Miracle-dz/UniFAR-FTUs huggingface dataset:
Connections Among Different Criteria for Asymmetrical Fractional Factorial Designs

In recent years, there has been increasing interest in the study of asym- metrical fractional factorial designs. Various new optimality criteria have been proposed from dieren t principles for design construction and comparison, such as generalized minimum aberration, minimum moment aberration, minimum projec- tion uniformity and the 2 (D) (for design D) criteria. In this paper, these criteria are reviewed and the 2 (D) criterion is generalized to the so-called minimum 2 criterion. Connections among dieren t criteria are investigated. These connections provide strong statistical justication for each of them. Some general optimality results are developed, which not only unify several results (including results for the symmetrical case), but also are useful for constructing asymmetrical supersaturated designs.
Between Europeanization and Euro‐Asianism: Foreign Policy Activism in Turkey during the AKP Era

Abstract Focusing on Turkish foreign policy in the post‐Cold War era, this paper argues that the period can be divided into three distinct phases: an initial wave of foreign policy activism in the immediate post‐Cold War context; a new or second wave of foreign policy activism during the Justice and Development Party (Adalet ve Kalkınma Partisi, AKP) government era with a strong emphasis on Europeanization; and the more recent tension between Europeanization and Euro‐Asianism. This paper argues that during the AKP era Turkey maintained considerable continuity in terms of foreign policy activism and a multilateral approach to policymaking. Yet at the same time, a certain discontinuity or rupture can be identified starting in the middle of the first AKP government's reign, signifying a shift from a commitment to deep Europeanization to loose Europeanization along with a parallel shift to a soft Euro‐Asianism. Ultimately, the interaction between an intricate set of priorities on the domestic and international fronts will determine the future path of Turkish foreign policy.
Personalizing Web Search via Modelling Adaptive User Profile

Personalized search has become an active on-going research field. Recent studies have stated that user interests could be learned automatically. As far as we know, these studies, however, neglect the changes of user interests. In this paper, we introduce an adaptive scheme to learn these changes from click-history data, and a novel rank mechanism to bias the search results of each user. A taxonomic hierarchy for modelling the user profile repre- sents the user interests. Adaptation strategies are devised to capture the accumulation and degradation changes of user interests, and adjust the content and structure of the user profile to these changes. Experimental results show that a rank mechanism based on this scheme yields greater improvement over the compared rank mechanisms.
Framework for Digitally Mature Schools

Rapid diffusion of Information and Communication Technologies (ICT) in all professional and personal areas require digital maturity from schools. In order to assess this aspect of school, a concept of digitally mature school has been developed and translated into different frameworks. In this paper, we describe development methodology of Framework for Digitally Mature Schools (FDMS) in Croatia. The FDMS, together with the accompanying instrument and software, represents a unique and comprehensive tool set for the assessment of digital maturity of a school. The FDMS recognized five areas divided into 38 elements that are described on five digital maturity levels in the form of a rubric.
Protozoan functional responses: effects of species, genotype, and anti-predator defences

Hypothesis: Induced anti-predator defences reduce foraging efficiency. Organism: Two clones of Euplotes aediculatus, and one clone of E. plumipes, species of hypotrich ciliated protozoan feeding on the green alga Chlorella vulgaris. Study site: Laboratory experiment. Methods: We induced defences using frozen turbellarian flatworm predators. We counted captured cells directly using the autofluorescence of chlorophyll. We then estimated functional responses of induced and uninduced morphs using non-linear mixed effects models of counts of captured cells. Results: All clones had Type II functional responses. Variation in attack rates and handling times was as large between clones as between species. Only the clone with the largest morphological change clearly had reduced foraging efficiency. This was due to longer handling times.
On the Quick Prediction of Lean Blowout Limits for Gas Turbine Combustors

The lean blowout (LBO) limit plays a critical role in the operation of gas turbine combustors. In order to achieve the quick prediction of the LBO limit, three major prediction tools for the LBO limit, i.e. the semi-empirical correlation, the numerical prediction method and the hybrid prediction method are proposed. The semi-empirical correlations are mainly based on the characteristic time (CT) model and the perfect stirred reactor (PSR) model. The semi-empirical correlations based on the PSR model are widely applied. Among these correlations, Lefebvre’s LBO model that had been validated on 8 different aero gas turbine combustors with the uncertainty ±30% is the most successful. Later, many researchers did further studies to improve Lefebvre’s LBO model. The numerical prediction methods are reported increasingly with the rapid development of the computing power. Up to now, some researchers validated the numerical prediction methods in 2 different combustor configurations with the prediction uncertainties about ±25%. More studies are required to validate the effects of the combustor configurations and the atomization performances on the LBO limit. The hybrid prediction methods try to combine the semi-empirical correlations with the numerical methods and are widely attempted in recent years. Many researchers have studied the numerical based hybrid method, which needs more validations and general criterions for different configurations and operating conditions. Other researchers have studied the semi-empirical based hybrid method, which has shown good agreement for 11 different combustor configurations with the prediction uncertainties about ±16%. Further improvements are required for all prediction tools to achieve more general and accurate predictions for the LBO limits of gas turbine combustors.
Post-M&A Operating Performance of Indian Acquiring Firms: A Du Pont Analysis

This paper investigates the impact of mergers and acquisitions (M&A) on corporate performance. It compares performance of the corporates involved in M&A before and after M&A. The results pertaining to operating cash flow ratios show that there is an improvement in performance of the acquiring firms in the post-M&A period. The analysis in terms of Du Pont shows improvement in the long-term operating profit margin of the acquiring firms. This indicates that the acquiring firms earn higher profits per unit net sales after M&A. The higher cash flows are generated primarily due to the better operating margins.
Pattern Recognition Of Medicinal Leaves Using Image Processing Techniques

Medicinal leaves have been widely used in medicine, Pharamastic and Cosmetic industry. Knowing of the medicinal leaves are very critical in the futures. Nevertheless, the current way of identification and determination of the type of medicinal leaves is still being done manually and prone to human error. Leaves species is essential since this will improve medicinal species classification efficiency. In this paper the recognition approach identifies the shape and texture features of the medicinal leaves. In this paper MATLAB is used. First, we extract certain features from the inputted leaf images, later using different methods like thresholding, segmentation. After preprocessing the image data are applied to Neural Network. And compared with several trained databases. Thus this paper analysis the medicinal leaves with a successfully using image processing.
Keys to Relational Competence in Internal Marketing

The paper explores the concept of internal market orientation (IMO) which enables the identification of intra-organisational exchanges in working relationships between employees and the organisation’s managers, and in particular, relationships between employees and demonstrated relational competence. The internal marketing of a not-for-profit organisation in Australia is examined through qualitative research and data is collected by a series of 28 in-depth interviews and observations. By analysing the interpersonal mechanics of an internal market orientation within the context of a not-for-profit organisation, it is suggested that organizations can build competitive advantage through their employees’ interpersonal relational competencies. This may indeed increase the organisation’s ability to practice internal marketing behaviours, with the view to increasing employee performance. Thus the dimensions, of interpersonal relational competence have demonstrated importance to the success of internal market orientation. This research begins to close the gap in the current market orientation literature by increasing our understanding of employee perspectives and behaviours. ; ;
Application of betel leaves (Piper betle L.) extract for preservation of homemade chili bo.

This study is conducted to investigate the effect of different concentrations of betel leaves extract on color, pH and microbiological in homemade chili bo. The homemade chili bo with different concentrations (0 mg/ml, 0.75 mg/ml, 1.25 mg/ml and 1.75 mg/ml) of betel leaves extract were prepared for analysis. The results showed that the color of chili bo became darker as the concentration of betel leaves extract increased. The extract showed significant in the pH of chili bo after 7 days in which the highest concentration of extract showed the highest value of pH 4.31. The aerobic microbial count was decreased as the concentration of betel leaves extract increased in chili bo. After 7 days of storage, the highest concentration of betel leaves extract showed the highest percentage of reduction (6%), while the control sample showed 2.41% of aerobic reduction. The study also found that the extract contain lesser yeast and mold count (5.22 log CFU/ml) in homemade chili bo compared to the control sample (5.31 log CFU/ ml) after 7 days. Betel leaves extract can be considered as natural food preservatives in chili bo to reduce the growth of spoilage microorganism and thus enhance the shelf life of chili bo.
Spatial Correlation Extraction via Random Field Simulation and Production Chip Performance Regression

Statistical timing analysis needs a priori knowledge of process variations. Lack of such a priori knowledge of process variations prevents accurate statistical timing analysis, for which foundry confidentiality policy has largely been blamed. A significant part of process variations are design specific, and can only be extracted from production chip performance statistics. In this paper, the author adopts the homogeneous isotropic random field model for intra-die random variations, apply fast Fourier transform (FFT) to simulate a homogeneous isotropic random field, obtain corners for Monte Carlo SPICE simulation of timing critical paths in a VLSI circuit, and apply regression to match production chip performance statistics. Experimental results based on a timing critical path in an industry design with 65 nm predictive technology models reveal constant mean, increased standard deviation, and decreased skewness of a signal propagation path delay as spatial correlation increases. The proposed spatial correlation extraction technique can be applied in a chip tapeout process, where process variations extracted from an early tapeout help to improve statistical timing analysis accuracy and guide engineering change order of subsequent tapeouts.
Using airborne laser scanning data and digital aerial photographs to estimate growing stock by tree species

Nowadays modern remote sensing techniques are seen as very attractive alternatives for expensive field measurements in forest inventories. The most promising remote sensing technique for forest inventory purposes is currently Airborne Laser Scanning (ALS). Several studies have indicated that essential forest characteristics such as mean height, basal area and stand volume can be predicted very accurately using ALS data. However, most ALS studies have concentrated on predicting total stand characteristics although species-specific characteristics are of primary interest in Finland. The aim of the thesis is to develop and evaluate methods for species-specific stand level forest inventories using remote sensing. The study was carried out in two test areas, both of which are located in eastern Finland and represent typical managed boreal forests in Finland. All the modelling was done at plot level and the tree species considered were Scots pine (Pinus sylvestris L.), Norway spruce (Picea abies (L.) Karst. ) and deciduous trees as a species group. The simultaneous use of ALS data and aerial photographs forms a basis of the work; the idea is that the ALS data bring information about dimensions and that aerial photographs are useful in order to discriminate between tree species. In the first sub-study regression modelling combined with fuzzy classification and a variant of the nearest neighbour method called k-MSN were compared for determining species-specific volumes. The k-MSN method provided promising results and in the second sub-study it was extended to simultaneously predict by tree species: volume, stem number, basal area, and diameter and height of the basal area median tree; and to calculate total characteristics as sums of the species-specific estimates. The third sub-study investigated the ability of remote sensing information to predict species-specific diameter distributions. The nearest neighbour approach in which field measured trees were used as such to predict diameter distribution outperformed a theoretical diameter distribution approach in which the parameters of the Weibull distribution were predicted using the k-MSN estimates. In the fourth sub-study a new method was presented which uses the unrectified aerial photographs with known external and internal orientation instead of orthorectified images. This overcomes certain issues that are inherent to the previously used approach: the radiometric correction of aerial photographs, and the proper linkage of ALS points and aerial photographs. The nearest neighbour method employed in this thesis turned out to be an efficient and versatile approach to estimating both total and species-specific forest characteristics and diameter distributions when using ALS data, aerial photographs and a set of sample plots as source data. The accuracies achieved in the estimation of species-specific characteristics were at least as good as those obtained by the current field inventory practise, and in the case of total characteristics the accuracy was even better.
Antidiabetic and Analgesic Effects of Glycosmis pentaphylla (Retz.) in Swiss Albino Mice

Background and purposes: Glycosmis pentaphylla (Retz.) Correa, a medicinal plant is popularly used as herbal remedy for various ailments in Bangladesh. It was also reported that GP has both anti-hyperglycemic and analgesic effects and being widely used to reduce blood glucose and to alleviate pain for many years in this region though published literatures are scarce. The present study was designed to evaluate whether ethanolic extract of Glycosmis pentaphylla (GP) have antihyperglycemic and analgesic effects. A total of 60 Swiss Albino male mice of nine weeks (weight, 20-25g) were used for investigation. Of them, 40 were made diabetic by alloxan. They were investigated in two groups – a) 20 mice by oral glucose tolerance test (4 samples OGTT) – at 0, 30, 90 and 120 min; and b) 20 mice for a week-long antihyperglycemic activity on day 0, 1, 3 & 7. Both the groups were subdivided into four, each having 5 mice – i) the ‘control’ received only 0.5% methyl cellulose as vehicle; ii) ‘Standard’ received vehicle plus metformin; iii & iv) test ‘DGP250’ & ‘DGP500’ received vehicle plus GP extract with 250 & 500 mg /kg, respectively. For the analgesic activity, 20 mice were investigated in four subgroups, each having 5 mice and similar steps were adopted. Here, vehicle was used 1% Tween 80 and intra-peritoneal injection of Acetic acid for eliciting pain in all four subgroups. The ‘standard’ group got diclofenac sodium for comparison with the test groups ‘GP250’ and ‘GP500’. In OGTT, Ethanolic extract of GP250 and GP500 reduced blood glucose at 90 min. But the levels of reduction were more significant at 120 min, 50.7% by GP250 and 66% by GP500 (p<0.001). The reduction is almost comparable with that induced by metformin. Likewise, for a weeklong anti-hyperglycemic activity, the GP extracts were found as equally effective as metfomin, which was also dose dependent. In addition to antihyperglycemic effect, the ethanolic extract of GP showed significant analgesic effect that was also dose dependent. Our results indicate that GP extract has antihyperglycemic effect in both short and in weeklong duration, which is almost comparable to Metformin HCL, a known and widely used antihyperglycemic agent. The GP extract was also found to have an analgesic effect almost comparable to diclofenac sodium, a known analgesic drug. Further study is needed to confirm the anti-hyperglycemic and analgesic effect of GP including its side effects in long term use. DOI: http://dx.doi. org/10.3329/imcj.v6i1. 14721 Ibrahim Med. Coll. J. 2012; 6(1): 21-26
A review of conjectured laws of total mass of Bacry–Muzy GMC measures on the interval and circle and their applications

Selberg and Morris integral probability distributions are long conjectured to be distributions of the total mass of the Bacry–Muzy Gaussian Multiplicative Chaos measures with non-random logarithmic potentials on the unit interval and circle, respectively. The construction and properties of these distributions are reviewed from three perspectives: Analytic based on several representations of the Mellin transform, asymptotic based on low intermittency expansions, and probabilistic based on the theory of Barnes beta probability distributions. In particular, positive and negative integer moments, infinite factorizations and involution invariance of the Mellin transform, analytic and probabilistic proofs of infinite divisibility of the logarithm, factorizations into products of Barnes beta distributions, and Stieltjes moment problems of these distributions are presented in detail. Applications are given in the form of conjectured mod-Gaussian limit theorems, laws of derivative martingales, distribution of extrema of [Formula: see text] noises, and calculations of inverse participation ratios in the Fyodorov–Bouchaud model.
A NOVEL MODEL OF BLOOD IMPEDANCE FOR INDIRECT VISCOSITY MEASUREMENT

Recent studies have shown the existence of a remarkable strong correlation between electrical impedance and viscosity of blood. Because of possible application for indirect viscosity measurement, impedance-measurement techniques have been investigated. In this paper two measurement techniques to measure blood impedance are discussed. These are the two-electrodes and the four-electrodes technique. The results show the advantages and drawbacks of both these techniques, which appear to depend on the frequency range and the electrodes contact of the electrode-blood interface. Based on experimental results, a novel model for blood impedance has been developed. As compared to existing models, the novel model is valid for a wider frequency range.
Effect of Cueing on Learning Transfer Among Pre-professional Undergraduate Healthcare Students Engaged in a Case-based Analogical Reasoning Exercise

To examine the extent of transfer of cued versus non-cued preprofessional healthcare undergraduates engaged in a case-based analogical reasoning exercise. Independent t-test analysis and effect size was calculated to assess transfer between cued and non-cued participants (N = 192). Cued participants (n = 98, M = 2.30, SD = .89) demonstrated significantly more transfer (t (175.91) = 2.65; p = . 009; CI95 = (.10, 0.68); d = . 39) than non-cued participants (n = 94, M = 1.9, SD = 1.14). Learning transfer improves among preprofessional undergraduates when cued during a case-based analogical reasoning experience. Transfer of learning has been characterized as the ability to use knowledge or skill obtained in one context to solve a problem in another, either similar in nature, known as near transfer, or dissimilar in context, termed far transfer (Barnett & Ceci, 2002). In allied health and medical education, instructors expect students will acquire the ability to transfer their classroom learning of patient cases to solve novel clinical problems in practice (Radtke, 2008; Shine, 2002). One of the most common instructional methods that has persisted to promote transfer and problem-solving has been the examination of a single patient case (Shine, 2002), a pedagogical practice shown to be ineffective (Gentner, Loewenstein & Thompson, 2003; Norman, Dore, Krebs & Neville, 2007). However, researchers have demonstrated that use of multiple case examples with instructor cueing (prompting or provision of hints) is superior for fostering transfer of learning to enable novel problem solving (Gentner, Loewenstein & Thompson, 2003; Norman et al., 2007). Instructors serve a central role in the case-based analogical reasoning process because they not only cue the learner to identify structural relationships that exist between the cases being compared and the learner’s past experiences, but also how these relationships may solve future problems (Shayo & Olfman, 2000; Speicher & Kehrhahn, 2009; Yelon, Sheppard, Sleight & Ford, 2004). Speicher and Kehrhahn (2009) proposed a model (Figure 1) that supports the intervention of cueing during the case-based analogical reasoning process to foster learning transfer. The cueing intervention helps learners retrieve and map their present learning
Physical Characteristic Changes of Syrian Olive (Olea Europaea) Oils During Irradiation and Storage Time

There is no information available in the literature on the effect of gamma irradiation on the physical properties of olive oils. Therefore, the objective of this study was to determine the effect of γ-irradiation treatment (0, 1, 2 and 3 kGy), storage time of olives (0, 30 and 45 days), and storage time of extracted oils (0, 6 and 12 months) on physical properties of Syrian Kaissy cv olive oil (SKOO). Refractive index (RI), viscosity and color of olive oils were determined, immediately after extraction and after 6 and 12 months of storage. Results showed that the RI (1.4659 ± 0.0002), viscosity (151.67 ± 1.53 mPa s-1), and color parameters (lightness (L*) (71.51 ± 2.06), redness (a*) (14.65 ± 0.91), yellowness (b*) (56.85 ± 3.27) and overall color difference (ΔE) (53.74 ± 3.97) values of olive oil was significantly (p<0.05) changed by γ-irradiation and storage time. In general, the RI of SKOO was significantly (p<0.05) increased by γ-irradiation and decreased by extended storage time. The viscosity values of SKOO were significantly (p<0.05) decreased by γ-irradiation and storage time. Irradiation treatment and storage time increased significantly (p<0.05) the a* and ΔE values, and decreased significantly (p<0.05) the b* of olive oils. The analytical parameters studied of oil extracted from irradiated and non-irradiated fruits were within the limits established by the International Olive Council (IOC, 2015).