Miracle-dz/UniFAR-FTUs huggingface dataset:
Determination Of Total Accumulated Rainfall, Global Radiation, Evapotranspiration And Degree-days Originated From The Ecmwf Model To Sugar Cane Crop

The climate variability between the growth and harvesting of sugar cane is very important because it directly affects yield. The MODIS sensor has characteristics like spatial and temporal resolution that can be applied to monitoring of vegetative vigor variability in the land surface and then, temporal profiles generation. Agro meteorological data from ECMWF model are free and easy to access and have a good representation of reality. In this study, we used the period between sugar cane growth and harvest in the state of Sao Paulo, Brazil, from temporal profiles selecting of NDVI behavior. For each period the precipitation, evapotranspiration, global radiation, length (days) and degree-days were accumulated. The periods were presented in a map format on MODIS spatial resolution of 250 meters. The results showed the spatial variability of climate variables and the relationship to the reality presented by official data.
Hybrid Tamm plasmon-polariton/microcavity modes for white top-emitting organic light-emitting devices

White top-emitting organic light-emitting devices (WTOLEDs), emitting white light through a transparent top metallic electrode, have emerged as promising candidates as energy-efficient solid-state lighting sources and full-color flat-panel displays. The microcavity effect due to usage of metallic electrodes results in emission enhancement solely at a particular color, and therefore sets an obstacle for WTOLEDs, where at least two colors with balanced intensity should be emitted. Current efforts solving the problem basically rely on the relaxation of the microcavity effect, resulting in sacrificed light outcoupling efficiency in the original resonance region. Here, we demonstrate that by integrating a photonic crystal structure upon the top metallic electrode, an additional emission enhancement peak other than the one determined by the microcavity resonance could be provided by the Tamm plasmon-polariton mode. Mode hybridization induced dual hybrid modes with comparable light outcoupling efficiency can then be excited, from which two colors with balanced intensity could be emitted. Both experimental and theoretical results demonstrate that the proposed mode hybridization strategy may pave the way for the realization of WTOELDs towards high white color quality, improved viewing characteristics, and electroluminescence efficiency.
Can Raising Instructional Time Crowd Out Student Pro-Social Behaviour? Evidence from Germany

We study whether raising instructional time can crowd out student pro-social behaviour. To this end, we exploit a large educational reform in Germany that has raised weekly instructional hours for high school students by 12.5% as a quasi-natural experiment. Using a difference-in-differences design, we find that this rise has a negative and sizeable effect on volunteering, both at the intensive and at the extensive margin. It also affects political interest. There is no similar crowding out of scholastic involvement, but no substitution either. Impacts seem to be driven by a reduction in available leisure time as opposed to a rise in intensity of instruction, and to be temporary only. Robustness checks, including placebo tests and triple differencing, confirm our results.
Improving Growth and Productivity of Olive Trees through Raising Photosynthesis Efficiency

The application of magnesium sulphate at the rate of 100g/tree in each of January, April, June and August increased significantly vegetative growth, photosynthetic pigments, leaf mineral contents (N, P, K and Mg), carbohydrates content in leaves, flowering characteristics (density, perfect flowers %, initial and final fruit set ), fruit quality (weight, size, diameter and pulp/seed ratio. Oil content in fruit was increased (18-20 %) in comparison with (12 %) in untreated trees. Yield of treated trees with magnesium sulphate was doubled (43 kg/tree) in comparison with (20 Kg/ tree) in untreated trees. The increase of growth and productivity of Manzanillo olive trees treated with magnesium sulphate could be explained by improving photosynthesis efficiency.
Analyzing Filters Toward Efficient ConvNet Takumi Kobayashi National Institute of Advanced Industrial Science and Technology , Japan

Deep convolutional neural network (ConvNet) is a promising approach for high-performance image classification. The behavior of ConvNet is analyzed mainly based on the neuron activations, such as by visualizing them. In this paper, in contrast to the activations, we focus on filters which are main components of ConvNets. Through analyzing two types of filters at convolution and fully-connected (FC) layers, respectively, on various pre-trained ConvNets, we present the methods to efficiently reformulate the filters, contributing to improving both memory size and classification performance of the ConvNets. They render the filter bases formulated in a parameter-free form as well as the efficient representation for the FC layer. The experimental results on image classification show that the methods are favorably applied to improve various ConvNets, including ResNet, trained on ImageNet with exhibiting high transferability on the other datasets.
Breaking Service Function Chains with Khaleesi

Network Function Virtualization (NFV) has recently emerged as a means to replace vendor specific, purpose built equipment with commodity hardware and leverage the open APIs and application orchestration for on demand deployment and scaling of network services. A well studied problem in NFV is the orchestration of Service Function Chains, (SFCs), i.e., a set of Virtual Network Functions (VNFs) chained together to realize a network service. State-of-the-art literature on SFC orchestration assumes a strict traversal order of VNFs in an SFC and less attention has been paid to SFCs with relaxed VNF orderings. In this paper, we address the problem of Flexible Service Function Chain Orchestration that jointly allocates compute and network resources for SFCs while considering a relaxed traversal order for some pairs of VNFs. We propose Khaleesi, a suite of solutions that consists of: (i) an Integer Linear Program (ILP) for optimally solving the problem; and (ii) a heuristic algorithm to scale to larger instances of the problem. Our simulation results show that flexible SFCs can increase revenue earned per unit cost by as much as ≈10% compared to a rigid SFC.
Scholarship@Western An Analysis of the Relationship between Humor Styles and An Analysis of the Relationship between Humor Styles and Depression Depression

The present study examined the relationship between humor styles and depression using two methods of examination: (1) the mean humor style differences between individuals who reported that they had been diagnosed with depression versus those who did not report being depressed; and (2) a short scale assessing depressed affect. Participants were 878 adult Australians. With respect to mean differences, depressed individuals were found to use self-defeating humor more, and self-enhancing humor less than non-depressed adults. When the depressed affect scale score was analyzed, negative correlations were found between depressed affect and both positive styles of humor, affiliative and self-enhancing. Additionally, a positive correlation was found between depressed affect and both aggressive and self-defeating humor. These results hope to shed light on the uses of humor in depressed individuals, and to further research to understand how humor can be used to improve or hurt depressive outcomes.
Probabilistic modeling of one-dimensional water movement and leaching from highway embankments containing secondary materials

Predictive methods for contaminant release from virgin and secondary road construction materials are important for evaluating potential long-term soil and groundwater contamination from highways. The objective of this research was to describe the field hydrology in a highway embankment and to investigate leaching under unsaturated conditions by use of a contaminant fate and transport model. The HYDRUS2D code was used to solve the Richards equation and the advection–dispersion equation with retardation. Water flow in a Minnesota highway embankment was successfully modeled in one dimension for several rain events after Bayesian calibration of the hydraulic parameters against water content data at a point 0.32 m from the surface of the embankment. The hypothetical leaching of Cadmium from coal fly ash was probabilistically simulated in a scenario where the top 0.50 m of the embankment was replaced by coal fly ash. Simulation results were compared to the percolation equation method where the solubility is mul.
Study of Non Diabetic Kidney Disease in Type2 Diabetic Patients with Renal Involvement

Diabetic nephropathy (DN) is one of the major complications of Diabetes Mellitus. It is estimated that 20-40% of diabetic patients will develop a diabetic renal disease. Diabetic nephropathy is the leading cause of end stage renal disease in India and across the world. But it is not the sole renal disease in diabetic patients. Kidney diseases other than diabetic nephropathy can occur in diabetic patients, and are known as non diabetic renal disease (NDRD), either isolated or superimposed on DN. The prevalence of NDRD is very high in type 2 diabetic patients and it varies widely depending on the populations being studied and the selection criteria. Several predictive factors which can be used as pointers to NDRD have been identified by different studies. Objective: To study the prevalence, clinical spectrum and predictive factors of NDRD in type 2 diabetic patients with renal involvement. Methodology: 684 type 2 diabetic patients with renal involvement were screened, of which 646 had overt nephropathy.38 with atypical clinical renal disease were selected for the study, of which 20 had undergone renal biopsy. Patients were grouped into 3,group I-isolated NDRD, group II-isolated DN and groupIII-NDRD superimposed on DN,and their clinical and biochemical parameters were analysed. Observations and conclusions: 70% of the patients who underwent renal biopsy had NDRD with or without concurrent DN.Patients with isolated NDRD had shorter duration of diabetes compared to the other groups. Absence of retinopathy and the presence of microscopic hematuria had significant association with NDRD.IgA nephropathy was the commonest etiology of NDRD in our study.
The Protocol Study , Multicentre Evaluation of Oral Health in Persons with Schizophrenia : a Cross-Sectional Study

1La Chartreuse Psychiatric Centre, 21033 Dijon, France. 2USMR-Réseau d’aide Méthodologiste, University Hospital of Dijon, 21079 Dijon Cedex, France. 3Direction de la Recherche Clinique, University Hospital of Dijon, 21079 Dijon Cedex, France. 4Department of Psychiatry, Robert Morlevat Hospital Center, 21140 Semur-en-Auxois, France. 5Department of Psychiatry and Addictology, University Hospital of Dijon, 21079 Dijon Cedex, France. 6Department of Psychiatry, Montreal University, Yale Program for Recovery and Community Health, 7401 Montréal, Canada. 7Regional forum of education and health promotion, 21000 Dijon, France.
Deep Density Clustering of Unconstrained Faces

In this paper, we consider the problem of grouping a collection of unconstrained face images in which the number of subjects is not known. We propose an unsupervised clustering algorithm called Deep Density Clustering (DDC) which is based on measuring density affinities between local neighborhoods in the feature space. By learning the minimal covering sphere for each neighborhood, information about the underlying structure is encapsulated. The encapsulation is also capable of locating high-density region of the neighborhood, which aids in measuring the neighborhood similarity. We theoretically show that the encapsulation asymptotically converges to a Parzen window density estimator. Our experiments show that DDC is a superior candidate for clustering unconstrained faces when the number of subjects is unknown. Unlike conventional linkage and density-based methods that are sensitive to the selection operating points, DDC attains more consistent and improved performance. Furthermore, the density-aware property reduces the difficulty in finding appropriate operating points.
Transport of Riverine Material From Multiple Rivers in the Chesapeake Bay: Important Control of Estuarine Circulation on the Material Distribution

Driven by estuarine circulation, material released from lower Chesapeake Bay tributaries has the potential to be transported to the upper Bay. How far and what fraction of the material from tributaries can be carried to the upper estuary have not been quantitatively investigated. For an estuary system with multiple tributaries, the relative contribution from each tributary can provide valuable information for source assessment and fate prediction for riverine materials and passive moving organisms. We conducted long‐term numerical simulations using multiple passive tracers that are independently released in the headwater of five main rivers (i.e., Susquehanna, Potomac, Rappahannock, York, and James Rivers) and calculated the relative contribution of each river to the total material in the mainstem. The results show that discharge from Susquehanna River exerts the dominant control on the riverine material throughout the entire mainstem. Despite the smaller contribution from the lower‐middle Bay tributaries to the total materials in the mainstem, materials released from these rivers have a high potential to be transported to the middle‐upper Bay through the bottom inflow by the persistent estuarine circulation. The fraction of the tributary material transported to the upper Bay depends on the location of the tributary. Materials released near the mouth are subject to a rapid flushing process, small retention time, and strong shelf current. Our results reveal three distinct spatial patterns for materials released from the main river, tributary, and coastal oceans. This study highlights the important control of estuarine circulation over horizontal and vertical distributions of materials in the mainstem.
Diversity and DMS(P) - Related genes in culturable bacterial communities in Malaysian coastal waters

Little is known about the diversity and roles of microbial communities in the South China Sea, especially the eastern region. This study aimed to expand our knowledge on the diversity of these communities in Malaysian waters, as well as their potential involvement in the breakdown or osmoregulation of dimethylsulphoniopropionate (DMSP). Water samples were collected during local cruises (Kuching, Kota Kinabalu, and Semporna) from the SHIVA expedition and the diversity of bacterial communities were analysed through the isolation and identification of 176 strains of cultured bacteria. The bacteria were further screened for the existence of two key genes (dmdA, dddP) which were involved in competing, enzymatically-mediated DMSP degradation pathways. The composition of bacterial communities in the three areas varied and changes were mirrored in physico-chemical parameters. Riverine input was highest in Kuching, which was mirrored by dominance of potentially pathogenic Vibrio sp. , whereas the Kota Kinabalu community was more indicative of an open ocean environment. Isolates obtained from Kota Kinabalu and Semporna showed that the communities in these areas have potential roles in bioremediation, nitrogen fixing and sulphate reduction. Bacteria isolated from Kuching displayed the highest abundance (44%) of both DMSP-degrading genes, while the bacterial community in Kota Kinabalu had the highest percentage (28%) of dmdA gene occurrence and the dddP gene responsible for DMS production was most abundant (33%) within the community in Semporna. To the best of our knowledge, this is the first study looking at the diversity of culturable bacteria in coastal waters of East Malaysia and also their potential roles in the DMS(P) cycle.
The Storm Surge and Sub-Grid Inundation Modeling in New York City during Hurricane Sandy

Hurricane Sandy inflicted heavy damage in New York City and the New Jersey coast as the second costliest storm in history. A large-scale, unstructured grid storm tide model, Semi-implicit Eulerian Lagrangian Finite Element (SELFE), was used to hindcast water level variation during Hurricane Sandy in the mid-Atlantic portion of the U.S. East Coast. The model was forced by eight tidal constituents at the model’s open boundary, 1500 km away from the coast, and the wind and pressure fields from atmospheric model Regional Atmospheric Modeling System (RAMS) provided by Weatherflow Inc. The comparisons of the modeled storm tide with the NOAA gauge stations from Montauk, NY, Long Island Sound, encompassing New York Harbor, Atlantic City, NJ, to Duck, NC, were in good agreement, with an overall root mean square error and relative error in the order of 15–20 cm and 5%–7%, respectively. Furthermore, using large-scale model outputs as the boundary conditions, a separate sub-grid model that incorporates LIDAR data for the major portion of the New York City was also set up to investigate the detailed inundation process. The model results compared favorably with USGS’ Hurricane Sandy Mapper database in terms of its timing, local inundation area, and the depth of the flooding water. The street-level inundation with water bypassing the city building was created and the maximum extent of horizontal inundation was calculated, which was within 30 m of the data-derived estimate by USGS.
Co-Administration of Fish Oil With Signal Transduction Inhibitors Has Anti-Migration Effects in Breast Cancer Cell Lines, in vitro

Background: There is an urgent need for new therapies to treat cancer metastasis. Fish oil, with high omega 3 fatty acid content, has shown anticancer activity and signal transduction inhibitors have shown anti-metastatic properties. Objective: To provide preliminary in vitro data on the anti-migration potential of signal transduction inhibitors and co-administered fish oil. Methods: MCF-7, TamR and FasR breast cancer cell lines were used to determine the effects of combinations of PD98059, LY294002 and fish oil in growth assays. Modulations of p-Src and COX-2, both mediators of motility and invasion, were then determined by Western blotting and IHC to ascertain effects on migration potential. Results: Migration rates for the three cell lines examined were ranked: FasR>TamR>MCF-7 (p <0.05). Addition of fish oil reduced the number of TamR cells migrating after 48h (p <0.05), while the addition of PD98059 and LY294002 also decreased migratory potential of TamR cells (p <0.05). Addition of PD98059 and LY294002 to TamR cells did not result in a significant decrease in p-Src levels; as was the case when PD98059, LY294002 and 4-hydroxytamoxifen were added to MCF-7 cells. However, the co-administration of fish oil markedly reduced p-Src and COX-2 expression in both cell lines. Conclusion: Co-administration of a commercial fish oil with signal transduction inhibitors results in decreased cell migration via an unknown co-operative mechanism and could constitute a novel approach for the treatment of breast cancer metastasis.
Venturing Beyond the IPO: Financing of Newly Public Firms by Venture Capitalists

Contrary to generally-held notions regarding the private firm focus of venture capital firms, we find that many VCs take an active investing role in firms after the IPO. Over one-quarter of VC-backed firms receive VC financing within the first five years after the IPO, in many cases from a VC that also funded the firm prior to the IPO. VCs concentrate their investments in firms that are most likely to find it prohibitively costly to raise public equity. Consistent with the added capital enabling the firm to undertake positive NPV projects, these post-IPO investments are associated with positive abnormal returns. Moreover, results indicate that the option to raise capital from a VC firm has positive value: the tendency of a firm’s pre-IPO VC to back firms after the IPO is positively related to post-IPO returns and to firm survival.
Conceptual and Adoption of Technology Acceptance Model in Digital Information Resources Usage by Undergraduates: Implication to Higher Institutions Education in Delta and Edo of Nigeria.

The article paper was on conceptual and theoretical framework of digital information resources usage by undergraduates: Implication to higher institutions education in Delta and Edo of Nigeria. It revealed the concept of digital information resources and model theory that related to the study. Finding shows that DIRs are use to low extent in all the university libraries. The finding also shows negligence on the part of university management of Federal University of Petroleum Resources Library that have no digital information resources at all. Another findings showed that constraints to students effective use of Digital Information Resources in the University Libraries are epileptic power supply; non-availability of online databases; inadequate number of computers to access digital information resources; inadequate bandwidth; Network problems; lack of skill to access digital information resources in local and foreign databases; Lack of formal training on internet use; Server slowness and frequent breakdown of digital resources. The implications to higher institutions education in Delta and Edo States include: It has been empirically proved that three university libraries in Delta and Edo state used for the study made DIRs available for their undergraduates. This implies that the institutions moved with current trends of digital age in higher institution. The study has revealed that the Digital Information Resources are used to low extent by undergraduates in UNIBEN; AAU; DELSU and FUPR. The implication is that undergraduates that utilized digital information resources to low extent will lag behind in their research, learning and assignment process in this digital age. The students could not compare themselves with other institutions of higher learning that use DIRs to a very great extent. Keywords: Digital resources, Higher institutions, Undergraduates, Information, Services.
The vanishing cryovolcanoes of Ceres

Ahuna Mons is a 4 km tall mountain on Ceres interpreted as a geologically young cryovolcanic dome. Other possible cryovolcanic features are more ambiguous, implying that cryovolcanism is only a recent phenomenon or that other cryovolcanic structures have been modified beyond easy identification. We test the hypothesis that Cerean cryovolcanic domes viscously relax, precluding ancient domes from recognition. We use numerical models to predict flow velocities of Ahuna Mons to be 10–500 m/Myr, depending upon assumptions about ice content, rheology, grain size, and thermal parameters. Slower flow rates in this range are sufficiently fast to induce extensive relaxation of cryovolcanic structures over 108–109 years, but gradual enough for Ahuna Mons to remain identifiable today. Positive topographic features, including a tholus underlying Ahuna Mons, may represent relaxed cryovolcanic structures. A composition for Ahuna Mons of >40% ice explains the observed distribution of cryovolcanic structures because viscous relaxation renders old cryovolcanoes unrecognizable.