Miracle-dz/UniFAR-FTUs huggingface dataset:
From the Attempt of Certain Classical Reformulations of Quantum Mechanics to Quasi-Probability Representations

The concept of an injective affine embedding of the quantum states into a set of classical states, i.e., into the set of the probability measures on some measurable space, as well as its relation to statistically complete observables is revisited, and its limitation in view of a classical reformulation of the statistical scheme of quantum mechanics is discussed. In particular, on the basis of a theorem concerning a non-denseness property of a set of coexistent effects, it is shown that an injective classical embedding of the quantum states cannot be supplemented by an at least approximate classical description of the quantum mechanical effects. As an alternative approach, the concept of quasi-probability representations of quantum mechanics is considered.
Innovation support for new technology‐based firms: the Swedish Teknopol approach

Small and medium sized firms in general and new technology-based firms in particular, serve as promoters of future economical growth. Therefore, it is of crucial importance to understand and satisfy their needs for innovation support services in regard to both the type of service and quality of delivery e.g. confidentiality, speed & rpar;. 1 Drawing upon a database of 259 new technology-based firms NTBF and 106 researchers, we have identified four needs bundles: marketing, technology, financing and soft service support. We have evaluated the effectiveness of the Swedish Teknopol scheme to meet these needs based upon 35 in-depth interviews with NTBFs. The conclusions of the evaluation are presented both for policy makers and NTBF managers.
PENGARUH PERSEPSI MAHASISWA TENTANG STATUS SOSIAL GURU DAN PROGRAM PENDIDIKAN PROFESI GURU (PPG) TERHADAP MOTIVASI MENJADI GURU

Penelitian ini bertujuan untuk mengetahui pengaruh persepsi mahasiswa tentang status sosial guru dan program pendidikan profesi guru (PPG) terhadap motivasi menjadi guru pada mahasiswa Program Studi Pendidikan Ekonomi Universitas Negeri Yogyakarta. Penelitian ini merupakan jenis penelitian ex-post facto dan penelitian asosiatif kausal dengan pendekatan kuantitatif. Populasi dalam penelitian ini adalah mahasiswa Program Studi Pendidikan Ekonomi Universitas Negeri Yogyakarta tahun angkatan 2011-2013 sebanyak 263 mahasiswa. Jumlah sampel 148 orang mahasiswa yang diambil dengan teknik proportional stratified random sampling. Teknik pengumpulan data menggunakan kuesioner dan dokumentasi, sedangkan teknik analisis data menggunakan analisis regresi ganda. Hasil penelitian dengan taraf signifikansi 5% menunjukkan bahwa: (1) Persepsi mahasiswa tentang status sosial guru berpengaruh positif dan signifikan terhadap motivasi menjadi guru. Hal ini ditunjukkan dari hasil perhitungan nilai thitung sebesar 5,430, koefisien regresi (b1) sebesar 0,490 dan nilai signifikansi 0,05. (2) Persepsi mahasiswa tentang program PPG berpengaruh positif dan signifikan terhadap motivasi menjadi guru. Hal ini ditunjukkan dari hasil perhitungan nilai thitung sebesar 4,729, koefisien regresi (b2) sebesar 0,173 dan nilai signifikansi 0,05. (3) Persepsi mahasiswa tentang status sosial guru dan program PPG secara simultan berpengaruh positif dan signifikan terhadap motivasi menjadi guru. Hal ini ditunjukkan dari hasil perhitungan nilai Fhitung sebesar 40,253, dengan nilai signifikansi F sebesar 0,05. Sumbangan Relatif (SR) persepsi mahasiswa tentang status sosial guru adalah sebesar 55,04% dan persepsi mahasiswa tentang program PPG adalah sebesar 44,96%. Sementara itu, Sumbangan Efektif (SE) persepsi mahasiswa tentang status sosial guru adalah sebesar 19,66% dan persepsi mahasiswa tentang program PPG adalah sebesar 16,06%. Besarnya Sumbangan Efektif (SE) dari kedua variabel bebas terhadap variabel terikat adalah sebesar 35,72%, sedangkan sisanya sebesar 64,28% dipengaruhi oleh variabel lain.
An Analysis of Optical Flow 8x8 Patches

We apply computing topological method to qualitatively analyze space of 8 8  optical flow patches. We experimentally prove that there exist subspaces of 8 8  optical flow patches that are topologically equivalent to a circle. For the space of 8 8  optical flow patches, we cannot find its subspaces having homology as that of the Klein bottle.
From the SelectedWorks of Lorán Chollete 2008 The Risk Components of Liquidity

Does liquidity risk differ depending on our choice of liquidity proxy? Unlike literature that considers common liquidity variation, we focus on identifying different components of liquidity, statistically and economically, using more than a decade of US transaction data. We identify three main statistical liquidity factors which are utilized in a linear asset pricing framework. We motivate a correspondence of the statistical factors to traditional dimensions of liquidity as well as the notion of order and trade based liquidity measures. We find evidence of multiple liquidity risk premia, but only a subset of the financial liquidity factors are associated with significant risk premia. These are the factors that we relate to the dimensions of immediacy and resilliency, while the depth dimension does not command a risk premium in any of the models. Our results suggests caution when choosing liquidity variables in asset pricing applications, since liquidity premia may be reflected in only some dimensions of liquidity.
Uncertainty Quantification and Reduction of Molecular Dynamics Models

Molecular dynamics (MD) is an important method underlying the modern field of Computational Materials Science. Without requiring prior knowledge as inputs, MD simulations have been used to study a variety of material problems. However, results of molecular dynamics simulations are often associated with errors as compared with experimental observations. These errors come from a variety of sources, including inac- curacy of interatomic potentials, short length and time scales, idealized problem description and statistical uncertainties of MD simulations themselves. This chapter specifically devotes to the statistical uncertainties of MD simulations. In particular, methods to quantify and reduce such statistical uncertainties are demonstrated using a variety of exemplar cases, including calculations of finite temperature static properties such as lattice constants, cohesive energies, elastic constants, dislocation energies, ther- mal conductivities, surface segregation and calculations of kinetic properties such as diffusion parameters. We also demonstrate that when the statistical uncertainties are reduced to near zero, MD can be used to validate and improve widely used theories.
Fermi Non-detections of Four X-Ray Jet Sources and Implications for the IC/CMB Mechanism

Since its launch in 1999, the Chandra X-ray observatory has discovered several dozen X-ray jets associated with powerful quasars. In many cases, the X-ray spectrum is hard and appears to come from a second spectral component. The most popular explanation for the kpc-scale X-ray emission in these cases has been inverse-Compton (IC) scattering of Cosmic Microwave Background (CMB) photons by relativistic electrons in the jet (the IC/CMB model). Requiring the IC/CMB emission to reproduce the observed X-ray flux density inevitably predicts a high level of gamma-ray emission, which should be detectable with the Fermi Large Area Telescope (LAT). In previous work, we found that gamma-ray upper limits from the large-scale jets of 3C 273 and PKS 0637−752 violate the predictions of the IC/CMB model. Here, we present Fermi/LAT flux density upper limits for the X-ray jets of four additional sources: PKS 1136–135, PKS 1229–021, PKS 1354+195, and PKS 2209+080. We show that these limits violate the IC/CMB predictions at a very high significance level. We also present new Hubble Space Telescope observations of the quasar PKS 2209+080 showing a newly detected optical jet, and Atacama Large Millimeter/submillimeter Array band 3 and 6 observations of all four sources, which provide key constraints on the spectral shape that enable us to rule out the IC/CMB model.
Effect of different levels of supplemental yeast on performance indices, serum enzymes and electrolytes of broiler chickens

The aim of the study was to investigate the effect of supplemental probiotic preparation on performance indices, serum enzymes and electrolytes of broiler chickens. Two hundred (200) day-old Marshall broiler chicks were randomly selected and distributed based on the level of supplementation into four groups of 50 chicks each (Control, C; E10.5%, E21.5% and E32.0%). Chickens fed 2.0% probiotic had a significantly higher body weight when compared with the control group. Activity of alanine aminotransferase differed significantly in the group E10.5%, and especially (p<0.01) in the group E11.5%. Alkaline phosphatase activity decreased significantly (p<0.05), when compared with that of the control group. Serum calcium and phosphorus concentrations in experimental groups were significantly higher. Potassium concentration in experimental group rose significantly (p<0.05), when compared with that of the control broiler chickens. In conclusion, supplementing broiler feeds with 2.0% yeast probiotic improved performance indices, serum enzyme activities and enhanced the maintenance of electrolyte homeostasis in broiler chickens. Keywords: Body weight, feed conversion ratio, serum biochemistry, Saccharomyces cerevisiae, broiler chicken. African Journal of Biotechnology Vol. 12(35), pp. 5480-5485
The effects of the PDCA cycle and OJT on workplace learning

In the present article, we examined the effects of the plan-do-check-act (PDCA) cycle and on-the-job-training (OJT) on workplace learning. We defined workplace learning based on the concept of an organizational learning cycle. Using survey data from a Japanese fire and marine insurance company, we found that PDCA, OJT (empowerment), and reflective communication had positive effects on workplace learning. These results suggest that quality management, empowerment and reflective practice may help to significantly improve workplace learning. We also discuss theoretical and managerial implications of this study.
Effects of Prohexadione-Ca, Ethephon, and Water Stress on Growth and Productivity of 'Golden Delicious'/M.9 Apple

Prohexadione-calcium (Pro-Ca), ethephon and transient water stress were evaluated in a factorial design, as potential inhibitors of early-season shoot growth of high density orchard management of apple (Malus domestica Borkh.) trees. In the experiment, water stress was imposed to one-half of the 7-year-old ‘Golden Delicious’/M.9 apple trees in each of 5 blocks, by stopping irrigation for 3 weeks between 35 and 56 days after full bloom (AFB). Within each whole unit, the following Pro-Ca and ethephon treatments were randomly allocated at 2 × 2 factorial: a) 0 or 250 mg? L -1 a.i. Pro-Ca applied at 28 days AFB and b) 0 or 300 mg? L -1 a.i. ethephon applied twice (35 and 71 days AFB). All trees were hand thinned to king flowers prior to treatments. Vegetative shoot growth was markedly reduced by Pro-Ca, with its effect being obvious within 14 days after application, while ethephon and water stress treatments were less effective. Pro-Ca had no effect on fruit set and yield but slightly increased fruit size. Ethephon substantially reduced the fruit size and yield but had no effect on fruit set. Water stress reduced fruit set, fruit size and yield. With regard to fruit quality, Pro-Ca did not influence fruit shape, flesh firmness and soluble solids contents (SSC) but slightly reduced titratable acidity. Ethephon had no effect on fruit shape but increased firmness, SSC and acidity, while water stress did not influence these fruit quality attributes. Dry weight of dormant spur buds was reduced by both Pro-Ca and water stress, while increased by ethephon. The larger dormant buds led to the larger spur flowers at the tight cluster stage the following spring. Return flowering was promoted only by ethephon, especially on previous season’s shoots. There were no significant interactions between Pro-Ca and ethephon or water stress on most variables observed in this study.
Consumption Habit and International Stock Returns

We use the consumption-based asset pricing model with habit formation to study the predictability and cross section of returns from the international equity markets. We find that the predictability of returns from many developed countries' equity markets is explained in part by changing prices of risks associated with consumption relative to habit at the world as well as local levels. We also provide an exploratory investigation of the cross-sectional implications of the model under the complete world market integration hypothesis and find that the model performs mildly better than the traditional consumption-based model, the unconditional and conditional world CAPMs and a three-factor international asset pricing model.
Ocean-bottom seismograph tomographic experiments—a consideration of acquisition geometries vs. resources

SUMMARY Over the last 20‐30 yr numerous seismic images of the Earth’s crust have revealed details of its gross structure, including intra-crustal layering, the geometry of that layering and its composition. As more and higher quality studies are undertaken it is becoming apparent that identified structures have a greater degree of 3-D variability than first anticipated. Thus, the methodology of crustal imaging by seismic means has also developed into the third dimension with a tomographic approach now being widely adopted, particularly so in the marine environment. Such surveys not only focus on mapping the finer scale 3-D structural variability, they also aim to achieve sufficient density of azimuthal coverage and resolution to address preferential orientation patterns of features such as porosity, fracturing and faulting. Recent developments in technology, and consequently cheaper construction and deployment costs of instruments, have resulted in an expansion in the number of instruments available in ocean-bottom seismometer pools. Consequently, individual experiments are being designed to accommodate the maximum number of instruments available and this, coupled with dense grids of shot profiles, significantly impacts on survey cost. In this paper we consider a variety of approaches to achieving the best resolution of detail for minimal associated cost of acquisition, and for instrument pools of various sizes. A number of different geometries are compared, including example grid designs in current use. Comparison of resolution tests and relative costings for a range of acquisition geometries suggest that, if instrument numbers and/or funds are limited, the most cost effective ways of achieving the desired target resolution may be by (1) shooting additional shot profiles at the expense of deploying more instruments and (2) multiple, overlapping deployments of a small geometry, tailored in shape to the target structure and depth.
FFT-based dynamic range compression

Many of the dynamic range compressor (DRC) designs that are deployed in the marketplace today are constrained to operate in the time-domain; therefore, they offer only temporally dependent control of the amplitude envelope of a signal. Designs that offer an element of frequency dependency, are often restricted to perform speciﬁc tasks intended by the developer. Therefore, in order to realise a more ﬂexible DRC implementation, this paper proposes a generalised time-frequency domain design that accommodates both temporally-dependent and frequency-dependent dynamic range control; for which an FFT-based implementation is also presented. Examples given in this paper reveal how the design can be tailored to perform a variety of tasks, using simple parameter manipulation; such as frequency-depended ducking for automatic-mixing purposes and high-resolution multi-band compression.
Student interest as a key driver of engagement for first year students.

Much has been written about the challenges faced by first year students at university. This paper adds to that literature by exploring student interest, known to be associated with persistence and learning. Using data from a qualitative study following 19 students through their first year at a regional Australian university, the paper examines the antecedents and consequences of student interest. Findings show the students’ existing individual interests and goals interact with the teaching environment to trigger situational interest. Situational interest then enhances behavioural and cognitive engagement and leads to better learning and grades. Perceived relevance of the learning task is shown to be a particularly important determinant of student interest. Students’ emotions, self-efficacy, and their sense of belonging are also important factors in explaining the links between student interest, the teaching environment, and student engagement. ; ;
Internal risk components validation : indicative benchmarking of discriminatory power for LGD models

In this study, we attempt to find a systematic approach to set indicative benchmark values for the discriminatory power of an LGD model measured via the Accuracy Ratio (AR), which is a summary statistic for the discriminatory power of a classification model. LGD models are relatively new compared to PD models, but the last years have seen a significant number of papers discussing the LGD model. Unfortunately, there is not yet an approach which indicates whether a model's performance is sufficient in terms of discriminatory power. For these reasons the bank found it difficult determining what a sufficient level of discriminatory power for an LGD model is. We review the method that has been developed by the bank for benchmarking discriminatory power via the AR, while we also develop and propose our own new approach to set indicative benchmarks. Our approach provides insights in how the AR varies under specific portfolio characteristics and illustrate that benchmarks should be determined dependent on these characteristics.
Coastal flood risk assessment and coastal zone management case study of Seberang Perai and Kuantan Pekan in Malaysia

The rise of sea level increases the risk of coastal flooding by increasing the probability of occurrence of flood event at a given height. The essence of coastal planning and management in the future relies on an accurate coastal flood risk assessment with regards to sea level rise. Through the set up of flood risk assessment model in Geographic Information System (GIS) using Shuttle Radar Topography Mission (SRTM) elevation data, flood height data, and sea level rise estimate based on IPCC high emission scenario, areas at risk of inundation at Seberang Perai (highly developed area) and Kuantan-Pekan (less developed area) in Malaysia were identified. Flood maps were produced subsequently. Damage costs associated with a given flood event were calculated through the identification land value of different land use categories. Four flood management tools had been utlisied in the study. They include “Do nothing”, “Flood insurance”, “No development” and “Hold the line”. The costeffectiveness of these flood management tools was evaluated over a course of 200year based on a 1 in 200-year flood event for both study locations. Results from the study show that the effectiveness of flood management tools varies with location and land use pattern. However, in both locations, “Flood insurance” is concluded to be the most economically viable option for coastal zone management in Malaysia in the future as the damage cost incurred from a flood event is effectively reduced via the implementation of “Flood insurance” policy. Flood insurance is currently not a common practice in Malaysia. However, in order to reduce the uncertaities resulted from flood risk assessment, the study recommends more accurate elevation data to be captured for future analysis. Besides, it is also recognised that there is a need for Malaysia to maintain long term measurement of sea level.
Testing for the Stability of Money Demand Function in Nigeria

This paper empirically examined the broad money demand function and its stability in Nigeria for the period 1986Q1 to 2010Q4 using the Autoregressive Distributed Lag (ARDL) Bounds testing procedure. The aim is to ascertain whether the recent macroeconomic developments in the country from the inception of the Structural Adjustment Programme (SAP) in 1986, have resulted in the real broad money demand becoming structurally unstable, and whether the stability of the money demand function supports the choice of M 2 as a viable instrument for policy implementation in Nigeria. The empirical results indicate that a long-run relationship exists between M 2 money aggregate and its determinants during this period, and that M 2 money demand in Nigeria is stable. The CUSUM and CUSUMQ test conducted confirm that the short and long run parameters of the real broad money demand function are robust, and exhibit remarkable stability. This finding validates the use of M 2 monetary aggregate as a nominal anchor for monetary policy implementation. It was therefore recommended that monetary authority should target M 2 monetary aggregate in regulating domestic prices and stimulating economic activity in Nigeria. Keywords: Money Demand, Stability, ARDL Model, Bounds Test.
Hierarchical Fragmentation in the Perseus Molecular Cloud: From the Cloud Scale to Protostellar Objects

We present a study of hierarchical structure in the Perseus molecular cloud, from the scale of the entire cloud ( pc) to smaller clumps (∼1 pc), cores (∼0.05–0.1 pc), envelopes (∼300–3000 au), and protostellar objects (∼15 au). We use new observations from the Submillimeter Array (SMA) large project “Mass Assembly of Stellar Systems and their Evolution with the SMA (MASSES)” to probe the envelopes, and recent single-dish and interferometric observations from the literature for the remaining scales. This is the first study to analyze hierarchical structure over five scales in the same cloud complex. We compare the number of fragments with the number of Jeans masses in each scale to calculate the Jeans efficiency, or the ratio of observed to expected number of fragments. The velocity dispersion is assumed to arise either from purely thermal motions or from combined thermal and non-thermal motions inferred from observed spectral line widths. For each scale, thermal Jeans fragmentation predicts more fragments than observed, corresponding to inefficient thermal Jeans fragmentation. For the smallest scale, thermal plus non-thermal Jeans fragmentation also predicts too many protostellar objects. However, at each of the larger scales thermal plus non-thermal Jeans fragmentation predicts fewer than one fragment, corresponding to no fragmentation into envelopes, cores, and clumps. Over all scales, the results are inconsistent with complete Jeans fragmentation based on either thermal or thermal plus non-thermal motions. They are more nearly consistent with inefficient thermal Jeans fragmentation, where the thermal Jeans efficiency increases from the largest to the smallest scale.
RESPONSE OF SOIL AND FOLIAR APPLICATION OF SILICON AND MICRO NUTRIENTS ON LEAF NUTRIENT STATUS OF SAPOTA

The field experiment was conducted to know the response of soil and foliar application of silicon and micronutrients on nutrient status of sapota at College of Horticulture Mudigere, Chikamagalur district during the year 20102012. Silicon sources like potassium silicate and calcium silicate and micronutrient contents like solubor and kiecite –G were used. Macro nutrients like nitrogen (1.583 %), phosphorous (0.175 %) and the potassium (1.20 %) and silicon content (1.20 %) in leaf were recorded highest with potassium silicate spray with 8 ml per litre. Whereas micronutrient content has not increased considerably with respect to application of silicon sources. The maximum content of iron (179.89 ppm), copper (7.61 ppm), zinc (35.13 ppm) and manganese (91.16 ppm) was recorded in the leaf due to foliar spray of micronutrients at 4 ml per litre. As macro nutrient and silicon content was more in the treatment with foliar application of potassium silicate at 8 ml per litre resulted in more yield and quality of fruits.