Miracle-dz/UniFAR-FTUs huggingface dataset:
THE INFLUENCE OF A SIX MONTH AEROBICS PROGRAMME ON MIDDLE AGED WOMEN'S AEROBIC CAPACITY AND BODY COMPOSITION

Background: Regular physical activity has a positive influence on increasing physical fitness, which has considerable impact on health and, consequently, on the quality and length of human life. Objective: The aim of the study was to assess the influence of six months of physical endurance activity on the body composition and aerobic capacity of middle aged women. Methods: Forty women between the ages of 40 to 55 years with a sedentary occupation and without regular physical activity took part in the study. The experimental group (n = 21) participated in dance aerobics lessons combined with strength training three times a week for 6 months, during exercise heart rate was monitored by heart rate monitors. The control group (n = 19) did not change their lifestyle during the observed period. All participants passed an all-out bicycle ergometer test to exhaustion and anthropometric measurement (bioelectrical impedance analysis method) before and after this six month program. Results: In the experimental group, after finishing the intervention programme, positive changes were perceptible in almost all monitored parameters; specifically an increase of fat free mass in the lower limbs, peak oxygen consumption, and the duration of the exercise test was statistically significant. Although, in the control group, some monitored parameters changed almost identically; the amount of fat free mass decreased and the duration of the exercise test diminished. Analysis of variance at repeated measurements confirmed that the intervention programme had a statistically significant and positive effect on the duration of the exercise test and on the amount of muscle and fat free mass in the right lower limb. Conclusions: Physical intervention had a statistically important positive influence on the amount of muscle and fat free mass in the right lower limb and on the duration of the exercise test (also logically significant). The results were affected by the women's poor adherence to the aerobics programme, large differences in their motivation and the relatively low training intensity. Despite some inconsistent results, it can be said that an intervention programme in a style of aerobic dance combined with strengh training is suitable physical activity for increasing physical fitness in sedentary middle aged women.
New Mineral with Modular Structure Derived from Hatrurite from the Pyrometamorphic Rocks of the Hatrurim Complex: Ariegilatite, BaCa12(SiO4)4(PO4)2F2O, from Negev Desert, Israel

Ariegilatite, BaCa12(SiO4)4(PO4)2F2O (R 3 ¯ m, a = 7.1551(6) A, c = 41.303(3) A, V = 1831.2(3) A3, Z = 3), is a new member of the nabimusaite group exhibiting a modular intercalated antiperovskite structure derived from hatrurite. It was found in a few outcrops of pyrometamorphic rocks of the Hatrurim Complex located in the territories of Israel, Palestine and Jordan. The holotype specimen is an altered spurrite marble from the Negev Desert near Arad city, Israel. Ariegilatite is associated with spurrite, calcite, brownmillerite, shulamitite, CO3-bearing fluorapatite, fluormayenite-fluorkyuygenite and a potentially new mineral, Ba2Ca18(SiO4)6(PO4)3(CO3)F3O. Ariegilatite is overgrown and partially replaced by stracherite, BaCa6(SiO4)2[(PO4)(CO3)]F. The mineral forms flat disc-shaped crystals up to 0.5 mm in size. It is colorless, transparent, with white steaks and vitreous luster. Optically, ariegilatite is uniaxial, negative: ω = 1.650(2), e = 1.647(2) (λ = 589 nm). The mean composition of the holotype ariegilatite, (Ba0.98K0.01Na0.01)Σ1(Ca11.77Na0.08Fe2+0.06Mn2+0.05Mg0.04)Σ12(Si3.95Al0.03Ti0.02)Σ4(P1.70C0.16Si0.10S6+0.03V0.01)Σ2F2. 04O0.96, is close to the end-member formula. The structure of ariegilatite is described as a stacking of the two modules {F2OCa12(SiO4)4}4+ and {Ba(PO4)2}4− along (001). Ariegilatite, as well as associated stracherite, are high-temperature alteration products of minerals of an early clinker-like association. These alterations took place under the influence of pyrometamorphism by-products, such as gases and fluids generated by closely-spaced combustion foci.
Optimal Cruise Control Using Genetic Algorithm And Simulated Annealing Tuned PID Controller.

This paper shows the execution correlation between the different delicate figuring methods utilized for advancement of the PID controllers, executed for velocity control system for the cruise control system. PID controllers are widely utilized as a part of mechanical control in view of their straight forwardness and heartiness, however when mechanical control is risked by outer glitches, prompts the shakiness of the system. PID controller streamlining utilizing delicate registering calculations lays accentuations on acquiring the best conceivable PID parameters for enhancing the solidness of the system. The PID controller has been actualized for pace control of a system and the outcomes got from improvement utilizing delicate registering are contrasted and the ones got from the Ziegler-Nichols strategy, and relatively better results are gotten in Genetic algorithm case.
Variation function fitting method based on particle swarm optimization

In the Kriging interpolation method, different theory models of variation function are selected and fitted. There are many common variation function models, such as spherical model, index model, Gaussian model and so on. As these variation function models are non-linear, non-linear model are converted to linear model when these variation function models are solved. Different variation function models with different conversion methods are lack of generality in the process of Kriging interpolation. Particle swarm optimization algorithm with the advantages of global optimal solution can be directly used to solve non-linear fitting equation. In this paper, variation function model based on particle swarm optimization algorithm is fitted. Experiment shows that it is appropriate for fitting variable function based particle swarm optimization algorithm.
Consumer price rigidities in Lesotho: the role of outlet characteristics and competition

This paper extends the microeconomic empirical evidence on price-setting in emerging economies using micro price data and outlet survey data for Lesotho, a small lowincome landlocked economy in Southern Africa. The paper looks at how price-setting behaviour differs by outlet size, location and type. It also analyses the various sources of price changes and price rigidities, including the effect of competition on the frequency of price changes. Our results reveal many similarities and some important differences in pricesetting behaviour between outlets in Lesotho and those in advanced economies. The flexibility of prices in Lesotho is comparable to that of the US, but higher than in South Africa. Prices change more often in large outlets and less frequently in outlets where labour costs are an important component of costs. Implicit contracts with consumers and coordination failure in the setting of prices across competitors rank highly as sources of price rigidity, while menu costs and explicit contracts are found to be relatively unimportant. Cost shocks have a stronger influence on price increases than price decreases, while shocks to market conditions (demand and competitor's price) are more relevant for price decreases than for price increases. These results corroborate findings in advanced economies. However, contrary to theoretical expectations and other empirical findings, no consistent relationship between the frequency of price changes and the perceived competition in the market is found.
Assessment of the ecosystem health of the Yellow River Estuary based on the pressure-state-response model

As the main channel of matter exchange between riverine and marine environments, estuarine ecosystems have been subjected to growing environmental interference and disturbance. Anthropogenic activities and the interactions between land and sea considerably affect estuarine ecosystems and health, and they have resulted in challenges for ecosystem management. Ecosystem health assessment, a new method of ecosystem assessment, determines the current ecosystem structure and function, and provides substantial information necessary for effective ecosystem management. Therefore, for the management of the Yellow River Estuary, a pressure⁃state⁃response (PSR) method was used to assess the health status of the ecosystem. The estuary and the adjacent marine and terrestrial ecosystems were considered an entity under the broad definition of estuarine ecosystems. An ecosystem health assessment indicator system was developed, taking external
Two-phase flow problem coupled with mean curvature flow

We prove the existence of generalized solution for incompressible and viscous non-Newtonian two-phase fluid flow for spatial dimension 2 and 3. The phase boundary moves along with the fluid flow plus its mean curvature while exerting surface tension force to the fluid. An approximation scheme combining the Galerkin method and the phase field method is adopted.
GoCardio: A novel approach for mobility in cardiac monitoring

Remote cardiac monitoring of patients helps to improve their quality of life, as it avoids frequent commuting to the health center. Patients are thus able to continue with their everyday life while at the same time they remain non-intrusively monitored. However, current solutions in remote cardiac monitoring are not massively found, due in part to their high price, as well as the difficulties encountered when deploying them in real world clinical environments. In this paper we present the general overview of a novel telemonitoring system for cardiologic patients, covering both the hardware and software perspectives. Our main objective is to provide an economically feasible solution that preserves quality and efficacy. At the sensor level, we propose an innovative easy-to-wear hardware system that measures the complete 12 ECG leads and the activity patterns of patients. We also propose the architecture of a modular software solution for supporting patient monitoring. Our system offers advanced visualization capabilities mainly based on Visual Analytics techniques and also mining of the collected cardiac data. Our approach is still in its development phase and hence in this article we introduce the basic concepts that have been taken into account for the implementation of the first prototypes.
Continuous-Time Mean-Variance Portfolio Selection under the CEV Process

We consider a continuous-time mean-variance portfolio selection model when stock price follows the constant elasticity of variance (CEV) process. The aim of this paper is to derive an optimal portfolio strategy and the efficient frontier. The mean-variance portfolio selection problem is formulated as a linearly constrained convex program problem. By employing the Lagrange multiplier method and stochastic optimal control theory, we obtain the optimal portfolio strategy and mean-variance efficient frontier analytically. The results show that the mean-variance efficient frontier is still a parabola in the mean-variance plane, and the optimal strategies depend not only on the total wealth but also on the stock price. Moreover, some numerical examples are given to analyze the sensitivity of the efficient frontier with respect to the elasticity parameter and to illustrate the results presented in this paper. The numerical results show that the price of risk decreases as the elasticity coefficient increases.
Context‐based Chemistry: The Salters approach

This paper describes briefly the development and key features of one of the major context‐based courses for upper high school students, Salters Advanced Chemistry. It goes on to consider the research evidence on the impact of the course, focusing on teachers’ views, and, in particular, on students’ affective and cognitive responses. The research evidence indicates that students respond positively to the context‐based approach adopted in Salters Advanced Chemistry, and that they develop levels of understanding of chemical ideas comparable with those taking more conventional courses. Finally, issues to do with the development and evaluation of large‐scale curriculum projects are considered.
Rapid fluorescence imaging of miRNAs in human cells using templated Staudinger reaction

It is generally accepted that microRNAs (miRNAs) play a crucial role in gene expression regulation and that their aberrant expression is intimately linked with pathologies, most notably cancer. There is thus significant interest in detecting and quantifying these important regulators. Herein, we report the fluorescence imaging of miRNAs within a few hours using a nucleic-acid templated Staudinger reaction. A good correlation between the level of miRNAs and the fluorescence intensity was observed across different cell lines. This method was shown to also be applicable for suspended cells with fluorescence quantification by flow cytometry.
Corrosion pit depth extreme value prediction from limited inspection data

Passive alloys like stainless steels are prone to localized corrosion in chlorides containing environments. The greater the depth of the localized corrosion phenomenon, the more dramatic the related damage that can lead to a structure weakening by fast perforation. In practical situations, because measurements are time consuming and expensive, the challenge is usually to predict the maximum pit depth that could be found in a large scale installation from the processing of a limited inspection data. As far as the parent distribution of pit depths is assumed to be of exponential type, the most successful method was found in the application of the statistical extreme-value analysis developed by Gumbel. This study aims to present a new and alternative methodology to the Gumbel approach with a view towards accurately estimating the maximum pit depth observed on a ferritic stainless steel AISI 409 subjected to an accelerated corrosion test (ECC1) used in automotive industry. This methodology consists in characterising and modelling both the morphology of pits and the statistical distribution of their depths from a limited inspection dataset. The heart of the data processing is based on the combination of two recent statistical methods that avoid making any choice about the type of the theoretical underlying parent distribution of pit depths: the Generalized Lambda Distribution (GLD) is used to model the distribution of pit depths and the Bootstrap technique to determine a confidence interval on the maximum pit depth.
Embedded analytics of animal images

Due to the large increase of image data in animal surveillance, an effective and efficient way of labeling said data is required. Over the past few years the Climate-ecological Observatory for Arctic Tundra (COAT) project have deployed dozens of cameras in eastern Finnmark, Norway during winter, which have resulted in a large volume of wildlife images which is used to document the effects of climate change on animal ecosystems in the area. The images are manually labeled by biologists, and is a time-consuming task. This thesis presents the architecture, design and implementation of an image classification system to be used with the camera traps for in-situ analytics on accumulated image data for periodical updates. The system will automatically classify and label the images taken by the cameras. Using state-of-the-art Convolutional Neural Networks (CNNs) we train the system on previously labeled coat image data. We train four different models based on the MobileNet architecture. The models vary in number of weights, and input image resolution. Results show that we can automatically classify images on a small computer like the Raspberry Pi, with an accuracy of 81.1% at 1.17 fps, and a model size of 17Mb. In comparison a GPU computer achieves the same accuracy and model size, but it has a classification speed of 12.5 fps.
Variability in copepod trophic levels and feeding selectivity based on stable isotope analysis in Gwangyang Bay of the southern coast of the Korean Peninsula

Abstract. Trophic preference (i.e., food resources and trophic levels) of different copepod groups was assessed along a salinity gradient in the temperate estuarine Gwangyang Bay of Korea, based on seasonal investigation of taxonomic results in 2015 and stable isotope analysis incorporating multiple linear regression models. The δ13 C and δ15 N values of copepods in the bay displayed significant spatial heterogeneity as well as seasonal variations, which were indicated by their significant relationships with salinity and temperature, respectively. Both spatial and temporal variations reflected those in isotopic values of food sources. The major calanoid groups (marine calanoids and brackish water calanoids) had a mean trophic level of 2.2 relative to nanoplankton as the basal food source, similar to the bulk copepod assemblage; however, they had dissimilar food sources based on the different δ13 C values. Calanoid isotopic values indicated a mixture of different genera including species with high δ15 N values (e.g., Labidocera, Sinocalanus, and Tortanus), moderate values (Calanus sinicus, Centropages, Paracalanus, and Acartia), and relatively low δ15 N values (Eurytemora pacifica and Pseudodiaptomus). Feeding preferences of different copepods probably explain these seasonal and spatial patterns of the community trophic niche. Bayesian mixing model calculations based on source materials of two size fractions of particulate organic matter (nanoplankton at 20 µ m vs. microplankton at 20–200 µ m) indicated that Acartia and Centropages preferred large particles; Paracalanus, Calanus, Eurytemora, and Pseudodiaptomus apparently preferred small particles. Tortanus was typically carnivorous with low selectivity on different copepods. Labidocera preferred marine calanoids Acartia, Centropages, and harpacticoids; on the other hand, Sinocalanus and Corycaeus preferred brackish calanoids Paracalanus and Pseudodiaptomus. Overall, our results depict a simple energy flow of the planktonic food web of Gwangyang Bay: from primary producers (nanoplankton) and a mixture of primary producers and herbivores (microplankton) through omnivores (Acartia, Calanus, Centropages, and Paracalanus) and detritivores (Pseudodiaptomus, Eurytemora, and harpacticoids) to carnivores (Corycaeus, Tortanus, Labidocera, and Sinocalanus).
Analyzing the Tradeoff Between Ratings Accuracy and Stability

Credit rating agencies state that their clients prefer ratings that are stable as well as accurate. While accuracy could in some cases be increased by tracking market-based credit signals more closely, the required increase in rating volatility might be substantial. In this article, we discuss why users of the rating system may value both accuracy and stability and why a tradeoff between the objectives may be unavoidable. We illustrate the potential tradeoff by comparing the combinations of the accuracy and stability associated with the many different “rating systems” that can be derived by applying various filters to Moody's-KMV's expected default frequencies (“EDFTM's). The performance of Moody's traditional ratings—both adjusted and unadjusted for rating reviews and outlooks—is then compared to the performance of the various filtered versions of EDF-implied ratings.
PCR-DGGE fingerprints of microbial successional changes during fermentation of cereal-legume weaning foods

Phenotypic identification and monitoring of the dynamics of naturally occurring microbial community responsible for the spontaneous fermentation of different cereal-legume weaning blends was carried out. Enumeration using culture-dependent method showed that cell counts increased within the first 24 h with the highest total viable count of 1.2 x 1012 cfu g-1 in maize-legume (1A) blend. Yeast counts increased drastically and no enterobacteria were observed within the first 24 h. At all fermentation times, acidity increased within 48 h and lowest pH value (3.60) was reached in maize–based blend. Phenotypic identification revealed that the isolated bacteria belong to the genera Bacillus species, Staphylococcus aureus, and Escherichia coli. The yeast isolates were identified as Saccharomyces cerevisiae, Saccharomyces species and Hansenula species while Lactobacillus plantarum and Pediococcus acidilactici were the predominant lactic acid bacteria (LAB). The analysis of the denaturing gradient gel electrophoresis (DGGE) pattern obtained with bacterial and LAB primers targeting the V3 region of the 16S rDNA genes clearly demonstrated that there was a major shift in the community structure within the first 24 h.
Stress induced magnetic anisotropy and giant magnetoimpedance in Fe-rich glass-coated magnetic microwires

The effect of conventional (CA) and stress annealing (SA) on magnetic properties of Fe74B13Si11C2 glass-coated microwires has been studied. CA treatment does not significantly change the character of the hysteresis loop. Under certain annealing conditions (annealing temperature, Tann>300 °C, applied stress, σ>700 MPa) rectangular hysteresis loop transforms into the inclined with magnetic anisotropy field above 1000 A/m. Such phenomenology has been related to the induction of transverse magnetic anisotropy by SA treatment. Under tensile stress the SA annealed microwire recovers rectangular hysteresis loop. Samples subjected to stress annealing show noticeable magnetoimpedance and stress impedance effects in spite of their large magnetostriction.
ANALISIS PENGGUNAAN ELENA UNTUK MENINGKATKAN EFEKTIFITAS BELAJAR BERDASARKAN PENDEKATAN TECHNOLOGY ACCEPTANCE MODEL PADA MAHASISWA FAKULTAS EKONOMI UNIVERSITAS NEGERI SEMARANG

E-Learning merupakan suatu media pembelajaran berbasis web. Di Universitas Negeri Semarang sedang dalam pengembangan media pembelajaran ini dengan nama Elena (E-Learning Universitas Negeri Semarang). Akan tetapi, media pembelajaran ini belum maksimal penggunaannya karena masih banyak mahasiswa belum mengetahui kegunaan dan cara menggunakan Elena. Penelitian ini bertujuan untuk mengetahui apakah ada Usefulness of Elena Ease of Use Elena terhadap Behavioral Intention to Use Elena secara simultan maupun parsial. Populasi dalam penelitian ini berjumlah 302 siswa yang terdiri dari 4 rombongan belajar, yaitu Pengantar Manajemen (1 rombel), Matematika Ekonomi (2 rombel) dan Ekonometrika (1 rombel). Teknik pengambilan sampel yang digunakan adalah simple random sampling, sehingga diperoleh sampel penelitian sebanyak 172 siswa. Variabel yang diteliti merupakan konstruk TAM yaitu usefulness of Elena dan ease of use Elena sebagai variabel bebas dan behavioral intention to use Elena sebagai variabel terikat. Metode pengumpulan data menggunakan angket. Metode analisis data meliputi analisis deskriptif, uji statistik t dan uji statistik F. Hasil penelitian dari uji secara parsial menunjukan bahwa usefulness of Elena berpengaruh terhadap behavioral intention to use Elena sebesar 9.85% dengan tingkat signifikansi 0.000 dan ease of use Elena berpengaruh terhadap behavioral intention to use Elena sebesar 14.97% dengan tingkat signifikansi 0.000, sedangkan hasil secara simultan menunjukan bahwa usefulness of Elena dan ease of use Elena berpengaruh terhadap behavioral intention to use Elena sebesar 47.4% dengan tingkat signifikansi 0.000. Berdasarkan hasil penelitian dapat diambil kesimpulan bahwa ada pengaruh antara usefulness of Elena dan ease of use Elena terhadap behavioral intention to use Elena baik secara simultan ataupun secara parsial, sehingga dalam rangka meningkatkan efektifitas belajar perlu adanya penambahan kapasitas upload, penambahan fitur layanan dan penambahan kapasitas pengguna Elena.