Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Subspace Clustering of High Dimensional Data

Data Clustering is an unsupervised method for extracting hidden pattern from huge datasets. Due to the sparsity of data points, conventional clustering algorithms do not scale well to cluster high dimensional data sets in terms of effectiveness and efficiency. The curse of dimensionality is the challenge posed by high dimensional data. Subspace clustering or projected clustering are the solutions for finding clusters and their relevant attributes from a dataset. In this paper, we evaluate various subspace clustering algorithms. A comparative empirical evaluation is done by using the data sets taken from UCI ML Repository. Keywords-clustering, high dimensional, subspace clustering
Synchronized Gait Through Folded Geometry

Robotics have expanded exponentially in the last decade. Within the vast examples of ambulatory robots, traditional legged robots necessitate engineering expertise and the use of specialized fabrication technologies. Micro electromechanical (MEM) robots are useful for a wide range of applications yet in most cases, difficult to fabricate and excessively intricate. Advances in pop-up laminate construction have generated a model shift in the development of robot morphologies due to their ease of fabrication and scalability from the millimeter to centimeter scale. This research continues to investigate the link between kinematics and pop-up origami structures in robotics. The objective was to design a robot that exhibited efficient and controlled locomotion minimizing number of motors. ``Crease'', an origami robot that emerges from a two-dimensional sheet into its three-dimensional configuration was developed. By amplifying a simple rotational motion through the geometry of folds in the robot, a complex gait was achieved with minimal motorized actuation. Variations in gait, control, and steering were studied through physical and computational models. Untethered Creases that sense their environment and steer accordingly were developed. This research contributes not only to the field of robotics but also to design where efficiency, adjustability and ease of fabrication are critical.
THE EFFECT OF ISCHEMIC PRECONDITIONING UPON MOLECULAR AND ULTRASTRUCTURAL ASPECTS OF RAT MYOCARDIUM

The aim of our study was to characterise the Langendorff model of rat heart investigating different durations of ischemia and reperfusion and ischemic precondition protocol (IPC) on myocardial ischemia reperfusion injury to test the potential clinical relevance of ischemic preconditioning (IP) phenomenon on infarct size, to assess genomic DNA integrity and histological and ultrastructural changes in heart muscle. Our results have shown that as ischemia and reperfusion time is extended the level of infarction is also increased. We concluded that 20 minutes stabilisation and 45 minutes ischemia followed by 30 minutes reperfusion seems to provide a compliant platform to study ischemia reperfusion injury. Protection using (ICP) was induced by 2 cycles 5` ischemia and 5` reperfusion prior lo lethal ischemia reperfusion protocols. The reduction in infarct size in IP hearts pointed out that inhibition of apoptosis is one of the mechanisms which participate in electing the increased resistance to ischemia. The potential clinical relevance of IP on ischemia-reperfusion injury is the object of clinical research to find new methods of cardioprotection in humans.
A Remark on Spot Rate Models Induced by an Equilibrium Model

Cox-Ingersoll-Ross presented so-called CIR spot rate model, which is explained by their equilibrium model. We set an econ- omy model with a slight modification of their model in terms of semi- martingale and show the existence of equilibrium in our model. Fur- thermore, we discuss interest rate under equilibrium and show the gen- eral form of spot rate dynamics induced from our equilibrium model. This model also has several good properties (mean-reverting, nonnegative, and so on) and is useful for computing bond prices and prices of interest-rate derivative securities. Surveying real financial scene, besides CIR model, a lot of spot rate mod- els are considered and used practically. Most of them, except CIR model, however, have not been sufficiently explained in the framework of equilib- rium theory. From the view of economics, it is considered that interest rate should be determined by equilibrium relation between prices of two different time-point consumption good. Therefore one is left with the question that all the spot rate models should give us sort of explanation for its relation to the equilibrium theory. From another point of view, some equilibrium conditions may restrict the class of the spot rate models appropriate for an economic scheme. Such a question motivates us to do this research.
Chapter 6 Optical Properties of Complex Oxide Thin Films Obtained by Pulsed Laser Deposition

The market for thin films of complex oxides obtained by different deposition techniques is increasing exponentially in last decades due to large variety of possible application such as high-efficient solar cell, optoelectronic devices, etc. pulsed laser deposition (PLD) is a versatile growth technique and recently became more attractive for industrial applications due to the possibility to obtain crystalline thin films on a large area. Laser processing techniques were successfully used to obtain thin films with good optical properties starting from simple oxides, such as Sm2O3, ZrO2, etc., to more complex lead-free materials: SrxBa1 xNb2O6 (SBN) and Na1/2Bi1/2TiO3 x%BaTiO3, or superconductive oxide YBa2Cu3O7 δ. When oxide thin films are designated for electronic and optoelectronic devices or for solar cells, the optical properties and the thickness must be well known. For this purpose, the spectroscopic ellipsometry technique was developed. Ellipsometry is a powerful technique to determine the optical properties of thin films especially when the thicknesses of thin films are in a nanometer range.
Absorption Wavelength Extension for Dye-Sensitized Solar Cells by Varying the Substituents of Chiral Salen Cu(II) Complexes

New chiral salen-type Cu(II) complexes ( 1-9 ) were prepared, and the effects of different substituent groups on their absorption spectra were evaluated using time-dependent density functional theory (TD-DFT). Electron withdrawing groups resulted in a red-shift and an increase in the peak intensity. According to cyclic voltammetry analyses, the introduction of electron withdrawing groups brought the redox potentials (E 0 ) in agreement with the orbital level energies determined via TD-DFT. The reduction potentials for 1-9 are less than âˆ’0.500 V, and therefore, it is electrochemically possible to dope electrons in TiO 2 . In addition, the oxidation potentials are greater than +0.200 V, indicating that it is electrochemically possible to regenerate the dyes. Preproduction dye-sensitized solar cells (DSSCs) fabricated using compounds 1-9 generated electricity. In particular, the DSSC prepared using 2 (which has electron withdrawing groups and the largest maximum absorption) exceeded the power conversion efficiency of DSSC fabricated using N3 , which is a commonly used Ru(II) complex.
Participation in and guided engagement at work: workplace pedagogic practices

This paper attempts to identify and understand the bases for workplace pedagogic practices which, it is suggested, are central to developing workplaces as effective learning environments. Initial outcomes of an investigation of guided learning in a workplace are described, highlighting how contextual factors determine the nature and quality of workplace pedagogic practices, which in turn encourage or inhibit participation in workplace learning.
2-Methoxyestradiol and Its Combination with a Natural Compound, Ferulic Acid, Induces Melanoma Cell Death via Downregulation of Hsp60 and Hsp90

Melanoma is an aggressive type of skin cancer with one of the highest mortality rates. Notably, its incidence in the last few decades has increased faster than any other cancer. Therefore, searching for novel anticancer therapies is of great clinical importance. In the present study, we investigated the anticancer potential of 2-methoxyestradiol, potent chemotherapeutic, in the A375 melanoma cellular model. In order to furthermore evaluate the anticancer efficacy of 2-methoxyestradiol, we have additionally combined the treatment with a naturally occurring polyphenol, ferulic acid. The results were obtained using the melanoma A375 cellular model. In the study, we used MTT assay, flow cytometry, and western blot techniques. Herein, we have evidenced that the molecular mechanism of action of 2-methoxyestradiol and ferulic acid is partly related to the reduction of Hsp60 and Hsp90 levels and the induction of nitric oxide in the A375 melanoma cell model, while no changes were observed in Hsp70 expression after 2-methoxyestradiol and ferulic acid treatment separately or in combination. This is especially important in case of chemoresistance mechanisms because the accumulation of Hsp70 reduces induction of cancer cell death, thus decreasing antitumour efficacy.
Appropriate Stocking and Feeding of Lake Shrimp (Caridina niloticus) Diet to Enhance Nile Tilapia Fry's Growth in an Intensive Aquaculture System

Nile tilapia (Oreochromis niloticus L.) pond culture in Kenya is currently gaining popularity through the governments’ economic stimulus programme intervention. However, lack of sufficient fry seeds to stock the ever increasing dug-out ponds is curtailing its expansion. The study therefore aimed to determine the ideal optimal stocking and feeding regimes that would enhance the growth (in <60 days) of fry’s fed a locally prepared Lake Shrimp (Caridina niloticus) diet in an intensive aquaculture pond system. Experimental fry’s with mean weights 0.06±0.02 g and lengths 13.9±0.7 mm were obtained from the same source and stocked into 1m2 pond submerged net cages locally known as (hapas) labeled A, B, C and D, respectively. Hapa A with 100 fry’s fed five times acted as control whereas Hapa B, with also 100 fry’s was only fed twice within the day. Hapas C and D with 50 and 600 fry’s, respectively, were both fed five times within the day as used in the farm. All feedings were done at 3% of total mean fry body weights for the entire experimental period. Daily pond water quality parameter values were also recorded and calculated weekly to determine the ideal water culture conditions. Weekly length (mm) and weight sampling values were also used to determine length and weight growths in addition to the fry’s Food Conversion Ratios (FCRs). Results indicated that intensively stocked fry’s at 100 individuals in 1 m2 pond area and fed twice daily using the locally prepared Caridina diet had slight significant growths (p = 0.04) with no significant FCRs (p = 0.06) in these intensive stagnant aquaculture ponds.
HYPERSPECTRAL IMAGE CLASSIFICATION BY EXPLOITING CONVOLUTIONAL NEURAL NETWORKS

Abstract. High spectral dimensionality of hyperspectral images makes them useful data resources for earth observation in many remote sensing applications. In this case, the convolutional neural network (CNN) can help to extract deep and robust features from hyperspectral images. The main goal of this paper is to use deep learning concept to extract deep features from hyperspectral datasets to achieve better classification results. In this study, after pre-processing step, data is fed to a CNN in order to extract deep features. Extracted features are then imported in a multi-layer perceptron (MLP) network as our selected classifier. Obtained classification accuracies, based on training sample size, vary from 94.3 to 97.17% and 92.35 to 98.14% for Salinas and Pavia datasets, respectively. These results expressed more than 10% improvements compared to the classic MLP classification technique.
Drivers for the Adoption of Risk Management Practices by Farmers in Ghana: Critical Inquiry from the Wa East District

This study seeks to identify the drivers for the adoption of risk management practices among farmers in the Wa East District. The study adopts both Poisson regression and negative binomial models to identify the determinants of adopting risk management practices. However, a statistical test for over dispersion indicates that the Poisson regression model suites the data best. A semi-structured questionnaire was used to collect data from 200 farm households selected through a multi-stage sampling process. The results revealed that farmers in the Wa East District are characterized by low level of formal education, operating under small scale and lack specialization. Many farm enterprises are kept by a farmer as a way of avoiding production and marketing risk. Farmers were observed to have been practicing many risk management tools with low concentration on financial risk tools. Many variables were hypothesized to have influence on the intensity of adoption but are not found significant. The significant variables include level of education, production capacity and access to services. Therefore, stakeholders interested in marketing agriculture in the Wa East District through promotion should include among their incentives ways of enhancing farmer adoption of risk management practices. Specific concentration should be on provision of credit and extension services to farmers. Farmers with some level of formal education, many farm enterprises and larger farm sizes are adopters of the intensity of risk mitigation measures. Any policy set to promote better farming practices to avoid risk should not fail to include these categories of farmers. Keywords: Adoption of Risk management practices, Wa East District, Poisson Regression, Negative Binomial Distribution, Farmers
University of Southern Denmark The Influence of F0 Discontinuity on Intonational Cues to Word Segmentation A Preliminary Investigation

The paper presents the results of a 2AFC offline wordidentification experiment by [1], reanalyzed to investigate how F0 discontinuities due to voiceless fricatives and voiceless stops affect cues to word segmentation in accentual-phraseinitial rises (APRs) of French relative to a reference condition with liquid and nasal consonants. Although preliminary due to the small sample size, we found initial evidence that voiceless consonants degrade F0 cues to word segmentation relative to liquids and nasals. In addition, this degradation seems to be stronger for voiceless stops than for voiceless fricatives, as listeners in the latter condition were more sensitive to (resynthesized) changes in the residual rise fragments. This evidence is consistent with the intonational model of [2], which predicts that listeners can to some degree restore frication-filled gaps but not silent gaps in F0, by using pitch impressions created by the fricative noise. Our results call for follow-up studies that use French APRs as a testing ground for this intonational model and also examine the precise nature of intonational cues to word segmentation.
Impact of the solar wind dynamic pressure on the Region 2 field-aligned currents

[1] The relationship between the Region 2 field-aligned currents and the solar wind dynamic pressure is investigated using magnetic field data from Defense Meteorological Satellite Program-F13 (DMSP-F13). The generation of the Region 2 currents is associated with the direction of the magnetic pressure gradient in the magnetosphere, in relation to that of the thermal pressure gradient. Past spacecraft observations have suggested that the spatial distribution of the magnetic pressure in the magnetosphere varies with the solar wind dynamic pressure. Therefore, we can expect that the Region 2 currents would depend on the solar wind dynamic pressure. We compared the Region 2 field-aligned current intensity at the altitude of the ionosphere, as derived using magnetic field data from DMSP-F13, with the solar wind dynamic pressure derived from OMNI2 hourly data. It was confirmed that the Region 2 current intensity depends on the solar wind dynamic pressure during magnetic storms. During nonstorm times, however, the correlation between the Region 2 currents and the solar wind dynamic pressure is weak. The weak correlation during nonstorm times suggests that the plasma pressure in the ring current region is also essential for the effect of the solar wind dynamic pressure on the Region 2 currents.
Social Aspects of Innovative Entrepreneurship Development

Noosphere economy is characterized by intellectualization of the whole society and entrepreneurship as the initial bearer of innovations. The development of innovative entrepreneurship can be carried out by united efforts of three key subjects of innovative structure – government, entrepreneurship, education and science system. Entrepreneurship has a status of positive social-economic changes mover and instrument of economy innovative development assurance.
Physical exercise and factors affecting among adult diabetic patients at Wolaita Soddo University teaching referral hospital, Southern Ethiopia

Background : Physical activity is an important factor in reducing morbidity from diabetes and maintaining quality of life. Regular physical activity may help to increase the glucose uptake and improve insulin sensitivity in muscle, thus leading to good glycemic control. Even though its positive impact on diabetic patients is scientifically proven, there is lack of research findings on the topic in the country especially in Wolaita zone. Therefore፣ this study aimed to assess physical Exercise and factors affecting among adult Diabetic patients at Wolaita Soddo University Teaching Referral Hospital. A facility based cross-sectional study design was used and data was collected from 201 adult diabetic patients by using structured questionnaire for patient interview to collect information on socio-demographic, socio-economic and the patient’s knowledge ,practice and attitude towards physical exercise. Among 201 patients participated in the study, 118(58.7%) were males and majority of the respondents found with in age range of 45-54, 78(38.8%) followed by 55-64, 51(27%). Majority,142 (70.6%) of diabetic patients had a body mass index of above a normal value indicating that they had obesity. Furthermore, 166 (82.6%) of the respondents had positive attitude towards importance of physical exercise for their health but only 18.4% were practicing regular physical exercise for which absence of clear instruction or education given, 21(24.5%) followed by being busy by other tasks accounting 16(22%) were found to be common barriers affecting physical exercise. In conclusion this study found that level of practicing regular physical exercise among adult diabetic patients at Wolaita Soddo University teaching referral hospital was found to be insufficient and majority of the diabetic patients were obese . Hence there should be regular follow up of patients’ body mass index and regular exercise education should be given during their each hospital visit. Keywords : Physical exercise, Soddo, Diabetes, Practice, Attitude
Towards Portable Facial Expression Recognition by Machine Learning

Facial expression recognition is a challenging task. A facial expression is formed by contracting or relaxing different facial muscles on human face which results in temporally deformed facial features like wide open mouth, raising eyebrows or etc. The challenges of such system have to address with some issues. For instances, lighting condition is a very difficult problem to constraint and regulate. On the other hand, real-time processing is also a challenging problem since there are so many facial features to be extracted and processed and sometime conventional classifiers are not even effective to handle those features and then produce good classification performance. This chapter discusses the issues on how the advanced feature selection techniques together with good classifiers can play a vital important role of real-time facial expression recognition. Several feature selection methods and classifiers are discussed and their evaluations for real-time facial expression recognition are presented in this chapter. The content of this chapter is a way to open-up a discussion about building a real-time system to read and respond to the emotions of people from facial expressions.
Interpolation-based Off-line MPC for LPV systems

Abstract Interpolation-based off-line MPC for LPV systems is presented in this work. The on-line computational time is reduced by pre-computing off-line the sequences of state feedback gains corresponding to the sequences of ellipsoidal invariant sets. At each sampling time, the real-time state feedback gain is calculated by linear interpolation between the pre-computed state feedback gains. Four interpolation techniques are presented. In the first technique, the smallest ellipsoid containing the current state measured is approximated and the corresponding real-time state feedback gain is calculated. In the second technique, the pre-computed state feedback gains are interpolated in order to get the largest possible real-time state feedback gain while robust stability is still guaranteed. In the third technique, the real-time state feedback gain is calculated by minimizing the violation of the constraints of the adjacent inner ellipsoids so the real-time state feedback gain calculated has to regulate the state from the current ellipsoids to the adjacent inner ellipsoids as fast as possible. In the last technique, the real-time state feedback gain is calculated by minimizing the one-step cost function so the real-time state feedback gain calculated has to regulate the next predicted state to the origin as fast as possible. A case study of nonlinear CSTR is presented to illustrate the implementation of the proposed techniques. The results show that the proposed interpolation techniques 2, 3 and 4 tend to produce less sluggish responses than the technique 1.
Land Inequality and Efficiency in Italian Agriculture, 1930-1940

Land inequality had been regarded by historians as a key factor shaping both the growth patterns of the Italian economy and its regional divergence. However, this view has been increasingly discarded: both the underlying assumption of how landowners operated and the growth paths of the Italian economy have been strongly revisited. In recent years, nonetheless, an interest on land inequality has arisen in economics and economic history. The models involving it are founded on different grounds than those of the traditional historiography (in nuce, rent seeking and market failures rather than pre-capitalistic behaviour), but have been mainly used to explain new settlement countries' evolution and are bounded by a dramatic lack of empirical evidence. Assuming agents rational behaviour, this paper is an exploration on the extent to which land inequality was actually a source of inefficiency in the pre-WWII Italian agriculture, though through mechanisms quite different from those assumed by traditional historiography. The hypothesis tested is whether unequal land distributions endowed landowners with market power in labour markets. The paper proceed as follows. First, the role of land inequality in Italian historiography is summarized, followed by a revision of the approaches taken by economists. Secondly, after introducing the need for revision, a monopsony model is stylized and its consequences exposed. A testable strategy is, then, proposed. Thirdly, a new dataset on land inequality is presented. Additional data needed and the accuracy of the variables used are discussed in an Appendix. Finally, formal tests are provided. After testing the baseline equation, robustness checks are introduced.