Miracle-dz/UniFAR-FTUs huggingface dataset:
Rootless cones on Mars indicating the presence of shallow equatorial ground ice in recent times

High resolution Mars Orbiter Camera (MOC) images have revealed the existence of clusters of small cones in the Cerberus plains, Marte Valles, and Amazonis Planitia, Mars. These cones are similar in both morphology and planar dimensions to the larger of Icelandic rootless cones, which form due to explosive interactions between surficial lavas and near‐surface groundwater. Impact crater size‐frequency relationships indicate that surfaces upon which the cones sit are no older than 10 Ma. If martian cones form in the same manner as terrestrial rootless cones, then equatorial ground ice or ground water must have been present near the surface in geologically recent times.
THE IMPACT OF IFRS ADOPTION ON EARNINGS MANAGEMENT IN BANKING COMPANIES IN INDONESIA STOCK EXCHANGE

The issue of the IFRSadoption as a standard that can lead to a reduction of earnings management. The research aimed to give empirical evidence concerning the impact of the IFRS adoption on earnings management, and the test of the difference level of earnings management between before and after the IFRS adoption. The research scope focused on the implementation of IFRS adoption particularly in PSAK No. 50 and PSAK No. 55 (revised 2006) concerningfinancial instruments. The research objects were the banking companies listed in Indonesia Stock Exchange for 4 years (2008-2011), i.e. as many as 23 banks. Samples were taken by using the purposive sampling technique. The main variables in this research are IFRS and earnings management,and includes several control variable, among others are, size, financial leverage, market to book value and institutional investors. The data were analyzed usingmultiple regression analysis and different t-test analysis. The research result indicates that the IFRS adoption has not effect the decreaseon the earnings management.Among the four control variables, the variable institutional investor is found not to have theeffect on earnings management, whereas the other three variables haveeffect.The result of the different t-test analysis also indicates that statistically there is not significant difference on the level of the earnings management between before and after IFRS adoption. Thus, based on this study concluded that the adoption of IFRS still allow for the occurrence of earnings management.
Reconstruction of three-dimensional ozone fields using POAM III during SOLVE

[1] In this paper we demonstrate the utility of the Polar Ozone and Aerosol Measurement (POAM) III data for providing semiglobal three-dimensional ozone fields during the Stratospheric Aerosol and Gas Experiment (SAGE) III Ozone Loss and Validation Experiment (SOLVE) winter. As a solar occultation instrument, POAM III measurements were limited to latitudes of 63°N to 68°N during the SOLVE campaign but covered a wide range of potential vorticity. Using established mapping techniques, we have used the relation between potential vorticity and ozone measured by POAM III to calculate three-dimensional ozone mixing ratio fields throughout the Northern Hemisphere on a daily basis during the 1999/2000 winter. To validate the results, we have extensively compared profiles obtained from ozonesondes and the Halogen Occultation Experiment to the proxy O3 interpolated horizontally and vertically to the correlative measurement locations. On average, the proxy O3 agrees with the correlative observations to better than ∼5%, at potential temperatures below about 900 K and latitudes above about 30°N, demonstrating the reliability of the reconstructed O3 fields in these regions. We discuss the application of the POAM proxy ozone profiles for calculating photolysis rates along the ER-2 and DC-8 flight tracks during the SOLVE campaign, and we present a qualitative picture of the evolution of polar stratospheric ozone throughout the winter.
A SURVEY ON THE FACTORS AFFECTING CURRENT ACCOUNT BALANCE OF TURKEY: EVIDENCE FROM ARDL-BOUNDS TESTING APPROACH

Main objective of this study is to analyze the relationships between the current account balance and selected major macroeconomic variables in Turkish economy. In this respect ARDL-Bounds testing approach is applied. Results of the study related to the long-run show that the international terms of trade is a strong explanatory variable of the current account balance of Turkey. This result implies that Harberger-Laursen-Metzler (HLM) hypothesis is valid for Turkey. Findings reveal that also foreign trade balance has a strong effect on the current account balance of Turkey while the gross domestic product is found to be statistically significant but the effect level is quite low. Domestic interest rate and the real effective exchange rate variables are found to be statistically insignificant in the long-run. Error correction model results for the short-run reveal that current account balance of Turkey is mostly affected from the lagged value of itself, from foreign trade balance and also from the lagged value of real effective exchange rate.
WAVE CLIMATE OF THE BLACK SEA’S COASTAL WATERS DURING THE LAST THREE DECADES

This study is focused on the alterations and typical features of the wind wave climate of the Black Sea’s coastal waters since 1979 till nowadays. Wind wave parameters were calculated by means of the 3rd-generation numerical spectral wind wave model SWAN, which is widely used on various spatial scales – both coastal waters and open seas. Data on wind speed and direction from the NCEP CFSR reanalysis were used as forcing. The computations were performed on an unstructured computational grid with cell size depending on the distance from the shoreline. Modeling results were applied to evaluate the main characteristics of the wind wave in various coastal areas of the sea.
Cloud Computing Adoption at Higher Education Institutions in Developing Countries: A Qualitative Investigation of Main Enablers and Barriers

The extensive use of cloud computing is changing the way of dealing with information and communication technology. Cloud computing has created a new concept to deal with software services and hardware infrastructure. Some benefits are immediate; for instance, to allow students to share their information easily and to discover new experiences of the education system. However, despite the comprehensive literature, there is still limited studies related to the applied factors that influence the adoption of cloud technology at higher education institutions. Such limitations in the literature arise clearly in developing countries. This paper attempts to enhance the understanding of related factors affecting the adoption of cloud computing in the educational context of developing nations. A fieldwork study for collecting data has been conducted at higher education institutions in the kingdom of Jordan. This study applied an interpretive paradigm with a qualitative research method to investigate the main enablers of and barriers to cloud computing adoption at the universities in developing countries in general and in the case of Jordan in particular.
Utilization of Carbon in NPZ Model of Hooghly Estuarine System, India

Hooghly estuary along with the luxurious mangroves of the Sundarbans is one of the important estuaries of India. A quite rich mangrove patch in association with the creeks is visible at Sagar Island, the largest island in the row. Degradation and leaching of litter provides nutrient for the growth and development of phytoplankton which in turn strengthens the grazing food chain from zooplankton to fish. Phytoplankton growth is influenced by solar radiation, nutrient and temperature. The model incorporates light acclimation by algae, self-shading, photosynthetic production and nutrient uptake. Water quality changes with seasons. The model uses the functional relations among the three state variables as observed in response to the changeable environment throughout the year there. The model is calibrated and validated taking carbon as the currency of the model. Dissolved inorganic carbon as nutrient, water temperature, surface solar irradiance, and salinity of upstream and downstream of the estuary are collected from the field. Model results indicate that the growth of zooplankton and phytoplankton are enhanced by increasing nutrient input in the system. The predicted temporal distribution and trends of plankton biomass, inorganic carbon is in general agreement with field observations. Sensitivity analysis has been done. The model captures the dynamics of plankton population, which serve as major food source for fish species of the estuary. This model could be predictive in search for the role of mangrove in estuary and its control on nutrient and plankton dynamics of this region which will be helpful in management aspect.
Analysis of Channel Capacity Maximization and Optimum Power Control of MIMO Networks

MIMO networks are the most power consuming components because they use multiple RF chains and multiple antennas. Due to the existence of multiple RF chains which in turn contain power amplifiers, LNA’s and different circuit elements, the circuit power consumption increases exponentially which becomes a severe problem in short-range communication scenarios like 802.11based WLAN etc. The main objective of this paper is to present a comprehensive analysis of one of the most promising techniques for power control called as Antenna management. The proposed antenna management scheme satisfies all the requirements of MIMO systems like BER, data rate, SNR. Channel capacity maximization of MIMO networks using Antenna selection techniques is also presented. Antenna selection techniques select the antennas which gives the best Signal to Noise ratio. Results show that 95% of MIMO channel capacity can be achieved without changing the data rate.
O 3-δ as the anode materials for solid oxide fuel cells running on H 2 and H 2 S

−Perovskite-type Ce0.9Sr0. 1Cr0.5Mn0. 5O3-δ (CSCMn) was synthesized and evaluated as anode for solid oxygen fuel cells based on Ce0.8Sm0. 2O1.9 (SDC). The conductivities of CSCMn were evaluated with DC four-probe method in 3% H2-N2 and 5% H2S-N2 at 450-700 C, respectively. The compositions of CSCMn powders were studied by XRD and thermodynamic calculations. Meanwhile, sintering temperatures affecting phases of CSCMn is also proposed with XRD, and the analysis is given with thermodynamic calculations. CSCMn exhibits good chemical compatibility with electrolyte (SDC) in N2. After exposure to 5% H2S-N2 for 5 h at 800 C, CSCMn crystal structures change and some sulfides are detected, as evidenced by XRD and Raman analyses. The electrochemical properties are measured for the cell comprising CSCMnSDC/SDC/Ag in 5% H2S-N2 at 600 C and in 3% H2-N2 at 450 and 500 C. The electrochemical impedance spectrum (EIS) is used to analyze ohm and polarization resistance of the cell at various temperatures.
Studying Four 3D GUI Metaphors in Virtual Environment in Tablet Context. Visual Design and Early Phase User Experience Evaluation

In this paper, we focus on a possibility to have a personal 3D GUI inside a virtual environment on tablet device. We describe the visual design process and user experience evaluation of four 3D GUIs in a virtual environment. A user evaluation was conducted by using a structured pair evaluation procedure, where we adapted a concept walkthrough method with non-functional visually high quality prototypes. We found that participants would like to have their personal 3D GUI in a virtual environment. However, the visual design of the 3D GUI should create a secure and private feeling for them. Also, participants did not want the GUI to occlude too much with the background. The visual indication is needed also when a user transfers items from personal GUI to the virtual environment and for showing the user's active position between the GUI and virtual environment. We point out also other issues for interaction and visual designers.
Numerical Prediction of Heat Transfer Characteristics of Nanofluids in a Minichannel Flow

CFD simulation of the heat transfer and pressure drop characteristics of different nanofluids in a minichannel flow has been explained using FLUENT version 6.3. 26. Different nanofluids with nanoparticles of Al2O3, CuO, SiO2, and TiO2 have been used in the simulation process. A comparison of the experimental and computational results has been made for the heat transfer and pressure drop characteristics for the case of Al2O3-water nanofluid for the laminar flow. Also, computations have been made by considering Brownian motion as well as without considering Brownian motion of the nanoparticles. After verification of the computational model with the experimental results for Al2O3-water nanofluid, the simulations were performed for the same experimental readings for different nanofluids in the laminar flow regime to find out the heat transfer and pressure drop characteristics.
DEM resolution and stream delineation threshold effects on the results of geomorphologic-based rainfall runoff models

Digital elevation model (DEM) resolution and the assigned threshold for river network delineation aect the results of rainfall-runo models. In this study, the eects of these 2 issues on the extracted geomorphologic parameters of watersheds and the performance of a kinematic wave based model, called KW-GIUH, are investigated. The results show that by decreasing the DEM resolution at xed thresholds, parameters such as subbasin mean slope and the number of streams decrease and the area of the ith order subbasins and the mean length of the overland ow increase. Moreover, the results indicate that the reduction of the DEM resolution at a xed threshold causes the peak ow and hydrograph time base to decrease up to the cell size of 100 m and then, after experiencing a jump, again decrease with the increase of the cell size. According to the achieved results, above the threshold of 2%, the dierence between the peak ows of dierent hydrographs at dierent resolutions is meaningful. The KW-GIUH sensitivity to DEM resolutions and thresholds is sharper in peak ow and then in hydrograph time base and time to peak. At a xed threshold, the value of time to peak
Application of glucose modified bicyclophosphite derivative of tri-ruthenium carbonyl cluster as advanced photo acoustic contrast agent

Metal clusters at zero oxidation sate are found to have very good applications in medical and bio-medical field of research including drug designing. Very recently organometallic carbonyl clusters of group 8 elements are tested as very good contrast agent for photoacoustic spectroscopy based live cell imaging. Quantum computation based investigation is initiated by Bag and Ghorai to improve contrast behavior of this class of compounds. In this article I have presented the efficiency of glucose modified bicyclophosphite derivative of tri-ruthenium carbonyl clusters as photoacoustic contrast agent. I have studied the effect of number of substitutions. In my calculation solvent effect is also
Un nouveau ravageur de la tomate en France: Tuta absoluta

Tuta absoluta, microlepidoptere et nouveau ravageur en culture de tomate, a ete identifie dans le sud de la France fin 2008. En Espagne, Algerie, Maroc, Italie et Amerique du Sud, il se revele tres nuisible, avec une forte capacite de reproduction. Description, biologie, plantes hotes et degâts de cette petite chenille verdâtre a rose clair de 7,5 mm sont exposes dans l'article. C'est par une prophylaxie et l'information que sa propagation pourra etre ralentie en France.
A hyper-K\"ahler compactification of the Intermediate Jacobian fibration associated to a cubic fourfold

For a general cubic fourfold, it was observed by Donagi and Markman that the relative intermediate Jacobian fibration associated to the family of its hyperplane sections carries a natural holomorphic symplectic form making the fibration Lagrangian. In this paper, we obtain a smooth projective compactification of the intermediate Jacobian fibration giving a ten-dimensional compact hyper-K\"ahler manifold, which we then show to be deformation equivalent to the exceptional example of O'Grady. This proves a conjecture by Markushevich.
Datacenter-Network-Aware Online Load Balancing in MapReduce

MapReduce has emerged as a powerful tool for distributed and scalable processing of voluminous data. Different from earlier heuristics in the very late reduce stage or after seeing all the data, we address the skew from the beginning of data input, and make no assumption about a priori knowledge of the data distribution nor require synchronized operations. We show that the optimal strategy is a constrained version of online minimum makespan and, in the MapReduce context where pairs with identical keys must be scheduled to the same machine, we propose an online algorithm with a provable 2-competitive ratio. We further suggest a sample-based enhancement, which, probabilistically, achieves a 3/2-competitive ratio with a bounded error. Examine the project again, we found that the datacenter network could be a bottleneck in the shuffle subphase of MapReduce. This could potentially lead to a poor overall performance even with a balanced workload and thus needed to be addressed. Earlier studies either assume the network inside a datacenter is of negligible delay and infinite capacity, or use a hop count as the network cost measurement. We consider the realistic bandwidth constraints in real world datacenter networks and propose an effective solution toward near optimal datacenter-networkaware load balancing.
Isolation and Determination of Antibiotic Resistance Patterns in Nontyphoid Salmonella spp isolated from chicken

Background: Salmonellosis is one of the most common food borne diseases in industrial and developing countries. In recent years, an increase in antimicrobial drug resistance, among non-typhoid Salmonella spp has been observed. Objectives: The aim of this study was to isolate and determine antibiotic resistance pattern in non-typhoid Salmonella spp. Materials and Methods: This descriptive study was done on 100 samples of chickens collected from 196 retail markets and was examined for the presence of Salmonella using standard bacteriological procedures and stereotyping kit. Antimicrobial susceptibility testing was performed by disk diffusion methods according to the National Committee for Clinical Laboratory Standards (CLSI). The data were analyzed by using the SPSS software version 18. Result: Forty- four percent of samples were contaminated with Salmonella infection and 56% didn’t have any contamination. The stereotyping results showed that 34 of 44 isolates of Salmonella belonged to Salmonella infantis (79.5 %), one strain (2.3%) of group C and 8 strain (18.2%) of group D. However, all these strains were sensitive to Cefotaxime and Ciprofloxacin, and 100% were resistant to Nalidixic acid, Tetracyclin and Sterptomycin. The most common resistance pattern (34.1%) was towards six antibiotics, and 6.8% of strains were resistant to at least three antibiotics. Conclusion: High levels of resistance to antibiotics that are used commonly for human and poultry can be a warning for our community health and this information must be used to form important strategies for improvement of infection control.
SCREEN ISOTROPIC LEAVES ON LIGHTLIKE HYPERSURFACES OF A LORENTZIAN MANIFOLD

In the present paper, screen isotropic leaves on lightlike hypersurfaces of a Lorentzian manifold are introduced and studied which are inspired by the deﬁnition of isotropic immersions in the Riemannian context. Some examples of such leaves are mentioned. Furthermore, some relations involving curvature invariants are obtained.
An Influence Calculating Method based on Mobile Phone Data

In order to provide the personalized services, there is massive research about the mobile recommender system. The user influence plays an important role in the recommender system, so an influence calculation method based on mobile phone data is proposed in the paper. In the proposed method, we consider the user exchange behavior under context and the mobile user preference. Finally, the experimental results show that the proposed method can realize the influence calculation more accurately compared with the existing methods.
Application of Set Theory Formulas in the Presentation of Lexical Meronymy

Lexemes relate in terms of sense in various ways that are linguistically referred to as homonymy, polysemy, antonymy, synonymy and even hyponymy among others. Though some of these relations like hyponymy tend to include majorly lexemes referring to discrete objects that relate in terms of sense, there is a lexical relation whereby one whole object refers to a combination of various parts which may include discrete and abstract entities. These parts are of different structures and functions. This relation involving the whole and the parts is normally referred to as meronymy. Thus the article shows the application of set theory formulas in the presentation of lexical meronymy. Though there are component - integral object, member - collection, portion - mass, stuff - object, feature - activity and also place - area relations in meronymy, the study has only embarked on the component - integral object and place -area relations together with some two more proposed period - time and colour - spectrum relations.
miR-15 b inhibits cancer-initiating cell phenotypes and chemoresistance of cisplatin by targeting TRIM 14 in oral tongue squamous cell cancer

Oral tongue squamous cell carcinoma (TSCC) is one of the most lethal cancers within the oral cavity and its prognosis remains dismal due to the paucity of effective therapeutic targets. The formation of cancer-initiating cells (CICs) and epithelial-mesenchymal transition (EMT) are pivotal events involved in the dismal prognosis. They have been shown to be related to the resistance to cisplatin treatment. In the present study, we showed that TRIM14 induced formation of cancer-initiating cells and EMT in TSCC SCC25 cells. Its overexpression promoted cisplatin resistance in the SCC25 cells. We found that overexpression of miR-15b suppressed TRIM14 and inhibited CIC phenotypes in the SCC25 cells. Moreover, overexpression of miR-15b promoted mesenchymal-epithelial transition (MET) in the SCC25 cells and sensitized cisplatin-resistant SCC25 (SCC25-res) cells to cisplatin. Thus, we conclude that miR-15b inhibited cancer stem cell phenotypes and its restoration reversed the chemoresistance of cisplatin by targeting TRIM14 in TSCC. Elucidating the molecular mechanism of EMT and cancer stem cells in TSCC may further aid in the understanding of the pathogenesis and progression of the disease, and offer novel targets for the discovery of new drugs.
Domain Generalization by Marginal Transfer Learning

In the problem of domain generalization (DG), there are labeled training data sets from several related prediction problems, and the goal is to make accurate predictions on future unlabeled data sets that are not known to the learner. This problem arises in several applications where data distributions fluctuate because of environmental, technical, or other sources of variation. We introduce a formal framework for DG, and argue that it can be viewed as a kind of supervised learning problem by augmenting the original feature space with the marginal distribution of feature vectors. While our framework has several connections to conventional analysis of supervised learning algorithms, several unique aspects of DG require new methods of analysis. This work lays the learning theoretic foundations of domain generalization, building on our earlier conference paper where the problem of DG was introduced Blanchard et al., 2011. We present two formal models of data generation, corresponding notions of risk, and distribution-free generalization error analysis. By focusing our attention on kernel methods, we also provide more quantitative results and a universally consistent algorithm. An efficient implementation is provided for this algorithm, which is experimentally compared to a pooling strategy on one synthetic and three real-world data sets.