Miracle-dz/UniFAR-FTUs huggingface dataset:
Evolutionary Relationships Among Scyphozoan Jellyfish Families Based on Complete Taxon Sampling and Phylogenetic Analyses of 18 S and 28 S Ribosomal DNA

School of Natural Sciences, University of California at Merced, 5200 North Lake Road, Merced, CA 95343, USA; National Systematics Laboratory of NOAA’s Fisheries Service, National Museum of Natural History, MRC-153, Smithsonian Institution, PO Box 37012, Washington, DC 20013-7012, USA; University of Kansas, Department of Ecology and Evolutionary Biology, Haworth Hall, 1200 Sunnyside Avenue, Lawrence, KS 66045-7566, USA and Monterey Bay Aquarium Research Institute, 7700 Sandholdt Road, Moss Landing, CA 95039, USA
Exploring Millennial's perceptions towards luxury fashion wearable technology

PurposeThis study aims to examine the relationship between key value propositions of luxury fashion smartwatches, consumer attitudes and their purchase intentions, and to explore Millennial consumers' overall perceptions of using these wearable technologies.Design/methodology/approachThe research adopts a mixed methods approach. Quantitative enquiry consisting of 312 respondents was followed by two qualitative focus groups in order to provide a more comprehensive understanding of the issue.FindingsThe findings indicate that functional, individual and social factors influence Millennial consumers' adoption intention of luxury fashion smartwatches. Empirical results reveal that perceived hedonism and usefulness are the most important factors that motivate adoption intentions, followed by subjective norm and perceived conspicuousness, indicating that luxury smartwatches are perceived as both a technological device and luxury fashion accessory.Originality/valueGiven extant research on luxury fashion smartwatches is limited, this study contributes to this unique research stream by exploring Millennial's perceptions towards using these new generation smartwatches. This research develops a theoretical framework building on technology adoption model 2 (Venkatesh and Davis, 2000), theory of reasoned action (Ajzen and Fishbein, 1975) and luxury perception models (Wiedmann et al., 2007).
SEXUAL DIMORPHISM IN THE CORMORANT Phalacrocorax carbo sinensis: POSSIBLE IMPLICATIONS FOR DIFFERENCES IN STRUCTURAL SIZE

A sample of Cormorants which accidentily had been drowned in fishermen's gear was used to study differences in morphological characters and diet between males and females. Males were significantly larger than females in all body dimensions, whereas size of juveniles and adults were the same. Discriminant analyses applied on length of body, wing and culmen, and bill depth, achieved highest classification rates by a function which makes use of body length, wing length and bill depth. Bill depth and wing length showed best segregation between both sexes in all functions. Main fish species taken were Ruffe, Perch and Smelt. No difference was found in the proportion of each fish species in the diet of males and females. For Ruffe, Perch, Eel and Smelt, only in the latter two species significant larger individuals were taken by males. Differences in structural size are discussed with respect to individual hunting performance of males and females. Rijkswaterstaat Directorate Flevoland, P.O. Box 600, NL-8200 AP, Lelystad, The Netherlands.
Main Influencing Factors of Quality Determination of Collaborative Open Data Pages

Collaborative knowledge bases allow anyone to create and edit information online. One example of a resource with collaborative content is Wikipedia. Despite the fact that this free encyclopedia is one of the most popular sources of information in the world, it is often criticized for the poor quality of its content. Articles in Wikipedia in different languages on the same topic, can be created and edited independently of each other. Some of these language versions can provide very different but valuable information on each topic. Measuring the quality of articles using metrics is intended to make open data pages such as Wikipedia more reliable and trustworthy. A major challenge is that the ‘gold standard’ in determining the quality of an open data page is unknown. Therefore, we investigated which factors influence the potentials of quality determination of collaborative open data pages and their sources. Our model is based on empirical data derived from the experience of international experts on knowledge management and data quality. It has been developed by using semi-structured interviews and a qualitative content analysis based on Grounded Theory (GT). Important influencing factors are: Better outcomes, Better decision making, Limitations, More efficient workflows for article creation and review, Process efficiency, Quality improvement, Reliable and trustworthy utilization of data.
Do Multinationals Pay Less in Taxes than Domestic Firms? Evidence from the Swedish Manufacturing Sector

There is a strong general concern amongst policymakers worldwide that multinational enterprises engage in far-reaching tax-planning activities. It is generally thought that by using transfer pricing or other techniques to shift profits, multinational enterprises can avoid taxation and thereby erode tax bases. Several attempts have been made to tackle this problem, not least through the OECD/G20 initiated Action Plan on Base Erosion and Profit Shifting. It is hard, however, to empirically quantify the magnitude of tax-planning activities that takes place. In this paper, we rely on census data from tax return and income statements and balance sheets reported by Swedish manufacturing firms in the 1997-2007 time period to identify possible profit-shifting activities by multinational enterprises. We study systematic differences between multinational and comparable domestic firms in tax payments, profits, earnings before interest and taxes, and equity ratios using difference-in-differences estimations based on propensity score matching. The detailed data allow us to narrow down the empirical focus and investigate not only whether multinational pay less in taxes than domestic firms, but also how tax planning activities may take place through transfer pricing and/or internal debt set-ups.
Nickel recovery from electric arc furnace slag by magnetic separation

During the pyrometallurgical treatment of the nickel-bearing laterite in the plant of G.M. M. S.A. LARCO, slag is produced after treatment in electric-arc furnace (EAF) that contains 0.10 to 0.20 % Ni. Taking into account the great quantity of slag produced per year, the recovery of nickel from the EAF slag will add benefits to the entire process. The target of the current work is to investigate the possibility of nickel recovery from EAF slag by magnetic separation. To meet the target, the effect of the following parameters was studied: grain size, magnetic field intensity, thickness of slag layer, moisture content, and re-grinding of the coarser slag particles. The results show that it is possible to obtain a magnetic product with nickel grade close to that of the primary raw material or even better, with sufficient nickel recovery.
Evidence for focused magmatic accretion at segment centers from lateral dike injections captured beneath the Red Sea rift in Afar

Continental breakup occurs through repeated episodes of mechanical stretching and dike injection within discrete, narrow rift segments. However, the time and length scales of the dike intrusions, along with the source regions of melt within continental and oceanic rifts, are poorly constrained. We present measurements of spatial and temporal variability in deformation from the currently active 60-km-long Dabbahu segment of the Red Sea rift in Afar, using satellite radar, global positioning system, and seismicity data sets, that capture emplacement of two ~10-km-long, ~1–2-m-wide dike intrusions in June and July 2006. Our observations show that the majority of strain is accommodated by dikes that propagate laterally over ~4–5 h time scales along the rift axis and are sourced from a reservoir in the middle to lower crust, or upper mantle, beneath the center of the rift segment. New intrusions during the ongoing rifting episode in Afar show that the injection of lateral dikes fed from magma reservoirs beneath rift segment centers is a key component in creating and maintaining regular along-axis rift segmentation during the final stages of continental breakup. Our observations also provide evidence that the focused magmatic accretion at segment centers observed in slow-spreading mid-ocean ridges occurs prior to the onset of seafloor spreading.
The metabolic basis of arginine nutrition and pharmacotherapy

As an essential precursor for the synthesis of proteins and other molecules with enormous biological importance (including nitric oxide, urea, ornithine, proline, polyamines, glutamate, creatine, agmatine, and dimethylarginines), arginine displays remarkable metabolic and regulatory versatility. Evidence available to date provides a sound reason to classify arginine as an essential amino acid for young mammals (including parenterally fed human infants) and as a conditionally essential amino acid for adults under such conditions as trauma, burn injury, massive small-bowel resection, and renal failure. Arginine administration reverses endothelial dysfunction, enhances wound healing, prevents the early stages of tumorigenesis, and improves cardiovascular, reproductive, pulmonary, renal, digestive, and immune functions. Arginine or its effective precursor citrulline may hold great promise as a nutritional or pharmacotherapeutic treatment for a wide array of human diseases. © 2002 Éditions scientifiques et médicales Elsevier SAS. All rights reserved.
Investigation of electron wave function hybridization in Ga0.25In0.75As/InP arrays

We present a measurement technique for quantifying coupling between semiconductor quantum dots in an array. This technique employs magnetoconductance fluctuations to probe the decrease in the average spacing of the quantum energy levels as the electron wave functions in the dots undergo hybridization. Focusing on Ga0.25In0. 75As dots, we investigate hybridization as the coupling strength is varied and the number of dots in the array is increased. Our technique reveals a significant drop in the average energy level spacing for multiple dot arrays, which is strong evidence for wave function hybridization.
The commercialisation process of patents by universities

The commercialisation process of university patents and how the decisions were made to patent new scientific discoveries and to commercialise them have not been studied extensively. This paper attempts to understand in detail, the process of commercialisation of university patents from the initial scientific disclosures through patent filings to the choice of commercialisation routes. A series of interviews were conducted with seven directors of technology transfer offices (TTO) of UK universities. The interviews were structured in a way so as to discover how new disclosures in their universities were chosen to be patented and how the patents were commercialised. The interviews were recorded, transcribed and analysed with the help of Nvivo software. Then, case and cross case analysis were done. The result of the study showed that there are variations in practices between universities in how they decide to patent and in the routes of exploitation. Universities do differ on which inventions need to be patented and which route to go for their commercialisation. Universities that practice very highly selective procedures would only patent an invention after a very thorough market analysis. But there are universities that practiced low selective procedures; as such, they file for patent as long as the invention fulfils an expectation of potential value. Decisions on which route to commercialise are sought after the patent filings. Overall, only one university practice a very systematic selection procedure, from which, inventions were patented and specific route of commercialisation was chosen. Most of the universities based their selection criteria on motivations of the inventors, either to patent and which commercialisation route to utilise for their inventions.
XMM-Newton observations of eleven intermediate polars and possible candidates

Aims. We aim to identify new intermediate polars (IPs) in XMM-Newton observations from a list of promising candidates. By selecting targets not previously known to be X-ray bright, we aim to uncover evidence for an X-ray underluminous IP subpopulation. Methods. We performed period searches on the XMM-Newton X-ray and optical data of our targets to seek both the spin and orbital periods, which differ in IPs. We also investigated the X-ray spectra to find the hot plasma emission shown by these objects. With archival Swift data we coarsely investigated the long-term X-ray variability, and with archival optical data from a variety of catalogues, we compared the optical to X-ray luminosity to identify X-ray faint objects. This paper presents the first XMM-Newton observation of the prototype IP, DQ Her. Results. We find firm evidence for HZ Pup, V349 Aqr, and IGR J18151-1052 being IPs, with likely white dwarf spin periods of 1552, 390, and 390 s, respectively. The former two have luminosities typical of IPs, and the latter is strongly absorbed and with unknown distance. GI Mon and V1084 Her are apparently non-magnetic CVs with interesting short-term variability unrelated to WD spin. V533 Her is probably a magnetic CV and remains a good IP candidate, while V1039 Cen is possibly a polar. The remaining candidates were too faint to allow for any firm conclusions.
Characteristics of Chiral Anomaly in View of Various Applications

In view of the recent applications of chiral anomaly to various fields beyond particle physics, we discuss some basic aspects of chiral anomaly which may help deepen our understanding of chiral anomaly in particle physics also. It is first shown that Berry's phase (and its generalization) for the Weyl model $H =v_{F} \vec{\sigma}\cdot \vec{p}(t)$ assumes a monopole form at the exact adiabatic limit but deviates from it off the adiabatic limit and vanishes in the high frequency limit of the Fourier transform of $\vec{p}(t)$ for bounded $|\vec{p}(t)|$. An effective action, which is consistent with the non-adiabatic limit of Berry's phase, combined with the Bjorken-Johnson-Low prescription gives normal equal-time space-time commutators and no chiral anomaly. In contrast, an effective action with a monopole at the origin of the momentum space, which describes Berry's phase in the precise adiabatic limit but fails off the adiabatic limit, gives anomalous space-time commutators and a covariant anomaly to the gauge current. We regard this anomaly as an artifact of the postulated monopole and not a consequence of Berry's phase. As for the recent application of the chiral anomaly to the description of effective Weyl fermions in condensed matter and nuclear physics, which is closely related to the formulation of lattice chiral fermions, we point out that the chiral anomaly for each species doubler separately vanishes for a finite lattice spacing, contrary to the common assumption. Instead a general form of pair creation associated with the spectral flow for the Dirac sea with finite depth takes place. This view is supported by the Ginsparg-Wilson fermion, which defines a single Weyl fermion without doublers on the lattice and gives a well-defined index (anomaly) even for a finite lattice spacing.
The usability of the Process Mining analysis method to improve processes of the Netherlands Ministry of Defence: Graduation thesis at the Netherlands Ministry of Defence

In recent years, the Netherlands Ministry of Defence (MoD) modelled, standardized, and digitally secured many of its organization-broad business processes. However, MoD experiences great difficulty in gaining insights in these processes and steering them productively. The novel business process analyses method Process Mining appeared to be a promising instrument. However, MoD lacks experience with process mining as a way to analyse and subsequently improve processes. In addition on how to apply process mining, MoD wants to learn the requirements for starting a process mining project. The thesis starts with a literature study on eight business process improvement methodologies (BPIs), viz. Lean, Six Sigma, Lean Six Sigma, Total Quality Management, Lean MRO, Total Productive Maintenance, Business Process Reengineering, and Business Process Improvement. These BPIs are compared with each other in an overview based on nine characteristics. Then, a ninth BPI is studied: process mining. The literature on this topic is scattered, but a study is conducted on several element. After that, pros and cons are discussed and process mining is placed in the overview of BPIs. A combination of desk and field research leads to the improvement of the best practise methodology PM2. And this improved methodology, called PM3, is further within MoD. Next to that, a process mining decision framework is developed according to the waterfall model. This framework can score business process models on several characteristics. The resulting total score determines whether process mining can successfully be applied to improve the process. For MoD, process mining can be a valuable instrument for improving processes. It can convert a gut feeling into clear numbers and models, which can form the start of an improvement project. It is thus recommended to make process mining available to the organisation. The thesis gives a good insight in the possibilities of process mining, but it also comes with several opportunities for future research. For example, PM3 has demonstrated itself in the field, but this have not yet led to measurable improvements (only important insights in the processes). Future research is required to verify its true potential. Second, the decision framework is tested by assessing fourteen of MoD’s processes and evaluated by discussion it with ten system experts. Yet again, empirical research is probably the only way to truly verify it, but this was not possible during the thesis. Third, both PM3 and the decision framework focus on MRO within MoD. It is unlikely that a change of domain or organisation makes a significant difference, but the possibility should be taken into account and further investigated. And finally, a significant limitation of the framework is that it only scores on process mining. So, if it presents a very low score, it does not suggest an alternative BPI. This fell outside the scope of the thesis, but is nevertheless an interesting research opportunity.
Comparison of Methods to Estimate Lake-Surface-Water Temperature Using Landsat 7 ETM+ and MODIS Imagery: Case Study of a Large Shallow Subtropical Lake in Southern Brazil

Water temperature regulates many processes in lakes; therefore, evaluating it is essential to understand its ecological status and functioning, and to comprehend the impact of climate change. Although few studies assessed the accuracy of individual sensors in estimating lake-surface-water temperature (LSWT), comparative analysis considering different sensors is still needed. This study evaluated the performance of two thermal sensors, MODIS and Landsat 7 ETM+, and used Landsat methods to estimate the SWT of a large subtropical lake. MODIS products MOD11 LST and MOD28 SST were used for comparison. For the Landsat images, the radiative transfer equation (RTE), using NASA’s Atmospheric Correction Parameter Calculator (AtmCorr) parameters, was compared with the single-channel algorithm in different approaches. Our results showed that MOD11 obtained the highest accuracy (RMSE of 1.05 ° C), and is the recommended product for LSWT studies. For Landsat-derived SWT, AtmCorr obtained the highest accuracy (RMSE of 1.07 ° C) and is the recommended method for small lakes. Sensitivity analysis showed that Landsat-derived LSWT using the RTE is very sensitive to atmospheric parameters and emissivity. A discussion of the main error sources was conducted. We recommend that similar tests be applied for Landsat imagery on different lakes, further studies on algorithms to correct the cool-skin effect in inland waters, and tests of different emissivity values to verify if it can compensate for this effect, in an effort to improve the accuracy of these estimates.
Transient Effect Ring Oscillators Leak Too

Up to now, the transient effect ring oscillator (TERO) seemed to be a better building block for PUFs than a standard ring oscillator, since it was thought to be immune to electromagnetic analysis. Here, we report for the first time that TERO PUFs are in fact vulnerable to electromagnetic analysis too. First, we propose a spectral model of a TERO cell output, showing how to fit it to experimental data obtained with the help of a spectrum analyser to recover the number of oscillations of a TERO cell. We then extend it to two TERO cells oscillating simultaneously, and show how this ability can be used to fully clone a TERO PUF. These results should help designers to better plan for susceptibility of TERO PUFs to electromagnetic analysis in their future designs.
Design and Performance of a Novel Spillway Turbine

The high-speed supercritical flow in steeply sloped channels contains a significant amount of hydro-kinetic energy. A novel, horizontal axis, spillway turbine as presented in this paper attempts to convert that energy into electricity. We report on the turbine’s design and experimental testing. Its intended use is in low-head, low-flow, manmade, concrete-lined channels such as chutes, spillways and other similar steeply sloped open-channels. The design lends itself from an impulse turbine runner but without a pipe or a nozzle. The spillway turbine consists of 2 main components: 1) the runner and 2) an accelerator channel that directs the water towards the runner’s blades. The runner, once fitted with Pelton-inspired “cup inserts” shows performance improvements both in terms of efficiency and specific speeds. The specific speed and the speed factors calculated confirm that this novel spillway turbine runner can be categorized as an impulse turbine. The maximum efficiency obtained during laboratory testing is 43.4% and hence competes well with standard hydrokinetic turbines.
HumDLoc: Human Protein Subcellular Localization Prediction Using Deep Neural Network

Aims To develop a tool that can annotate subcellular localization of human proteins. Background With the progression of high throughput human proteomics projects, an enormous amount of protein sequence data has been discovered in the recent past. All these raw sequence data require precise mapping and annotation for their respective biological role and functional attributes. The functional characteristics of protein molecules are highly dependent on the subcellular localization/compartment. Therefore, a fully automated and reliable protein subcellular localization prediction system would be very useful for current proteomic research. Objective To develop a machine learning-based predictive model that can annotate the subcellular localization of human proteins with high accuracy and precision. Methods In this study, we used the PSI-CD-HIT homology criterion and utilized the sequence-based features of protein sequences to develop a powerful subcellular localization predictive model. The dataset used to train the HumDLoc model was extracted from a reliable data source, Uniprot knowledge base, which helps the model to generalize on the unseen dataset. Results The proposed model, HumDLoc, was compared with two of the most widely used techniques: CELLO and DeepLoc, and other machine learning-based tools. The result demonstrated promising predictive performance of HumDLoc model based on various machine learning parameters such as accuracy (≥97.00%), precision (≥0.86), recall (≥0.89), MCC score (≥0.86), ROC curve (0.98 square unit), and precision-recall curve (0.93 square unit). Conclusion In conclusion, HumDLoc was able to outperform several alternative tools for correctly predicting subcellular localization of human proteins. The HumDLoc has been hosted as a web-based tool at https://bioserver.iiita. ac.in/HumDLoc/.