluid to a CO2-poor fluid due to inputs of meteoric waters, which is similar to orogenic-type gold deposits. The average δ18OW of quartz varies from 3.3‰ in stage-I to 2.1‰ in stage-II and to 1.4‰ in stage-III, with the δD values ranging from −41.6‰ to −58.5‰, suggesting that ore-forming fluids formed from metamorphic fluids mixed with meteoric waters. Auriferous pyrite δ34S ranges from 0.5 to 7.4‰ with a mean value of 4.43‰, suggesting that fluids were partially derived from Paleozoic rocks via fluid-wall rock interactions. Auriferous pyrites have 206Pb/204Pb of 18.238–18.600 (average of 18.313), 207Pb/204Pb of 15.590–15.618 (average of 15.604), and 208Pb/204Pb of 38.039–38.775 (average of 38.1697) and stem from the upper crust. Basing on geological characteristics of the ore deposit as well as new data from the ore-forming fluids, and H-O-S-Pb isotopes, the Yuka gold deposit is best described as an orogenic-type gold deposit.
Examining generational preferences for sustainability attributes of wine: a discrete choice experiment in California

Millennials are the largest demographic segment in the USA (Wine Market Council, 2016) and have gained market share of high frequency wine drinkers while Baby Boomers and Gen-X generations are falling in market share (Franson, 2016). This demographic evolution in wine market composition has focused industry attention on expanding understanding of Millennial wine drinkers preferences as an important marketing dynamic. At the same time the wine industry has seen significant establishment of sustainable certification systems as preferences for sustainability have developed and been recognised as an avenue for product diversification in a highly competitive global market. While there is a recognition that preferences for the types of attributes sustainability programmes can deliver may differ between generations, scant research has explored this segmentation. This paper reports on the application of a discrete choice experiment with the objective of comparing generational preferences for individual components of sustainability schemes active in the Californian Sauvignon blanc market. We find consumption behaviour and attribute preference differences over age cohorts. A central finding is that Millennial consumers are willing to pay more for sustainability attributes than both Gen-X and Baby Boomers, while conversely Baby Boomers are willing to pay more for country of origin attributes than both Gen-X or Millennials.
Intra- and inter-rater reliability of lower leg waterplethysmography, bioelectrical impedance and muscle twitch force for the use in standing work evaluation

Objectives. Prolonged standing is associated with multiple risk factors for musculoskeletal and venous disorders. In Germany over 50% of the working population spend most of their working time in a standing position. Basic understanding of prolonged standing physiology is lacking. We therefore plan to investigate the influence of 5 h standing (including breaks) on lower limb oedema measured by waterplethysmography (WP) and bioelectrical impedance (BI) and fatigue in the triceps surae muscle using muscle twitch force (MTF). In order to interpret our results, test-retest and inter-rater reliability of these measurement methods was evaluated first. Approach. 20 subjects (9 female) were included to test each method three times (M1, M2, M3) in 30 min periods with two raters (R1, R2) on separate days. Intraclass correlation coefficient (ICC; 2,1), standard error of measurement (SEM) and smallest real difference (SRD) were calculated for both raters. Main results. The SEM and SRD calculated for WP were 27 and 75 ml, respectively, for R1 and 23 and 64 ml, respectively, for R2 with an ICC of 0.98 (p < 0.0001). Statistically significant mean differences between M1 and M2 (R1 = 23 ml, p = 0.004; R2 = 19 ml, p = 0.027) but not significant mean differences between M2 and M3 (R1 = −6 ml, p = 0.45; R2 = 4 ml, p = 0.27) were calculated for both raters. BI data revealed SEM and SRD values of 3.8 and 10.5 Ω, respectively, for R1 and 3.4 and 9.4 Ω, respectively, for R2 with an ICC of 0.24 (p = 0.001). The differences between M1 and M2 (R1 = 3.9 Ω, p = 0.0001; R2 = 2.4 Ω, p = 0.049) and between M2 and M3 (R1 = 2.3 Ω, p = 0.012; R2 = 2.0 Ω, p = 0.008) were found to be statistically significant for both raters. SEM and SRD for MTF were 0.19 and 0.53 N, respectively, for R Wall et al Printed in the UK 701 PMEAE3 © 2017 Institute of Physics and Engineering in Medicine 38 Physiol. Meas.
NATURAL ANTIBIOTIC RESISTANCE GENES IN SOIL BACTERIA AND INFLUENCE OF ORGANIC FERTILISERS ON THEIR PREVALENCE AND HORIZONTAL TRANSFER

All natural antibiotics available to modern medicine are products of soil-dwelling bacteria and fungi. In addition, all resistance genes which are being detected in human pathogens existed in soil bacteria even before antibiotics were discovered and brought into use. However, the concentrations of natural antibiotics in soil are usually subinhibitory – insuffi cient for the selection of resistant subpopulations of microorganisms. Th e consumption of organic fertilisers for agricultural soil amendment increases proportionally to the consumers’ growing demand for organically produced food. Manure originating from industrial pig, cattle and poultry farms is not only the source of nutrients which stimulate the vital functions of soil microorganisms, but also of antibiotics and bacteria harbouring various resistance mechanisms. Th e application of organic fertilizer leads to disruption of the natural balance between bacterial communities in the soil through several mechanisms, and infl uences the increase in the prevalence of resistance genes and promotes their horizontal transfer. Whether as-yet-unknown resistance genes in soil bacteria may pose threat to human health if transferred from commensal bacteria in the environment to pathogen species, or migrate to clinical settings via food chain or in some other possible route remains an open question.
Genome Analysis Workshop: a Personal Genomics Class at Keio SFC

Jtitle Keio SFC journal Vol.14, No.1 (2014. ) ,p.158177 Abstract Because of the development of sequencing technologies, the era of personal genomics is rapidly approaching, and several Direct-toConsumer genetic testing services are already available. However, sociopolitical guidelines for personal genomics have lagged behind technological advances. Here, we report our innovative literacy education class on personal genomics in Keio University Shonan Fujisawa Campus, using an actual personal genome as the course material. Notes 特集 SFCが拓く知の方法論#研究論文 Genre Journal Article URL http://koara.lib. keio.ac. jp/xoonips/modules/xoonips/detail.php? koar a_id=0402-1401-0008
Learning Grasping Possibilities for Artifacts

English. In this paper we want to test how grasping possibilities for concrete objects can be automatically classified. To discriminate between objects that can be manipulated with one hand and the ones that require two hands, we combine conceptual knowledge about the situational properties of the objects, which can be modeled with distributional semantic approaches, and physical properties of the objects (i.e. their dimensions and their weights), which can be found in the web through crawling. Italiano. In questo articolo vogliamo testare come le possibilit di manipolazione degli oggetti concreti possano essere classificate automaticamente. Per distinguere tra oggetti che possono essere manipolati con una mano e oggetti che richiedono due mani, combiniamo conoscenza concettuale sulle proprietà situazionali dell’oggetto rappresentandola secondo il paradigma della semantica disribuzionale con le proprietà fisiche degli oggetti (le loro dimensioni e il loro peso) estratte dal web mediante
Cascaded and Dual: Discrimination Oriented Network for Brain Tumor Classification

Medical image classification is one of the fundamental research topics in the domain of computer-aided diagnosis. Although existing classification models of the natural image can produce promising results using deep convolutional neural networks in some cases, it is difficult to guarantee that these models can generate promising performance for medical images. To bridge such a gap, we propose a novel medical image classification method for brain tumors in this paper, termed as Discrimination Oriented Network (DONet). Inspired by the attention learning mechanism of the human brain, we first propose two categories of attention learning modules, i.e., the Cascaded Attention Learning (CAL) and the Dual Attention Learning (DAL), which can learn the discrimination information in both the spatial-wise and the channel-wise dimensions in a fine-grained manner. By the CAL and the DAL, the attention information of different dimensions is calculated in a series manner (for cascaded) and a parallel manner (for dual), respectively. To demonstrate the superiority of our proposed modules, we implement the CAL and the DAL on the Deep Residual Network (ResNet) for brain tumor classification. Compared with the ResNet, experimental results show that the DONet has a significant improvement in accuracy. Moreover, compared with state-of-the-art classification methods, the DONet can also achieve better performance.
Landslide detection and characterization using terrestrial 3D laser scanning (LiDAR)

Landslides are one of the most common hazards in open pit mines. The occurrence of a landslide affects both the safety and economy of the pits. By understanding the movement mechanism of the slopes, preventative safety studies can be undertaken. The determination of the orientation of a landslide is the most important step to understand the movement mechanism in open pit mines. The dip and the dip direction of a slope give significant information about the orientation of a landslide, traditionally measured by compass. This study presents an approach to determine the landslide movement orientation and slope deformation rate by using a 3D terrestrial laser scanner. A landslide on the north-east of the Simav open pit where is located at the west region of Turkey, known as the Kucuk Hill landslide, was examined as a case study. The orientation of the slopes was found and contour graphs were drawn. Then, stereographic projection results showed the orientation of the landslide. On the other hand, a monitoring scenario was revealed and the deformations on the pit benches were determined. ARTICLE INFO
A Green Analysis of the Content Centric Networking Architecture

Content-Centric Networking (CCN) is a recently proposed networking architecture that can potentially lead to reduced bandwidth usage and better scalability and security as compared to the current IP-based architecture. In this thesis, we conduct a green analysis of content-centric networking and IP-based networking for a video streaming scenario. We consider two types of energy consumption: the energy required to manufacture the network devices and the energy required for operation. We perform simulations of content centric networking over three different network topologies (i.e., general tree, Content Distribution Network (CDN) tree and partial mesh) to assess the traffic rate reductions achieved by CCN’s insertion of caches at routers. We generated two different types of traffic demands (Zipf and Uniformly distributed) to perform our analysis. Although CCN network devices have a higher intrinsic energy consumption compared to the IP-based devices because of the presence of additional memory, by exploiting their caching capabilities it is possible to reduce the overall energy consumption of the network. Content caching at the routers present on lower levels of the network (near clients) results in reducing traffic on the links which are close to the server (content source). We exploit this feature of CCN-based network by using rate adaptation to achieve energy benefits. We consider both the incorporation of an on-line rate adaptation mechanism as well as a static network provisioning approach and observe that these approaches can lead to a substantial reduction in energy consumption for CCN. On the other hand, an IP-based network cannot benefit from rate adaptation due to the absence of the cache capable routers.
An exploratory study of physiotherapists' views of early rehabilitation in critically ill patients

BACKGROUND: Early rehabilitation has been identified as key to improving physical function and aiding in long-term recovery in critically ill patients. Surveys of physiotherapy practice have highlighted variations and issues with the provision of rehabilitation services in this patient population. However, there have been no qualitative studies exploring physiotherapist’s views of implementing early rehabilitation in critically ill patients. AIM: To explore physiotherapist’s understanding and experiences of early rehabilitation in critically ill patients. METHODS: A qualitative exploratory design using semi-structured interviews with six physiotherapists from one NHS hospital trust. RESULTS: Thematic content analysis identified how participants conceptualised early rehabilitation in two broad themes of adherence and collaborative working. CONCLUSIONS: Physiotherapists identified that adherence is an issue in clinical practice and collaborative working is integral to patient care. Awareness of the barriers to adherence and collaborative working and strategies that can be used to overcome them is central to improving rehabilitation in critically ill patients.
Annotated Bibliography, and Summaries I. Annotating Text II. Annotating Media III. Annotation Theory and Practice IV. Group Dynamics and Social Annotation V. Bibliographic Reference/Metadata/Tagging

Category I: Annotating Text This category provides an environmental scan of the current state of text-based annotation practices and the foundational tools in the discipline. Many of the publications focus on situating annotation in the field of digital humanities by drafting definitions for annotation practice; specifying a general annotation framework for commentary across mediums; or brainstorming platforms that would better support user interaction with objects and with each other. Authors remark that the evolution of scholarship brought about by interactive Web 2.0 practices shifted the focus from learner-content interaction to learner-learner interaction, and that this behavioural shift necessitates a redesign of tools (Agosti et al. 2005; Gao 2013). It is widely acknowledged that annotation practices are beneficial for learning, archiving, clarifying, sharing, and expanding; current Web architecture, however, struggles to facilitate these advantages (Agosti et al. 2012; Bottoni 2003; Farzan et al. 2008). Several publications introduce tools that bridge the gap between tool design and user needs, specifically AnnotatEd and CommentPress (Farzan et al. 2008; Fitzpatrick 2007). These tools, along with alternative platforms that gamify annotation, allow for interactive reading and support user engagement with resources in a customizable way. The tools treat documents as mutable objects that can be tagged, highlighted, and underlined. Many of the tools in this category, such as Annotary and Annotea, facilitate bookmarking and the organization of documents thereby making searching and browsing through the data easier and more efficient. All of these tools included are free to use, with the majority being online and open access. Notably, this allows users to share their own data and have access to each other's annotations, which promotes collaboration.
Climate-Change Vulnerability in Rural Zambia

This paper examines the impacts of the El Nino during the 2015/2016 season on maize productivity and income in rural Zambia. The analysis aims at identifying whether and how sustainable land management (SLM) practices and livelihood diversification strategies have contributed to moderate the impacts of such a weather shock. The analysis was conducted using a specifically designed survey called the El Nino Impact Assessment Survey (ENIAS), which is combined with the 2015 wave of the Rural Agricultural Livelihoods Surveys (RALS), as well as high resolution rainfall data from the Africa Rainfall Climatology version 2 (ARC2). This unique, integrated data set provides an opportunity to understand the impacts of shocks like El Nino that are expected to get more frequent and severe in Zambia, as well as understand the agricultural practices and livelihood strategies that can buffer household production and welfare from the impacts of such shocks to drive policy recommendations. Results show that households affected by the drought experienced a decrease in maize yield by around 20 percent, as well as a reduction in income up to 37 percent, all else equal. Practices that moderated the impact of the drought included livestock diversification, income diversification, and the adoption of agro-forestry. Interestingly, the use of minimum soil disturbance was not effective in moderating the yield and income effects of the drought. Policies to support livestock sector development, agroforestry adoption, and off-farm diversification should be prioritized as effective drought resiliency strategies in Zambia.
Finite-dimensional approximation of Gaussian processes with inequality constraints

Due to their flexibility, Gaussian processes (GPs) have been widely used in nonparametric function estimation. A prior information about the underlying function is often available. For instance, the physical system (computer model output) may be known to satisfy inequality constraints with respect to some or all inputs. We develop a finite-dimensional approximation of GPs capable of incorporating inequality constraints and noisy observations for computer model emulators. It is based on a linear combination between Gaussian random coefficients and deterministic basis functions. By this methodology , the inequality constraints are respected in the entire domain. The mean and the maximum of the posterior distribution are well defined. A simulation study to show the efficiency and the performance of the proposed model in term of predictive accuracy and uncertainty quantification is included.