Miracle-dz/UniFAR-FTUs huggingface dataset:
Conceptualization of an Autonomic Machine Learning Platform for Non-Expert Developers

Machine learning is an approach to develop some algorithm for problem solving from data of the problem domain without coding programs. Although there are various machine learning tools with which machine learning applications can be developed relatively easily, non-experts have yet difficulties in developing machine learning applications. To be a successful developer, it is required to understand machine learning algorithms and to make right design choices. This paper addresses the decision choices to be made and which tasks need to be automated by the platform for non-expert developers to get an effective and efficient machine learning application. It presents the autonomicity levels which specify the level of automation in machine learning application development. It describes the requirements of an autonomic machine learning platform which helps non-expert developers build a machine learning application. It also introduces an architecture of an autonomic machine learning platform.
Contrast and comparison of aerial algal communities from two distinct regions in the U.S.A., the Great Smoky Mountains National Park (TN) and the Lake Superior region.

The Great Smoky Mountains National Park (GSMNP) and the land surrounding Lake Superior (LSR) are rich in aerial habitats and support diverse aerial algal communities. Currently, the ecology of aerial algal communities is not well understood. Furthermore, no research has been published directly comparing aerial algal floras between geographic regions. We analyzed the ecology of the aerial habitats within each region and compared the overall algal flora between these two regions. Physical and chemical factors, including aspect, moisture levels, light levels, and pH were measured at each sampling location. Communities from both regions were dominated by cyanobacteria with average relative abundances >50% in both the GSMNP and LSR. The aerial algal flora of the GSMNP as a whole was not distinct from that of the LSR. Taxa unique to each region were found to be present in low abundances, while many taxa present in higher abundance were found in both the LSR and GSMNP communities. Non-metric multidimensional scaling ordination of the community data from both regions identified two distinct communities within the GSMNP. Moisture availability within sites contributed to this separation with higher mean relative of abundances of cyanobacteria in the drier habitats and higher mean relative abundances of chlorophytes and diatoms in the wetter habitats.
Oil Extraction from “Morelos Rice” Bran: Kinetics and Raw Oil Stability

“Morelos rice” is a variety of rice with certificate of denomination of origin. It is a large grain of opaque appearance and extra large size that is grown exclusively in Morelos state (Mexico). Thus, the quality and characteristics of its rice bran may affect the kinetic of the extraction process of its oil as well as its stability. Therefore, this work is oriented to determine the extraction kinetics of its oil and its oxidative stability. The latter one is obtained through the proposal of a method based on open-circuit potential measurements. The results showed that the rice bran has 21.44% of raw oil, with a chemical composition (based on fatty acids) of 48.48% oleic acid, 35.26% linoleic acid, and 14.54% palmitic acid, as well as a free fatty acid content of 8.15%. A high percentage of its oil content can be recovered in a short time at room temperature, and its extraction kinetics is a function of both the washing and the diffusion of its oil. Under storage conditions the raw oil has a high stability, at least 8 months, and its oxidative stability was of 24, 9, and 7 hours at 50°C, 80°C, and 110°C, respectively.
Oxidation state and coordination of Fe in minerals: An Fe K-XANES spectroscopic study

Abstract High-resolution Fe K-edge XANES spectra of a series of crystalline Fe2+- and Fe3+-bearing model compounds were measured in an effort to correlate characteristics of the pre-edge feature with oxidation state and local coordination environment of Fe atoms. The model compounds comprise 30 natural minerals and synthetic compounds, with Fe coordination environments ranging from 4 to 12 O atoms for Fe2+, including 5-coordinated trigonal bipyramidal Fe2+, and from 4 to 6 O atoms for Fe3+. Most pre-edge spectra show two components (due to crystal-field splitting) that are located just above the Fermi level. The most useful characteristics of the Fe-K pre-edge for determining Fe oxidation state and coordination number are the position of its centroid and its integrated intensity. The separation between the average pre-edge centroid positions for Fe2+ and Fe3+ is 1.4 ± 0.1 eV. Thus, the position of the pre-edge feature can be used as a measure of the average Fe-redox state, with the average preedge position for mixed Fe2+-Fe3+ compounds occurring between positions for Fe2+ and Fe3+. The lowest pre-edge normalized heights and integrated intensities are observed for the most centrosymmetric sites of Fe, in agreement with previous studies (see Waychunas et al. 1983). Examination of the pre-edge features of mechanical mixtures of phases containing different proportions of Fe2+ and Fe3+ suggests that the pre-edge position and intensity for these mixtures can vary quite non-linearly with the average redox state of Fe. However, distinctly different trends of pre-edge position vs. preedge intensity can be observed, depending on the coordination environment of Fe2+ and Fe3+, with an accuracy in redox determination of ±10 mol% provided that the site geometry for each redox state is known. These methods have been used to estimate the Fe3+/Fe2+ ratio in 12 minerals (magnetite, vesuvianite, franklinite, rhodonite, etc.) containing variable/unknown amounts of Fe2+/Fe3+.
Sculpting a Pre-planetary Nebula with a Precessing Jet: IRAS 16342–3814

We have imaged the bipolar pre-planetary nebula IRAS 16342-3814 with the Keck adaptive optics (AO) system in four near-infrared bands in the 1.6-4.7 μm range. The lobes, which showed smoothly varying brightness distributions in previous optical images taken with the Hubble Space Telescope, have a limb-brightened appearance in the AO images, with a remarkable corkscrew structure inscribed on the lobe walls. A well-collimated, precessing jet with a diameter ≲100 AU and a precession period ≲50 yr, interacting with ambient circumstellar material, is most likely responsible for the corkscrew structure and the lobes, as indicated by a detailed comparison of our observations with published numerical simulations. The very red colors of the lobes in the near-infrared, coupled with their visibility at optical wavelengths, require that at least half, but not all, of the light of the central star be trapped by a compact circumstellar dust cloud heated to ~600-700 K and reradiated in the infrared. The lobes are thus illuminated both by the infrared light from this dust cloud as well as by the optical light from the central star.
Distributed-Shared CUDA: Virtualization of Large-Scale GPU Systems for Programmability and Reliability

One of the difficulties for current GPGPU (General-Purpose computing on Graphics Processing Units) users is writing code to use multiple GPUs. One limiting factor is that only a few GPUs can be attached to a PC, which means that MPI (Message Passing Interface) would be a common tool to use tens or more GPUs. However, an MPIbased parallel code is sometimes complicated compared with a serial one. In this paper, we propose DS-CUDA (DistributedShared Compute Unified Device Architecture), a middleware to simplify the development of code that uses multiple GPUs distributed on a network. DS-CUDA provides a global view of GPUs at the source-code level. It virtualizes a cluster of GPU equipped PCs to seem like a single PC with many GPUs. Also, it provides automated redundant calculation mechanism to enhance the reliability of GPUs. The performance of Monte Carlo and many-body simulations are measured on 22-node (64-GPU) fraction of the TSUBAME 2.0 supercomputer. The results indicate that DS-CUDA is a practical solution to use tens or more GPUs. Keywords-GPGPU; CUDA; distributed shared system; virtualization.
Green Technology and Optimal Emissions Taxation

We examine the impact of an optimal emissions tax on research and development of emission reducing green technology (E-R&D) in the presence of R&D spillovers. We show that the size and effectiveness of the optimal emissions tax depends on the type of the R&D spillover: input or output spillover. In the case of R&D input spillovers (where only knowledge spillovers are accounted for), the optimal emissions tax required to stimulate R&D is always higher than when there is an R&D output spillover (where abatement and knowledge spillovers exist simultaneously). We also find that optimal emissions taxation and cooperative R&D complement each other when R&D spillovers are small, leading to lower emissions.
Effect of flow and sediment transport on feeding rate of the surface-deposit feeder Saccoglossus kowalevskii

We studied the feeding behavior of the surface-deposit feeder Saccoglossus kowalevsbl under oscillatory flows in the laboratory. Low oscillatory flow (peak speed = 10 cm S') without assoclated sediment transport had no effect on egestion rates in comparison to no-flow conditions. Moderate flows (peak speed = 15 and 17.5 cm S-') with incipient sediment trdnsport caused an increase in egestion rates of 35 to 100% relative to low-flow rates. High flow (peak speed = 25 cm S') with bulk sediment transport caused a decrease in egestion rates to one-third the low-flow rates. When compared to a functional response curve previously determined for S. kou-dl~vskii, our data show that under high flow S. kowalevskii does not feed at rates predicted by the availdble food resources (as measured by chlorophyll a concentration). Under moderate flow, S. kowalevskii is stimulated to feed at higher rates than predicted by the available food resources. And under low flow. S. kowalevskii appears to be unaffected by flow and continues feeding at rates predicted by the available food resources. Flow and the associated sediment flux thus lead to an envelope of egestiun rates about the no-flow functional response, indicating that the feed~ng behavior of S. kowalevskll 1s a function both of available food resources and flow regime. Laboratory still-water functional responses and simple ttreding models are thus inadequate. Accurate extrapolation and prediction require that flow and sediment flux parameters be incorporated in feeding models.
The Radiation Subprogram for GATE

1. Scientific objectives In the attempts to assess the influence of the smallerscale tropical weather systems on the larger-scale circulations and finally to find out how to parameterize the subscale effects, radiative processes play an important role. This can be considered from different viewpoints. The very general one is that radiation is the primary energy source for the generation and maintenance of atmospheric motion and the development of dynamic systems. Obviously there exists a considerable feedback of these systems to radiative fields, and the need for a better understanding of their interplay leads to a strong emphasis on studies about the interaction of radiative processes and the dynamics of the atmosphere. This interaction is of increasing importance with increasing
DETERMINING THE ACUTE TOXIC EFFECTS OF POLY(VINYLFERROCENIUM) SUPPORTED PLATINUM NANOPARTICLE (PT/PVF+ NPS) ON APIS MELLIFERA

Muhendislik nanomalzemelerin buyuk olcude uretimi ve kullanimi sonucu ve cevreye yayiliminin artmasinin yani sira cevre ve insan sagligi uzerine potansiyel tehlikeleri uzerine kaygilari arttirmistir. Bu nedenle, cevreye salinan nanopartikullerin indikator organizma kullanilmasiyla toksisitesinin tespit edilmeye ihtiyaci vardir. Bu calisma ile polivinilferrosen (PVF + ) - destekli platin (Pt) nanopartikulu (Pt/PVF + ),polivinilferrosen (PVF + ) ve K 2 PtCl 4 ‘un akut toksisitesi bal arisi (Apis Mellifera) kullanimiyla mukayeseli olarak degerlendirildi. LC50 degerleri sirasiyla 48 ve 96 saatlerde K 2 PtCl 4 icin 713.290 ve 6.899 mg/l Pt/PVF + nanopartikulu icin 12458374.000 ve 178.262 mg/l ve PVF + icin 148.153 ve 0.344 mg/l olarak hesaplanmistir. Bu degerlere baktigimizda, bu uc madde icin maruz kalma suresine bagli olarak toksik etki ciddi duzeyde artmistir.
Turmeric (Curcuma longa) Root Powder and Mannanoligosaccharides as Alternatives to Antibiotics in Broiler Chicken Diets

Two bio-assays were conducted to evaluate turmeric root powder and mannan-oligosaccharides (MOS) as alternatives to feed antibiotics for broilers. In one trial, one hundred and eighty 19-days old broilers assigned to 18 groups of 10 were fed on one of six experimental diets with three replicates during four weeks. The diets included a basal feed without additives and with either virginiamycin, MOS, or turmeric at 1, 2 and 3 g/kg, respectively. In the second trial, one hundred and forty four 21-days old broilers arranged in 16 groups of nine were fed on the first four diets with four replicates for a similar period. Virginiamycin, MOS and turmeric (1 g/kg) in the first trial generally improved the weight gain of broilers by 3.4, 6.2 and 5.3%, respectively. In the second trial they increased the weight gain significantly (p<0.05) by 8.8, 8.0 and 15.1%, respectively. Additives improved the feed efficiency up to 15.1% and carcass recovery up to 3.1% (p<0.05). Virginiamycin, MOS and turmeric (1 g/kg) markedly reduced the abdominal fat content from 1.91% BW in the control to 1.44, 0.97 and 1.2% BW, respectively, in the first trial. The corresponding values obtained in the second trial were 1.01, 0.55 and 0.6%, respectively as compared to 1.22% in the control group. All additives showed a remarkable inhibition of duodenal coliform bacteria, yeast and mould in the caecum, and all viable microbes in the ileum. A significant (p<0.05) improvement in energy and protein utilization could be recorded with supplemented diets except for high turmeric diets. Dietary 2 and 3 g/kg addition of turmeric reduced energy and protein utilization as well as fat deposition. Present results reveal that turmeric and MOS are satisfactory alternatives to antibiotics in broiler feeds. Both MOS and turmeric possess an antimicrobial effect in vivo. Turmeric may also depress fat deposition in broilers. (Asian-Aust. J. Anim. Sci. 2003. Vol 16, No. 10 : 1495-1500)
Multimodal Wheelchair Control for the Paralyzed People

Most serious accidents and injuries often end with various motoric disabilities usually resulting in a limited control of the muscles of various body parts and in some worst case scenario even the whole body. The associated governmental support programs of today are targeted at providing the technological means enabling the handicapped persons to have as independent life as possible. In the presented research authors concentrate on the development of a mobility device for the paralyzed people, trying to develop an effective multimodal HCI algorithm by combining the traditional input with speech and video recognition technologies into one associative "package". Paper reviews some of the associated research on the topic, a proposed algorithm for the multimodal wheelchair control and a scheme of implementation. Ill. 2, bibl. 17 (in English; abstracts in English and Lithuanian). http://dx.doi. org/10.5755/j01.eee. 111.5. 362
A Multidimensional Analysis of Poverty using the Fuzzy Set Approach. Evidence from Cameroonian data

In economics poverty has most often been assessed by resorting to monetary variables, and its manifestation perceived as dichotomous. This analysis is based upon the splitting of the population into poor and non-poor according to a poverty line. However, since the seminal works of Townsend (1979) and Sen (1985), the concept of poverty has evolved to incorporate aspects of well-being not captured by income measures alone. Moreover, dividing the population by means of an arbitrary poverty line is seen as unrealistic (Cerioli and Zani, 1990). The totally fuzzy approach of Cerioli and Zani (1990) is discussed and applied to Cameroon using data from the ECAM3 survey (2007). Monetary and non-monetary indicators are combined to estimate the fuzzy index of poverty (FIP). Furthermore, the paper contrasts the income headcount ratio with the fuzzy poverty estimates. The results reveal that poverty was higher in 2007, contrary to the country's official report of a lower poverty index for the same year, indicating that the traditional money metric approach does not accurately identify the most deprived in society.
BLIND SEPARATION AND DECONVOLUTION FOR REAL CONVOLUTIVE MIXTURE OF TEMPORALLY CORRELATED ACOUSTIC SIGNALS USING SIMO-MODEL-BASED ICA

We propose a new novel two-stage blind separation and deconvolution (BSD) algorithm for a real convolutive mixture of temporally correlated signals, in which a new Single-Input Multiple-Output (SIMO)-model-based ICA (SIMO-ICA) and blind multichannel inverse filtering are combined. SIMO-ICA consists of multiple ICAs and a fidelity controller, and each ICA runs in parallel under fidelity control of the entire separation system. SIMO-ICA can separate the mixed signals, not into monaural source signals but into SIMO-model-based signals from independent sources as they are at the microphones. Thus, the separated signals of SIMOICA can maintain the spatial qualities of each sound source. After the separation by SIMO-ICA, a simple blind deconvolution technique based on multichannel inverse filtering for the SIMO model can be applied even when the mixing system is the nonminimum phase system and each source signal is temporally correlated. The experimental results obtained under the reverberant condition reveal that the sound quality of the separated signals in the proposed method is superior to that in the conventional ICA-based BSD.
Exploring the TPACK of Taiwanese Secondary School Science Teachers Using a New Contextualized TPACK Model.

Technological pedagogical and content knowledge (TPACK) has been one of the steering theoretical concepts widely employed by researchers in order to examine and develop teachers' knowledge of integrating technology into teaching. Existing research on TPACK shows little about in-service secondary school science teachers' TPACK through a quantitative approach. The purposes of this study were to explore TPACK of secondary school science teachers using a new contextualized TPACK model. Associations between in-service teachers' TPACK and other factors were also examined. The TPACK questionnaire was mailed to secondary schools randomly selected across different parts of Taiwan, and return envelopes were provided for completed questionnaires. There were 1292 science teachers from secondary schools for factor analysis. An independent samples t -test was conducted when there were two groups (i.e., gender) to be compared for TPACK. ANOVA was conducted when there were more than two groups (i.e., science teaching experience) compared for TPACK. The results indicated that secondary science teachers' TPACK was statistically significant according to gender and teaching experience. With the consideration of other TPACK sub-components, male science teachers rated their technology knowledge significantly higher than did female teachers. Experienced science teachers tended to rate their content knowledge and pedagogical content knowledge in context (PCKCx) significantly higher than did novice science teachers. However, science teachers with less teaching experience tended to rate their technology knowledge and technological content knowledge in context (TPCKCx) significantly higher than did teachers with more teaching experience. The study shows how gender and teaching experience were influential factors for secondary school science teachers' TPACK. The research implications of this study are provided along with suggestions.
Examining student satisfaction with higher education services: using a new measurement tool

Purpose – This paper aims to investigate how students perceive the services they are offered at a German university and how satisfied they are with them.Design/methodology/approach – An evaluation study using a new tool to measure 15 dimensions of student satisfaction at an institutional level that covers most aspects of student life was used. It was decided to develop a new measurement tool as many existing surveys are poorly designed, lack standardization and give no evidence concerning reliability or validity. Questionnaires were handed out in eight lectures for the pilot study and 18 lectures for the main study. The response rate was 99 percent. A total of 374 students (pilot study) and 544 students (main study) filled in the newly developed questionnaires using Likert scales.Findings – The study gave a valuable insight into how students perceive the quality of the services offered at a university and how satisfied they are with these offerings. The results show that students' satisfaction with their .
The wolverine's niche: linking reproductive chronology, caching, competition, and climate

Abstract Wolverines are demographically vulnerable and susceptible to impacts from climate change. Their distribution is correlated with persistent spring snow cover, but food-based explanations for this relationship have not been explored. We synthesize information on the timing of both wolverine reproductive events and food availability to improve our understanding of the behaviors, habitat features, and foods that influence reproductive success. Wolverine births are constrained to a brief period of the year and occur at an earlier date than other nonhibernating, northern carnivores. Our examination suggests that this timing is adaptive because it allows wolverines to take advantage of a cold, low-productivity niche by appending the scarce resources available during winter to the brief period of summer abundance. The wolverine's bet-hedging reproductive strategy appears to require success in 2 stages. First, they must fuel lactation (February–April) with caches amassed over winter or acquisition of a sudden food bonanza (e.g., winter-killed ungulates); otherwise, early litter loss occurs. Next, they must fuel the majority of postweaning growth during the brief but relatively reliable summer period of resource abundance. The 1st stage is likely dependent on scavenged ungulate resources over most of the wolverine's range, whereas the 2nd stage varies by region. In some regions the 2nd stage may continue to be focused on scavenging ungulate remains that have been provided by larger predators. In other regions the 2nd stage may be focused on predation by wolverines on small prey or neonatal ungulates. During all seasons and regions, caching in cold, structured microsites to inhibit competition with insects, bacteria, and other scavengers is likely a critical behavioral adaptation because total food resources are relatively limited within the wolverine's niche. Habitat features that facilitate caching, e.g., boulders and low ambient temperatures, are likely important and could be related to the limits of distribution. This “refrigeration-zone” hypothesis represents a food-based explanation for the correlation between wolverine distribution and persistent spring snow cover. Understanding regional differences in foods that fuel reproduction and underlying causes to the limits of distribution could be important for maintaining wolverine populations in the future.