Miracle-dz/UniFAR-FTUs huggingface dataset:
New Magnetic Translation/Rotation Drive by Use of Magnetic Particles with Specific Gravity Smaller than a Liquid

Magnetic fluid has unique properties[1], by which it can, not only be attracted to, but also solidified by magnets. Many researchers have proposed useful applications for these properties, such as in dampers, sensors, actuators [2][3] and medical applications[4]-[6]. J.Furusho et al. [7] developedMR-Fluid Actuator, controlled it by use of torque Feedback. He also developed 6-DOF Rehabilitation System driven by ER-Actuator[8]. The functional fluid has performed well in clinical use. However, as all Magnetic fluids have a greater specific gravity than liquids like water, the applications are restricted.
Probiotics: A Comprehensive Review of Their Classification, Mode of Action and Role in Human Nutrition

Probiotics are live microorganisms that live in gastrointestinal (GI) tract and are beneficial for their hosts and prevent certain diseases. In this chapter, after a complete introduction to probiotics, definition, mechanism of action, and their classification, currently used organisms will be discussed in detail. Moreover, different kinds of nutritional synthetic products of probiotics along with their safety and drug interac‐ tion will be noticed. This chapter mentions all clinical trial studies that have been done to evaluate probiotic efficacy with a focus on gastrointestinal diseases. In the end, findings of our pilot study regarding the effect of probiotic on Small Intestinal Bacterial Overgrowth (SIBO) will be presented. The nutritional effects of Probiotics on a host’s health will be collected and their usage criteria will be discussed. Some suggestions for the Probiotics daily consumption will be presented and the follow-up for their new adverse reaction will be emphasized, if any.
Journal of Biogeograpny (1995) 22,1073-1081 A comparison of the Southern Appalachian (U.S.A.) and Southwestern Caucasus (Russia) forests: influences of historical events and present

The Southern Appalachian (North America) and Southwestern Caucasus (Eastern Europe) forests have a common origin, the warm-termperate Tertiary forests, but a different history of development. The Southwestern Caucasus forests experienced a dramatic species loss at the end of the Tertiary, while the Tertiary flora of the Appalachian region was preserved without major changes. Certain similarities and differences between the flora and vegetation of the Southern Appalachians and Southwestern Caucasus can be attributed to the Tertiary and post-Tertiary history of both regions. The similarities include the species-to-genus and species-to-families ratios and the floristic composition. The differences include taxonomic diversity and percentage of tree taxa.
Decay-less kink oscillations in coronal loops

Context: Kink oscillations of coronal loops in an off-limb active region are detected with the Imaging Assembly Array (AIA) instruments of the Solar Dynamics Observatory (SDO) at 171 A. Aims: We aim to measure periods and amplitudes of kink oscillations of different loops and to determinate the evolution of the oscillation phase along the oscillating loop. Methods: Oscillating coronal loops were visually identified in the field of view of SDO/AIA and STEREO/EUVI-A: the loop length was derived by three-dimensional analysis. Several slits were taken along the loops to assemble time-distance maps. We identified oscillatory patterns and retrieved periods and amplitudes of the oscillations. We applied the cross-correlation technique to estimate the phase shift between oscillations at different segments of oscillating loops. Results: We found that all analysed loops show low-amplitude undamped transverse oscillations. Oscillation periods of loops in the same active region range from 2.5 to 11 min, and are different for different loops. The displacement amplitude is lower than 1 Mm. The oscillation phase is constant along each analysed loop. The spatial structure of the phase of the oscillations corresponds to the fundamental standing kink mode. We conclude that the observed behaviour is consistent with the empirical model in terms of a damped harmonic resonator affected by a non-resonant continuously operating external force.
Ambidextrous leadership for innovation: the influence of culture

We develop a new look on leadership for innovation and propose that effective leaders alternate between a broad range of behaviors and tune their approach to the changing demands of innovation. This is referred to as ambidextrous leadership. As the importance of different leader behaviors varies not only across time but also across contexts, ambidextrous leadership takes different shapes depending on contextual conditions. We discuss culture as an important contextual condition that holds implications for effective ambidextrous leadership. Cultures have different strengths and weaknesses for innovation that can be leveraged or compensated. We use the cultural characteristics identified by the GLOBE project to discuss how leaders can take culture into account when leading for innovation.
ENBO CHEN AN APPROACH FOR IMPROVING TRANSPARENCY AND TRACEABILITY OF INDUSTRIAL SUPPLY CHAIN WITH BLOCK- CHAIN TECHNOLOGY

ENBO CHEN: An Approach for Improving Transparency and Traceability of Industrial Supply Chain with Blockchain Technology Tampere University of technology Master of Science Thesis, 74 pages November 2017 Master’s Degree Program in Automation Engineering Major: Factory Automation and Industrial Informatics Examiner: Professor José L. Martínez Lastra and Dr. Andrei Lobov
Directed Technical Change

For many problems in macroeconomics, development economics, labor economics, and international trade, whether technical change is biased towards particular factors is of central importance. This paper develops a simple framework to analyze the forces that shape these biases. There are two major forces affecting equilibrium bias: the price effect and the market size effect. While the former encourages innovations directed at scarce factors, the latter leads to technical change favoring abundant factors. The elasticity of substitution between different factors regulates how powerful these effects are, and this has implications about how technical change and factor prices respond to changes in relative supplies. If the elasticity of substitution is sufficiently large, the long-run relative demand for a factor can slope up. I apply this framework to discuss a range of issues including: Why technical change over the past 60 years was skill-biased, and why the skill bias may have accelerated over the past twenty-five years. Why new technologies introduced during the late eighteenth and early nineteenth centuries were unskill-biased. Why biased technical change may increase the income gap between rich and poor countries. Why international trade may induce skill-biased technical change. Why a large wage-push, as in continental Europe during the 1970s, may cause capital-biased technical change. Why technical change may be generally labor-augmenting rather than capital-augmenting.
Contribuciones empíricas para la validez de grupos contrastados de la Batería de Tareas de Autorregulación Cognitiva (TAC)

Los deficit de las funciones ejecutivas (FE) suelen estar presentes en el Trastorno por Deficit de Atencion e Hiperactividad (TDAH). Distintos trabajos mostraron algunas falencias vinculadas a la medicion de las FE, como la participacion de otros procesos que no constituyen objeto de la evaluacion. En el trabajo que se informa se analizaron las diferencias existentes en las FE de ninos con y sin diagnostico de TDAH y se busco identificar y establecer aquellas variables con mayor poder discriminante para la probabilidad de pertenencia a ambos grupos. Se utilizaron las tareas de la bateria denominada Tareas de Autorregulacion Cognitiva (TAC), disenadas ad-hoc para evaluar especifica y relativamente en forma independiente cada FE. Se trabajo con una muestra de 49 ninos escolarizados de 7 a 12 anos de edad, de ambos generos, divididos en dos grupos, uno clinico de 19 ninos con diagnostico de TDAH, con una media de edad igual a 9.84 anos ( DE = 1.83) y uno control de 30 ninos sin diagnostico de TDAH con una media de edad igual a 10.27 anos ( DE = .82), equiparados por genero, edad, niveles socioeconomico y educacional. Los resultados mostraron que el analisis discriminante permitio clasificar correctamente al 98% de los participantes. Las tareas mejor discriminadas fueron la de Flexibilidad cognitiva y Control inhibitorio comportamental, con un 98.9% y 97.8%, respectivamente, de casos correctos. Esto muestra que la TAC constituye una bateria con adecuada sensibilidad y especificidad para discriminar y detectar casos de TDAH con un elevado nivel de confiabilidad y porcentaje de correctos clasificados.
Coordinated Hunting Based on Spiking Neural Network for Multi-Robot System

Multi-robot systems have been extensively studied and the coordination among the robots becomes a hotspot. Among the typical research tasks of multi-robot system, coordinated hunting with unknown irregular motion of the evader or target has attracted more and more attentions due to its potential application to military, safe guard etc. The spiking neural network (SNN), considered as the third generation of neural network (Maass & Bishop, 1999), has attracted many attentions. Spikes (pulses) are used to deliver the information between neurons, i.e. SNN processes the information in the form of spikes, which brings temporal structure and extends the functionality of SNN (Kasabov, 2010). Besides the rate coding, inspired by the results of biological experiments, some coding strategies based on spike timing have been proposed, such as time-to-first-spike coding, phase coding, correlations/synchrony coding et al. (Maass & Bishop, 1999). Also, Maass et al. present some useful spiking neuron models, such as spike response model (SRM), integrate-and-fire model (IF), Hodgkin-Huxley Model and so on (Maass & Bishop, 1999). For these coding methods and neuron models, the Hebb learning is proposed to adapt the weights between neurons based on the temporal difference between input and output spikes (Kempter et al., 1999). Nowadays, the controllers based on SNN have been introduced to many applications, such as phase/frequency correlations recognizing (Kiselev, 2009), movement prediction from real-world images (Burgsteiner et al., 2005), movement generation of the robot arm (Joshi & Maass, 2005), etc. Especially, SNN has been applied to the control of the mobile robot (Floreano & Mattiussi, 2001; Roggen et al., 2003; Hagras, 2004; Qu et al., 2009). In this chapter, a robot controller based on spiking neural network (SNN) is proposed for the coordinated hunting of multi-robot system. The controller utilizes 12 direction-sensitive modules to encode and process the inputs including the environment, target and coordination information by the time-to-first-spike coding and then, the motor neurons generate the control signals for the motors according to the winner-take-all strategy. Also, the Hebbian learning with a stochastic form is applied to adjust the connection weights. The rest of the chapter is organized as follows. In Section 2, the structure of the controller is given and the inputs encoding, coordination between robots and motor neurons are
Soybean Meal and The Potential for Upgrading Its Feeding Value by Enzyme Supplementation

Soy is a crop of tremendous importance for the food industry but also in the animal feed industry. Soybeans, as well as other oilseed crops such as rape seed (canola), sunflower and palm kernel, are grown primarily for the production of vegetable oil for human consump‐ tion but the by-products after oil extraction are of similar importance as feed ingredients. Meals from these crops are obtained after the extraction of the vegetable oil from the seed. In addition, considerable amounts of cottonseed meal (a by-product of the cotton fibre produc‐ tion) are also available for animal feed. Soybean meal (SBM), the by-product after oil extrac‐ tion of soybeans has become increasingly important as a feed component and is used in variable amounts in the feeding of all species in animal production, even to some extent in the feeding of farmed fish. On a global scale SBM is dominating the market for protein meals primarily due to the high content of good quality protein, making SBM an excellent ingredient in feed formulations. SBM is particularly important for poultry production, con‐ stituting approximately 30-40 % of a standard soy/maize diet, since broilers and layers re‐ quire a high proportion of protein in their feed. It is generally estimated that approximately 46 % of all SBM produced for animal feed is used in poultry diets (broilers, layers and tur‐ keys), while another 25 % is used for feeding pigs. In the US approximately 50 % of the SBM is used for poultry, 25 % for swine and 12 % for beef cattle. Although US is the largest pro‐ ducer of soybeans, Argentina is by far the largest exporter of SBM followed by Brazil and US. With very limited own production of soy the EU is one of the leading markets for im‐ port of SBM. [1]
Update on Modulating Wound Healing in Trabeculectomy

Trabeculectomy is the most commonly used surgical procedure for managing medically uncontrolled glaucoma. It reduces intraocular pressure (IOP) by creating an artificial drainage pathway of the aqueous humor from the anterior chamber to the subconjunctival space, forming a filtering bleb. Aqueous humor in the subconjunctival space may then exit by multiple pathways including transconjunctival filtration and absorption through the episcleral veins (Fig. 1).
Aptamer-Nanoparticle Bioconjugates for Drug Delivery

Drug delivery systems traditionally relied on passive diffusion mechanisms for targeting and releasing of therapeutically active molecules. The major problems associated with traditional delivery are poor specificity and dose-limited toxicity. Nanoparticles have found applicability in the development of novel drug delivery systems by easily overcoming toxicity problem. However, specificity of delivery has remained as a challenge. Developments in the methods of reaching to targeted tissue have lead to new and improved drug delivery platforms. Recently, active targeting has been incorporated by cell specific ligands such as antibodies, lectins, growth factor receptors. More recently, aptamers gained popularity in construction of novel actively targeted drug delivery systems (Ozalp et al., 2011). Considerable proportions of aptamer-based delivery systems have been incorporated to a variety of nanomaterials in order to improve their specific targeting properties (Chen et al., 2011; Zhou et al., 2011).
Landslide tsunami

In the creation of surprise tsunami, submarine landslides head the suspect list. Moreover, improving technologies for seafloor mapping continue to sway perceptions on the number and size of surprises that may lie in wait offshore. At best, an entirely new distribution and magnitude of tsunami hazards has yet to be fully appreciated. At worst, landslides may pose serious tsunami hazards to coastlines worldwide, including those regarded as immune. To raise the proper degree of awareness, without needless alarm, the potential and frequency of landslide tsunami have to be assessed quantitatively. This assessment requires gaining a solid understanding of tsunami generation by landslides and undertaking a census of the locations and extent of historical and potential submarine slides. This paper begins the process by offering models of landslide tsunami production, propagation, and shoaling and by exercising the theory on several real and hypothetical landslides offshore Hawaii, Norway, and the United States eastern seaboard. I finish by broaching a line of attack for the hazard assessment by building on previous work that computed probabilistic tsunami hazard from asteroid impacts.
Do scavengers influence Dermo disease (Perkinsus marinus) transmission? Experiments in oyster parasite trophic interactions

OF THE THESIS Do Scavengers Influence Dermo Disease (Perkinsus marinus) Transmission? Experiments in Oyster Parasite Trophic Interactions By ELIZABETH ANNE DIAMOND Thesis Director: David Bushek Perkinsus marinus is the protozoan endoparasite of the Eastern oyster (Crassostrea virginica) responsible for Dermo disease. While not harmful to humans, Dermo disease causes extensive oyster mortality, increasing annual natural mortality from 10 to 35% or more in Delaware Bay annually. The disease spreads through the water as parasites are shed from infected and moribund hosts. One prior study has indicated that scavengers may spread the parasite to new hosts, but little information exists as to how such trophic interactions affect host-parasite dynamics. From July 2010 to September 2011, uninfected, or specific-pathogen free (SPF) oyster hosts were exposed in the laboratory to four different species of scavengers feeding on infected or uninfected oyster tissue. In each experiment, the accumulation of P. marinus in oyster hosts was compared after 1-2 months as a measure of parasite transmission. Results indicated that scavengers, regardless of species, increase the rate of
New Prospects for Vocational Education and Training International Conference on Vocational Education and Training (ICOVET 96) Taipei, Taiwan

Drawing on a series of studies into workplace learning, this paper examines the basis for organising workplace learning experiences for the development of vocational expertise. It is argued, from a constructivist perspective, that the structuring these experiences has four dimensions: (i) movement from peripheral to full participation in workplace activities; (ii) access to the product (goals) of workplace activities; (iii) proximal guidance from more expert others; and (iv) distal guidance provided by the physical as well as the social environment. Instead of an emphasis on teaching, the development of a learning curriculum is advocated which takes into account the four dimensions outlined above thereby placing a focus on learning and curriculum as a set of structured everyday activities. It is held that, through guided everyday experience in the workplace, a pathway of activities can be established through which participation can lead to thedevelopment of vocational expertise. Each of the dimensions of the ‘learning curriculum’ are seen as being salient and interrelated. In particular, it is argued that as forms of vocational knowledge become more complex, with the increased application of technology and more elaborate forms of work organisation come to be used, that close guidance of expert others become a necessary quality for the development of vocational knowledge. The paper concludes by advocating the development of `learning curriculum’. It is intended that such structures can become the basis for organising, developing and evaluating workplace learning experiences.
Traditional Models Used in Evaluation of Requests for Credit Card and Alternatives (AHP)

Abstract Thousands of people are applying for credit cards in the bank now days. Bank department that deals with credit cards is impossible to evaluate all multiple applications. Therefore they used automatic procedures based on computer and statistical models to assess the credit card requirements. The approval rating of applications until recently was based on human judgment that deals with ‘is persons evaluating applications. Recently the increasing demand for credit cards brought the necessity of evaluation models. The models used are a synthesis of highly complex mathematical analysis. These models are too difficult to understand as well as their application upon field requires users who have a certain level of education. Deficiencies and difficulties in using of them make the users to look at alternative models which are acceptable and easily accessible. Hierarchical analysis process (AHP) is a model that meets the needs for decision-making but also ease of use from that who owns the model makes it more attractive. Using AHP by banks in their decision-making needs would bring them a low cost and it would be highly efficient.
Homeostatic T Cell Expansion to Induce Anti-Tumor Autoimmunity in Breast Cancer

Abstract : We have previously shown that effective anti-tumor autoimmunity can be induced if a tumor-cell challenge is given to mice undergoing homeostatic T-cell proliferation, a process dependent on signaling by self-peptide/MHC and trophic cytokines. We investigated whether this principle can be applied to mouse models of advanced breast carcinoma, and whether the anti-tumor response can be enhanced using selected T-cell subpopulations, cytokines and tumorvaccines. The results indicated that (a) homeostatic T-cell proliferation consistently elicits anti-tumor responses; (b) irradiation is more effective than Tcell depletion by antibodies in inducing anti-tumor responses mediated by homeostatic T-cell proliferation; however, irradiation (and/or the resulting lymphopenic state) may facilitate metastasis dissemination; (c) the frequency of T regulatory (Treg) cells increases during homeostatic proliferation, particularly in the presence of a growing tumor; in vivo depletion of Treg cells enhances the anti-tumor effect of homeostatic T-cell proliferation on subcutaneous breast carcinoma; (d) gamma/delta T cells, a lymphocyte subpopulation with significant anti-tumor activity, can be induced to undergo homeostatic proliferation, and this requires depletion of both alpha/beta and gamma/delta T cell compartments and availability of either IL-7 or IL-15; (e) the anti-tumor response is diminished in aged mice, and this correlates with inefficient homeostatic T-cell proliferation; this defect can however be corrected by provision of the trophic cytokine IL-7; (f) IL-7 complexed with anti-IL-7 antibodies and/or IL-2 complexed with anti-IL-2 antibodies induce T cell proliferation in both lymphopenic and non-lymphopenic mice; (g) in non-lymphopenic mice, IL-7/antibody and particularly IL-2/antibody complexes induce cytotoxic effector functions in CD8 T cells, and inhibit tumor growth, metastasis and mortality in a model of breast carcinoma;
Edge Detection in Biomedical Images Using Self-Organizing Maps

The application of self-organizing maps (SOMs) to the edge detection in biomedical images is discussed. The SOM algorithm has been implemented in MATLAB program suite with various optional parameters enabling the adjustment of the model according to the user’s requirements. For easier application of SOM the graphical user interface has been developed. The edge detection procedure is a critical step in the analysis of biomedical images, enabling for instance the detection of the abnormal structure or the recognition of different types of tissue. The self-organizing map provides a quick and easy approach for edge detection tasks with satisfying quality of outputs, which has been verified using the high-resolution computed tomography images capturing the expressions of the Granulomatosis with polyangiitis. The obtained results have been discussed with an expert as well.
A FILM SYNOPSIS GENRE CLASSIFIER BASED ON

We propose an automatic classification system of movie genres based on different features from their textual synopsis. Our system is first trained on thousands of movie synopsis from online open databases, by learning relationships between textual signatures and movie genres. Then it is tested on other movie synopsis, and its results are compared to the true genres obtained from the Wikipedia and the Open Movie Database (OMDB) databases. The results show that our algorithm achieves a classification accuracy exceeding 75%.