Miracle-dz/UniFAR-FTUs huggingface dataset:
/ Rearrangements and Sequential Rank Order Dominance 1

Distributive analysis typically involves comparisons of distributions where individuals differ in more than just one attribute. In the particular case where there are two attributes and where the distribution of one of these two attributes is fixed, one can appeal to sequential rank order dominance for comparing distributions. We show that sequential rank order domination of one distribution over another implies that the dominating distribution can be obtained from the dominated one by means of a finite sequence of favourable permutations, and conversely. We provide two examples where favourable permutations prove to have interesting implications from a normative point of view.
Specular Andreev reflection in thin films of topological insulators

We theoretically reveal the possibility of specular Andreev reflection in a thin film topological insulator normal-superconductor (N/S) junction in the presence of a gate electric field. The probability of specular Andreev reflection increases with the electric field, and electron-hole conversion with unit efficiency happens in a wide experimentally accessible range of the electric field. We show that perfect specular Andreev reflection can occur for all angles of incidence with a particular excitation energy value. In addition, we find that the thermal conductance of the structure displays exponential dependence on the temperature. Our results reveal the potential of the proposed topological insulator thin-film-based N/S structure for the realization of intraband specular Andreev reflection.
Motion tracking in musical instrument interfaces

In cognitive music research, ones main focus is the relationship between music and human beings. This involves emotions, moods, perception, expression, interaction with other people, interaction with musical instruments and other interfaces, among many other things. Due to the nature of music as a subjective experience, verbal utterances on these aspects tend to be coloured by the person who makes them. Such utterances are limited by the vocabulary of the person, and by the process of consciously transforming these inner feelings and experiences to words (Leman 2007: 5f). Thus, gesture research has become extensively popular among researchers wanting a deeper understanding of how people interact with music. In this kind of research, several different methods are used, using for example infrared-sensitive cameras (Wiesendanger et al. 2006) or video recordings in combination with MIDI (Jabusch 2006). This paper presents methods being used in a pilot study for the Sensing Music-related Actions project at the Department of Musicology and the Department of Informatics at the University of Oslo. Here I will discuss the methods for apprehending and analysing gestural data in this project, especially looking into use of sensors for measuring movement and tracking absolute position. In this project, a superior goal is to develop methods for studying gestures in musical performance. In a large view this involves gathering data, analysing the data and organizing the data in such a way that we ourselves and others easily can find and understand the data. The sensors We are working with sensors for measuring acceleration/movement, position and muscle contraction. For movement tracking we are using the PhidgetAccelerometer 3-axis. The accelerometer connect to a computer via USB, which makes it easy to work with on any computer. It outputs data at a sample rate up to 60 Hz, which should be more than enough for tracking human movements. The accelerometer outputs three values (X, Y, Z) referring to acceleration values along the three axis of a 1 Figure 1: Accelerometer in coordinate system x y z three-dimensional coordinate system (figure 1). The accelerometer outputs both dynamic acceleration, i.e. change in velocity per time unit, and static acceleration which means the current tilt of the accelerometer. The latter is added as a offset to the three values. The way this offset is added is not mentioned in the documentations of either the Phidget-Accelerometer 3-axis or the ADXL330 (which is the acceleration chip on the accelerometer), but by looking at the data from the accelerometer, when it is kept still, it seems that this offset is added to the x, y and z axis as outlined in equation 1. This is shown by the accelerometer data in table 1.
Type 2 Diabetes Mellitus and Glucagon Like Peptide-1 Receptor Signalling

It has been estimated that approximately 8.4% of the world population currently live with diabetes mellitus and type 2 diabetes is the most common form. Type 2 diabetes increases the risk of complications such as heart attacks, blindness, amputations and kidney failure. Glucagon like Peptide-1 (GLP-1) is an effective insulinotropic agent and therefore its effects on insulin secretion have been greatly examined for more than two decades. It is a polypeptide hormone secreted by the intestinal L-cells into the blood in response to food uptake. GLP-1 has a very short half-life in vivo due to the rapid proteolytic degradation by Dipeptidyl Peptidase IV (DPP-IV). Therefore DPP-IV resistant GLP-1 analogues, Exenatide and Liraglutide, have been developed and are currently being used in the treatment of type 2 diabetes. GLP-1 agonist functions by binding to its receptor, GLP1R, on the cell surface. The GLP-1R belongs to the class B peptide receptor family based on its structure and function. The binding of GLP-1 to its receptor results in activation of Gαs coupled adenylyl cyclase and the production of cyclic Adenosine Monophosphate (cAMP), which enhances glucose-induced insulin secretion. Continuous GLP-1R activation also causes insulin secretion and pancreatic islet β-cell proliferation and neogenesis. The GLP-1R is internalised following its activation, which regulates the biological responsiveness of the receptor. Structurally the GLP-1R contains a large N-terminal extracellular domain (TM1-TM7) joined by three intracellular loops (ICL1, ICL2, ICL3) and three extracellular loops (ECL1, ECL2, ECL3), and an intracellular C-terminal domain. These domains play critical roles in GLP-1R trafficking to the cell surface, and also in agonist dependent activation and internalisation of the receptor. This review is focused on type 2 diabetes, its treatment with GLP-1, GLP-1R structure and function, and the physiological affects resulting from GLP-1R activation.
The Relationship Between Emotional Intelligence and Job Performance of Myanmar School Teachers

The primary purpose of this study was to investigate the strength of teachersâ€™ emotional intelligence by four dimensions: utilization of emotion, optimism/ mood regulation, expression/ appraisal of emotion and emotional resilience. Next was to explore the relationship between emotional intelligence and job performance of school teachers. A descriptive research survey design was taken in this study. A total of 2014 school teachers from Yangon Region and Rakhine State participated by using multistage equal stratifi ed random sampling technique. School teachersâ€™ emotional intelligence and job performance were assessed by using questionnaire survey method. In this study, out of four dimensions of EI, utilization of emotion is found to be the highest whereas emotional resilience is found to be the weakest among Myanmar school teachers. According to t-test result, gender and marital status are not related factors for EI. But senior teachers have higher EI than primary teachers and junior teachers. Then, more experienced teachers have higher EI than less experienced teachers. Comparing the two regions, school teachers in Yangon Region had higher EI than those in Rakhine State. Working experiences and job designation were related factors of teacherâ€™s job performance whereas there were no marital status and region differences in job performance. Primary teachers and junior teachers performed better than senior teachers with regard to job designation. Multiple regression analyses revealed that emotional intelligence was moderate predictor for job performance of school teachers. Optimism/ mood regulation and expression/ appraisal of emotion had direct predictive contribution to teachersâ€™ job performance.
Key-Frame Based Video Summarization Using QR-Decomposition

In this paper, we propose a novel keyframe based video summarization system using QR-Decomposition. Specially, we attend to the challenges of defining some measures to detect the dynamicity of shot and video and extracting appropriate keyframes that assure the purity of video summary. We derive some efficient measures to compute the dynam - icity of video shots using QR-Decomposition and we utilize it in detecting the number of keyframes must be selected from each shot. Also, we derive a corollary that illustrates a new property of QR-Decomposition. We utilize this property in order to summarize video shots with low redundancy. The proposed algorithm is implemented and evaluated on TRECVID 2006 benchmark platform. Compared with results reported by others, our results are among the best. These results confirm the high performance of the proposed algorithm.
A Study of Green HR Practices and Its Effective Implementation in the Organization: A Review

There is a great deal of increase in the adoption of environment management systems by the corporate sector. Literature has given importance to adoption of environmental practices as a key objective of organizational functioning making it important to identify with the support of human resource management practices. Today there is debate and uncertainty associated with how green management principles can be implemented effectively amongst the workforce of the organization. This review article identifies how corporations today develop human resource policies for promoting environment management initiatives.
Good Prediction of Gas Price between MLFF and GMDH Neural Network

Studies show neural networks have better results in predicting of financial time series in comparison to any linear or non-linear functional form to model the price movement. Neural networks have the advantage of simulating the non-linear models when little a priori knowledge of the structure of problem domains exist or the number of immeasurable input variables are great and system has a chaotic characteristics. Among different methods, MLFF neural network with back-propagation learning algorithm and GMDH neural network with genetic learning algorithms are used to predict gas price of the Henry Hob database covering 01/01/2004-13/7/2009 period. This paper uses moving average crossover inputs and the results confirms (1) the fact there is short-term dependence in gas price movements, (2) the EMA moving average has better result and also (3) by means of the GMDH neural networks, prediction accuracy in comparison to MLFF neural networks, can be improved.
Attenuation of Oxidative Damage in Alloxan Induced Diabetic Rabbits Following Administration of the Extract of the Leaves of Vernonia amygdalina.

Introduction: Diabetes is a disease that constitutes multiple sources of free radicals, thus oxidative stress is expected to have a double impact. Since oxidative stress is mediated by hyperglycemia-induced generation of free radical, it is supposed that compounds with hypoglycemic and antioxidative properties would be useful antidiabetic agents. Our study investigated the use of V. amygdalina as a potential hypoglycemic and antioxidative agent by testing its effect on the antioxidant biomarkers and lipid peroxidation. Methods: Dried leaves of V. amgydalina were extracted for 48 hrs and freeze dried. Acute toxicity was investigated in 25 rats. Thirty six rabbits were divided into 6 groups: groups I - III were normal; diabetes was induced in groups (IV – VI). Groups I and IV were normal and diabetic controls respectively. The animals were treated with aqueous leaf extract of V. amygdalina. Blood samples were collected and used for the study. Results: The reduction in body weight in the diabetic groups was regained following administration of the extract of V. amgydalina. The extract is considered safe and had little or no effect on blood glucose, MDA and GSH levels of the normal rabbits. Extract significantly reduced glucose and MDA concentrations but increased GSH levels in the diabetic rabbits. Similarly, the extract had no effect on the activities of SOD, CAT and GPx in normal rabbits, however in diabetic rabbits, the enzymes activities increased dose-dependently. Conclusion: This finding provides basis for the use of V. amgydalina as potential antidiabetic antioxidant agent and may be useful for its hypoglycemic property.
Subjective Hunger, Gastric Upset, and Sleepiness in Response to Altered Meal Timing during Simulated Shiftwork

Shiftworkers report eating during the night when the body is primed to sleep. This study investigated the impact of altering food timing on subjective responses. Healthy participants (n = 44, 26 male, age Mean ± SD = 25.0 ± 2.9 years, BMI = 23.82 ± 2.59kg/m2) participated in a 7-day simulated shiftwork protocol. Participants were randomly allocated to one of three eating conditions. At 00:30, participants consumed a meal comprising 30% of 24 h energy intake (Meal condition; n = 14, 8 males), a snack comprising 10% of 24 h energy intake (Snack condition; n = 14; 8 males) or did not eat during the night (No Eating condition; n = 16, 10 males). Total 24 h individual energy intake and macronutrient content was constant across conditions. During the night, participants reported hunger, gut reaction, and sleepiness levels at 21:00, 23:30, 2:30, and 5:00. Mixed model analyses revealed that the snack condition reported significantly more hunger than the meal group (p < 0.001) with the no eating at night group reporting the greatest hunger (p < 0.001). There was no difference in desire to eat between meal and snack groups. Participants reported less sleepiness after the snack compared to after the meal (p < 0.001) or when not eating during the night (p < 0.001). Gastric upset did not differ between conditions. A snack during the nightshift could alleviate hunger during the nightshift without causing fullness or increased sleepiness.
Dietary conjugated linoleic acids affect tissue lipid composition but not de novo lipogenesis in finishing pigs

Dietary conjugated linoleic acids (CLA) have been reported to profoundly affect lipid metabolism and to act as repartitioning agents. Currently, little is known about their effect on the fatty acid profile of tissue lipids in pigs. In the present study we determined the lipid composition of the backfat inner (BFI) and outer layer (BFO), omental fat (OF) and intramuscular fat (IMF) of the longissimus dorsi muscle in 24 Swiss Large White pigs fed diets supplemented either with 2% CLA- enriched oil (containing 58.9 g CLA isomers.100 g -1 of total fatty acids), linoleic acid-enriched oil (SO), or lard (LA). Animals were individually penned at 70 kg live weight and fed 2.8 kg . d -1 of the respective diet to slaughter at 105 kg. Growth performance, carcass characteristics and muscle mea- surements were not significantly affected by the dietary fats, although average daily weight gain and feed conversion ratio tended to be numerically improved 5-7% in the CLA-fed pigs compared to pigs of the other two treatments. Independent of the tissue, pigs fed the CLA diet exhibited higher levels of saturated fatty acids ( P < 0.05) and lower levels of monounsaturated fatty acids ( P < 0.05). By contrast, there was no difference in the distribution pattern of the saturated fatty acids between the LA and SO groups, but pigs fed the SO diet had lower monounsaturated and higher polyunsaturated fatty acid levels compared to those fed the LA diet. The CLA content of the BFO, BFI and OF was similar and did not indicate a preferential incorporation in one of the tissues. Compared to the adipose tissue, approximately 67% lower total CLA concentrations were found in the IMF. The in vitro activity of lipogenic enzymes was not altered by the dietary fat suggesting that lipogenesis was not affected by CLA. The distinct shift towards higher deposition of saturated fatty acids and lower deposition of monounsaturated fatty acids indicated a potential down-regulation of Δ9-desaturase activ- ity by dietary CLA.
Faster radial strain relaxation in InAs-GaAs core-shell heterowires

The structure of wurtzite and zinc blende InAs-GaAs (001) core-shell nanowires grown by molecular beam epitaxy on GaAs (001) substrates has been investigated by transmission electron microscopy. Heterowires with InAs core radii exceeding 11 nm, strain relax through the generation of misfit dislocations, given a GaAs shell thickness greater than 2.5 nm. Strain relaxation is larger in radial directions than axial, particularly for shell thicknesses greater than 5.0 nm, consistent with molecular statics calculations that predict a large shear stress concentration at each interface corner.
Pharmakotherapie bei niereninsuffizienten Patienten und unter Dialysebehandlung

Drug Therapy in Patients with Impaired Kidney Function and on Dialysis. Some colleagues still know only 2 stages of impaired kidney function, namely the ”compensated“ and the ”decompensated“ ones. Presently, however, 5 stages of chronic kidney disease can be distinguished. About 20 % of hospital patients have impaired kidney function that remains unnoticed because of the ”creatinineblind“ range. Many antidiabetic and antihypertensive drugs are eliminated by the kidneys when alternative preparations could be used that are independent from kidney function, such as gliquidon and metoprolol. Antimicrobial, antiviral, and anti-cancer drugs are classic examples that require dose-adjustments in case of impaired kidney function. Dose adjustment targets at the right dose and the right administration interval. Not only is every patient different but also every drug. Nevertheless, there are simple rules that can be applied to every patient and to each drug. Pharmacokinetics and -dynamics describe such rules. Consideration of pharmacodynamic principles is required, in addition to pharmacokinetic rules for sufficient drug dose adjustment calculations. J Klin Endokrinol Stoffw 2011; 4 (1): 26–9.
Seismic upgrading of structures: a design procedure for dissipative buckling restrained braces

Existing reinforced concrete frame buildings with non-ductile detailing suffered severe damage and caused loss of life during earthquakes. Different rehabilitation systems have been developed to upgrade the seismic performance of this kind of structures. The research discussed in this paper deals with the seismic upgrading of frame structures, in particular for the application presented buckling restrained steel braces (BRB) have been selected. A displacement-based procedure to design dissipative bracing for the seismic protection of frame structures, together with an optimization criteria for the bracing, is proposed and some applications are discussed. The procedure does not require sophisticated dynamic nonlinear analyses but only common non linear static analyses: it is based on the displacement based design and using the capacity spectrum method. Two performance objective have been considered developing the procedure: to protect the structure against structural damage or collapse and avoid non-structural damage.This latter is done limiting global displacements and interstorey drifts. Finally the procedure has been applied to some case studies and existing r.c. frames both 2D and 3D.
DETERMINANTS OF INDONESIAN FIRMS’ CAPITAL STRUCTURE: PANEL DATA ANALYSES*

Tulisan ini bertujuan untuk menelaah determinan struktur modal perusahaan di Indonesia. Sampel yang diambil adalah 87 perusahaan yang terdaftar di BEJ. Model panel data digunakan sebagai metoda dalam menganalisis determinan struktur modal. Dari hasil regresi diketahui bahwa variabel tangibility, growth opportunity, size, dan profitability mempunyai pengaruh terhadap struktur modal perusahaan. Keywords: Capital Structure, Determinant, Indonesia, Panel Data.
Duration of Non-standard Employment

Non-standard employment is fairly common in Canada, accounting for almost two in five workers aged 16 to 69. Concerns about nonstandard work arise because workers in these jobs tend to have low earnings and are more likely to live in low-income families. They also face greater risk of unemployment and enjoy fewer employer- or government-sponsored benefits. Adding fuel to these concerns is the persistence of nonstandard employment among the people who hold these jobs. For example, of the five million Canadians in non-standard jobs in 1999; half remained in such jobs throughout the following two years. Older workers (45 to 69) were particularly susceptible. The potentially negative aspects of non-standard work are mitigated by many individuals choosing selfemployment, or temporary or part-time jobs. Moreover, non-standard work often serves as a gateway to standard employment. For example, some 60% of individuals without jobs in 1999 who were subsequently employed in 2000 or 2001 initially found nonstandard work. And the temporary nature of non-standard work among youth indicates that for this group non-standard work is typically a stepping stone to permanent full-time employment.
The Effects of Competition Policy: Merger Approval, Entry Barrier Removal, Antitrust Enforcement Compared

There is little evidence on the comparative effectiveness of different competition policy measures, especially in transition economies. This research represents the effort to expand the financial event study method for the assessment of different competition policy measures: merger control, antitrust investigations on abuse of dominance, and changes of import tariffs in the Russian ferrous and non-ferrous metals markets from 2007 to 2012. According to the reaction of financial market, mergers between Russian metal producers restrict competition and reduce consumer welfare. Antitrust investigations have a positive effect on stock prices of buyers of metal and no significant impact on the market valuation of target of investigation. Changes in import tariffs have a positive significant impact on the company stock prices. The sign of each effect allows the comparison of different measures of competition policy.