Miracle-dz/UniFAR-FTUs huggingface dataset:
An Email-Based Delphi Approach to Tourism Program Evaluation: Involving Stakeholders in Research Design

A panel of key stakeholders was consulted in the design of a survey being used for evaluating the Tapestry Tourism Futures Project – a systems-based modelling project in the south-west of Western Australia. The email-based Delphi consultation approach that was adopted was seen as a means of increasing the relevance of the outcomes to stakeholders. It is argued that this approach resulted in the participation of a diverse range of stakeholders in a time- and cost-efficient manner. However, some limitations of the method in terms of the provision of adequate feedback and direction are noted. It is concluded that through close liaison between the panel coordinator and advisory panel participants, an email-based Delphi process constitutes a highly effective consultation method for involving stakeholders in tourism research design.
Alterations of Growth Performance and Blood Chemistry in Nile Tilapia (Oreochromis Nuoticus) Affected by Copper Sulfate in Long-Term Exposure

The objective of this study was to evaluate the effects of copper sulfate (CuSO4.(5 H2O)) on the Nile tilapia (Oreochromis niloticus). Median (LC50) and minimum (LC1O) lethal concentrations of copper sulfate on Nile tilapia were determined via acute tests. LC50 values of copper sulfate for the 48 , 72 and 96 hours were 13.15, 12.95 and 12.85 mg/L, respectively. LC10 values of 12, 11 and 9.5 mg/L were obtained for similar exposure periods (48 , 72 and 96 hours), respectively. The effects of 1.5 mg/L dose of copper sulfate on growth rate, gross clinical observations and blood biochemical parameters of Nile tilapia were evaluated after 35, 65 and 95 days of exposure periods. The differences of growth rates between control and copper sulfate-exposed groups were not significant (P>0.05) at the end of 35, 65 and 95 days. Continuous exposure of Nile tilapia to 1.5 mg/L concentration of copper sulfate in water solution for three periods (35, 65 and 95 days) decreased the total protein, albumin, aspartate aminotransferase (AST), alanine aminotransferase (ALT), glucose (except the elevation in the exposed group at the end of 95 days period), magnesium (Mg2), calcium (Ca2), iron (Fe2), potassium (K), sodium (Na), chloride (CI) and phosphate values in serum. The cholesterol, low density lipid (LDL), triglyceride, globulin, creatinine, alkaline phosphatase (ALP), total bilirubin, direct bilirubin, uric acid and blood urea nitrogen (BUN) concentrations in the serum increased in copper sulfate-exposed fish.
Amicon-adapted enhanced FASP: an in-solution digestion-based alternative sample preparation method to FASP

Sample preparation is a crucial step for liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based proteomics. Sodium dodecyl sulfate (SDS) is a powerful denaturing detergent that allows for long-term preservation of protein integrity. However, as it inhibits trypsin and interferes with LC-MS/MS analyses, it must be removed from samples prior to these experiments. The Filter-Aided Sample Preparation (FASP) method is actually one of the preferred and simplest methods for such purpose. Nonetheless, there exist great disparities in the quality of outcomes when comparing FASP to other protocols depending on the authors, and recent reports have pointed to concerns regarding its depth of proteome coverage. To address these issues, we propose an Amicon-adapted in-solution-based enhanced FASP (eFASP) approach that relies on current best practices in comprehensive proteomics sample preparation. Human megakaryoblastic leukaemia cancer cells’ protein extracts were treated in parallel with both Amicon-adapted eFASP and FASP, quantified for remaining SDS and then analyzed with a 1-hr gradient LC-MS/MS run. The Amicon-adapted eFASP utilizes a passivated low molecular weight cut-off Amicon filter, and incorporates a cleaning step with a high-content deoxycholate buffer and a ‘one-step-two-enzymes’ trypsin/Lys-C in-solution digestion. Amicon-adapted eFASP was found more reproducible and deepened proteome coverage, especially for membrane proteins. As compared to FASP, Amicon-adapted eFASP removed much of SDS from high-protein samples and reached a notable depth of proteome coverage with nearly 1,700 proteins identified in a 1 hr LC-MS/MS single-run analysis without prior fractionation. Amicon-adapted eFASP can therefore be regarded as a simple and reliable sample preparation approach for comprehensive proteomics.
Case series, neuroscience-infused, computational neuropsychology will play a crucial role in the future of aphasiology. Commentary on Laine and Martin, “Cognitive neuropsychology has been, is, and will be significant to aphasiology”

In their target article, Laine andMartin (2012) summarise some of the crucial featureand history of single case cognitive neuropsychology and its importance for the past and future of aphasiology. This is a timely topic for at least two reasons: First, it follows more general discussions on the role of single case versus case series approaches to neuropsychology (we refer the reader to these in-depth and thoughtful pieces, see Lambon Ralph, Moriarty, & Sage, 2002; Lambon Ralph, Patterson, & Plaut, 2011; Patterson & Plaut, 2009; Schwartz & Dell, 2011); second, Laine and Martin have brought the focus of the topic to aphasia more specifically. We consider this latter step to be an important one because it allows a discussion not only of the role of cognitive neuropsychology in understanding of the nature and neural basis of acquired language impairments, but also of improving the efficacy of the interventions we can offer patients with aphasia. Our brief commentary is therefore organised into two parts reflecting these dual themes.
Carbon‐based ocean productivity and phytoplankton physiology from space

Ocean biogeochemical and ecosystem processes are linked by net primary production (NPP) in the ocean's surface layer, where inorganic carbon is fixed by photosynthetic processes. Determinations of NPP are necessarily a function of phytoplankton biomass and its physiological status, but the estimation of these two terms from space has remained an elusive target. Here we present new satellite ocean color observations of phytoplankton carbon (C) and chlorophyll (Chl) biomass and show that derived Chl:C ratios closely follow anticipated physiological dependencies on light, nutrients, and temperature. With this new information, global estimates of phytoplankton growth rates (μ) and carbon‐based NPP are made for the first time. Compared to an earlier chlorophyll‐based approach, our carbon‐based values are considerably higher in tropical oceans, show greater seasonality at middle and high latitudes, and illustrate important differences in the formation and demise of regional algal blooms. This fusion of emerging concepts from the phycological and remote sensing disciplines has the potential to fundamentally change how we model and observe carbon cycling in the global oceans.
Predicting Croatian Phrase Sentiment Using a Deep Matrix-Vector Model

Many sentiment analysis tasks rely on the existence of a sentiment lexicon. Such lexicons, however, typically contain single words annotated with prior sentiment. Problems arise when trying to model the sentiment of multiword phrases such as “very good” or “not bad”. In this paper, we use a recently proposed deep neural network model to classify the sentiment of phrases in Croatian. The experimental results suggest that reasonable classification of phrase-level sentiment for Croatian is achievable with such a model, reaching a performance comparable to that of an analogous model for English. Napovedovanje sentimenta besednih zvez v hrvaščini z uporabo globinskega modela matrik vektorjev Napovedovanje sentimenta besednih zvez v hrvaščini z uporabo globinskega modela matrik vektorjev Mnogo analiz sentimenta se zanaša na obstoj leksikona z informacijami o sentimentu. Vendar takšni leksikoni tipično vsebujejo samo posamezne besede, označene z vnaprejšnjim sentimentom. Problemi se pojavijo, ko bi želeli modelirati sentiment večbesednih enot, kot so »zelo dobro« ali »ni slabo«. V prispevku uporabimo pred kratkim predlagano globinsko nevronsko mrežo, s katero klasificiramo sentiment besednih zvez v hrvaščini. Eksperimentalni rezultati nakazujejo, da je s takim modelom mogoče doseči razmeroma dobro klasifikacijo besednih zvez glede na njihov sentiment, saj je delovanje modela primerljivo z analognim modelom za angleški jezik.
Lifted Relational Team Embeddings for Predictive Sports Analytics

We investigate the use of relational learning in domain of predictive sports analytics, for which we propose a team embedding concept expressed in the language of Lifted relational neural networks, a framework for learning of latent relational structures. On a large dataset of soccer results, we compare different relational learners against strong current methods from the domain to show some very promising results of the relational approach when combined with embedding learning.
TECHNIQUE FOR ELIMINATING NOTCHING IN THROUGH-WAFER ETCHING

 In through-wafer silicon etching using highdensity low-pressure inductively coupled plasma, a notching (or footing) effect occurs at the silicon-insulator interface. The insulator layer is common, as the silicon wafer has either an oxide layer to avoid break through of the plasma or is bonded to a handle wafer using either photoresist or other adhesives. Notching at the foot of micro-structures can lead to a significant degradation of the mechanical performance and is unacceptable when an optically flat surface is needed. A novel method to avoid notching by eliminating charge buildup through the use of a thin metal coating is presented.
Parametric and design analysis on thermoelectric generators

Huang, Shouyuan. M.S.M.E. , Purdue University, August 2016. Parametric and Design Analysis on Thermoelectric Generators. Major Professor: Xianfan Xu, School of Mechanical Engineering. In facing the limited energy source reserves and environmental problems, thermoelectric generators (TEGs) are one of the promising waste heat recovery systems. The modern TEGs for exhaust stream (e.g. from automobiles) can improve the fuel economy by around 5%, taking advantage of the recent developed thermoelectric (TE) materials. In this work, we aimed at designing a TEG as an add-on module for a gas-phase heat exchanger with maximized power output, and without negative impact (e.g. maintaining a minimum heat dissipation rate from the hot side). We first developed a parametric optimization algorithm using response surface method (RSM) and genetic algorithm (GA) for the numerical model. The numerical model handles varied types of heat exchangers (cross flow and counter flow) with the finite volume method and calculates the thermoelectric modules (TEMs) with thermal resistance network analyses. TEMs based on filled-skutterudite and bismuth telluride are used respectively in higher and lower temperature regions. The RSM results also provide knowledge on sensitivity and interaction of parameters. The combined RSM-GA optimization algorithm will be
Constraints on the structure of Maio Island (Cape Verde) by a three-dimensional gravity model: imaging partially exhumed magma chambers

SUMMARY We propose a 3-D gravity model for the volcanic structure of the island of Maio (Cape Verde archipelago) with the objective of solving some open questions concerning the geometry and depth of the intrusive Central Igneous Complex. A gravity survey was made covering almost the entire surface of the island. The gravity data was inverted through a non-linear 3-D approach which provided a model constructed in a random growth process. The residual Bouguer gravity field shows a single positive anomaly presenting an elliptic shape with a NW–SE trending long axis. This Bouguer gravity anomaly is slightly off-centred with the island but its outline is concordant with the surface exposure of the Central Igneous Complex. The gravimetric modelling shows a high-density volume whose centre of mass is about 4500 m deep. With increasing depth, and despite the restricted gravimetric resolution, the horizontal sections of the model suggest the presence of two distinct bodies, whose relative position accounts for the elongated shape of the high positive Bouguer gravity anomaly. These bodies are interpreted as magma chambers whose coeval volcanic counterparts are no longer preserved. The orientation defined by the two bodies is similar to that of other structures known in the southern group of the Cape Verde islands, thus suggesting a possible structural control constraining the location of the plutonic intrusions.
You’ve Got Email: A Workflow Management Extraction System

Email is one of the most powerful tools for communication. Many businesses use email as the main channel for communication, so it is possible that substantial data are included in email content. In order to help businesses grow faster, a workflow management system may be required. The data gathered from email content might be a robust source for a workflow management system. This research proposes an email extraction system to extract data from any incoming emails into suitable database fields. The database, which is created by the program, has been planned for the implementation of a workflow management system. The research is presented in three phases: (1) define suitable criteria to extract data; (2) implement a program to extract data, and store them in a database; and (3) implement a program for validating data in a database. Four criteria are applied for an email extraction system. The first criterion is to select contact information at the end of the email content; the second criterion is to select specified keywords, such as tel, email, and mobile; the third criterion is to select unique names, which start with a capital letter, such as the names of people, places, and corporates; the fourth criterion is to select special texts, such as Co. Ltd, . com, and www. The empirical results suggest that when all four criteria are considered, the accuracy of a program and percentage of blank fields are at an acceptable level compared with the results from other criteria. When four criteria are applied to extract 7,340 emails in English, the accuracy of this experiment is approximately 68.66%, while the percentage of blank fields in a database is approximately 68.05. The database created by the experiment can be applied in a workflow management system.
Automating Automation : Master Mentoring Process

This paper describes an innovative computer system framework supporting robot automation programming, by a gesture controlled “show and tell” process, whereby human experts describe their goals of a process to be learned, and demonstrate via positional sensors(such as Microsoft Kinect or Leap Motion) the actions necessary to achieve those goals. These inputs are collected and optimized by the robot mentoring process, interpreted back to the human expert for confirmation feedback and/or subsequent fine tuning. This framework, is a pedagogical model, modelled on a professional human process needed to mentor others. We have applied this concept in an innovative way to mentor robots with gesture control and machine learning.
Joint MR-PET reconstruction using vector valued Total Generalized Variation

Florian Knoll, Martin Holler, Thomas Koesters, and Daniel K Sodickson Center for Advanced Imaging Innovation and Research (CAI2R), NYU School of Medicine, New York, NY, United States, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, New York, United States, Department of Mathematics and Scientific Computing, University of Graz, Graz, Austria
COMBINED ANALYSIS OF NEAR-NADIR MICROWAVE DUAL-FREQUENCY MEASUREMENT OVER THE OCEAN . APPLICATION TO THE KAKU DPR DATA OF GPM

In this work we use a global colocalized ocean surface observations in near nadir Ka and Ku band microwave measurements to comment on their discrepancies and the different physical multi-scale processes involved in both bands. The latter are from The Dual Frequency Precipitation Radar (DPR) onboard the Global Precipitation Measurement (GPM) platform and are colocalized with the wave model Wave Watch III giving access to local wave and wind conditions. Sensitivity of the radar cross section (σ) with wind speed (U10) and significant wave height (SWH) are compared and analysed in term of physical processes involved in the scattering phenomenon. We focus on the relationship between Ka and Ku cross sections fall-off with incidence to provide a valuable insight on the roughness structure (slope and curvature) of the ocean surface. Future spatial missions can take benefit of this work for possible inter-validation/comparison in this frequency regime and range of incidence (SWOT, CFOSAT, .)
Removal of Heavy Metals using Amine Crosslinked Reduced Graphene Oxide

Graphene oxide was synthesized by modified Hummers method and then reduced with hydrazine hydrate to obtain reduced graphene oxide. (3aminopropyl)trimethoxysilane used as a precursor for amine functionalized reduced graphene oxide. The amine functionalized nanoparticles were characterized using FT-IR, TGA, Raman, N2 sorption, SEM and TEM techniques. The surface area was found to be 346 m/g due to functionalization of amine over reduced graphene oxide. The amine functionalized nanoparticles were used as adsorbent for the removal of heavy metals from aqueous solution. The adsorption of heavy metal was high for the reduced graphene oxide nanocomposites when compared to bare amine functionalized nanoparticles. The maximum adsorption reached within fifteen minutes.
Timing is Almost Everything: Realistic Evaluation of the Very Short Intermittent DDoS Attacks

Distributed Denial-of-Service (DDoS) is a big threat to the security and stability of Internet-based services today. Among the recent advanced application-layer DDoS attacks, the Very Short Intermittent DDoS (VSI-DDoS) is the attack, which can bypass existing detection systems and significantly degrade the QoS experienced by users of web services. However, in order for the VSI-DDoS attack to work effectively, bots participating in the attack should be tightly synchronized, an assumption that is difficult to be met in reality. In this paper, we conducted a quantitative analysis to understand how a minimal deviation from perfect synchronization in botnets affects the performance and effectiveness of the VSI-DDoS attack. We found that VSI-DDoS became substantially less effective. That is, it lost 85.7% in terms of effectiveness under about 90ms synchronization inaccuracy, which is a very small inaccuracy under normal network conditions.
MEASURING INDIVIDUAL-LEVEL RESOURCE SPECIALIZATION

Many apparently generalized species are in fact composed of individual specialists that use a small subset of the population's resource distribution. Niche variation is usually established by testing the null hypothesis that individuals draw from a common resource distribution. This approach encourages a publication bias in which negative results are rarely reported, and obscures variation in the degree of individual specialization, limiting our ability to carry out comparative studies of the causes or consequences of niche variation. To facilitate studies of the degree of individual specialization, this paper outlines four quantitative indices of intrapopulation variation in resource use. Traditionally, such variation has been measured by partitioning the population's total niche width into within- and between-individual, sex, or phenotype components. We suggest two alternative measures that quantify the mean resource overlap between an individual and its population, and we discuss the advantages and disadvantages of all four measures. The utility of all indices depends on the quality of the empirical data. If resources are measured in a coarse-grained manner, individuals may falsely appear generalized. Alternatively, specialization may be overestimated by cross-sectional sampling schemes where diet variation can reflect a patchy environment. Isotope ratios, parasites, or diet-morphology correlations can complement cross-sectional data to establish temporal consistency of individual specialization.
Producing inflected verbs: A picture naming study

Four picture naming experiments addressing the production of regular and irregular pasttense forms in Dutch are reported. Effects of inflectional entropy as well as effects of the frequency of the past-tense inflected form across regulars and irregulars support models with a redundant lexicon while challenging the dual mechanism model (Pinker, 1997). The evidence supports the hypothesis of Stemberger (2004) and the general approach of Word and Paradigm morphology (Blevins, 2003) according to which inflected forms are not derived from the present-tense stem, but accessed independently.
ANTIHYPERGLYCEMIC, ANTIOXIDANT, AND PANCREAS REGENERATION ACTIVITIES OF BLACK CUMIN (NIGELLA SATIVA L.) SEEDS ETHANOL EXTRACT IN ALLOXAN-INDUCED DIABETIC RATS

Objective : The goal of this study was to determine the antihyperglycemic, antioxidant as well as pancreas regeneration effects of ethanol extracts of Nigella sativa L. seeds in alloxan-induced diabetic rats. Methods : The male Wistar rats were induced by intraperitoneal injection of alloxan (150 mg/kg bw). N. sativa seeds extract was prepared and orally administrated at the dose of 125 and 250 mg/kg bw for 28 d. Blood glucose level was measured, and antioxidant status was determined by the activities of superoxide dismutase, glutathione peroxidase as well as malonyl aldehyde in liver. Histopathological and immunohistochemistry study of the pancreas was conducted at the end of the experimental period. The data obtained were analyzed by one-way ANOVA (p<0.05). Results : Both doses of N. sativa seeds extract showed the glucose lowering effect and corrected antioxidant status of diabetic animals in liver. N. sativa seeds extract dose of 250 mg/kg decreased blood glucose levels and malonyl aldehyde, as well as increased the activity of superoxide dismutase and glutathione peroxidase, more effective than a dose of 125 mg/kg. Immunohistopathology profiles proved the pancreas regeneration activity of N. sativa seeds extract, based on the enhanced of diameter and amount of Langerhans islet cells. Conclusion : N. sativa seeds extract dose of 125 and 250 mg/kg showed antihyperglycemic effect, enhanced antioxidant activity, as well as pancreas regeneration from organ damage on an alloxan-induced diabetic rat. Keywords: Nigella sativa L. seed extract, Antihyperglycemic, Antioxidant, Pancreas regeneration