Miracle-dz/UniFAR-FTUs huggingface dataset:
Late tectonic and metamorphic evolution of the Piedmont accretionary wedge (Queyras Schistes lustrés, western Alps): Evidences for tilting during Alpine collision

This paper addresses the contribution of extension in the upper crust during syncollisional exhumation of subducted material. We present structural data based on the analysis of ductile, brittle-ductile, and brittle deformation features in metapelitic schists and meta-basalts from the Schistes lustres nappe stack in the Piedmont zone of the western Alps. To link the structures with synkinematic pressure and temperature estimates, geothermobarometry was performed using fluid inclusion investigation in quartz together with temperature estimations based on metamorphic chlorite composition. Samples used for geothermobarometry were collected taking into account the structural framework within veins associated with extensional structures observed at the regional scale. The early generation of veins associated with boudinage occurred at 415–345 °C and 6–2.5 kbar, and subsequent incipient normal faulting occurred at temperatures of 315–235 °C and pressures <1.7 kbar. The transition from ductile to brittle extension occurred between ca. 27 Ma and ca. 10 Ma. These results indicate a continuous extension in the upper crust during exhumation and continuous deformation associated with regional-scale tilting of the exhumed Schistes lustres tectonic pile. The extensional tectonic regime in greenschistfacies conditions remains active today in most of the internal Alpine zones as the Alpine collision continues.
Sunlight, Sea Ice, and the Ice Albedo Feedback in a Changing Arctic Sea Ice Cover

Abstract : The overarching goal of this work is to develop a quantitative understanding of the partitioning of solar radiation of the Arctic sea ice cover and its impact on the heat and mass balance of the ice and upper ocean. Particular emphasis will be placed on the Chukchi and Beaufort Seas, where there have been large changes in ice conditions in recent years. Objectives: 1. Synthesize relevant data from reanalysis products, satellite observations, previous field campaigns, and the ongoing Arctic Observing Network. 2. Calculate the partitioning of spectral solar radiation between reflection to the atmosphere, absorption within the ice, and transmission to the ocean. 3. Determine the relative impact on solar partitioning of changes in i) incident solar radiation, ii) ice concentration, iii) ice age, and iv) onset dates of melt and freezeup. 4. Assess the magnitude of the contribution from ice-albedo feedback to the observed decrease of sea ice in the Chukchi and Beaufort Seas. 5. Relate solar heat input to the ice and ocean to surface, bottom, lateral, and internal melting of the ice cover. 6. Determine spatial distribution and temporal evolution of solar heat absorbed in the upper ocean. 7. Transfer results from this study to the sea ice prediction and modeling community to improve the treatment of solar radiation and the ice-albedo feedback. This transfer will take the form of publications and direct input to parameterization development.
on Neurologic Imaging:

Procedure Appropriateness Category Relative Radiation Level CT neck with IV contrast Usually Appropriate ☢ ☢ ☢ MRI neck without and with IV contrast Usually Appropriate O MRI neck without IV contrast May Be Appropriate O US neck May Be Appropriate O CT neck without IV contrast May Be Appropriate ☢ ☢ ☢ CT neck without and with IV contrast Usually Not Appropriate ☢ ☢ ☢ CTA neck with IV contrast Usually Not Appropriate ☢ ☢ ☢ FDG-PET/CT skull base to mid-thigh Usually Not Appropriate ☢ ☢ ☢ ☢ FDG-PET/MRI skull base to mid-thigh Usually Not Appropriate ☢ ☢ ☢ MRA neck without and with IV contrast Usually Not Appropriate O Arteriography cervicocerebral Usually Not Appropriate ☢ ☢ ☢ MRA neck without IV contrast Usually Not Appropriate O
Direct and semi‐direct radiative effects of absorbing aerosols in Europe: Results from a regional model

The influence of absorbing aerosol on atmospheric conditions in Europe is simulated for a summer and a winter period with a regional model. Depending on the fraction of elemental carbon the effects of radiation are determined. Absorbing aerosol increases the average solar heating rate for the summer case by 2.5 × 10−6–4.4 × 10−6 K s−1(20%–46%) within the boundary layer. Due to the heating by absorbing substances an average decrease of the total cloud cover (summer: 1.0%, winter: 0.7%) is found. This semi‐direct radiative effect causes mainly positive forcing near the surface and at the top‐of‐atmosphere (TOA). Significant negative correlations (summer: −0.7, winter: −0.4) between the aerosol optical depth and the direct radiative forcing (DRF) are determined at the surface. At the TOA the DRF pattern is influenced by the surface albedo and the cloud fraction. A general decrease of 2m temperatures is simulated when using absorbing aerosol compared to an aerosol‐free troposphere (summer: −0.14 K, winter: −0.10 K) over land surface.
Critical Factors for Effective Information Systems Risks Management

The rate of information systems and/or information technology failures even with the existence of risk management models which are to help reduce IT failures necessitated this thesis. To reduce the IT failures, companies need to understand that different critical factors such as involving both risk management staff and non risk management staff underlie effective risk management. This essay presents a coherent theoretical framework of the critical factors for successful risk management, for instance, educating non risk management on risk identification and monitoring and choosing risk management models according to certain qualities, from various scientific articles within IT/IS research. The theoretical framework was put to test by collecting empirical data through structured interviews of various managers with titles such as Chief Information Officer, Chief Technology Officer (CTO), and IT manager and so on responsible for risk management issues in ten (10) purposefully sampled IT projects in Egypt. The findings of this study indicate that critical factors have specific impact on risk management models and effectiveness of risk management in general. Specifically, we found that critical factors such as the essential features of information system: technology, information, people, and system-hardware and software; the qualities of risk models: clarity, practicality of use, completeness and adaptability; effective communication between risk management staff and other staff; and proper coordination of the resources in organizations are important to effective risk management as indicated by the responses of the interviewees. In the same vein, our findings indicate that the extent to which companies‟ apply risk management frameworks depends on the companies‟ identification of their major risks and the difficulty in managing them. Furthermore, the study also found that language and political risks to be critical factors for risk management in Egypt. In sum, this paper found that effective risk management depend on underlying critical factors which governs risk management issues from risk management models‟ selection to models‟ application in practical risk management environments.
Sensitivity Studies of Northern Hemisphere Glaciation Using an Atmospheric General Circulation Model

Abstract The U.K. University Global Atmospheric Modeling Programme GCM is used to investigate whether the growth of Northern Hemisphere ice sheets could have been initiated by changes of orbital parameters and sea surface temperature. Two different orbital configurations, corresponding to the present day and 115 kyr BP are used. The reduced summer solar insulation in the Northern Hemisphere results in a decrease of the surface temperature by 4° to 10°C in the northern continents and to perennial snow in some high-latitude regions. Therefore, the model results support the hypothesis that a deficit of summer insulation can create conditions favorable for initiation of ice sheet growth in the Northern Hemisphere. A decreased sea surface temperature northward of 65°N during the Northern Hemisphere summer may contribute to the maintenance of ice sheets. A simple mixed-layer ocean model coupled to the GCM indicates that the changes of sea surface temperature and extension of sea ice due to insulation changes pl.
ANALISIS PENGARUH BUDAYA ORGANISASI TERHADAP KINERJA KARYAWAN DEPOK SPORTS CENTER

ABSTRAK Penelitian ini bertujuan untuk mengetahui pengaruh budaya organisasi terhadap kinerja karyawan Depok Sports Center. Penelitian ini merupakan penelitian kuantitatif menggunakan metode survey dengan teknik pengambilan data menggunakan angket. Populasi dalam penelitian ini adalah seluruh karyawan Depok Sports Center, pengambilan sampel menggunakan teknik sampling jenuh yaitu seluruh karyawan Depok Sports Center yang berjumlah 18 orang. Teknik analisis data menggunakan uji korelasi. Hasil penelitian ini menunjukkan bahwa budaya organisasi memiliki pengaruh positif dan signifikan terhadap kinerja karyawan. Dengan koefisien determinasi sebesar 0,627, sehingga besarnya pengaruh budaya organisasi terhadap kinerja karyawan sebesar 62,7%, sedangkan sisanya sebesar 37,3% dipengaruhi oleh faktor lain yang tidak diteliti dalam penelitian ini. Seringkali budaya dalam suatu organisasi berkembang dengan kuat, sehingga dalam kondisi demikian, setiap anggota mengetahui dengan baik tujuan organisasi yang akan dicapainya. Kata Kunci: Budaya organisasi dan kinerja karyawan. ANALYSIS ON THE INFLUENCE OF ORGANIZATIONAL CULTURE ON THE EMPLOYEE’S PERFORMANCE IN DEPOK SPORTS CENTER ABSTRACT This study aims in figuring out the influence of organizational culture on employee’s performance inDepok Sports Center. This research was a quantitative research using survey method with the data collection technique was in questionnaire. The population in this study was all employees of Depok Sports Center,the sampling employedsaturated sampling techniques that wereall employees ofDepokSports Center, with the total of 18 people. The data were analyzed by using correlation test. The results of this study indicate that organizational culture has a positive and significant influence on employee’s performance. With a coefficient of determination at 0.627, so the influence of organizational culture on employee’s performance is at 62.7%, while the remaining 37.3% is influenced by other factors but it is not examined in this study. Usually, the culture within an organization developsvery strong, so that in such conditions, each member knows very well that the organization's objectives will be achieved. Keywords : organizational culture and employee’s performance.
Endogenous Disasters

Market economies are intrinsically unstable. The standard search model of equilibrium unemployment, once solved accurately with a globally nonlinear algorithm, gives rise endogenously to rare disasters. Intuitively, in the presence of cumulatively large negative shocks, inertial wages remain relatively high, and reduce profits. The marginal costs of hiring run into downward rigidity, which stems from the trading externality of the matching process, and fail to decline relative to profits. Inertial wages and rigid hiring costs combine to stifle job creation flows, depressing the economy into disasters. The disaster dynamics are robust to extensions to home production, capital accumulation, and recursive utility. (JEL E22, E23, E24, E32, J41, J63, N12)
A mixed methods approach for assessing student and staff perceptions and experiences of a new collaborative transnational pharmacy programme

This doctoral thesis reports on a longitudinal, mixed methods investigation of staff and students’ views, expectations, and experiences of a collaborative pharmacy programme between Cardiff University School of Pharmacy and Pharmaceutical Sciences (CU) and Taylor’s University School of Pharmacy (TU). Despite a growing body of empirical research on transnational staff and students’ expectations and experiences, longitudinal mixed methods studies are rare. This study combined a qualitative interview-based and focus group approach with a quantitative questionnaire-based method. The overall aim is to gain a better understanding of the teaching and learning experiences of staff and students in a transnational education (TNE) programme. The qualitative element explored staff expectations and experiences in the early stage of the collaborative programme while student expectations and experiences were investigated at different points in time throughout their 4-year pharmacy study. The quantitative element investigated and compared the learning environment perceived by participating students in TU and CU. Data collection took place over a period of 36 months and comprised four phases. In Phase 1, staff and students’ initial expectations and experiences of a new collaborative pharmacy programme were explored using staff interviews and student focus groups. In Phase 2, a sample of students from CU and TU were recruited to participate in a questionnaire study to assess students’ perceived learning environment. In Phase 3, a number of studies were carried out using focus groups in order to find out students’ pre-arrival expectations and post-arrival experiences. Phase 4 involved a self-administered questionnaire with graduate students to assess students’ opinions about their overall experiences at the universities. The study revealed staff and students' expectations and their actual experiences in relation to the delivery of a transnational education. It was found that those students who participated were able to cope with sociocultural adjustment in a new learning environment. The study also provided indications of the need for training and professional development for staff to teach in a transnational environment. Finally, Malaysian students who come from a teachercentred pedagogy background should be informed and trained earlier before their transfer to lessen the impact brought about by intercultural differences in teaching and learning.
Modeling geographic impacts on early Eocene ocean temperature

A general circulation model is used to evaluate the impact of geographic differences between the early Eocene and the present day on ocean thermal structure. The model includes reconstructed Eocene bathymetry and surface thermal boundary conditions that mimic a diffusive atmosphere. The model estimates that bathymetric changes alone caused surface waters to cool by 3–4°C in high latitudes and warm by 1–2°C in low latitudes over the last 55 million years, which would account for as much as half (∼4–5°C) of the increase in the meridional sea surface temperature gradient during this time. Other changes include a cooling (∼2°C) of deep ocean waters, a warming of low‐latitude intermediate waters (∼2°C), and decreases in Southern Ocean zonal sea surface temperature gradients.
Why Is ENSO Influencing Northwest India Winter Precipitation in Recent Decades

Abstract This study examines decadal changes of the El Nino–Southern Oscillation (ENSO) influence on the interannual variability of northwest India winter precipitation (NWIWP). The analysis is based on correlations and regressions performed using India Meteorological Department (IMD) records based on station data and reanalysis fields from 1950 to 2008. The authors find that the interannual variability of NWIWP is influenced by the ENSO phenomenon in the recent decades. This conclusion is supported by a consistency across the different observational datasets employed in this study and confirmed by numerical modeling. A physical mechanism for such an influence is proposed, by which western disturbances (WDs) are intensified over northwest India because of a baroclinic response due to Sverdrup balance related to large-scale sinking motion over the western Pacific during the warm phase of ENSO. This response causes an upper-level cyclonic circulation anomaly north of India and a low-level anticyclonic anoma.
Optimization of Manufacturing Conditions for Improving Storage Stability of Coffee-Supplemented Milk Beverage Using Response Surface Methodology

This study aimed at optimizing the manufacturing conditions of a milk beverage supplemented with coffee, and monitoring its physicochemical and sensory properties during storage. Raw milk, skim milk powder, coffee extract, and emulsifiers were used to manufacture the beverage. Two sucrose fatty acid esters, F110 and F160, were identified as suitable emulsifiers. The optimum conditions for the beverage manufacture, which can satisfy two conditions at the same time, determined by response surface methodology (RSM), were 5,000 rpm primary homogenization speed and 0.207% sucrose fatty acid emulsifier addition. The particle size and zeta-potential of the beverage under the optimum condition were 190.1 nm and - 25.94±0.06 mV, respectively. In comparison study between F110 added group (GF110) and F160 added group (GF160) during storage, all samples maintained its pH around 6.6 to 6.7, and there was no significant difference (p<0.05). In addition, GF110 showed significantly higher zeta-potential than GF160 (p<0.05). The particle size of GF110 and GF160 were approximately 190.1 and 223.1 nm, respectively at initial. However, size distribution of the GF160 tended to increase during storage. Moreover, increase of the particle size in GF160 was observed in microphotographs of it during storage. The L* values gradually decreased within all groups, whereas the a* and b* values did not show significant variations (p<0.05). Compared with GF160, bitterness, floating cream, and rancid flavor were more pronounced in the GF110. Based on the result obtained from the present study, it appears that the sucrose fatty acid ester F110 is more suitable emulsifier when it comes to manufacturing this beverage than the F160, and also contributes to extending product shelf-life.
The Conference on Empirical Methods in Natural Language Processing Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing

Dependency parses are an effective way to inject linguistic knowledge into many downstream tasks, and many practitioners wish to efficiently parse sentences at scale. Recent advances in GPU hardware have enabled neural networks to achieve significant gains over the previous best models, these models still fail to leverage GPUs’ capability for massive parallelism due to their requirement of sequential processing of the sentence. In response, we propose Dilated Iterated Graph Convolutional Neural Networks (DIG-CNNs) for graphbased dependency parsing, a graph convolutional architecture that allows for efficient end-to-end GPU parsing. In experiments on the English Penn TreeBank benchmark, we show that DIG-CNNs perform on par with some of the best neural network parsers.
Integration of Outcrop and Modern Analogs in Reservoir Modeling

Building robust 3-D reservoir models is a major challenge that requires incorporation of geologically defined input parameters. This publication provides an overview of current approaches used in the development of geologically constrained and integrated reservoir models. Each of the 18 papers addresses various stages in the process of creating a reservoir model through the development and incorporation of an analog, extracting the quantitative input parameters on lateral and vertical variability, and the development and modification of a 3-D reservoir model based upon geologically constrained data. This applied volume is divided into two sections. The first is a set of papers illustrating the value and methodology of acquiring geometrical data on the lateral and vertical distribution of reservoir facies, within a sequence stratigraphic framework, using both outcrop analogs and detailed study of modern depositional systems. The second section includes both case studies where outcrop and modern analog data have been incorporated into subsurface reservoir models, as well as papers that illustrate recent advances in simulation and geostatistical methodologies. Together, the two sections provide a comprehensive look at integrated reservoir modeling.
Mixing effects on nitrogen and oxygen concentrations and the relationship to mean residence time in a hyporheic zone of a riffle‐pool sequence

Flow paths and residence times in the hyporheic zone are known to influence biogeochemical processes such as nitrification and denitrification. The exchange across the sediment‐water interface may involve mixing of surface water and groundwater through complex hyporheic flow paths that contribute to highly variable biogeochemically active zones. Despite the recognition of these patterns in the literature, conceptualization and analysis of flow paths and nitrogen transformations beneath riffle‐pool sequences often neglect to consider bed form driven exchange along the entire reach. In this study, the spatial and temporal distribution of dissolved oxygen (DO), nitrate ( NO3− ) and ammonium ( NH4+ ) were monitored in the hyporheic zone beneath a riffle‐pool sequence on a losing section of the Truckee River, NV. Spatially varying hyporheic exchange and the occurrence of multi‐scale hyporheic mixing cells are shown to influence concentrations of DO and NO3− and the mean residence time (MRT) of riffle and pool areas. Distinct patterns observed in piezometers are shown to be influenced by the first large flow event following a steady 8 month period of low flow conditions. Increases in surface water discharge resulted in reversed hydraulic gradients and production of nitrate through nitrification at small vertical spatial scales (0.10–0.25 m) beneath the sediment‐water interface. In areas with high downward flow rates and low MRT, denitrification may be limited. The use of a longitudinal two‐dimensional flow model helped identify important mechanisms such as multi‐scale hyporheic mixing cells and spatially varying MRT, an important driver for nitrogen transformation in the riverbed. Our observations of DO and NO3− concentrations and model simulations highlight the role of multi‐scale hyporheic mixing cells on MRT and nitrogen transformations in the hyporheic zone of riffle‐pool sequences.
Small‐footprint, waveform‐resolving lidar estimation of submerged and sub‐canopy topography in coastal environments

The experimental advanced airborne research lidar (EAARL) is an airborne lidar instrument designed to map near‐shore submerged topography and adjacent land elevations simultaneously. This study evaluated data acquired by the EAARL system in February 2003 and March 2004 along the margins of Tampa Bay, Florida, USA, to map bare‐earth elevations under a variety of vegetation types and submerged topography in shallow, turbid water conditions. A spatial filtering algorithm, known as the iterative random consensus filter (IRCF), was used to extract ground elevations from a point cloud of processed last‐surface EAARL returns. Filtered data were compared with acoustic and field measurements acquired in shallow submerged (0–2.5 m water depth) and sub‐canopy environments. Root mean square elevation errors (RMSEs) ranged from 10–14 cm for submerged topography to 16–20 cm for sub‐canopy topography under a variety of vegetation communities. The effect of lidar sampling angles and global positioning system (GPS) satellite configuration on accuracy was investigated. Results show high RMSEs for data acquired during periods of poor satellite configuration and at large sampling angles along the edges of the lidar scan. The results presented in this study confirm the cross‐environment capability of a green‐wavelength, waveform‐resolving lidar system, making it an ideal tool for mapping coastal environments.